CN115580793B - Intelligent building operation method and system based on micro-service architecture - Google Patents

Intelligent building operation method and system based on micro-service architecture Download PDF

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CN115580793B
CN115580793B CN202211478635.3A CN202211478635A CN115580793B CN 115580793 B CN115580793 B CN 115580793B CN 202211478635 A CN202211478635 A CN 202211478635A CN 115580793 B CN115580793 B CN 115580793B
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刘春凤
平晓林
李佳佳
何国苗
孟祚
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Beijing Beitou Smart City Technology Co ltd
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Abstract

The invention discloses an intelligent building operation method and system based on a micro-service architecture, which relate to the technical field of data processing, and comprise the following steps: acquiring basic building information of a target building, wherein N micro-control areas are preset in the target building; collecting and analyzing user demand information of a target user, and generating a region control mode; acquiring an image of a target area, and generating behavior data based on an image acquisition result; collecting environmental information of a target area to generate environmental data; constructing an intelligent area control model based on basic building information, inputting the area control model, behavior data and environmental data into the intelligent area control model, and generating area control data; and carrying out regional intelligent control on a target region in the target building. The invention solves the technical problems of low flexibility and low control efficiency of intelligent building control in the prior art, achieves the technical effects of improving the intelligent degree of building control, flexibly controlling each area based on a micro-service architecture and improving the control quality.

Description

Intelligent building operation method and system based on micro-service architecture
Technical Field
The invention relates to the technical field of data processing, in particular to an intelligent building operation method and system based on a micro-service architecture.
Background
China has the largest building market in the world, and with rapid economic development and continuous improvement of science and technology, the completion amount of China is gradually improved. However, the building control of China has many problems, and the problem of building control is urgently needed.
At present, the building control operation of China mainly stays at the stages of heavy hardware, light software and light operation maintenance, and the building is managed and controlled safely by constructing a plurality of devices, so that the whole building is managed. However, with the continuous improvement of the industry chain, in the same building, different industries have different requirements for management, and a unified management mode is still adopted, so that the management quality is reduced, the differentiated and personalized requirements of customers cannot be met, and better service quality cannot be provided. Meanwhile, the management mode is too single due to the overall modularized management, and the management system cannot adapt to diversified requirements. The intelligent building control system in the prior art has the technical problems of low control flexibility and low control efficiency.
Disclosure of Invention
The application provides an intelligent building operation method and system based on a micro-service architecture, which are used for solving the technical problems of low control flexibility and low control efficiency of an intelligent building in the prior art.
In view of the above problems, the present application provides an intelligent building operation method and system based on a micro service architecture.
In a first aspect of the present application, an intelligent building operation method based on a micro-service architecture is provided, where the method is applied to an intelligent control system, the intelligent control system is in communication connection with an image acquisition device and an intelligent sensing device, and the method includes:
obtaining basic building information of a target building, wherein N micro-control areas are preset in the target building;
acquiring user demand information of a target user, analyzing the information according to the user demand information, and generating a regional control mode;
acquiring images of a target area through the image acquisition device, and generating behavior data based on an image acquisition result;
collecting environmental information of the target area through the intelligent sensing device, and generating environmental data according to an environmental information collection result;
constructing an intelligent area control model based on the basic building information, inputting the area control model, the behavior data and the environment data into the intelligent area control model, and generating area control data;
and carrying out regional intelligent control on the target region in the target building through the regional control data.
