CN103016171A - System and method for managing and controlling generator set based on cloud computing - Google Patents
System and method for managing and controlling generator set based on cloud computing Download PDFInfo
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- CN103016171A CN103016171A CN2011102800953A CN201110280095A CN103016171A CN 103016171 A CN103016171 A CN 103016171A CN 2011102800953 A CN2011102800953 A CN 2011102800953A CN 201110280095 A CN201110280095 A CN 201110280095A CN 103016171 A CN103016171 A CN 103016171A
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- 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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Abstract
The invention discloses a system and a method for managing and controlling a generator set based on cloud computing. The system comprises an Internet-of-Things site controller, an Internet-of-Things site data collector and a management and control platform for cloud computing equipment, wherein the Internet-of-Things site controller is used for setting the normal running parameter of the generator set and managing and controlling the running mode of the generator set according to the normal running parameter; the Internet-of-Things site data collector is used for collecting the actual running parameter of the generator set; and the management and control platform for the cloud computing equipment is used for adjusting the management and control mode of the Internet-of-Things site controller according to the actual running parameter and the normal running parameter of the generator set. The method is realized through the utilization of the system. The system and the method can be compatible with generator set management and control platforms from different factories and can manage and control multiple objects under unified platform in a concentrated way, thereby realizing optimum configuration on the running state of the equipment.
Description
Technical field
The present invention relates to generator set management control technique field, relate in particular to a kind of generator set management control system and method based on cloud computing.
Background technique
Along with the emergent and small power generation unit (such as diesel generating set and gasoline engine generator group) in the worldwide is more and more, more and more important to the management control of various generator set.
Generator set management control system of the prior art, mostly just adopt analytical equipment quantity, the nameplate information of equipment, the means such as the maintenance log of equipment, various device is done a simple information to gather, and can not use automation means Real-time Collection 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 Limits, particularly can not accomplish simultaneously each equipment of many generator set to be done service data and design parameter comparative analysis, can't investigate and predict in advance the time of occurrence node of equipment failure, and fault the extent of injury that equipment is caused.
The inventor finds that also also there is following problem in the generator set management control software of prior art:
1, system runs into the problem that processing rate is not rapid, data protection can't realize when processing a large amount of historical data;
2, system does not carry out comprehensive equipment and component service data statistics, analyzes and management control from aspects such as design factor, Environmental Conditions, use habit, personal 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 operation control mode according to statistics, thus optimization configuration that can't the operation of realization equipment.
3, can not realize that all generator set facilities are 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 function requirement.
Cloud computing is the network technique that grew up in recent years, and it is that calculation task is distributed on the resource pool of a large amount of computers formations, so that various application system can be obtained computing power, storage space and various software service as required.Each numerous and confused platform service based on cloud computing of releasing oneself of large IT company, such as Google (GOOGLE), Microsoft, Yahoo, Amazon (Amazon) etc., sum up cloud computing and have following characteristics:
(1) ultra-large." cloud " has suitable scale, and Googl e 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 capability.
(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, and it is more reliable than using local computer to use cloud computing.
(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 look like 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 automation centralized management of " cloud " makes a large amount of enterprises need not to bear day by day high records center's administration cost, the versatility of " cloud " makes the utilization ratio 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 company, 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 technique of expansion; Its user side extends and has expanded between any article and the article, carries out information exchange and communication; Therefore, the definition of technology of Internet of things is: by information sensing equipment such as RF identification (RFID), infrared inductor, global positioning system, laser scanners, agreement by agreement, any article are connected with the internet, carry out information exchange and communication, to realize a kind of network technique 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 ", mobile terminal, industrial system, numerical 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, telecontrol, 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 generator set management control system and method based on cloud computing, generator set management console that can compatible all different manufacturers, under a unified platform, control carrying out equipment operation management in a lot of the object sets, realize to greatest extent operation optimum management, fault precognition and automatically control of networking, thereby realize the optimization configuration of operation conditions, reach better operational effect.
