CN103019158A - System and method for managing and controlling green building facilities and equipment based on cloud computing - Google Patents
System and method for managing and controlling green building facilities and equipment based on cloud computing Download PDFInfo
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- CN103019158A CN103019158A CN2011102801157A CN201110280115A CN103019158A CN 103019158 A CN103019158 A CN 103019158A CN 2011102801157 A CN2011102801157 A CN 2011102801157A CN 201110280115 A CN201110280115 A CN 201110280115A CN 103019158 A CN103019158 A CN 103019158A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0421—Multiprocessor system
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
- H04L12/2816—Controlling appliance services of a home automation network by calling their functionalities
- H04L12/2818—Controlling appliance services of a home automation network by calling their functionalities from a device located outside both the home and the home 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
- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/25—Pc structure of the system
- G05B2219/25057—Configuration stored in distributed database for real time use
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/25—Pc structure of the system
- G05B2219/25131—Collect several parameters and transmit in block to control microprocessor
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
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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
Abstract
The invention discloses a method and system for managing and controlling green building facilities and equipment based on cloud computing. The system comprises an internet-of-thing onsite control device, an internet-of-thing onsite data acquisition machine and a cloud computing facility and equipment managing and controlling platform, wherein the internet-of-thing onsite control device is used for setting normal operation parameters of the facilities and the equipment, performing operation management and control on the operating modes of the onsite facilities and equipment according to the normal operation parameters and transmitting the normal operation parameters to the cloud computing facility and equipment managing and controlling platform; the internet-of-thing onsite data acquisition machine is used for acquiring actual operation parameters of the facilities and the equipment and transmitting the actual operation parameters to the cloud computing facility and equipment managing and controlling platform; and the cloud computing facility and equipment managing and controlling platform is used for adjusting the onsite operation managing and controlling mode of the internet-of-thing onsite control device to the facilities and the equipment according to the acquired actual operation parameters and the set normal operation parameters. The method is implemented by the system. The system and the method disclosed by the invention can compatible with all platforms, a plurality of objects are managed and controlled in a concentrated manner under a unified platform, and thus the optimization configuration of the operation situations of the facilities and the equipment is achieved.
Description
Technical field
The present invention relates to the affiliated facility of buildings, the control technology field of facilities and equipment, relate in particular to a kind of green building facilities and equipment management control system and method based on cloud computing.
Background technology
Along with mondial asd number increases, for the equipment in the building, such as electromechanical equipments such as air-conditioning, blower fan, elevators, and the management control of other facilities such as hose saddle, alarm, access control equipment is more and more important.In claims and instructions of the application, so-called facilities and equipment comprises electromechanical equipment and other facilities.Facilities and equipment management system of the prior art, mostly just adopt and analyze facilities and equipment quantity, the nameplate information of facilities and equipment, the maintenance log of facilities and equipment etc. means, facilities and equipment to building is done the effect that an information gathers, and can not use robotization means Real-time Collection each facilities and equipment real-time running data and design parameter, more be difficult to accomplish cross-platform, cross-system " data are accessible between thing and the thing shares " function, be merely able to by manual entry product parameters and operational factor, particularly can not accomplish in real time all parts of facilities and equipment to be done service data and design parameter comparative analysis, can't investigate and predict in advance the time of occurrence node of facilities and equipment fault, and fault the extent of injury that facilities and equipment is caused.
The inventor finds that also there is following problem in common facilities management software still more:
1, system runs into the problem that processing speed is not rapid, data protection can't realize when processing a large amount of historical data;
2, system does not carry out comprehensive facilities and equipment and parts service data statistics, analyzes and management control from aspects such as design factor, environment for use, use habit, human factor, operating index, management system, fault base stake, fault performance, fault statistics, operation optimizations, only be that the part statistics is offered the user, allow user oneself go to revise on-the-spot operational management control model according to statistics, thereby can't realize the optimization configuration of facilities and equipment operational management.
3, can not realize building that interior all devices facility is cross-platform, cross-system " thing and thing data real-time exchange ", and realize cross-system, according to installations and facilities management and the control of functional requirement.
Cloud computing is the network technology that grew up in recent years, and it is that calculation task is distributed on the resource pool of a large amount of computing machines formations, so that various application system can be obtained computing power, storage space and various software service as required.Each large IT company is numerous and confused release own based on cloud computing platform service, such as Google (GOOGLE), Microsoft, Yahoo, Amazon (Amazon) etc., the summary cloud computing of getting up has following characteristics:
(1) ultra-large." cloud " has suitable scale, and the Google cloud computing has had more than 100 ten thousand station servers, and Amazon, IBM, Microsoft, Yahoo etc. " cloud " all has the hundreds of thousands station server.The privately owned cloud of enterprise generally has hundreds of thousands of station servers, and " cloud " can give the user unprecedented computing power.
(2) virtual.Cloud computing support the user at an arbitrary position, use various terminals to obtain application service.Requested resource is from " cloud ", rather than fixing tangible entity.Be applied in somewhere operation in " cloud ", but in fact the user need not to understand, does not also worry using the particular location of operation.Only need a notebook or a mobile phone, just can realize all that we need by network service, even comprise the task that supercomputing is such.