In a second aspect of the present application, there is provided a micro-service architecture based intelligent building operating system, the system comprising:
the system comprises a basic information acquisition module, a data acquisition module and a data processing module, wherein the basic information acquisition module is used for acquiring basic building information of a target building, and N micro-control areas are preset in the target building;
the control mode generating module is used for acquiring and acquiring user demand information of a target user, analyzing the information according to the user demand information and generating a regional control mode;
the behavior data generation module is used for acquiring images of the target area through the image acquisition device and generating behavior data based on the image acquisition result;
the environment data generation module is used for acquiring the environment information of the target area through the intelligent sensing device and generating environment data according to an environment information acquisition result;
the control data generation module is used for constructing an intelligent area control model based on the basic building information, inputting the area control model, the behavior data and the environment data into the intelligent area control model and generating area control data;
and the regional intelligent control module is used for performing regional intelligent control on the target region in the target building through the regional control data.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the method, basic building information of a target building is collected, N micro control areas are preset in the target building, user demand information of a target user is collected, information analysis is carried out on the demand information, an area control model is generated, images of the target area are collected through an image collecting device, behavior data are obtained according to a collecting result, environmental information of the target area is collected through an intelligent sensing device, environmental data are obtained, an intelligent area control model is constructed according to the basic building information, the area control model, the behavior data and the environmental data are input into the intelligent area control model, area control data are generated, and then area intelligent control of the target area in the target building is carried out according to the area control data. The technical effects that the building area is controlled in a sub-area mode, the areas are independently controlled by establishing a plurality of micro-control areas, and the flexibility of control is improved are achieved.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced 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 based on these drawings without creative efforts.
Fig. 1 is a schematic flowchart of an intelligent building operation method based on a micro service architecture according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart illustrating behavior data obtained in an intelligent building operation method based on a micro service architecture according to an embodiment of the present application;
fig. 3 is a schematic flowchart illustrating intelligent control of a channel control space in an intelligent building operation method based on a micro service architecture according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an intelligent building operating system based on a micro service architecture according to an embodiment of the present application.
Description of the reference numerals: the system comprises a basic information obtaining module 11, a control mode generating module 12, a behavior data generating module 13, an environment data generating module 14, a control data generating module 15 and a regional intelligent control module 16.
Detailed Description
The application provides an intelligent building operation method based on a micro-service framework, and aims to solve the technical problems of low control flexibility and low control efficiency of an intelligent building in the prior art.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It is to be understood that the embodiments described are only a few embodiments of the present application and not all 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 application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be implemented in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus.
Example one
As shown in fig. 1, the present application provides an intelligent building operation method based on a microservice architecture, wherein the method is applied to an intelligent control system, the intelligent control system is in communication connection with an image acquisition device and an intelligent sensing device, and the method includes:
step S100: obtaining basic building information of a target building, wherein N micro-control areas are preset in the target building;
specifically, the micro-service architecture is an architecture in which a plurality of micro-services connected with each other are established, each micro-service completes a single function, and the plurality of micro-services are independent from each other and decoupled, so that multi-region micro-control of an intelligent building is realized, and the cooperative work efficiency is improved. The image acquisition device is used for acquiring images of the construction condition of a target building and comprises a video camera, an infrared camera, a camera and the like. The intelligent sensing device is used for intelligently acquiring the surrounding environment of a target building and comprises a temperature sensor, a humidity sensor and the like. The target building is any building to be subjected to intelligent building operation control. The basic building information is information describing the basic construction condition of the target building, and comprises the geographical position of the building, the scale of the building, the application of the building and the like. Wherein, the target building has preset N little control area. The N micro-control areas are N mutually independent control areas which are established according to different building areas of the target building. Therefore, the technical effects that the target building is subjected to regional micro control, independent control is carried out according to the N micro control regions, and the control efficiency is improved are achieved.
Step S200: acquiring user demand information of a target user, analyzing the information according to the user demand information, and generating a region control mode;
in particular, the target user is a user performing a production operation within the target building. The user requirement information is the building control requirements of each target user in the target building area for the area, and comprises safety management, card reading and writing management, cleaning management and the like. And then, information mining and analysis are carried out on the user requirements, the requirements of the target user for each area are accurately obtained through analysis, and then a control mode for managing the building area is obtained according to the requirements. The area control mode is a control mode for building management of different areas according to different requirements, and comprises a user management micro-service mode, an attendance card punching micro-service mode, an access security micro-service management mode and the like. By analyzing the user requirements, the regional control modes of a plurality of different regions are obtained, the different regions of the target building are managed, the management function of establishing micro-services is achieved, the customer requirements are accurately met, and the technical effects of improving the accuracy and flexibility of management are achieved.
