CN102193525B - System and method for monitoring device based on cloud computing - Google Patents
System and method for monitoring device based on cloud computing Download PDFInfo
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- CN102193525B CN102193525B CN201010120067.0A CN201010120067A CN102193525B CN 102193525 B CN102193525 B CN 102193525B CN 201010120067 A CN201010120067 A CN 201010120067A CN 102193525 B CN102193525 B CN 102193525B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
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- G05B2219/2642—Domotique, domestic, home control, automation, smart house
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The invention discloses a system and method for monitoring a device based on cloud computing. Primarily, field control is carried out on each energy consumption device by utilizing a field controller; an energy consumption parameter acquisition unit acquires parameters related to the energy consumption of each energy consumption device; and a cloud computing management and control platform carries out centralized control according to the acquired parameters related to the energy consumption of each energy consumption device and customized parameters (design parameters). With the system and method for monitoring the device based on the cloud computing, disclosed by the invention, energy-saving platforms of all different factories can be compatible, centralized monitoring can be carried out on a large amount of energy consumption under the same unified platform, and energy saving and consumption reduction management and network automatic control can be realized to the maximum extent, thus the optimal configuration of energy sources can be realized and a better energy saving effect can be achieved.
Description
Technical field
The present invention relates to energy management control technology field, relate in particular to a kind of equipment monitoring system and method based on cloud computing.
Background technology
Along with the energy in worldwide is more and more in short supply, can realize energy-conservation energy management control system also just more and more important.
Energy management control system of the prior art adopts traditional Electric automation technology conventionally, each energy consumption equipment to single object (as market, shop, hotel, office building industrial premises) carries out managing power consumption control, belongs to the control of field level.The energy-conservation platform of management of different its uses of producer is also different, conventionally cannot be incompatible, also lack each other communication, and thereby cannot form, a unified platform is concentrated carries out unified managing power consumption control, farthest to realize energy-conservation object.
TRIDIUM company of the U.S. has developed first unified platform system and has carried out energy management, and it can compatible other energy management platform, for user provides energy consumption reference data.But the inventor finds that it still exists following problem:
1, system runs into the problem that processing speed is rapid, data protection cannot realize in the time processing a large amount of historical data;
2, system is not carried out comprehensive energy statistics, analysis and management control from aspects such as energy factor, energy policy, target energy, management system, energy consumption base stake, energy performance, energy statistics, energy source optimizations, only that energy consumption statistic result is offered to user, allow user oneself remove to revise field control mode according to statistics, thereby cannot realize the optimization configuration of the energy.
Cloud computing is the network technology growing up in recent years, and it is that calculation task is distributed on the resource pool of a large amount of computing machines formations, makes various application systems can obtain as required computing power, storage space and various software service.The platform service of the numerous and confused cloud computing based on cloud computing of releasing oneself of Ge great IT company, as Google (GOOGLE), Microsoft, Yahoo, Amazon (Amazon) etc., sum up cloud computing and there is following characteristics:
(1) ultra-large." cloud " has suitable scale, and Google cloud computing has had more than 100 ten thousand station servers, and Amazon, IBM, Microsoft, Yahoo etc. " cloud " all has hundreds of thousands station server.The privately owned cloud of enterprise generally has hundreds of thousands of station servers, and " cloud " can give user unprecedented computing power.
(2) virtual.Cloud computing support 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 user without the particular location of understanding, also do not worry application 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, computing node isomorphism is interchangeable to ensure the high reliability of service, uses cloud computing more reliable than using local computer.
(4) versatility.Cloud computing, not for specific application, can construct Protean application under the support of " cloud ", and same " cloud " can support different application operations simultaneously.
(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 resemble tap water, electricity, the such charging of coal gas.
(7) extremely cheap.Because can adopting extremely cheap node, the special fault-tolerant measure of " cloud " forms cloud, the robotization centralized management of " cloud " makes a large amount of enterprises without the day by day high data center's handling cost of burden, 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, often as long as cost hundreds of dollar, several days time need the task that tens thousand of dollars, time several months just can complete before just completing.
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 equipment monitoring system and method based on cloud computing, energy-conservation platform that can compatible all different manufacturers, under a unified platform, a lot of energy consumption equipments are concentrated and monitored, realizing energy-saving and cost-reducing management to greatest extent and networking controls automatically, thereby realize the optimization configuration of the energy, reach better energy-saving effect.
To achieve these goals, the invention provides a kind of equipment monitoring system based on cloud computing, comprising:
Field controller, for carrying out field control and send described user's setup parameter to cloud computing management console each energy consumption equipment according to user's setup parameter;
Energy consumption parameter acquisition unit, for gathering the parameter relevant with the energy consumption of described each energy consumption equipment and sending cloud computing management console to;
Cloud computing management console, adjusts the field control mode of described field controller to described each energy consumption equipment for the parameter relevant with energy consumption described each energy consumption equipment that collect described in basis and described user's setup parameter;
Between described field controller and described cloud computing management console, all intercom mutually by communication network between described energy consumption ginseng data collector and described cloud computing management console.
