CN112711200A - Intelligent building management system based on big data - Google Patents
Intelligent building management system based on big data Download PDFInfo
- Publication number
- CN112711200A CN112711200A CN202011586621.4A CN202011586621A CN112711200A CN 112711200 A CN112711200 A CN 112711200A CN 202011586621 A CN202011586621 A CN 202011586621A CN 112711200 A CN112711200 A CN 112711200A
- Authority
- CN
- China
- Prior art keywords
- intelligent
- periods
- state
- elevator
- adjustable
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Indicating And Signalling Devices For Elevators (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides an intelligent building management system based on big data, which comprises a cloud big database and a plurality of control subsystems; the target building is connected to an intermediate buffer queue through a plurality of edge computing units, and the intermediate buffer queue is used for storing the state parameters of the target building, which are sent by the edge computing units under a first preset condition; the control subsystem is connected with the intermediate cache queue, acquires the state parameter from the intermediate cache queue, and sends a first feedback result to the edge computing unit based on the state parameter; the control subsystems are remotely connected with the cloud big database, and when the state parameters meet second preset conditions, the state parameters are sent to the cloud big database; and the cloud big database generates a second feedback result after analyzing and calculating based on the state parameters, and broadcasts the second feedback result to the plurality of control subsystems through a broadcasting component.
Description
Technical Field
The invention belongs to the technical field of big data and intelligent control, and particularly relates to an intelligent building management system based on big data.
Background
In recent years, from the initial pragmatic dispute in China to becoming a daily necessity, to the establishment of a building-necessary intelligent idea in the whole society, the intelligent building is a process of continuously enriching the functions and connotation of the traditional building industry and simultaneously meets the requirements of people in various aspects.
In the future, more and more people will live in cities. By the united nations forecast, 56% of the world population will be urban residents by 2022; by 2050, this figure would rise to 68%. This means that we must make more efficient use of existing resources while reducing overall energy consumption.
With the continuous construction and development of high-end building in cities, the management of functional energy electromechanical devices and other operation and maintenance stages of the building is gradually improved, the intelligent building is proposed to be realized in recent years, the new technologies such as the cloud computing internet of things and big data are used for rapidly advancing into the daily operation and maintenance management engineering of the intelligent building, but the management engineering of the building is huge at present, multiple professions are involved, multiple systems are adopted, the comprehensive management difficulty is high, how to select an informatization means to accelerate data integration and establish an operable information management mode, a visual three-dimensional information management platform is formed, the comprehensive intellectualization of building management is realized in a real sense, and the problems and challenges to be solved are needed.
The invention of China patent application CN201811225163.4 provides a GIS-based intelligent building operation management platform, which comprises a GIS system, a server and a category management system, wherein the server comprises a database, the server is connected with a platform big data center through a switch, the platform big data center is connected with the GIS system, the GIS system is connected with the category management system, the GIS system is also connected with a contextual model execution and alarm system, the category management system is connected with a portal system, a service system, an intelligent property, equipment centralized monitoring, intelligent application and an operation management system, the invention adopts the GIS-based system to manage building operation, realizes an intelligent management mode, provides clear decision support for building management, has various practical space analysis functions, improves the timeliness of operation management, and saves labor cost, reduce the mistake, provide the guarantee for building fire safety's operation management.
CN201910940917.2 proposes a remote operation and maintenance system of intelligent building based on data cloud platform, and the subsystems that the monitoring part relates to include central air conditioning system, new trend system, prevent that discharge fume system, drainage, domestic water system, elevator system, lighting system, security protection system, fire control system, energy management system etc.. The intelligent computing part comprises an edge computing module, a fog computing module and a cloud computing module. And the cloud issuing is based on the cloud platform to issue the intelligent calculation result for the user to select and use. According to the method, single building multi-target multi-dimensional appeal is integrated, data collection and transmission are carried out by using the Internet of things and the Internet technology, data interconnection and intercommunication are achieved, local optimization control is carried out, and meanwhile, different building original data are uploaded to the cloud end by a system; the cloud end manages the original data of the intelligent buildings and carries out cloud computing, knowledge acquisition is achieved, found knowledge is published through the cloud platform, guidance is provided for control over the buildings, and therefore intelligent operation and maintenance management of the buildings is achieved.
