CN102541015A - Intelligent energy efficiency control system and method - Google Patents

Abstract

The invention is suitable for the technical field of energy conservation and provides an intelligent energy efficiency control system. The system comprises a data acquisition device which is used for acquiring the operation parameter data of an energy using terminal according to a preset data acquisition cycle, an energy efficiency data processing server which is used for receiving the operation parameter data of the energy using terminal, which is acquired by the data acquisition device, calculating the energy efficiency value of the energy using terminal according to a predetermined energy efficiency calculation model and the environment model of the terminal, and transmitting the energy efficiency value to a control server, the control server which is used for outputting an optimization policy according to the energy efficiency value of the energy using terminal, which is transmitted by the data processing server, and terminal energy efficiency stored in a decision knowledge library, and outputting an energy source output control signal to the energy using terminal, the decision knowledge library which is used for providing the terminal energy efficiency output optimization policy for the control server, and an energy source output control device which is used for controlling the energy using terminal to output an energy source according to the energy source output control signal transmitted by the control server. Therefore, the energy source utilization rate is improved.

Description

A kind of efficiency intelligence control system and method

Technical field

The invention belongs to field of energy-saving technology, relate in particular to a kind of efficiency intelligence control system and method.

Background technology

Existing public building great majority before China's eighties of last century the nineties are not installed BAS (BAS); If BAS is installed now; Then can receive objective factors influence such as place, time and can't construct, or with can ageing equipment causing device parameter deviation to occur and be difficult to demarcate accurately reason such as controlled variable and cause robot control system(RCS) to be difficult to realization.

In addition; The operational management operator on duty level of building engineering department is uneven; Do not have metering system, the operational management personnel can't judge that central air conditioner, illumination, elevator, office electricity consumption equal energy source flow to and system energy efficiency in addition, and the energy-saving run management can't effectively be carried out.

In the face of above present situation, need to propose efficiency management system and the method that a cover satisfies Chinese equipment actuality and personnel's present situation, improve rate of energy to greatest extent.

Summary of the invention

The purpose of the embodiment of the invention is to provide a kind of efficiency intelligence control system, is intended to solve because prior art can't provide a kind of effective efficiency control system the low problem of efficiency of energy utilization in causing building.

The embodiment of the invention is achieved in that a kind of efficiency intelligence control system, and said system comprises:

Data collector is used for according to the operational parameter data of preset data collection cycle collection with the ability terminal;

The efficiency data processing server; Be used to receive the operational parameter data that said data collector is gathered with the ability terminal; According to the environmental model at predetermined efficiency computation model and said terminal, calculate efficiency value, and said efficiency value is sent to Control Server with the ability terminal;

Control Server is used for exporting optimisation strategy according to what said efficiency data processing server sended over the efficiency value at ability terminal and the terminal efficiency of DECISION KNOWLEDGE library storage, exports control signal to sending the energy with the ability terminal;

Decision knowledge base is used for to Control Server efficiency output optimisation strategy in terminal being provided; And

Energy output-controlling device, the energy that is used for sending according to said Control Server is exported control signal, and control is with the ability terminal output energy.

Another purpose of the embodiment of the invention is to provide a kind of efficiency intelligence control method based on above-mentioned efficiency intelligence control system, and said method comprises the steps:

Data collector is used the operational parameter data at ability terminal and is sent to the efficiency data processing server according to preset data collection cycle collection;

The efficiency data processing server receives the operational parameter data with the ability terminal that said data collector is gathered; Environmental model according to predetermined efficiency computation model and said terminal; Calculate efficiency value, and said efficiency value is sent to Control Server with the ability terminal;

Control Server is exported optimisation strategy according to what said efficiency data processing server sended over the efficiency value at ability terminal and the terminal efficiency of DECISION KNOWLEDGE library storage, exports control signal to sending the energy with the ability terminal;

The energy output control signal that energy output-controlling device sends according to said Control Server, control is with the ability terminal output energy.

The efficiency intelligence control system timing acquiring that the embodiment of the invention is formed through the data collector, efficiency data processing server, Control Server, decision knowledge base and the energy output-controlling device that provide is used the operational parameter data at ability terminal; Environmental model according to predetermined efficiency computation model and terminal; Calculate efficiency value with the ability terminal; Terminal efficiency output optimisation strategy according to the DECISION KNOWLEDGE library storage; To send energy output control signal with the ability terminal, control with the ability terminal output energy, thereby improved utilization efficiency of energy.

Description of drawings

Fig. 1 is the structural drawing of the efficiency intelligence control system that provides of the embodiment of the invention one;

Fig. 2 is the structural drawing of the efficiency intelligence control system that provides of the embodiment of the invention two;

Fig. 3 is the structural drawing of the efficiency intelligence control system that provides of the embodiment of the invention three;

Fig. 4 is the structure example figure of the efficiency intelligence control system that provides of the embodiment of the invention three;

Fig. 5 is the process flow diagram of the efficiency intelligence control method that provides of the embodiment of the invention four;

Fig. 6 is building cooling plant equipment and the pipe system synoptic diagram that the embodiment of the invention four provides.

Embodiment

In order to make the object of the invention, technical scheme and advantage clearer,, the present invention is further elaborated below in conjunction with accompanying drawing and embodiment.Should be appreciated that specific embodiment described herein only in order to explanation the present invention, and be not used in qualification the present invention.

Below in conjunction with specific embodiment concrete realization of the present invention is described in detail:

Embodiment one:

Fig. 1 shows the structure of the efficiency intelligence control system that the embodiment of the invention one provides; For the ease of explanation; Only show the part relevant with the embodiment of the invention; This system comprises data collector 11, efficiency data processing server 12, Control Server 13, decision knowledge base 14 and energy output-controlling device 15, wherein:

Data collector 11 is used for according to the operational parameter data of preset data collection cycle collection with the ability terminal.

In embodiments of the present invention, the operational parameter data at terminal has reflected the energy output valve with the ability terminal, particularly; For example, the energy output valve of air-conditioning equipment can represent that handpiece Water Chilling Units then can be represented through its cold that provides through the data such as refrigeration value of air-conditioning equipment output; Because the difference of environmental factors such as efficiency meeting Along with season, the time in one day, situation of building, the operational parameter data that the identical time gathers in a day possibly have bigger difference, in order effectively to improve utilization efficiency of energy; Should dynamically adjust energy output according to different time, therefore, data collection cycle need be set exactly; In embodiments of the present invention, can confirm the collection period of operational parameter data through data mining technology, particularly; With the energy value of the actual operation parameters data at terminal, consumption, efficiency value as input; Acquisition time is as output, through data mining technology, and the collection period of definite operational parameter datas such as neural network, genetic algorithm and traditional decision-tree for example; Thereby improve the accuracy of energy output acquisition time, improve the accuracy of energy output control.