As preferably, described cloud computing management console specifically comprises:
Receiving element, for receiving the described energy consumption parameter acquisition unit parameter relevant with energy consumption described each energy consumption equipment that collect and described user's setup parameter;
Whether the first judging unit, mate and production judged result for the parameter relevant with energy consumption described each energy consumption equipment that collect described in judging and described user's setup parameter;
Energy consumption model generation unit, for being that coupling time generates corresponding energy consumption model according to the relevant parameter of the energy consumption of described each energy consumption equipment when the judged result of described the first judging unit;
Historical energy consumption model database, for storing various historical energy consumption models;
The second judging unit, for judging whether the energy consumption model historical energy consumption model corresponding with historical energy consumption model database of described generation mates and generate judged result;
Control model adjustment unit, for being to adjust the field control mode of described field controller to described each energy consumption equipment while not mating when the judged result of described the first judging unit or described the second judging unit.
As preferably, the described relevant parameter of the energy consumption with described each energy consumption equipment comprises real time energy consumption parameter, operational factor and security parameter.Wherein, real time energy consumption parameter is often referred to the directly electrical parameter of each energy consumption equipment of collection of electric metering outfit, operational factor relevant parameter while comprising the operation of each energy consumption equipment of temperature, humidity, air quantity, working time, frequency etc., security parameter comprises the relevant parameter of each energy consumption equipment in the situations such as running status, fault, warning.
As preferably, historical energy consumption model corresponding in described historical energy consumption model database refers to the historical energy consumption model that power consumption constraint parameter is mated with the energy consumption model of described generation, a kind of or its combination described in described power consumption constraint parameter comprises in applied environment parameter, design parameter, application places type parameter and the energy supply type parameter of each energy consumption equipment.In historical energy consumption model database, there are the various historical energy consumption models that meet industry standard (design standards), these historical energy consumption models have been considered the evaluation criterions such as energy consumption mark post, efficiency mark post, performance mark post, and energy consumption is the most rational comparatively speaking.The foundation of historical energy consumption model is subject to the restriction of power consumption constraint parameter conventionally, power consumption constraint parameter difference, and corresponding historical energy consumption model is just different.The applied environment parameter of each energy consumption equipment comprises geographic position, meteorologic parameter etc., design parameter comprise design power, measurement range and, design energy consumption parameter, design efficiency etc., application places type parameter comprises market, supermarket, hotel, office building, exhibition center, machine room, industrial premises, house, national grid etc., and energy supply type parameter comprises coal, electric power, rock gas, oil, biomass energy, heat energy, renewable sources of energy etc.Certainly, also have other power consumption constraint parameters, such as control model etc.
As preferably, all corresponding network address based on IPV4 agreement of described energy consumption ginseng data collector and described field controller or the network address based on IPV6 agreement.
As preferably, described user's setup parameter all sends cloud computing management console to by communication network with the parameter relevant with energy consumption described each energy consumption equipment that collect, and described communication network is any in wireless INTERNET net, wired INTERNET net, GPRS and 3G net.
As preferably, described field controller comprises network temperature-humidity controller; Described energy consumption parameter acquisition unit comprises network temperature-humidity sensor; Described control model adjustment unit dynamically arranges and sets humiture value for the control model of described network temperature-humidity controller being adjusted into according to thermal load compensated curve.
As preferably, described field controller comprises network blast volume controller; Described energy consumption parameter acquisition unit comprises gas concentration lwevel sensor; Described control model adjustment unit regulates air quantity wind speed for the control model of described network blast volume controller being adjusted into the gas concentration lwevel gathering according to described gas concentration lwevel sensor.
To achieve these goals, the present invention also provides a kind of apparatus monitoring method based on cloud computing, comprising:
S11: each energy consumption equipment is carried out field control and sent described user's setup parameter to cloud computing management console according to user's setup parameter;
S12: gather the parameter relevant with the energy consumption of described each energy consumption equipment and send cloud computing management console to;
S13: under cloud computing management console according to described in the parameter relevant with energy consumption described each energy consumption equipment that collect and described user's setup parameter adjust the field control mode to described each energy consumption equipment.
As preferably, described S13 step specifically comprises:
S131: whether the parameter relevant with energy consumption described each energy consumption equipment that collect described in judgement and described user's setup parameter mate; If do not mated, carry out S135 step, if coupling is carried out S132 step;
S132: generate corresponding energy consumption model according to the relevant parameter of the energy consumption of described each energy consumption equipment;
S133: judge whether the energy consumption model of described generation mates with historical energy consumption model corresponding in historical energy consumption model database; If do not mated, carry out S135 step, if coupling is carried out S134 step, keep the field control mode of described each energy consumption equipment;
S135: adjust the field control mode to described each energy consumption equipment.
As preferably, carry out after described S134 step, also comprise S136 step, the energy consumption model of described generation is joined in described historical energy consumption model database.
Beneficial effect of the present invention is, energy-conservation platform that can compatible all different manufacturers, under a unified platform, a lot of energy consumption equipment are concentrated and monitored, realizing energy-saving and cost-reducing management to greatest extent and networking controls automatically, thereby realize the optimization configuration of the energy, reach better energy-saving effect.
