CN103019160B - Based on cooling-water machine management control system and the method for cloud computing - Google Patents
Based on cooling-water machine management control system and the method for cloud computing Download PDFInfo
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- CN103019160B CN103019160B CN201110280651.7A CN201110280651A CN103019160B CN 103019160 B CN103019160 B CN 103019160B CN 201110280651 A CN201110280651 A CN 201110280651A CN 103019160 B CN103019160 B CN 103019160B
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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
- 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
- G05B2219/2614—HVAC, heating, ventillation, climate control
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The invention discloses a kind of cooling-water machine management control system based on cloud computing and method, this system comprises: Internet of Things field controller, for setting the normal operational parameters of described cooling-water machine and managing according to the operational mode of described normal operational parameters to described cooling-water machine and control, and the normal operational parameters of described cooling-water machine is transferred to cloud computing equipment management and parametric controller; Internet of Things on-site data gathering device, for gathering the actual operation parameters of described cooling-water machine and sending cloud computing equipment management and parametric controller to; Cloud computing equipment management and parametric controller, for adjusting management and the control model of described Internet of Things field controller according to the actual operation parameters of described cooling-water machine and normal operational parameters.Described method utilizes this system to realize.The present invention can the cooling-water machine management console of compatible all different manufacturers, carries out centralized management control, thus realize the optimization collocation of equipment operation condition under unified platform to a lot of objects.
Description
Technical field
The present invention relates to cooling-water machine management control technique field, particularly relate to a kind of cooling-water machine management control system based on cloud computing and method.
Background technology
Along with the cooling-water machine (as centrifugal chiller, reciprocation chiller, lithium bromide cooling-water machine and screw cooling-water machine) in worldwide gets more and more, control more and more important to the management of various cooling-water machine.
Cooling-water machine management control system of the prior art, mostly just adopt the means such as analytical equipment quantity, the name plate information of equipment, the maintenance log of equipment, do a simple information to various equipment to gather, and robotization means collecting device real-time running data and design parameter can not be used, particularly can not accomplish to do service data and design parameter comparative analysis to each parts of cooling-water machine, cannot investigate and predict in advance the time of occurrence node of equipment failure, and the extent of injury that fault causes equipment.
The present inventor also finds that the cooling-water machine management control software of prior art also exists following problem:
1, system runs into the problem that processing speed is rapid, data protection cannot realize when processing a large amount of historical data;
2, system is not carried out comprehensive equipment and parts service data statistics, is analyzed and management control from aspects such as design factor, environment for use, use habit, human factor, operating index, management system, fault reference mark post, fault performance, fault statistics, running optimizatin, only that part statistics is supplied to user, user oneself is allowed to go to revise on-the-spot operation control model according to statistics, thus the optimization collocation that the equipment that cannot realize runs.
Cloud computing is the network technology grown up in recent years, and it is distributed in by calculation task on the resource pool of a large amount of computing machine formation, makes various application system can obtain computing power, storage space and various software service as required.Ge great IT company releases oneself the platform service based on cloud computing one after another, as Google (GOOGLE), Microsoft, Yahoo, Amazon (Amazon) etc., sums up cloud computing and has following characteristics:
(1) ultra-large." cloud " has suitable scale, and Google cloud computing has had more than 100 ten thousand station servers, and " cloud " of Amazon, IBM, Microsoft, Yahoo etc. all has hundreds of thousands station server.The privately owned cloud of enterprise generally has hundreds of thousands of station server, and " cloud " can give user unprecedented computing power.
(2) virtual.Cloud computing support user at an arbitrary position, use various terminal obtain application service.Requested resource is from " cloud ", instead of fixing tangible entity.Be applied in somewhere in " cloud " to run, but in fact user applies without the need to understanding, also not worrying the particular location run.Only need a notebook or a mobile phone, just can realize all of our needs by network service, even comprise the task that supercomputing is such.
(3) high reliability." cloud " employs the measures such as the many copies of data are fault-tolerant, 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, not for specific application, can construct Protean application under the support of " cloud ", and same " cloud " can support different application simultaneously and run.
(5) enhanced scalability.The scale of " cloud " can dynamic retractility, meets the needs of application and userbase growth.
(6) on-demand service." cloud " is a huge resource pool, and you buy as required; Cloud can as tap water, electricity, the such charging of coal gas.
(7) extremely cheap.Special fault-tolerant measure due to " cloud " can adopt extremely cheap node to form cloud, the robotization centralized management of " cloud " makes a large amount of enterprise without the need to bearing 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 user can enjoy the low-cost advantage of " cloud " to the full, if often cost hundreds of dollar, several days time just can complete needed tens of thousands of dollars in the past, task that time several months just can complete.
(8) technology of Internet of things is the reliable guarantee that cloud computing realizes the cross-platform exchange of field equipment data, and its implication is " thing is connected with thing, intercommunication, and data sharing ".
(9) core of " technology of Internet of things " and basis remain " Internet technology ", are a kind of network technologies of extension on Internet technology basis and expansion; Its user side extends and extend between any article and 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, by the agreement of agreement, any article are connected with internet, carry out message exchange and communication, to realize a kind of network technology of Weigh sensor, location, tracking, monitor and managment.
