CN109117983A - Build method for managing resource and system, computer readable storage medium and terminal - Google Patents
Build method for managing resource and system, computer readable storage medium and terminal Download PDFInfo
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- 238000003860 storage Methods 0.000 title claims abstract description 9
- 238000000034 method Methods 0.000 title description 15
- 238000010276 construction Methods 0.000 claims abstract description 132
- 239000002994 raw material Substances 0.000 claims abstract description 11
- 238000009826 distribution Methods 0.000 claims abstract description 10
- 230000008447 perception Effects 0.000 claims abstract description 9
- 230000000694 effects Effects 0.000 claims abstract description 8
- 239000000203 mixture Substances 0.000 claims description 26
- 238000013441 quality evaluation Methods 0.000 claims description 16
- 230000019771 cognition Effects 0.000 claims description 15
- 238000011156 evaluation Methods 0.000 claims description 15
- 238000012545 processing Methods 0.000 claims description 15
- 239000004035 construction material Substances 0.000 claims description 10
- 230000004044 response Effects 0.000 claims description 8
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Abstract
A kind of construction method for managing resource and system, computer readable storage medium and terminal, which comprises the construction raw material virtualization of perception is encapsulated as the service of building;When receiving the construction service request of user, optimal service combination is chosen from the service of building;The distribution of construction side is combined into according to selected optimal service group and builds resource, so that the construction side carries out construction activity using distributed construction resource.Above-mentioned scheme, can be improved the intelligence degree of construction, and economize on resources.
Description
Technical field
The present invention relates to building technology fields, can more particularly to a kind of construction method for managing resource and system, computer
Read storage medium and terminal.
Background technique
With the fast development of the generation information technologies such as Internet of Things, big data, cloud computing and its in engineering-built
It is widely applied, the drawbacks of traditional mode of construction gradually shows, and mode of construction is turned from labor-intensive to technology-intensive type
Type.
Green smart cloud construction mainly contains two aspect meanings: being that whole building industry will walk sustainable development road first
Road guarantees to realize low-carbon energy-saving in entire building course, farthest efficient to build resource using every;Followed by exist
Introduce cloud computing technology means in building course and realize and build wisdom, that is, realize in real time, it is accurate, efficiently share building course
The bulk information of middle generation solves to build full Life Cycle comprising each construction participant, construction process, building equipment and system etc.
Interim existing problem of detached island of information, realizes the Collaboration for building each link.
But existing construction method for managing resource, the problem of there is intelligence degree is low and the wasting of resources.
Summary of the invention
Present invention solves the technical problem that being how to improve the intelligence degree of construction, and economize on resources.
In order to solve the above technical problems, the embodiment of the invention provides a kind of construction method for managing resource, the method packet
It includes:
The construction raw material virtualization of perception is encapsulated as the service of building;
When receiving the construction service request of user, optimal service combination is chosen from the service of building;
The distribution of construction side is combined into according to selected optimal service group and builds resource, is divided so that the construction side uses
The construction resource matched carries out construction activity.
It is optionally, described that optimal service combination is chosen from the service of building, comprising:
Based on cost, pollution, response time and reliability, the service quality evaluation formula of Services Composition is constructed;
According to service quality evaluation formula, the Markov decision model of Services Composition is established;
The service of the optimal solution of the Markov decision model is sought using the Q-learning algorithm in intensified learning
Combination is combined as the optimal service.
Optionally, the method also includes:
Obtain the construction environment data in production building course;
Based on acquired construction environment data, the safety situation evaluation of construction environment is carried out;
When determining dangerous item by safety situation evaluation, corresponding alarm prompt is exported.
Optionally, the method also includes at least one of following:
The on-line purchase service of construction material is provided for user;
The multi-party coordinated design tools service of construction program is provided for user;
Construction drawing online query service is provided for user;
Construction site situation, which is provided, for user checks service.
The embodiment of the invention also provides a kind of construction resource management system, the system comprises:
Cloud builds basic resource unit, suitable for the construction raw material virtualization of perception is encapsulated as the service of building;
Cloud builds cognition processing unit, suitable for being chosen from the service of building when receiving the construction service request of user
Optimal service combination;The distribution of construction side is combined into according to selected optimal service group and builds resource, so that the construction side is adopted
Construction activity is carried out with the construction resource distributed.