Accompanying drawing explanation
Fig. 1 is the structural representation of the equipment monitoring system based on cloud computing of the embodiment of the present invention;
Fig. 2 is the process flow diagram of the apparatus monitoring method based on cloud computing of one embodiment of the invention;
Fig. 3 is the process flow diagram of the apparatus monitoring method based on 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 of the equipment monitoring system based on cloud computing of the embodiment of the present invention as shown in Figure 1, the equipment monitoring system based on cloud computing comprises:
Energy consumption parameter acquisition unit 12, for gathering the parameter relevant with the energy consumption of described each energy consumption equipment 10 and sending cloud computing management console 13 to; The parameter relevant with the energy consumption of described each energy consumption equipment comprises real time energy consumption parameter, operational factor and security parameter.Wherein, real time energy consumption parameter is often referred to the directly electrical parameter of each energy consumption equipment of collection of electric metering outfit, operational factor relevant parameter while comprising the operation of each energy consumption equipment of temperature, humidity, air quantity, working time, frequency etc., security parameter comprises the relevant parameter of each energy consumption equipment in the situations such as running status, fault, warning.Energy consumption parameter acquisition unit 12 is generally by all kinds of sensor, data statisticss with network transmission function with gather unit, data analysis and uploading unit etc. and form, complete collection and the rough estimates analytic function of data, its actual quantity is to set as required, may have a lot of energy consumption parameter acquisition units.Sensor can be diverse network temperature sensor, network humidity sensor, network air flow sensor, network watt metering sensor, network air velocity transducer, network air quality sensor, electromechanical equipment operational factor network collection device, network access, security protection, alerting signal collector, distinctive signal network collection device (as CO, CO2, formaldehyde, current etc.) etc.The energy consumption parameter collecting is transferred to cloud computing management console 13 by communication network 20, and communication network 20 can be wireless INTERNET net, wired INTERNET net, GPRS and 3G net or more advanced transmission network of future generation etc.
Current internet is based on IPV4 agreement, and IPV4 agreement adopts 32 bit address length, and limited address space is about to exhaust.Therefore in the equipment monitoring system of extensive quantity, field controller 11 and energy consumption parameter acquisition unit 12 can adopt the network address based on IPV6 agreement, IPV6 agreement adopts 128 bit address length, for the whole earth, its address resource can be thought unlimited (every square metre can be distributed more than 1000 network address), even can adapt to the equipment monitoring system in global range.
Cloud computing management console 13, adjusts the field control mode of described field controller 11 to described each energy consumption equipment 10 for relevant parameter and the described user's setup parameter of the energy consumption with described each energy consumption equipment 10 collecting described in basis.The object of adjusting is to realize the optimization configuration of the energy, reduces energy consumption.The cloud computing management console 13 of the present embodiment specifically comprises:
Receiving element 131, for receiving described energy consumption parameter acquisition unit 12 energy consumption that collect and described each energy consumption equipment 10 relevant parameter and described user's setup parameter;
Whether the first judging unit 132, mate and production judged result for relevant parameter and the described user's setup parameter of the energy consumption with described each energy consumption equipment 10 collecting described in judging;
Energy consumption model generation unit 133, for being that coupling time generates corresponding energy consumption model according to the relevant parameter of the energy consumption of described each energy consumption equipment when the judged result of described the first judging unit; Energy consumption model comprises entirety power consumption and operation power consumption etc. index.
Historical energy consumption model database 130, for storing various historical energy consumption models; In historical energy consumption model database, there are the various optimum energy consumption models that meet the historical energy consumption model of industry standard (design standards) and arranged or admit by the file such as related specifications, standard, these historical energy consumption models have been considered the evaluation criterions such as energy consumption mark post, efficiency mark post, performance mark post, and energy consumption is the most rational comparatively speaking.
The second judging unit 134, for judging whether the energy consumption model historical energy consumption model corresponding with historical energy consumption model database of described generation mates and generate judged result; The foundation of historical energy consumption model is subject to the restriction of power consumption constraint parameter conventionally, power consumption constraint parameter difference, and corresponding historical energy consumption model is just different.Described power consumption constraint parameter comprises a kind of or its combination in applied environment parameter, design parameter, application places type parameter and the energy supply type parameter of described each energy consumption equipment and the combination with other constrained parameters (as control model).The applied environment parameter of each energy consumption equipment comprises geographic position, meteorologic parameter etc., design parameter comprise design power, measurement range and, design energy consumption parameter, design efficiency etc., application places type parameter comprises market, supermarket, hotel, office building, exhibition center, machine room, industrial premises, house, national grid etc., and energy supply type parameter comprises coal, electric power, rock gas, oil, biomass energy, heat energy, renewable sources of energy etc.User inputs the power consumption constraint parameter of the energy consumption model of current generation by power consumption constraint setting parameter unit 14, then in historical energy consumption model database 130, find corresponding historical energy consumption model (being the historical energy consumption model that energy consumption constrained parameters mate with the energy consumption model of described generation) according to these power consumption constraint parameters, judge again whether the energy consumption model generating mates with corresponding historical energy consumption model, if it is unreasonable not mate explanation energy consumption, need to adjust.The energy consumption model unit plane 200～300kWh that consumes energy for many years for example generating, and the 100kWh left and right of consuming energy for many years of the historical energy consumption model unit plane with same consumption energy constrained parameters illustrates that energy consumption is unreasonable, need to adjust.
Control model adjustment unit 135, for being to adjust the field control mode of described field controller 11 to described each energy consumption equipment 10 while not mating when the judged result of described the first judging unit 132 or described the second judging unit 134.Do not mate explanation energy consumption undesirable, need to reduce energy consumption to field control mode adjustment, until energy consumption coupling, thereby realize the optimization configuration of energy consumption.When the judged result of described the first judging unit 132 is not when mating, illustrate that energy consumption cannot reach the requirement that user sets, and need to directly adjust; When the judged result of described the second judging unit 134 is not when mating, although illustrate that energy consumption can reach user and set requirement, but not also optimum, do not consider the evaluation criterions such as energy consumption mark post, efficiency mark post, performance mark post, further reduce energy consumption thereby be necessary to adjust.If when the judged result of described the second judging unit 134 is coupling, illustrate that the energy consumption model of producing is reasonably satisfactory, the energy consumption model of described generation is joined in described historical energy consumption model database, enrich historical data, for follow-up managing power consumption control provides reference.
