CN103019160A - Water chiller management and control system and method based on cloud computing - Google Patents
Water chiller management and control system and method based on cloud computing Download PDFInfo
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- CN103019160A CN103019160A CN2011102806517A CN201110280651A CN103019160A CN 103019160 A CN103019160 A CN 103019160A CN 2011102806517 A CN2011102806517 A CN 2011102806517A CN 201110280651 A CN201110280651 A CN 201110280651A CN 103019160 A CN103019160 A CN 103019160A
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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
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- 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 water chiller management and control system based on cloud computing and a water chiller management and control method based on cloud computing. The system comprises an Internet of things in-site controller for setting a normal running parameter of a water chiller and performing management and control on a running mode of the water chiller according to the normal running parameter, an Internet of things in-site data acquirer for acquiring an actual running parameter of the water chiller, and a cloud computing equipment management and control platform for adjusting a management and control mode of the Internet of things in-site controller according to the actual running parameter and the normal running parameter of the water chiller. The method is implemented by the system. The system can be compatible with all water chiller management and control platforms of different factories; and under the uniform platform, a plurality of objects are subjected to concentrative management and control, so that a running condition of the equipment can be optimized.
Description
Technical field
The present invention relates to cooling-water machine management control technique field, relate in particular to a kind of cooling-water machine management control system and method based on cloud computing.
Background technology
Along with the cooling-water machine in the worldwide (such as centrifugal chiller, reciprocation chiller, lithium bromide cooling-water machine and screw cooling-water machine) is more and more, more and more important to the management control of various cooling-water machines.
Cooling-water machine management control system of the prior art, mostly just adopt the nameplate information of analytical equipment quantity, equipment, the means such as maintenance log of equipment, various device is done a simple information to gather, and can not use robotization means collecting device real-time running data and design parameter, particularly can not accomplish each parts of cooling-water machine are 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 cooling-water machine management control software of prior art:
1, system runs into the problem that processing speed is not rapid, data protection can't realize when processing a large amount of historical data;
2, system does not carry out comprehensive equipment and parts service data statistics, analyzes and management control from aspects such as design factor, environment for use, use habit, human factor, operating index, management system, fault base stake, fault performance, fault statistics, operation optimizations, only be that the part statistics is offered the user, allow user oneself go to revise on-the-spot operation control model according to statistics, thus optimization configuration that can't the operation of realization equipment.
Cloud computing is the network technology that grew up in recent years, and it is that calculation task is distributed on the resource pool of a large amount of computing machines formations, so that various application system can be obtained computing power, storage space and various software service as required.Each 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 the Google cloud computing has had more than 100 ten thousand station servers, and Amazon, IBM, Microsoft, Yahoo etc. " cloud " all has the hundreds of thousands station server.The privately owned cloud of enterprise generally has hundreds of thousands of station servers, and " cloud " can give the user unprecedented computing power.
(2) virtual.Cloud computing support the user at an arbitrary position, use various terminals to obtain application service.Requested resource is from " cloud ", rather than fixing tangible entity.Be applied in somewhere operation in " cloud ", but in fact the user need not to understand, does not also worry using the particular location of operation.Only need a notebook or a mobile phone, just can realize all that we need by network service, even comprise the task that supercomputing is such.
(3) high reliability." cloud " used the measures such as the many copies of data are fault-tolerant, the computing node isomorphism is interchangeable to ensure the high reliability of service, 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 robotization centralized management of " cloud " makes a large amount of enterprises need not to bear day by day high data center's handling cost, the versatility of " cloud " makes the utilization factor of resource significantly promote than legacy system, therefore the user can enjoy the low-cost advantage of " cloud " to the full, often as long as cost hundreds of dollar, several days time need the task that tens thousand of dollars, time several months just can finish before just finishing.
(8) technology of Internet of things is the reliable guarantee that cloud computing realizes the cross-platform exchange of field equipment data, and its essential implication is " thing and phase connect, intercommunication, and data sharing ".