(3) high reliability." cloud " used the measures such as the many copies of data are fault-tolerant, the computing node isomorphism is interchangeable to ensure the high reliability of service, uses cloud computing more reliable than using local computer.
(4) versatility.Cloud computing can construct Protean application not for specific application under the support of " cloud ", same " cloud " can support different application operations simultaneously.
(5) enhanced scalability.The scale of " cloud " can dynamic retractility, satisfies and uses and the needs of userbase growth.
(6) on-demand service." cloud " is a huge resource pool, and you buy as required; Cloud can resemble tap water, electricity, the such charging of coal gas.
(7) extremely cheap.Because the special fault-tolerant measure of " cloud " can adopt extremely cheap node to consist of cloud, the robotization centralized management of " cloud " makes a large amount of enterprises need not to bear day by day high data center's handling cost, the versatility of " cloud " makes the utilization factor of resource significantly promote than legacy system, therefore the user can enjoy the low-cost advantage of " cloud " to the full, often as long as cost hundreds of dollar, several days time need the task that tens thousand of dollars, time several months just can finish before just finishing.
(8) technology of Internet of things is the reliable guarantee that cloud computing realizes the cross-platform exchange of field equipment data, and its essential implication is " thing and phase connect, intercommunication, and data sharing ".
(9) core of " technology of Internet of things " and basis remain " Internet technology ", are extension on the Internet technology basis and a kind of network technology of expansion; Its user side extends and has expanded between any article and the article, carries out message exchange and communication.Therefore, the definition of technology of Internet of things is: by information sensing equipment such as radio-frequency (RF) identification (RFID), infrared inductor, GPS, laser scanners, agreement by agreement, any article are connected with the internet, carry out message exchange and communication, to realize a kind of network technology of intelligent identification, location, tracking, monitoring and management.
(10) Internet of Things (Internet of Things) refers to end-equipment (Devices) and the facility (Facilities) with ubiquitous (Ubiquitous), comprise the sensor that possesses " inherent intelligence ", portable terminal, industrial system, digital control system, the home intelligent facility, video monitoring system etc., " external enabling " (Enabled), as stick the sundry assets (Assets) of RFID, the individual of portable radio terminal and vehicle etc. " intelligent object or animal " or " SMART DUST " (Mote), realize interconnecting (M2M) by various wireless and/or wired long distance and/or short distance communication networks, use integrated greatly (Grand Integration), and based on the SaaS of cloud computing operation isotype, at Intranet (Intranet), private network (Extranet), and/or under internet (Internet) environment, adopt suitable security assurance information mechanism, provide safety controlled and even Extraordinary real time on-line monitoring, the location is reviewed, alarm linkage, dispatch control, program management, Long-distance Control, safety precaution, long-range repair and maintenance, online upgrading, statistical report form, decision support, the management and service functions such as leader's desktop (concentrating the Cockpit Dashboard that shows), realization is integrated to " pipe; control; battalion " of " efficient; energy-conservation; safety; environmental protection " of " all things on earth ".
Summary of the invention
In order to solve the problems referred to above of prior art, the purpose of this invention is to provide a kind of green building facilities and equipment management control system and method based on cloud computing, facilities and equipment management platform that can compatible all different manufacturers, under a unified platform, a lot of objects are concentrated and carry out the facilities and equipment operational management and control, realize to greatest extent operation optimum management, fault precognition and automatically control of networking, thereby realize the optimization configuration of facilities and equipment operational management, reach better operational effect.
To achieve these goals, the invention provides a kind of facilities and equipment management based on cloud computing and control platform, comprise: Internet of Things field control instrument, be used for setting described facilities and equipment normal operational factor, according to the normal operational factor of described facilities and equipment the operational mode of described facilities and equipment is carried out on-the-spot operational management and control, and the normal operational factor of described facilities and equipment is transferred to the management of cloud computing facilities and equipment and control platform; Internet of Things on-site data gathering instrument is used for gathering the actual operation parameters of described facilities and equipment and sends the management of cloud computing facilities and equipment to and the control platform; Cloud computing facilities and equipment management and control platform are used for the actual operation parameters of the described facilities and equipment that collects according to described Internet of Things on-site data gathering instrument and the normal operational factor of the described facilities and equipment set by described Internet of Things field control instrument is adjusted described Internet of Things field control instrument to on-the-spot operational management and the control model of described facilities and equipment.
As preferably, the management of described cloud computing facilities and equipment and control platform specifically comprise: receiving element is used for receiving the normal operational factor of the actual operation parameters of the described facilities and equipment that described Internet of Things on-site data gathering instrument collects and the described facilities and equipment by described Internet of Things field control instrument setting; Whether the first judging unit, the normal operational factor that is used for judging the actual operation parameters of described facilities and equipment and described facilities and equipment mate and generate judged result; The moving model generation unit is used for generating according to the actual operation parameters of the design parameter of each design of architecture parameter, described facilities and equipment and described facilities and equipment when mating when the judged result of described the first judging unit the moving model of corresponding facilities and equipment; Database is used for the history run model of storage facility equipment and the design parameter of each design of architecture parameter, facilities and equipment; Whether the second judging unit, the history run model that is used for judging the facilities and equipment that the moving model of described generation is corresponding with described database mate and generate judged result; The control model adjustment unit is used for judged result when described the first judging unit or described the second judging unit for to adjust described Internet of Things field control instrument when not mating to on-the-spot operational management and the control model of described facilities and equipment.