Certainly, cloud computing management console 13 has a variety of to the control model of field controller 11, and above-described embodiment has only provided one wherein.
Easy to use for user, the equipment monitoring system based on cloud computing of the present embodiment can be made display interface intuitively, and user only need to manage control by display interface.
Use cloud computing management console 13 to carry out the advantage of energy management control fairly obvious, the scale of cloud computing and the feature of extensibility can realize ultra-large energy consumption centralized control, can realize theoretically the energy management control of any kind in global range, comprise that building energy consumption management is controlled, electric power transports managing power consumption control etc., range of application is wider; When the virtualized feature of cloud computing makes each user carry out managing power consumption control without configuring separately independently energy management control platform, but in " cloud " as required obtain, greatly reduce cost; The feature of the resource sharing of cloud computing makes the interior historical data of whole control platform very abundant, can mate best historical data as a reference, thereby realizes the optimization configuration of the energy.
Take the managing power consumption control of certain building as example, the application process of the equipment monitoring system based on cloud computing of the present embodiment is described below.
This building belongs to commercial affairs building, gross building area approximately 38,000 square metre, be positioned at somewhere, structural design is reinforced concrete frame-core wall structure, without rod structure, energy consumption equipment is mainly divided into cold and heat source system, air conditioner ventilating system, supply and drain water system, light socket system, elevator device, large-sized power plant system etc.Partial design normative reference is as follows:
1, cold source of air conditioning is electric refrigeration system, 7 ℃ of supply water temperatures, and return water temperature is 12 ℃.Air conditioning heat is municipal high-temperature-hot-water, 110 ℃ of municipal water supply water temperatures, 70 ℃ of return water temperatures.Air conditioning hot is confessed after heat exchange, 60 ℃ of air conditioner water supply water temperatures, 50 ℃ of return water temperatures.
2, chilled water and cooling water system working pressure are 1.5Mpa, and experimental pressure is that working pressure adds 0.5Mpa.Hot-water heating system working pressure is 1.5Mpa, and experimental pressure is that working pressure adds 0.5Mpa.
3, at the outdoor air enthalpy inductor of establishing, in the time that outdoor temperature reaches suitable enthalpy, open all-fresh air system, stop hot and cold water supply.Or during lower than certain value, open free refrigeration system at enthalpy, stop air-conditioner host.
4, indoor design temperature: 25 ℃ of summers, relative humidity 55%, 20 ℃ of winters, relative humidity 30%; 50 cubic metres/people of resh air requirement/hour;
5, outdoor parameter reference value:
33.2 ℃ of the outdoor calculating dry-bulb temperatures of summer air-conditioning
26.4 ℃ of the outdoor calculating wet-bulb temperature of summer air-conditioning
30 ℃ of outdoor design temperature for summer ventilations
Summer outdoor mean wind speed 1.9m/s
The outdoor calculating of winter air-conditioning dry-bulb temperature-12 ℃
The outdoor calculating relative humidity 45% of winter air-conditioning
The outdoor calculating of winter heating dry-bulb temperature-9 ℃
Outdoor design temperature for winter vemtilation-5 ℃
Winter outdoor mean wind speed 2.8m/s
Industry unit's floor area of building energy consumption normative reference of different kinds of building is as follows:
1, to build general energy consumption lower for office building class, and unit plane is power consumption 100kWh left and right for many years;
2, hotel's class building power consumption is slightly high, and unit plane is power consumption 100～200kWh left and right for many years:
3, market class building current consuming apparatus is more, and its lighting quantity is large, and the large and long operational time of air-conditioning system place capacity, compares with other types building, and market class building year unit area power consumption is larger, is 200～300kWh substantially;
4, comprehensive commercial building is due to the groups of building that comprise polytype building, and the area ratio difference of all kinds building, the variation of its energy consumption is also different, and its unit plane of comprehensive commercial building for many years power consumption is 100～300kWh.
It is as follows that equipment monitoring system based on cloud computing carries out energy management control procedure to it:
One, complete detecting sensor and data message login work by scene equipment level
Scene equipment level: comprise energy consumption parameter acquisition unit 12 (being generally various kinds of sensors) and field controller 11, energy consumption parameter acquisition unit 12 mainly completes various types of signal collection, and field controller 11 mainly carries out field control to corresponding energy consumption equipment.
All signals directly access IP network by switch, are uploaded to collection, storage, the statistics and analysis database of the signal of the equipment monitoring system based on cloud computing by internet (wireless or wired mode all can).
The relevant design parameter of energy consumption equipment and building is logined by cloud computing platform, and information enters device signal collection, storage, statistics, analysis and the model database of cloud computing energy management and control system.
Whole system framework is based on Ethernet (Lan/Wan), adopt ICP/IP protocol, cloud computing management console can pass through OBIX, SNMP, and (field controller and the energy consumption parameter acquisition unit) communication of the agreements such as XML and fielded system also obtains data.Mainly obtain following data:
◆ the various detailed status at reference mark, fault, operation etc. data,
◆ warning summary table
◆ record each equipment energy resource consumption data by electric gage probe or by calculating
◆ the relevant design parameter of all energy consumption equipment and building
Two, realize the analysis of data and relevant control by control and analysis layer
Other controller of field level is realized field level according to detection signal and user's goal-setting parameter to corresponding equipment at the scene, and other is controlled, and various types of signal is uploaded to device signal collection, storage, the statistics and analysis database of cloud computing energy management and control system.