However, along with the continuous popularization of intelligent household equipment in novel building, the energy consumption data of user produces in a large number, how when satisfying user's in-service use demand, reduces building user's whole energy consumption as far as, and then excavates data value in big data, realizes the intellectuality of building and even intelligent automatic management and control, becomes the technical problem who awaits the solution urgently.
Disclosure of Invention
In order to solve the technical problems, the invention provides an intelligent building management system based on big data, which comprises a cloud big database and a plurality of control subsystems, wherein each control subsystem is used for managing and controlling a preset target building.
In the invention, the target building is provided with an intelligent elevator, an intelligent water pump and intelligent electric equipment;
the intelligent electric equipment comprises a plurality of controllable electric periods, the intelligent water pump comprises a plurality of opening periods and a plurality of output powers corresponding to the plurality of opening periods, the intelligent elevator comprises a first fixed manned elevator and a second adjustable state elevator, the second adjustable state elevator comprises adjustable dispatching strategy parameters, and the adjustable dispatching strategy parameters comprise time periods when the second adjustable state elevator stops at each floor of the target building;
the target building is connected to an intermediate cache queue through a plurality of edge computing units, the intermediate cache queue is used for storing state parameters of the target building, which are sent by the edge computing units under a first preset condition, wherein the state parameters comprise the controllable power utilization time interval, an opening time interval, a plurality of output powers corresponding to the opening time intervals and the adjustable scheduling strategy parameters;
the control subsystem is connected with the intermediate cache queue, acquires the state parameter from the intermediate cache queue, and sends a first feedback result to the edge computing unit based on the state parameter;
the control subsystems are remotely connected with the cloud big database, and when the state parameters meet second preset conditions, the state parameters are sent to the cloud big database;
and the cloud big database generates a second feedback result after analyzing and calculating based on the state parameters, and broadcasts the second feedback result to the plurality of control subsystems through a broadcasting component.
As one of the advantages of the present invention, the plurality of control subsystems are used as nodes of the intelligent building management system to form a closed-loop local block chain, and each control subsystem broadcasts a feedback result obtained from the cloud big database after sending a state parameter to all nodes in the block chain based on the broadcast component, thereby implementing big data sharing and consistency update.
The edge calculation unit acquires a plurality of controllable electricity utilization periods of all the intelligent electricity utilization devices of the target building; each controllable power utilization time interval consists of a time starting point and a time ending point;
and performing intersection calculation on the plurality of controllable electricity utilization periods, and determining a plurality of opening periods and a plurality of output powers corresponding to the plurality of opening periods of the intelligent water pump based on the result of the intersection calculation.
The edge calculation unit sends the state parameters of the target building under a first preset condition, and specifically comprises:
and when the number of the time periods contained in the intersection calculation result is greater than a preset number, the edge calculation unit sends the state parameters of the target building to the intermediate cache queue.
The sending, by the control subsystem, a first feedback result to the edge calculation unit based on the state parameter specifically includes:
the control subsystem re-determines the on-period of the smart water pump and the output power in the plurality of on-periods based on the second feedback result broadcasted by the broadcasting component.
When the state parameter meets a second preset condition, the control subsystem sends the state parameter to the cloud big database, and the method specifically comprises the following steps:
and if the intersection calculation of the edge calculation unit has data blockage, the state parameter is sent to the intermediate cache queue when the edge calculation unit detects the data blockage, and the control subsystem acquires the state parameter from the intermediate cache queue and sends the state parameter to the cloud big database.
The second adjustable state elevator is in communication with the first fixed manned elevator, adjusting the adjustable dispatch strategy parameters based on operating parameters of the first fixed manned elevator;
the second adjustable state elevator includes an intelligent garbage collection system.