As preferably, the actual operation parameters of described facilities and equipment comprises pressure, flow, vibration frequency, vibration acceleration, running temperature, wear extent, electric current, voltage, power, rotating speed and slip.
As preferably, the history run model of corresponding facilities and equipment refers to move the history run model of the facilities and equipment that the moving model of constrained parameters and described generation mates in the described database, and described operation constrained parameters comprise a kind of or its combination in applied environment parameter, design parameter, application places type parameter and the actual motion type parameter of each facilities and equipment.There are the various history run models that meet industry standard (design standards, producer's facilities and equipment design parameter etc.) in the database, these history run models have been considered the evaluation criterions such as energy consumption mark post, efficient mark post, performance mark post, and its operational mode is rational comparatively speaking.The constraint of the normal operational factor of the facilities and equipment that the foundation of history run model is set usually, the normal operational factor of the facilities and equipment that sets is different, and corresponding history run model is just different.The applied environment parameter of each facilities and equipment comprises geographic position, meteorologic parameter etc., the design parameter of facilities and equipment comprises design and operation parameter, design power, design efficiency etc., and the application places type parameter of facilities and equipment comprises the classifications such as market, supermarket, hotel, office building, exhibition center, machine room, industrial premises, dwelling house, national grid.The fault parameter of each facilities and equipment refers to the ultimate value of the real time execution parameter that gathers when described facilities and equipment breaks down.Certainly, other operation constrained parameters can also be arranged, such as control model etc.
To achieve these goals, the present invention also provides a kind of facilities and equipment management control method based on cloud computing, comprise: S11: the normal operational factor of the described facilities and equipment of setting according to the user is carried out on-the-spot operational management and control to described facilities and equipment, and sends the normal operational factor that described user sets to the management of cloud computing facilities and equipment and control platform;
S12: gather the actual operation parameters of described facilities and equipment and send the management of cloud computing facilities and equipment to and the control platform;
S13: under cloud computing facilities and equipment management and control platform according to the normal operational factor adjustment of the described facilities and equipment of the actual operation parameters of described facilities and equipment and setting on-the-spot operational management and the control model to each described facilities and equipment.
As preferably, described S13 step specifically comprises:
S131: whether the normal operational factor of the actual operation parameters of the described facilities and equipment that judgement collects and the described facilities and equipment of setting mates; If do not mate, carry out the S135 step, if coupling is carried out the S132 step;
S132: the moving model that generates corresponding facilities and equipment according to the actual operation parameters of the design parameter of each design of architecture parameter, described facilities and equipment and described facilities and equipment;
S133: whether the history run model of corresponding facilities and equipment mates in the moving model of judging described generation and the database; If do not mate, carry out the S135 step; If coupling is carried out the S134 step: keep on-the-spot operational management and control model to each described facilities and equipment;
S135: adjust on-the-spot operational management and control model to each described facilities and equipment.
Further, as preferably, carry out described S134 step after, also comprise the S136 step; The moving model of described generation is joined in the described database.
As preferably, the history run model of corresponding facilities and equipment refers to move the history run model of the facilities and equipment that the moving model of constrained parameters and described generation mates in the described database, and described operation constrained parameters comprise a kind of or its combination in applied environment parameter, design parameter, application places type parameter and the actual motion type parameter of each facilities and equipment.
As preferably, the actual operation parameters of described facilities and equipment comprises pressure, flow, vibration frequency, vibration acceleration, running temperature, wear extent, electric current, voltage, power, rotating speed and slip.
As preferably, the actual operation parameters of described facilities and equipment sends described cloud computing facilities and equipment management and control platform to by in wireless INTERNET net, wired INTERNET net, GPRS, dipper system, GPS, 3G or the 4G net any.
Beneficial effect of the present invention is, by facilities and equipment management and control platform that can compatible all different manufacturers, under a unified platform, control carrying out operational management in a lot of the object sets, realize predicting to greatest extent facilities and equipment fault and networked auto-adjustment control, thereby realize the optimization configuration of facilities and equipment operation conditions, reach better facilities and equipment and administer and maintain effect.
Description of drawings
Fig. 1 is the structural representation based on the green building facilities and equipment management control system of cloud computing of the embodiment of the invention;
Fig. 2 is the process flow diagram based on the green building facilities and equipment management control method of cloud computing of one embodiment of the invention;
Fig. 3 is the process flow diagram based on the green building facilities and equipment management control method of cloud computing of another embodiment of the present invention.
Embodiment
Describe embodiments of the invention in detail below in conjunction with accompanying drawing.