Optionally, the cloud builds cognition processing unit, is suitable for being based on cost, pollution, response time and reliability, building
The service quality evaluation formula of Services Composition;According to service quality evaluation formula, the Markovian decision mould of Services Composition is established
Type;The Services Composition of the optimal solution of the Markov decision model is sought using the Q-learning algorithm in intensified learning,
It is combined as the optimal service.
Optionally, the cloud builds cognition processing unit, is further adapted for obtaining the construction environment data in production building course;
Based on acquired construction environment data, the safety situation evaluation of construction environment is carried out;It is deposited when by safety situation evaluation determination
In dangerous item, corresponding alarm prompt is exported.
Optionally, the system also includes clouds to build intelligence s ervice unit, is suitable for user and provides the online of construction material
Purchase service, the multi-party coordinated design tools service of construction program, construction drawing online query service, construction site situation are checked
At least one of service.
The embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with computer instruction, described
The step of computer instruction executes construction method for managing resource described in any of the above embodiments when running.
The embodiment of the invention also provides a kind of terminal, including memory and processor, energy is stored on the memory
Enough computer instructions run on the processor, the processor execute any of the above-described when running the computer instruction
The step of described construction method for managing resource.
Compared with prior art, the technical solution of the embodiment of the present invention has the advantages that
Above-mentioned scheme by the way that the construction raw material virtualization of perception is encapsulated as the service of building, and is worked as and receives user
Construction service request when, from build service in choose optimal service combination, built with being combined into according to selected optimal service group
Resource is built in the side's of making distribution, so that the construction side carries out construction activity using distributed construction resource, may be implemented to build
The wisdom of process Life cycle is made, and realizes the dynamic management of building course, therefore the intelligence for building resource management can be improved
Degree can be changed, and the consumption that economizes on resources.
Detailed description of the invention
Fig. 1 is a kind of structural schematic diagram of construction resource management system of the embodiment of the present invention;
Fig. 2 is a kind of flow diagram of construction method for managing resource of the embodiment of the present invention.
Specific embodiment
Technical solution in the embodiment of the present invention, which passes through, is encapsulated as the service of building for the construction raw material virtualization of perception, and
When receiving the construction service request of user, optimal service combination is chosen from the service of building, according to selected optimal
Services Composition is that resource is built in the distribution of construction side, so that the construction side carries out construction work using distributed construction resource
It is dynamic, the wisdom of building course Life cycle may be implemented, and realize the dynamic management of building course, therefore construction can be improved
The intelligence degree of resource management, and the consumption that economizes on resources.
It is understandable to enable above-mentioned purpose of the invention, feature and beneficial effect to become apparent, with reference to the accompanying drawing to this
The specific embodiment of invention is described in detail.
For be easy to understand, below by first to one of embodiment of the present invention build resource management system structure into
The brief introduction of row.
Fig. 1 is a kind of structural schematic diagram of construction resource management system of the embodiment of the present invention.Referring to Fig. 1, the present invention is real
It applies one of example and builds resource management system, may include that cloud builds basic resource unit 11, cloud builds cognition processing unit
12.Wherein, cloud builds basic resource unit 11 and cloud is built and is mutually coupled between cognition processing unit 12.
In an embodiment of the present invention, in order to improve build resource intelligence degree, the construction resource management system
It can also include that cloud builds intelligence s ervice unit 13.Wherein, the construction intelligence s ervice unit 13 builds cognition processing list with cloud
It is mutually coupled between member 12.
The working principle shown in FIG. 1 for building resource management system is introduced below in conjunction with Fig. 2.
Fig. 2 is a kind of flow diagram of construction method for managing resource of the embodiment of the present invention.Referring to fig. 2, the present invention is real
It applies one of example and builds method for managing resource, for can specifically include to resource progress intelligence, greenization management is built
Following step:
Step S201: the construction raw material virtualization of perception is encapsulated as the service of building.
