CN111306695A - Compressor load data optimization method and device, computer equipment and storage medium - Google Patents
Compressor load data optimization method and device, computer equipment and storage medium Download PDFInfo
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- CN111306695A CN111306695A CN201911228052.3A CN201911228052A CN111306695A CN 111306695 A CN111306695 A CN 111306695A CN 201911228052 A CN201911228052 A CN 201911228052A CN 111306695 A CN111306695 A CN 111306695A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
- F24F11/86—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling compressors within refrigeration or heat pump circuits
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/88—Electrical aspects, e.g. circuits
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Abstract
The application relates to a compressor load data optimization method, a compressor load data optimization device, computer equipment and a storage medium. The method comprises the following steps: inputting the cooling water flow parameter, the cooling water temperature parameter, the chilled water flow parameter, the chilled water temperature parameter and preset compressor load data into a water chilling unit calculation model to obtain the estimated chilled water outlet water temperature and the estimated cooling water outlet water temperature; when the error between the estimated chilled water outlet temperature and the preset chilled water outlet temperature or the error between the estimated cooling water outlet temperature and the preset cooling water outlet temperature exceeds a preset range, calculating a deviation value between the estimated chilled water outlet temperature and the preset chilled water outlet temperature; inputting the deviation value and the preset compressor load data into a compressor control model to obtain optimized compressor load data; wherein the optimized compressor load data is used to control compressor operation. The method can improve the accuracy of the compressor load data.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for optimizing compressor load data, a computer device, and a storage medium.
Background
With the increasingly prominent energy problem in China, energy conservation and consumption reduction are imperative. The water chilling unit is determined as a core component of the air conditioning system, the operation state of the water chilling unit directly determines the refrigeration and heating effects of the air conditioner, the load data of the compressor needs to be adjusted according to the temperature set by the operation environment of the air conditioning system in the operation process of the water chilling unit, the optimization of the load data of the compressor can achieve the purposes of energy conservation and emission reduction, and the same environment set temperature is achieved through smaller compressor load.
However, the existing method for optimizing the load data of the compressor of the water chilling unit needs to be debugged in a field environment for installing an air conditioning system, and has the problems of inconvenient operation, more uncontrollable factors and long time consumption, and the load data of the compressor of the water chilling unit obtained by the method is often low in accuracy.
Disclosure of Invention
In view of the above, it is necessary to provide a compressor load data optimization method, apparatus, computer device and storage medium capable of improving the calculation accuracy of compressor load data.
A method of compressor load data optimization, the method comprising:
inputting the cooling water flow parameter, the cooling water temperature parameter, the chilled water flow parameter, the chilled water temperature parameter and preset compressor load data into a water chilling unit calculation model to obtain the estimated chilled water outlet water temperature and the estimated cooling water outlet water temperature;
when the error between the estimated chilled water outlet temperature and the preset chilled water outlet temperature or the error between the estimated cooling water outlet temperature and the preset cooling water outlet temperature exceeds a preset range, calculating a deviation value between the estimated chilled water outlet temperature and the preset chilled water outlet temperature;
inputting the deviation value and the preset compressor load data into a compressor control model to obtain optimized compressor load data; wherein the optimized compressor load data is used to control compressor operation.
In one embodiment, the step of inputting the cooling water flow parameter, the cooling water temperature parameter, the chilled water flow parameter, the chilled water temperature parameter, and preset compressor load data into a chiller calculation model to obtain the estimated chilled water outlet temperature and the estimated cooling water outlet temperature includes: inputting a cooling water flow parameter, a cooling water temperature parameter, a chilled water flow parameter, a chilled water temperature parameter and preset compressor load data into a water chilling unit calculation model; the water chilling unit calculation model calls a compressor model program, an evaporator model program and a condenser model program; and the compressor model program, the evaporator model program and the condenser model program read data in a water chiller group database file and carry out operation by combining the cooling water flow parameter, the cooling water temperature parameter, the chilled water flow parameter, the chilled water temperature parameter and preset compressor load data to obtain the estimated chilled water outlet temperature and the estimated cooling water outlet temperature.