Efficiency data processing server 12; Be used to receive the operational parameter data that said data collector 11 is gathered with the ability terminal; According to the environmental model at predetermined efficiency computation model and said terminal, calculate efficiency value, and said efficiency value is sent to Control Server with the ability terminal.

Implement in the row in the present invention; Efficiency data processing server 12 is used to receive the operational parameter data with the ability terminal that said data collector 11 is gathered; Environmental model according to predetermined efficiency computation model and said terminal; Calculate efficiency value, and said efficiency value is sent to Control Server with the ability terminal.

Particularly; The environmental model at terminal is meant the efficiency of terminal building of living in or floor structure, energy transfer canal, the environmental parameter (comprising outdoor temperature, humidity etc.) of preset data collection cycle, and the efficiency computation model is meant the computation model that is used to calculate with can the terminal efficiency.Behind the operational parameter data that receives said data collector 11 collections with the ability terminal; Efficiency data processing server 12 is according to the environmental model at predetermined efficiency computation model and said terminal; Calculate efficiency value with the ability terminal; Particularly, can be with the weights of the parameters in the terminal environments model as relevant parameter in the efficiency computation model, thus efficiency value preparatory at terminal is provided.Wherein the efficiency computation model can be confirmed according to the difference at terminal.

Control Server 13 is used for exporting optimisation strategy according to what said efficiency data processing server 12 sended over the efficiency value at ability terminal and the terminal efficiency of DECISION KNOWLEDGE library storage, exports control signal to sending the energy with the ability terminal.

In embodiments of the present invention; Control Server 13 is used for exporting optimisation strategy according to what said efficiency data processing server 12 sended over the efficiency value at ability terminal and the terminal efficiency of decision knowledge base 14 storages; To with can the terminal sending energy output control signal, wherein energy output control signal can be energy output time (being the start-up time at terminal), output order (boot sequence at terminal), the energy output valve in the time period etc.

Decision knowledge base 14 is used for to Control Server 13 efficiency output optimisation strategy in terminal being provided.

In embodiments of the present invention; Decision knowledge base 14 has been stored series of rules to be used for confirming energy output; Particularly, said rule can be confirmed energy output according to the specified efficiency at the efficiency value of efficiency data processing server input, terminal, terminal environments parameter etc.; Comprise energy output valve in energy output time (being the start-up time at terminal), output order (boot sequence at terminal), time period etc., at this not in order to restriction the present invention.

Energy output-controlling device 15, with the energy output control signal that is used for sending according to said Control Server 13, control is with the ability terminal output energy.

In embodiments of the present invention; The efficiency intelligence control system timing acquiring that data collector through providing, efficiency data processing server, Control Server, decision knowledge base and energy output-controlling device are formed is with operational parameter data that can the terminal; Environmental model according to predetermined efficiency computation model and terminal; Calculate the efficiency value of using the ability terminal,, can export control signal by the terminal transmission energy to using according to the terminal efficiency output optimisation strategy of DECISION KNOWLEDGE library storage; Control is exported the energy with the ability terminal, thereby has improved utilization efficiency of energy.

Embodiment two:

Fig. 2 shows the structure of the efficiency intelligence control system that the embodiment of the invention two provides, and for the ease of explanation, only shows the part relevant with the embodiment of the invention, comprising:

This system comprises data collector 11, efficiency data processing server 12, Control Server 13, decision knowledge base 14 and energy output-controlling device 15, wherein:

Data collector 11 is used for according to the operational parameter data of preset data collection cycle collection with the ability terminal.

Efficiency data processing server 12; Be used to receive the operational parameter data that said data collector 11 is gathered with the ability terminal; According to the environmental model at predetermined efficiency computation model and said terminal, calculate efficiency value, and said efficiency value is sent to Control Server with the ability terminal.

Control Server 13 to be used for exporting optimisation strategy according to what said efficiency data processing server 12 sended over the efficiency value at ability terminal and the terminal efficiency of DECISION KNOWLEDGE library storage, is exported control signal to sending the energy with the ability terminal.

Decision knowledge base 14 is used for to Control Server 13 efficiency output optimisation strategy in terminal being provided.Energy output-controlling device 15, the energy that is used for sending according to said Control Server is exported control signal, and control is with the ability terminal output energy.Output unit 16 is used for output with ability terminal efficiency value.In embodiments of the present invention, efficiency data processing server 12 is used the efficiency value at ability terminal to said output unit 16 outputs, thereby passes through the efficiency value of output unit 16 to user real time, dynamic outlet terminal.

Embodiment three:

Fig. 3 shows the structure of the efficiency intelligence control system that the embodiment of the invention three provides; For the ease of explanation; Only show the part relevant with the embodiment of the invention; This system comprises terminal 19, efficiency data transmission device 20, efficiency data processing server 12, Control Server 13, decision knowledge base 14 and client terminal 17, wherein:

Terminal 19 comprises data collector 11 and energy output-controlling device 15.

In embodiments of the present invention, data collector 11 and energy output-controlling device 15 are integrated in the terminal 19, thereby have practiced thrift system cost.Wherein, data collector 11 is used for according to the operational parameter data of preset data collection cycle collection with the ability terminal, and energy output-controlling device 15 is used for the energy output control signal according to said Control Server transmission, and control is exported the energy with the ability terminal.

In embodiments of the present invention, can confirm the collection period of operational parameter data through data mining technology, particularly; With the energy value of the actual operation parameters data at terminal, consumption, efficiency value as input; Acquisition time is as output, through data mining technology, and the collection period of definite operational parameter datas such as neural network, genetic algorithm and traditional decision-tree for example; Thereby improve the accuracy of energy output acquisition time, improve the accuracy of energy output control.

Efficiency data transmission device 20 is used for the operational parameter data of said data collector collection is sent to said ADSL or GPRS network.

In embodiments of the present invention, for the transmission range that improves data and improve anti-interference in the transmission course etc., said efficiency data transmission device 20 specifically can be the conveyer that adopts RS485 communication protocol.In the practical implementation process, also can adopt other conveyer, this not in order to the restriction the present invention.