To achieve these goals, the invention provides a kind of generator set management control system based on cloud computing, comprising:
The Internet of Things field controller, be used for setting the normal Operational Limits of described generator set and manage and control according to the normal Operational Limits of the described generator set operating mode to described generator set, and the normal Operational Limits of described generator set is transferred to cloud computing equipment management and control platform;
Internet of Things on-site data gathering device is used for gathering the actual operation parameters of described generator set and sends the cloud computing equipment management to and the control platform;
Cloud computing equipment management and control platform are used for management and the control mode of adjusting described Internet of Things field controller according to actual operation parameters and the normal Operational Limits of described generator set.
As preferably, described cloud computing equipment management and control platform specifically comprise:
Receiving element is used for receiving the normal Operational Limits of the actual operation parameters of the described generator set that described Internet of Things on-site data gathering device collects and the described generator set by described Internet of Things field controller setting;
Whether the first judging unit, the actual operation parameters that is used for judging described generator set mate with normal Operational Limits and generate judged result;
The moving model generation unit, the actual operation parameters according to described generator set when being coupling for the judged result when described the first judging unit generates corresponding moving model;
The moving model database is for the various history run models of storing described generator set;
Whether the second judging unit, the moving model history run model corresponding with described moving model database that is used for judging described generation mate and generate judged result;
The control mode regulation 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 controller when not mating to management and the control mode of described generator set.
As preferably, the actual operation parameters of described generator set comprises real time execution parameter and security parameter.Wherein, the real time execution parameter is often referred to the parameters relevant with the actual motion of equipment such as the direct temperature that gathers of Internet of Things on-site data gathering device, humidity, air quantity, working time, frequency, such as: the fuel flow of described generator set, motor speed, pressure, leak of liquid rate, vibration acceleration, Motor torque and generated energy etc.; Security parameter comprises each device-dependent parameter in the situations such as fault and warning, such as: the protective current of described generator set, protection voltage, protection power and safe speed of rotation etc.
As preferably, corresponding history run model refers to the history run model that the moving model of operation conditions constrained parameters and described generation mates in the described moving model database, and described operation conditions 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 generator set.There are the various history run models that meet industry standard (design standard, producer's device design parameter etc.) in the moving model 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 operating mode is the most rational comparatively speaking.The foundation of history run model is subject to the restriction of the operation conditions constrained parameters of described generator set usually, and the operation conditions constrained parameters are different, and corresponding history run model is just different.The applied environment parameter of each equipment comprises geographical position, meteorologic parameter etc., the design parameter of equipment comprises design and operation parameter, design power, measuring range, design efficiency etc., and the application places type parameter of equipment comprises the classifications such as market, supermarket, hotel, office building, Exhibition hall, machine room, industrial premises, dwelling house, national grid.Certainly, other operation conditions constrained parameters can also be arranged, such as control mode etc.
To achieve these goals, the present invention also provides a kind of generator set management control method based on cloud computing, comprising:
S11: manage and control according to the normal Operational Limits of the described generator set of the setting operating mode to described generator set, and the normal Operational Limits of described generator set is transferred to cloud computing equipment management and control platform;
S12: gather the actual operation parameters of described generator set and send the cloud computing equipment management to and the control platform;
S13: under cloud computing equipment management and control platform according to the actual operation parameters of described generator set and normal Operational Limits adjustment management and the control mode to described generator set.
As preferably, described S13 step specifically comprises:
S131: judge whether the actual operation parameters of described generator set and normal Operational Limits mate; If do not mate, carry out the S135 step, if coupling is carried out the S132 step;
S132: the actual operation parameters according to described generator set generates corresponding moving model;
S133: whether history run model corresponding in the moving model of judging described generation and the moving model database mates; If do not mate, carry out the S135 step, if coupling is carried out the S134 step;
S134: keep management and control mode to described generator set;
S135: adjust management and control mode to described generator set.
As preferred further, carry out described S134 step after, also comprise the S136 step, the moving model of described generation is joined in the described moving model database.
As preferably, corresponding history run model refers to the history run model that the moving model of operation conditions constrained parameters and described generation mates in the described moving model database, and described operation conditions 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 generator set.
