CN214664775U - Heat supply automation operation governing system based on characteristic parameter discerns - Google Patents
Heat supply automation operation governing system based on characteristic parameter discerns Download PDFInfo
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Abstract
The utility model relates to a heat supply field, concretely relates to automatic operation governing system of heat supply based on characteristic parameter discerns. A system management platform and a data storage server are arranged in a centralized control center of the system, the input end of the system management platform is respectively in signal connection with a user side room temperature sensor, a heat source water supply and return temperature sensor, a heat source water return flow meter, a heat exchange station primary side water supply and return temperature sensor, a heat exchange station primary side water return flow meter, a heat exchange station secondary side water supply and return temperature sensor and a heat exchange station secondary side flow meter, the output end of the system management platform is in signal connection with a heat exchange station primary side electric regulating valve PLC controller, and the PLC controller is in signal connection with the heat exchange station primary side electric regulating valve. The utility model discloses a system management platform and PLC controller intelligent regulation control realize heat source "heat supply as required", and each heat exchange station once net flow "distributes as required", reach energy-concerving and environment-protective and automatic regulation purpose.
Description
Technical Field
The invention relates to the field of heat supply, in particular to a heat supply automatic operation adjusting system based on characteristic parameter identification.
Background
For a long time, under a rough type management mode, operation and regulation of a heat supply system are determined by operation and maintenance personnel according to past experience, and heat supply quantity of a heat source is often deviated from actual heat load demand, so that energy waste and emission of atmospheric pollutants are increased; the water supply temperature of the heat source is theoretically calculated and determined according to a heat supply temperature adjusting curve and is often inconsistent with the actual operation requirement; the opening degree of the primary side regulating valve of the heat exchange station is manually determined by operation and maintenance personnel according to the primary side return water temperature of each heat exchange station, the work load of the network is large, the hydraulic imbalance phenomenon occurs sometimes, and the heat supply effect of a user is directly influenced.
At present, part of heat supply networks in China are provided with automatic control adjusting equipment, unattended operation to a certain degree is realized, the automatic operation adjusting level is not high, heat supply adjustment is still based on manual experience, and 'heat supply according to needs and distribution according to needs' in a true sense cannot be realized. In order to realize intelligent and automatic operation regulation of the heat supply system, the potential operation characteristics of the heat supply system are identified according to actual operation data of the heat supply system, and the heat load of the heat supply system is predicted on the basis, so that the flow of a primary network is distributed as required, the purposes of saving energy and reducing consumption are realized, and the manual management cost in the operation process of the heat supply system is reduced. However, the existing heat supply system is lack of a data analysis and calculation model, historical data of operation is idle, a data island is formed, the heat supply system cannot be intelligently and automatically operated and adjusted, and ideal operation conditions are difficult to realize.
SUMMERY OF THE UTILITY MODEL
The utility model aims at solving the problem that the automation level of the existing heating system is not high, historical operation data is idle and can not guide actual operation, lack the intelligent operation adjustment calculation model, heating system operation adjustment is still decided according to the artificial experience, the heating system energy consumption is high, the pollution is serious, the technical problem that the operation and maintenance workload is large is solved, a heating automatic operation adjustment system based on characteristic parameter identification is provided, a data storage server stores the historical operation data and the meteorological parameter of the heating system, the system management platform calls the data in the database, the characteristic parameter of the heating system is identified, and realize heat load prediction on the basis, heat source water supply temperature recommendation and primary network flow distribution and heat consumption evaluation, the PLC controller of the heat exchange station receives the system management platform instruction, the opening degree of the electric regulating valve is adjusted, thereby realizing that the primary network flow of each heat exchange station is distributed as required, the purposes of energy conservation, environmental protection and automatic operation regulation of a heating system are achieved.