Efficiency data processing server 12; Be used to receive the operational parameter data that said data collector 11 is gathered with the ability terminal; According to the environmental model at predetermined efficiency computation model and said terminal, calculate efficiency value, and said efficiency value is sent to Control Server with the ability terminal.

In embodiments of the present invention; Behind the operational parameter data with the ability terminal that receives said data collector 11 collections, efficiency data processing server 12 is according to the environmental model at predetermined efficiency computation model and said terminal; Calculate efficiency value with the ability terminal; Particularly, can be with the weights of the parameters in the terminal environments model as relevant parameter in the efficiency computation model, thus the accuracy of the efficiency value at terminal is provided.Wherein the efficiency computation model can be confirmed according to the difference at terminal.

Control Server 13 is used for exporting optimisation strategy according to what said efficiency data processing server 12 sended over the efficiency value at ability terminal and the terminal efficiency of DECISION KNOWLEDGE library storage, exports control signal to sending the energy with the ability terminal.

In embodiments of the present invention; Control Server 13 is used for exporting optimisation strategy according to what said efficiency data processing server 12 sended over the efficiency value at ability terminal and the terminal efficiency of decision knowledge base 14 storages; To with can the terminal sending energy output control signal, wherein energy output control signal can be energy output time (being the start-up time at terminal), output order (boot sequence at terminal), the energy output valve in the time period etc.

Decision knowledge base 14 is used for to Control Server 13 efficiency output optimisation strategy in terminal being provided.

In embodiments of the present invention; Decision knowledge base 14 has been stored series of rules to be used for confirming energy output; Particularly, said rule can be confirmed energy output according to the specified efficiency at the efficiency value of efficiency data processing server input, terminal, terminal environments parameter etc.; Comprise energy output valve in energy output time (being the start-up time at terminal), output order (boot sequence at terminal), time period etc., at this not in order to restriction the present invention.

Applications client 17 is used for sending the instruction of user's application request and receiving the efficiency application data of returning from said efficiency data processing server 12 to efficiency data processing server 12.

In embodiments of the present invention, based on the efficiency data processing server, can the application corresponding service be provided the user; For example; Be provided with etc. with efficiency inquiry, efficiency output that can the terminal, thereby improve the human bodyization of system, make things convenient for the user to carry out the efficiency setting according to self architectural feature.

Energy output-controlling device 15, the energy that is used for sending according to said Control Server is exported control signal, and control is with the ability terminal output energy.

In the practical implementation process, can output unit 16 and applications client 17 be integrated into client 18, thereby improve the integrated level of client, make things convenient for the demonstration and the management of efficiency.

As shown in Figure 4; In embodiments of the present invention; Output unit, outlet terminal or client can be computing machine, portable terminal, alarm pilot lamp, control lamp etc., and client can be passed through access to netwoks efficiency management platforms (efficiency data processing server) such as Internet network, ADSL, uses the visit of ability application service for ease; Particularly, this efficiency management platform comprises application server, interface server, data storage server and data processing server etc.Wherein:

Data processing server; Be used to receive the operational parameter data that said data collector is gathered with the ability terminal; According to the environmental model at predetermined efficiency computation model and said terminal, calculate efficiency value, and said efficiency value is sent to data storage server with the ability terminal;

Data storage server is used to store the environmental model with operational parameter data, the terminal efficiency value that said data processing server calculates, predetermined efficiency computation model and said terminal that can the terminal of said data collector collection;

Interface server is used for to application server corresponding application service interface being provided;

Application server, the user's application request instruction that is used for said applications client is sent responds, the efficiency application data of returning to said applications client.

In the practical implementation process; Data processing server 12, Control Server 13 and decision knowledge base 14 can be formed a high in the clouds server; All can be mail to high in the clouds with data; Through returning to corresponding output unit 16 and applications client 17 behind the server operation of high in the clouds again; Thereby carry out concentrated area management and operation with system that can disperse and application, all management activitys are all managed via a middle position (Cloud Server) rather than from independent website or workstation (workstation only need carry out simple data processing), and this makes enterprise staff to bring in remote access through the application client of a lightweight and uses.Therefore, particularly, applications client can be the client of cloud client or enterprise's customization, for example, and browser etc.

In embodiments of the present invention; Particularly; Data collector can be one of power consumption sensor, water consumption sensor, heat sensor, pressure transducer, flow sensor and temperature sensor or its combination in any, is provided with according to terminal in the building particularly and carries out the setting of sensor.

Embodiment four:

Fig. 5 shows the realization flow of the efficiency intelligence control method that the embodiment of the invention four provides, and details are as follows:

In step S501, data collector is used the operational parameter data at ability terminal and is sent to the efficiency data processing server according to preset data collection cycle collection.

In embodiments of the present invention, the operational parameter data at terminal has reflected the energy output valve with the ability terminal, particularly; For example, the energy output valve of air-conditioning equipment can represent that handpiece Water Chilling Units then can be represented through its cold that provides through the data such as refrigeration value of air-conditioning equipment output; Because the difference of environmental factors such as efficiency meeting Along with season, the time in one day, situation of building, the operational parameter data that the identical time gathers in a day possibly have bigger difference, in order effectively to improve utilization efficiency of energy; Should dynamically adjust energy output according to different time, therefore, data collection cycle need be set exactly; In embodiments of the present invention, can confirm the collection period of operational parameter data through data mining technology, particularly; With the energy value of the actual operation parameters data at terminal, consumption, efficiency value as input; Acquisition time is as output, through data mining technology, and the collection period of specified datas such as neural network, genetic algorithm and traditional decision-tree for example; Thereby improve the accuracy of energy output acquisition time, improve the accuracy of energy output control.

In step S502; The efficiency data processing server receives the operational parameter data with the ability terminal that said data collector is gathered; Environmental model according to predetermined efficiency computation model and said terminal; Calculate efficiency value, and said efficiency value is sent to Control Server with the ability terminal.

Implement in the row in the present invention; The efficiency data processing server is used to receive the operational parameter data with the ability terminal that said data collector is gathered; Environmental model according to predetermined efficiency computation model and said terminal; Calculate efficiency value, and said efficiency value is sent to Control Server with the ability terminal.