(9) core of " technology of Internet of things " and basis remain " Internet technology ", are extension on the Internet technology basis and a kind of network technology of expansion; Its user side extends and has expanded between any article and the article, carries out message exchange and communication.Therefore, the definition of technology of Internet of things is: by information sensing equipment such as radio-frequency (RF) identification (RFID), infrared inductor, GPS, laser scanners, agreement by agreement, any article are connected with the internet, carry out message exchange and communication, to realize a kind of network technology of intelligent identification, location, tracking, monitoring and management.
(10) Internet of Things (Internet of Things) refers to end-equipment (Devices) and the facility (Facilities) with ubiquitous (Ubiquitous), comprise the sensor that possesses " inherent intelligence ", portable terminal, industrial system, digital control system, the home intelligent facility, video monitoring system etc., " external enabling " (Enabled), as stick the sundry assets (Assets) of RFID, the individual of portable radio terminal and vehicle etc. " intelligent object or animal " or " SMART DUST " (Mote), realize interconnecting (M2M) by various wireless and/or wired long distance and/or short distance communication networks, use integrated greatly (Grand Integration), and based on the SaaS of cloud computing operation isotype, at Intranet (Intranet), private network (Extranet), and/or under internet (Internet) environment, adopt suitable security assurance information mechanism, provide safety controlled and even Extraordinary real time on-line monitoring, the location is reviewed, alarm linkage, dispatch control, program management, Long-distance Control, safety precaution, long-range repair and maintenance, online upgrading, statistical report form, decision support, the management and service functions such as leader's desktop (concentrating the Cockpit Dashboard that shows), realization is integrated to " pipe; control; battalion " of " efficient; energy-conservation; safety; environmental protection " of " all things on earth ".
Summary of the invention
In order to solve the problems referred to above of prior art, the purpose of this invention is to provide a kind of cooling-water machine management control system and method based on cloud computing, cooling-water machine 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 cooling-water machine management control system based on cloud computing, comprising:
The Internet of Things field controller, be used for setting the normal operational factor of described cooling-water machine and manage and control according to the normal operational factor of the described cooling-water machine operational mode to described cooling-water machine, and the normal operational factor of described cooling-water machine 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 cooling-water machine 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 model of adjusting described Internet of Things field controller according to actual operation parameters and the normal operational factor of described cooling-water machine.
As preferably, described cloud computing equipment management and control platform specifically comprise:
Receiving element is used for receiving the normal operational factor of the actual operation parameters of the described 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;
Whether the first judging unit, the actual operation parameters that is used for judging described cooling-water machine mate with normal operational factor and generate judged result;
The moving model generation unit, the actual operation parameters according to described cooling-water machine 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 cooling-water machine;
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 model adjustment unit is used for judged result when described the first judging unit or described the second judging unit for to adjust described Internet of Things field controller when not mating to management and the control model of described cooling-water machine.
As preferably, the actual operation parameters of described cooling-water machine 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 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 situations 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, 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 cooling-water machine.There are the various history run models that meet industry standard (design standards, 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 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 the 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 design and operation parameter, 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, dwelling house, national grid.Certainly, other operation conditions constrained parameters can also be arranged, such as control model etc.
To achieve these goals, the present invention also provides a kind of cooling-water machine management control method based on cloud computing, comprising:
S11: manage and control according to the normal operational factor of the described cooling-water machine of the setting operational mode to described cooling-water machine, and the normal operational factor of described cooling-water machine is transferred to cloud computing equipment management and control platform;
S12: gather the actual operation parameters of described cooling-water machine 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 cooling-water machine and normal operational factor adjustment management and the control model to described cooling-water machine.
As preferably, described S13 step specifically comprises:
S131: judge whether the actual operation parameters of described cooling-water machine and normal operational factor 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 cooling-water machine 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 model to described cooling-water machine;
S135: adjust management and control model to described cooling-water machine.
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 cooling-water machine.
As preferably, the actual operation parameters of described cooling-water machine 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 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 situations 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 factor of described cooling-water machine 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 net, the 4G net any.