The utility model discloses a realize that the technical scheme that above-mentioned purpose adopted is: the utility model provides an automatic operation governing system of heat supply based on characteristic parameter discerns is equipped with a heat transfer station between heat source and every heat supply region, is equipped with the primary network pipe network between heat source and the heat transfer station, is equipped with the secondary network pipe network between heat transfer station and the heat supply user, the indoor radiator that is provided with of heat supply user, its characterized in that: the system management platform is connected with the data storage server through signals, the input end of the system management platform is respectively connected with a user side room temperature sensor, a heat source supply and return water temperature sensor, a heat source return water flow meter, a heat exchange station primary side supply and return water temperature sensor, a heat exchange station primary side return water flow meter, a heat exchange station secondary side supply and return water temperature sensor and a heat exchange station secondary side flow meter through signals, the output end of the system management platform is connected with the input end of a heat exchange station primary side electric regulating valve PLC controller through signals, and the output end of the heat exchange station primary side electric regulating valve PLC controller is connected with the heat exchange station primary side electric regulating valve through signals; the heat source supplies return water temperature sensor to install in heat source entry outlet department, heat source return water flowmeter installs on heat source return water pipe, heat transfer station once supplies return water temperature sensor to install on heat transfer station once supplies the return water pipe, heat transfer station once side flowmeter installs on heat transfer station once supplies water or return water pipe, heat transfer station secondary side supplies return water temperature sensor to install on heat transfer station secondary side supplies the return water pipe, heat transfer station secondary side supplies water flowmeter and installs on heat transfer station secondary side water supply pipe, heat transfer station once side electric control valve installs on heat transfer station once side water supply pipe.
Further, the user side room temperature sensor adopts a C15W-NB crystal vibration type digital temperature sensor.
Furthermore, the signal transmission mode between the user side room temperature sensor and the system management platform is a wireless transmission mode.
Furthermore, the heat source water supply and return temperature sensor, the heat exchange station primary side water supply and return temperature sensor and the heat exchange station secondary side water supply and return temperature sensor are all PT100 temperature sensors.
Furthermore, the heat source backwater flowmeter, the heat exchange station primary side flowmeter and the heat exchange station secondary side water supply flowmeter are all electromagnetic flowmeters or ultrasonic flowmeters.
Furthermore, the heat source backwater flowmeter, the heat exchange station primary side flowmeter and the heat exchange station secondary side flowmeter are arranged on a linear pipe section of the pipeline, the front end of the flowmeter is at least provided with a linear pipe section with the pipe diameter length being 10 times that of the pipeline, and the rear end of the flowmeter is at least provided with a linear pipe section with the pipe diameter length being 5 times that of the pipeline.
Compared with the prior art, the utility model discloses beneficial effect as follows:
(1) the utility model discloses a heating system characteristic parameter is discerned to the real-time operating data of each measuring point of real-time supervision heating system to predict heating system heat load according to the weather forecast, give heat source water supply temperature recommendation value, distribute a net flow, system management platform issues control command, through each heat transfer station of PLC control once side electric control valve realize reasonable "distribution as required" of each heat transfer station net flow, reach energy-concerving and environment-protective purpose.
(2) The utility model discloses carry out heat load prediction and automatic operation regulation on heating system characteristic parameter discerns the basis, through theoretical heat transfer formula guide, make prediction, regulation and control model press close to heating system actual operation law more, reduced prediction error to further reduce sample data volume, solved and simply relied on return water temperature to carry out the longer problem of regulating time in the network flow distribution accommodation process once.
(3) The utility model discloses a PLC controller automatic control adjusts, and the intelligent operation of whole heating system has avoided the influence that artificial experience brought, has reduced on-the-spot fortune dimension personnel's working strength and the operation degree of difficulty, has reduced operation and administrative cost.
Drawings
Fig. 1 is the utility model discloses a heat supply automation operation governing system structure picture based on characteristic parameter discerns.
In the figure: 1. the system comprises a heat source water supply temperature sensor, 2 a heat source backwater temperature sensor, 3 a heat source backwater flow meter, 4 a heat exchange station primary side water supply temperature sensor, 5 a heat exchange station primary side backwater temperature sensor, 6 a heat exchange station primary side electric regulating valve, 7 a heat exchange station primary side flow meter, 8 a heat exchange station secondary side water supply temperature sensor, 9 a heat exchange station secondary side backwater temperature sensor, 10 a heat exchange station secondary side water supply flow meter, 11 a heat exchanger, 12 a radiator and 13 a room temperature sensor.
Detailed Description
The present invention will be described in detail with reference to the accompanying drawings and examples, but the present invention is not limited to the specific examples.
As shown in fig. 1, in the automatic operation regulation system for heat supply based on characteristic parameter identification, a heat exchange station is established between a heat source and each heat supply area, a primary network management network is established between the heat source and the heat exchange station, a secondary network pipeline is established between the heat exchange station and a heat supply user, and a radiator 12 is arranged in the heat supply user room.
