CN105972693A - Method and system for realizing transparent heat supply - Google Patents

Abstract

The invention relates to a method for realizing transparent heat supply and a system for implementing the method. The method specifically includes the steps of arranging various sensors and instruments such as temperature sensors, pressure sensors, flow sensors, heat meters, electricity meters and natural gas meters on various links (heat sources, pipe networks and terminals) of a heat supply system; measuring the water temperature T, the pressure P, the flow G, the heat quantity Q, the power consumption W and the natural gas consumption N at each part of the system in real time; through the system identification method, identifying interior and exterior key parameters including but not limited to the pipe network resistance characteristic S of any section, the building envelope KF and the equipment control characteristic KV of the system, and enabling the interior and exterior key parameters of the system to be knowable and transparent for system users in time and in space; on the basis of the known real-time parameters and the identified system characteristics, managing operation of the heat supply system according to the set target. The invention further relates to the system adopting the method for supplying heat. The system comprises a data acquisition module, a communication module, a central server, a system characteristic identification module and an operation management module.

Description

A kind of method and system realizing transparent heat supply

Technical field

The invention belongs to field of heating ventilation air conditioning, be specifically related to a kind of method realizing transparent heat supply and realization The system of the method.

Background technology

Along with the fast development in city, central heating system, as the basic guarantee facility in city, scale Increasing, system becomes increasingly complex, and the impact causing society of breaking down is increasing, therefore may be used Require more and more higher by property.But system jam is inevitable, simply when break down, send out Which kind of fault raw is accidental, for the occasionality under this inevitable situation, relies on Traditional Man investigation Mode is difficult to find in time, and hysteresis quality is the biggest, it is difficult to meet the reliability requirement of current infrastructure, only There is development can realize the system of automatic fault diagnosis, it is possible to make and quickly respond timely, just have May meet the growth requirement of smart city, problem is currently for heating system fault diagnosis research Universal thinking is: by installing a small amount of sensor, it is intended to by potential physics law (as energy is kept Perseverance, the conservation of mass, the conservation of momentum etc.), various it is assumed that carry out the situation that hypothetical system currently occurs, and Situation by inference goes to carry out breakdown judge and the operational management of system,.Obviously at a small amount of sensor Under data, place hope on a senior strategy or algorithm to realize fault timely, accurate, reliable certainly Diagnosis and efficient operation are extremely difficult, are also unpractical.In current system model, i.e. Make the heating system being provided with robot control system(RCS) still based on " prison ", be difficult to accomplish " pipe " " control ", it is more difficult to Accomplish to control, spatially overall on user's room temperature " cold and hot irregular " and part-time " excess heat supply " still The most serious, energy consumption is the most higher, even occurs that a lot of operations staff abandons and has installed robot control system(RCS) Case.For this present invention from system architecture, a kind of method realizing transparent heat supply and realization are proposed The system of the method, tackles the problem at its root.

Summary of the invention

The present invention proposes a kind of method realizing transparent heat supply, and it solves the technology that described technical problem uses Scheme comprises the steps:

(1) in heating system, some sensors are disposed；

(2) utilize the sensor disposed, measure systematic parameter；

(3) utilize system performance discrimination method, pick out heating system characteristic so that system performance is in the time It is spatially known for system user, transparent；

(4) based on known real-time parameter and the system performance that picks out, according to the objective management fortune set Row heating system.

Be further characterized in that: described sensor include temperature sensor, pressure transducer, differential pressure pickup, One or more in flow transducer, calorimeter, ammeter, water meter, gas meter；

It is further characterized in that: the systematic parameter of described measurement includes user indoor temperature, outdoor temperature, supplies Return water temperature, pressure, pressure reduction, flow, heat, power consumption, water consumption, in consumption amount of natural gas Plant or multiple；

It is further characterized in that: described heating system characteristic includes system pipe network and equipment resistance characteristic, building Building enclosure heat preservation property, the modulating properties of valve, the thermodynamic property of plate type heat exchanger, boiler efficiency, One or more in pump efficiency；