In one embodiment, after the step of inputting the cooling water flow parameter, the cooling water temperature parameter, the chilled water flow parameter, the chilled water temperature parameter, and the preset compressor load data into the chiller calculation model to obtain the estimated chilled water outlet temperature and the estimated cooling water outlet temperature, the method further includes: calculating the error between the estimated chilled water outlet temperature and the preset chilled water outlet temperature and the error between the estimated cooling water outlet temperature and the preset cooling water outlet temperature; and judging whether the error exceeds a preset range.
In one embodiment, after the step of determining whether the error exceeds a preset range, the method includes: and when the error is within a preset range, determining the preset compressor load data as target compressor load data.
In one embodiment, the step of calculating a deviation value between the preset chilled water outlet temperature and the estimated chilled water outlet temperature when an error between the estimated chilled water outlet temperature and a preset chilled water outlet temperature or an error between the estimated cooling water outlet temperature and a preset cooling water outlet temperature exceeds a preset range includes: and when the error between the estimated chilled water outlet temperature and the preset chilled water outlet temperature or the error between the estimated cooling water outlet temperature and the preset cooling water outlet temperature exceeds a preset range, calculating the difference between the estimated chilled water outlet temperature and the preset chilled water outlet temperature to obtain a deviation value.
In one embodiment, the step of inputting the deviation value and preset compressor load data into a compressor control model to obtain optimized compressor load data includes: and inputting the deviation value and preset compressor load data into an increment PID control model to obtain optimized compressor load data, wherein the compressor control model comprises the increment PID control model.
In one embodiment, the method further comprises: when the error between the estimated chilled water outlet water temperature and the preset chilled water outlet water temperature or the error between the estimated chilled water outlet water temperature and the preset chilled water outlet water temperature exceeds a preset range, repeatedly calculating a deviation value between the estimated chilled water outlet water temperature and the preset chilled water outlet water temperature, inputting the deviation value and preset compressor load data into a compressor control model to obtain optimized compressor load data, and inputting the cooling water flow parameter, the cooling water temperature parameter, the chilled water flow parameter, the chilled water temperature parameter and the optimized compressor load data into a estimated chiller unit calculation model to obtain the chilled water outlet water temperature and the cooling water outlet water temperature; and when the error between the estimated chilled water outlet temperature and the preset chilled water outlet temperature and the error between the estimated cooling water outlet temperature and the preset cooling water outlet temperature are both within a preset range, determining the optimized compressor load data as target compressor load data.
A compressor load data optimization apparatus, the apparatus comprising:
the outlet water temperature calculation module is used for inputting a cooling water flow parameter, a cooling water temperature parameter, a chilled water flow parameter, a chilled water temperature parameter and preset compressor load data into the water chilling unit calculation model to obtain the estimated chilled water outlet water temperature and the estimated cooling water outlet water temperature;
the deviation value calculating module is used for calculating a deviation value between the estimated chilled water outlet temperature and the preset chilled water outlet temperature when the error between the estimated chilled water outlet temperature and the preset chilled water outlet temperature or the error between the estimated cooling water outlet temperature and the preset cooling water outlet temperature exceeds a preset range;
the load data calculation module is used for inputting the deviation value and the preset compressor load data into a compressor control model to obtain optimized compressor load data; wherein the optimized compressor load data is used to control compressor operation.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
inputting the cooling water flow parameter, the cooling water temperature parameter, the chilled water flow parameter, the chilled water temperature parameter and preset compressor load data into a water chilling unit calculation model to obtain the estimated chilled water outlet water temperature and the estimated cooling water outlet water temperature;
when the error between the estimated chilled water outlet temperature and the preset chilled water outlet temperature or the error between the estimated cooling water outlet temperature and the preset cooling water outlet temperature exceeds a preset range, calculating a deviation value between the estimated chilled water outlet temperature and the preset chilled water outlet temperature;
inputting the deviation value and the preset compressor load data into a compressor control model to obtain optimized compressor load data; wherein the optimized compressor load data is used to control compressor operation.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
inputting the cooling water flow parameter, the cooling water temperature parameter, the chilled water flow parameter, the chilled water temperature parameter and preset compressor load data into a water chilling unit calculation model to obtain the estimated chilled water outlet water temperature and the estimated cooling water outlet water temperature;
when the error between the estimated chilled water outlet temperature and the preset chilled water outlet temperature or the error between the estimated cooling water outlet temperature and the preset cooling water outlet temperature exceeds a preset range, calculating a deviation value between the estimated chilled water outlet temperature and the preset chilled water outlet temperature;
inputting the deviation value and the preset compressor load data into a compressor control model to obtain optimized compressor load data; wherein the optimized compressor load data is used to control compressor operation.