Particularly; The environmental model at terminal is meant the efficiency of terminal building of living in or floor structure, energy transfer canal, the environmental parameter (comprising outdoor temperature, humidity etc.) of preset operational parameter data collection period, and the efficiency computation model is meant the computation model that is used to calculate with can the terminal efficiency.Behind the operational parameter data that receives said data collector collection with the ability terminal; The efficiency data processing server is according to the environmental model at predetermined efficiency computation model and said terminal; Calculate efficiency value with the ability terminal; Particularly, can be with the weights of the parameters in the terminal environments model as relevant parameter in the efficiency computation model, thus improve the accuracy of the efficiency value at terminal.

In the practical implementation process; (confirm by each item output parameter by the terminal by the output energy with the ability terminal for the efficiency computation model; For example, refrigerating capacity, heating capacity etc.) confirm with the electric power ratio of input; For example, the efficiency of handpiece Water Chilling Units is that the refrigerating capacity of unit is the caloric receptivity of chilled water and the ratio of end equipment institute power consumption with the ratio of its input electric power, heat exhaust and the ratio (water loss that wafts of ignoring cooling tower) of blower fan of cooling tower institute power consumption, the efficiency of air-treatment end equipment that the cooling tower efficiency is defined as chilled water.After confirming total computation model,, obtain efficiency model with the ability terminal according to efficiency calculating parameter with the ability terminal.

The efficiency computation model of each equipment in building cooling plant equipment as shown in Figure 6 and the pipe system has below been described as an example.

Particularly; The chilled water in this building, cooling water pipeline all adopt the series connection form of forming pump after 4 parallels connection of pumps (3 usefulness one be equipped with), the 3 machine parallel connections; Because it is similar that cooling water pipeline and chilled water pipeline are arranged; When modeling, be example with the chilled water, the model of chilled water part can be directly with the model (corresponding data when confirming coefficient in the employing cooling water pipeline) of chilled water.The principle of this modeling mainly contains with foundation: the matching relationship of the characteristic of the matching relationship of pipe resistance and flow, pipe impedance coefficient S and pump characteristics and pepeline characteristic in the parallel pipeline system.

1, chilled water pump model

The main sensor that is provided with has flow sensor, temperature sensor, pressure differential pressure sensor etc. in the system.The pipe impedance coefficient of AC, HM and BN section is S among the figure ₀(be S ₀=S _AC+ S _HM+ S _BN); The pipe impedance coefficient of CDF, EF, E ' F ', E ' GH section is respectively SP4, SP3, SP2, SP1; Pipeline for the chilled water pump part; Generalized case lower pipeline reducing characteristics have determined CE to arrange identical with the pipeline section of F ' H; The pipeline section of EE ' and FF ' is arranged identical, therefore can establish CE and F ' H, EE ' are respectively SP01, SP02 with the pipe impedance coefficient of FF ' pipeline section.Equally, the pipe impedance coefficient of establishing KIJL, KL, MN section is respectively SZ1, SZ2, SZ3, and the pipe impedance coefficient sum of establishing KM and LN section is SZ01.

(1) total flow model

With water trap---pipeline portions is an analytic target in the cooling plant between the water recovery apparatus, has according to pump annexation and energy equation:

$\frac{{\mathrm{<figure-callout\; id="1"\; label="p"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">p</figure-callout>}}_1}{\mathrm{\&gamma;}}+\mathrm{\&Sigma;}{H}_i=\frac{{\mathrm{<figure-callout\; id="2"\; label="p"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">p</figure-callout>}}_2}{\mathrm{\&gamma;}}+{\mathrm{SQ}}^2---\left(1\right)$

Wherein, p1, p2 are the pressure in water recovery apparatus, the water trap, and unit is Pa; Hi is each the parallelly connected lift of pump that puts into operation, and unit is mH2O, and S is the impedance factor that chilled water pipeline system in the station that chilled water flows through is arranged; Unit is s2/m5, and Q is the chilled water total flow, and unit is m3/s.Because p1, p2 are by the differential pressure pickup Δ p that is arranged between water trap and the water recovery apparatus ₀Detect, so can formula (1) be become:

$\mathrm{\&Sigma;}{H}_i=\frac{\mathrm{\&Delta;}{\mathrm{<figure-callout\; id="0"\; label="p"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">p</figure-callout>}}_0}{\mathrm{\&gamma;}}+{\mathrm{SQ}}^2---\left(2\right)$

The lift Hi that considers each water pump simultaneously can be by the differential pressure pickup Δ p that is arranged at place, pump import/export _iRecord, then can obtain the relation between flow and the pressure reduction:

$Q=\sqrt{\frac{{\mathrm{\&Sigma;\&Delta;p}}_i-{\mathrm{\&Delta;p}}_0}{\mathrm{\&gamma;S}}}---\left(3\right)$

According to fluid mechanics knowledge, the characteristic of pipe impedance coefficient S is: only with pipeline physical dimension (caliber and pipe range), pipeline in on-way resistance coefficient and coefficient of shock resistance relevant, have nothing to do with other factors.Therefore, in case pipe system install, as long as no longer the valve opening in the pipeline etc. is carried out regulated at will (electric control valve does not carry out ratio to be regulated, and only adopts ON/OFF to regulate) in using; Simultaneously in actual implementation process; Because the fluidised form of chilled water all is in full-blown turbulent region (then should be with due regard to and change of flow state when monitoring lower frequency for the variable frequency pump system) basically in the pipe; In this district; The on-way resistance coefficient is only relevant with the pipeline relative roughness, irrelevant with flow velocity that is flow, and the pipeline relative roughness generally can not change (formation such as dirt needs certain hour, and dirt can have influence on the tube wall roughness) in a short time.Hence one can see that, and when line arrangement and after regulating, as long as the aperture of nonvoluntary each valve of adjusting, then the impedance factor S of pipeline can be used as constant.Therefore, formula (3) can be expressed as:

$Q_x=a_x\sqrt{{\mathrm{\&Sigma;\&Delta;p}}_i-\mathrm{\&Delta;}{p}_{0x}}---\left(4\right)$

Wherein, The combination number of x parallel pumps;

is for participating in the impedance constant of parallel pumps pipeline, and be relevant with a way of parallel pumps.Like a process pump 1, then a _x=a ₁As the time process pump 1 and 2, then a _x=a ₁₂As the time process pump 1 and 3, then a _x=a ₁₃, by that analogy.