Compared with prior art, beneficial effect of the present invention is, cooling-water machine management control system provided by the invention and method can compatible all different manufacturers the cooling-water machine management console, under a unified platform, control carrying out operational 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 cooling-water machine management control system of cloud computing of the embodiment of the invention;
Fig. 2 is the process flow diagram based on the cooling-water machine management control method of cloud computing of one embodiment of the invention;
Fig. 3 is the process flow diagram based on the cooling-water machine 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 cooling-water machine management control system of cloud computing of the embodiment of the invention as shown in Figure 1 comprises based on the cooling-water machine management control system of cloud computing:
Internet of Things field controller 11, be used for to set the normal operational factor of cooling-water machine 10 and manage and control according to the normal operational factor of cooling-water machine 10 operational mode to cooling-water machine 10, and the normal operational factor of cooling-water machine 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 factor of cooling-water machine 10, and management and the control model of adjusting 11 pairs of cooling-water machines 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, impeller Correction and Control device, unit and motor oscillating Correction and Control device, 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 present embodiment adopts is the controllers that utilize technology of Internet of things research and development, is the cooling-water machine Operational Data Analysis controller with unique ip address, with cooling-water machine 10 can be corresponding one by one.The normal operational factor 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, 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 is used for gathering the actual operation parameters of cooling-water machine 10 and sends the cloud computing equipment management to and control platform 13; The actual operation parameters of cooling-water machine 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 cooling-water machine 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 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 in the situations such as fault and warning the parameter that each is relevant with cooling-water machine 10, 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 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 cooling-water machine actual operating data collector with unique ip address, with cooling-water machine 10 can be corresponding one by one.Internet of Things on-site data gathering device 12 can be various refrigerants 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 control platform 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 control platform 13 are used for management and the control model of adjusting described Internet of Things field controller 11 according to actual operation parameters and the normal operational factor of described cooling-water machine 10.The purpose of adjusting is to realize the optimization configuration of cooling-water machine 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 cooling-water machine 10 that receiver networking on-site data gathering device 12 collects and the normal operational factor of the cooling-water machine 10 set by Internet of Things field controller 11;
Whether the first judging unit 132, the normal operational factor that is used for judging the cooling-water machine 10 of the actual operation parameters of the described cooling-water machine that collects 10 and described setting mate and generate judged result;
Moving model generation unit 133, the actual operation parameters according to the described cooling-water machine 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 condition.
Moving model database 130 is for the various history run models of storage cooling-water machine 10; There are the various cooling-water machine history run model of industry standard (design standards, 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 status 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 cooling-water machine history run model is subject to the restriction of operation conditions constrained parameters usually, and the operation conditions constrained parameters are different, and corresponding cooling-water machine history run model is just different.Described operation conditions constrained parameters comprise in the applied environment parameter, design parameter, spare and accessory parts 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 geographic position, meteorologic parameter etc., design parameter comprises operation conditions, design power, measurement range, design efficiency etc., and the application places type parameter comprises the types such as market, supermarket, hotel, office building, exhibition center, machine room, industrial premises, dwelling house, national grid.The user is by the operation conditions constrained parameters of the moving model of the current generation of operation conditions constrained parameters setup unit 14 inputs, then in cooling-water machine 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 interval 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 status that then can infer this equipment is undesired, resonate, excessive wear appears in spare and accessory parts, perhaps eccentric etc., need to adjust equipment.
Control model adjustment unit 135 is used for management and control model when the judged result of the first judging unit 132 or the second judging unit 134 11 pairs of cooling-water machines 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 model 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 status 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 model have a variety of, and above-described embodiment has only provided wherein a kind of.
Easy to use for the user, the cooling-water machine 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.
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 cooling-water machine of any kind in the global range, range of application 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 process flow diagram based on the cooling-water machine 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 factor of the described cooling-water machine of the setting operational mode to described cooling-water machine, and the normal operational factor of described cooling-water machine is transferred to cloud computing equipment management and control platform; The normal operational factor 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, 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 the cloud computing equipment management to and the control platform; The actual operation parameters of described cooling-water machine 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 cooling-water machine such as the temperature, humidity, air quantity, working time, frequency of direct collection, 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 with 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.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, for example 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 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, GPRS and 3G 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 cooling-water machine and normal operational factor adjustment management and the control model to described cooling-water machine.