According to the compressor load data optimization method, the device, the computer equipment and the storage medium, the estimated chilled water outlet temperature and the estimated cooling water outlet temperature are calculated through the cooling water flow parameter, the cooling water temperature parameter, the chilled water flow parameter, the chilled water temperature parameter and the preset compressor load data, and when the error between the estimated chilled water outlet temperature and the estimated cooling water outlet temperature and the preset chilled water outlet temperature and the preset cooling water outlet temperature is not within the preset range, the compressor load data is adjusted according to the estimated deviation value between the chilled water outlet temperature and the preset chilled water outlet temperature, so that the compressor load data can be optimized, an air conditioning unit does not need to be installed on site for debugging, the interference of the site environment is reduced, the time consumption is shorter, and the precision of the compressor load data is improved.
Drawings
FIG. 1 is a schematic flow chart of a method for optimizing compressor load data according to one embodiment;
FIG. 2 is a schematic flow chart of a compressor load data optimization method in another embodiment;
FIG. 3 is a schematic flow chart of a simulation of the operation of a chiller according to another embodiment;
FIG. 4 is a block diagram of an exemplary compressor load data optimization device;
FIG. 5 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In one embodiment, as shown in fig. 1, there is provided a compressor load data optimization method comprising the steps of:
and step S110, inputting the cooling water flow parameter, the cooling water temperature parameter, the chilled water flow parameter, the chilled water temperature parameter and preset compressor load data into a water chilling unit calculation model to obtain the estimated chilled water outlet temperature and the estimated cooling water outlet temperature.
The air conditioning system main unit mainly comprises a compressor, an evaporator, a condenser and a throttling valve, the compressor provides energy, the condenser is used for reducing the temperature of refrigerant (water) coming out of the compressor, the water coming out of the condenser is called cooling water, the cooling water is finally conveyed to a cooling tower, the evaporator is mainly used for absorbing heat through evaporation of the refrigerant (water), the water flowing out of the evaporator is called chilled water, the chilled water is low in temperature after absorbing heat, and the chilled water is blown to the indoor through cold air to play a role in cooling through the air conditioning unit.
The chilled water flow parameter comprises chilled water flow, the chilled water temperature parameter comprises chilled water return water temperature, the cooling water flow parameter comprises cooling water flow, the cooling water temperature parameter comprises cooling water return water temperature, the chilled water return water temperature refers to temperature when an evaporator is input, the cooling water return water temperature refers to temperature when a condenser is input, the chilled water flow refers to flow when the evaporator is input, flow when the cooling water flow is input into the condenser, the chilled water outlet water temperature refers to temperature when output from the evaporator, and the cooling water outlet water temperature refers to temperature when output from the condenser. The water chilling unit calculation model comprises a compressor model program, an evaporator model program and a condenser model program, wherein the compressor model program calculates the volume flow of the compressor according to the volume flow calculation methods of the centrifugal compressor, the screw compressor and the scroll compressor, the evaporator model program calculates the mass flow of the compressor according to the refrigerant outlet parameter of the evaporator, and then calculates the performance parameters (COP and the like) of the compressor according to the evaporation temperature, the condensation temperature, the supercooling degree and the suction superheat degree.
And step S140, when the error between the estimated chilled water outlet temperature and the preset chilled water outlet temperature or the error between the estimated cooling water outlet temperature and the preset cooling water outlet temperature exceeds a preset range, calculating a deviation value between the estimated chilled water outlet temperature and the preset chilled water outlet temperature.
The preset range can be preset, and the error between the estimated chilled water outlet temperature and the preset chilled water outlet temperature and the error between the estimated cooling water outlet temperature and the preset cooling water outlet temperature can use the same preset range or different preset ranges, for example, the preset range of judgment of the two errors is [ -5 degrees, 5 degrees ]; or the preset range of the judgment of the error between the estimated outlet water temperature of the chilled water and the preset outlet water temperature of the chilled water is [ -5 degrees, 5 degrees ], and the preset range of the judgment of the error between the estimated outlet water temperature of the cooling water and the preset outlet water temperature of the cooling water is [ -5 degrees, 0 degrees ]. The deviation value between the estimated chilled water outlet temperature and the preset chilled water outlet temperature can be positive or negative, when the deviation value is positive, the estimated chilled water outlet temperature is high, and compressor load data needs to be reduced, and when the deviation value is negative, the estimated chilled water outlet temperature is low, and compressor load data needs to be increased.
Step S150, inputting the deviation value and the preset compressor load data into a compressor control model to obtain optimized compressor load data; wherein the optimized compressor load data is used to control compressor operation.
And adjusting the preset compressor load data through the deviation value to obtain optimized compressor load data. The compressor control model may be constructed using an incremental PID control method.
According to the compressor load data optimization method, the estimated chilled water outlet water temperature and the estimated cooling water outlet water temperature are calculated through the cooling water flow parameter, the cooling water temperature parameter, the chilled water flow parameter, the chilled water temperature parameter and the preset compressor load data, when the error between the estimated chilled water outlet water temperature and the preset chilled water outlet water temperature or the error between the estimated cooling water outlet water temperature and the preset cooling water outlet water temperature exceeds the preset range, the compressor load data are adjusted according to the estimated deviation value between the chilled water outlet water temperature and the preset chilled water outlet water temperature, optimization of the compressor load data can be achieved, an air conditioning unit does not need to be installed on site for debugging, interference of the site environment is reduced, time consumption is short, and the accuracy of the compressor load data is improved.
In one embodiment, the step S110 includes: inputting a cooling water flow parameter, a cooling water temperature parameter, a chilled water flow parameter, a chilled water temperature parameter and preset compressor load data into a water chilling unit calculation model; the water chilling unit calculation model calls a compressor model program, an evaporator model program and a condenser model program; and the compressor model program, the evaporator model program and the condenser model program read data in a water chiller group database file and carry out operation by combining the cooling water flow parameter, the cooling water temperature parameter, the chilled water flow parameter, the chilled water temperature parameter and preset compressor load data to obtain the estimated chilled water outlet temperature and the estimated cooling water outlet temperature.
The compressor model program, the evaporator model program and the condenser model program are set according to the existing operation control method of the compressor, the evaporator and the condenser. The chiller group database file comprises: and (3) obtaining the cold machine operation parameters of each working condition point through testing, and obtaining coefficients of all calculation formulas through fitting a large number of cold machine operation parameters.
In one embodiment, the step S110 further includes: step S120, calculating the error between the estimated chilled water outlet temperature and the preset chilled water outlet temperature and the error between the estimated cooling water outlet temperature and the preset cooling water outlet temperature; step S130, determining whether the error exceeds a preset range.
In one embodiment, the step S130 is followed by: and when the error is within a preset range, determining the preset compressor load data as target compressor load data.
In one embodiment, the step 140 includes: and when the error between the estimated chilled water outlet temperature and the preset chilled water outlet temperature or the error between the estimated cooling water outlet temperature and the preset cooling water outlet temperature exceeds a preset range, calculating the difference between the estimated chilled water outlet temperature and the preset chilled water outlet temperature to obtain a deviation value.