The structural representation based on the green building facilities and equipment management control system of cloud computing of the embodiment of the invention as shown in Figure 1, the structural representation of the green building facilities and equipment management control system based on cloud computing of the present invention comprises:
Internet of Things field control instrument 11 carries out on-the-spot operational management and control for the normal operational factor of the facilities and equipment of setting according to the user to each facilities and equipment 10, and the normal operational factor that will set sends the management of cloud computing facilities and equipment and control platform 13 to; Internet of Things field control instrument 11 comprises customer parameter setup unit 111, and the user can set the normal operational factor of facilities and equipment 10.And when the design parameter of needs input design of architecture parameter or facilities and equipment in the database of the management of the facilities and equipment of cloud computing green building and control platform 13, customer parameter setup unit 111 input design of architecture parameters that can also be by Internet of Things field control instrument 11 and the design parameter of facilities and equipment are such as nameplate information etc.Air-conditioning such as described facilities and equipment, then the user arranges the running status, air quantity parameter, water yield parameter, corresponding spare and accessory parts functional parameter of air-conditioning etc. according to demand, and the normal operational factor that will set sends the management of cloud computing facilities and equipment and control platform 13 to.The Internet of Things field control instrument 11 that the present embodiment adopts is the controllers that utilize the technology of Internet of things research and development, it has unique ip address, can be corresponding one by one with the facilities and equipment at scene, be used for the ruuning situation of the facilities and equipment at scene is carried out analysis and control, and utilize technology of Internet of things to realize the real-time, interactive of the cross-platform and cross-system of data between installations and facilities.
Internet of Things on-site data gathering instrument 12 is used for gathering the actual operation parameters of each facilities and equipment 10 and sends the management of cloud computing facilities and equipment to and control platform 13; The actual operation parameters of facilities and equipment 10 comprises pressure, flow, vibration frequency, vibration acceleration, running temperature, wear extent, electric current, voltage, power, rotating speed and slip.For electrical category equipment, the electric current of motor, voltage, power, rotating speed are the parameters that must measure, to rotatable parts, its vibration acceleration, running temperature, wear extent also need Real-Time Monitoring, and the pressure of liquid, flow and slip also are to need Real-Time Monitoring.These actual operation parameters that the management of cloud computing facilities and equipment and control platform 13 need to monitor judge whether each facilities and equipment is in normal operating conditions, in order to adjust its on-the-spot operational management and control model.
Internet of Things on-site data gathering instrument 12, be generally all kinds of awareness apparatus with network transmission function, and with certain data statistics, data analysis, data gather, the data upload function, finish data acquisition and rough estimates analytic function, its concrete model and actual quantity are to set as required, and a lot of Internet of Things on-site data gathering instrument 12 may be arranged.In the present embodiment, Internet of Things on-site data gathering instrument 12 is the collection in worksite instrument that utilize the technology of Internet of things research and development, has unique ip address.Sensor can be the sensor that various temperature sensors, liquid leak sensor, air flow sensor, torque sensor, speed probe, air velocity transducer, micro-acceleration sensor etc. are used for the operation conditions of measure field facilities and equipment.The actual operation parameters of the facilities and equipment 10 that collects is transferred to the management of cloud computing facilities and equipment and control platform 13 by communication network, and wherein communication network can be wireless INTERNET net, wired INTERNET net, GPRS, dipper system, GPS and 3G net or more advanced transmission network of future generation (4G) etc.
The management of cloud computing facilities and equipment and control platform 13 are used for adjusting described Internet of Things field control instrument to on-the-spot operational management and the control model of described each facilities and equipment according to the actual operation parameters of described each facilities and equipment 10 that collects and the normal operational factor of user's setting.The purpose of adjusting is to realize the optimization configuration of the normal operation of facilities and equipment, and reduce trouble reduces maintenance cost, guarantees that facilities and equipment is in optimal operational condition etc.The management of cloud computing facilities and equipment and the control platform 13 of the present embodiment specifically comprise:
Receiving element 131 is used for the normal operational factor of the facilities and equipment 10 that the actual operation parameters of each facilities and equipment 10 that receiver networking on-site data gathering instrument 12 collects and user set by Internet of Things field control instrument 12;
Whether the first judging unit 132, actual operation parameters that be used for to judge the described facilities and equipment 10 that collects mate with the normal operational factor of the facilities and equipment 10 of user's setting and generate judged result;
Moving model generation unit 133, be used for when the judged result of described the first judging unit 132 when mating, generate corresponding moving model according to the design parameter of the actual operation parameters of described each facilities and equipment 10 and described each design of architecture parameter, described facilities and equipment.
Database 130 is for the history run model of storing various facilities and equipments 10; There is the history run model of the various facilities and equipments that meet industry standard (such as producer's design parameter of design standards, facilities and equipment etc.) in the database and by the files such as related specifications, standard agreement or the optimized operation model admitted, these history run models have been considered the evaluation criterions such as function mark post, efficient mark post, performance mark post, and its running status is the most rational comparatively speaking.