According to the technical scheme, the intelligent building management system adopts the combination of the edge computing technology and the big data technology to intelligently manage the building comprising the intelligent equipment, so that intelligent building control and block chain sharing of different building control strategies are realized; meanwhile, the realization mode of local edge calculation ensures that the calculation delay can not be caused even under the pressure of large-flow multi-target user data; meanwhile, if the data calculation exceeds the local calculation capacity and data blockage occurs, starting cloud auxiliary calculation; finally, the intelligent garbage collection and transportation can be realized based on the intelligent building, and the intensive management and utilization of resources are realized to the greatest extent while the actual use requirements of users are met.
Further advantages of the invention will be apparent in the detailed description section in conjunction with the drawings attached hereto.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a block diagram of the overall module architecture of a big data based intelligent building management system according to an embodiment of the present invention
FIG. 2 is a schematic diagram of the connections of each control subsystem in the system of FIG. 1 to control a building
FIG. 3 is a schematic diagram of data transmission control in the system of FIG. 1
FIG. 4 is a schematic diagram of the connections between different equipment units in the system of FIG. 1
FIG. 5 is a flow chart illustrating intersection calculations performed by the edge calculation unit in the system of FIG. 1
Detailed Description
Referring to fig. 1, an overall module architecture diagram of a big data based intelligent building management system according to an embodiment of the present invention is shown.
In fig. 1, the intelligent building management system includes a cloud big database and a plurality of control subsystems, and each control subsystem is used for managing and controlling a preset target building.
The control subsystems are remotely connected with the cloud big database, and when the state parameters of the target building meet second preset conditions, the state parameters are sent to the cloud big database;
and the cloud big database generates a second feedback result after analyzing and calculating based on the state parameters, and broadcasts the second feedback result to the plurality of control subsystems through a broadcasting component.
Preferably, the plurality of control subsystems are used as nodes of the intelligent building management system to form a closed-loop local block chain, and each control subsystem sends a feedback result obtained from the cloud big database after sending the state parameter and broadcasts the feedback result to all the nodes in the block chain based on the broadcasting component, so that big data sharing and consistency updating are achieved.
On the basis of fig. 1, see fig. 2.
The target building comprises an intelligent elevator, an intelligent water pump and intelligent electric equipment;
the intelligent electric equipment comprises a plurality of controllable electric periods, the intelligent water pump comprises a plurality of opening periods and a plurality of output powers corresponding to the opening periods, the intelligent elevator comprises a first fixed manned elevator and a second adjustable state elevator, the second adjustable state elevator comprises adjustable dispatching strategy parameters, and the adjustable dispatching strategy parameters comprise time periods when the second adjustable state elevator stops at each floor of the target building.
As an example, the intelligent electric device may be a controlled intelligent electric device, such as an intelligent household device or a common household device configured with an intelligent control circuit;
for the intelligent home equipment, a programmable logic intelligent control circuit is usually configured, and programmable control of the home equipment can be realized through interactive software, such as time-interval timing on and off;
for common household equipment, an intelligent socket can be externally arranged, the intelligent socket is plugged into a general power supply, and then the common household equipment is connected into the general power supply through the intelligent socket. The opening and closing time periods of the intelligent switch socket can be set through interactive software, so that the common household equipment can be opened and closed at regular time intervals.
The intelligent water pump can also be realized based on the same principle.
In fig. 2, the target building (assumed to be the first building) is connected to an intermediate buffer queue through a plurality of edge computing units, the intermediate buffer queue is used for storing status parameters of the target building, which are sent by the edge computing units under a first predetermined condition, and the status parameters include the controllable power utilization period, an on period, a plurality of output powers corresponding to the plurality of on periods, and the adjustable scheduling policy parameter;
and the control subsystem is connected with the intermediate buffer queue, acquires the state parameter from the intermediate buffer queue and sends a first feedback result to the edge computing unit based on the state parameter.
Fig. 3-4 show schematic diagrams of data stream transmission and module connection in the system, respectively.