(10) Internet of Things (InternetofThings) refers to the end-equipment (Devices) of ubiquitous (Ubiquitous) and facility (Facilities), comprises the sensor possessing " inherent intelligence ", mobile terminal, industrial system, digital control system, home intelligent facility, video monitoring system etc., " external enable " (Enabled's), as sticked the various assets (Assets) of RFID, the individual and vehicle etc. " intelligent object or animal " of portable radio terminal or " SMART DUST " (Mote), interconnect (M2M) by various wireless and/or wired long distance and/or short distance communication real-time performance, apply integrated greatly (GrandIntegration), and based on cloud computing SaaS operate isotype, at Intranet (Intranet), private network (Extranet), and/or under internet (Internet) environment, adopt suitable security assurance information mechanism, the real time on-line monitoring that safety is controlled and even personalized is provided, 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 (concentrate show CockpitDashboard), what realize " all things on earth " is " efficient, energy-conservation, safety, environmental protection " " pipe, control, battalion " integration.
Summary of the invention
In order to solve the problems referred to above of prior art, the object of this invention is to provide a kind of cooling-water machine management control system based on cloud computing and method, can the cooling-water machine management console of compatible all different manufacturers, equipment operation management control is carried out in a lot of object sets under a unified platform, realize operation optimum management, fault precognition and networking to greatest extent automatically to control, thus realize the optimization collocation of operation conditions, reach better operational effect.
To achieve these goals, the invention provides a kind of cooling-water machine management control system based on cloud computing, comprising:
Internet of Things field controller, for setting the normal operational parameters of described cooling-water machine and managing according to the operational mode of normal operational parameters to described cooling-water machine of described cooling-water machine and control, and the normal operational parameters of described cooling-water machine is transferred to cloud computing equipment management and parametric controller;
Internet of Things on-site data gathering device, for gathering the actual operation parameters of described cooling-water machine and sending cloud computing equipment management and parametric controller to;
Cloud computing equipment management and parametric controller, for adjusting management and the control model of described Internet of Things field controller according to the actual operation parameters of described cooling-water machine and normal operational parameters.
As preferably, described cloud computing equipment management and parametric controller specifically comprise:
Receiving element, for receiving the normal operational parameters of the actual operation parameters of the described cooling-water machine that described Internet of Things on-site data gathering device collects and the described cooling-water machine by described Internet of Things field controller setting;
First judging unit, for judging whether the actual operation parameters of described cooling-water machine mates with normal operational parameters and to generate judged result;
Moving model generation unit, generates corresponding moving model according to the actual operation parameters of described cooling-water machine during for being coupling when the judged result of described first judging unit;
Moving model database, for storing the various history run models of described cooling-water machine;
Second judging unit, for judging whether the history run model that the moving model of described generation is corresponding with described moving model database mates and generate judged result;
Control model adjustment unit, for adjusting described Internet of Things field controller to the management of described cooling-water machine and control model when the judged result of described first judging unit or described second judging unit is and does not mate.
As preferably, the actual operation parameters of described cooling-water machine comprises real time execution parameter and security parameter.Wherein, real time execution parameter is often referred to the parameter relevant to the actual motion of equipment such as temperature, humidity, air quantity, working time, frequency etc. that Internet of Things on-site data gathering device directly gathers, such as: the refrigerant of described cooling-water machine and rate-of flow, motor speed, refrigerant and pressure medium, leak of liquid rate, vibration acceleration, Motor torque and power consumption etc.; Security parameter comprises each device-dependent parameter in the situation such as fault and warning, such as: the protective current of described cooling-water machine, protection voltage, protection power and motor safety rotating speed etc.
As preferably, history run model corresponding in described moving model database refers to the history run model that operation conditions constrained parameters mate with the moving model of described generation, and described operation conditions constrained parameters comprise one in the applied environment parameter of described cooling-water machine, design parameter, application places type parameter and actual motion type parameter or it combines.The various history run model meeting industry standard (design standards, plant equipment design parameter etc.) is had in moving model database, these history run models consider the evaluation criterions such as energy consumption mark post, efficiency mark post, performance indicator system, and its operational 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 cooling-water machine usually, and operation conditions constrained parameters are different, and corresponding history run model is just different.The applied environment parameter of each equipment comprises geographic position, meteorologic parameter etc., the design parameter of equipment comprises designed breeding, design power, measurement range, design efficiency etc., and the application places type parameter of equipment comprises the classifications such as market, supermarket, hotel, office building, exhibition center, machine room, industrial premises, house, national grid.Certainly, other operation conditions constrained parameters, such as control models etc. can also be had.
To achieve these goals, present invention also offers a kind of cooling-water machine management control method based on cloud computing, comprising:
S11: the operational mode of normal operational parameters to described cooling-water machine according to the described cooling-water machine of setting manages and control, and the normal operational parameters of described cooling-water machine is transferred to cloud computing equipment management and parametric controller;
S12: gather the actual operation parameters of described cooling-water machine and send cloud computing equipment management and parametric controller to;
S13: adjust management to described cooling-water machine and control model according to the actual operation parameters of described cooling-water machine and normal operational parameters under cloud computing equipment management and parametric controller.