Owing to used cloud computing equipment management and control platform that the operation conditions of cooling-water machine 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 cooling-water machine of any kind in the global range, range of application 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 process flow diagram based on the cooling-water machine 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 cooling-water machine 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 cooling-water machine and normal operational factor 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 cooling-water machine 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 model to described cooling-water machine;
S135: adjust management and control model to described cooling-water machine.
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 cooling-water machine 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 cooling-water machine.There are the various history run models that meet industry standard (design standards, 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 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 the 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 design and operation parameter, 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, dwelling house, national grid.Certainly, other operation conditions constrained parameters can also be arranged, such as control model etc.
During the actual operation parameters of described cooling-water machine is netted by wireless INTERNET net, wired INTERNET net, GPRS, GPS, dipper system, 3G and more advanced transmission network 4G of future generation any sends cloud computing equipment management and control platform to.
The method of present embodiment is on the basis of cooling-water machine 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 model, it takes full advantage of cloud computing equipment management and the abundant characteristics of control platform historical data, has further optimized moving model.
The below does the actual functional capability explanation with handpiece Water Chilling Units operational management common in the building and control mode:
In the operational management of unit required, handpiece Water Chilling Units chilled water in service and chilled water turnover parameter should be in following scopes:
The Inlet and outlet water pressure reduction of chilled water Inlet and outlet water pressure reduction 0.1-0.15Mpa, 4-5 ℃ of the Inlet and outlet water temperature difference, chilled water is between 0.1-0.15Mpa;
4-5 ℃ of the Inlet and outlet water temperature difference of chilled water, the chilled water leaving water temperature less than 47 °F (8.5 ℃),, cooling chilled water system maximum pressure must not surpass 1.3Mpa, system's maximum pressure of chilled water must not 1 above 0.4Mpa.
After refrigeration machine works well, can collect by different internet of things data acquisition instrument the service data of handpiece Water Chilling Units, and with database in do relatively corresponding and judge whether to meet following normal service requirement:
(1) the fuel tank temperature should be between 140-150 °F, otherwise will do temperature pre-warning, and warning message shown in the corresponding link of cloud computing facilities and equipment management and control platform automatically, the interlock relevant device and do corresponding adjustment and control by corresponding Internet of Things controller.
(2) bearing return oil temperature should be between 150-175 °F, when the internet of things data acquisition instrument collects bearing return oil temperature when normal, the management of cloud computing facilities and equipment and control platform will send control signal makes corresponding Internet of Things controller with the oil heater stopped heating, when the normal value of the returning-oil temperature region of bearing return oil temperature, the management of cloud computing facilities and equipment and control platform will send control signal makes corresponding Internet of Things controller open corresponding oil heater.
(3) reading of control center's oil pressure gauge demonstration, differential pressure should be between 138-172kpa.When the internet of things data acquisition instrument collects differential pressure when too small, the management of cloud computing facilities and equipment and control platform then can send differential pressure too small several may with corresponding robotization pipeline and control measure: pipeline is revealed, counter-measure: automatically leakage detection, leak stopping;
The fuel reserve tank low on fuel, counter-measure; Automatic oiling;
Pump speed is excessively low, counter-measure: the increase of adjusting pump speed;
There is 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 control platform judge that Internet of Things oil pressure Acquisition Instrument data are too high, then can send differential pressure excessive several may with corresponding robotization pipeline and control measure:
Line clogging, counter-measure:--automatically connect pipeline);
Fuel reserve tank oil mass overfill, counter-measure:--draining is to rationally automatically);
Pump speed is too high, counter-measure:--regulate pump speed and reduce).
The control of other parameter is similar to the control of oil pressure, after parameter value is through the management of cloud computing facilities and equipment and the judgement of control platform, in case exceed normal range, then directly provide corresponding automatic management and control command by background data base, make on-the-spot Internet of Things controller do corresponding control and adjusting.Wherein, need other parameters by monitoring as follows:
(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 be lower than 65 °F.