Step S300: acquiring images of a target area through the image acquisition device, and generating behavior data based on an image acquisition result;
further, as shown in fig. 2, step S300 in the embodiment of the present application further includes:
step S310: performing user feature recognition on the image acquisition result, and acquiring user identity information based on the user feature recognition result;
step S320: identifying the position information of the user based on the image acquisition result to obtain position distribution information;
step S330: obtaining position staying characteristic information of each user in the target area;
step S340: and analyzing the user behavior according to the user identity information, the position distribution information and the position staying characteristic information to obtain the behavior data.
Specifically, the target area is any one of the N micro control areas. And carrying out multi-angle and omnibearing image acquisition on the target area through the image acquisition device, and then carrying out behavior identification on a user on an image acquisition result to obtain the behavior data. The behavior data reflects the behavior rule of the user in the target area, and provides control reference data for the subsequent intelligent control of the target area. And extracting character features of the image acquisition result to obtain a feature extraction result. Preferably, the staff in the target area is subjected to face information acquisition, a staff information database is established, the feature extraction result is matched and compared with the staff information database, and user feature recognition is carried out to obtain the user identity information. The user identity information reflects the identity condition of people entering the target area, and further, the characteristics of successful matching and comparison with the employee information database can obtain corresponding employee identity information from the employee information database, wherein the corresponding employee identity information comprises information such as names, positions, work content, work time and the like. When the matching comparison is unsuccessful, the person entering the target area is not resident, and the behavior track of the person cannot be used as a reference for daily management of the target area.
Specifically, the position information of the same user is identified according to the image acquisition result, and the position movement change condition of the user is obtained from the plurality of images, so that the position distribution condition of the user passing through the target area, namely the position distribution information, is obtained. The position stay characteristic information refers to information describing the stay condition of each user in the target area on each position distribution point, and includes information such as stay time length and stay frequency. And then, analyzing the user behavior according to the user identity information, the position distribution information and the position staying characteristic information, and comprehensively analyzing three dimensions of comprehensive identity, position distribution and staying characteristic to obtain the behavior data. The behavior data refers to behavior characteristic conditions of the user in the target area. For example, in an office building, 10 employees go to work every day, 1 employee is responsible for receiving guests at the doorway foreground, 2 are early consultants, 3 are contract negotiators, 2 are later maintenance personnel, and 2 are financial personnel. The information consulting company is divided into 4 areas, foreground, hall, reception room and finance room. And acquiring images through the interior of the information consulting company, and further acquiring the moving condition of each employee in the consulting company and the residence time of each position according to the identification of the employee in the image acquisition result. If the moving positions of the front desk employees are distributed into a front desk and a reception room, the time of staying on the front desk is 6 hours and the time of staying in the reception room is 1 hour in 8 hours on duty.
Step S400: collecting environmental information of the target area through the intelligent sensing device, and generating environmental data according to an environmental information collection result;
specifically, the environment condition of the target area is collected through the intelligent sensing device, for example, the temperature of the target area is collected through a temperature sensor in real time, and the humidity of the target area is collected through a humidity sensor in real time, so that the environment data of the target area is obtained. Wherein the environmental data reflects environmental information of the target area, including temperature change data, humidity change data, and the like. By collecting the environmental information in the target area, the technical effect of providing environmental data for the follow-up intelligent control of the target area is achieved.
