CN111277663A - Intelligent management and control method and system for building with double service pools - Google Patents
Intelligent management and control method and system for building with double service pools Download PDFInfo
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- CN111277663A CN111277663A CN202010082609.3A CN202010082609A CN111277663A CN 111277663 A CN111277663 A CN 111277663A CN 202010082609 A CN202010082609 A CN 202010082609A CN 111277663 A CN111277663 A CN 111277663A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
- H04L67/63—Routing a service request depending on the request content or context
Abstract
The invention belongs to the field of intelligent building management and control, and provides a method and a system for intelligent building management and control of double service pools, which solve the problems that scheduling and linkage service in a building cluster cannot be realized and the response speed is low, and have the effect of high service request response speed. The method comprises the steps of receiving a building management and control service request sent by a user side, and judging the effectiveness of the building management and control service request; when the building management and control service request is effective, determining whether the edge service pool contains the requested service, and if so, calling the corresponding service; if not, searching and calling corresponding service from the cloud service pool; monitoring the service quality and comparing the service result after responding to the corresponding service and feeding back the service result to the user side; and the building management and control service in the edge service pool is periodically updated by adopting a normal distribution selection method.
Description
Technical Field
The invention belongs to the field of intelligent building management and control, and particularly relates to an intelligent building management and control method and system with double service pools.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
With the development of intelligent buildings, the data volume and the calculation amount of each subsystem become huge, and if each large-scale building is transformed into an intelligent building with complete functions, only computing resources and storage resources are astronomical numbers, which also becomes the bottleneck of transformation and development of the intelligent building.
The inventor finds that the existing intelligent management and control has the following problems: the intelligent management and control system is 'individual combat', the server is deployed in the body building, the upgrading cost of the server is extremely high, scheduling and linkage services in a building cluster cannot be formed, platform network resources are blocked frequently, service response is not rapid enough, and economic and social losses are further caused.
Disclosure of Invention
In order to solve the above problems, a first aspect of the present invention provides a dual-service pool building intelligent control method, which dynamically updates a building control service in an edge service pool by using a normal distribution method, reduces the cost for upgrading and transforming a building control group, and avoids network resource congestion of a cloud platform by using a dual-service pool structure of the edge service pool and a cloud service pool, so that the building intelligent control service responds more quickly and forms a scheduling and linkage service in a building cluster.
In order to achieve the purpose, the invention adopts the following technical scheme:
a double-service pool building intelligent management and control method comprises the following steps:
receiving a building management and control service request sent by a user side, and judging the effectiveness of the building management and control service request;
when the building management and control service request is effective, determining whether the edge service pool contains the requested service, and if so, calling the corresponding service; if not, searching and calling corresponding service from the cloud service pool; monitoring the service quality and comparing the service result after responding to the corresponding service and feeding back the service result to the user side;
the building management and control service in the edge service pool is periodically updated by adopting a normal distribution selection method, and the process is as follows: building management and control services in the cloud service pool are periodically and normally distributed and arranged based on the calling frequency of the building management and control services in a preset time period, and according to the service resource occupation ratio, the building management and control services with the highest calling frequency are used as the center, screened towards two sides and packaged to the edge service pool.
In order to solve the above problems, a second aspect of the present invention provides a dual-service pool building intelligent management and control system, which dynamically updates a building management and control service in an edge service pool by using a normal distribution method, reduces the cost for upgrading and transforming a building management and control group, and avoids network resource congestion of a cloud platform by using a dual-service pool structure of the edge service pool and a cloud service pool, so that the building intelligent management and control service responds more quickly and forms a scheduling and linkage service in a building cluster.
In order to achieve the purpose, the invention adopts the following technical scheme:
the utility model provides a two service pool building intelligence management and control systems, includes:
the edge server is internally provided with an edge service pool;
the cloud server is internally provided with a cloud service pool;
the edge server includes:
the user interaction agent is used for receiving and processing the building management and control service request sent by the user side and judging the effectiveness of the building management and control service request;
the service management center is used for determining whether the edge service pool contains the requested service or not when the building management and control service request is effective, and calling the corresponding service if the edge service pool contains the requested service; if not, searching and calling corresponding service from the cloud service pool; the method adopts a normal distribution selection method to periodically update the building management and control service in the edge service pool, and comprises the following steps: building management and control services in the cloud service pool are periodically and normally distributed and arranged on the basis of the calling frequency of the building management and control services in a preset time period, and according to the service resource occupation ratio, the building management and control services with the highest calling frequency are taken as the center, screened towards two sides and packaged to the edge service pool;
and the service situation detector is used for monitoring the service quality after responding to the corresponding service and comparing the service result.