Whether the second judging unit 134, the history run model of the facilities and equipment that the moving model that is used for judging described generation and database 130 are corresponding mate and generate judged result; The foundation of the history run model of facilities and equipment is subject to moving the restriction of constrained parameters usually, and the operation constrained parameters are different, and the history run model of corresponding facilities and equipment is just different.Described operation constrained parameters comprise in applied environment parameter, design parameter, spare and accessory parts design parameter, application places type parameter and the actual motion type parameter of described each facilities and equipment a kind of or its combination and with the combination of other constrained parameters (such as the control Optimizing Mode).The applied environment parameter of each facilities and equipment comprises geographic position, meteorologic parameter etc., design parameter comprises operation conditions, design power, measurement range, design efficiency etc., and the application places type parameter comprises the types such as market, supermarket, hotel, office building, exhibition center, machine room, industrial premises, dwelling house, national grid.The user is by the operation constrained parameters of the moving model of the current generation of operation constrained parameters setup unit 14 inputs, then in database 130, find corresponding history run model (namely moving the history run model of the moving model coupling of constrained parameters and described generation) according to these operation constrained parameters, whether the correlation parameter in the moving model of judgement generation and the normal operation parameter of setting mate again, if it is unreasonable not mate the operation of explanation facilities and equipment, need to adjust.The moving model unit interval facilities and equipment vibration acceleration that for example generates requires 1000g, (unit is consistent with the unit of acceleration of gravity, be the every quadratic power of rice second), if but be less than or greater than more than 10% of setting value, the running status that then can infer this facilities and equipment is undesired, or resonates, or excessive wear appears in spare and accessory parts, perhaps eccentric etc., need to adjust facilities and equipment.
Control model adjustment unit 135 is used for on-the-spot operational management and control model when the judged result of described the first judging unit 132 or described the second judging unit 134 11 pairs of described each facilities and equipments of adjustment Internet of Things field control instrument when not mating.Do not mate the explanation running status undesirable, need to guarantee that facilities and equipment normally moves to on-the-spot operational management and control model adjustment, until best operating point is realized coupling, thereby the optimization that realizes operation conditions configures.When the judged result of described the first judging unit 132 when not mating, illustrate that operation can't reach the requirement of the target that the user sets, and need to directly adjust; When the judged result of described the second judging unit 134 when not mating, although illustrate that running status can reach the user and set requirement, but also not optimum, do not consider the evaluation criterions such as function mark post, efficient mark post, performance mark post, further optimize running status thereby be necessary to adjust.When if the judged result of described the second judging unit 134 is coupling, illustrate that the moving model that generates is reasonably satisfactory, then will join in the described database through the moving model of described generation after adjusting, enrich historical data, for follow-up operation management and control provide reference.
Certainly, the control model that cloud computing facilities and equipment management and 13 pairs of Internet of Things field controls of control platform instrument 11 are controlled has a variety of, and above-described embodiment has only provided wherein a kind of.
Easy to use for the user, the green building facilities and equipment management control system based on cloud computing of the present embodiment can be made intuitively display interface, and the user only need to manage and control by display interface and get final product.
The advantage of using the management of cloud computing facilities and equipment and control platform to carry out the facilities and equipment management and controlling is fairly obvious, the scale of cloud computing and the characteristics of extensibility so that ultra-large energy consumption centralized control can realize, can realize theoretically management and the control of the facilities and equipment of any kind in the global range, comprise the operational management and control etc. of all kinds of electromechanical facility equipment in the building, range of application is wider; The virtualized characteristics of cloud computing are so that each user carries out the facilities and equipment operational management and when control need not to configure separately independently operational management and control platform, but obtain as required in " cloud ", greatly reduce cost; The characteristics of the resource sharing of cloud computing can be mated best historical data as a reference so that the interior historical data of whole control platform is very abundant, thereby realize the optimization configuration of facilities and equipment operation.Facilities and equipment management and the control platform of the present invention by can compatible all different manufacturers, under a unified platform, control carrying out operational management in a lot of the object sets, realize predicting to greatest extent facilities and equipment fault and networked auto-adjustment control, thereby realize the optimization configuration of facilities and equipment operation conditions, reach better facilities and equipment and administer and maintain effect.
It is as follows that the green building facilities and equipment management control system based on cloud computing of the present embodiment manages control procedure to it:
One, finishes detecting sensor and data message login work by the field type facility mechanical floor
Field type facility mechanical floor: comprise Internet of Things on-site data gathering instrument 12 (generally being various kinds of sensors) and Internet of Things field control instrument 11 with unique ip address, Internet of Things on-site data gathering instrument 12 is mainly finished the collection of various types of signal, and Internet of Things field control instrument 11 mainly carries out on-the-spot operational management and control to corresponding facilities and equipment.
All signals by switch of internet of things (switch of internet of things definition---utilize technology of Internet of things that the electric signal of routine is changed into the TCP/IP signal, directly realize that conventional electric signal sensor also can cross-platform interchange signal and data) directly access IP network, be uploaded to collection, storage, the statistics and analysis database of the signal of the management of cloud computing facilities and equipment and control platform by internet (wireless or wired mode all can).
The design parameter of design of architecture parameter and the employed facilities and equipment of building is logined by cloud computing platform, and the information of typing enters collection, storage, statistics, analysis and the model database of the facilities and equipment information of the management of cloud computing facilities and equipment and control platform.