Formula (4) is the discharge model of refrigerating water pump.Like this, if confirmed a in advance _x, as long as, just can obtain the flow of chilled water according to formula (4) through detecting each process pump inlet outlet pressure differential and supplying the backwater total pressure head.

A, impedance constant a _xConfirm

Because formula (4) needs to confirm in advance impedance constant a _x, introduce below and how to confirm a through actual measurement _x

1) for the various operation combinations of drafting (referring to table 1), utilize differential pressure pickup to record each corresponding pressure difference Δ p _i, Δ p _0xWith Δ p _Px(here for making calculating easy, for refrigerating water pump parallel connection part, the differential pressure pickup Δ p of setting capable of using _PxReplace the Δ p in (4) _0x), utilize flow sensor or portable supersonic flowmeter to measure corresponding chilled water total flow simultaneously, every at a distance from 1～10 minute collection one secondary data, every kind of operating mode measures continuously 10～20 times and keeps a record.

2) pressure reduction and the flow each operating mode surveyed are handled, and simply, can ask mean value separately respectively to each pressure reduction, the traffic classification that record earlier, again mean value substitution formula (4) are separately tried to achieve corresponding a _x

3) utilize the differential pressure pickup Δ p that is arranged on handpiece Water Chilling Units parallel connection point place _CxFlow Qx with recording confirms coefficient

(referring to table 1).

So just but through type (4) computation model obtains real-time traffic, even also can be suitable for the system that variable frequency pump is arranged, because this model only depends on pipe system, all working point of pump all drops on the corresponding pipeline curve.Therefore, as long as detect Δ p in real time _iWith Δ p ₀, Δ p _Px, pass through Δ p simultaneously _iWhether be that zero differentiation discerns be that which platform pump is putting into operation, can be at predetermined a _xIn select corresponding impedance factor for use, utilizing formula (4) to obtain corresponding total flow (as shown in table 2).

Table 1 refrigerating water pump---handpiece Water Chilling Units combination and coefficient a _x, λ _xConfirm (Z-handpiece Water Chilling Units, P-refrigerating water pump)

B. each pipeline section impedance factor S's confirms

Coefficient a by table 1 _x, λ _x, connect characteristics according to the pipeline of handpiece Water Chilling Units part, chilled water pump part, can list corresponding coefficient expression formula.Consider total chilled water pipeline earlier.Owing to can directly detect pressure difference Δ p _i, Δ p _0x, Δ p _PxWith Δ p _Cx, if the flow Qx when detecting the operation of any chilled water pump and handpiece Water Chilling Units, then can obtain the impedance factor sum S0 of pipeline section AC, HM, BN:

${\mathrm{<figure-callout\; id="0"\; label="S"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">S</figure-callout>}}_0=\frac{{\mathrm{\&Sigma;\&Delta;p}}_i-{\mathrm{\&Delta;p}}_{0x}-{\mathrm{\&Delta;p}}_{\mathrm{Px}}-{\mathrm{\&Delta;p}}_{\mathrm{cx}}}{{\mathrm{\&gamma;<figure-callout\; id="2"\; label="Q\; x"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">Q</figure-callout>}}_x^{}}$

For example, when setting operation refrigerating water pump 1, can obtain S0 and be with handpiece Water Chilling Units 1:

${\mathrm{<figure-callout\; id="0"\; label="S"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">S</figure-callout>}}_0=\frac{{\mathrm{\&Delta;p}}_1-{\mathrm{\&Delta;p}}_{01}-{\mathrm{\&Delta;p}}_{P1}-{\mathrm{\&Delta;p}}_{c1}}{{\mathrm{\&gamma;<figure-callout\; id="1"\; label="Q"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">Q</figure-callout>}}_1^2}---\left(5\right)$

Each pipeline section impedance factor SZ1, SZ2, SZ3, the SZ01 of handpiece Water Chilling Units part can join and separate following equation and obtain:

S _Z01+S _Z1＝λ ₁ (6)

S _Z01+S _Z2＝λ ₂ (7)

S _Z3＝λ ₃ (8)

S _Z01+S _Z12＝λ ₁₂ (9)

S _Z13＝λ ₁₃ (10)

S _Z23＝λ ₂₃ (11)

S _Z123＝λ ₁₂₃ (12)

According to same theory, for chilled water pump parallel connection part, can separate the impedance factor that following serial system of equations obtains each pipeline section through couplet:

$S_{P01}+S_{P02}+{\mathrm{<figure-callout\; id="1"\; label="S\; P"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">S</figure-callout>}}_P=\frac{1}{{\mathrm{\&gamma;a}}_1^2}---\left(13\right)$

${2S}_{P01}+S_{P02}+{\mathrm{<figure-callout\; id="2"\; label="S\; P"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">S</figure-callout>}}_P=\frac{1}{{\mathrm{\&gamma;a}}_2^2}---\left(14\right)$

${2S}_{P01}+S_{P02}+{\mathrm{<figure-callout\; id="3"\; label="S\; P"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">S</figure-callout>}}_P=\frac{1}{{\mathrm{\&gamma;a}}_3^2}---\left(15\right)$

$S_{P01}+S_{P02}+S_{P4}=\frac{1}{{\mathrm{\&gamma;a}}_4^2}---\left(16\right)$

$S_{P01}+S_{P02}+{\mathrm{<figure-callout\; id="12"\; label="S\; P"\; filenames="HSA00000656462700011.png,HSA00000656462700012.png"\; state="\{\{state\}\}">S</figure-callout>}}_P=\frac{1}{{\mathrm{\&gamma;a}}_{12}^2}---\left(17\right)$

$S_{P01}+{\mathrm{<figure-callout\; id="13"\; label="S\; P"\; filenames="HSA00000656462700011.png,HSA00000656462700012.png"\; state="\{\{state\}\}">S</figure-callout>}}_P=\frac{1}{{\mathrm{\&gamma;a}}_{13}^2}---\left(18\right)$

${\mathrm{<figure-callout\; id="14"\; label="S\; p"\; filenames="HSA00000656462700011.png,HSA00000656462700012.png"\; state="\{\{state\}\}">S</figure-callout>}}_p=\frac{1}{{\mathrm{\&gamma;a}}_{14}^2}---\left(19\right)$

${2S}_{P01}+S_{P23}=\frac{1}{{\mathrm{\&gamma;a}}_{23}^2}---\left(20\right)$

$S_{P01}+S_{P24}=\frac{1}{{\mathrm{\&gamma;a}}_{24}^2}---\left(21\right)$

$S_{P01}+S_{P02}+S_{P34}=\frac{1}{{\mathrm{\&gamma;a}}_{34}^2}---\left(22\right)$