Based on fig. 3 and 4, the edge calculation unit obtains a plurality of controllable electricity utilization periods T of all the intelligent electricity utilization devices of the target building1,T2,…TN(ii) a Wherein each of the controllable power consumption periods Tk(k-1, 2,3, …, N) from the time start tsAnd the end of time teForm, i.e. Tk＝[ts,te]；
For the plurality of controllable electricity utilization periods T1,T2,…TNAnd performing intersection calculation, and determining a plurality of opening time periods of the intelligent water pump and a plurality of output powers corresponding to the plurality of opening time periods based on the result of the intersection calculation.
On the basis of the above, it is assumed that the result of the intersection calculation includes a plurality of time periods ST1,ST2,…STMWherein M is<N；
The plurality of time periods ST are set1,ST2,…STMDetermining the starting time period of the intelligent water pump and according to the plurality of time periods ST1,ST2,…STMThe number of times of repetition or the number of times of the period with the intersection, and the output power of the intelligent water pump in the plurality of opening periods is determined.
In the plurality of time periods ST1,ST2,…STMAnd other time periods make the adjustable dispatching strategy parameters for the second adjustable state elevator.
On the basis of the basic data, the edge calculating unit sends the state parameters of the target building under a first preset condition, and specifically comprises the following steps:
and when the number of the time periods contained in the intersection calculation result is greater than a preset number, the edge calculation unit sends the state parameters of the target building to the intermediate cache queue.
The sending, by the control subsystem, a first feedback result to the edge calculation unit based on the state parameter specifically includes:
the control subsystem re-determines the on-period of the smart water pump and the output power in the plurality of on-periods based on the second feedback result broadcasted by the broadcasting component.
Further, when the state parameter meets a second predetermined condition, the control subsystem sends the state parameter to the cloud big database, and the method specifically includes:
and if the intersection calculation of the edge calculation unit has data blockage, the state parameter is sent to the intermediate cache queue when the edge calculation unit detects the data blockage, and the control subsystem acquires the state parameter from the intermediate cache queue and sends the state parameter to the cloud big database.
In the above embodiments, the edge computing refers to providing a nearest service nearby by using an open platform with integrated network, computing, storage, and application core capabilities on a side close to an object or a data source. The application program is initiated at the edge side, so that a faster network service response is generated, and the basic requirements of the industry in the aspects of real-time business, application intelligence, safety, privacy protection and the like are met.
In this embodiment, more specifically, the edge calculation is a local calculation on a side close to the data generation source segment, and does not need to communicate with the outside all the time, but performs data analysis and data prediction locally independently, such as matrix analysis, based on a prediction engine model with certain data analysis and processing capability locally.
Fig. 5 shows specific calculation steps of the intersection calculation in the above embodiment, which mainly include steps S1-S3, and each step is implemented as follows:
s1, making k equal to 1; the initial intersection calculation result is set ST ═ T1,T2,…TN}；
S2: judgment of TkAnd Tk+1Whether an intersection exists, if so, let stk＝Tk+1∩TkAnd will stkAdding to said set ST and simultaneously deleting the elements T present in the set STkAnd Tk+1Entering the next step; if not, directly entering the next step;
s3: making k equal to k +2, judging whether k is larger than N, and if so, exiting; otherwise, return to step S2.
Further, the target building comprises at least two intelligent elevators.
The intelligent elevator comprises a first fixed manned elevator and a second adjustable state elevator, the second adjustable state elevator comprises adjustable dispatching strategy parameters, and the adjustable dispatching strategy parameters comprise time periods of the second adjustable state elevator stopping at each floor of the target building.
More specifically, the second adjustable state elevator is in communication with the first fixed manned elevator, and the adjustable dispatch strategy parameters are adjusted based on the operational parameters obtained from the first fixed manned elevator;
the second adjustable state elevator includes an intelligent garbage collection system.
More specifically, the second adjustable state elevator comprises a plurality of intelligent garbage collection boxes, and the intelligent garbage collection boxes are used for collecting different types of domestic garbage.
Preferably, the intelligent garbage collection box comprises a garbage type identification sensor.
More specifically, the garbage type recognition sensor realizes garbage type recognition and classification based on a machine learning model.