It is further characterized in that: described system performance discrimination method is by data pre-processing unit, characteristic identification Unit, result check unit and four steps of characteristic output unit are constituted.Described data pre-processing unit is born Duty carries out pretreatment to initial data, rejects invalid or bad data, and reliable data are passed to characteristic Identification unit；Described characteristic identification unit is responsible for the identification of system performance according to built-in algorithm；Described knot Fruit is checked the responsible system performance picking out characteristic identification unit of unit and checks；Described characteristic exports Unit is responsible for the output of final response.Detailed process is: described data pre-processing unit is by sensor Non-sensor data needed for measured data and identification algorithm carry out pretreatment, reject invalid or bad data, And reliable data are passed to characteristic identification unit；Characteristic identification unit is built-in for system performance identification Algorithm, the data come according to data pre-processing unit transmission, the characteristic of identification heating system, and distinguishing Know result and pass to result check unit；Result is checked unit and is compared the resultant error several times of identification, really Fixed whether within allowed band, the most then system performance is single by characteristic output as identification result Unit's output, otherwise makes the more newly inputted data of data pre-processing unit and/or makes characteristic identification unit update identification Algorithm, carries out identification again to system performance, repeat the above steps, until the system performance of final identification Meet requirement；

It is further characterized in that: described heating system includes thermal source, pipe network, heat radiation end links；

It is further characterized in that: when determining system identifying method, it then follows as long as discrimination method needs just to install The principle of respective sensor, first determines the characteristic needing identification, then the method determining this characteristic of identification, Determine, finally according to the method, the physical parameter needing to measure and corresponding sensor is installed, thus total energy is protected Card need characteristic can identification out.

It is further characterized in that: described resistance of pipe system characteristic S identification can be by pipeline section pressure reduction and pipeline section Flow calculates according to formula (1), and wherein said pipeline section pressure reduction and pipeline flow can measure acquisition, it is possible to To be calculated by measurement portions:

$S=\frac{\sqrt{P_{in}-P_{out}}}{G^2}---\left(1\right)$

Wherein: P_inPipeline section inlet pressure；P_outPipeline section outlet pressure；The stream flow through in G pipeline section Amount；The drag characteristic of S pipeline section.

Described architectural exterior-protecting construction characteristic KF identification can be by the heat in measurement building and calculating or survey The room of amount, internal and external temperature are calculated according to formula (2):

$KF=\frac{Q}{t_n-t_w}---\left(2\right)$

Wherein: the heat consumption of Q building hot entrance calorimeter；t_nMeasure when not windowing in cloudy day building The equivalent indoor temperature of average indoor temperature or calculating；t_wOutdoor mean temperature.

Described valve modulating properties KV (k) can pass through the valve two ends pressure reduction of measurement and pass through valve The flow of door is calculated according to formula (3)；

$KV\left(k\right)=\frac{G_{valve}}{\sqrt{P_{valve,in}-P_{valve,out}}}---\left(3\right)$

Wherein: KV (k) valve is in valve characteristic during aperture k；G_valveValve is in out The flow of valve is flow through during degree k；P_valve,inValve is in valve inlet pressure during aperture k； P_valve,outValve is in valve export pressure during aperture k.

Described water pump efficiency η_pumpThe water pump inlet outlet pressure differential of measurement can be passed through and pass through water pump Flow be calculated according to formula (4)；

${\mathrm{\η}}_{pump}=\frac{G_{pump}(P_{pump,out}-P_{pump,in})}{W_{pump}{\mathrm{\η}}_{elec}}---\left(4\right)$

Wherein: η_pumpThe actual operating efficiency of water pump；G_pumpFlow through the flow of water pump；P_pump,in The inlet pressure of water pump；P_pump,outThe outlet pressure of water pump；η_elecThe efficiency of motor.