In order to solve the above problems, a third aspect of the present invention provides a computer-readable storage medium, which dynamically updates a building management and control service in an edge service pool by using a normal distribution method, reduces the cost for upgrading and transforming a building management and control group, and avoids network resource congestion of a cloud platform by using a dual-service pool structure of the edge service pool and a cloud service pool, so that a response of the building intelligent management and control service is faster, and scheduling and linkage services in the building cluster are formed.
In order to achieve the purpose, the invention adopts the following technical scheme:
a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps in the intelligent management and control method for a dual service pool building as described above.
In order to solve the above problems, a fourth aspect of the present invention provides a computer device, which dynamically updates a building management and control service in an edge service pool by using a normal distribution method, reduces the cost for upgrading and transforming a building management and control group, and avoids network resource congestion of a cloud platform by using a dual-service pool structure of the edge service pool and a cloud service pool, so that the response of the building intelligent management and control service is faster, and scheduling and linkage services in the building cluster are formed.
In order to achieve the purpose, the invention adopts the following technical scheme:
a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the steps of the intelligent management and control method for dual service pool buildings as described above.
The invention has the beneficial effects that:
(1) according to the method, the edge service pool and the cloud service pool are utilized, whether the edge service pool closer to the data source contains the requested service is determined firstly, if not, the corresponding service is searched and called from the cloud service pool, so that the centralized dispatching and linkage service of the building is realized, the delay time is effectively shortened, the network resource congestion of a cloud platform is avoided, and the response of the intelligent management and control service is quicker.
(2) Because the resources of the edge server are limited, all services cannot be packaged in the edge service pool, and in order to improve the service efficiency, the services in the edge service pool are dynamically changed according to the user request.
(3) The invention also feeds back the monitored service quality and the compared service result after responding to the corresponding service to the user side, realizes the improvement of the response of the intelligent management and control service of the building group by depending on the dual measures of a service evaluation mechanism for monitoring the service quality and dynamic updating of the edge service pool, and provides a new way for the intelligent upgrading and reconstruction cost of the building.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
Fig. 1 is a flowchart of an intelligent management and control method for a dual-service pool building according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a normal distribution selection method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an intelligent management and control system for a dual-service pool building according to an embodiment of the present invention;
fig. 4 is a hardware framework diagram of a dual-service pool building intelligent management and control system according to an embodiment of the present invention.
Detailed Description
The invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The invention discloses a double-service-pool building intelligent control method and system, which are particularly suitable for the field of building intelligent control, wherein an edge service pool is configured in an edge server close to a building, and a cloud service pool is configured in a cloud service center; when the system is configured, one edge server can be equipped for a plurality of building buildings. For example: a plurality of city terraces are provided with a cloud service center, the cloud service center is connected with a plurality of edge servers, and the edge servers are arranged in the buildings of a certain street.
Example one
As shown in fig. 1, the present embodiment provides an intelligent management and control method for a dual-service pool building, which includes:
(1) and receiving a building management and control service request sent by a user side, and judging the effectiveness of the building management and control service request.
The building management and control services include, but are not limited to, attendance service, alarm service, voice control, gesture recognition, face recognition, video clip storage, energy optimization, equipment management, voice guidance, video conference and the like.
In specific implementation, the process of the validity of the building management and control service request is as follows:
and analyzing the building management and control service request, and judging the effectiveness of the building management and control service request according to a preset effectiveness requirement.
It is understood that the preset validity requirement is preset, such as service request timeliness and the like, and can be specifically set by a person skilled in the art according to actual situations.
(2) When the building management and control service request is effective, determining whether the edge service pool contains the requested service, and if so, calling the corresponding service; if not, searching and calling corresponding service from the cloud service pool; and after responding to the corresponding service, monitoring the service quality and comparing the service result and feeding back the service result to the user side.
Specifically, in the process of calling the corresponding service, whether the corresponding service is idle is inquired, and if so, the optimal idle service is called according to the service fitness; otherwise, the incoming service request is queued to wait for the corresponding service to be idle.