The second adjustable state elevator comprises a wireless communication module;
the first fixed people lift comprises a plurality of digital floor selection buttons and at least one garbage collection and transportation confirmation button. In the initial state, the garbage collection and transportation ok button is in a non-highlighted state and does not give a prompt signal.
The second adjustable state elevator receives a second interactive instruction from a mobile terminal of a user through the wireless communication module, and the second adjustable state elevator adjusts the running state of the second adjustable state elevator based on the second interactive instruction.
In various embodiments of the present invention, the first interactive instructions are generated based on a user's interaction record with the first fixed people lift;
the second interactive instruction is generated based on the interactive record of the second adjustable state elevator with the registered mobile terminal of the user on the different floor.
The operating state comprises the time period during which the second adjustable state elevator stops at a different floor.
That is, the invention can also generate the dispatch plan of the second adjustable state elevator only according to the first interactive instruction generated by the user's interaction record with the first fixed manned elevator, thereby adjusting the stopping time period of the second adjustable state elevator at different floors.
More specifically, the first interactive instruction is generated based on a button operation performed when a user enters the first fixed manned elevator;
when a user presses one of the plurality of digital floor selection buttons of the first fixed manned elevator, the garbage collection and transportation confirmation button becomes a highlighted state and sends a prompt signal;
if the user touches the garbage collection and transportation confirming button within a first preset time period, the first fixed manned elevator records the floor position when the user enters the first fixed manned elevator or the digital floor selecting button pressed by the user, and the garbage collection and transportation confirming button is restored to the initial state.
And if the user does not touch the garbage collection and transportation confirming button within the first preset time period, restoring the garbage collection and transportation confirming button to an initial state.
The first interactive instruction comprises a floor position when a user enters the first fixed manned elevator or a digital floor selection button pressed by the user;
after the first interactive instruction is generated, the first fixed manned elevator sends a feedback confirmation signal to the floor position or the registered user corresponding to the digital floor selection button so as to generate the second interactive instruction.
The invention has the beneficial effects that:
(1) the intelligent building management system adopts the combination of an edge computing technology and a big data technology to carry out intelligent management on the building comprising the intelligent equipment, thereby realizing intelligent building control and block chain sharing of different building control strategies;
(2) the realization mode of the local edge calculation ensures that the calculation delay can not be caused even under the pressure of large-flow multi-target user data;
(3) if the data calculation exceeds the local calculation capacity and data blockage occurs, starting cloud auxiliary calculation;
(4) can also realize rubbish intelligence and receive fortune based on wisdom building, when satisfying user's in-service use demand, the intensive management of realization resource and utilization of at utmost.
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 (10)
1. The intelligent building management system comprises a cloud large database and a plurality of control subsystems, wherein each control subsystem is used for managing and controlling a preset target building;
the method is characterized in that:
the target building comprises an intelligent elevator, an intelligent water pump and intelligent electric equipment;
the intelligent electric equipment comprises a plurality of controllable electric periods, the intelligent water pump comprises a plurality of opening periods and a plurality of output powers corresponding to the plurality of opening periods, the intelligent elevator comprises a first fixed manned elevator and a second adjustable state elevator, the second adjustable state elevator comprises adjustable dispatching strategy parameters, and the adjustable dispatching strategy parameters comprise time periods when the second adjustable state elevator stops at each floor of the target building;
the target building is connected to an intermediate cache queue through a plurality of edge computing units, the intermediate cache queue is used for storing state parameters of the target building, which are sent by the edge computing units under a first preset condition, wherein the state parameters comprise the controllable power utilization time interval, an opening time interval, a plurality of output powers corresponding to the opening time intervals and the adjustable scheduling strategy parameters;
the control subsystem is connected with the intermediate cache queue, acquires the state parameter from the intermediate cache queue, and sends a first feedback result to the edge computing unit based on the state parameter;
the control subsystems are remotely connected with the cloud big database, and when the state parameters meet second preset conditions, the state parameters are sent to the cloud big database;
and the cloud big database generates a second feedback result after analyzing and calculating based on the state parameters, and broadcasts the second feedback result to the plurality of control subsystems through a broadcasting component.