In one embodiment, the step 150 includes: and inputting the deviation value and preset compressor load data into an increment PID control model to obtain optimized compressor load data, wherein the compressor control model comprises the increment PID control model.
The increment PID control model is established according to an increment PID control algorithm, the increment PID control algorithm is one of mathematic PID control algorithms, the increment PID control algorithm is mainly input through deviation between a measurement signal and a set value, then output of the increment PID control algorithm is input into a controlled object (a compressor) to realize adjustment of parameters of the controlled object, and the controlled object outputs the measurement signal (compressor load data).
The specific formula of the incremental PID control algorithm is as follows:
wherein u [ n ]]To control the output, u [ n-1 ]]For the control output of the preceding control period, KPIs a proportionality coefficient, e [ n ]]For deviation, e [ n-1 ]]Is the deviation of the previous control period, T is the control period, TiAs an integration constant, TdIs a constant of the differential to be a constant,e[n-2]the deviation of the first two control periods.
In one embodiment, the compressor load data optimization method further comprises: when the error between the estimated chilled water outlet water temperature and the preset chilled water outlet water temperature or the error between the estimated chilled water outlet water temperature and the preset chilled water outlet water temperature exceeds a preset range, repeatedly calculating a deviation value between the estimated chilled water outlet water temperature and the preset chilled water outlet water temperature, inputting the deviation value and preset compressor load data into a compressor control model to obtain optimized compressor load data, and inputting the cooling water flow parameter, the cooling water temperature parameter, the chilled water flow parameter, the chilled water temperature parameter and the optimized compressor load data into a estimated chiller unit calculation model to obtain the chilled water outlet water temperature and the cooling water outlet water temperature; and when the error between the estimated chilled water outlet temperature and the preset chilled water outlet temperature and the error between the estimated cooling water outlet temperature and the preset cooling water outlet temperature are both within a preset range, determining the optimized compressor load data as target compressor load data.
According to the embodiment, the accuracy of the compressor load data can be improved by repeatedly optimizing the compressor load data until the estimated chilled water outlet temperature and cooling water outlet temperature and the preset error between the chilled water outlet temperature and the cooling water outlet temperature are within the preset range.
In a specific embodiment, as shown in fig. 3, a water chilling unit operation simulation model is constructed, parameters including chilled water return temperature, chilled water flow and chilled water flow are input at an algorithm inlet of the water chilling unit simulation model, iterative calculation is started after the parameters are input, chilled water outlet temperature and chilled water outlet temperature are set, the input parameters, the set chilled water outlet temperature, the chilled water outlet temperature and compressor load data provided before the iterative calculation is started are input into the water chilling unit calculation model, estimated chilled water outlet temperature and chilled water outlet temperature are calculated, the water chilling unit calculation model calls a compressor model program, an evaporator model program and a condenser model program, the compressor model program, the evaporator model program and the condenser model program read data in a water chilling unit data file and combine preset chilled water return temperature, chilled water flow, chilled water outlet temperature and preset compressor load data to calculate estimated chilled water outlet temperature and chilled water outlet temperature, estimated chilled water outlet temperature and estimated chilled water outlet temperature are output, the estimated chilled water outlet temperature and chilled water outlet temperature deviation value of the chilled water load data and the chilled water load data are calculated, the estimated chilled water outlet temperature and the estimated water outlet temperature and the estimated water temperature and the chilled water temperature of the compressor load data are calculated, and the estimated water temperature of the chilled water temperature of the compressor load data of the compressor are calculated, and the compressor load data are input by the compressor load data, the compressor load data are input into the compressor load of the compressor, the compressor and the compressor load of the compressor and the compressor, the compressor and the chilled water temperature of the compressor load of the compressor and the estimated and the chilled water temperature of the compressor are calculated.
It should be understood that although the various steps in the flow charts of fig. 1-3 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 1-3 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 4, there is provided a compressor load data optimizing apparatus including: an outlet water temperature calculation module 210, a deviation value calculation module 220, and a load data calculation module 230, wherein:
and the outlet water temperature calculation module 210 is used for inputting the cooling water flow parameter, the cooling water temperature parameter, the chilled water flow parameter, the chilled water temperature parameter and preset compressor load data into the water chilling unit calculation model to obtain the estimated chilled water outlet water temperature and the estimated cooling water outlet water temperature.