Operational efficiency η of described boiler_boilerCan be by the natural gas consumption of the boiler of measurement and outlet Heat is calculated according to formula (5)；

${\mathrm{\η}}_{boiler}=\frac{Q_{boiler}}{{\mathrm{Nq}}_{gas}}---\left(5\right)$

Wherein: η_boilerThe actual operating efficiency of boiler；Q_boilerThe quantity of heat production of boiler；N is natural Gas consumption；q_gasThe Lower heat value of natural gas.

The present invention solves described technical problem, additionally provide a kind of system realizing transparent heat supply method, It is characterized in that: this system data is distinguished by acquisition module, communication module, central server, system performance Knowing module and operational management module composition, wherein acquisition module is used for gathering various kinds of sensors and instrumented data, Communication module is responsible for sensor and instrumented data are uploaded to central server, is built in central server System performance identification module identification go out system performance, and be supplied to operational management module, operational management mould Block is according to the operation of the objective management heating system set.

Compared with traditional heat supply, the two essential difference is in that: the method for operation of tradition heating system is to the greatest extent It is likely to reduced the installation quantity of sensor, by potential physics law, various it is assumed that carry out hypothetical system Current situation, and situation by inference goes to instruct heating network operation and regulation；And transparent heating system The method of operation is the installation quantity increasing sensor as far as possible, gathers mass data, according to potential thing Reason rule goes reject pseudo-data or reduce, by big data technique, the impact that pseudo-data are brought, thus grasps confession Hot systems is closest to real situation, and goes to instruct operation and regulation according to real situation.

The benefit of do so has:

(1) load is possibly realized from prediction.Big data technique is utilized to pick out the physical characteristic of building, then In conjunction with data such as the room temperature surveyed, supply and return water temperature, outer temperature, the confession of system can be gone out completely with automatic Prediction Thermic load；

(2) the heat supply service of high performance-price ratio is possibly realized.Obviously under conditions of a small amount of sensor is only installed, Pursue universality runing adjustment strategy be one extremely difficult, even not possible with thing, and for Transparent heating system, can utilize real time data and known features for arbitrary heating system, carries completely Go out the personalized runing adjustment strategy adapted therewith；

(3) fault self-diagnosis is possibly realized.According to the system performance that picks out with about the change of data, energy Enough realize system fault self-diagnosis function, including judging whether equipment breaks down online, which kind of event occurs Barrier, it should pay the utmost attention to which mode and release fault；

(4) management of efficient quick is possibly realized.As which type of level current system energy consumption is in, indoor Which type of level is temperature be in, and which type of level is balance be in, and system exists which problem etc. all Can be analyzed by big data technique, thus convenient management and decision-making.

Accompanying drawing explanation

Fig. 1 is the system principle Organization Chart realizing transparent heat supply method.

Detailed description of the invention

Below in conjunction with the accompanying drawings and technical scheme is described further by example, but it does not constitute right The restriction of the claims in the present invention:

Embodiment 1:

The present invention proposes a kind of method realizing transparent heat supply, and it solves the technology that described technical problem uses Scheme comprises the steps:

(1) at every boiler import and export of heating system, often organize plate type heat exchanger primary side, Secondary side import and export, at the import and export of every dirt separator, at the import and export of every circulating pump, The import and export of every make-up pump, the import and export of every electrically operated valve, at every water collecting and diversifying device and Branched pipe on water collecting and diversifying device, at confession backwater, the heating power of Lou Dong of each branch line of secondary side pipe network Entrance, the import and export of every standpipe, the hot entrance of each user be respectively mounted can Real-time Collection transmission Temperature sensor and pressure transducer；Change in the import of every boiler, the import of every water pump, often group plate Import install effusion meter；Import at every small pump installs water meter, in the branch of every water collecting and diversifying device Effusion meter installed by pipe, installs effusion meter at each branch line of secondary side, installs heat at building consumer heat inlet Scale；Every boiler erection gas meter；The circuit of every circulating pump is installed ammeter；In each heat User's family installation room temperature sensor；At outdoor mounted outdoor temperature sensor；

(2) real-time measurement system physical parameter everywhere, including water temperature T, pressure P, flow G, heat Amount Q, power consumption W, natural gas consumption N, user indoor temperature t_n, outdoor temperature t_w；