2. The intelligent building management system based on big data as claimed in claim 1, wherein:
the edge calculation unit acquires a plurality of controllable electricity utilization periods T of all the intelligent electricity utilization devices of the target building1,T2,…TN(ii) a Wherein each of the controllable power consumption periods Tk(k-1, 2,3, …, N) from the time start tsAnd the end of time teForm, i.e. Tk＝[ts,te]；
For the plurality of controllable electricity utilization periods T1,T2,…TNPerforming intersection calculation, and determining the intelligent water based on the result of the intersection calculationA plurality of on periods of the pump and a plurality of output powers corresponding to the plurality of on periods.
3. The intelligent building management system based on big data as claimed in claim 2, wherein:
the pair of the plurality of controllable electricity utilization periods T1,T2,…TNPerforming intersection calculation, specifically comprising the following steps:
s1, making k equal to 1; the initial intersection calculation result is set ST ═ T1,T2,…TN}；
S2: judgment of TkAnd Tk+1Whether an intersection exists, if so, let stk＝Tk+1∩TkAnd will stkAdding to said set ST and simultaneously deleting the elements T present in the set STkAnd Tk+1Entering the next step;
if not, directly entering the next step;
s3: making k equal to k +2, judging whether k is larger than N, and if so, exiting; otherwise, return to step S2.
4. The intelligent building management system based on big data as claimed in claim 2, wherein:
the result of the intersection calculation comprises a plurality of time periods ST1,ST2,…STMWherein M is<N；
The plurality of time periods ST1,ST2,…STMAnd determining the starting time period of the intelligent water pump.
5. The intelligent building management system based on big data as claimed in claim 2, wherein:
the result of the intersection calculation comprises a plurality of time periods ST1,ST2,…STMWherein M is<N；
The plurality of time periods ST1,ST2,…STMDetermining the start time interval of the intelligent water pump and according to the plurality of start time intervalsTime period ST1,ST2,…STMThe number of times of repetition or the number of times of the period with the intersection, and the output power of the intelligent water pump in the plurality of opening periods is determined.
6. The intelligent building management system based on big data as claimed in claim 2, wherein:
the result of the intersection calculation comprises a plurality of time periods ST1,ST2,…STMWherein M is<N；
In the plurality of time periods ST1,ST2,…STMAnd other time periods make the adjustable dispatching strategy parameters for the second adjustable state elevator.
7. The intelligent building management system based on big data as claimed in any one of claims 2-6, wherein:
the edge calculation unit sends the state parameters of the target building under a first preset condition, and specifically comprises:
and when the number of the time periods contained in the intersection calculation result is greater than a preset number, the edge calculation unit sends the state parameters of the target building to the intermediate cache queue.
8. The intelligent building management system based on big data as claimed in any one of claims 2-6, wherein:
the sending, by the control subsystem, a first feedback result to the edge calculation unit based on the state parameter specifically includes:
the control subsystem re-determines the on-period of the smart water pump and the output power in the plurality of on-periods based on the second feedback result broadcasted by the broadcasting component.
9. The intelligent building management system based on big data as claimed in any one of claims 2-6, wherein:
when the state parameter meets a second preset condition, the control subsystem sends the state parameter to the cloud big database, and the method specifically comprises the following steps:
and if the intersection calculation of the edge calculation unit has data blockage, the state parameter is sent to the intermediate cache queue when the edge calculation unit detects the data blockage, and the control subsystem acquires the state parameter from the intermediate cache queue and sends the state parameter to the cloud big database.