A system management platform and a data storage server are arranged in the centralized control center, the system management platform is in signal connection with the data storage server, the input end of the system management platform is respectively provided with a user side room temperature sensor 13, a heat source water supply temperature sensor 1, a heat source return water temperature sensor 2, a heat source return water flowmeter 3 and a heat exchange station primary side water supply temperature sensor 4, the heat exchange station primary side water return temperature sensor 5, the heat exchange station primary side flow meter 7, the heat exchange station secondary side water supply temperature sensor 8, the heat exchange station secondary side water return temperature sensor 9 and the heat exchange station secondary side water supply flow meter 10 are in signal connection, the output end of the system management platform is in signal connection with the input end of the heat exchange station primary side electric regulating valve PLC, and the output end of the heat exchange station primary side electric regulating valve PLC is in signal connection with the heat exchange station primary side electric regulating valve 6.
The signal transmission mode between the user side room temperature sensor 13 and the system management platform is a wireless transmission mode, and the user side room temperature sensor 13 adopts a C15W-NB crystal vibration type digital temperature sensor; the heat source supply and return water temperature sensor, the heat exchange station primary side supply and return water temperature sensor and the heat exchange station secondary side supply and return water temperature sensor are all PT100 temperature sensors; the heat source backwater flowmeter 3, the heat exchange station primary side flowmeter 7 and the heat exchange station secondary side water supply flowmeter 10 adopt electromagnetic flowmeters or ultrasonic flowmeters.
The heat source water supply temperature sensor 1 is arranged on a water supply pipeline at a heat source outlet, the heat source water return temperature sensor 2 is arranged on a water return pipeline at a heat source inlet and used for measuring the temperature of the heat source water supply return, the heat source water return flowmeter 3 is arranged on a linear pipeline section of the heat source water return pipeline, the front end of the flowmeter is provided with a linear pipeline section with the pipe diameter length being at least 10 times, and the rear end of the flowmeter is provided with a linear pipeline section with the pipe diameter length being at least 5 times, and used for measuring the flow rate of the heat source water return.
The heat exchange station is provided with a heat exchanger 11, a heat exchange station primary side water supply temperature sensor 4 is installed on a heat exchange station primary side water supply pipeline, a heat exchange station primary side water return temperature sensor 5 is installed on a heat exchange station primary side water return pipeline and used for measuring the temperature of heat exchange station primary side water supply return, a heat exchange station primary side flowmeter 7 is installed on a linear pipe section of the heat exchange station primary side water return pipeline, the front end of the flowmeter is provided with a linear pipe section with the pipe diameter being 10 times of that of at least, the rear end of the flowmeter is provided with a linear pipe section with the pipe diameter being 5 times of that of at least and used for measuring the primary side flow of the heat exchange station, the heat exchange station primary side flowmeter 7 can also be installed on the heat exchange station primary side water supply pipeline, a heat exchange station primary side electric regulating valve 6 is installed on the heat exchange station primary side water supply pipeline, and a PLC controller executes a system management platform operation regulating instruction to control the opening of the electric regulating valve; a heat exchange station secondary side water supply temperature sensor 8 is installed on a heat exchange station secondary side water supply pipeline, a heat exchange station secondary side water return temperature sensor 9 is installed on a heat exchange station secondary side water return pipeline and used for measuring the temperature of the heat exchange station secondary side water supply return, a heat exchange station secondary side water supply flowmeter 10 is installed on a linear pipe section of the heat exchange station secondary side water supply pipeline, the front end of the flowmeter is provided with at least 10 times of pipe diameter length of the linear pipe section, and the rear end of the flowmeter is provided with at least 5 times of pipe diameter length of the linear pipe section and used for measuring the flow of the heat exchange station secondary side.