Step S500: constructing an intelligent area control model based on the basic building information, inputting the area control model, the behavior data and the environment data into the intelligent area control model, and generating area control data;
specifically, the intelligent area control model is a functional model for performing intelligent output of individual control data on each micro control area in the target area. And forming a historical data set by acquiring the historical control mode, the historical behavior data, the historical environment data and the historical region control data of the target region. Furthermore, the historical data set is divided into a training data set and a testing data set according to a certain proportion, wherein the proportion is 2. The application the training data set is right the intelligent regional control model trains to the convergence, and then, through the application the test data set is right the intelligent regional control model carries out the degree of accuracy test, when the degree of accuracy of model can meet the requirements, obtains the intelligent regional control model that the training was accomplished. The area control data is unique control data of each area, which is obtained by calculation according to the characteristics of the area, and comprises light control data, temperature control data, humidity control data and the like. The technical effects of improving the independent control parameters calculated for each area and improving the control accuracy and flexibility are achieved.
Step S600: and carrying out regional intelligent control on the target region in the target building through the regional control data.
Further, as shown in fig. 3, step S600 in the embodiment of the present application further includes:
step S610: acquiring historical action data of the user in the target area;
step S620: performing action rule analysis based on time nodes through the historical action data to obtain a node action rule analysis result;
step S630: performing multi-space division on the target area, and obtaining a channel control space through a multi-space division result;
step S640: and performing intelligent control on the channel control space according to the node action rule analysis result.
Specifically, historical action data of the user in the target area is collected, wherein the historical action data refers to a moving track of the user in the target area in a historical time period and stay time of the user at each position, and reflects the activity rule of the user in the target area. And further deeply mining historical action data, and extracting data by taking time nodes as data to obtain the analysis result of the node action rule. The node action rule analysis result reflects the action rule of the user in the target area at a fixed time, and provides reference for subsequent intelligent building operation. And dividing the target area into a plurality of spaces according to the space structure of the target area, and further obtaining the channel control space according to the multi-space division result. Wherein the channel control space is a space that needs to be intelligently controlled. And then, intelligently controlling the channel control space according to the user motion rules of the nodes at different time in the node action rule analysis result. Exemplarily, divide proscenium and hall into A channel control space in establishing consulting company, because proscenium region and hall region link together, and then set up reception room and financial room respectively to a channel control interval, according to proscenium personnel, consultant, contract negotiation personnel and financial staff at the dwell time of different channel control intervals, reach proscenium region as 8 am of proscenium, open light, ventilation unit to A channel control space according to arrival time. Therefore, the technical effects of independently controlling different channel control spaces and improving the intelligent degree of control are achieved.
Further, step S600 in the embodiment of the present application further includes:
step S650: detecting the user existence of the channel control space and the associated space according to the image acquisition result;
step S660: when detecting that a user exists, generating a first control parameter of the channel control space based on the user exists;
step S670: setting a disappearance control interval, and generating a second control parameter of the channel control space based on the absence of the user when the channel control space and the associated space do not have the user in the disappearance control interval;
step S680: and intelligently controlling the channel control space through the first control parameter and the second control parameter.
Specifically, the association space refers to a space associated with the channel control space, and preferably, whether the associated space is an association space may be determined by whether the area is connected or not, or may be determined by whether the area is related or not in terms of business. And then, analyzing an image acquisition result, judging whether a user exists in the channel control space and the associated space, and obtaining a first control parameter of the channel control space according to the user when the user exists. The first control parameters refer to parameters for controlling equipment and environment in the channel control space, and include light starting time, ventilation device starting time and the like. Preferably, when there is a user in the associated space, the user in the associated space may enter the channel control space because the area is connected to the channel control space or because the service is associated with the channel control space. The disappearance control interval is a time interval in which the channel control space is not controlled. For example, the lights of the corridor at the doorway of the company are kept in a normally-on state during morning work, and when the corridor lights are not controlled during the time period from morning work to midday meal because employees work in the office, the disappearance control interval is the time period from morning work to midday meal. And when the channel control space and the associated space do not have users in the disappearance control interval, obtaining the second control parameter of the channel control space according to the users which do not exist. The second control parameter is a parameter for controlling the channel control space when no user exists in the channel control space and the associated space in the disappearance control interval. And then, the channel control space is intelligently controlled by combining the first control parameter and the second control parameter, so that two angles of the existing user and the non-existing user are intelligently controlled.