Service suitability evaluation: each time service is called, the service situation detector records service applicability once; the embodiment selects the call cycle parameter TechoAccuracy parameter VsuccessAnd resource occupation parameter EoccupyAs three types of indicators for service situation detection, the service applicability function QoR is thus defined as follows:
Qi＝Techo×wecho+Vsuccess×wreliablity+Eoccupy×woccupy
in the formula, wecho、wreliablity、woccupyWeight value of QoR aggregation attribute value, w (∈ (0,1) and wecho+wreliablity+woccupy1 is ═ 1; the larger the Qi, the better the service availability.
The building management and control service in the edge service pool is periodically updated by adopting a normal distribution selection method, and the process is as follows: building management and control services in the cloud service pool are periodically and normally distributed and arranged based on the calling frequency of the building management and control services in a preset time period, and according to the service resource occupation ratio, the building management and control services with the highest calling frequency are used as the center, screened towards two sides and packaged to the edge service pool.
When the building management and control service request is effective, recording the calling frequency of each building management and control service, arranging the building management and control services corresponding to the calling frequency in the cloud service pool according to normal distribution, periodically screening out the corresponding building management and control services according to the service resource occupation ratio, and storing the building management and control services to the edge service pool.
The service types of intelligent buildings are different, and the calling of the service is influenced by various factors; according to the central limit theorem, if an object is influenced by a plurality of factors, no matter what distribution each factor is, after the factors are summed up, the average value of the result is normal distribution; therefore, as long as the service samples in the service pool are large enough, the number of calls of different services conforms to the normal distribution. The edge server has limited resources, all services cannot be packaged in the edge service pool, and in order to improve the service efficiency, the services in the edge service pool are dynamically changed according to the user request.
If some services are frequently called, the services need to be packaged in an edge service pool; the calling frequency of some services is lower, and the services can be packaged in a cloud service pool, so that the resource occupation of an edge service pool is reduced; the calling frequency of other services is dynamically changed with time, and may be higher in a certain period of time, and such services only need to be loaded into the edge service pool in a certain period of time.
In this embodiment, the building management and control services corresponding to the calling frequency in the cloud service pool are arranged according to normal distribution, and the corresponding building management and control services are periodically screened out according to the service resource occupation ratio and stored in the edge service pool, that is, according to the principle of normal distribution selection, the specific process is as shown in fig. 2:
setting the total capacity of the edge service pool as 1, after the new service is released, the service management center can calibrate the resource occupation ratio Z according to the service resource occupation when the system operates for the first timen(n ═ 1,2, 3.). If different service classes are usedn(n ═ 1,2, 3.) indicates that the most frequent service f is invokedkAs a center, different services are arranged in the service f according to the sequence of the frequency from high to lowkOn the left and right sides, selecting service from the service fk with normal distribution center axis to the two sides and packaging into the edge service pool, and selecting service set FbyThe normal distribution selection formula is:
Fby＝{fk±i|∑Zk±i≤1(i＝0,1,2...)}
taking the example shown in FIG. 2, fkFor semantic recognition 1, withTaking the service as the center, and selecting different services from the left side and the right side in sequence; the final services encapsulated into the edge service pool are 9, which are respectively: energy consumption optimization 1, equipment management 1, video clip storage 3, voice guidance 1, face recognition 3, video conference 2, gesture recognition 1, gesture recognition 4 and voice control 1.
And (3) verifying the sum of the occupied resources: 0.13+0.12+0.12+0.15+0.09+0.08+0.15+0.08+0.07 is equal to 0.99<1, and meets the requirement.
In specific implementation, the validity of the building management and control service request is determined through the analysis instruction, and when the building management and control service request is invalid, the online service is released and a waiting instruction is entered.
According to the method, the edge service pool and the cloud service pool are utilized, whether the edge service pool closer to the data source contains the requested service is determined firstly, if not, the corresponding service is searched and called from the cloud service pool, so that the centralized scheduling and linkage service of the building cluster is realized, the delay time is effectively shortened, the network resource congestion of a cloud platform is avoided, and the response of the intelligent management and control service is quicker.
The reason why the edge service pool is prioritized is that: the edge service pool network is faster and closer to the user side, for example, a dozen buildings are equipped with an edge service pool, and possibly several cities are equipped with a cloud service center.
Because the edge server resources are limited, all services cannot be packaged in the edge service pool, in order to improve the service efficiency, the services in the edge service pool are dynamically changed according to the user request, in the embodiment, the dynamic management of the edge service pool is realized by adopting a normal distribution selection method, the upgrading and transformation cost of a building management and control group is reduced, and meanwhile, the response speed of the intelligent management and control service is improved.