As preferably, the actual operation parameters of described generator set comprises real time execution parameter and security parameter.Wherein, the real time execution parameter is often referred to the parameters relevant with the actual motion of equipment such as the direct temperature that gathers of Internet of Things on-site data gathering device, humidity, air quantity, working time, frequency, such as: the fuel flow of described generator set, motor speed, pressure, leak of liquid rate, vibration acceleration, Motor torque and generated energy etc.; Security parameter comprises each device-dependent parameter in the situations such as fault and warning, such as: the protective current of described generator set, protection voltage, protection power and safe speed of rotation etc.
As preferably, the normal Operational Limits of described generator set and actual operation parameters all send cloud computing equipment management and control platform to by in wireless INTERNET net, wired INTERNET net, GPRS, dipper system, GPS, 3G, the 4G net any.
Compared with prior art, beneficial effect of the present invention is, generator set management control system provided by the invention and method can compatible all different manufacturers the generator set management console, under a unified platform, control carrying out operation management in a lot of the object sets, realize predicting to greatest extent equipment failure and networked auto-adjustment control, thereby realize the optimization configuration of equipment operation condition, reach better equipment control and maintenance effects.
Description of drawings
Fig. 1 is the structural representation based on the generator set management control system of cloud computing of the embodiment of the invention;
Fig. 2 is the flow chart based on the generator set management control method of cloud computing of one embodiment of the invention;
Fig. 3 is the flow chart based on the generator set 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 generator set management control system of cloud computing of the embodiment of the invention as shown in Figure 1 comprises based on the generator set management control system of cloud computing:
Internet of Things field controller 11, be used for to set the normal Operational Limits of generator set 10 and manage and control according to the normal Operational Limits of generator set 10 operating mode to generator set 10, and the normal Operational Limits of generator set 10 is transferred to cloud computing equipment management and control platform 13; Internet of Things field controller 11 comprises customer parameter setup unit 111, and it is used for setting the normal Operational Limits of generator set 10, and management and the control mode of adjusting 11 pairs of generator set 10 of Internet of Things field controller; Internet of Things field controller 11 commonly used comprises generator set controller, unit frequency-conversion device, unit load adjustment controller, unit electric power cabinet, fuel delivery Correction and Control device, unit and motor oscillating Correction and Control device, operating states of the units autographic recoder, unit operation trouble recorder and units consumption recorder etc.The Internet of Things field controller 11 that present embodiment adopts is the controllers that utilize the technology of Internet of things research and development, it is the generator set Operational Data Analysis controller with unique ip address, with generator set 10 can be corresponding one by one, 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.The normal Operational Limits of setting by Internet of Things field controller 11 is transferred to cloud computing equipment management and control platform 13 by communication network, and wherein said communication network can be wireless INTERNET net, wired INTERNET net, dipper system, GPS, 3G, 4G net or more advanced transmission network of future generation etc.
Internet of Things on-site data gathering device 12 is used for gathering the actual operation parameters of generator set 10 and sends the cloud computing equipment management to and control platform 13; The actual operation parameters of generator set 10 comprises real time execution parameter and security parameter.Wherein, the real time execution parameter is often referred to the parameters relevant with the actual motion of generator set 10 such as the Internet of Things on-site data gathering device 12 direct temperature that gather, humidity, air quantity, working time, frequency, such as: the fuel flow of generator set 10, motor speed, pressure, leak of liquid rate, vibration acceleration, Motor torque and generated energy etc.; Security parameter comprises in the situations such as fault and warning the parameter that each is relevant with generator set 10, such as: the protective current of generator set 10, protection voltage, protection power and safe speed of rotation etc.Internet of Things on-site data gathering device 12 is general by all kinds of sensors with network transmission function, data statistics with gather unit, data analysis and uploading unit etc. and form, finish data acquisition and rough estimates analytic function, its actual quantity is to set as required, and a lot of Internet of Things on-site data gathering devices 12 may be arranged.The Internet of Things on-site data gathering device 12 that present embodiment adopts is the data acquisition units that utilize technology of Internet of things research and development, is the generator set actual operating data collector with unique ip address, with generator set 10 can be corresponding one by one.Internet of Things on-site data gathering device 12 can be various fuel quantity sensors, motor speed sensor, pressure transducer, leak of liquid detector, acceleration transducer, Motor torque sensor, shaft seal leakage of oil and leakage sensor and electric quantity acquisition instrument etc.The actual operation parameters of the generator set 10 that Internet of Things on-site data gathering device 12 collects is transferred to cloud computing equipment management and control platform 13 by communication network, and wherein said communication network can be wireless INTERNET net, wired INTERNET net, dipper system, GPS, 3G, 4G net or more advanced transmission network of future generation etc.
