CN108534412B - Host monitoring device for maximum likelihood estimation method and estimation method - Google Patents
Host monitoring device for maximum likelihood estimation method and estimation method Download PDFInfo
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- CN108534412B CN108534412B CN201810241997.8A CN201810241997A CN108534412B CN 108534412 B CN108534412 B CN 108534412B CN 201810241997 A CN201810241997 A CN 201810241997A CN 108534412 B CN108534412 B CN 108534412B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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- F25B—REFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
The invention provides a host monitoring device for a maximum likelihood estimation method, which comprises a cold and heat source unit and an energy efficiency analyzer; the cold and hot source unit is provided with a cold water inlet, a cold water outlet, a cooling water inlet and a cooling water outlet, water pipes are respectively connected to the cold water inlet, the cold water outlet, the cooling water inlet and the cooling water outlet, and temperature sensors are arranged on the water pipes; the energy efficiency analyzer comprises a parameter acquisition module, an electric power monitor and a wiring terminal strip, wherein the electric power monitor is in communication connection with the parameter acquisition module, the electric power monitor is connected with the cold and hot source unit through a cable, and the parameter acquisition module and the electric power monitor are connected with the wiring terminal strip. The invention can monitor the energy efficiency of the cold and heat source units, namely the refrigerating unit, the heat recovery unit and the ground source heat pump unit under different operation conditions, and provides decisions and basis for the energy saving and consumption reduction scheme of the subsequent central air conditioner through monitoring the energy efficiency of the cold and heat source units under different operation conditions.
Description
Technical Field
The invention relates to a host monitoring device and an estimation method for a maximum likelihood estimation method, and belongs to the technical fields of heating ventilation air conditioning and energy metering.
Background
The cold and hot source unit is used for preparing cold/hot water in the central air conditioning system. The energy utilization efficiency of the cold and heat source unit is closely related to the operation condition of the cold and heat source unit, the operation condition refers to the operation working condition of the cold and heat source unit, namely the temperature difference between two devices and the unit load when the cold and heat source unit works, and the temperature difference between the two devices is expressed as the difference between the condensation temperature and the evaporation temperature of the refrigerant.
At present, the energy efficiency of the unit is usually characterized by adopting a nominal working condition coefficient of performance (COP) or an integrated part load coefficient of performance (IPLV) index; whether the nominal working condition performance coefficient or the comprehensive part load performance coefficient is adopted, once the unit is put into production operation, the unit does not have test conditions, because the measurement of the two performance coefficients makes detailed requirements on cold water flow, cooling water flow, cold water temperature, cooling water temperature, evaporator water side dirt coefficient, condenser water side dirt coefficient and the like, the conditions can only be supported under the test conditions, the traditional ratio of accumulated output cold quantity to accumulated electricity consumption is unreasonable as the energy efficiency index of the unit, and the index cannot objectively and effectively evaluate the energy efficiency condition of the unit in operation, so that effective maintenance planning and accurate technical decision cannot be carried out, and the development of energy saving and consumption reduction work of a central air conditioner is not facilitated; the running energy efficiency of the running machine set under different working conditions can provide a guiding effect for upgrading and reforming the machine set, however, the monitoring of the energy efficiency of the machine set under different working conditions is difficult, because the running working conditions of the water chilling unit are changed in the running process, especially the working conditions of the water chilling unit are changed greatly in the starting and stopping processes, so that the energy efficiency is difficult to accurately measure; therefore, how to screen out reasonable and accurate data from a plurality of test data and objectively and accurately measure the operation energy efficiency of the cold and heat source unit becomes a technical problem to be solved in the energy saving and consumption reduction work of the heating ventilation air conditioner.
In the prior art, various methods are provided for monitoring the energy efficiency, but objective measurement of the running energy efficiency by using a maximum likelihood estimation method cannot be realized, such as a method disclosed in a central air conditioning system energy efficiency real-time monitoring system and method (publication number: CN101975673A, publication day: 2011.2.16) of China, wherein the method is just to acquire real-time load data of an air conditioner, compare the load data with the real-time energy consumption data to obtain a real-time CEC value, and acquire the energy efficiency by using the CEC value, but the most reasonable energy efficiency value is difficult to obtain by the method, and no method possibly related to the maximum likelihood estimation method is mentioned in the patent.