Further, step S680 in this embodiment of the present application further includes:
step S681: obtaining a node control window corresponding to the node action rule analysis result, and generating continuous control parameters based on the node control window;
step S682: judging whether the disappearance control interval is in the node control window or not;
step S683: and when the disappearance control interval is within the node control window, intelligently controlling the channel control space according to the continuous control parameters.
Specifically, the node control window is obtained according to a time period corresponding to a regular behavior in the node action rule analysis result. The node control window refers to a time period for continuously controlling a channel control space. The continuous control parameters are control parameters for continuously controlling the channel control space, and comprise a continuous opening time period of an air conditioner, a constant light time period of light and the like. And then, whether the disappearance control interval is in the node control window or not is judged, so that a time period for not controlling the channel control space is obtained, whether the time period is in a time period needing continuous control determined according to the behavior rule of the user or not is judged, and when the time period is in the node control window, the channel control space is intelligently controlled according to the continuous control parameters, so that the technical effects of accurately controlling the channel control space according to the user rule and ensuring the high-quality experience of the building are achieved.
Further, step S680 in this embodiment of the present application further includes:
step S684: judging whether cross-region interaction behaviors exist or not according to the behavior data;
step S685: when cross-region interaction behavior is detected, sharing the image acquisition result to an interaction region;
step 686: and carrying out regional intelligent control on the interaction region based on the image acquisition result.
Further, step S680 in this embodiment of the present application further includes:
step S687: obtaining an interaction area control mode of the interaction area;
step S688: when the interactive area control mode is an externally open type interactive mode, carrying out equipment control on intelligent equipment in the interactive area according to the image acquisition result and generating interactive reminding information;
step S689: and when the interactive area control mode is an external closed interactive mode, generating closed interactive information, and feeding back the closed interactive information to the user in the image acquisition result.
Specifically, the cross-region interaction behavior refers to the behavior of whether a user has multiple region activities. Illustratively, when a consultation company has a client to consult at the front, a foreground person introduces the client into a reception room from the foreground, at the moment, the foreground person needs to pass through three areas, namely the foreground, a hall and the reception room, and has a cross-area interaction behavior, at the moment, an image acquisition result acquired in the behavior process of the foreground person is shared to an interaction area, and then the interaction area is intelligently controlled according to the user behavior shown in the image acquisition result.
Specifically, the interaction area control mode refers to a mode for performing interaction and coordination control on an interaction area. The outward opening interaction mode means that a control system in a channel control area can be connected with external intelligent equipment, so that the area is intelligently controlled. Preferably, the collected user is opened with an intelligent interaction authority according to the image collection result, so that the user performs device control on the intelligent device in the interaction area and obtains the interaction reminding information. The interaction reminding information refers to information for adjusting the intelligent equipment in the interaction area. And when the interactive area control mode is an externally closed interactive mode, obtaining the relationship interactive information. And the closing interactive information is used for reminding the interactive area to be in an external closing interactive mode. And simultaneously feeding back the closing interactive information to the user in the image acquisition result. The technical effects of carrying out regional multi-mode control and improving the control accuracy are achieved.
In summary, the embodiment of the present application has at least the following technical effects:
according to the embodiment of the application, basic building information of a target building is collected, N micro control areas are preset for the target building, so that follow-up micro control of all areas is laid, the user requirements of a target user are collected, the information is analyzed, a corresponding area control mode is set according to the user requirements, images of the target area are collected through an image collection device, behavior data of the user are obtained according to the collected results, the environment condition of the target area is collected through an intelligent sensing device, environment data are obtained, an intelligent area control model is constructed according to the basic building information, the data of area control are intelligently output, the area control model, the behavior data and the environment data are input into the intelligent area control model, area control data are intelligently output, and area intelligent control is carried out on all areas in the target building according to the area control data. The intelligent degree of regional control is improved, regional control is performed on the building based on the micro-service framework, and the technical effect of improving the control quality is achieved.