Cloud computing equipment management and control platform 13 are used for management and the control mode of adjusting described Internet of Things field controller 11 according to actual operation parameters and the normal Operational Limits of described generator set 10.The purpose of adjusting is to realize the optimization configuration of generator set 10, and reduce trouble reduces maintenance cost, and the equipment of assurance is in optimal operational condition etc.Cloud computing equipment management and the control platform 13 of present embodiment specifically comprise:
Receiving element 131 is used for the actual operation parameters of the generator set 10 that receiver networking on-site data gathering device 12 collects and the normal Operational Limits of the generator set 10 set by Internet of Things field controller 11;
Whether the first judging unit 132, the normal Operational Limits that is used for judging the generator set 10 of the actual operation parameters of the described generator set that collects 10 and described setting mate and generate judged result;
Moving model generation unit 133, the actual operation parameters according to the described generator set that collects 10 when being coupling for the judged result when the first judging unit 132 generates corresponding moving model; Moving model comprises the indexs such as whole operating mode and operating conditions.
Moving model database 130 is for the various history run models of storage generator set 10; There are the various generator set history run model of industry standard (design standard, producer's device design parameter etc.) and the optimized operation state models of being arranged or admitting by files such as related specifications, standards of meeting in the moving model database 130, these history run models have been considered the evaluation criterions such as function mark post, efficient mark post, performance mark post, and its running state is the most rational comparatively speaking.
Whether the second judging unit 134, the moving model history run model corresponding with the moving model database that is used for judging described generation mate and generate judged result; The foundation of generator set history run model is subject to the restriction of operation conditions constrained parameters usually, and the operation conditions constrained parameters are different, and corresponding generator set history run model is just different.Described operation conditions constrained parameters comprise in the applied environment parameter, design parameter, Component design parameter, application places type parameter of described each 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 equipment comprises geographical position, meteorologic parameter etc., design parameter comprises operation conditions, design power, measuring range, design efficiency etc., and the application places type parameter comprises the types such as market, supermarket, hotel, office building, Exhibition hall, machine room, industrial premises, dwelling house, national grid.The user is by the operation conditions constrained parameters of the moving model of the current generation of operation conditions constrained parameters setup unit 14 inputs, then in generator set moving model database 130, find corresponding history run model (being the history run model of the moving model coupling of operation conditions constrained parameters and described generation) according to these operation conditions constrained parameters, whether the moving model that judge to generate again mates with corresponding history run model, if it is unreasonable not mate the devices illustrated operation, need to adjust.The moving model unit time vibration equipment acceleration that for example generates requires 1000g (per second square), if but be less than or greater than more than 10% of setting value, the running state that then can infer this equipment is undesired, resonate, excessive wear appears in Component, perhaps eccentric etc., need to adjust equipment.
Control mode regulation unit 135 is used for management and control mode when the judged result of the first judging unit 132 or the second judging unit 134 11 pairs of generator set 10 of adjustment Internet of Things field controller when not mating.It is undesirable not mate explanation operation, need to adjust with assurance equipment management and control mode and normally move, until best operating point is realized coupling, thereby the optimization that realizes operation conditions disposes.When the judged result of the first judging unit 132 when not mating, illustrate that operation conditions can't reach the requirement that the user sets, and need to directly adjust; When the judged result of the second judging unit 134 when not mating, although illustrate that operation conditions 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 state thereby be necessary to adjust.When if the judged result of the second judging unit 134 is coupling, illustrate that the moving model that generates is reasonably satisfactory, then the moving model with described generation joins in the moving model database 130, enriches historical data, for the control of follow-up operation situation management provides reference.