The whole system framework is based on Ethernet (Lan/WLan), adopt ICP/IP protocol, the management of cloud computing facilities and equipment and control platform can pass through OBIX, SNMP, the agreement such as XML and on-the-spot control device equipment are such as Internet of Things field control instrument and the instrument communication of Internet of Things on-site data gathering and obtain data.Mainly obtain following data:
◆ the various detailed status at reference mark, fault, operation etc. data
◆ the warning summary table
◆ the operation conditions of the facilities and equipment that obtains by detections such as flow sensor, speed probe, acceleration transducer, vibration transducers and each spare and accessory parts of facilities and equipment
◆ the design parameter of the facilities and equipment of design of architecture parameter and building
The below does the actual functional capability explanation with handpiece Water Chilling Units operational management common in the building and control mode:
In the operational management of unit required, handpiece Water Chilling Units chilled water in service and chilled water turnover parameter should be in following scopes:
The Inlet and outlet water pressure reduction of chilled water Inlet and outlet water pressure reduction 0.1-0.15Mpa, 4-5 ℃ of the Inlet and outlet water temperature difference, chilled water is between 0.1-0.15Mpa;
4-5 ℃ of the Inlet and outlet water temperature difference of chilled water, chilled water leaving water temperature are less than 47 °F (8.5 ℃), and the cooling water system maximum pressure must not surpass 1.3Mpa, and system's maximum pressure of chilled water must not surpass 0.4Mpa.
After refrigeration machine works well, can collect by different internet of things data acquisition instrument the service data of handpiece Water Chilling Units, and with database in do relatively corresponding and judge whether to meet following normal service requirement:
(1) the fuel tank temperature should be between 140-150 °F, otherwise will do temperature pre-warning, and warning message is shown in the corresponding link of the management of cloud computing facilities and equipment and control platform automatically, and do corresponding adjustment and control by corresponding Internet of Things controller.
(2) bearing return oil temperature should be between 150-175 °F, when the internet of things data acquisition instrument collects bearing return oil temperature when normal, the management of cloud computing facilities and equipment and control platform will send control signal makes corresponding Internet of Things controller with the oil heater stopped heating, when the normal value of the returning-oil temperature region of bearing return oil temperature, the management of cloud computing facilities and equipment and control platform will send control signal makes corresponding Internet of Things controller open corresponding oil heater.
(3) reading that shows of control center's oil pressure gauge, differential pressure should be 138---between the 172kpa.When the internet of things data acquisition instrument collects differential pressure when too small, the management of cloud computing facilities and equipment and control platform then can send differential pressure too small several may with corresponding robotization pipeline and control measure: pipeline is revealed, counter-measure: automatically leakage detection, leak stopping;
The fuel reserve tank low on fuel, counter-measure; Automatic oiling;
Pump speed is excessively low, counter-measure: regulating pump speed increases;
There is water to leak to fuel tank, counter-measure: more to change oil;
Oil quality is excessively poor, counter-measure: change oil.
And when cloud computing facilities and equipment management and control platform judge that Internet of Things oil pressure Acquisition Instrument data are too high, then can send differential pressure excessive several may with corresponding robotization pipeline and control measure:
Line clogging, counter-measure:--automatically connect pipeline;
Fuel reserve tank oil mass overfill, counter-measure:--draining is to rationally automatically;
Pump speed is too high, counter-measure:--regulate pump speed and reduce.
The control of other parameter is similar to the control of oil pressure, after parameter value is through the management of cloud computing facilities and equipment and the judgement of control platform, in case exceed normal range, then directly provide corresponding automatic management and control command by background data base, make on-the-spot Internet of Things controller do corresponding control and adjusting.Wherein, need other parameters by monitoring as follows:
(4) pressure of condenser is different because of the design conditions of its main frame, and scope is generally between 0-76kpa.
(5) leaving water temperature of condenser is in most applicable cases, and water temperature generally must not be lower than 65 °F.
(6) pressure of evaporator is also different because of the design conditions of main frame, its scope generally-51 between-18hg the vacuum tightness.
(7) inflow temperature of evaporator must not be higher than 32 ℃, forbids being higher than 38 ℃, and leaving water temperature is different because of the design conditions of main frame, and " comfortableness " air-conditioning water temperature generally is set in 9--7 ℃, must not be lower than 5 ℃, evaporating temperature 5-2 ℃, must not be lower than 0 ℃.
(8) the numerical value of solidifying deaerator pressure should be in half part of evaporator and condenser pressure.
Other security safeguard measures; protectiveness is shut down: after the data of Internet of Things on-site data gathering instrument are through the management of cloud computing facilities and equipment and control Platform Analysis, when find that refrigeration unit emerged in operation evaporating pressure is excessively low, the fuel tank oil pressure is crossed, the chilled water leaving water temperature is excessively low, brownout, chilled water lack of water, chilled water lack of water, the faults such as main motor temperature is too high, condensing pressure is too high, excessive discharge temperature, the management of cloud computing facilities and equipment and control platform all can do by network and report to the police and give an order and realize auto stop to on-the-spot Internet of Things controller.After fault was automatically processed and eliminated, start just can reset.
In addition, the data when breaking down enter the historical data base model simultaneously, as analyze reference value next time.
Two, realize the analysis of data and relevant control by control with analysis layer
Other controller of field level is realized other control of field level according to detection signal and user's goal-setting parameter to corresponding facilities and equipment at the scene, and various types of signal is uploaded to collection, storage, the statistics and analysis database of the facilities and equipment information of the management of cloud computing facilities and equipment and control platform.