Example two
Based on the same inventive concept as the intelligent building operation method based on the micro-service architecture in the foregoing embodiment, as shown in fig. 4, the present application provides an intelligent building operation system based on the micro-service architecture, and the system and method embodiments in the embodiments of the present application are based on the same inventive concept. Wherein the system comprises:
the system comprises a basic information obtaining module 11, a basic information obtaining module 11 and a control module, wherein the basic information obtaining module 11 is used for obtaining basic building information of a target building, and N micro-control areas are preset in the target building;
the control mode generating module 12 is configured to acquire user requirement information of a target user, perform information analysis according to the user requirement information, and generate a regional control mode;
the behavior data generation module 13 is used for acquiring images of the target area through the image acquisition device and generating behavior data based on the image acquisition result;
the environmental data generating module 14 is configured to acquire environmental information of the target area through an intelligent sensing device, and generate environmental data according to an environmental information acquisition result;
a control data generation module 15, where the control data generation module 15 is configured to construct an intelligent area control model based on the basic building information, input the area control model, the behavior data, and the environment data into the intelligent area control model, and generate area control data;
a regional intelligent control module 16, wherein the regional intelligent control module 16 is configured to perform regional intelligent control on the target region in the target building according to the regional control data.
Further, the system further comprises:
the user identity information obtaining unit is used for carrying out user feature recognition on the image acquisition result and obtaining user identity information based on the user feature recognition result;
a position distribution information obtaining unit, configured to perform position information identification of a user based on the image acquisition result to obtain position distribution information;
a characteristic information obtaining unit, configured to obtain position stay characteristic information of each user in the target area;
and the user behavior analysis unit is used for carrying out user behavior analysis according to the user identity information, the position distribution information and the position staying characteristic information to obtain the behavior data.
Further, the system further comprises:
the historical action data acquisition unit is used for acquiring and obtaining historical action data of the user in the target area;
the action rule analysis unit is used for carrying out action rule analysis based on time nodes through the historical action data to obtain a node action rule analysis result;
a channel control space obtaining unit, configured to perform multi-space division on the target region, and obtain a channel control space through a multi-space division result;
and the space intelligent control unit is used for carrying out intelligent control on the channel control space according to the node action rule analysis result.
Further, the system further comprises:
the user presence detection unit is used for detecting the user presence of the channel control space and the associated space according to the image acquisition result;
a first control parameter generation unit configured to generate a first control parameter of the channel control space based on a presence user when the presence user is detected;
a second control parameter generation unit, configured to set a disappearance control interval, and generate a second control parameter of the channel control space based on an absence of a user when the channel control space and the associated space do not have a user in the disappearance control interval;
and the channel control unit is used for intelligently controlling the channel control space through the first control parameter and the second control parameter.
Further, the system further comprises:
a continuous control parameter generating unit, configured to obtain a node control window corresponding to the node action rule analysis result, and generate a continuous control parameter based on the node control window;
a control interval determination unit configured to determine whether the disappearing control interval is within the node control window;
and the control space intelligent control unit is used for carrying out intelligent control on the channel control space according to the continuous control parameters when the disappearance control interval is in the node control window.
Further, the system further comprises:
the interactive behavior judging unit is used for judging whether a cross-region interactive behavior exists or not according to the behavior data;
the acquisition result sharing unit is used for sharing the image acquisition result to an interaction region when the cross-region interaction behavior is detected;
and the interactive area intelligent control unit is used for carrying out area intelligent control on the interactive area based on the image acquisition result.
Further, the system further comprises:
the interactive control mode control unit is used for obtaining an interactive area control mode of the interactive area;
the interactive reminding information obtaining unit is used for carrying out equipment control on intelligent equipment in the interactive area according to the image acquisition result and generating interactive reminding information when the interactive area control mode is an external open type interactive mode;
and the interactive information feedback unit is used for generating closing interactive information when the interactive area control mode is an externally closed interactive mode, and feeding the closing interactive information back to the user in the image acquisition result.
It should be noted that the order of the above embodiments of the present application is only for description, and does not represent the merits of the embodiments. And specific embodiments thereof have been described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.