Take the temperature control of air-conditioning unit as example, field controller can be realized the content of controlling to air-conditioning unit and comprise:
A, on off control: complete on off control according to start stop command signal;
The adjusting control of B, temperature, humidity: in winter, when indoor or wind pushing temperature is higher than setting value (T=20 ℃), control and turn down water valve by PID, when indoor or wind pushing temperature is driven large water valve during lower than setting value.In summer, when indoor or wind pushing temperature is higher than setting value (T=26 ℃), control out flood valve opening by PID, when indoor or wind pushing temperature turns down water valve during lower than setting value; Humidity is carried out equally;
The control of C, resh air requirement: regulate and realize air quantity control by the ratio of air-valve, 50 cubic metres/people of maintenance air quantity/hour; ;
The signals such as the electricity metering of D, cumulative measurement to the unit operation time, the number of starts, working time, motor record and upload; Main signal is as follows:
◆ send blower fan running status, fan airflow state, hand automatic status monitoring, on off control back to;
◆ send fan frequency converter feedback, frequency converter monitoring, frequency converter adjusting control back to;
◆ return air temperature/moisture measurement, return air CO2 measurement of concetration;
◆ air-supply temperature/moisture measurement;
◆ hot water or cold water's coil pipe water valve regulates to be controlled;
◆ new, air returning valve regulates to be controlled;
◆ humidifier valve regulates to be controlled.
The Energy Saving Control of E, motor: by controller, the adjusting of frequency converter is realized, when in the situation that the air output of indoor needs changes, realize Energy Saving Control thereby reduce as far as possible motor speed on the basis that guarantees resh air requirement.
Three, the monitoring of tools based on cloud computing
First judge at cloud computing control analysis platform more whether the parameter that the parameter that collects and user set mates, if coupling keeps existing control model, calculates the energy consumption of the whole building total energy consumption of stack and parameters index, generates energy consumption model; If do not mated, need to adjust in time control model.The main parameter index of considering has:
■ building energy consumption total quantity index;
The conventional total energy consumption index of ■;
■ special area total energy consumption index;
■ energy consumption of HVAC index:
1) air conditioner ventilating system energy consumption index; 2) heating system energy consumption index;
■ illuminator energy consumption index:
1) general lighting; 2) emergency lighting; 3) Landscape Lighting;
■ indoor equipment energy consumption index;
■ integrated service system energy consumption index;
■ building water consumption total quantity index; Etc..
Then judge that in cloud computing service data model platform whether the energy consumption model generating meets industry standard, if do not met, also needs to adjust control model, further to reduce energy consumption.In cloud computing service data model platform, there are the various historical energy consumption models that meet industry standard (design standards), the energy consumption model of generation and corresponding historical energy consumption model are contrasted, if power consumption is higher than historical energy consumption model, need to adjust control model, if lower than historical energy consumption model, keep existing control model constant, and the energy consumption model generating is incorporated as to historical energy consumption model.Below provide several frequently seen control model as a reference:
A, indoor temperature and humidity control model: according to different building types, build respectively and control the different Temperature and Humidity Control model of details, improve control accuracy.Main Basis is that thermal load compensated curve arranges unsteady set point (being no longer single fixed point), more effectively automatically adjusts indoor temperature setting value, in the scope that Shi Qi mansion load allows, saves as much as possible energy.Field controller comprises network temperature-humidity controller in this case; Described energy consumption parameter acquisition unit comprises network temperature-humidity sensor; Described control model adjustment unit is adjusted into the control model of described network temperature-humidity controller according to thermal load compensated curve and dynamically arranges and set humiture value.
The variation of indoor temperature and humidity and building energy conservation have correlativity closely.Show according to NBS's statistical data, if set-point temperature is lowered to 1 ℃ in summer, by the energy consumption that increases by 9%, if in the winter time set-point temperature is raised to 1 ℃, by the energy consumption that increases by 12%.Therefore indoor temperature and humidity being controlled in setting value accuracy rating is the effective measures of air conditioner energy saving.
Possible in the situation that, can realize requirement to indoor temperature and humidity control accuracy is: temperature is ± 1.5 ℃, the variation range that humidity is ± 5%.Avoid so as far as possible occurring room temperature in summer excessively cold (lower than typical set value) or room temperature in winter overheated (higher than typical set value) phenomenon, thereby realize energy-saving and cost-reducing.
B, outdoor climate Compensation Regulation model: cloud computing energy management and control platform according to outdoor temperature humidity with seasonal variations situation, change the setting of indoor temperature, make its needs that more meet people, give full play to the function of air-conditioning equipment.In the time that outdoor temperature reaches suitable enthalpy, open all-fresh air system, stop hot and cold water supply.Or during lower than certain value, open free refrigeration system at enthalpy, stop air-conditioner host.