$S_{P01}+S_{P123}=\frac{1}{{\mathrm{\&gamma;a}}_{123}^2}---\left(23\right)$

$S_{P124}=\frac{1}{{\mathrm{\&gamma;a}}_{124}^2}---\left(24\right)$

$S_{P01}+S_{P234}=\frac{1}{{\mathrm{\&gamma;a}}_{234}^2}---\left(25\right)$

$S_{P1234}=\frac{1}{{\mathrm{\&gamma;a}}_{1234}^2}---\left(26\right)$

$\frac{1}{\sqrt{{\mathrm{<figure-callout\; id="12"\; label="S\; P"\; filenames="HSA00000656462700011.png,HSA00000656462700012.png"\; state="\{\{state\}\}">S</figure-callout>}}_P}}=\frac{1}{\sqrt{{\mathrm{<figure-callout\; id="1"\; label="S\; P"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">S</figure-callout>}}_P}}+\frac{1}{\sqrt{{\mathrm{<figure-callout\; id="2"\; label="S\; P"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">S</figure-callout>}}_P+S_{P01}}}---\left(27\right)$

$\frac{1}{\sqrt{{\mathrm{<figure-callout\; id="13"\; label="S\; P"\; filenames="HSA00000656462700011.png,HSA00000656462700012.png"\; state="\{\{state\}\}">S</figure-callout>}}_P}}=\frac{1}{\sqrt{{\mathrm{<figure-callout\; id="1"\; label="S\; P"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">S</figure-callout>}}_P+S_{P02}}}+\frac{1}{\sqrt{{\mathrm{<figure-callout\; id="3"\; label="S\; P"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">S</figure-callout>}}_P+S_{P01}+S_{P02}}}---\left(28\right)$

$\frac{1}{\sqrt{S_{P34}}}=\frac{1}{\sqrt{{\mathrm{<figure-callout\; id="3"\; label="S\; P"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">S</figure-callout>}}_P+S_{P01}}}+\frac{1}{\sqrt{S_{P4}}}---\left(29\right)$

Find the solution above (6)～(29) formula, the result is as shown in table 2.

The impedance factor of the corresponding pipeline section of table 2 Fig. 6

C. the total flow model confirms

The Δ p that records according to any time _Px, ∑ Δ p _iAnd determined a in the table 1 _xCan obtain the computation model of real-time total flow, as shown in table 3.

The chilled water total flow Qx computation model of each sundstrand pump among table 3 Fig. 6

(2) each shunt volume model confirms

Confirmed after the chilled water total flow, also need confirm to flow through and respectively move the chilled water branch flow of chilled water pump, each handpiece Water Chilling Units evaporator.Each shunt volume can be confirmed by the impedance factor of each pipeline section according to the assignment of traffic rule of parallel branch.The shunt volume result of each chilled water pump sees table 4; The shunt volume result of each handpiece Water Chilling Units evaporator chilled water sees that table 5 is (when each evaporator chilled water shunt volume of definite handpiece Water Chilling Units; The total flow of chilled water depends on the total flow that the operation combination of chilled water pump is provided; Therefore before calculating evaporator chilled water shunt volume, should at first confirm the total flow Qx value of chilled water).

The assignment of traffic rule of parallel pipeline is example as follows:

1),, be characterized as according to the resistance of parallel pipeline like 2#, 3# parallel connection of pumps among Fig. 6 for 2 parallels connection of pumps operation:

$(S_{P02}+S_{P2}){\mathrm{<figure-callout\; id="2"\; label="Q"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">Q</figure-callout>}}_2^2=(S_{P02}+S_{P3}){\mathrm{<figure-callout\; id="3"\; label="Q"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">Q</figure-callout>}}_3^2=S_{P23}{Q}_{23}^2$

Q _P2+Q _P3＝Q ₂₃

Can solve 2#, 3# pump flow QP2, QP3 separately by above 2 formulas.

2) for 3 parallels connection of pumps operation, like 1#, 2#, 3# parallel connection of pumps among Fig. 6, the resistance characteristics according to the multiple-series pipe network have equally

$({\mathrm{<figure-callout\; id="3"\; label="S\; P"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">S</figure-callout>}}_P+S_{P02}){\mathrm{<figure-callout\; id="3"\; label="Q\; P"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">Q</figure-callout>}}_P^3+S_{P01}{({\mathrm{<figure-callout\; id="2"\; label="Q\; P"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">Q</figure-callout>}}_P+Q_{P3})}^2=S_{P02}{({\mathrm{<figure-callout\; id="2"\; label="Q\; P"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">Q</figure-callout>}}_P+Q_{P1})}^2+S_{P1}{\mathrm{<figure-callout\; id="1"\; label="Q\; P"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">Q</figure-callout>}}_P^1=S_{P123}{Q}_{123}^2$

$S_{P02}{({\mathrm{<figure-callout\; id="2"\; label="Q\; P"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">Q</figure-callout>}}_P+Q_{P1})}^2+S_{P2}{\mathrm{<figure-callout\; id="2"\; label="Q\; P"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">Q</figure-callout>}}_P^2=({\mathrm{<figure-callout\; id="3"\; label="S\; P"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">S</figure-callout>}}_P+S_{P02}){\mathrm{<figure-callout\; id="3"\; label="Q\; P"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">Q</figure-callout>}}_P^3$

Q _P2+Q _P1+Q _P3＝Q ₁₂₃

Join to separate and abovely variously can obtain 1#, 2#, 3# pump flow QP1, QP2, QP3 separately.All the other can be imitated this and analogize.

The chilled water shunt volume model of each chilled water pump of table 4 (the Qx value adopts the value in the table 3)

The chilled water shunt volume model of each handpiece Water Chilling Units of table 5 (the Qx value depends on the combination of parallel pumps, adopts the value in the table 3)

(3) the efficiency model of chilled water pump

Obtain after the flow of each chilled water pump under corresponding operating mode,, can confirm the useful power of corresponding refrigerating water pump according to the actual pump head that records (inlet outlet pressure differential):

N _ei＝γQ _iH _i＝Q _iΔp _i (i＝1，2，3) (30)

As long as survey the input electric power Ni of each pump again, in can obtain the comprehensive efficiency η i of corresponding i refrigerating water pump:

${\mathrm{\&eta;}}_i=\frac{Q_i\mathrm{\&Delta;}{p}_i}{N_{i,\mathrm{in}}}---\left(31\right)$

2, chilled water model

For setting up the cooling-water pump model, supply installing chilled water total pressure head sensor Δ p on the return main at chilled water ₀, at each cooling pump import and export installing differential pressure pickup Δ p _i(i=1,2,3).Because layout and the refrigerating water pump similar (just not having water recovery apparatus and water trap) of cooling water pipeline, so the chilled water model can apply mechanically the chilled water model fully, is at definite coefficient a _x, λ _xWhen reaching Sx, need with chilled water corresponding flow and pressure difference.Other computing formula is fully identical with the chilled water model.

Obtain after the flow of each cooling-water pump under corresponding operating mode,, can confirm the useful power of corresponding cooling pump according to the actual pump head that records (inlet outlet pressure differential):

N _ei＝γQ _ciH _i＝Q _ciΔp _i (i＝a，b，c) (30b)

As long as survey the input electric power Nin of each pump again, can obtain the comprehensive efficiency η of corresponding cooling pump:

${\mathrm{\&eta;}}_i=\frac{Q_{\mathrm{ci}}\mathrm{\&Delta;}{p}_i}{N_{\mathrm{ci},\mathrm{in}}}---\left(31b\right)$

3, the efficiency model of handpiece Water Chilling Units

The efficiency of handpiece Water Chilling Units (coefficient of performance COP) is defined as the refrigerating capacity Q of unit ₀With its input electric power N _ZinRatio:

$\mathrm{COP}=\frac{Q_0}{N_{\mathrm{Zin}}}---\left(32\right)$

The refrigerating capacity Q of each handpiece Water Chilling Units _0iCan be by its corresponding chilled-water flow Qi, the temperature difference (TE _In-TE _Out) try to achieve:

Q _0i＝ρQ _iC _p(TE _in-TE _out) (33)

The chilled-water flow Qi of each handpiece Water Chilling Units confirms (seeing table 5) by corresponding handpiece Water Chilling Units evaporator branch line shunt volume under the corresponding operating mode in the formula; ρ is a chilled water density; C _pSpecific heat at constant pressure for water; TE _In-TE _OutThe temperature difference (detecting) for chilled water turnover handpiece Water Chilling Units evaporator by temperature sensor.So participate in the efficiency model of every handpiece Water Chilling Units of operation be:

${\mathrm{COP}}_{\mathrm{Zi}}=\frac{Q_{0i}}{N_{\mathrm{Zin},i}}=\frac{\mathrm{\&rho;}{Q}_i{C}_p({\mathrm{TE}}_{\mathrm{in},i}-{\mathrm{TE}}_{\mathrm{out},i})}{N_{\mathrm{Zin},i}}---\left(34\right)$

4, cooling tower efficiency model

Definition cooling tower efficiency is the heat exhaust of chilled water and the ratio of blower fan of cooling tower institute power consumption (water loss that wafts of ignoring cooling tower).The heat exhaust Q of chilled water _C0Can be by chilled water total flow Qc and the total supply backwater temperature difference (TE of chilled water _Cin-TE _Cout) obtain:

Q _c0＝∑Q _c0i＝∑ρQ _ciC _p(TE _cin-TE _cout) (35)

Then the total energy effect model of all cooling towers that put into operation is:

${\mathrm{EER}}_{\mathrm{CT}}=\frac{{\mathrm{<figure-callout\; id="0"\; label="Q\; c"\; filenames="HSA00000656462700051.png"\; state="\{\{state\}\}">Q</figure-callout>}}_c}{\mathrm{\&Sigma;}{N}_{\mathrm{CTin},i}}=\frac{\mathrm{\&Sigma;\&rho;}{Q}_{\mathrm{ci}}{C}_p({\mathrm{TE}}_{\mathrm{cin}}-{\mathrm{TE}}_{\mathrm{cout}})}{\mathrm{\&Sigma;}{N}_{\mathrm{CTin},i}}---\left(36\right)$

Note; In the time can not obtaining the actual cooling water flow of every cooling tower; Can only imitate the total energy of operating cooling tower group and analyze; If can detect the branch's cooling water flow and the temperature difference of each cooling tower, formula then capable of using (36) is removed the summation symbol each cooling tower is carried out the efficiency analysis separately.

5, air-treatment end equipment efficiency model

The efficiency of definition air-treatment end equipment is the caloric receptivity of chilled water and the ratio of end equipment institute power consumption.Under the situation that can not obtain each end equipment electric power; All actual end equipments that put into operation are done as a wholely to consider; Flow through the terminal chilled-water flows of all operations and be flow poor of the determined total flow of chilled water pump model and chilled water confession backwater by-pass pipe (balance pipe), can obtain the efficiency model of air-treatment end equipment thus.

Under the situation that can't detect the freezing water yield of bypass; Can suppose that the load of all ends in service equals respectively to move the actual refrigerating capacity sum (ignoring the energy loss in the chilled water transfer pipeline) of handpiece Water Chilling Units, then the efficiency of all end equipments that put into operation can be expressed as:

${\mathrm{EER}}_{\mathrm{AHU}}=\frac{\mathrm{\&Sigma;}{Q}_{0i}}{\mathrm{\&Sigma;}{N}_{\mathrm{AHUin},i}}=\frac{\mathrm{\&Sigma;\&rho;}{Q}_i{C}_p({\mathrm{TE}}_{\mathrm{in},i}-{\mathrm{TE}}_{\mathrm{out},i})}{\mathrm{\&Sigma;}{N}_{\mathrm{AHUin},i}}---\left(37\right)$

6, the central air conditioner system total energy is imitated

The definition central air conditioner system can imitate ratio for the spent electric power of each cold that provides of operation handpiece Water Chilling Units and central air conditioner system.Spent electric power mainly comprises the electric power of handpiece Water Chilling Units, chilled water pump, cooling-water pump, blower fan of cooling tower, air conditioner end equipment motor etc.Therefore, the total energy of central air conditioner system is imitated and can be expressed as:

${\mathrm{EER}}_T=\frac{\mathrm{\&Sigma;}{Q}_{0i}}{\mathrm{\&Sigma;}{N}_{\mathrm{Zin},i}+\mathrm{\&Sigma;}{N}_{i,\mathrm{in}}+\mathrm{\&Sigma;}{N}_{\mathrm{ci},\mathrm{in}}+\mathrm{\&Sigma;}{N}_{\mathrm{AHUin},i}+\mathrm{\&Sigma;}{N}_{\mathrm{CTi},\mathrm{in}}}---\left(38\right)$

Through above example, can advise with efficiency computation model that can equipment, thereby, optimize the calculating of efficiency for the calculating of efficiency provides foundation, in implementation process particularly, can also add corresponding environmental system, at this not in order to limit the present invention.