As preferably, described S13 step specifically comprises:
S131: judge whether the actual operation parameters of described cooling-water machine and normal operational parameters mate; If do not mated, perform S135 step, if coupling, perform S132 step;
S132: generate corresponding moving model according to the actual operation parameters of described cooling-water machine;
S133: judge whether the history run model that the moving model of described generation is corresponding with moving model database mates; If do not mated, perform S135 step, if coupling, perform S134 step;
S134: keep the management to described cooling-water machine and control model;
S135: adjust the management to described cooling-water machine and control model.
As preferred further, after performing described S134 step, also comprise S136 step, the moving model of described generation is joined in described moving model database.
As preferably, history run model corresponding in described moving model database refers to the history run model that operation conditions constrained parameters mate with the moving model of described generation, and described operation conditions constrained parameters comprise one in the applied environment parameter of described cooling-water machine, design parameter, application places type parameter and actual motion type parameter or it combines.
As preferably, the actual operation parameters of described cooling-water machine comprises real time execution parameter and security parameter.Wherein, real time execution parameter is often referred to the parameter relevant to the actual motion of equipment such as temperature, humidity, air quantity, working time, frequency etc. that Internet of Things on-site data gathering device directly gathers, such as: the refrigerant of described cooling-water machine and rate-of flow, motor speed, refrigerant and pressure medium, leak of liquid rate, vibration acceleration, Motor torque and power consumption etc.; Security parameter comprises each device-dependent parameter in the situation such as fault and warning, such as: the protective current of described cooling-water machine, protection voltage, protection power and motor safety rotating speed etc.
As preferably, the normal operational parameters of described cooling-water machine and actual operation parameters all send cloud computing equipment management and parametric controller to by any one in wireless INTERNET net, wired INTERNET net, GPRS, dipper system, GPS, 3G net, 4G net.
Compared with prior art, beneficial effect of the present invention is, cooling-water machine management control system provided by the invention and method can the cooling-water machine management consoles of compatible all different manufacturers, operational management control is carried out in a lot of object sets under a unified platform, realize predicting equipment failure and networking auto-adjustment control to greatest extent, thus realize the optimization collocation of equipment operation condition, reach better equipment control and maintenance effects.
Accompanying drawing explanation
Fig. 1 is the structural representation of the cooling-water machine management control system based on cloud computing of the embodiment of the present invention;
Fig. 2 is the process flow diagram of the cooling-water machine management control method based on cloud computing of one embodiment of the invention;
Fig. 3 is the process flow diagram of the cooling-water machine management control method based on cloud computing of another embodiment of the present invention.
Embodiment
Embodiments of the invention are described in detail below in conjunction with accompanying drawing.
The structural representation of the cooling-water machine management control system based on cloud computing of the embodiment of the present invention as shown in Figure 1, the cooling-water machine management control system based on cloud computing comprises:
Internet of Things field controller 11, for setting the normal operational parameters of cooling-water machine 10 and managing according to the operational mode of normal operational parameters to cooling-water machine 10 of cooling-water machine 10 and control, and the normal operational parameters of cooling-water machine 10 is transferred to cloud computing equipment management and parametric controller 13; Internet of Things field controller 11 comprises customer parameter setup unit 111, and it is for setting the normal operational parameters of cooling-water machine 10, and adjusts management and the control model of Internet of Things field controller 11 pairs of cooling-water machines 10; Conventional Internet of Things field controller 11 comprises generator set controller, unit frequency-conversion device, unit load adjustment controller, unit electric power cabinet, impeller modifier controller, unit and motor oscillating modifier controller, operating states of the units self-recording device, unit operation trouble recorder and units consumption registering instrument etc.The Internet of Things field controller 11 that the present embodiment adopts is the controllers utilizing technology of Internet of things to research and develop, and is the cooling-water machine Operational Data Analysis controller with unique ip address, can one_to_one corresponding with cooling-water machine 10.The normal operational parameters set by Internet of Things field controller 11 is transferred to cloud computing equipment management and parametric controller 13 by communication network, and wherein said communication network can be wireless INTERNET net, wired INTERNET net, GPRS, dipper system, GPS, 3G net or more advanced transmission network of future generation (4G) etc.
Internet of Things on-site data gathering device 12, for gathering the actual operation parameters of cooling-water machine 10 and sending cloud computing equipment management and parametric controller 13 to; The actual operation parameters of cooling-water machine 10 comprises real time execution parameter and security parameter.Wherein, real time execution parameter is often referred to the direct temperature, humidity, air quantity, working time, frequency etc. gathered of Internet of Things on-site data gathering device 12 parameter relevant to the actual motion of cooling-water machine 10, such as: the refrigerant of cooling-water machine 10 and rate-of flow, motor speed, refrigerant and pressure medium, leak of liquid rate, vibration acceleration, Motor torque and power consumption etc.; Security parameter comprises each parameter relevant to cooling-water machine 10 in the situation such as fault and warning, such as: the protective current of cooling-water machine 10, protection voltage, protection power and motor safety rotating speed etc.Internet of Things on-site data gathering device 12 is generally made up of the sensor of all kinds of band network transmission function, data statistics and collection unit, data analysis and uploading unit etc., complete collection and the rough estimates analytic function of data, its actual quantity sets as required, may have a lot of Internet of Things on-site data gathering devices 12.The Internet of Things on-site data gathering device 12 that the present embodiment adopts is the data acquisition units utilizing technology of Internet of things to research and develop, and is the cooling-water machine actual operating data collector with unique ip address, can one_to_one corresponding with cooling-water machine 10.Internet of Things on-site data gathering device 12 can be various refrigerant and rate-of flow sensor, motor speed sensor, refrigerant and pressure medium sensor, leak of liquid rate measuring instrument, acceleration transducer, Motor torque sensor, shaft seal leakage of oil and leakage sensor, electric quantity acquisition instrument etc.The actual operation parameters of the cooling-water machine 10 that Internet of Things on-site data gathering device 12 collects is transferred to cloud computing equipment management and parametric controller 13 by communication network, and wherein said communication network can be wireless INTERNET net, wired INTERNET net, GPRS, dipper system, GPS, 3G net or more advanced transmission network of future generation (4G) etc.
Cloud computing equipment management and parametric controller 13, for adjusting management and the control model of described Internet of Things field controller 11 according to the actual operation parameters of described cooling-water machine 10 and normal operational parameters.The object of adjustment is the optimization collocation realizing cooling-water machine 10, reduces failure rate, and reduce maintenance cost, the equipment of guarantee is in optimal operational condition etc.The cloud computing equipment management of the present embodiment and parametric controller 13 specifically comprise:
Receiving element 131, the actual operation parameters of cooling-water machine 10 collected for receiver networking on-site data gathering device 12 and the normal operational parameters of the cooling-water machine 10 by Internet of Things field controller 11 setting;
Whether the first judging unit 132, mate for the actual operation parameters of cooling-water machine 10 collected described in judging with the normal operational parameters of the cooling-water machine 10 of described setting and generate judged result;
Moving model generation unit 133, for when the first judging unit 132 judged result for during coupling according to described in the actual operation parameters of cooling-water machine 10 that collects generate corresponding moving model; Moving model comprises the indexs such as overall operating mode and operating condition.
Moving model database 130, for storing the various history run models of cooling-water machine 10; The various cooling-water machine history run model meeting industry standard (design standards, plant equipment design parameter etc.) and the optimized operation state model of being arranged by the file such as related specifications, standard or admitting is had in moving model database 130, these history run models consider the evaluation criterions such as function mark post, efficiency mark post, performance indicator system, and its running status is the most rational comparatively speaking.
Second judging unit 134, for judging whether the history run model that the moving model of described generation is corresponding with moving model database mates and generate judged result; The foundation of cooling-water machine history run model is subject to the restriction of operation conditions constrained parameters usually, and operation conditions constrained parameters are different, and corresponding cooling-water machine history run model is just different.Described operation conditions constrained parameters comprise one in the applied environment parameter of each equipment described, design parameter, spare and accessory parts design parameter, application places type parameter or its combination and the combination with other constrained parameters (as control and optimize pattern).The applied environment parameter of each equipment comprises geographic position, meteorologic parameter etc., design parameter comprises operation conditions, design power, measurement range, design efficiency etc., and application places type parameter comprises the types such as market, supermarket, hotel, office building, exhibition center, machine room, industrial premises, house, national grid.User inputs the operation conditions constrained parameters of the moving model of current generation by operation conditions constrained parameters setup unit 14, then in cooling-water machine moving model database 130, corresponding history run model (i.e. operation conditions constrained parameters mate with the moving model of described generation history run model) is found according to these operation conditions constrained parameters, judge whether the moving model generated mates with corresponding history run model again, if not mating devices illustrated runs unreasonable, need adjustment.The moving model unit interval vibration equipment acceleration such as generated requires 1000g (per second square), if but be less than or greater than more than 10% of setting value, then can infer that the running status of this equipment is abnormal, resonate, there is excessive wear in spare and accessory parts, or bias etc., need to adjust equipment.
Control model adjustment unit 135, adjusts management and the control model of Internet of Things field controller 11 pairs of cooling-water machines 10 during for when the judged result of the first judging unit 132 or the second judging unit 134 being and not mating.Do not mate and illustrate that operation is undesirable, need to ensure that equipment normally runs to management and control model adjustment, until best operating point realizes coupling, thus realize the optimization collocation of operation conditions.When the judged result of the first judging unit 132 is not for mating, illustrates that operation conditions cannot reach the requirement of user's setting, needing directly to adjust; When the judged result of the second judging unit 134 is not for mating, although illustrate that operation conditions can reach user and set requirement, but not also optimum, do not consider the evaluation criterions such as function mark post, efficiency mark post, performance indicator system, be necessary to carry out adjusting thus further optimizing operation state.If when the judged result of the second judging unit 134 is for coupling, illustrate that the moving model generated is reasonably satisfactory, then the moving model of described generation is joined in moving model database 130, enrich historical data, for follow-up operation situation management controls to provide reference.
Certainly, management and the control model of cloud computing equipment management and parametric controller 13 pairs of Internet of Things field controllers 11 have a variety of, and above-described embodiment simply show one wherein.
In order to user is easy to use, the cooling-water machine management control system based on cloud computing of the present embodiment can make display interface intuitively, and user only needs to carry out management by display interface and controls.
The advantage that the management of use cloud computing equipment and parametric controller 13 carry out equipment control control is fairly obvious, the scale of cloud computing and the feature of extensibility make ultra-large operation conditions centralized control to realize, the management that can realize the cooling-water machine of any kind in global range theoretically controls, and range of application is wider; The virtualized feature of cloud computing makes each user carry out without the need to configuring separately independently operation state management parametric controller when operation state management controls, but obtains as required in " cloud ", greatly reduces cost; The feature of the resource sharing of cloud computing makes historical data in whole parametric controller very abundant, can mate best historical data as a reference, thus realize the optimization collocation of the energy.
The process flow diagram of the cooling-water machine management control method based on cloud computing of one embodiment of the invention as shown in Figure 2, the method comprises:
S11: the operational mode of normal operational parameters to described cooling-water machine according to the described cooling-water machine of setting manages and control, and the normal operational parameters of described cooling-water machine is transferred to cloud computing equipment management and parametric controller; The normal operational parameters of setting is transferred to cloud computing equipment management and parametric controller by communication network, and wherein said communication network can be wireless INTERNET net, wired INTERNET net, GPRS and 3G net or more advanced transmission network of future generation etc.
S12: gather the actual operation parameters of described cooling-water machine and send cloud computing equipment management and parametric controller to; The actual operation parameters of described cooling-water machine comprises real time execution parameter and security parameter.Wherein, real time execution parameter is often referred to the direct temperature, humidity, air quantity, working time, frequency etc. the gathered parameter relevant to the actual motion of cooling-water machine, such as: refrigerant and rate-of flow, motor speed, refrigerant and pressure medium, leak of liquid rate, vibration acceleration, Motor torque and power consumption etc.; Security parameter comprises each parameter relevant to cooling-water machine in the situations such as fault and warning, such as: the protective current of cooling-water machine, protection voltage, protection power and motor safety rotating speed etc.The Internet of Things on-site data gathering device that general employing is made up of the sensor of all kinds of band network transmission function, data statistics and collection unit, data analysis and uploading unit etc. gathers actual operation parameters, the actual quantity of described Internet of Things on-site data gathering device sets as required, such as refrigerant and rate-of flow sensor, motor speed sensor, refrigerant and pressure medium sensor, leak of liquid rate measuring instrument, acceleration transducer, Motor torque sensor, shaft seal leakage of oil and leakage sensor, electric quantity acquisition instrument.The actual operation parameters of the cooling-water machine collected is transferred to cloud computing equipment management and parametric controller by communication network, and wherein communication network can be wireless INTERNET net, wired INTERNET net, GPRS and 3G net or more advanced transmission network of future generation etc.
S13: adjust management to described cooling-water machine and control model according to the actual operation parameters of described cooling-water machine and normal operational parameters under cloud computing equipment management and parametric controller.
Due to employ cloud computing equipment management and the operation conditions of parametric controller to cooling-water machine manage and control, the scale of cloud computing and the feature of extensibility make ultra-large operation conditions centralized control to realize, the management that can realize the cooling-water machine of any kind in global range theoretically controls, and range of application is wider; The virtualized feature of cloud computing makes each user carry out without the need to configuring separately independently operation state management parametric controller when operation state management controls, but obtains as required in " cloud ", greatly reduces cost; The feature of the resource sharing of cloud computing makes historical data in whole parametric controller very abundant, can mate best historical data as a reference, thus realize the optimization collocation of operation conditions.
The process flow diagram of the cooling-water machine management control method based on cloud computing of another embodiment of the present invention as shown in Figure 3, the method is on the basis of the cooling-water machine management control method based on cloud computing shown in Fig. 2, and described S13 step specifically comprises:
S131: judge whether the actual operation parameters of described cooling-water machine and normal operational parameters mate; If do not mated, perform S135 step, if coupling, perform S132 step;
S132: generate corresponding moving model according to the actual operation parameters of described cooling-water machine;
S133: judge whether the history run model that the moving model of described generation is corresponding with moving model database mates; If do not mated, perform S135 step, if coupling, perform S134 step;
S134: keep the management to described cooling-water machine and control model;
S135: adjust the management to described cooling-water machine and control model.
As a kind of preferred version of the present embodiment, after performing described S134 step, also comprise S136 step, the moving model of described generation is joined in described moving model database, enriches historical data, for follow-up operation situation management controls to provide reference.
More detailed introduction please refer to above-mentioned based on the statement in the cooling-water machine management control system embodiment of cloud computing.