The control model of C, resh air requirement
According to hygienic requirements, in building, everyone must ensure certain resh air requirement.But resh air requirement has got many, will increase new invisible waste energy.At design conditions (summer 26 ℃ of outdoor temps, relative temperature 60%, winter 22 ℃ of room temperatures, relative humidity 55%) under, process one kilogram (kilogram) outdoor resh air requirement chilling requirement 6.5kWh, heat 12.7kWh, therefore meeting under the prerequisite of indoor sanitation requirement, reduce resh air requirement, have the energy-saving effect showing.Implement the main several controlling elements of resh air requirement control model:
1) determine resh air requirement according to indoor permission carbon dioxide (C02) concentration, CO2 safe level value is generally got 0.1% (1000ppm).According to the CO2 concentration in indoor or return air, automatically regulate resh air requirement, to guarantee the freshness of room air, control the more perfect equipments of building automation system of function and can meet these control requirements.Regulate air quantity wind speed according to gas concentration lwevel, reflected indoor actual conditions, can be energy-conservation to greatest extent.
2) according to the Fluctuation of personnel in mansion, adopt statistical method, set up new wind air-valve control model, determine that with the corresponding time working procedure carries out the new wind air-valve of process control, to reach the control to new wind air quantity.
3) using new wind and return air recently to adjust, affect by controlling temperature is not the Main Basis that regulates new air-valve, regulate temperature mainly to be completed by table low temperature valve, if the adjusting of air-valve is also based on temperature, on controlling, two equipment are subject to the impact of a parameter simultaneously and all make great efforts simultaneously parameter is tended towards stability so, and result is exactly that system produces self-excitation, can or not be difficult to reach stable, so can amplify the dead band value of new wind adjusting temperature, making air-valve is coarse adjustment, water valve is accurate adjustment.New wind in air-conditioning system accounts for the number percent of air output should be lower than 10%.No matter it is how many that everyone accounts for room volume, resh air requirement adopts by being more than or equal to 30m3/h. people.
D, control model to the best start and stop of electromechanical equipment:
Cloud computing management console, by calculating and the adaptive control of the best start-stop time to air-conditioning equipment, can guarantee under the prerequisite of amenity, shortens the tolerant time of unnecessary air-conditioning start and stop, reaches energy-conservation object; Simultaneously, in the time of precooling or preheating, close new wind air-valve, not only can reduce place capacity, and can reduce and obtain new wind and bring energy consumption cooling or heating.Can consider the step control method of blower fan for low power blower fan or the blower fan with soft start, if use properly, generally each hour blower fan only moves 40～50 minutes, and energy-saving effect is obvious.Air-conditioning equipment adopts after energy-saving run algorithm, and working time is more rational.Data recording shows, actual for the workable cumulative time only about 2 hours in every air conditioner one day 24 hours.
E, lamp lighting system control model
Public illumination equipment is carried out to time switch control, carry out pre-journey brightness adjustment control and window border brightness adjustment control according to daily schedule and outdoor light, can greatly reduce energy resource consumption.
F, the poor control model of peak-to-valley value electricity price:
Make full use of the policy of time-of-use tariffs, cloud computing energy management and control plateform system are made rational ice cold-storage control strategy, and in the time of peak of power consumption, select some relatively unessential electromechanical equipment in removal mansion to reduce peak load, or drop into emergency generator and discharge the measure such as cold of storage, realization keeps away peak operation, reduces operating cost.
G, control to air-conditioner water system balance and variable-flow:
Heat interchange essence according to air-conditioning system: the air-supply air-flow that the water of certain flow drives by surface cooler and blower fan carries out energy exchange, therefore the efficiency of energy exchange is not only relevant on the impact of the thermal efficiency with wind speed and surface cooler temperature, simultaneously more relevant to cold and hot water supply flow and the thermal efficiency.
Cloud computing management console is by (dividing for backwater with respect to air-conditioning system air-conditioning system distal-most end and most proximal end, water collector) the flow of air conditioner under different energy supply states and different running status and the known air-conditioning system of analysis of controlling the measurement parameter of effect there is obvious dynamic characteristic, in running status, cloud computing energy management and control system are dynamically regulating the variable valve of each air conditioner according to the actual needs of heat interchange, control flow and carry out respective change, therefore total confession circling water flow rate value is also all the time in continuous variation, in order to respond this variation, for pressure of return water poor must with adjust to some extent in the hope of new balance.Set up variable-flow control mathematical model (algorithm) with historical data by experiment, air-conditioning water supply and return system is become to closed-loop system from open cycle system.
Measured data shows, in the time that air processing machine flow reaches rated flow operating mode, variable valve pressure at two ends is only 0.66kg/cm2-1kg/cm2.Dynamically adjust according to air processing machine actual motion number of units and operating flux operating mode the number of units that make-up pump puts into operation, and the fine setting of auxiliary by-pass valve reaches the mode of variable-flow control, can avoid leaking, improve control accuracy, and reduce unnecessary flow loss and power redundancy, thereby bring obvious energy-saving effect.Calculate according to real data, energy-saving effect is more than 25%.And will, for circling water flow rate dynamic parameter as feedback quantity, adjust the operating condition of handpiece Water Chilling Units, realize obvious energy conservation and consumption reduction effects.
Because intelligent building scientifically uses Energy Saving Control pattern and the algorithm of cloud computing management console, dynamically adjustment equipment operation, overcomes the energy dissipation that the place capacity brought due to HVAC design and power redundancy cause effectively.According to statistics, in the adjusting of heating system, offer in advance water supply, the return water temperature of determining boiler room with the daily mean temperatures of 48 hours, than heating by rule of thumb, in the situation that guaranteeing that room temperature is not less than 18 ℃, can save about 3% the energy.Just adopted weather compensation mode and just can save 3%～5% the energy, and native system heat supply part can automatically detect outdoor temperature and gather indoor temperature, the important evidence take it as heating demand, heating season economize energy be not less than 5%.