Certainly, the management of cloud computing equipment management and 13 pairs of Internet of Things field controllers 11 of control platform and control mode have a variety of, and above-described embodiment has only provided wherein a kind of.
Easy to use for the user, the generator set management control system based on cloud computing of present embodiment can be made intuitively display interface, and the user only need to manage control by display interface and get final product.
When generator set 10 (such as Emergency generator) works, the fuel tank temperature should remain between 140-150 °F, otherwise cloud computing equipment management and control platform 13 will be done temperature pre-warning, warning message is shown in the corresponding link of cloud computing equipment management and control platform 13 automatically, and the Internet of Things field controller 11 of control relevant device is done corresponding temperature regulation and control; Bearing return oil temperature should remain between 150-175 °F, when Internet of Things on-site data gathering device 12 collects bearing return oil temperature when normal, cloud computing equipment management and control platform 13 will send control signal makes corresponding Internet of Things field controller 11 with the oil heater stopped heating; The reading that control centre's oil pressure gauge shows, differential pressure should be between 138-172kpa, when Internet of Things on-site data gathering device 12 collects differential pressure when too small, cloud computing equipment management and 13 on platform of control can send differential pressure too small several may with corresponding automatic management and control measure: pipeline is revealed (counter-measure--automatic leakage detection, leak stopping), fuel reserve tank low on fuel (counter-measure--automatic oiling), pump speed excessively low (counter-measure--regulating pump speed increases), there is water to leak to fuel tank (counter-measure--more change oil), oil quality excessively poor (changing oil); And when cloud computing equipment management and control platform 13 judge that data that Internet of Things on-site data gathering devices 12 collect are too high, then can send differential pressure excessive several may with corresponding automation pipeline and control measure: pipeline blockage (counter-measure--automatically connect pipeline), fuel reserve tank oil mass overfill (counter-measure--draining is to rationally automatically), pump speed too high (counter-measure--regulate pump speed and reduce) etc.
It is fairly obvious to use cloud computing equipment management and control platform 13 to carry out the advantage of equipment control control, the scale of cloud computing and the characteristics of extensibility so that ultra-large operation conditions centralized control can realize, can realize theoretically the management control of the generator set of any kind in the global range, application area is wider; The virtualized characteristics of cloud computing need not to dispose separately independently operation state management control platform so that each user carries out operation state 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 flow chart based on the generator set management control method of cloud computing of one embodiment of the invention as shown in Figure 2, the method comprises:
S11: manage and control according to the normal Operational Limits of the described generator set of the setting operating mode to described generator set, and the normal Operational Limits of described generator set is transferred to cloud computing equipment management and control platform; The normal Operational Limits of setting is transferred to cloud computing equipment management and control platform by communication network, and wherein said communication network can be wireless INTERNET net, wired INTERNET net, dipper system, GPS, 3G, 4G net or more advanced transmission network of future generation etc.
S12: gather the actual operation parameters of described generator set and send the cloud computing equipment management to and the control platform; The actual operation parameters of described generator set comprises real time execution parameter and security parameter.Wherein, the real time execution parameter is often referred to the parameters relevant with the actual motion of generator set such as the temperature, humidity, air quantity, working time, frequency of direct collection, such as: fuel flow, motor speed, pressure, leak of liquid rate, vibration acceleration, Motor torque and generated energy etc.; Security parameter comprises each parameter relevant with generator set in the situations such as fault and warning, such as: the protective current of generator set, protection voltage, protection power and safe speed of rotation etc.General adopt by all kinds of sensors with network transmission function, data statistics and gather the Internet of Things on-site data gathering device that unit, data analysis and uploading unit etc. form actual operation parameters is gathered, the actual quantity of described Internet of Things on-site data gathering device is to set as required, such as fuel quantity sensor, motor speed sensor, pressure transducer, leak of liquid detector, acceleration transducer, Motor torque sensor, shaft seal leakage of oil and leakage sensor and electric quantity acquisition instrument etc.The actual operation parameters of the generator set that collects is transferred to cloud computing equipment management and control platform by communication network, and wherein communication network can be wireless INTERNET net, wired INTERNET net, dipper system, GPS, 3G, 4G net or more advanced transmission network of future generation etc.