10. The intelligent building management system based on big data as claimed in claims 1-9, wherein:
the second adjustable state elevator is in communication with the first fixed manned elevator, adjusting the adjustable dispatch strategy parameters based on operating parameters of the first fixed manned elevator;
the second adjustable state elevator includes an intelligent garbage collection system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011586621.4A CN112711200B (en) | 2020-12-28 | 2020-12-28 | Intelligent building management system based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011586621.4A CN112711200B (en) | 2020-12-28 | 2020-12-28 | Intelligent building management system based on big data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112711200A true CN112711200A (en) | 2021-04-27 |
| CN112711200B CN112711200B (en) | 2021-10-29 |
Family
ID=75546090
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011586621.4A Active CN112711200B (en) | 2020-12-28 | 2020-12-28 | Intelligent building management system based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112711200B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113271701A (en) * | 2021-06-02 | 2021-08-17 | 连云港瑞普森照明科技有限公司 | Automatic illumination system and method for LED module |
| CN114254038A (en) * | 2021-12-03 | 2022-03-29 | 中安链科技(重庆)有限公司 | Campus security data synchronization system based on block chain network |
| CN115309087A (en) * | 2022-09-05 | 2022-11-08 | 乐创达投资(广东)有限公司 | Wisdom building data acquisition system based on thing networking |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104071656A (en) * | 2014-06-25 | 2014-10-01 | 日立电梯（中国）有限公司 | Elevator and running control method thereof |
| CN105224703A (en) * | 2014-06-24 | 2016-01-06 | 常州新区常工电子计算机有限公司 | Consumer management method and system |
| CN106655517A (en) * | 2017-01-22 | 2017-05-10 | 国网山东省电力公司无棣县供电公司 | Intelligent power control system and power control method thereof |
| CN106946126A (en) * | 2017-04-12 | 2017-07-14 | 浙江师范大学 | A kind of carrying rubbish elevator |
| CN107324189A (en) * | 2017-08-25 | 2017-11-07 | 苏州台菱奥创电梯有限公司 | It is a kind of to install elevator additional with garbage disposal function |
| CN109026649A (en) * | 2018-08-28 | 2018-12-18 | 上海弦慧新能源科技有限公司 | Data acquisition device and operation management method |
| CN110619398A (en) * | 2019-09-10 | 2019-12-27 | 广州合创未来科技有限公司 | Sharing cloud intelligent garbage can operation management system capable of walking independently |
| CN110855743A (en) * | 2019-09-30 | 2020-02-28 | 上海大学 | Intelligent building remote operation and maintenance system based on data cloud platform |
| CN111061227A (en) * | 2018-10-16 | 2020-04-24 | 青岛海尔洗衣机有限公司 | Control method and control system of household appliance |
| CN111080490A (en) * | 2018-10-20 | 2020-04-28 | 杭州钟锤科技有限责任公司 | GIS-based intelligent building operation management platform |
| US10771569B1 (en) * | 2019-12-13 | 2020-09-08 | Industrial Technology Research Institute | Network communication control method of multiple edge clouds and edge computing system |
| CN111736509A (en) * | 2020-07-11 | 2020-10-02 | 埃安美(苏州)物联技术有限公司 | Wisdom building control system based on thing networking |
-
2020
- 2020-12-28 CN CN202011586621.4A patent/CN112711200B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105224703A (en) * | 2014-06-24 | 2016-01-06 | 常州新区常工电子计算机有限公司 | Consumer management method and system |
| CN104071656A (en) * | 2014-06-25 | 2014-10-01 | 日立电梯（中国）有限公司 | Elevator and running control method thereof |
| CN106655517A (en) * | 2017-01-22 | 2017-05-10 | 国网山东省电力公司无棣县供电公司 | Intelligent power control system and power control method thereof |
| CN106946126A (en) * | 2017-04-12 | 2017-07-14 | 浙江师范大学 | A kind of carrying rubbish elevator |
| CN107324189A (en) * | 2017-08-25 | 2017-11-07 | 苏州台菱奥创电梯有限公司 | It is a kind of to install elevator additional with garbage disposal function |
| CN109026649A (en) * | 2018-08-28 | 2018-12-18 | 上海弦慧新能源科技有限公司 | Data acquisition device and operation management method |
| CN111061227A (en) * | 2018-10-16 | 2020-04-24 | 青岛海尔洗衣机有限公司 | Control method and control system of household appliance |
| CN111080490A (en) * | 2018-10-20 | 2020-04-28 | 杭州钟锤科技有限责任公司 | GIS-based intelligent building operation management platform |
| CN110619398A (en) * | 2019-09-10 | 2019-12-27 | 广州合创未来科技有限公司 | Sharing cloud intelligent garbage can operation management system capable of walking independently |