(3) method utilizing system identification, picks out the crucial interior extrinsic parameter of system, including pipe network Drag characteristic S, architectural exterior-protecting construction KF, valve modulating properties KV (k), pump efficiency, boiler are imitated Rate so that the crucial inside and outside characterisitic parameter of system is over time and space for system user Know, transparent；

Wherein: resistance of pipe system characteristic S identification is carried out in accordance with the following steps:

Data pre-processing unit is by the inlet pressure P of 100 pipeline sections the most in the same time_in, outlet pressure P_outPassing to characteristic identification unit with the flow G of pipeline section, characteristic identification unit is counted according to formula (1) Calculating the drag characteristic S of pipeline section, wherein said pipeline section pressure reduction and pipeline flow can measure acquisition, Can also be calculated by measuring portions；

$S=\frac{\sqrt{P_{in}-P_{out}}}{G^2}---\left(1\right)$

Wherein: P_inPipeline section inlet pressure；P_outPipeline section outlet pressure；Flow through in G pipeline section Flow；The drag characteristic of S pipeline section.

Result checks the S value of 100 times that unit comparative characteristic identification unit passes over, if these 100 times S mean square deviation less than 0.1%, then it is assumed that characteristic S of identification meets requirement, and output characteristics unit is to this 100 S ask for calculating meansigma methods, and the pipeline section drag characteristic result as identification exports；Otherwise make data More newly inputted data of pretreatment unit and/or allow characteristic identification unit more new estimation arithmetic, re-start system Characteristic identification, repeat the above steps, until the system performance of final identification meets requirement；

Architectural exterior-protecting construction characteristic KF identification is carried out in accordance with the following steps:

Data pre-processing unit by the heat consumption Q of 1000 building consumer heat inlet calorimeters the most in the same time, The average indoor temperature measured when not windowing in cloudy day building or equivalent indoor temperature t of calculating_n, outdoor flat All temperature t_wPassing to characteristic identification unit, characteristic identification unit calculates architectural exterior-protecting construction according to formula (2) Characteristic,

$KF=\frac{Q}{t_n-t_w}---\left(2\right)$

Wherein: the heat consumption of Q building hot entrance calorimeter；t_nMeasure when not windowing in cloudy day building The equivalent indoor temperature of average indoor temperature or calculating；t_wOutdoor mean temperature.

Result checks 1000 KF values that unit comparative characteristic identification unit passes over, if 1000 times KF value mean square deviation is less than 0.1%, then it is assumed that architectural exterior-protecting construction characteristic KF of identification meets requirement, defeated Going out characteristics unit to ask for these 1000 KF values calculating meansigma methods, the architectural exterior-protecting construction as identification is special Property result exports；Otherwise make the more newly inputted data of data pre-processing unit and/or allow characteristic identification unit More new estimation arithmetic, re-starts system performance identification, repeat the above steps, until final identification is System characteristic meets requirement；

Data pre-processing unit flows through the stream of valve when 1000 valves the most in the same time are in aperture k Valve inlet pressure P when amount G, valve are in aperture k_in, valve valve export pressure when being in aperture k P_outPass to characteristic identification unit, characteristic identification unit according to formula (3) calculate valve opening be in k time Modulating properties KV (k) of electrically operated valve:

$KV\left(k\right)=\frac{G}{\sqrt{P_{in}-P_{out}}}---\left(3\right)$

Wherein: KV (k) valve is in valve characteristic during aperture k；G valve is in aperture k Time flow through the flow of valve；P_inValve inlet pressure when valve is in aperture k；P_outAt valve Valve export pressure when aperture k.

Result is checked unit and is compared 1000 KV (k) picked out, if 1000 KV (k) are mean square Difference is less than 0.5%, then it is assumed that modulating properties KV (k) of the electrically operated valve of identification meets requirement, output spy Property unit these 1000 modulating properties values are asked for calculate meansigma methods, be in aperture k as electrically operated valve Time modulating properties KV (k) identification result output；Otherwise make the more newly inputted number of data pre-processing unit According to and/or allow characteristic identification unit more new estimation arithmetic, re-start system performance identification, repeat above-mentioned step Suddenly, until the system performance of final identification meets requirement；

Data pre-processing unit flows through the flow G of water pump the most in the same time by 1000 times_pump, the import of water pump Pressure P_pump,in, the outlet pressure P of water pump_pump,out, the measured power W of pump motor_pump, motor Efficiency eta_elecPassing to characteristic identification unit, characteristic identification unit calculates water pump operation effect according to formula (4) Rate η_pump,

${\mathrm{\η}}_{pump}=\frac{G_{pump}(P_{pump,out}-P_{pump,in})}{W_{pump}{\mathrm{\η}}_{elec}}---\left(4\right)$

Wherein: η_pumpThe actual operating efficiency of water pump；G_pumpFlow through the flow of water pump；P_pump,in The inlet pressure of water pump；P_pump,outThe outlet pressure of water pump；W_pumpThe actual measurement of pump motor Power；η_elecThe efficiency of motor.

Result checks the η that unit compares 1000 times picked out_pumpIf, 1000 η_pumpMean square deviation is little In 0.1%, then think the water pump efficiency η of identification_pumpMeeting requirement, output characteristics unit is to this 1000 water pump efficiencies are asked for calculating meansigma methods, as water pump efficiency characteristic η_pumpIdentification Result exports；Otherwise make the more newly inputted data of data pre-processing unit and/or make the renewal of characteristic identification unit distinguish Know algorithm, re-start system performance identification, repeat the above steps, until the system performance of final identification Meet requirement；

Data pre-processing unit is by the quantity of heat production Q of 1000 different time sections boilers_boiler, natural gas disappears Consumption N, Lower heat value q of natural gas_gasPassing to characteristic identification unit, characteristic identification unit is according to formula (5) the actual operating efficiency η of boiler is calculated_boiler:

${\mathrm{\η}}_{boiler}=\frac{Q_{boiler}}{{\mathrm{Nq}}_{gas}}---\left(5\right)$

Wherein: η_boilerThe actual operating efficiency of boiler；Q_boilerThe quantity of heat production of boiler；N is natural Gas consumption；q_gasThe Lower heat value of natural gas.

Result checks the η that unit compares 1000 times picked out_boilerIf, 1000 η_boilerMean square deviation Less than 0.1%, then think the boiler actual operating efficiency η of identification_boilerMeet requirement, output characteristics unit Ask for these 1000 boiler actual operating efficiencies calculating meansigma methods, as the actual operating efficiency of boiler η_boilerIdentification result output；Otherwise make the more newly inputted data of data pre-processing unit and/or allow characteristic distinguish Knowing unit more new estimation arithmetic, re-starting system performance identification, repeat the above steps, until finally distinguishing The system performance known meets requirement；

(4) water temperature T, pressure P, flow G, heat are included but not limited to based on known real-time parameter Q, power consumption W, natural gas consumption N and the system performance picked out include but not limited to that resistance of pipe system is special Property S, architectural exterior-protecting construction KF, valve modulating properties KV, water pump actual operating efficiency η_pump, pot Stove actual operating efficiency η_boiler, according to the operation of the objective management heating system set, as passed through identification The architectural exterior-protecting construction KF characteristic gone out, to predict the load in building, regulates going out of boiler on this basis Power, regulates pipe network by resistance of pipe system characteristic S picked out and balances and prediction accident of pipeline network；By distinguishing Electrically operated valve modulating properties KV (k) known carrys out Accurate Prediction to realize controlling the change of target valve aperture Change so that control Fast Convergent；By the boiler actual operating efficiency η picked out_boilerRegulate boiler Combustion conditions；By the water pump actual operating efficiency η picked out_pumpTransform or regulate water pump；