S13: under cloud computing equipment management and control platform according to the actual operation parameters of described generator set and normal Operational Limits adjustment management and the control mode to described generator set.
Owing to used cloud computing equipment management and control platform that the operation conditions of generator set is managed and controls, the scale of cloud computing and the characteristics of extensibility so that ultra-large operation conditions centralized control can realize, can realize theoretically the management control of the generator set of any kind in the global range, application area is wider; The virtualized characteristics of cloud computing need not to dispose separately independently operation state management control platform so that each user carries out operation state 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 operation conditions.
The flow chart based on the generator set 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 generator set 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 described generator set and normal Operational Limits mate; If do not mate, carry out the S135 step, if coupling is carried out the S132 step;
S132: the actual operation parameters according to described generator set generates corresponding moving model;
S133: whether history run model corresponding in the moving model of judging described generation and the moving model database mates; If do not mate, carry out the S135 step, if coupling is carried out the S134 step;
S134: keep management and control mode to described generator set;
S135: adjust management and control mode to described generator set.
As a kind of preferred version of present embodiment, carry out described S134 step after, also comprise the S136 step, the moving model of described generation is joined in the described moving model database, enrich historical data, for the control of follow-up operation situation management provides reference.
More detailed introduction please refer to above-mentioned based on the statement among the generator set management control system embodiment of cloud computing.
Corresponding history run model refers to the history run model that the moving model of operation conditions constrained parameters and described generation mates in the described moving model database, and described operation conditions 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 generator set.There are the various history run models that meet industry standard (design standard, producer's device design parameter etc.) in the moving model 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 operating mode is the most rational comparatively speaking.The foundation of history run model is subject to the restriction of the operation conditions constrained parameters of described generator set usually, and the operation conditions constrained parameters are different, and corresponding history run model is just different.The applied environment parameter of each equipment comprises geographical position, meteorologic parameter etc., the design parameter of equipment comprises design and operation parameter, design power, measuring range, design efficiency etc., and the application places type parameter of equipment comprises the classifications such as market, supermarket, hotel, office building, Exhibition hall, machine room, industrial premises, dwelling house, national grid.Certainly, other operation conditions constrained parameters can also be arranged, such as control mode etc.
During the actual operation parameters of described generator set is netted by wireless INTERNET net, wired INTERNET net, dipper system, GPS, 3G, 4G any sends cloud computing equipment management and control platform to.
The method of present embodiment is on the basis of generator set management control method based on cloud computing shown in Figure 2, specifically provided and a kind ofly under cloud computing equipment management and control platform, how to have adjusted the management of described Internet of Things field controller and the method for control mode, it takes full advantage of cloud computing equipment management and the abundant characteristics of control platform historical data, 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 generator set management control system based on cloud computing is characterized in that, comprising:
The Internet of Things field controller, be used for setting the normal Operational Limits of described generator set and manage and control according to the normal Operational Limits of the described generator set operating mode to described generator set, and the normal Operational Limits of described generator set is transferred to cloud computing equipment management and control platform;
Internet of Things on-site data gathering device is used for gathering the actual operation parameters of described generator set and sends the cloud computing equipment management to and the control platform;
Cloud computing equipment management and control platform are used for management and the control mode of adjusting described Internet of Things field controller according to actual operation parameters and the normal Operational Limits of described generator set.