| CN110855743A (en) * | 2019-09-30 | 2020-02-28 | 上海大学 | Intelligent building remote operation and maintenance system based on data cloud platform |
| US10771569B1 (en) * | 2019-12-13 | 2020-09-08 | Industrial Technology Research Institute | Network communication control method of multiple edge clouds and edge computing system |
| CN111736509A (en) * | 2020-07-11 | 2020-10-02 | 埃安美(苏州)物联技术有限公司 | Wisdom building control system based on thing networking |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113271701A (en) * | 2021-06-02 | 2021-08-17 | 连云港瑞普森照明科技有限公司 | Automatic illumination system and method for LED module |
| CN114254038A (en) * | 2021-12-03 | 2022-03-29 | 中安链科技(重庆)有限公司 | Campus security data synchronization system based on block chain network |
| CN114254038B (en) * | 2021-12-03 | 2024-05-14 | 中安链科技(重庆)有限公司 | Campus security data synchronization system based on blockchain network |
| CN115309087A (en) * | 2022-09-05 | 2022-11-08 | 乐创达投资(广东)有限公司 | Wisdom building data acquisition system based on thing networking |
| CN115309087B (en) * | 2022-09-05 | 2023-06-09 | 乐创达投资(广东)有限公司 | Intelligent building data acquisition system based on Internet of things |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112711200B (en) | 2021-10-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112711200B (en) | Intelligent building management system based on big data | |
| Liu et al. | Intelligent edge computing for IoT-based energy management in smart cities | |
| CN111131480A (en) | Cloud edge cooperative service system for smart power plant | |
| CN102280935B (en) | Intelligent power grid management system | |
| CN113435657B (en) | Data integration processing method, system, energy management system, electronic device and computer readable storage medium | |
| CN106315316A (en) | Elevator system and control method for same | |
| CN110779573A (en) | Wisdom district thing networking data acquisition box | |
| WO2022127234A1 (en) | Cloud platform-based network comprehensive monitoring method and system | |
| CN103985271A (en) | Intelligent parking guiding system based on cloud internet of things | |
| CN201984330U (en) | Intelligent building control device based on Internet of things | |
| CN106656693B (en) | Equipment control method, device and system | |
| CN111028110A (en) | Multi-object-oriented intelligent community integrated management system | |
| CN107196416A (en) | Local power net multisystem fusion big data shares dynamic compatibilization and puies forward efficacious prescriptions method | |
| CN103560590A (en) | Power grid intelligent dispatching framework and achieving method thereof | |
| CN108492218A (en) | A kind of integrative intelligent system of digitization community | |
| CN113266555B (en) | Cloud edge end cooperative intelligent water supply control scheduling method | |
| CN111291950A (en) | Economic park distribution network active service and operation management and control unified platform | |
| CN112882395A (en) | Intelligent building integrated operation and maintenance management system based on 5G network | |
| CN116050669B (en) | Intelligent scheduling method and system for urban rail transit emergency | |
| CN116684472A (en) | Service deployment system and service deployment method for terminal-side computing network | |
| CN116192906A (en) | Industrial park comprehensive energy digital monitoring method based on cloud edge end cooperation | |
| Lee et al. | A mechanism of ontology-based rule management for smart building energy saving service | |
| Chun | A study on analysis and applicability of current smart city | |
| CN210377464U (en) | Intelligent building integrated management system | |
| Krishna et al. | Interoperability in IoT-driven smart buildings: employing Rule-based decision support systems |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20211011 Address after: 510000 room 201-208, No. 688, Yuejiang Middle Road, Haizhu District, Guangzhou City, Guangdong Province Applicant after: Poly Property Services Co.,Ltd. Address before: 516083 room 1906, unit 1, building 41, longguangcheng South District, No. 88, southwest Avenue, Daya Bay West District, Huizhou City, Guangdong Province Applicant before: Huizhou xunyun Digital Information Technology Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |