Comfortable air conditioning chilled water system operation regulation method and system based on terminal big data

By using a control method for air conditioning chilled water systems based on big data from the terminal, the problems of inaccurate load prediction and lag in supply and return water temperatures in central air conditioning chilled water systems have been solved, achieving efficient operation of chiller units and improving energy saving and carbon reduction effects.

CN120650812BActive Publication Date: 2026-08-25CMCU ENG
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Patent Information

Application Number
CN202511056808.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-07-30
Publication Date
2026-08-25
Estimated Expiration
2045-07-30

AI Technical Summary

Technical Problem

The load forecasting accuracy of existing central air conditioning chilled water systems is not high, and the changes in supply and return water temperatures lag behind the changes in terminal loads, resulting in limited energy-saving operation and control effects.

Method used

The method for operation and control of comfort air conditioning chilled water systems based on terminal big data pre-enters basic system information, performs pre-analysis and processing, determines the high-efficiency operating section of the chiller unit, and combines real-time monitoring parameters to perform load calculation and unit status control, thereby achieving efficient operation of the chiller unit.

Benefits of technology

It improves the accuracy of load calculation and control response speed of the chilled water system, ensures timely supply of cooling capacity to meet the needs of air conditioning terminal equipment, reduces the operating energy consumption of the chiller unit, and significantly improves the energy saving and carbon reduction effect.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to a kind of comfort air conditioning chilled water system operation regulation method and system based on end big data, belong to energy-saving and carbon reduction technical field.The method includes basic information collection and entry, basic information processing and entry, operating parameter monitoring, operating load calculation, chilled water system operation regulation and other steps.Operating load calculation takes the operation big data of air conditioning terminal equipment, the basic parameters of air conditioning terminal equipment use room as basic data, is divided into precooling stage calculation, operation stage calculation, can be corrected according to chilled water system operation data, high accuracy;With the minimum total energy consumption of chilled water system as target, the high-efficiency operation section and determination standard of each operation combination of water chiller are clear, to ensure efficient operation;Intelligent centralized controller includes storage module, calculation module, control module, display module.The present application has clear theoretical significance, regulation response is fast, engineering adaptability is strong, can realize the efficient energy-saving operation of comfort air conditioning chilled water system.
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Description

Technical Field

[0001] This invention belongs to the field of energy conservation and carbon reduction technology, and relates to a method and system for the operation and control of a comfort air conditioning chilled water system based on big data at the terminal. Background Technology

[0002] Energy conservation and carbon reduction have become a nationwide conscious action. Currently, various industries are actively taking effective measures to improve the efficiency of energy resource utilization. The construction sector is one of the three major energy-consuming sectors in my country and also a significant source of carbon emissions, characterized by high energy consumption and heavy carbon emissions.

[0003] Central air conditioning systems account for a significant portion of total building energy consumption. Industry statistics show that, nationwide, central air conditioning systems contribute 17.5% to 22.75% of total energy consumption. In public buildings, centralized air conditioning systems account for 30% to 60% of total building energy consumption, with the cooling source portion (main unit + chilled water pump + cooling water pump + cooling tower) consuming 60% to 90% of the total energy consumption of centralized air conditioning systems. Taking measures to reduce the energy consumption of central air conditioning chilled water systems is of great significance for achieving overall building energy conservation and carbon reduction goals, improving the comprehensive energy utilization efficiency in the building sector, and protecting the environment.

[0004] From a technical perspective, many industry experts have conducted extensive research and exploration into the energy-saving operation and control of central air conditioning chilled water systems, achieving certain results. The technical solutions adopted are primarily based on project load forecast data, chilled water system supply and return water temperature and flow monitoring data, and are controlled with the principle of reducing the number of operating chiller units. This is complemented by chilled water system supply and return water pressure differential monitoring to adjust the operating frequency of chilled water pumps. Currently, the technical solutions adopted by the industry have a certain degree of scientific validity, but also have certain shortcomings. For example, the accuracy of load forecasting is not high compared to the actual operating conditions of the project, and changes in supply and return water temperature lag significantly behind changes in terminal load. If these shortcomings can be overcome or avoided, the energy-saving operation and control effect of chilled water systems can be further improved.