History run model corresponding in described moving model database refers to the history run model that operation conditions constrained parameters mate with the moving model of described generation, and described operation conditions constrained parameters comprise one in the applied environment parameter of described cooling-water machine, design parameter, application places type parameter and actual motion type parameter or it combines.The various history run model meeting industry standard (design standards, plant equipment design parameter etc.) is had in moving model database, these history run models consider the evaluation criterions such as energy consumption mark post, efficiency mark post, performance indicator system, and its operational 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 cooling-water machine usually, and operation conditions constrained parameters are different, and corresponding history run model is just different.The applied environment parameter of each equipment comprises geographic position, meteorologic parameter etc., the design parameter of equipment comprises designed breeding, design power, measurement range, design efficiency etc., and the application places type parameter of equipment comprises the classifications such as market, supermarket, hotel, office building, exhibition center, machine room, industrial premises, house, national grid.Certainly, other operation conditions constrained parameters, such as control models etc. can also be had.
The actual operation parameters of described cooling-water machine sends cloud computing equipment management and parametric controller to by any one in wireless INTERNET net, wired INTERNET net, GPRS, GPS, dipper system, 3G and more advanced transmission network 4G net of future generation.
The method of the present embodiment is on the basis of the cooling-water machine management control method based on cloud computing shown in Fig. 2, show in particular a kind of cloud computing equipment management and parametric controller under how to adjust the described management of Internet of Things field controller and the method for control model, it takes full advantage of the feature that cloud computing equipment manages and parametric controller historical data is abundant, optimizes moving model further.
Do actual functional capability by common handpiece Water Chilling Units operational management and control mode in building below to illustrate:
In the operational management of unit requires, in operation, handpiece Water Chilling Units chilled water and chilled water turnover parameter should in following scopes:
Chilled water Inlet and outlet water pressure reduction 0.1-0.15Mpa, Inlet and outlet water temperature difference 4-5 DEG C, the Inlet and outlet water pressure reduction of chilled water is between 0.1-0.15Mpa;
The Inlet and outlet water temperature difference 4-5 DEG C of chilled water, chilled water leaving water temperature be less than 47 °F (8.5 DEG C), cooling chilled water system maximum pressure must not more than 1.3Mpa, and the system maximum pressure of chilled water must not 1 more than 0.4Mpa.
After refrigeration machine works well, collect the service data of handpiece Water Chilling Units by different internet of things data acquisition instrument, and to do in database corresponding relatively and judge whether to meet following normal service requirement:
(1) fuel tank temperature should between 140-150 °F, otherwise will temperature pre-warning be done, and by warning message automatically in the corresponding link display of the management of cloud computing facilities and equipment and parametric controller, the relevant device that links and do corresponding temperature regulation and control by corresponding Internet of Things controller.
(2) bearing return oil temperature should between 150-175 °F, when internet of things data acquisition instrument collect bearing return oil temperature normal time, the management of cloud computing facilities and equipment and parametric controller will send control signal makes corresponding Internet of Things controller that oil heater is stopped heating, when the returning-oil temperature region normal value of bearing return oil temperature, the management of cloud computing facilities and equipment and parametric controller will send control signal makes corresponding Internet of Things controller open corresponding oil heater.
(3) reading of control center's oil pressure gauge display, differential pressure should between 138-172kpa.When internet of things data acquisition instrument collect differential pressure too small time, the management of cloud computing facilities and equipment and parametric controller then can send differential pressure too small several may with corresponding robotization pipeline 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 is too low, counter-measure: regulate pump speed to increase;
Have water to leak to fuel tank, (counter-measure: more change oil);
Oil quality is excessively poor, counter-measure: change oil.
And when cloud computing facilities and equipment management and parametric controller judge that Internet of Things oil pressure Acquisition Instrument data are too high time, then can send differential pressure excessive several may with corresponding robotization pipeline and control measure:
Line clogging, counter-measure:--automatic through pipeline);
Fuel reserve tank oil mass overfill, counter-measure:--draining is to rationally automatically);
Pump speed is too high, counter-measure:--regulate pump speed to reduce).
The control of other parameter is similar to the control of oil pressure, when parameter value is after the management of cloud computing facilities and equipment and parametric controller judge, once 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 adjustment.Wherein, need other parameters by monitoring as follows:
(64) 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 lower than 65 °F.
(6) pressure of evaporator is also different because of the design conditions of main frame, and its scope is generally between-51 to-18hg vacuum tightnesss.
(7) inflow temperature of evaporator higher than 32 DEG C, must not forbid that, higher than 38 DEG C, leaving water temperature is different because of the design conditions of main frame, " comfortableness " air-conditioning water temperature is generally set in 9--7 DEG C, must not lower than 5 DEG C, evaporating temperature 5-2 DEG C, must not lower than 0 DEG C.
(8) numerical value of solidifying deaerator pressure should in the half part of evaporator and condenser pressure.
Other securities are protected---measure; protectiveness is shut down: when the data of Internet of Things on-site data gathering instrument are after the management of cloud computing facilities and equipment and parametric controller are analyzed, when the faults such as discovery refrigeration unit emerged in operation evaporating pressure is too low, fuel tank oil pressure is crossed, chilled water leaving water temperature is too low, brownout, chilled water lack of water, chilled water lack of water, mair motor temperature is too high, condensing pressure is too high, excessive discharge temperature, cloud computing facilities and equipment manage and parametric controller all can be reported to the police by network and give an order and realized auto stop to on-the-spot Internet of Things controller.Fault processes automatically and after eliminating, just can reset start.