2. the generator set management control system based on cloud computing according to claim 1 is characterized in that, described cloud computing equipment management and control platform specifically comprise:
Receiving element is used for receiving the normal Operational Limits of the actual operation parameters of the described generator set that described Internet of Things on-site data gathering device collects and the described generator set by described Internet of Things field controller setting;
Whether the first judging unit, the actual operation parameters that is used for judging described generator set mate with normal Operational Limits and generate judged result;
The moving model generation unit, the actual operation parameters according to described generator set when being coupling for the judged result when described the first judging unit generates corresponding moving model;
The moving model database is for the various history run models of storing described generator set;
Whether the second judging unit, the moving model history run model corresponding with described moving model database that is used for judging described generation mate and generate judged result;
The control mode regulation 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 controller when not mating to management and the control mode of described generator set.
3. the generator set management control system based on cloud computing according to claim 1 and 2 is characterized in that the actual operation parameters of described generator set comprises real time execution parameter and security parameter; Described real time execution parameter comprises fuel flow, motor speed, pressure, leak of liquid rate, vibration acceleration, Motor torque and the generated energy of described generator set; Described security parameter comprises protective current, protection voltage, protection power and the motor safety rotating speed of described generator set.
4. the generator set management control system based on cloud computing according to claim 2, it is characterized in that, corresponding history run model refers to the history run model that the moving model of operation conditions constrained parameters and described generation mates in the described moving model database, and described operation conditions 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 generator set.
5. the generator set management control method based on cloud computing is characterized in that, comprising:
S11: manage and control according to the normal Operational Limits of the described generator set of the setting operating mode to described generator set, and the normal Operational Limits of described generator set is transferred to cloud computing equipment management and control platform;
S12: gather the actual operation parameters of described generator set and send the cloud computing equipment management to and the control platform;
S13: under cloud computing equipment management and control platform according to the actual operation parameters of described generator set and normal Operational Limits adjustment management and the control mode to described generator set.
6. the generator set management control method based on cloud computing according to claim 5 is characterized in that, described S13 step specifically comprises:
S131: judge whether the actual operation parameters of described generator set and normal Operational Limits mate; If do not mate, carry out the S135 step, if coupling is carried out the S132 step;
S132: the actual operation parameters according to described generator set generates corresponding moving model;
S133: whether history run model corresponding in the moving model of judging described generation and the moving model database mates; If do not mate, carry out the S135 step, if coupling is carried out the S134 step;
S134: keep management and control mode to described generator set;
S135: adjust management and control mode to described generator set.
7. the generator set 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 moving model database.
8. the generator set management control method based on cloud computing according to claim 6, it is characterized in that, corresponding history run model refers to the history run model that the moving model of operation conditions constrained parameters and described generation mates in the described moving model database, and described operation conditions 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 generator set.
9. according to claim 5 or 6 described generator set management control methods based on cloud computing, it is characterized in that the actual operation parameters of described generator set comprises real time execution parameter and security parameter; Described real time execution parameter comprises fuel flow, motor speed, pressure, leak of liquid rate, vibration acceleration, Motor torque and the generated energy of described generator set; Described security parameter comprises protective current, protection voltage, protection power and the safe speed of rotation of described generator set.
10. according to claim 5 or 6 described generator set management control methods based on cloud computing, it is characterized in that any during the normal Operational Limits of described generator set and actual operation parameters are all netted by wireless INTERNET net, wired INTERNET net, GPRS, dipper system, GPS, 3G, 4G sends cloud computing equipment management and control platform to.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011102800953A CN103016171A (en) | 2011-09-20 | 2011-09-20 | System and method for managing and controlling generator set based on cloud computing |
| PCT/CN2012/001121 WO2013040851A1 (en) | 2011-09-20 | 2012-08-22 | Cloud computing-based system and method for management and control of electricity generator set |
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| Application Number | Priority Date | Filing Date | Title |
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| CN2011102800953A CN103016171A (en) | 2011-09-20 | 2011-09-20 | System and method for managing and controlling generator set based on cloud computing |
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| CN103016171A true CN103016171A (en) | 2013-04-03 |
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| CN2011102800953A Pending CN103016171A (en) | 2011-09-20 | 2011-09-20 | System and method for managing and controlling generator set based on cloud computing |
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| WO (1) | WO2013040851A1 (en) |
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