(5) for using above-mentioned heat supply method to carry out the system of heat supply, as it is shown in figure 1, this system By data acquisition module, communication module, central server, system performance identification module and operational management mould Block is constituted, and wherein acquisition module is used for gathering various kinds of sensors and instrumented data, and communication module is responsible for passing Sensor and instrumented data are uploaded to central server, the system performance identification mould being built in central server Block picks out system performance, and is supplied to operational management module, and operational management module is according to the target set The operation of management heating system.Specifically, each sensor all band GPRS communication module, thus sensor The data gathered are uploaded to the central server of the module with said system characteristic identification, central authorities' clothes automatically Business device by built-in system characteristic identification module according to each characteristic of preceding method identification system, the most built-in Operational management module according to the operation of objective management heating system set.Such as the building by picking out Building enclosure KF characteristic predicts the load in building, regulates exerting oneself of boiler on this basis；Pass through Resistance of pipe system characteristic S picked out is to regulate pipe network balance and prediction accident of pipeline network；Electronic by identification Valve modulating properties KV (k) carrys out Accurate Prediction to realize controlling the change of target valve aperture so that control Fast Convergent processed；By the boiler actual operating efficiency η picked out_boilerRegulate the combustion conditions of boiler； By water pump actual efficiency η picked out_pumpTransform or regulate water pump；

Should be appreciated that above-mentioned embodiment is only one of embodiments of the invention, be used for describing this The application of bright principle, in the case of without departing substantially from the spirit or essential characteristics of the present invention, the present invention can be real Execute the concrete form for other.Described embodiment in terms of which from the point of view of all will be understood that be only make For illustrative, and it is not considered as restrictive.Therefore, the scope of the present invention should be with appended right Requirement is as the criterion rather than is as the criterion with aforementioned invention, according to connotation and the equivalent manners institute of claim Within the scope of the modification done both falls within it.

Although having utilized the most practical and the most relevant to be presently considered to be the present invention Characteristic and details describe the present invention all sidedly, but it will be apparent to those skilled in the art that Various changes and/or improvement, include, but are not limited to size, material, shape, interface shape, interface position Putting, function and mode of operation, the change in use assembling and making, these are wanted all without departing from right Ask principle and the concept of the present invention of middle elaboration.

Claims (9)

1. the method for a heat supply, it is characterised in that: comprise the following steps:

(1) in heating system, some sensors are disposed；

(2) utilize the sensor disposed, measure systematic parameter；

(3) utilize system performance discrimination method, pick out heating system characteristic；

(4) based on known real-time parameter and the system performance that picks out, according to the objective management fortune set Row heating system.

Method the most according to claim 1, is further characterized in that: described sensor include temperature sensor, Pressure transducer, differential pressure pickup, flow transducer, calorimeter, ammeter, water meter, gas meter In one or more.

Method the most according to claim 1, is further characterized in that: described measurement systematic parameter includes user Indoor temperature, outdoor temperature, supply and return water temperature, pressure, pressure reduction, flow, heat, power consumption, Water consumption, one or more in consumption amount of natural gas.

Method the most according to claim 1, is further characterized in that: described heating system characteristic includes system Pipe network and equipment resistance characteristic, architectural exterior-protecting construction heat preservation property, the modulating properties of valve, board-like change One or more in the thermodynamic property of hot device, boiler efficiency, pump efficiency.

Method the most according to claim 1, is further characterized in that: described system performance discrimination method by Data pre-processing unit, characteristic identification unit, result check unit and four steps of characteristic output unit Constitute.Described data pre-processing unit is responsible for initial data is carried out pretreatment, rejects invalid or bad number According to, and reliable data are passed to characteristic identification unit；Described characteristic identification unit is according to built-in Algorithm is responsible for the identification of system performance；Described result is checked unit and is responsible for picking out characteristic identification unit System performance check；Described characteristic output unit is responsible for the output of final response.Detailed process For: described data pre-processing unit by the non-sensing needed for the measured data of sensor and identification algorithm Device data carry out pretreatment, reject invalid or bad data, and reliable data are passed to characteristic identification Unit；The built-in algorithm for system performance identification of characteristic identification unit, according to data pre-processing unit The data that transmission comes, the characteristic of identification heating system, and identification result is passed to result check unit； Result is checked unit and is compared the resultant error several times of identification, it is determined whether within allowed band, if It is then system performance to be exported by characteristic output unit as identification result, otherwise makes data locate in advance Reason more newly inputted data of unit and/or allow characteristic identification unit more new estimation arithmetic, again to system performance Carry out identification, repeat the above steps, until the system performance of final identification meets requirement.