[0005] Furthermore, with the rapid development of electronic technology, information technology, and computer science and technology, the production cost of automatic control system devices such as sensors and intelligent controllers is decreasing day by day, and their application in various fields is becoming more extensive and in-depth. This provides new technical options for energy-saving operation and control measures of central air conditioning chilled water systems. Summary of the Invention

[0006] In view of this, the purpose of this invention is to provide a method and system for the operation and control of a comfort air conditioning chilled water system based on big data at the terminal. With the goal of minimizing the total energy consumption of the chilled water system, the method clarifies the high-efficiency operating sections and judgment criteria for each operating combination of the chiller unit, which can ensure that the chiller unit always operates efficiently with low energy consumption and significant energy saving and carbon reduction effects.

[0007] To achieve the above objectives, the present invention provides the following technical solution:

[0008] A method for regulating the operation of a comfort air conditioning chilled water system based on big data from the terminal, the method comprising:

[0009] S1. Pre-enter the basic information of the air conditioning chilled water system, including at least the basic information of the project, information of the air-conditioned rooms, information of the air-conditioned terminal equipment, information of the chiller unit, and information of the chilled water pump;

[0010] S2. Perform pre-analysis and processing on the basic information of the air conditioning chilled water system that has been entered;

[0011] S3. Symbolically represent the cooling capacity of the chiller unit and key operating points, and determine the chiller operating combination; at the same time, divide the cooling capacity range of the high-efficiency operating zone;

[0012] S4. Calculate the load for the pre-cooling stage based on the basic information from the preprocessing and the real-time monitoring and operating parameters.

[0013] S5. Perform pre-cooling stage chilled water system regulation and control the operation status of chiller units or chiller combinations based on the comparison between the project's pre-cooling load and the cooling capacity at key operating points.

[0014] S6. Confirm whether to enter the operation phase. If not, return to step S4 to cycle through the pre-cooling phase. If yes, proceed to step S7 to start the operation phase.

[0015] S7. Calculate the load during the operation phase based on the preprocessed basic information and the real-time acquired monitoring and operation parameters;

[0016] S8. Based on the pre-cooling stage, the chilled water system is regulated in the operation stage. The operating status of the chiller units in the adjacent high-efficiency operating zones is controlled according to the comparison between the real-time load in the operation stage and the cooling capacity of the current high-efficiency operating zone and the adjacent high-efficiency operating zones on the left and right sides. The operation stage is cyclical until the end.

[0017] Furthermore, in step S1, the terminal equipment of the air conditioning chilled water system includes four types of equipment: fan coil units, fresh air air conditioning units, return air air conditioning units, and fresh and return air mixed air conditioning units.

[0018] Basic project information, air-conditioned room information, air-conditioning terminal equipment information, chiller unit information, and chilled water pump information were collected by reviewing architectural design drawings, HVAC design drawings, air conditioning load calculation sheets, equipment parameter data, and through on-site testing and communication.

[0019] The collected basic information is stored in the storage module of the intelligent centralized controller used to control the air conditioning chilled water system.

[0020] Furthermore, in step S2, the preprocessing of basic information includes at least: numbering the air-conditioned rooms and calculating their area and space; numbering the air-conditioned terminal equipment; establishing the correspondence between the air-conditioned rooms and the air-conditioned terminal equipment; calculating the building envelope load of the air-conditioned rooms under design conditions; calculating the relationship between the outdoor comprehensive temperature of the air conditioning system in summer under design conditions and the load rate and performance coefficient of the chiller unit; and calculating the air enthalpy value based on the dry-bulb temperature and relative humidity.