The model algorithm kind of the management of cloud computing facilities and equipment and control platform cloud computing facilities and equipment management and control platform has a variety of, mainly be divided into regular algorithm and Event triggered algorithm, wherein regularly algorithm comprises: algebraic manipulation, total value are calculated, facilities and equipment working time, boolean Boolean computing, Data Integration, piecewise linear function, maximum and minimum value record etc., and the Event triggered algorithm comprises: form task and presented event, site groups group control, zone or cohort are reported to the police, the warning of unitized construction etc.According to concrete needs selection algorithm, set up the control model during use.
The process flow diagram based on the green building facilities and equipment management control method of cloud computing of one embodiment of the invention as shown in Figure 2, the method comprises:
S11: the normal operational factor of the facilities and equipment of setting according to the user is carried out on-the-spot operational management and control to each facilities and equipment, and sending the normal operational factor that described user sets to the management of cloud computing facilities and equipment and control platform, described normal operational factor is set by Internet of Things field control instrument.
S12: gather the actual operation parameters of described each facilities and equipment and send the management of cloud computing facilities and equipment to and the control platform; Wherein, described actual operation parameters is often referred to the directly real time execution parameter of each facilities and equipment of collection of various kinds of sensors, comprises pressure, flow, vibration frequency, vibration acceleration, running temperature, wear extent, electric current, voltage, power, rotating speed and slip etc.During the actual operation parameters of described each facilities and equipment is netted by wireless INTERNET net, wired INTERNET net, GPRS, 3G and 4G any sends the management of cloud computing facilities and equipment and control platform to.
S13: execute under management and the control platform the normal operational factor adjustment of A set according to the actual operation parameters of described each facilities and equipment that collects and user at the cloud computing green building to on-the-spot operational management and the control model of described each facilities and equipment.
Owing to having used the management of cloud computing facilities and equipment and control platform to carry out running status management control, the scale of cloud computing and the characteristics of extensibility so that ultra-large energy consumption centralized control can realize, can realize theoretically the facilities and equipment management control of any kind in the global range, comprise Architectural Equipment equipment operation management control etc., range of application is wider; The virtualized characteristics of cloud computing need not to configure separately independently facility facilities and equipment management and control platform so that each user carries out operational management when control, but obtain as required in " cloud ", greatly reduce cost; The characteristics of the resource sharing of cloud computing can be mated best historical data as a reference so that the interior historical data of whole control platform is very abundant, thereby realize the optimization configuration of the energy.
The process flow diagram based on the green building facilities and equipment management control method of cloud computing of another embodiment of the present invention as shown in Figure 3, the method is on the basis of operational management control method based on cloud computing shown in Figure 2, and described S13 step specifically comprises:
S131: judge whether the actual operation parameters of the described facilities and equipment that collects and the normal operational factor that described user sets mate; If do not mate, carry out the S135 step, if coupling is carried out the S132 step;
S132: the moving model that generates corresponding facilities and equipment according to the actual operation parameters of the design parameter of each design of architecture parameter, described facilities and equipment and described facilities and equipment;
S133: whether the history run model of corresponding facilities and equipment mates in the moving model of judging described generation and the database; If do not mate, carry out the S135 step; If coupling is carried out the S134 step: keep on-the-spot operational management and control model to each described facilities and equipment; The history run model of corresponding facilities and equipment refers to move the history run model of the facilities and equipment that the moving model of constrained parameters and described generation mates in the described database, and described operation constrained parameters comprise a kind of or its combination in applied environment parameter, design parameter, application places type parameter and the actual motion type parameter of described each facilities and equipment.
S135: adjust on-the-spot operational management and control model to described each facilities and equipment.
After carrying out described S134 step, also comprise the S136 step, will generate according to the actual operation parameters of described facilities and equipment corresponding moving model and join in the database, enrich historical data, for follow-up management control provides reference.
More detailed introduction please refer to the statement among above-mentioned facilities and equipment management based on cloud computing and the control platform embodiment.
The method of the present embodiment is on the basis of green building facilities and equipment management control method based on cloud computing shown in Figure 2, specifically provided a kind of under the green building facilities and equipment management control system based on cloud computing, how to adjust described Internet of Things field control instrument to described each the on-the-spot operational management of facilities and equipment and the method for control model, it takes full advantage of the abundant characteristics of historical data of cloud computing green building facilities and equipment management control system, has further optimized moving model.
Above embodiment is exemplary embodiment of the present invention only, is not used in restriction the present invention, and protection scope of the present invention is limited by additional claims.Those skilled in the art can make various modifications or be equal to replacement the present invention in essence of the present invention and protection domain, this modification or be equal to replacement and also should be considered as dropping in protection scope of the present invention.
Claims (10)
1. the green building facilities and equipment management control system based on cloud computing is characterized in that, comprising:
Internet of Things field control instrument, be used for setting described facilities and equipment normal operational factor, according to the normal operational factor of described facilities and equipment the operational mode of described facilities and equipment is carried out on-the-spot operational management and control, and the normal operational factor of described facilities and equipment is transferred to the management of cloud computing facilities and equipment and control platform;
Internet of Things on-site data gathering instrument is used for gathering the actual operation parameters of described facilities and equipment and sends the management of cloud computing facilities and equipment to and the control platform;
Cloud computing facilities and equipment management and control platform are used for the actual operation parameters of the described facilities and equipment that collects according to described Internet of Things on-site data gathering instrument and the normal operational factor of the described facilities and equipment set by described Internet of Things field control instrument is adjusted described Internet of Things field control instrument to on-the-spot operational management and the control model of described facilities and equipment.