Method the most according to claim 1, is further characterized in that: described heating system include thermal source, Pipe network, heat radiation end links.

7. according to the method described in claim 1-6, it is further characterized in that: when determining system identifying method, As long as method of following needs just to install the principle of respective sensor, first determine the characteristic needing identification, The method determining this characteristic of identification again, determines, finally according to the method, the physical parameter needing to measure and pacifies Fill corresponding sensor, thus total energy ensure the characteristic that needs can identification out.

8. according to the method described in claim 1-7, it is further characterized in that: described resistance of pipe system characteristic S is distinguished Know algorithm to be calculated according to formula (1) by the flow of pipeline section pressure reduction and pipeline section, wherein said pipeline section Pressure reduction and pipeline flow can measure acquisition, it is also possible to be calculated by measuring portions；

$S=\frac{\sqrt{P_{in}-P_{out}}}{G^2}---\left(1\right)$

Wherein: P_inPipeline section inlet pressure；P_outPipeline section outlet pressure；The stream flow through in G pipeline section Amount；The drag characteristic of S pipeline section.

Described architectural exterior-protecting construction characteristic KF identification algorithm can be by measuring heat and the calculating in building Or room, the internal and external temperature measured is calculated according to formula (2):

$KF=\frac{Q}{t_n-t_w}---\left(2\right)$

Wherein: the heat consumption of Q building consumer heat inlet calorimeter；t_nMeasure when not windowing in cloudy day building Average indoor temperature or the equivalent indoor temperature of calculating；t_wOutdoor mean temperature.

Described valve modulating properties KV (k) identification algorithm can by measure valve two ends pressure reduction and It is calculated according to formula (3) by the flow of valve；

$KV\left(k\right)=\frac{G_{valve}}{\sqrt{P_{valve,in}-P_{valve,out}}}---\left(3\right)$

Wherein: KV (k) valve is in valve characteristic during aperture k；G_valveValve is in out The flow of valve is flow through during degree k；P_valve,inValve inlet pressure when valve is in aperture k； P_valve,outValve export pressure when valve is in aperture k.

Described water pump efficiency η_pumpThe water pump inlet outlet pressure differential of measurement can be passed through and pass through water pump Flow be calculated according to formula (4)；

${\mathrm{\η}}_{pump}=\frac{G_{pump}(P_{pump,out}-P_{pump,in})}{W_{pump}{\mathrm{\η}}_{elec}}---\left(4\right)$

Wherein: η_pumpThe actual operating efficiency of water pump；G_pumpFlow through the flow of water pump；P_pump,in The inlet pressure of water pump；P_pump,outThe outlet pressure of water pump.

Operational efficiency η of described boiler_boilerCan be by the natural gas consumption of the boiler of measurement and outlet Heat is calculated according to formula (5)；

${\mathrm{\η}}_{boiler}=\frac{Q_{boiler}}{{\mathrm{Nq}}_{gas}}---\left(5\right)$

Wherein: η_boilerThe actual operating efficiency of boiler；Q_boilerThe quantity of heat production of boiler；N is natural Gas consumption；q_gasThe Lower heat value of natural gas.

9. the system carrying out heat supply according to the heat supply method described in claim 1-8, it is characterised in that:

This system is by data acquisition module, communication module, central server, system performance identification module and fortune Line pipe reason module composition, wherein acquisition module is used for gathering various kinds of sensors and instrumented data, communication mould Block is responsible for sensor and instrumented data are uploaded to central server, and be built in central server is System characteristic identification mould picks out system performance and is supplied to operational management module, and operational management module is according to setting The operation of fixed objective management heating system.