In step S503, Control Server is exported optimisation strategy according to what said efficiency data processing server sended over the efficiency value at ability terminal and the terminal efficiency of DECISION KNOWLEDGE library storage, exports control signal to sending the energy with the ability terminal.

In embodiments of the present invention; Control Server is used for exporting optimisation strategy according to what said efficiency data processing server sended over the efficiency value at ability terminal and the terminal efficiency of DECISION KNOWLEDGE library storage; To with can the terminal sending energy output control signal, wherein energy output control signal can be energy output time (being the start-up time at terminal), output order (boot sequence at terminal), the energy output valve in the time period etc.

In embodiments of the present invention; The DECISION KNOWLEDGE library storage series of rules to be used for confirming energy output; Particularly, said rule can be confirmed energy output according to the specified efficiency at the efficiency value of efficiency data processing server input, terminal, terminal environments parameter etc.; Comprise energy output valve in energy output time (being the start-up time at terminal), output order (boot sequence at terminal), time period etc., at this not in order to restriction the present invention.

In step S504, the energy output control signal that energy output-controlling device sends according to said Control Server, control is with the ability terminal output energy.

The efficiency intelligence control system timing acquiring that the embodiment of the invention is formed through the data collector, efficiency data processing server, Control Server, decision knowledge base and the energy output-controlling device that provide is used the operational parameter data at ability terminal; Environmental model according to predetermined efficiency computation model and terminal; Calculate efficiency value with the ability terminal; According to the terminal efficiency output optimisation strategy of DECISION KNOWLEDGE library storage, to send energy output control signal with the ability terminal, control is with the ability terminal output energy; Realized the automatic collection of energy output; And, finally realize the optimization output of terminal energy sources, thereby improved utilization efficiency of energy through definite efficiency computation models such as data mining technologies.

The above is merely preferred embodiment of the present invention, not in order to restriction the present invention, all any modifications of within spirit of the present invention and principle, being done, is equal to and replaces and improvement etc., all should be included within protection scope of the present invention.

Claims (10)

1. an efficiency intelligence control system is characterized in that, said system comprises:

Data collector is used for according to the operational parameter data of preset data collection cycle collection with the ability terminal;

The efficiency data processing server; Be used to receive the operational parameter data that said data collector is gathered with the ability terminal; According to the environmental model at predetermined efficiency computation model and said terminal, calculate efficiency value, and said efficiency value is sent to Control Server with the ability terminal;

Control Server is used for exporting optimisation strategy according to what said efficiency data processing server sended over the efficiency value at ability terminal and the terminal efficiency of DECISION KNOWLEDGE library storage, exports control signal to sending the energy with the ability terminal;

Decision knowledge base is used for to Control Server efficiency output optimisation strategy in terminal being provided; And

Energy output-controlling device, the energy that is used for sending according to said Control Server is exported control signal, and control is with the ability terminal output energy.

2. efficiency intelligence control system as claimed in claim 1 is characterized in that, said system also comprises:

Output unit is used for showing that output is with ability terminal efficiency value;

Said efficiency data processing server also is used for to the efficiency value of said output unit output with the ability terminal.

3. efficiency intelligence control system as claimed in claim 1 is characterized in that, said system also comprises:

Applications client is used for the efficiency application data of sending the instruction of user's application request and returning from said efficiency data processing server reception to the efficiency data processing server;

Said efficiency data processing server also is used to receive user's efficiency data that said applications client sends and obtains instruction and send the efficiency data to said applications client.

4. efficiency intelligence control system as claimed in claim 3 is characterized in that, said efficiency data processing server comprises:

Data processing server; Be used to receive the operational parameter data that said data collector is gathered with the ability terminal; According to the environmental model at predetermined efficiency computation model and said terminal, calculate efficiency value, and said efficiency value is sent to data storage server with the ability terminal;

Data storage server is used to store the environmental model with operational parameter data, the terminal efficiency value that said data processing server calculates, predetermined efficiency computation model and said terminal that can the terminal of said data collector collection;

Interface server is used for to application server corresponding application service interface being provided;

Application server, the user's application request instruction that is used for said applications client is sent responds, the efficiency application data of returning to said applications client.

5. efficiency intelligence control system as claimed in claim 4 is characterized in that said applications client comprises portable terminal.

6. efficiency intelligence control system as claimed in claim 1 is characterized in that, said data collector is one of power consumption sensor, water consumption sensor, heat sensor, pressure transducer, flow sensor and temperature sensor or its combination in any.

7. efficiency intelligence control system as claimed in claim 1 is characterized in that,

Said data collector is through ADSL (Asymmetric Digital Subscriber Line; ADSL) or GPRS (General Packet Radio Service, GPRS) network the operational parameter data of gathering is sent to said efficiency data processing server.

8. efficiency intelligence control system as claimed in claim 7 is characterized in that, said system also comprises:

The efficiency data transmission device is used for the operational parameter data of said data collector collection is sent to said ADSL or GPRS network.

9. efficiency intelligence control system as claimed in claim 8 is characterized in that, said efficiency data transmission device is specially the conveyer that adopts RS485 communication protocol.

10. the efficiency intelligence control method based on each said system of claim 1 to 9 is characterized in that said method comprises the steps:

Data collector is used the operational parameter data at ability terminal and is sent to the efficiency data processing server according to preset data collection cycle collection;

The efficiency data processing server receives the operational parameter data with the ability terminal that said data collector is gathered; Environmental model according to predetermined efficiency computation model and said terminal; Calculate efficiency value, and said efficiency value is sent to Control Server with the ability terminal;

Control Server is exported optimisation strategy according to what said efficiency data processing server sended over the efficiency value at ability terminal and the terminal efficiency of DECISION KNOWLEDGE library storage, exports control signal to sending the energy with the ability terminal;

The energy output control signal that energy output-controlling device sends according to said Control Server, control is with the ability terminal output energy.

Images