In specific implementation, the cloud, which builds the basic function of basic resource module, is incited somebody to action by embedded cloud technology
The physics of each isomery builds software and hardware and virtualizes and be linked into wisdom construction network comprising wisdom builds network, such as wireless
Sensor network, base station, gateway etc., and intelligence build facility resource, the sensor as used in RFID, information collection, can
Wearable device etc..Meanwhile construction raw material are carried out virtualization and are encapsulated as cloud construction resource by the cloud construction basic resource module,
To realize the comprehensive interconnection for building resource, then pass through the tools such as virtual objects model library, virtual knowledge database for these virtual constructions
Resource Encapsulation is the service of building, and is published to cloud and builds service catalogue index center, may be implemented to build service real-time query.
Meanwhile the cloud is built basic resource module and can also be realized in work progress by the virtualization of work progress
Information interconnects, and the real time information that construction site is collected into is converged, and builds full-range information sharing to realize.
Step S202: when receiving the construction service request of user, optimal service combination is chosen from the service of building.
In specific implementation, it since the production of construction material can provide same construction product by different producers, therefore relates to
And to how to choose more efficient, more green, more believable Services Composition, to provide more efficient, more green build for building course
Producing material material, therefore be provided with the cloud and build cognition processing unit.Wherein, the cloud builds cognition processing unit, to realize wisdom
Cloud, which is built, provides basic function, is the large data center that smart cloud is built, provides the information reservation and Data Analysis Services of magnanimity
Ability is the key that realize that as-built information is shared, building course wisdom.
In an embodiment of the present invention, it includes building cloud service preferred module that the cloud, which builds cognition processing unit,.Wherein,
The construction cloud service preferred module can obtain building clothes in the construction service request for receiving user from virtualization encapsulation
Optimal service combination is chosen in business, to realize more intelligent, green construction resource management.
Specifically, the cloud, which builds cognition processing unit, can be first depending on cost, time, pollution, reliability foundation
Service quality (Qos) judgement schematics of Services Composition, and Services Composition is modeled using Markovian decision process, it uses
Model is optimized with the intensified learning of Qos evaluation of estimate in reward, to select optimal service.
Wherein, when establishing service quality (Qos) service evaluation formula, the cloud builds cognition processing unit can foundation
Cost, response time, pollution and reliability construct service quality evaluation formula:
Q=(C, T, P, R) (1)
Wherein, Q indicates that the service quality evaluation numerical value of Services Composition, C indicate the cost of Services Composition, and T indicates service group
The response time of conjunction, P indicate the pollution of Services Composition, and R indicates the reliability of Services Composition.
Then, belong to positive attribute or negative sense attribute in service quality evaluation according to it, by above cost, response
Four time, pollution and reliability indexs are divided into two classes, and four indexs are normalized.Wherein:
Normalized using following formula to the reliability for belonging to positive attribute:
Using following formula to cost, response time, the negative senses attribute such as pollution is normalized:
Wherein, m indicates the total quantity serviced in Services Composition, and j indicates j-th of Service Quality in service quality evaluation index
Measure evaluation index, QmjIndicate the value of j-th of service quality evaluation index of m-th of service,It respectively indicates j-th
The maximum value and minimum value of service quality evaluation index.
Therefore, final service quality evaluation formula can indicate are as follows:
Wherein, VjIndicate the normalized value of j-th of service quality evaluation index, Q indicates that the service quality of Services Composition is commented
Value, the numerical value of Q is bigger, shows that the service quality of Services Composition is better.
Then, according to constructed service quality evaluation formula, Markov decision model is established.Wherein, markov
Decision process is five-tuple (S, A, a Pv, Rv, γv), S indicates state set, the i.e. collection of all possible state compositions of system
It closes, is the Services Composition of system, is exactly service locating for the i-th step;A indicates set of actions, from a kind of state to another state
The action taken takes different movements, has different service states for example, there are two service options for the i-th step;V is plan
Slightly;PvIt is state-transition matrix, in the case where tactful v is given, the relational matrix shifted between service and service, for given
V, haveWherein pij(v (i)) refers to state i to state j in the work of tactful v
State transition probability under;RvIt is the Reward Program of system, i.e. reward function in intensified learning;γvIt is the discount of study
Rate is understood passage at any time and is changed
It is based on, the optimal solution of Markov decision model is sought using the Q-learning algorithm in intensified learning, as
The optimal service combination.Specifically, discount rate γ is arranged in initiation parameter firstv, Learning Step, and to institute it is stateful and
The Q value of action is initialized;Then, original state is selected, and enables Rv=0, from original state turntable, selected using greedy method
Action, and judge whether to terminate, if terminating, exporting selected Services Composition is optimal service combination.