Disclosure of Invention
In order to solve the technical problems, the invention provides a host monitoring device and an estimation method for a maximum likelihood estimation method, which process energy efficiency data of a cold and heat source unit by adopting the maximum likelihood estimation method and can monitor the energy efficiency of the cold and heat source unit under different operation conditions so as to achieve the aims of saving energy and reducing consumption of a central air conditioner.
The invention is realized by the following technical scheme.
The invention provides a host monitoring device for a maximum likelihood estimation method, which comprises a cold and heat source unit and an energy efficiency analyzer; the cold and hot source unit is provided with a cold water inlet, a cold water outlet, a cooling water inlet and a cooling water outlet, water pipes are respectively connected to the cold water inlet, the cold water outlet, the cooling water inlet and the cooling water outlet, and temperature sensors are arranged on the water pipes; the energy efficiency analyzer comprises a parameter acquisition module, an electric power monitor and a wiring terminal block, wherein the electric power monitor is in communication connection with the parameter acquisition module, the electric power monitor is connected with the cold and hot source unit through a cable, and the parameter acquisition module and the electric power monitor are both connected with the wiring terminal block; the temperature sensors are connected to the parameter acquisition module through the wiring terminal blocks;
the temperature sensor is used for detecting the temperatures of the cold water inlet, the cold water outlet, the cooling water inlet and the cooling water outlet;
the parameter acquisition module is used for acquiring operation parameters of the cold and hot source unit under different operation conditions, wherein the operation parameters comprise temperatures of cold water inlets, cold water outlets, cooling water inlets and cooling water outlets, and water flow rates of the cold water outlets and the cooling water inlets;
the parameter acquisition module is used for acquiring the operation power consumption of the cold and heat source unit under different operation conditions, and historical energy efficiency is stored in the parameter acquisition module;
the parameter acquisition module is used for analyzing, calculating and counting the operation parameters and the operation power consumption and establishing an energy efficiency distribution table;
the parameter acquisition module can also be used for automatic calibration of cold water inlet, cold water outlet, temperature difference of the cooling water inlet and the cooling water outlet.
The cold and hot source unit comprises an evaporator and a condenser, wherein a cold water inlet and a cold water outlet are arranged on the evaporator, and a cooling water inlet and a cooling water outlet are arranged on the condenser.
The temperature sensor is divided into a cold water inlet temperature sensor, a cold water outlet temperature sensor, a cooling water inlet temperature sensor and a cooling water outlet temperature sensor, wherein the cold water inlet temperature sensor is arranged on a cold water inlet pipeline, the cooling water outlet temperature sensor is arranged on a cold water outlet pipeline, the cooling water inlet temperature sensor is arranged on a cooling water outlet pipeline, and the cooling water outlet temperature sensor is arranged on a cooling water inlet pipeline.
When the cold and heat source unit is a refrigerating unit, a flow sensor I is arranged on a cold water outlet pipeline, and when the cold and heat source unit is a heat recovery unit and a ground source heat pump unit, a flow sensor II is arranged on a cooling water inlet pipeline; the flow sensor I is used for detecting the water flow of the cold water outlet, and the flow sensor II is used for detecting the water flow of the cooling water inlet.
The flow sensor I and the flow sensor II are connected with the parameter acquisition module through the wiring terminal block, and an RS-485 communication interface is adopted.
The energy efficiency analyzer also comprises a touch display screen, and the touch display screen is in communication connection with the parameter acquisition module; the touch display screen is used for displaying the operation parameters of the cold and heat source unit.
The touch display screen and the power monitor are connected to the parameter acquisition module through RS-485 communication.
Based on a maximum likelihood estimation method performed by a host monitoring device for the maximum likelihood estimation method, inputting the maximum likelihood estimation method into a parameter acquisition module, analyzing, calculating and counting operation parameters and operation power consumption by the maximum likelihood estimation method in the parameter acquisition module, and establishing an energy efficiency distribution table, wherein the method comprises the following steps of:
(1) inputting rated heating/cooling capacity of the cold and heat source unit into an energy efficiency analyzer;
(2) the method comprises the steps of collecting operation parameters and operation power consumption of a cold and heat source unit through a parameter collecting module;
(3) calculating the energy efficiency of the cold and heat source unit in the step (2) under the operation working condition by using a parameter acquisition module;
(4) inquiring the historical energy efficiency of the cold and heat source unit in the step (2) through a parameter acquisition module;
(5) performing maximum likelihood algorithm processing on the energy efficiency of the cold and heat source unit in the step (3) and the historical energy efficiency in the step (4) to obtain a reasonable energy efficiency value of the cold and heat source unit, and storing the reasonable energy efficiency value;
(6) repeating the steps (2) - (5), and constructing reasonable energy efficiency values and operation conditions of a plurality of cold and heat source units into a three-dimensional energy efficiency distribution table.
The step (3) is divided into the following steps:
(3.1) calculating heating/cooling capacity of the cold heat source unit by using the operation parameters in the step (2);
(3.2) calculating the load factor of the cold and heat source unit by using the heating/cooling capacity in the step (3.1) and the rated heating/cooling capacity of the cold and heat source unit in the step (2);
(3.3) calculating the temperature difference between the two devices by using the outlet temperature of the cooling water and the outlet temperature of the cooling water in the step (2);
(3.4) calculating the load rate in the step (3.2) and the energy efficiency of the cold and heat source unit under the temperature difference of two devices in the step (3.3) by using the operation power consumption in the step (2) and the heating/cooling capacity of the cold and heat source unit in the step (3.1);
in the step (3), the operation working condition is the temperature difference between two devices when the cold and heat source unit works and the unit load rate;
the temperature difference between the two evaporators is the temperature difference between the condenser and the evaporator when the cold and hot source unit works.
The automatic calibration of the temperature difference between the cold water inlet, the cold water outlet, the cooling water inlet and the cooling water outlet comprises the following steps:
(1) the method comprises the steps of collecting operation parameters and operation power consumption in real time through a parameter collecting module;
(2) detecting whether the current power of the cold and heat source unit is less than 1kW by using a power monitor, if so, executing the step (3), otherwise, jumping to execute the step (1);
(3) detecting whether the water flow of the cold and heat source unit is greater than 10% of the nominal flow by using a flow sensor I and a flow sensor II, if so, executing the step (4), otherwise, jumping to execute the step (1);
(4) starting timing, monitoring the step (2) and the step (3) in real time, and if one condition in the step (2) and the step (3) is not met, timing is emptied, and restarting to execute the step (1);
(5) when the time is 5-10 minutes, judging whether the current cold water inlet/outlet temperature and the current cold water inlet/outlet temperature are equal, and if not, starting a calibration algorithm until the current cold water inlet/outlet temperature and the current cold water inlet/outlet temperature are equal.
The invention has the beneficial effects that: the energy efficiency of the cold and heat source unit, namely the refrigerating unit, the heat recovery unit and the ground source heat pump unit under different operation conditions can be monitored, and the most reasonable energy efficiency value is obtained by using a maximum likelihood estimation method through monitoring the energy efficiency of the cold and heat source unit under different operation conditions, so that decisions and bases are provided for the energy saving and consumption reduction scheme of the subsequent central air conditioner.
Drawings
FIG. 1 is a schematic diagram of the structure of the present invention;
in the figure: the system comprises a 1-cold and heat source unit, a 2-energy efficiency analyzer, a 3-flow sensor I, a 4-cold water inlet temperature sensor, a 5-cold water outlet temperature sensor, a 6-cooling water inlet temperature sensor, a 7-cooling water outlet temperature sensor, an 8-touch display screen, a 9-parameter collecting module, a 10-power monitor, an 11-calculating module and a 12-flow sensor II.
Detailed Description
The technical solution of the present invention is further described below, but the scope of the claimed invention is not limited to the above.
As shown in fig. 1, a host monitoring device for a maximum likelihood estimation method includes a cold and heat source unit 1 and an energy efficiency analyzer 2; the cold and hot source unit 1 is provided with a cold water inlet, a cold water outlet, a cooling water inlet and a cooling water outlet, water pipes are respectively connected to the cold water inlet, the cold water outlet, the cooling water inlet and the cooling water outlet, and temperature sensors are arranged on the water pipes; the energy efficiency analyzer 2 comprises a parameter acquisition module 9, an electric power monitor 10 and a wiring terminal block 11, wherein the electric power monitor 10 is in communication connection with the parameter acquisition module 9, the electric power monitor 10 is connected with the cold and heat source unit 1 through a cable, and the parameter acquisition module 9 and the electric power monitor 10 are both connected with the wiring terminal block 11; the temperature sensors are connected to the parameter acquisition module 9 through wiring terminal 11 rows;
the temperature sensor is used for detecting the temperatures of the cold water inlet, the cold water outlet, the cooling water inlet and the cooling water outlet;
the parameter acquisition module 9 is used for acquiring operation parameters of the cold and heat source unit 1 under different operation conditions, wherein the operation parameters comprise temperatures of cold water inlets, cold water outlets, cooling water inlets and cooling water outlets, and water flows of the cold water outlets and the cooling water inlets;
the parameter acquisition module 9 is used for acquiring the operation power consumption of the cold and heat source unit 1 under different operation conditions, and historical energy efficiency is stored in the parameter acquisition module 9; the historical energy efficiency is a historical energy efficiency sequence corresponding to the cold and heat source unit 1 under the operation working condition;
the parameter acquisition module 9 is used for analyzing, calculating and counting the operation parameters and the operation power consumption and establishing an energy efficiency distribution table;
the parameter acquisition module 9 can also be used for automatic calibration of cold water inlet, cold water outlet, temperature difference of the cooling water inlet and the cooling water outlet.
The cold and hot source unit 1 comprises an evaporator and a condenser, wherein a cold water inlet and a cold water outlet are arranged on the evaporator, and a cooling water inlet and a cooling water outlet are arranged on the condenser.
The temperature sensor is divided into a cold water inlet temperature sensor 4, a cold water outlet temperature sensor 5, a cooling water inlet temperature sensor 6 and a cooling water outlet temperature sensor 7, wherein the cold water inlet temperature sensor 4 is arranged on a cold water inlet pipeline, the cold water outlet temperature sensor 5 is arranged on a cold water outlet pipeline, the cooling water inlet temperature sensor 6 is arranged on a cooling water outlet pipeline, and the cooling water outlet temperature sensor 7 is arranged on a cooling water inlet pipeline.
When the cold and heat source unit 1 is a refrigerating unit, a flow sensor I3 is arranged on a cold water outlet pipeline, and when the cold and heat source unit 1 is a heat recovery unit and a ground source heat pump unit, a flow sensor II 12 is arranged on a cooling water inlet pipeline; the flow sensor I3 is used for detecting the water flow of the cold water outlet, and the flow sensor II 12 is used for detecting the water flow of the cooling water inlet.
The flow sensor I3 and the flow sensor II 12 are connected with the parameter acquisition module 9 through the wiring terminal 11 rows, and an RS-485 communication interface is adopted.
The energy efficiency analyzer 2 further comprises a touch display screen 8, and the touch display screen 8 is in communication connection with a parameter acquisition module 9; the touch display screen 8 is used for displaying operation parameters of the cold and heat source unit 1.
The touch display screen 8 and the power monitor 10 are connected to the parameter acquisition module 9 through RS-485 communication.
Based on a maximum likelihood estimation method performed by a host monitoring device for the maximum likelihood estimation method, inputting the maximum likelihood estimation method into a parameter acquisition module 9, analyzing, calculating and counting operation parameters and operation power consumption by the maximum likelihood estimation method in the parameter acquisition module 9, and establishing an energy efficiency distribution table, comprising the following steps:
(1) the rated heating/cooling capacity of the cold-heat source unit 1 is input into an energy efficiency analyzer 2;
(2) the operation parameters and the operation power consumption of the cold and heat source unit 1 are collected through a parameter collection module 9;
(3) calculating the energy efficiency of the cold and heat source unit 1 in the step (2) under the operation working condition by using a parameter acquisition module 9;
(4) inquiring the historical energy efficiency of the cold and heat source unit 1 in the step (2) through a parameter acquisition module 9;
(5) carrying out maximum likelihood algorithm processing on the energy efficiency of the cold and heat source unit 1 in the step (3) and the historical energy efficiency in the step (4) to obtain a reasonable energy efficiency value of the cold and heat source unit 1, and storing the energy efficiency in the step (3) as the latest historical energy efficiency through a parameter acquisition module 9;
(6) repeating the steps (2) - (5), and constructing reasonable energy efficiency values and operation conditions of a plurality of cold and heat source units 1 into a three-dimensional energy efficiency distribution table; by monitoring the energy efficiency of the cold and heat source unit 1 under different operation conditions, decisions and bases can be provided for the energy saving and consumption reduction scheme of the subsequent central air conditioner.
The step of obtaining the historical energy efficiency in the step (4) is as follows:
(4.1) inputting rated heating/cooling capacity of the cold heat source unit 1 into the energy efficiency analyzer 2;
(4.2) collecting real-time operation parameters and operation power consumption of the cold and heat source unit 1 through a parameter collecting module 9;
(4.3) calculating the energy efficiency of the cold-heat source unit 1 in the step (1) under the operation working condition by using a parameter acquisition module 9;
and (4.4) repeating the steps (4.2) - (4.3), obtaining non-zero energy efficiency (for example, 10-20 latest) of the cold and heat source unit 1 under different operation conditions, forming historical energy efficiency of the cold and heat source unit 1 under different operation conditions, and storing the historical energy efficiency into the parameter acquisition module 9 (at initial time, the historical energy efficiency is all zero).
Further, for example, the energy efficiency of the cold and heat source unit 1 under the current operation condition and the cold and heat source unit under the operation condition in the step (4) are calculated1 form a sequence of values to be observed "X 1 X 2 ……X n And then, respectively observing by taking each item in the numerical value sequence to be observed as an estimated value, searching a group of numerical value sequence subsets by adopting a maximum likelihood estimation method, taking the arithmetic average value of each item in the numerical value sequence subsets as the most reasonable estimated value of the cold and heat source unit 1, and outputting, displaying and storing by the touch display screen 8 to form a historical energy efficiency sequence. Taking the sequence of the values to be observed as X 1 X 2 ……X n "illustrated as follows:
1. by sampling a value X 1 As an estimated value, and is specified at X 1 The + -a% sampling value is reasonable, find the sequence X 1 ……X n In X 1 Numerical values within + -a% range, and counting the number of the numerical values;
2. similarly, respectively take X 2 ……X n As the estimated values, finding out the statistics number corresponding to each estimated value according to the method in 1);
3. finding out the estimated value X with the largest statistics m In the sequence X of the values to be observed 1 ……X n Find out that X is m And (3) carrying out arithmetic average on a plurality of numerical values within the range of +/-a percent, and outputting the numerical values as the energy efficiency estimated value of the most reasonable cold and heat source unit 1.
In practical application, due to the influence of a plurality of factors such as air conditioner end demand variation, climate change and the like, the operation condition of the cold and heat source unit 1 after operation is determined to be continuously changed, and the uncertainty of the operation condition leads to high randomness of the energy efficiency index value measurement of the cold and heat source unit 1; the error value is often introduced in the averaging calculation process by adopting methods such as an average filtering method, a sliding window average filtering method, a limiting average filtering method and the like, and particularly the inaccuracy of the energy efficiency value of the cold and heat source unit 1 obtained when the sampled data quantity is small is more prominent, and the problems can be effectively solved by adopting a maximum likelihood estimation calculation method.
The step (3) is divided into the following steps:
(3.1) calculating the heating/cooling capacity of the cold heat source unit 1 by using the operation parameters in the step (2);
(3.2) calculating the load factor of the cold and heat source unit 1 using the heating/cooling capacity in step (3.1) and the rated heating/cooling capacity of the cold and heat source unit 1 in step (2);
(3.3) calculating the temperature difference between the two devices by using the outlet temperature of the cooling water and the outlet temperature of the cooling water in the step (2); since the condensation temperature and the evaporation temperature of the cold and heat source unit 1 cannot be directly measured, the two-temperature difference=the cooling water outlet temperature-the cold water outlet temperature+the heat exchange temperature difference; the heat exchange temperature difference expresses the difference between the condenser temperature and the cooling water outlet temperature plus the difference between the chilled water outlet temperature and the evaporator temperature;
(3.4) calculating the load rate in the step (3.2) and the energy efficiency of the cold and heat source unit 1 under the temperature difference of two devices in the step (3.3) by using the operation power consumption in the step (2) and the heating/cooling capacity of the cold and heat source unit 1 in the step (3.1);
in the step (3), the operation condition is the temperature difference between two devices when the cold and heat source unit 1 works and the unit load rate;
the temperature difference between the two evaporators is the temperature difference between the condenser and the evaporator when the cold and heat source unit 1 works.