[0021] Furthermore, in step S3, the chiller unit configuration is modeled as an "N+1" configuration model, that is, N large-scale chiller units are paired with 1 small-scale chiller unit. The small-scale chiller unit is named Type A chiller unit, and the large-scale chiller unit is named Type B chiller unit. The minimum allowable starting cooling capacity of the chiller units is named Q. Amin Q Bmin The limited cooling capacity under the high-efficiency operating range is named Q. Aex Q Bex The upper limit of the cooling capacity in the high-efficiency operating range is named Q. Aes Q Bes The maximum cooling capacity is named Q. Amax Q Bmax ;

[0022] Enter the naming information of the cooling capacity code of the chiller unit and key operating points into the storage module of the intelligent centralized controller;

[0023] The possible chiller unit combinations during operation are named A, B, A+B, 2B, A+2B, 3B...A+(N-1)B, NB, A+NB in ​​ascending order of cooling capacity. The high-efficiency operating range of each combination is Q. Aex ~Q Aes Q Bex ~Q Bes Q Aex +Q Bex ~Q Aes +Q Bes 2Q Bex ~2Q Bes Q Aex +2Q Bex ~Q Aes +2Q Bes 3Q Bex ~3Q Bes ...Q Aex +(N-1)Q Bex ~NQ Bes Q Aex +NQ Bex ~Q Aes +NQ BesThe load distribution among the chillers in each combination is proportional based on the principle that all chillers are in their high-efficiency zone. Each chiller adjusts its cooling capacity according to the assigned load. If there is overlap in the high-efficiency operating zone cooling capacity between adjacent combinations, the combination with the highest performance coefficient is assigned based on the performance coefficient of the chillers in the overlapping zone, and the overlapping zone is removed from the high-efficiency operating zone of other combinations. The load rate of the chillers is calculated based on the assigned load, and then the performance coefficient of the chillers is calculated based on the fitting relationship between the load rate and the performance coefficient.

[0024] Enter the operating combination code name and the information on the division of cooling capacity sections in the high-efficiency operating zone into the storage module of the intelligent centralized controller.

[0025] Furthermore, the methods for acquiring real-time monitoring and operating parameters include direct monitoring by sensors and extraction from field controllers.

[0026] The monitoring and operation parameters obtained directly through sensors include: outdoor meteorological parameters, including temperature, humidity, and solar radiation; chilled water system parameters, including supply water temperature, return water temperature, and operating flow rate; chiller unit operation parameters, including cumulative operating time, start-stop status, cooling capacity, and load rate; and chilled water pump operation parameters, including cumulative operating time, start-stop status, and operating frequency.

[0027] The monitoring and operating parameters extracted from the field controller include: fan coil unit operating parameters, including inlet air temperature and humidity, fan start / stop status and operating speed, and electric water valve on / off status; fresh air air conditioning unit operating parameters, including outlet air temperature and humidity, fan start / stop status and operating frequency, and electric water valve on / off status; return air air conditioning unit operating parameters, including inlet air temperature and humidity, outlet air temperature and humidity, fan start / stop status and operating frequency, and electric water valve on / off status; and fresh / return air mixed air conditioning unit operating parameters, including inlet air temperature and humidity, outlet air temperature and humidity, fan start / stop status and operating frequency, and electric water valve on / off status.

[0028] Furthermore, in step S4, the fresh air system is not activated during the pre-cooling stage. The cooling load during the pre-cooling stage only includes the building envelope load and the infiltration air volume load. The calculation method for each type of load is as follows:

[0029] Envelope load:

[0030]

[0031]

[0032] In the formula, Q wyi The load on the building envelope during the pre-cooling stage of room i; t zy Calculate the overall outdoor temperature in real time; tyi The pre-cooling temperature of room i; t zs The outdoor comprehensive temperature under design conditions; t su The design temperature for room i; Q wsi The load on the building envelope under the design conditions for room i; t sh ρ represents the real-time outdoor temperature; ρ is the absorption coefficient of solar radiation heat on the outer surface of the building envelope; α w J is the heat transfer coefficient of the outer surface of the building envelope; sh Solar irradiance;