The system management platform integrates an automatic operation regulation model algorithm of the existing heating system, can form a regulation instruction, distributes the primary network flow of the heat exchange station as required by characteristic parameter identification to form a primary side electric regulation valve regulation instruction of the heat exchange station, can display and inquire the operation parameters of the heating system, the predicted value of the heat load of the heating system, the recommended value of the water supply temperature of a heat source and the energy consumption condition of each heat exchange station, a data memory stores historical operation data and meteorological data for the automatic operation regulation model algorithm of the heating system in the system management platform to call, can detect the room temperature of a user side and feed back in time by installing a room temperature sensor 13 at the user side, can timely regulate the operation parameters according to the heat supply demand of the user, realizes the accurate heating of each heating area, ensures the room temperature and effectively improves the stable comfort level of the room temperature, the heating energy consumption and the cost are reduced, and the heating effect is ensured to the maximum extent.
The automatic operation regulation of the heating system specifically comprises the following steps:
s1: listing the process description equations of the heat exchange station primary side heat supply, the heat exchange station secondary side heat supply, the heat exchanger heat exchange, the user radiator heat dissipation and the user enclosure structure heat consumption, and finding outCharacterizing the characteristic constant of the operation characteristic of the heating system, and supplying water temperature T to the primary side of the heat exchange stationg_1Primary side return water temperature T of heat exchange stationh_1Primary side flow F of heat exchange stationg_1Secondary side water supply temperature T of heat exchange stationg_2Secondary side backwater temperature T of heat exchange stationh_2User indoor temperature TnAnd outdoor weather temperature TwHistorical data of seven parameters are used as input quantity, and a characteristic constant of the heating system is identified by a maximum likelihood estimation method to obtain a specific equation of each heat transfer process of the whole heating system;
the method comprises the following specific steps:
s11: constructing a maximum likelihood estimation regression theoretical model:
1) the maximum likelihood estimation model of the two-variable linear regression model parameters can be expressed as follows:
y＝αx+β+ε (1)
in the formula: y is a response variable; x is a dependent variable; alpha is the slope of the straight line; beta is the straight line intercept, and epsilon is the error;
the model parameter maximum likelihood estimation results are as follows:
in the formula:
is the response variable sample mean;
is the dependent variable sample average value;
is a linear slope maximum likelihood estimate;
is a linear intercept maximum likelihood estimate;
in the formula: x is the number ofiIs a dependent variable in the ith group of samples; y isiResponse variables in the ith group of samples;
in the formula:
is a variance estimation value; n is the number of samples; epsiloniError in the ith set of samples;
2) the maximum likelihood estimation model of the multiple linear regression model parameters can be expressed as follows:
y＝β0+β1x1+β2x2+...+βkxk+ε (5)
in the formula: y is a response variable; beta is a0Is a spatial intercept; x is the number of1、x2、xkIs a dependent variable related to the response variable; beta is a1、β2、βkIs a dependent variable x1、x2、xkA corresponding weight factor; epsilon is the error;
for a model with n sets of measurements, the matrix expression is:
Y＝Xβ+E (6)
in the formula: y is a response variable sample matrix; x is a dependent variable sample matrix; beta is a dependent variable weight factor matrix; e is a sample error matrix;
the model parameter maximum likelihood estimation results are as follows:
in the formula:
maximum likelihood estimation of a dependent variable weight factor matrix;
in the formula:
is a variance estimation value; n is the number of samples;
s12: listing basic formulas of heat exchange stations and users for heat supply:
the primary network heat supply can be expressed as follows:
Qg_1＝C1·(Tg_1-Th_1)·Fg_1 (13)
in the formula: qg_1The heat supply amount is KW for the primary network of the heat exchange station; c1Is a static constant related to the specific heat capacity of water; t isg_1、Th_1The temperature of the primary side water supply and the temperature of the primary side water return of the heat exchange station are respectively DEG C; fg_1Supplying water flow t/h to the primary side of the heat exchange station;
the secondary network heat supply can be expressed as follows:
Qg_2＝C1·(Tg_2-Th_2)·Fg_2 (14)
in the formula: qg_2The heat supply amount is KW for the secondary network of the heat exchange station; c1Is a static constant related to the specific heat capacity of water; t isg_2、Th_2Respectively the water supply temperature and the water return temperature of the secondary side of the heat exchange station at DEG C; fg_2Supplying water flow t/h to the secondary side of the heat exchange station;
when the water on the first side and the water on the second side of the heat exchanger flow reversely, the heat exchange quantity of the first side and the second side of the heat exchanger can be expressed as follows:
in the formula: q1_2The heat exchange quantity of the first side and the second side of the heat exchange station is kw; c1-2Is a static constant related to the heat transfer coefficient and the heat exchange area of the heat exchanger;
when the heat transfer coefficient of the radiator is constant, the heat dissipation capacity of the radiator can be expressed as follows:
in the formula: qs_sHeat dissipation capacity of the radiator, kw; c2Is a static constant related to the heat sink heat transfer coefficient and the heat sink area; t isnIndoor temperature of user, DEG C;
the heat consumption of the building is mainly related to the heat transfer coefficient of the enclosure structure, the area of the enclosure structure, the indoor temperature and the outdoor temperature, and when the heat transfer coefficient of the enclosure structure of the building is a constant, the heat consumption of the building can be expressed as follows:
Qj_h＝C3_1·[Tn-(C3_2·Tw+C3_3)] (17)
in the formula: qj_hHeat consumption for the building envelope, kw; c3_1Is a static constant related to the enclosure heat transfer coefficient and the enclosure area; t iswOutdoor temperature, deg.C, from meteorological data; c3_2、C3_3Is a correction constant for the outdoor temperature in the meteorological data;
s13: counting the temperature T of the primary side water supply of each heat exchange stationg_1Primary side return water temperature Th_1Primary side flow rate Fg_1Secondary side water supply temperature Tg_2Secondary side backwater temperature Th_2User indoor temperature TnHistorical operating data and outdoor air temperature forecast value T corresponding to timew；
S14: and (3) identifying characteristic parameters of the heating system:
1)C1related to specific heat capacity of water, and obtaining C by dimensional harmony principle11.1625;
2) identification C by means of two-variable linear regression model in step S111_2：
C1_2Identifying a maximum likelihood estimation model:
in the formula: beta is a deviation value caused by heat exchange loss of a heat exchanger and heat dissipation loss of a pipeline in the actual process; epsilon is the random error caused by the system and measurement;
3) identification C by means of two-variable linear regression model in step S112：
C2Identifying a maximum likelihood estimation model:
in the formula: beta is a deviation value caused by heat exchange loss of a heat exchanger and heat dissipation loss of a pipeline in the actual process; epsilon is the random error caused by the system and measurement;
4) identification of 1/C by means of multiple linear regression model in step S113_1+1/C2、C3_2、C3_3：
1/C3_1+1/C2、C3_2、C3_3Identifying a maximum likelihood estimation model:
in the formula: epsilon is the random error caused by the system and measurement;
C3_1according to C in step 3)2Identification result and 1/C in step 4)3_1+1/C2The identification result is obtained:
s2: the method comprises the steps of constructing a heat load prediction model, a primary network flow distribution model, a heat source water supply temperature recommended value calculation model, a user indoor temperature average value estimation model in a heat exchange station heat supply area and a heat exchange station heat consumption evaluation model on the basis of heat supply system characteristic parameter identification, predicting the heat load of the whole heat supply system through the load prediction model, determining the primary network distribution flow of each heat exchange station through the primary network flow distribution model, determining the heat source water supply temperature through the heat source water supply temperature recommended value calculation model, estimating the user indoor temperature average value in the heat exchange station heat supply area through the user indoor temperature average value estimation model in the heat exchange station heat supply area, and evaluating the heat exchange station heat consumption through the heat exchange station heat consumption evaluation model.
The method comprises the following steps of constructing a heat load prediction model on the basis of heat supply system characteristic parameter identification:
(1) given an external environment variable T per heat exchange stationw(n)；
(2) Setting a desired value T of the indoor temperature in the heat supply area of each heat exchange stationn(n)；
(3) Predicting the heat load Q of each heat exchange station0(n)：
The heat load prediction formula of each heat exchange station is as follows:
Q0(n)＝C3_1(n)·{Tn(n)-[C3_2(n)·Tw(n)+C3_3(n)]} (22)
in the formula: q0(n) predicting the heat load of each heat exchange station, kw; c3_1(n) identifying values of characteristic parameters of the heat supply system of each heat exchange station, the heat transfer coefficient of the enclosure structure and the area of the enclosure structure; c3_2(n)、C3_3(n) the corrected heating system characteristic parameter identification value of the outdoor temperature in the meteorological data of each heat exchange station;
(4) predicting the heat load Q of the whole heating system0：
The heat load of the whole heat supply system is the sum of the heat loads of the heat exchange stations:
Q0＝∑Q0(n) (23)
the method comprises the following steps of constructing a primary network flow distribution model on the basis of heat supply system characteristic parameter identification, wherein the method comprises the following steps:
(1) giving the external environment variable T of each heat exchange station at the same timew(n)；
(2) Setting a desired value T of the indoor temperature in the heat supply area of each heat exchange stationn(n)；
(3) Counting the total flow F of the primary network of the heat sourceg_0；
(4) Determining primary network distribution flow F of each heat exchange stationg_1(n)：
The primary network flow calculation formula of each heat exchange station is as follows:
in the formula: c3_1The characteristic parameter identification value of the heating system related to the heat transfer coefficient of the enclosure structure and the area of the enclosure structure is obtained; c3_2、C3_3A corrected heating system characteristic parameter identification value for outdoor temperature in the meteorological data; n, m represent heat exchange station n and heat exchange station m, respectively.