And the deviation value calculating module 220 is configured to calculate a deviation value between the estimated chilled water outlet temperature and the preset chilled water outlet temperature when an error between the estimated chilled water outlet temperature and the preset chilled water outlet temperature or an error between the estimated cooling water outlet temperature and the preset cooling water outlet temperature exceeds a preset range.
A load data calculation module 230, configured to input the deviation value and the preset compressor load data into a compressor control model, so as to obtain optimized compressor load data; wherein the optimized compressor load data is used to control compressor operation.
In one embodiment, the outlet water temperature calculation module 210 includes: the input unit is used for inputting a cooling water flow parameter, a cooling water temperature parameter, a chilled water flow parameter, a chilled water temperature parameter and preset compressor load data into the water chilling unit calculation model; the calling unit is used for calling a compressor model program, an evaporator model program and a condenser model program by the water chilling unit calculation model; and the outlet water temperature calculation unit is used for reading data in a water chiller group database file by the compressor model program, the evaporator model program and the condenser model program and calculating by combining the cooling water flow parameter, the cooling water temperature parameter, the chilled water flow parameter, the chilled water temperature parameter and preset compressor load data to obtain the estimated chilled water outlet water temperature and the estimated cooling water outlet water temperature.
In one embodiment, the compressor load data optimizing apparatus includes: the error calculation module is used for calculating the error between the estimated chilled water outlet water temperature and the preset chilled water outlet water temperature and the error between the estimated cooling water outlet water temperature and the preset cooling water outlet water temperature; and the judging module is used for judging whether the error exceeds a preset range.
In one embodiment, the compressor load data optimizing apparatus includes: and the target compressor load data determining module is used for determining the preset compressor load data as the target compressor load data when the error is within a preset range.
In one embodiment, the deviation calculating module 220 is further configured to calculate a difference between the estimated chilled water outlet temperature and the preset chilled water outlet temperature to obtain the deviation value when an error between the estimated chilled water outlet temperature and a preset chilled water outlet temperature or an error between the estimated cooling water outlet temperature and a preset cooling water outlet temperature exceeds a preset range.
In one embodiment, the load data calculating module 230 is further configured to input the deviation value and preset compressor load data into an incremental PID control model, so as to obtain optimized compressor load data, where the compressor control model includes the incremental PID control model.
For specific limitations of the compressor load data optimization device, reference may be made to the above limitations of the compressor load data optimization method, which are not described in detail herein. The respective modules in the above-described compressor load data optimizing apparatus may be implemented in whole or in part by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 5. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used to store the cold water bank data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a compressor load data optimization method.
Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
inputting the cooling water flow parameter, the cooling water temperature parameter, the chilled water flow parameter, the chilled water temperature parameter and preset compressor load data into a water chilling unit calculation model to obtain the estimated chilled water outlet water temperature and the estimated cooling water outlet water temperature;
when the error between the estimated chilled water outlet temperature and the preset chilled water outlet temperature or the error between the estimated cooling water outlet temperature and the preset cooling water outlet temperature exceeds a preset range, calculating a deviation value between the estimated chilled water outlet temperature and the preset chilled water outlet temperature;
inputting the deviation value and the preset compressor load data into a compressor control model to obtain optimized compressor load data; wherein the optimized compressor load data is used to control compressor operation.
In one embodiment, the processor, when executing the computer program, further performs the steps of: calculating the error between the estimated chilled water outlet temperature and the preset chilled water outlet temperature and the error between the estimated cooling water outlet temperature and the preset cooling water outlet temperature; and judging whether the error exceeds a preset range.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and when the error is within a preset range, determining the preset compressor load data as target compressor load data.