The method is the same as the method for collecting cooling water flow and integrating heat by the heat recovery unit and the ground source heat pump unit.
1) The instantaneous refrigerating capacity of the chiller is obtained by the following formula:
W (t) ＝Q (t) ×ΔT (t) ×ρ×C；
wherein ρ is the cold water density, C is the cold water specific heat, deltaT (T) is the instantaneous cold water inlet/outlet temperature difference, Q (T) is the instantaneous flow, W (t) Is the instantaneous refrigerating capacity of the chiller.
2) The accumulated refrigerating capacity of the water chilling unit in any time period is obtained by the following formula:
wherein W is 1 T-t is the accumulated refrigerating capacity of the water chilling unit in any time period 1 For the time period of time it is possible,W (t) the instantaneous refrigerating capacity of the refrigerator;
when t 1 When=0, the accumulated refrigerating capacity of the chiller is represented, and the average refrigerating capacity of a certain period n (n units are minutes) is calculated by the formula I
Thereby obtaining the load factor +.>
Wherein η is the amount of customized heat/cold;
3) The two-temperature difference (Δt) is calculated from the following formula:
ΔT＝T 1 -T 2 +T 3 ；
wherein: t (T) 1 An average value representing the cooling water outlet temperature during the period; t (T) 2 An average value representing the cold water outlet temperature during the period; t (T) 3 Indicating the heat exchange temperature difference.
4) The power monitor (10) is used for collecting the running power consumption (W) of the water chilling unit in a certain time period (n) 2 ) The refrigerating capacity of the water chilling unit in the period is calculated through a formula I, so that the water chilling unit energy efficiency (COP) in the period is calculated by the following formula:
wherein W is 1 The refrigerating capacity of the water chilling unit in the period is represented; w (W) 2 The power consumption of the water chilling unit in the period is represented; COP represents the energy efficiency of the chiller during this period, with a larger value indicating a more energy efficient and conversely more energy efficient chiller.
Through the calculated delta T and eta, the energy efficiency distribution table is searched, the operation condition of the cold and heat source unit 1 in the time period is judged, the historical energy efficiency data under the condition is taken out, the reasonable energy efficiency value is obtained by processing by a maximum likelihood estimation algorithm, the following table is established, the following table is simulated data, and the simulated data does not represent the actual data of the operation of the actual cold and heat source unit:
the automatic calibration of the temperature difference between the cold water inlet, the cold water outlet, the cooling water inlet and the cooling water outlet is realized by the following functions: in eliminating the measurement error of the temperature sensor and the collection error of the parameter collection module 9 and the power monitor 10, ensure that the relative error of the cold water inlet/outlet and the cooling water inlet/outlet temperature sensor approaches 0 so as to improve the accuracy of the refrigeration/heat measurement of the cold heat source unit 1, the method comprises the following steps:
(1) the parameter acquisition module 9 is used for acquiring the operation parameters and the operation power consumption in real time;
(2) detecting whether the current power of the cold and heat source unit 1 is less than 1kW (judging whether the cold and heat source unit is in a standby state) by using the power monitor 10, if so, executing the step (3), otherwise, jumping to execute the step (1);
(3) detecting whether the water flow of the cold and heat source unit 1 is greater than 10% of the nominal flow (judging whether to run) by using a flow sensor I3 and a flow sensor II 12, if so, executing the step (4), otherwise, jumping to execute the step (1);
(4) starting timing, monitoring the step (2) and the step (3) in real time, and if one condition in the step (2) and the step (3) is not met, timing is emptied, and restarting to execute the step (1);
(5) when the time is 5-10 minutes, judging whether the current cold water inlet/outlet temperature and the current cold water inlet/outlet temperature are equal, and if not, starting a calibration algorithm until the current cold water inlet/outlet temperature and the current cold water inlet/outlet temperature are equal.