The specification and figures are merely exemplary of the application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and its equivalent technology, it is intended that the present application include such modifications and variations.

Claims (8)

1. An intelligent building operation method based on a micro-service architecture is applied to an intelligent control system, the intelligent control system is in communication connection with an image acquisition device and an intelligent sensing device, and the method comprises the following steps:
acquiring basic building information of a target building, wherein N micro-control areas are preset in the target building;
acquiring user demand information of a target user, analyzing the information according to the user demand information, and generating a regional control mode;
acquiring images of a target area through the image acquisition device, and generating behavior data based on an image acquisition result;
collecting environmental information of the target area through the intelligent sensing device, and generating environmental data according to an environmental information collection result;
constructing an intelligent area control model based on the basic building information, inputting the area control model, the behavior data and the environment data into the intelligent area control model, and generating area control data;
and carrying out regional intelligent control on the target region in the target building through the regional control data.
2. The method of claim 1, wherein the method further comprises:
performing user feature recognition on the image acquisition result, and acquiring user identity information based on the user feature recognition result;
identifying the position information of the user based on the image acquisition result to obtain position distribution information;
obtaining position staying characteristic information of each user in the target area;
and analyzing the user behavior according to the user identity information, the position distribution information and the position staying characteristic information to obtain the behavior data.
3. The method of claim 1, wherein the method further comprises:
acquiring historical action data of the user in the target area;
performing action rule analysis based on time nodes through the historical action data to obtain a node action rule analysis result;
performing multi-space division on the target area, and obtaining a channel control space through a multi-space division result;
and performing intelligent control on the channel control space according to the node action rule analysis result.
4. The method of claim 3, wherein the method further comprises:
detecting the user existence of the channel control space and the associated space according to the image acquisition result;
when detecting that a user exists, generating a first control parameter of the channel control space based on the user exists;
setting a disappearance control interval, and generating a second control parameter of the channel control space based on the absence of the user when the channel control space and the associated space do not have the user in the disappearance control interval;
and intelligently controlling the channel control space through the first control parameter and the second control parameter.
5. The method of claim 4, wherein the method further comprises:
obtaining a node control window corresponding to the node action rule analysis result, and generating continuous control parameters based on the node control window;
judging whether the disappearance control interval is in the node control window or not;
and when the disappearance control interval is within the node control window, intelligently controlling the channel control space according to the continuous control parameters.
6. The method of claim 1, wherein the method further comprises:
judging whether cross-region interaction behaviors exist or not according to the behavior data;
when cross-region interaction behavior is detected, sharing the image acquisition result to an interaction region;
and carrying out regional intelligent control on the interaction region based on the image acquisition result.
7. The method of claim 6, wherein the method further comprises:
obtaining an interaction area control mode of the interaction area;
when the interactive area control mode is an externally open type interactive mode, carrying out equipment control on intelligent equipment in the interactive area according to the image acquisition result and generating interactive reminding information;
and when the interactive area control mode is an external closed interactive mode, generating closed interactive information, and feeding back the closed interactive information to the user in the image acquisition result.
8. An intelligent building operating system based on a microservice architecture, the system comprising:
the system comprises a basic information acquisition module, a data acquisition module and a data processing module, wherein the basic information acquisition module is used for acquiring basic building information of a target building, and N micro-control areas are preset in the target building;
the control mode generating module is used for acquiring and acquiring user demand information of a target user, analyzing the information according to the user demand information and generating a regional control mode;
the behavior data generation module is used for acquiring images of the target area through the image acquisition device and generating behavior data based on the image acquisition result;
the environment data generation module is used for acquiring the environment information of the target area through the intelligent sensing device and generating environment data according to the environment information acquisition result;
the control data generation module is used for constructing an intelligent area control model based on the basic building information, inputting the area control model, the behavior data and the environment data into the intelligent area control model and generating area control data;
and the regional intelligent control module is used for performing regional intelligent control on the target region in the target building through the regional control data.
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