[0033] Infiltration air volume load:

[0034]

[0035] L sti =V i ×n i

[0036] In the formula, Q sti L is the infiltration airflow load during the pre-cooling stage of room i. sti The infiltration air volume during the pre-cooling stage of room i; ρ air h represents air density. sh The real-time enthalpy value of outdoor air; h yi V represents the enthalpy of indoor air during the pre-cooling stage of room i. i Let n be the volume of room i; i The number of infiltration air exchanges during the pre-cooling stage of room i;

[0037] The pre-cooling load for the project during the pre-cooling phase is:

[0038]

[0039] In the formula, Q y The pre-cooling load for the project is calculated by summing the pre-cooling loads of each room and multiplying by a correction factor, where N is the total number of rooms; K y The precooling load correction factor for the project is set to 1 during the first operating cycle of the air conditioning system, and the value is set according to the overall deviation between the measured value of the chilled water system return water temperature and the design value of the return water temperature monitored in the operating cycles that have occurred.

[0040] Furthermore, in step S5, the start-up and control process of the chilled water system during the precooling stage is as follows:

[0041] The project's pre-cooling load Q y As the starting load for the precooling stage, no addition or reduction of the compressor is performed during the entire precooling stage operation.

[0042] When Q y Amin ​At that time, the chiller unit will not be started, and the project will not undergo pre-cooling;

[0043] When Q Amin ≤Q y Aex At that time, chiller unit A was started to pre-cool the project;

[0044] When Q Aex ≤Q y When, then according to Q y Determine the chiller unit combination based on the high-efficiency operating zone and cooling capacity range, and start the corresponding chiller units for pre-cooling;

[0045] Based on the chiller unit to be started, determine the start-up of the corresponding chilled water pump, and based on the load rate of the chiller unit, determine the operating frequency of the chilled water pump motor. When the determined operating frequency is lower than the lower limit frequency of the chilled water pump, the chilled water pump will start running at the lower limit frequency.

[0046] Furthermore, in step S7, the cooling load during the operation phase includes the operating loads of fan coil units, fresh air handling units, return air handling units, and fresh / return air hybrid handling units, and their load calculation methods are as follows:

[0047] Fan coil unit operating load:

[0048]

[0049] In the formula, Q frj For the operating load of fan coil unit j; L fyj For the operating air of fan coil unit j; L fyj h is the design air volume of fan coil unit j; frj h is the enthalpy of air at the inlet air state point of the fan coil unit j; sb The enthalpy of air at 100% relative humidity under the design supply temperature for chilled water; h fsj Q represents the enthalpy value corresponding to the temperature and humidity of the inlet air at the state point under the design operating conditions of the fan coil unit. fsj The cooling capacity of fan coil unit j under design conditions;

[0050] Operating load of fresh air conditioning unit:

[0051]

[0052] In the formula, Q xhrj For the operating load of the new return air air conditioning unit j; L xhsj ρ is the design air volume of the new return air conditioning unit j; air "50" represents the air density, and "50" represents the rated operating frequency of the fan; F xhj h is the actual operating frequency of the return air conditioning unit's fan. xhjj ​h is the inlet enthalpy of the new return air conditioning unit j; xhcj The enthalpy value of the air outlet of the new return air conditioning unit j;

[0053] Calculation of operating load for return air conditioning unit:

[0054]

[0055] In the formula, Q hrj For the operating load of return air conditioning unit j; L hsj F is the design air volume for the return air conditioning unit j; hj h is the actual operating frequency of the return air conditioning unit's fan. hjj The enthalpy of the incoming air for the return air conditioning unit j is calculated based on the real-time monitored incoming air dry-bulb temperature and relative humidity; h hcj The enthalpy of the return air conditioning unit j is calculated based on the real-time monitored dry-bulb temperature and relative humidity of the outlet air.