The calibration algorithm is as follows:
cold water: adding cold water inlet temperature and cold water temperature deviation, wherein the cold water temperature deviation is the difference between the cold water outlet temperature and the cold water inlet temperature, so as to ensure that the cold water inlet/outlet temperature is equal;
cooling water: the cooling water inlet temperature is added with the cooling temperature deviation, the cooling water temperature deviation is the difference between the cooling water outlet temperature and the cooling water inlet temperature, and the cooling water inlet/outlet temperature is ensured to be equal.
In summary, the invention can monitor the energy efficiency of the cold and heat source units, namely the refrigerating unit, the heat recovery unit and the ground source heat pump unit, so as to achieve the purposes of saving energy and reducing consumption of the central air conditioner, monitor the energy efficiency of the cold and heat source units under different operation conditions, and realize the automatic calibration of the temperature difference of the cold water inlet, the cold water outlet, the cooling water inlet and the cooling water outlet.
Claims (9)
1. The utility model provides a host computer monitoring devices for maximum likelihood estimation method, includes cold and hot source unit (1) and energy efficiency analyzer (2), its characterized in that: the cold and hot source unit (1) is provided with a cold water inlet, a cold water outlet, a cooling water inlet and a cooling water outlet, water pipes are respectively connected to the cold water inlet, the cold water outlet, the cooling water inlet and the cooling water outlet, and temperature sensors are arranged on the water pipes; the energy efficiency analyzer (2) comprises a parameter acquisition module (9), an electric power monitor (10) and a wiring terminal row (11), wherein the electric power monitor (10) is in communication connection with the parameter acquisition module (9), the electric power monitor (10) is connected with the cold and heat source unit (1) through a cable, and the parameter acquisition module (9) and the electric power monitor (10) are both connected with the wiring terminal row (11); the temperature sensors are connected to the parameter acquisition module (9) through the wiring terminal blocks (11);
the temperature sensor is used for detecting the temperatures of the cold water inlet, the cold water outlet, the cooling water inlet and the cooling water outlet;
the parameter acquisition module (9) is used for acquiring the operation parameters of the cold and heat source unit (1) under different operation conditions, wherein the operation parameters comprise the temperatures of cold water inlets, cold water outlets, cooling water inlets and cooling water outlets, and the water flow rates of the cold water outlets and the cooling water inlets;
the parameter acquisition module (9) is used for acquiring the operation power consumption of the cold and heat source unit (1) under different operation conditions, and historical energy efficiency under different operation conditions is stored in the parameter acquisition module (9);
the parameter acquisition module (9) is used for analyzing, calculating and counting the operation parameters and the operation power consumption and establishing an energy efficiency distribution table;
the parameter acquisition module (9) can also be used for automatic calibration of cold water inlet, cold water outlet, temperature difference between the cooling water inlet and the cooling water outlet;
the maximum likelihood estimation method of the device is as follows:
inputting a maximum likelihood estimation method into a parameter acquisition module (9), analyzing, calculating and counting operation parameters and operation power consumption through the maximum likelihood estimation method in the parameter acquisition module (9), and establishing an energy efficiency distribution table, wherein the method comprises the following steps:
(1) the rated heating/cooling capacity of the cold and heat source unit (1) is input into an energy efficiency analyzer (2);
(2) the operation parameters and the operation power consumption of the cold and heat source unit (1) are collected through a parameter collection module (9);
(3) calculating the energy efficiency of the cold and heat source unit (1) in the step (2) under the operation working condition by using a parameter acquisition module (9);
(4) inquiring the historical energy efficiency of the cold and heat source unit (1) under the operation working condition in the step (3) through a parameter acquisition module (9); the parameter acquisition module (9) judges whether the non-zero values in the historical energy efficiency are more than or equal to 3, if so, the step (5) is executed, otherwise, the step (2) is executed in a return mode;
(5) carrying out maximum likelihood algorithm processing on the energy efficiency of the cold and heat source unit (1) in the step (3) and the historical energy efficiency in the step (4), obtaining a reasonable energy efficiency value of the cold and heat source unit (1), and storing the reasonable energy efficiency value;
(6) repeating the steps (2) - (5), and constructing reasonable energy efficiency values and operation conditions of a plurality of cold and heat source units (1) into a three-dimensional energy efficiency distribution table.