In one embodiment, the processor, when executing the computer program, further performs the steps of: when the error between the estimated chilled water outlet water temperature and the preset chilled water outlet water temperature or the error between the estimated chilled water outlet water temperature and the preset chilled water outlet water temperature exceeds a preset range, repeatedly calculating a deviation value between the estimated chilled water outlet water temperature and the preset chilled water outlet water temperature, inputting the deviation value and preset compressor load data into a compressor control model to obtain optimized compressor load data, and inputting the cooling water flow parameter, the cooling water temperature parameter, the chilled water flow parameter, the chilled water temperature parameter and the optimized compressor load data into a estimated chiller unit calculation model to obtain the chilled water outlet water temperature and the cooling water outlet water temperature; and when the error between the estimated chilled water outlet temperature and the preset chilled water outlet temperature and the error between the estimated cooling water outlet temperature and the preset cooling water outlet temperature are both within a preset range, determining the optimized compressor load data as target compressor load data.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
inputting the cooling water flow parameter, the cooling water temperature parameter, the chilled water flow parameter, the chilled water temperature parameter and preset compressor load data into a water chilling unit calculation model to obtain the estimated chilled water outlet water temperature and the estimated cooling water outlet water temperature;
when the error between the estimated chilled water outlet temperature and the preset chilled water outlet temperature or the error between the estimated cooling water outlet temperature and the preset cooling water outlet temperature exceeds a preset range, calculating a deviation value between the estimated chilled water outlet temperature and the preset chilled water outlet temperature;
inputting the deviation value and the preset compressor load data into a compressor control model to obtain optimized compressor load data; wherein the optimized compressor load data is used to control compressor operation.
In one embodiment, the computer program when executed by the processor further performs the steps of: calculating the error between the estimated chilled water outlet temperature and the preset chilled water outlet temperature and the error between the estimated cooling water outlet temperature and the preset cooling water outlet temperature; and judging whether the error exceeds a preset range.
In one embodiment, the computer program when executed by the processor further performs the steps of: and when the error is within a preset range, determining the preset compressor load data as target compressor load data.
In one embodiment, the computer program when executed by the processor further performs the steps of: when the error between the estimated chilled water outlet water temperature and the preset chilled water outlet water temperature or the error between the estimated chilled water outlet water temperature and the preset chilled water outlet water temperature exceeds a preset range, repeatedly calculating a deviation value between the estimated chilled water outlet water temperature and the preset chilled water outlet water temperature, inputting the deviation value and preset compressor load data into a compressor control model to obtain optimized compressor load data, and inputting the cooling water flow parameter, the cooling water temperature parameter, the chilled water flow parameter, the chilled water temperature parameter and the optimized compressor load data into a estimated chiller unit calculation model to obtain the chilled water outlet water temperature and the cooling water outlet water temperature; and when the error between the estimated chilled water outlet temperature and the preset chilled water outlet temperature and the error between the estimated cooling water outlet temperature and the preset cooling water outlet temperature are both within a preset range, determining the optimized compressor load data as target compressor load data.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method of optimizing compressor load data, the method comprising:
inputting the cooling water flow parameter, the cooling water temperature parameter, the chilled water flow parameter, the chilled water temperature parameter and preset compressor load data into a water chilling unit calculation model to obtain the estimated chilled water outlet water temperature and the estimated cooling water outlet water temperature;
when the error between the estimated chilled water outlet temperature and the preset chilled water outlet temperature or the error between the estimated cooling water outlet temperature and the preset cooling water outlet temperature exceeds a preset range, calculating a deviation value between the estimated chilled water outlet temperature and the preset chilled water outlet temperature;
inputting the deviation value and the preset compressor load data into a compressor control model to obtain optimized compressor load data; wherein the optimized compressor load data is used to control compressor operation.