Step S203: the distribution of construction side is combined into according to selected optimal service group and builds resource, so that the construction
The construction resource that Fang Caiyong is distributed carries out construction activity.
In specific implementation, when choosing optimal service combination, it can the optimal service combine output and be shown to use
Family allows user build with reference to the optimal service combination selection of raw material, to realize the intelligence for building resource
Energyization and greenization management.
In specific implementation, in order to improve the safety of the working environment for building construction site, the method can also be wrapped
It includes:
Step S204: based on acquired construction environment data, the safety situation evaluation of construction environment is carried out, and works as and passes through
When safety situation evaluation determines dangerous item, corresponding alarm prompt is exported.
In specific implementation, it can also include safety situation evaluation unit that the cloud, which builds cognition processing unit,.Wherein, institute
Safety situation evaluation unit is stated, with secure data and the worker by obtaining the dynamic change that construction place of production sensor obtains
Wearable device obtain data, the construction safe condition of entire construction site is comprehensively perceived, by cloud computing
Data are handled, corresponding safety is then obtained come data are learnt and are analyzed to treated using intensified learning
Situation Assessment value, and judge security postures whether be more than setting secure threshold, if be more than threshold value, by wearable device pair
Worker carries out safety prompt function, builds movable safety so as to improve.
Step S205: on-line purchase service, the multi-party coordinated design tools service, construction drawing of construction material are provided for user
Paper online query service and construction site situation check at least one of service.
In specific implementation, the cloud builds intelligence s ervice unit, the main all types of user in face of participating in building, and to this
A little users provide different application interfaces, and online order, multi-party coordinated design tools, construction drawing including construction material are online
Inquiry, construction site situation are checked.Wherein, the online order of construction material, for towards construction direction construction material producer
It is proposed the production service request of construction material;Multi-party coordinated design tools service is mainly directed towards all participations and builds movable use
Family carries out cooperation and communication;For construction side, construction drawing online query is provided, construction is facilitated to carry out;Construction site situation is looked into
It sees service, real-time construction site situation can be provided for monitoring party and checked.
It will be appreciated by those skilled in the art that be, the cloud build intelligence s ervice unit can provide than above-mentioned more or
Less service, to meet the different demands of user, herein with no restrictions.
The embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with computer instruction, described
The step of construction method for managing resource is executed when computer instruction is run.Wherein, the construction method for managing resource
Being discussed in detail for preceding sections is referred to, is repeated no more.
The embodiment of the invention also provides a kind of terminal, including memory and processor, energy is stored on the memory
Enough computer instructions run on the processor, the processor execute the construction when running the computer instruction
The step of method for managing resource.Wherein, the construction method for managing resource refers to being discussed in detail for preceding sections, no longer superfluous
It states.
Using the above scheme in the embodiment of the present invention, by being encapsulated as the construction raw material virtualization of perception to build clothes
Business, and when receiving the construction service request of user, optimal service combination is chosen from the service of building, according to selected
Optimal service group is combined into the distribution of construction side and builds resource, so that the construction side is built using distributed construction resource
Activity, may be implemented the wisdom of building course Life cycle, and realize the dynamic management of building course, therefore can be improved and build
The intelligence degree of resource management is made, and the consumption that economizes on resources.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can store in computer readable storage medium, and storage is situated between
Matter may include: ROM, RAM, disk or CD etc..
Although present disclosure is as above, present invention is not limited to this.Anyone skilled in the art are not departing from this
It in the spirit and scope of invention, can make various changes or modifications, therefore protection scope of the present invention should be with claim institute
Subject to the range of restriction.
Claims (10)
1. a kind of construction method for managing resource characterized by comprising
The construction raw material virtualization of perception is encapsulated as the service of building;
When receiving the construction service request of user, optimal service combination is chosen from construction service;
The distribution of construction side is combined into according to selected optimal service group and builds resource, so that construction side use was distributed
It builds resource and carries out construction activity.
2. construction method for managing resource according to claim 1, which is characterized in that described to be chosen from construction service
Optimal service combination, comprising:
Based on cost, pollution, response time and reliability, the service quality evaluation formula of Services Composition is constructed;
According to service quality evaluation formula, the Markov decision model of Services Composition is established;
The Services Composition of the optimal solution of the Markov decision model is sought using the Q-learning algorithm in intensified learning,
It is combined as the optimal service.