H, spring transition mode, autumn transition mode control model:
1) the outdoor calculating of the history of this area (dry bulb) thermograph, 2) be whether outdoor daily mean temperature reaches 10C °.In the time meeting above-mentioned two conditions, enter transition season pattern in spring, now system is by according to the size of timetable automatic adjusting air conditioning group resh air requirement, to guarantee indoor comfort level.
In the time that outdoor maximum temperature exceedes 26C °, system will be taked the control model of transition season in autumn, adopts the way purging night, makes full use of outdoor cool air clean rooms and the waste heat in room is taken away.Purge time can be followed according to the variation of weather and be adjusted, and sweeps wind system Main Basis thermal load curve night, rather than main service time program.
1) history of this area outdoor (dry bulb) thermograph, 2) be whether outdoor daily mean temperature reaches 8C °.While meeting above-mentioned two conditions, system enters transition season pattern in autumn, now system by according to operation hot humidity load curve and the size of timetable automatic adjusting air conditioning group resh air requirement.If but outdoor maximum temperature during lower than 15C °, system will be taked the control model of transition season in spring, cancels the way that purge night.
The control model in I, employing equivalent temperature and region
Human body is more responsive for the reaction of temperature, but want blunt a lot of for the reaction of relative humidity, relative humidity reaction of human body between 35%～65% is more blunt, but surmounts after 65% or lower than 35%, and human body is to very fierce etc. the principle of the reaction of humidity.In energy management control procedure, not single employing temperature, as controlling index, is to control index but adopt comfort level, uses equivalent temperature for controlling index (T=25 ℃, φ=50%).Except adopting equivalent temperature as controlling index, also to adopt the method for Region control, be human body to external world environment in certain area, feel it is all pleasant, so there is no need equivalent temperature to be controlled at a point, but be controlled in certain scope, can make like this system be more prone to stable, can be very effective energy-conservation, only this item technology year energy-conservation just can save 10% on the basis of common strategy again.
The model algorithm kind of cloud computing management console has a variety of, mainly be divided into regular algorithm and Event triggered algorithm, wherein regularly algorithm comprises: algebraic manipulation, total value calculating, operation hours, boolean Boolean computing, Data Integration, piecewise linear function, maximum and minimum value record etc., Event triggered algorithm comprises: the warning of form task and presented event, site groups group control, region or cohort warning, unitized construction etc.Selection algorithm according to specific needs when use, sets up and controls model.
The process flow diagram of the apparatus monitoring method based on cloud computing of one embodiment of the invention as shown in Figure 2, the method comprises:
S11: each energy consumption equipment is carried out field control and sent described user's setup parameter to cloud computing management console according to user's setup parameter;
S12: gather the parameter relevant with the energy consumption of described each energy consumption equipment and send cloud computing management console to; The described relevant parameter of the energy consumption with described each energy consumption equipment comprises real time energy consumption parameter, operational factor and security parameter.Wherein, real time energy consumption parameter is often referred to the directly electrical parameter of each energy consumption equipment of collection of electric metering outfit, operational factor relevant parameter while comprising the operation of each energy consumption equipment of temperature, humidity, air quantity, working time, frequency etc., security parameter comprises the relevant parameter of each energy consumption equipment in the situations such as running status, fault, warning.The relevant parameter of energy consumption described and each energy consumption equipment sends cloud computing management console to by any in wireless INTERNET net, wired INTERNET net, GPRS and 3G net.
S13: under cloud computing management console according to described in the parameter relevant with energy consumption described each energy consumption equipment that collect and described user's setup parameter adjust the field control mode to described each energy consumption equipment.
Owing to having used cloud computing management console to carry out energy management control, the scale of cloud computing and the feature of extensibility can realize ultra-large energy consumption centralized control, can realize theoretically the energy management control of any kind in global range, comprise that building energy consumption management is controlled, electric power transports managing power consumption control etc., range of application is wider; When the virtualized feature of cloud computing makes each user carry out managing power consumption control without configuring separately independently energy management control platform, but in " cloud " as required obtain, greatly reduce cost; The feature of the resource sharing of cloud computing makes the interior historical data of whole control platform very abundant, can mate best historical data as a reference, thereby realizes the optimization configuration of the energy.
The process flow diagram of the apparatus monitoring 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 apparatus monitoring method based on cloud computing shown in Fig. 2, and described S13 step specifically comprises:
S131: whether the parameter relevant with energy consumption described each energy consumption equipment that collect described in judgement and described user's setup parameter mate; If do not mated, carry out S135 step, if coupling is carried out S132 step;
S132: generate corresponding energy consumption model according to the relevant parameter of the energy consumption of described each energy consumption equipment;
S133: judge whether the energy consumption model of described generation mates with historical energy consumption model corresponding in historical energy consumption model database; If do not mated, carry out S135 step, if coupling is carried out S134 step, keep the field control mode of described each energy consumption equipment; Historical energy consumption model corresponding in described historical energy consumption model database refers to the historical energy consumption model that power consumption constraint parameter is mated with the energy consumption model of described generation, a kind of or its combination described in described power consumption constraint parameter comprises in applied environment parameter, design parameter, application places type parameter and the energy supply type parameter of each energy consumption equipment.
S135: adjust the field control mode to described each energy consumption equipment.