The method comprises the following steps of constructing a heat source water supply temperature recommended value calculation model on the basis of heat supply system characteristic parameter identification, wherein the heat source water supply temperature recommended value calculation model comprises the following steps:
(1) given an external environment variable T of the heat exchange stationw(n)；
(2) Primary and secondary net water supply flow variable F of given heat exchange stationg_1(n),Fg_2(n)；
(3) Setting a desired value T of the indoor temperature in a heat supply area of a heat exchange stationn(n)；
(4) Giving a recommended value T of the temperature of the heat source water supplyg_0：
The heat source supply water temperature is obtained by solving the following implicit function:
in the formula: c1(n) is 1.1625; c2(n) the characteristic parameter identification value of the heat supply system related to the heat transfer coefficient and the area of the radiator of each heat exchange station; c1_2(n) the characteristic parameter identification value of the heat supply system related to the heat transfer coefficient and the heat exchange area of each heat exchange station and the heat exchanger; c3_1(n) identifying values of characteristic parameters of the heat supply system of each heat exchange station, the heat transfer coefficient of the enclosure structure and the area of the enclosure structure; c3_2(n)、C3_3(n) the corrected heating system characteristic parameter identification value of outdoor temperature in the meteorological data of each heat exchange station.
The method comprises the following steps of constructing an average value estimation model of the indoor temperature of a user in a heat supply area of a heat exchange station on the basis of characteristic parameter identification of a heat supply system, and comprises the following steps:
(1) given an external environment variable T of the heat exchange stationw(n)；
(2) Primary and secondary net water supply flow variable F of given heat exchange stationg_1(n),Fg_2(n)；
(3) Given heat source water supply temperature Tg_0；
(4) Estimating the average value T of the user room temperature in the heat supply area of the heat exchange station by solving the implicit function formula (25)n(n)：
A heat exchange station heat consumption evaluation model is constructed on the basis of heat supply system characteristic parameter identification, and the heat exchange station heat consumption evaluation model is divided into the following two conditions:
1) the heat consumption evaluation of different heat exchange stations in the same heating season comprises the following steps:
(1) counting the heating area F (n) of each heat exchange station and accumulating the heat exchange area F (n) all year roundHeat supply amount
The accumulated annual heat supply is obtained by integrating the temperature of a primary side flow meter and primary side supply return water in the heat exchange station;
(2) calculating the annual heat supply of each heat exchange station unit heating area
The annual heating load calculation formula of unit heating area is as follows:
(3) comparing the heat supply amount per unit area of each heat exchange station, and evaluating heat consumption;
2) the heat consumption evaluation of different heating seasons of the same heat exchange station comprises the following steps:
(1) the heating area F (n) of each heat exchange station is counted, and the total annual heat supply is accumulated
The heating degree days HDD18, the accumulated annual heat supply is obtained by integrating the temperature of the primary side flow meter and the primary side return water supply in the heat exchange station;
(2) calculating the heat consumption of each heat exchange station in the unit heating degree days per square meter of heating area
The heat consumption calculation formula of the heating area per square meter per day of the unit heating degree is as follows:
(3) and comparing the heat consumption of each heat exchange station in unit heating degree days per square meter of heating area, and evaluating the heat consumption.