3. construction method for managing resource according to claim 1, which is characterized in that further include:
Obtain the construction environment data in production building course;
Based on acquired construction environment data, the safety situation evaluation of construction environment is carried out;
When determining dangerous item by safety situation evaluation, corresponding alarm prompt is exported.
4. construction method for managing resource according to claim 1, which is characterized in that further include at least one of following:
The on-line purchase service of construction material is provided for user;
The multi-party coordinated design tools service of construction program is provided for user;
Construction drawing online query service is provided for user;
Construction site situation, which is provided, for user checks service.
5. a kind of construction resource management system characterized by comprising
Cloud builds basic resource unit, suitable for the construction raw material virtualization of perception is encapsulated as the service of building;
Cloud builds cognition processing unit, suitable for choosing from the service of building optimal when receiving the construction service request of user
Services Composition;The distribution of construction side is combined into according to selected optimal service group and builds resource, so that the construction side uses institute
The construction resource of distribution carries out construction activity.
6. construction resource management system according to claim 5, which is characterized in that the cloud builds cognition processing unit,
Suitable for being based on cost, pollution, response time and reliability, the service quality evaluation formula of Services Composition is constructed;According to Service Quality
Judgement schematics are measured, the Markov decision model of Services Composition is established;It is sought using the Q-learning algorithm in intensified learning
The Services Composition of the optimal solution of the Markov decision model is combined as the optimal service.
7. construction resource management system according to claim 5, which is characterized in that the cloud builds cognition processing unit,
It is further adapted for obtaining the construction environment data in production building course;Based on acquired construction environment data, construction environment is carried out
Safety situation evaluation;When determining dangerous item by safety situation evaluation, corresponding alarm prompt is exported.
8. construction resource management system according to claim 5, which is characterized in that further include that cloud builds intelligence s ervice list
Member is suitable for user and provides on-line purchase service, the multi-party coordinated design tools service of construction program, construction drawing of construction material
At least one of service is checked in paper online query service, construction site situation.
9. a kind of computer readable storage medium, is stored thereon with computer instruction, which is characterized in that the computer instruction fortune
Perform claim requires the step of 1 to 4 described in any item construction method for managing resource when row.
10. a kind of terminal, which is characterized in that including memory and processor, storing on the memory can be at the place
The computer instruction run on reason device, perform claim requires any one of 1 to 4 institute when the processor runs the computer instruction
The step of construction method for managing resource stated.
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CN101488880A (en) * | 2008-01-16 | 2009-07-22 | 北京航空航天大学 | Adaptive maintenance method for improving reliability of service combination |
CN103248693A (en) * | 2013-05-03 | 2013-08-14 | 东南大学 | Large-scale self-adaptive composite service optimization method based on multi-agent reinforced learning |
CN103646008A (en) * | 2013-12-13 | 2014-03-19 | 东南大学 | Web service combination method |
CN105046351A (en) * | 2015-07-01 | 2015-11-11 | 内蒙古大学 | Reinforcement learning-based service combination method and system in uncertain environment |
CN106228338A (en) * | 2016-07-15 | 2016-12-14 | 广东中网电力有限公司 | A kind of distribution engineering intelligentized design integrated service system and using method |
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2018
- 2018-07-09 CN CN201810749420.8A patent/CN109117983A/en active Pending
Patent Citations (5)
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CN101488880A (en) * | 2008-01-16 | 2009-07-22 | 北京航空航天大学 | Adaptive maintenance method for improving reliability of service combination |
CN103248693A (en) * | 2013-05-03 | 2013-08-14 | 东南大学 | Large-scale self-adaptive composite service optimization method based on multi-agent reinforced learning |
CN103646008A (en) * | 2013-12-13 | 2014-03-19 | 东南大学 | Web service combination method |
CN105046351A (en) * | 2015-07-01 | 2015-11-11 | 内蒙古大学 | Reinforcement learning-based service combination method and system in uncertain environment |
CN106228338A (en) * | 2016-07-15 | 2016-12-14 | 广东中网电力有限公司 | A kind of distribution engineering intelligentized design integrated service system and using method |
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