Example two
As shown in fig. 3, the intelligent management and control system for a dual-service pool building of this embodiment includes:
the edge server is internally provided with an edge service pool;
the cloud server is internally provided with a cloud service pool;
the edge server includes:
the user interaction agent is used for receiving and processing the building management and control service request sent by the user side and judging the effectiveness of the building management and control service request;
the service management center is used for determining whether the edge service pool contains the requested service or not when the building management and control service request is effective, and calling the corresponding service if the edge service pool contains the requested service; if not, searching and calling corresponding service from the cloud service pool; the method adopts a normal distribution selection method to periodically update the building management and control service in the edge service pool, and comprises the following steps: building management and control services in the cloud service pool are periodically and normally distributed and arranged on the basis of the calling frequency of the building management and control services in a preset time period, and according to the service resource occupation ratio, the building management and control services with the highest calling frequency are taken as the center, screened towards two sides and packaged to the edge service pool;
and the service situation detector is used for monitoring the service quality after responding to the corresponding service and comparing the service result.
The service management center is also used for developers to issue services, inquire the applicability from the service situation detector and the like.
In order to improve service response and program efficiency, bring data processing closer to the user side, and reduce the broadband load of the cloud server, the embodiment provides the dual-service-pool building intelligent management and control system shown in fig. 2. In fig. 2, the edge service pool is closer to the data source, and by means of communication technologies such as 5G, the program runs more efficiently and the delay time is effectively shortened; the cloud service pool realizes larger, faster and stronger centralized big data processing by virtue of the advantages of computing resources, and plays a role of 'smart cloud brain', and the edge service pool is regarded as a supplement and optimization of the cloud service pool.
Fig. 4 shows a hardware framework of the dual-service pool building intelligent management and control system of this embodiment, in fig. 4, an equipment resource layer provides hardware resources such as computation, storage, and network for the smart security cloud platform, and takes Openstack as a universal front end of infrastructure as a service resource (IaaS), virtualizes the hardware resources, simplifies a deployment process of the security cloud platform, and improves expandability of the security cloud platform.
The virtual resource layer is mainly responsible for data management and service encapsulation, belongs to a platform as a service (PaaS) layer, and provides a uniform virtual interface and a cloud service pool for services. The virtual resource layer is based on a big data parallel processing programming model Map/Reduce and a master-slave distributed file system HDFS, a cloud platform data processing tool selects a distributed database HBase and a data management tool HCatalog and is matched with an application coordination component zookeeper to ensure the consistency of service encapsulation.
The SOA interface layer decomposes the actual business into independent and reusable services, and assembles and arranges the services to meet the changes of the business and the flow; and the user interaction agent receives the service request and then sends the service request to the service management center, and the service management center calls the service according to the service quality evaluation result of the service situation monitor.
According to the method, the edge service pool and the cloud service pool are utilized, whether the edge service pool closer to the data source contains the requested service is determined firstly, if not, the corresponding service is searched and called from the cloud service pool, so that the centralized scheduling and linkage service of the building cluster is realized, the delay time is effectively shortened, the network resource congestion of a cloud platform is avoided, and the response of the intelligent management and control service is quicker.
Because the edge server resources are limited, all services cannot be packaged in the edge service pool, in order to improve the service efficiency, the services in the edge service pool are dynamically changed according to the user request, in the embodiment, the dynamic management of the edge service pool is realized by adopting a normal distribution selection method, the upgrading and transformation cost of a building management and control group is reduced, and meanwhile, the response speed of the intelligent management and control service is improved.
EXAMPLE III
The embodiment provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps in the intelligent management and control method for a dual service pool building according to the first embodiment.
According to the method, the edge service pool and the cloud service pool are utilized, whether the edge service pool closer to the data source contains the requested service is determined firstly, if not, the corresponding service is searched and called from the cloud service pool, so that the centralized scheduling and linkage service of the building cluster is realized, the delay time is effectively shortened, the network resource congestion of a cloud platform is avoided, and the response of the intelligent management and control service is quicker.
Because the edge server resources are limited, all services cannot be packaged in the edge service pool, in order to improve the service efficiency, the services in the edge service pool are dynamically changed according to the user request, in the embodiment, the dynamic management of the edge service pool is realized by adopting a normal distribution selection method, the upgrading and transformation cost of a building management and control group is reduced, and meanwhile, the response speed of the intelligent management and control service is improved.