Carry out after described S134 step, also comprise S136 step, the energy consumption model of described generation is joined in described historical energy consumption model database, enrich historical data, for follow-up managing power consumption control provides reference.
More detailed introduction please refer to the statement in the above-mentioned equipment monitoring system embodiment based on cloud computing.
The method of the present embodiment is on the basis of the apparatus monitoring method based on cloud computing shown in Fig. 2, specifically provide a kind of method of how adjusting the control model of described field controller under cloud computing management console, it takes full advantage of the abundant feature of cloud computing management console historical data, further optimize energy consumption model, reduced energy consumption.
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 that add.Those skilled in the art can, in essence of the present invention and protection domain, make various modifications or be equal to replacement the present invention, this modification or be equal to replacement and also should be considered as dropping in protection scope of the present invention.
Claims (8)
1. the equipment monitoring system based on cloud computing, is characterized in that, comprising:
Field controller, for carrying out field control and send described user's setup parameter to cloud computing management console each energy consumption equipment according to user's setup parameter;
Energy consumption parameter acquisition unit, for gathering the parameter relevant with the energy consumption of described each energy consumption equipment and sending cloud computing management console to;
Cloud computing management console, adjusts the field control mode of described field controller to described each energy consumption equipment for the parameter relevant with energy consumption described each energy consumption equipment that collect described in basis and described user's setup parameter;
Between described field controller and described cloud computing management console, all intercom mutually by communication network between described energy consumption parameter acquisition unit and described cloud computing management console;
Described cloud computing management console specifically comprises:
Receiving element, for receiving the described energy consumption parameter acquisition unit parameter relevant with energy consumption described each energy consumption equipment that collect and described user's setup parameter;
Whether the first judging unit, mate and generate judged result for the parameter relevant with energy consumption described each energy consumption equipment that collect described in judging and described user's setup parameter;
Energy consumption model generation unit, for being that coupling time generates corresponding energy consumption model according to the relevant parameter of the energy consumption of described each energy consumption equipment when the judged result of described the first judging unit;
Historical energy consumption model database, for storing various historical energy consumption models;
The second judging unit, for judging whether the energy consumption model historical energy consumption model corresponding with historical energy consumption model database of described generation mates and generate judged result;
Control model adjustment unit, for being to adjust the field control mode of described field controller to described each energy consumption equipment while not mating when the judged result of described the first judging unit or described the second judging unit.
2. the equipment monitoring system based on cloud computing according to claim 1, is characterized in that, the described relevant parameter of the energy consumption with described each energy consumption equipment comprises real time energy consumption parameter, operational factor and security parameter.
3. the equipment monitoring system based on cloud computing according to claim 1, is characterized in that, all corresponding network address based on IPV4 agreement of described energy consumption parameter acquisition unit and described field controller or the network address based on IPV6 agreement.
4. the equipment monitoring system based on cloud computing according to claim 1, it is characterized in that, historical energy consumption model corresponding in described historical energy consumption model database refers to the historical energy consumption model that power consumption constraint parameter is mated with the energy consumption model of described generation, a kind of or its combination described in described power consumption constraint parameter comprises in applied environment parameter, design parameter, application places type parameter and the energy supply type parameter of each energy consumption equipment.
5. the equipment monitoring system based on cloud computing according to claim 1, is characterized in that, described field controller comprises network temperature-humidity controller; Described energy consumption parameter acquisition unit comprises network temperature-humidity sensor; Described control model adjustment unit dynamically arranges and sets humiture value for the control model of described network temperature-humidity controller being adjusted into according to thermal load compensated curve.
6. the equipment monitoring system based on cloud computing according to claim 1, is characterized in that, described field controller comprises network blast volume controller; Described energy consumption parameter acquisition unit comprises gas concentration lwevel sensor; Described control model adjustment unit regulates air quantity wind speed for the control model of described network blast volume controller being adjusted into the gas concentration lwevel gathering according to described gas concentration lwevel sensor.
7. the apparatus monitoring method based on cloud computing, is characterized in that, comprising:
S11: each energy consumption equipment is carried out field control and sent described user's setup parameter to cloud computing management console according to user's setup parameter;
S12: gather the parameter relevant with the energy consumption of described each energy consumption equipment and send cloud computing management console to;
S13: under cloud computing management console according to described in the parameter relevant with energy consumption described each energy consumption equipment that collect and described user's setup parameter adjust the field control mode to described each energy consumption equipment, described S13 step specifically comprises:
S131: whether the parameter relevant with energy consumption described each energy consumption equipment that collect described in judgement and described user's setup parameter mate; If do not mated, carry out S135 step, if coupling is carried out S132 step;
S132: generate corresponding energy consumption model according to the relevant parameter of the energy consumption of described each energy consumption equipment;
S133: judge whether the energy consumption model of described generation mates with historical energy consumption model corresponding in historical energy consumption model database; If do not mated, carry out S135 step, if coupling is carried out S134 step, keep the field control mode of described each energy consumption equipment;
S135: adjust the field control mode to described each energy consumption equipment.
8. the apparatus monitoring method based on cloud computing according to claim 7, is characterized in that, carries out after described S134 step, also comprises S136 step, and the energy consumption model of described generation is joined in described historical energy consumption model database.
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| CN201010120067.0A CN102193525B (en) | 2010-03-05 | 2010-03-05 | System and method for monitoring device based on cloud computing |
| PCT/CN2010/001362 WO2011106914A1 (en) | 2010-03-05 | 2010-09-07 | Device monitoring system and method based on cloud computing |
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