The utility model discloses heat supply automation operation governing system when the actual application, purchase local weather forecast service, acquire meteorological data in real time, all data are all stored in data memory, through the real-time data of each measuring point of real-time supervision heating system, again according to heating system historical operating data in the data memory, discern heating system characteristic parameter, and predict heating system heat load according to the weather forecast, give heat source water supply temperature recommendation value, and through PLC execution system management platform adjustment instruction, control each heat transfer station once side electric control valve, finally realize heat source "heat supply as required", each heat transfer station once net flow "distributes as required", reach energy-concerving and environment-protective, the purpose of heating system automation operation regulation, through PLC controller automatic control regulation, make the heat supply adjust along with user's demand, reduced on-the-spot operation and maintenance personnel's working strength and operation degree of difficulty, the operation and management cost is reduced.
The above description is further detailed in connection with the preferred embodiments of the present invention, and it is not intended that the specific embodiments of the present invention be limited to these descriptions. To the utility model belongs to the technical field of the ordinary technical personnel, do not deviate from the utility model discloses a under the prerequisite of the design, can also make simple deduction and replacement, all should regard as the utility model discloses a protection scope.
Claims (6)
1. The utility model provides an automatic operation governing system of heat supply based on characteristic parameter discerns is equipped with a heat transfer station between heat source and every heat supply region, is equipped with the primary network pipe network between heat source and the heat transfer station, is equipped with the secondary network pipe network between heat transfer station and the heat supply user, the indoor radiator that is provided with of heat supply user, its characterized in that: the system management platform is connected with the data storage server through signals, the input end of the system management platform is respectively connected with a user side room temperature sensor, a heat source supply and return water temperature sensor, a heat source return water flow meter, a heat exchange station primary side supply and return water temperature sensor, a heat exchange station primary side flow meter, a heat exchange station secondary side supply and return water temperature sensor and a heat exchange station secondary side water supply flow meter through signals, the output end of the system management platform is connected with the input end of a heat exchange station primary side electric regulating valve PLC controller through signals, and the output end of the heat exchange station primary side electric regulating valve PLC controller is connected with the heat exchange station primary side electric regulating valve through signals; the heat source supplies return water temperature sensor to install in heat source entry outlet department, heat source return water flowmeter installs on heat source return water pipe, heat transfer station once supplies return water temperature sensor to install on heat transfer station once supplies the return water pipe, heat transfer station once side flowmeter installs on heat transfer station once supplies water or return water pipe, heat transfer station secondary side supplies return water temperature sensor to install on heat transfer station secondary side supplies the return water pipe, heat transfer station secondary side supplies water flowmeter and installs on heat transfer station secondary side water supply pipe, heat transfer station once side electric control valve installs on heat transfer station once side water supply pipe.
2. A heating automation operation regulation system based on characteristic parameter identification as claimed in claim 1 wherein: the user side room temperature sensor adopts a C15W-NB crystal vibration type digital temperature sensor.
3. A heating automation operation regulation system based on characteristic parameter identification as claimed in claim 1 wherein: and the signal transmission mode between the user side room temperature sensor and the system management platform is a wireless transmission mode.
4. A heating automation operation regulation system based on characteristic parameter identification as claimed in claim 1 wherein: and the heat source water supply and return temperature sensor, the heat exchange station primary side water supply and return temperature sensor and the heat exchange station secondary side water supply and return temperature sensor are all PT100 temperature sensors.
5. A heating automation operation regulation system based on characteristic parameter identification as claimed in claim 1 wherein: the heat source backwater flowmeter, the heat exchange station primary side flowmeter and the heat exchange station secondary side water supply flowmeter are all electromagnetic flowmeters or ultrasonic flowmeters.
6. A heating automation operation regulation system based on characteristic parameter identification as claimed in claim 1 wherein: the heat source backwater flowmeter, the heat exchange station primary side flowmeter and the heat exchange station secondary side flowmeter are arranged on a linear pipe section of a pipeline, the front end of the flowmeter is at least provided with a linear pipe section with the pipe diameter length being 10 times, and the rear end of the flowmeter is at least provided with a linear pipe section with the pipe diameter length being 5 times.
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| CN114608065A (en) * | 2022-03-29 | 2022-06-10 | 天津大学 | Novel heating power inlet valve position adjusting and controlling method |
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2021
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114608065A (en) * | 2022-03-29 | 2022-06-10 | 天津大学 | Novel heating power inlet valve position adjusting and controlling method |
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