Example four
The embodiment provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the program, the steps in the intelligent management and control method for a dual service pool building according to the first embodiment are implemented.
According to the method, the edge service pool and the cloud service pool are utilized, whether the edge service pool closer to the data source contains the requested service is determined firstly, if not, the corresponding service is searched and called from the cloud service pool, so that the centralized scheduling and linkage service of the building cluster is realized, the delay time is effectively shortened, the network resource congestion of a cloud platform is avoided, and the response of the intelligent management and control service is quicker.
Because the edge server resources are limited, all services cannot be packaged in the edge service pool, in order to improve the service efficiency, the services in the edge service pool are dynamically changed according to the user request, in the embodiment, the dynamic management of the edge service pool is realized by adopting a normal distribution selection method, the upgrading and transformation cost of a building management and control group is reduced, and meanwhile, the response speed of the intelligent management and control service is improved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The intelligent management and control method for the double-service-pool building is characterized by comprising the following steps:
receiving a building management and control service request sent by a user side, and judging the effectiveness of the building management and control service request;
when the building management and control service request is effective, determining whether the edge service pool contains the requested service, and if so, calling the corresponding service; if not, searching and calling corresponding service from the cloud service pool; monitoring the service quality and comparing the service result after responding to the corresponding service and feeding back the service result to the user side;
the building management and control service in the edge service pool is periodically updated by adopting a normal distribution selection method, and the process is as follows: building management and control services in the cloud service pool are periodically and normally distributed and arranged based on the calling frequency of the building management and control services in a preset time period, and according to the service resource occupation ratio, the building management and control services with the highest calling frequency are used as the center, screened towards two sides and packaged to the edge service pool.
2. The intelligent management and control method for the building with the double service pools as claimed in claim 1, wherein the validity of the building management and control service request is determined by parsing the instruction, and when the building management and control service request is invalid, the on-line service is released and a waiting instruction is entered.
3. The intelligent management and control method for the buildings with the double service pools as claimed in claim 1, wherein in the process of invoking the corresponding service, whether the corresponding service is idle is inquired, if so, the optimal idle service is invoked according to the service fitness; otherwise, the incoming service request is queued to wait for the corresponding service to be idle.
4. The intelligent management and control method for the building with the double service pools as claimed in claim 3, wherein the service fitness is equal to the sum of the product of the calling period parameter, the accuracy parameter and the resource occupation parameter with the respective corresponding weight values.
5. The intelligent management and control method for buildings with double service pools as claimed in claim 1, wherein the sum of the resource occupation of the periodically screened building management and control services is less than or equal to the total capacity of the edge service pool.
6. The utility model provides a two service pool building intelligence management and control systems which characterized in that includes:
the edge server is internally provided with an edge service pool;
the cloud server is internally provided with a cloud service pool;
the edge server includes:
the user interaction agent is used for receiving and processing the building management and control service request sent by the user side and judging the effectiveness of the building management and control service request;
the service management center is used for determining whether the edge service pool contains the requested service or not when the building management and control service request is effective, and calling the corresponding service if the edge service pool contains the requested service; if not, searching and calling corresponding service from the cloud service pool; the method adopts a normal distribution selection method to periodically update the building management and control service in the edge service pool, and comprises the following steps: building management and control services in the cloud service pool are periodically and normally distributed and arranged on the basis of the calling frequency of the building management and control services in a preset time period, and according to the service resource occupation ratio, the building management and control services with the highest calling frequency are taken as the center, screened towards two sides and packaged to the edge service pool;
and the service situation detector is used for monitoring the service quality after responding to the corresponding service and comparing the service result.
7. The dual service pool building intelligent management and control system of claim 6, wherein the service management center is further configured to determine validity of the building management service request by parsing the instruction, and when the building management service request is invalid, release the online service and enter a waiting instruction.
8. The intelligent management and control system for buildings with two service pools as claimed in claim 6, wherein in the process of invoking the corresponding service, whether the corresponding service is idle is inquired, if yes, the optimal idle service is invoked according to the service fitness; otherwise, the incoming service request is queued to wait for the corresponding service to be idle.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps in the intelligent management and control method for a dual service pool building according to any one of claims 1 to 5.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps in the intelligent management and control method for a dual service pool building as claimed in any one of claims 1-5.
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