In addition, these type of data when breaking down enter historical data library model simultaneously, as analyzing reference value next time.
Above embodiment is only exemplary embodiment of the present invention, is not used in restriction the present invention, and protection scope of the present invention is limited by the claims added.Those skilled in the art can in essence of the present invention and protection domain, and make various amendment or equivalent replacement to the present invention, this amendment or equivalent replacement also should be considered as dropping in protection scope of the present invention.
Claims (8)
1., based on a cooling-water machine management control system for cloud computing, it is characterized in that, comprising:
Internet of Things field controller, for setting the normal operational parameters of described cooling-water machine and managing according to the operational mode of normal operational parameters to described cooling-water machine of described cooling-water machine and control, and the normal operational parameters of described cooling-water machine is transferred to cloud computing equipment management and parametric controller, wherein, described Internet of Things field controller comprises: generator set controller, unit frequency-conversion device, unit load adjustment controller, unit electric power cabinet, impeller modifier controller, unit and motor oscillating modifier controller, operating states of the units self-recording device, unit operation trouble recorder and/or units consumption registering instrument,
Internet of Things on-site data gathering device, for gathering the actual operation parameters of described cooling-water machine and sending cloud computing equipment management and parametric controller to, wherein, described Internet of Things on-site data gathering device comprises: refrigerant and rate-of flow sensor, motor speed sensor, refrigerant and pressure medium sensor, leak of liquid rate measuring instrument, acceleration transducer, Motor torque sensor, shaft seal leakage of oil and leakage sensor and/or electric quantity acquisition instrument;
Cloud computing equipment management and parametric controller, for adjusting management and the control model of described Internet of Things field controller according to the actual operation parameters of described cooling-water machine and normal operational parameters,
The actual operation parameters of described cooling-water machine comprises real time execution parameter and security parameter; Described real time execution parameter comprises refrigerant and rate-of flow, motor speed, refrigerant and pressure medium, leak of liquid rate, vibration acceleration, Motor torque and the power consumption of described cooling-water machine; Described security parameter comprises protective current, protection voltage, the protection power and motor safety rotating speed of described cooling-water machine;
Described Internet of Things field controller is the cooling-water machine Operational Data Analysis controller with unique ip address, can one_to_one corresponding with cooling-water machine;
Described Internet of Things on-site data gathering device is the cooling-water machine actual operating data collector with unique ip address, can one_to_one corresponding with cooling-water machine.
2. the cooling-water machine management control system based on cloud computing according to claim 1, is characterized in that, described cloud computing equipment management and parametric controller specifically comprise:
Receiving element, for receiving the normal operational parameters of the actual operation parameters of the described cooling-water machine that described Internet of Things on-site data gathering device collects and the described cooling-water machine by described Internet of Things field controller setting;
First judging unit, for judging whether the actual operation parameters of described cooling-water machine mates with normal operational parameters and to generate judged result;
Moving model generation unit, generates corresponding moving model according to the actual operation parameters of described cooling-water machine during for being coupling when the judged result of described first judging unit;
Moving model database, for storing the various history run models of described cooling-water machine;
Second judging unit, for judging whether the history run model that the moving model of described generation is corresponding with described moving model database mates and generate judged result;
Control model adjustment unit, for adjusting described Internet of Things field controller to the management of described cooling-water machine and control model when the judged result of described first judging unit or described second judging unit is and does not mate.
3. the cooling-water machine management control system based on cloud computing according to claim 2, it is characterized in that, history run model corresponding in described moving model database refers to the history run model that operation conditions constrained parameters mate with the moving model of described generation, and described operation conditions constrained parameters comprise one in the applied environment parameter of described cooling-water machine, design parameter, application places type parameter and actual motion type parameter or it combines.
4., based on a cooling-water machine management control method for cloud computing, it is characterized in that, comprising:
S11: managed by the operational mode of normal operational parameters to described cooling-water machine of Internet of Things field controller according to the described cooling-water machine of setting and controlled, and the normal operational parameters of described cooling-water machine is transferred to cloud computing equipment management and parametric controller, wherein, undertaken managing and controlling by following device: generator set controller, unit frequency-conversion device, unit load adjustment controller, unit electric power cabinet, impeller modifier controller, unit and motor oscillating modifier controller, operating states of the units self-recording device, unit operation trouble recorder and/or units consumption registering instrument, described Internet of Things field controller is the cooling-water machine Operational Data Analysis controller with unique ip address, can one_to_one corresponding with cooling-water machine,
S12: gather the actual operation parameters of described cooling-water machine by Internet of Things on-site data gathering device and send cloud computing equipment management and parametric controller to, wherein, gathered by following device: refrigerant and rate-of flow sensor, motor speed sensor, refrigerant and pressure medium sensor, leak of liquid rate measuring instrument, acceleration transducer, Motor torque sensor, shaft seal leakage of oil and leakage sensor and/or electric quantity acquisition instrument, described Internet of Things on-site data gathering device is the cooling-water machine actual operating data collector with unique ip address, can one_to_one corresponding with cooling-water machine,
S13: adjust management to described cooling-water machine and control model according to the actual operation parameters of described cooling-water machine and normal operational parameters under cloud computing equipment management and parametric controller,
The actual operation parameters of described cooling-water machine comprises real time execution parameter and security parameter; Described real time execution parameter comprises refrigerant and rate-of flow, motor speed, refrigerant and pressure medium, leak of liquid rate, vibration acceleration, Motor torque and the power consumption of described cooling-water machine; Described security parameter comprises protective current, protection voltage, the protection power and motor safety rotating speed of described cooling-water machine.