2. the green building facilities and equipment management control system based on cloud computing according to claim 1 is characterized in that, described cloud computing facilities and equipment management and control platform specifically comprise:
Receiving element is used for receiving the normal operational factor of the actual operation parameters of the described facilities and equipment that described Internet of Things on-site data gathering instrument collects and the described facilities and equipment by described Internet of Things field control instrument setting;
Whether the first judging unit, the normal operational factor that is used for judging the actual operation parameters of described facilities and equipment and described facilities and equipment mate and generate judged result;
The moving model generation unit is used for generating according to the actual operation parameters of the design parameter of each design of architecture parameter, described facilities and equipment and described facilities and equipment when mating when the judged result of described the first judging unit the moving model of corresponding facilities and equipment;
Database is used for the history run model of storage facility equipment and the design parameter of each design of architecture parameter, facilities and equipment;
Whether the second judging unit, the history run model that is used for judging the facilities and equipment that the moving model of described generation is corresponding with described database mate and generate judged result;
The control model adjustment unit is used for judged result when described the first judging unit or described the second judging unit for to adjust described Internet of Things field control instrument when not mating to on-the-spot operational management and the control model of described facilities and equipment.
3. the green building facilities and equipment management control system based on cloud computing according to claim 1 and 2, it is characterized in that, the actual operation parameters of described facilities and equipment comprises pressure, flow, vibration frequency, vibration acceleration, running temperature, wear extent, electric current, voltage, power, rotating speed and slip.
4. the green building facilities and equipment management control system based on cloud computing according to claim 2, it is characterized in that, the history run model of corresponding facilities and equipment refers to move the history run model of the facilities and equipment that the moving model of constrained parameters and described generation mates in the described database, and described operation constrained parameters comprise a kind of or its combination in applied environment parameter, design parameter, application places type parameter and the actual motion type parameter of each facilities and equipment.
5. the green building facilities and equipment management control method based on cloud computing is characterized in that, comprising:
S11: the normal operational factor of the described facilities and equipment of setting according to the user is carried out on-the-spot operational management and control to described facilities and equipment, and sends the normal operational factor that described user sets to the management of cloud computing facilities and equipment and control platform;
S12: gather the actual operation parameters of described facilities and equipment and send the management of cloud computing facilities and equipment to and the control platform;
S13: under cloud computing facilities and equipment management and control platform according to the normal operational factor adjustment of the described facilities and equipment of the actual operation parameters of described facilities and equipment and setting on-the-spot operational management and the control model to each described facilities and equipment.
6. the green building facilities and equipment management control method based on cloud computing according to claim 5 is characterized in that, described S13 step specifically comprises:
S131: whether the normal operational factor of the actual operation parameters of the described facilities and equipment that judgement collects and the described facilities and equipment of setting mates; If do not mate, carry out the S135 step, if coupling is carried out the S132 step;
S132: the moving model that generates corresponding facilities and equipment according to the actual operation parameters of the design parameter of each design of architecture parameter, described facilities and equipment and described facilities and equipment;
S133: whether the history run model of corresponding facilities and equipment mates in the moving model of judging described generation and the database; If do not mate, carry out the S135 step; If coupling is carried out the S134 step: keep on-the-spot operational management and control model to each described facilities and equipment;
S135: adjust on-the-spot operational management and control model to each described facilities and equipment.
7. the green building facilities and equipment management control method based on cloud computing according to claim 6 is characterized in that, carry out described S134 step after, also comprise the S136 step: the moving model of described generation is joined in the described database.
8. according to claim 6 the green building facilities and equipment management control method based on cloud computing, it is characterized in that, the history run model of corresponding facilities and equipment refers to move the history run model of the facilities and equipment that the moving model of constrained parameters and described generation mates in the described database, and described operation constrained parameters comprise a kind of or its combination in applied environment parameter, design parameter, application places type parameter and the actual motion type parameter of each facilities and equipment.
9. according to claim 5 or 6 the green building facilities and equipment management control method based on cloud computing, it is characterized in that, the actual operation parameters of described facilities and equipment comprises pressure, flow, vibration frequency, vibration acceleration, running temperature, wear extent, electric current, voltage, power, rotating speed and slip.
10. according to claim 5 or 6 described green building facilities and equipment management control methods based on cloud computing, it is characterized in that, any during the actual operation parameters of described facilities and equipment is netted by wireless INTERNET net, wired INTERNET net, GPRS, dipper system, GPS, 3G, 4G sends described cloud computing facilities and equipment management and control platform to.
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| CN2011102801157A CN103019158A (en) | 2011-09-20 | 2011-09-20 | System and method for managing and controlling green building facilities and equipment based on cloud computing |
| PCT/CN2012/001125 WO2013040855A1 (en) | 2011-09-20 | 2012-08-22 | Cloud computing-based system and method for management and control of facility and equipment of green building |
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