2. The method of claim 1, wherein the step of inputting the cooling water flow parameter, the cooling water temperature parameter, the chilled water flow parameter, the chilled water temperature parameter, and the preset compressor load data into a chiller calculation model to obtain the estimated chilled water outlet temperature and the estimated cooling water outlet temperature comprises:
inputting a cooling water flow parameter, a cooling water temperature parameter, a chilled water flow parameter, a chilled water temperature parameter and preset compressor load data into a water chilling unit calculation model;
the water chilling unit calculation model calls a compressor model program, an evaporator model program and a condenser model program;
and the compressor model program, the evaporator model program and the condenser model program read data in a water chiller group database file and carry out operation by combining the cooling water flow parameter, the cooling water temperature parameter, the chilled water flow parameter, the chilled water temperature parameter and preset compressor load data to obtain the estimated chilled water outlet temperature and the estimated cooling water outlet temperature.
3. The method of claim 1, wherein after the step of inputting the cooling water flow parameter, the cooling water temperature parameter, the chilled water flow parameter, the chilled water temperature parameter, and the preset compressor load data into the chiller calculation model to obtain the estimated chilled water outlet temperature and the estimated cooling water outlet temperature, the method further comprises:
calculating the error between the estimated chilled water outlet temperature and the preset chilled water outlet temperature and the error between the estimated cooling water outlet temperature and the preset cooling water outlet temperature;
and judging whether the error exceeds a preset range.
4. The method of claim 3, wherein after the step of determining whether the error exceeds a predetermined range, the method comprises:
and when the error is within a preset range, determining the preset compressor load data as target compressor load data.
5. The method of claim 1, wherein the step of calculating the deviation between the pre-determined chilled water outlet temperature and the pre-determined chilled water outlet temperature when the error between the pre-determined chilled water outlet temperature and the pre-determined chilled water outlet temperature or the error between the pre-determined chilled water outlet temperature and the pre-determined chilled water outlet temperature exceeds a pre-determined range comprises:
and when the error between the estimated chilled water outlet temperature and the preset chilled water outlet temperature or the error between the estimated cooling water outlet temperature and the preset cooling water outlet temperature exceeds a preset range, calculating the difference between the estimated chilled water outlet temperature and the preset chilled water outlet temperature to obtain a deviation value.
6. The method of claim 1, wherein inputting the deviation value and preset compressor load data into a compressor control model, the obtaining optimized compressor load data step comprises:
and inputting the deviation value and preset compressor load data into an increment PID control model to obtain optimized compressor load data, wherein the compressor control model comprises the increment PID control model.
7. The method of claim 1, further comprising:
when the error between the estimated chilled water outlet water temperature and the preset chilled water outlet water temperature or the error between the estimated chilled water outlet water temperature and the preset chilled water outlet water temperature exceeds a preset range, repeatedly calculating a deviation value between the estimated chilled water outlet water temperature and the preset chilled water outlet water temperature, inputting the deviation value and preset compressor load data into a compressor control model to obtain optimized compressor load data, and inputting the cooling water flow parameter, the cooling water temperature parameter, the chilled water flow parameter, the chilled water temperature parameter and the optimized compressor load data into a estimated chiller unit calculation model to obtain the chilled water outlet water temperature and the cooling water outlet water temperature;
and when the error between the estimated chilled water outlet temperature and the preset chilled water outlet temperature and the error between the estimated cooling water outlet temperature and the preset cooling water outlet temperature are both within a preset range, determining the optimized compressor load data as target compressor load data.
8. A compressor load data optimization apparatus, comprising:
the outlet water temperature calculation module is used for inputting a cooling water flow parameter, a cooling water temperature parameter, a chilled water flow parameter, a chilled water temperature parameter and preset compressor load data into the water chilling unit calculation model to obtain the estimated chilled water outlet water temperature and the estimated cooling water outlet water temperature;
the deviation value calculating module is used for calculating a deviation value between the estimated chilled water outlet temperature and the preset chilled water outlet temperature when the error between the estimated chilled water outlet temperature and the preset chilled water outlet temperature or the error between the estimated cooling water outlet temperature and the preset cooling water outlet temperature exceeds a preset range;
the load data calculation module is used for inputting the deviation value and the preset compressor load data into a compressor control model to obtain optimized compressor load data; wherein the optimized compressor load data is used to control compressor operation.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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