(6) pressure of evaporator is also different because of the design conditions of main frame, its scope generally-51 between-18hg the vacuum tightness.
(7) inflow temperature of evaporator must not be higher than 32 ℃, forbids being higher than 38 ℃, and leaving water temperature is different because of the design conditions of main frame, and " comfortableness " air-conditioning water temperature generally is set in 9--7 ℃, must not be lower than 5 ℃, evaporating temperature 5-2 ℃, must not be lower than 0 ℃.
(8) the numerical value of solidifying deaerator pressure should be in half part of evaporator and condenser pressure.
Other security protections---measure; protectiveness is shut down: after the data of Internet of Things on-site data gathering instrument are through the management of cloud computing facilities and equipment and control Platform Analysis, when find that refrigeration unit emerged in operation evaporating pressure is excessively low, the fuel tank oil pressure is crossed, the chilled water leaving water temperature is excessively low, brownout, chilled water lack of water, chilled water lack of water, the faults such as main motor temperature is too high, condensing pressure is too high, excessive discharge temperature, the management of cloud computing facilities and equipment and control platform all can do by network and report to the police and give an order and realize auto stop to on-the-spot Internet of Things controller.After fault was automatically processed and eliminated, start just can reset.
In addition, these type of data when breaking down enter the historical data base model simultaneously, as analyze reference value next time.
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 cooling-water machine 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 factor of described cooling-water machine and manage and control according to the normal operational factor of the described cooling-water machine operational mode to described cooling-water machine, and the normal operational factor of described cooling-water machine 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 cooling-water machine 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 model of adjusting described Internet of Things field controller according to actual operation parameters and the normal operational factor of described 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 control platform specifically comprise:
Receiving element is used for receiving the normal operational factor 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;
Whether the first judging unit, the actual operation parameters that is used for judging described cooling-water machine mate with normal operational factor and generate judged result;
The moving model generation unit, the actual operation parameters according to described cooling-water machine 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 cooling-water machine;
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 model adjustment unit is used for judged result when described the first judging unit or described the second judging unit for to adjust described Internet of Things field controller when not mating to management and the control model of described cooling-water machine.
3. the cooling-water machine management control system based on cloud computing according to claim 1 and 2 is characterized in that 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, protection power and the motor safety rotating speed of described cooling-water machine.
4. the cooling-water machine 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 cooling-water machine.
5. the cooling-water machine management control method based on cloud computing is characterized in that, comprising:
S11: manage and control according to the normal operational factor of the described cooling-water machine of the setting operational mode to described cooling-water machine, and the normal operational factor of described cooling-water machine is transferred to cloud computing equipment management and control platform;
S12: gather the actual operation parameters of described cooling-water machine 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 cooling-water machine and normal operational factor adjustment management and the control model to described cooling-water machine.
6. the cooling-water machine 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 cooling-water machine and normal operational factor 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 cooling-water machine 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 model to described cooling-water machine;
S135: adjust management and control model to described cooling-water machine.
7. the cooling-water machine 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 cooling-water machine 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 cooling-water machine.
9. according to claim 5 or 6 described cooling-water machine management control methods based on cloud computing, it is characterized in that 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, protection power and the motor safety rotating speed of described cooling-water machine.
10. according to claim 5 or 6 described cooling-water machine management control methods based on cloud computing, it is characterized in that any during the normal operational factor of described cooling-water machine and actual operation parameters are all netted by wireless INTERNET net, wired INTERNET net, GPRS, dipper system, GPS, 3G net, 4G sends cloud computing equipment management and control platform to.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
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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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| Application Number | Priority Date | Filing Date | Title |
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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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| WO (1) | WO2013040854A1 (en) |
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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 |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| KR20220111672A (en) | 2021-02-02 | 2022-08-09 | 트루 매뉴팩쳐링 코., 인크. | Systems, methods, and appliances that enable regional control of refrigeration appliances |
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| 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 |
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| 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 |
Also Published As
| Publication number | Publication date |
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| CN103019160B (en) | 2016-03-02 |
| WO2013040854A1 (en) | 2013-03-28 |
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