5. the cooling-water machine management control method based on cloud computing according to claim 4, is characterized in that, described S13 step specifically comprises:
S131: judge whether the actual operation parameters of described cooling-water machine and normal operational parameters mate; If do not mated, perform S135 step, if coupling, perform S132 step;
S132: generate corresponding moving model according to the actual operation parameters of described cooling-water machine;
S133: judge whether the history run model that the moving model of described generation is corresponding with moving model database mates; If do not mated, perform S135 step, if coupling, perform S134 step;
S134: keep the management to described cooling-water machine and control model;
S135: adjust the management to described cooling-water machine and control model.
6. the cooling-water machine management control method based on cloud computing according to claim 5, is characterized in that, after performing described S134 step, also comprises S136 step, is joined in described moving model database by the moving model of described generation.
7. the cooling-water machine management control method based on cloud computing according to claim 5, it is characterized in that, history run model corresponding in described moving model database refers to the history run model that operation conditions constrained parameters mate with the moving model of described generation, and described operation conditions constrained parameters comprise one in the applied environment parameter of described cooling-water machine, design parameter, application places type parameter and actual motion type parameter or it combines.
8. the cooling-water machine management control method based on cloud computing according to claim 4 or 5, it is characterized in that, the normal operational parameters of described cooling-water machine and actual operation parameters all send cloud computing equipment management and parametric controller to by any one in wireless INTERNET net, wired INTERNET net, GPRS, dipper system, GPS, 3G net, 4G net.
Priority Applications (2)
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| CN201110280651.7A CN103019160B (en) | 2011-09-20 | 2011-09-20 | Based on cooling-water machine management control system and the method for cloud computing |
| PCT/CN2012/001124 WO2013040854A1 (en) | 2011-09-20 | 2012-08-22 | Cloud computing-based system and method for management and control of water chiller |
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| CN201110280651.7A CN103019160B (en) | 2011-09-20 | 2011-09-20 | Based on cooling-water machine management control system and the method for cloud computing |
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| CN106556190A (en) * | 2016-11-30 | 2017-04-05 | 深圳汇通智能化科技有限公司 | Cooling-water machine management control system based on cloud computing |
| CN109539457A (en) * | 2018-10-29 | 2019-03-29 | 花静霞 | A kind of cold water computer room control method based on deep learning |
| CN111350945A (en) * | 2018-12-24 | 2020-06-30 | 无锡热能在线科技有限公司 | Method for detecting medium leakage of system pipeline |
| US11936489B2 (en) | 2021-02-02 | 2024-03-19 | True Manufacturing Co., Inc. | Systems, methods, and appliances that enable regional control of refrigeration appliances |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201765488U (en) * | 2010-04-27 | 2011-03-16 | 姜永东 | Motor vehicle monitoring system based on cloud computing |
| CN201765486U (en) * | 2010-03-05 | 2011-03-16 | 姜永东 | Facility monitoring system based on cloud computing |
| CN201812187U (en) * | 2010-03-05 | 2011-04-27 | 姜永东 | Energy management control system for electronic information system machine rooms based on cloud computing |
| CN202257235U (en) * | 2011-09-20 | 2012-05-30 | 朗德华信（北京）自控技术有限公司 | Water cooler management control system based on cloud computing |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AU2633001A (en) * | 2000-01-07 | 2001-07-24 | Invensys Controls Plc | Building control |
| US8204717B2 (en) * | 2009-04-01 | 2012-06-19 | Honeywell International Inc. | Cloud computing as a basis for equipment health monitoring service |
| CN201830289U (en) * | 2009-11-09 | 2011-05-11 | 深圳市同洲电子股份有限公司 | Family cloud computing system based on set top box |
-
2011
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2012
- 2012-08-22 WO PCT/CN2012/001124 patent/WO2013040854A1/en active Application Filing
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201765486U (en) * | 2010-03-05 | 2011-03-16 | 姜永东 | Facility monitoring system based on cloud computing |
| CN201812187U (en) * | 2010-03-05 | 2011-04-27 | 姜永东 | Energy management control system for electronic information system machine rooms based on cloud computing |
| CN201765488U (en) * | 2010-04-27 | 2011-03-16 | 姜永东 | Motor vehicle monitoring system based on cloud computing |
| CN202257235U (en) * | 2011-09-20 | 2012-05-30 | 朗德华信（北京）自控技术有限公司 | Water cooler management control system based on cloud computing |
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