2. The host monitoring device for maximum likelihood estimation method of claim 1, wherein: the cold and hot source unit (1) comprises an evaporator and a condenser, wherein a cold water inlet and a cold water outlet are formed in the evaporator, and a cooling water inlet and a cooling water outlet are formed in the condenser.
3. The host monitoring device for maximum likelihood estimation method of claim 1, wherein: the temperature sensor is divided into a cold water inlet temperature sensor (4), a cold water outlet temperature sensor (5), a cooling water inlet temperature sensor (6) and a cooling water outlet temperature sensor (7), wherein the cold water inlet temperature sensor (4) is arranged on a cold water inlet pipeline, the cold water outlet temperature sensor (5) is arranged on a cold water outlet pipeline, the cooling water inlet temperature sensor (6) is arranged on a cooling water outlet pipeline, and the cooling water outlet temperature sensor (7) is arranged on a cooling water inlet pipeline.
4. The host monitoring device for maximum likelihood estimation method of claim 1, wherein: when the cold and heat source unit (1) is a refrigerating unit, a flow sensor I (3) is arranged on a cold water outlet pipeline, and when the cold and heat source unit (1) is a heat recovery unit and a ground source heat pump unit, a flow sensor II (12) is arranged on a cooling water inlet pipeline; the flow sensor I (3) is used for detecting the water flow of the cold water outlet, and the flow sensor II (12) is used for detecting the water flow of the cooling water inlet.
5. The host monitoring device for maximum likelihood estimation method of claim 4, wherein: the flow sensor I (3) and the flow sensor II (12) are connected with the parameter acquisition module (9) through the wiring terminal block (11), and an RS-485 communication interface is adopted.
6. The host monitoring device for maximum likelihood estimation method of claim 1, wherein: the energy efficiency analyzer (2) further comprises a touch display screen (8), and the touch display screen (8) is in communication connection with the parameter acquisition module (9); the touch display screen (8) is used for displaying the operation parameters of the cold and heat source unit (1).
7. The host monitoring device for maximum likelihood estimation method of claim 6, wherein: the touch display screen (8) and the power monitor (10) are connected to the parameter acquisition module (9) through RS-485 communication.
8. The host monitoring device for maximum likelihood estimation method of claim 1, wherein: the step (3) is divided into the following steps:
(3.1) calculating the heating/cooling capacity of the cold-heat source unit (1) by using the operation parameters in the step (2);
(3.2) calculating the load factor of the cold and heat source unit (1) by using the heating/cooling capacity in the step (3.1) and the rated heating/cooling capacity of the cold and heat source unit (1) in the step (2);
(3.3) calculating the temperature difference between the two devices by using the outlet temperature of the cooling water and the outlet temperature of the cooling water in the step (2);
(3.4) calculating the load rate in the step (3.2) and the energy efficiency of the cold and heat source unit (1) under the temperature difference of two devices in the step (3.3) by using the operation power consumption in the step (2) and the heating/cooling capacity of the cold and heat source unit (1) in the step (3.1);
in the step (3), the operation working condition is the temperature difference between two devices when the cold and heat source unit (1) works and the unit load rate;
the temperature difference between the two condensers is the temperature difference between the condenser and the evaporator when the cold and heat source unit (1) works.
9. The host monitoring device for maximum likelihood estimation method of claim 1, wherein: the automatic calibration of the temperature difference between the cold water inlet, the cold water outlet, the cooling water inlet and the cooling water outlet comprises the following steps:
(1) the operation parameters and the operation power consumption are acquired in real time through a parameter acquisition module (9);
(2) detecting whether the current power of the cold and heat source unit (1) is smaller than 1kW by using a power monitor (10), if so, executing the step (3), otherwise, jumping to execute the step (1);
(3) detecting whether the water flow of the cold and heat source unit (1) is greater than 10% of the nominal flow by using a flow sensor I (3) and a flow sensor II (12), if so, executing the step (4), otherwise, jumping to execute the step (1);
(4) starting timing, monitoring the step (2) and the step (3) in real time, and if one condition in the step (2) and the step (3) is not met, timing is emptied, and restarting to execute the step (1);
(5) when the time is 5-10 minutes, judging whether the current cold water inlet/outlet temperature and the current cold water inlet/outlet temperature are equal, and if not, starting a calibration algorithm until the current cold water inlet/outlet temperature and the current cold water inlet/outlet temperature are equal.
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