[0056] Calculation of operating load for fresh air and return air hybrid air conditioning unit:

[0057]

[0058] In the formula, Q xhrj For the operating load of the new return air air conditioning unit j; L xhsj The design air volume for the new return air conditioning unit j; F xhj h is the actual operating frequency of the return air conditioning unit's fan. xhjj The inlet enthalpy of the fresh return air air conditioning unit j is calculated based on the real-time monitored inlet dry-bulb temperature and relative humidity; h xhcj The enthalpy of the air outlet of the new return air conditioning unit j is calculated based on the real-time monitored dry-bulb temperature and relative humidity of the air outlet.

[0059] The project's operational load during the operation phase is:

[0060]

[0061] In the formula, Q r The load during the project's operational phase is calculated by summing the operating loads of all air conditioning terminal devices in operation. The calculated operating load is only included in the statistics when both the fans and electric water valves of the air conditioning terminal devices are open; K r This is the load correction factor for the project operation phase. It is set to 1 during the first operating cycle of the air conditioning system, and the value is set for the remaining operating cycles based on the overall deviation between the measured value of the chilled water system return water temperature and the design value of the return water temperature monitored during the operating cycles that have occurred.

[0062] Furthermore, in step S8, the operation and control process of the chilled water system during the operation phase is as follows:

[0063] The operation of the chilled water system during the operational phase is based on the existing operation during the precooling phase, and is based on the real-time load Q during the operational phase. r As a criterion for judging the addition or subtraction of chiller units;

[0064] Calculate the real-time load Q during the project operation phase r ;

[0065] When Q r If the current operating chiller unit combination reaches the upper limit of its high-efficiency operating range, then determine Q. r If the value is greater than or equal to the lower limit of the high-efficiency operating range of the adjacent combination to the right, and the judgment is true, then the unit configuration is adjusted according to the unit configuration of the adjacent combination. If the judgment is false, then the current combination operation is maintained until Q. r ≥ Lower limit of the efficient operating zone of adjacent combinations on the right or Q r If the sum of the maximum cooling capacity of all operating chiller units is greater than or equal to the sum of the maximum cooling capacity of all chiller units, then the unit adjustment will be made according to the adjacent combination on the right.

[0066] When Q r If the current operating chiller unit combination is at the lower limit of its high-efficiency operating range, then determine Q. r If the value is less than or equal to the upper limit of the high-efficiency operating zone of the adjacent combination to the left, and the condition is met, then the unit configuration of the adjacent combination will be adjusted. If the condition is not met, then the current combination will remain in operation until Q. r If the load on any one of the chiller units in operation is less than or equal to the upper limit of the high-efficiency operating zone of the adjacent combination on the left, or less than or equal to the minimum allowable starting cooling capacity under the preset multiple, then the unit adjustment shall be made according to the adjacent combination on the left.

[0067] During the operation phase, if the precooling phase is not started, the operating load at the start of the operation phase is used as the starting load, and the chiller unit is started according to the method in step S6.

[0068] When adding a Type B chiller unit, prioritize adding the Type B chiller unit with the shortest cumulative operating time;

[0069] When reducing the number of Type B chillers, prioritize reducing the Type B chiller with the longest cumulative operating time.

[0070] The single operation time of each chiller unit shall not be less than the specified minimum duration;

[0071] Adjust the start and stop of the corresponding chilled water pumps according to the start and stop requirements of the chiller unit. Determine the operating frequency of the corresponding chilled water pump motor according to the load rate of the chiller unit. When the determined operating frequency is lower than the lower limit frequency of the chilled water pump, the chilled water pump will start running at the lower limit frequency.

[0072] On the other hand, a system for implementing the aforementioned method for regulating the operation of a comfort air conditioning chilled water system based on terminal big data is also proposed. This system includes: the air conditioning chilled water system itself and an intelligent centralized controller. The intelligent centralized controller is connected via a communication bus to various sensors of the air conditioning chilled water system, field controllers of air conditioning terminal equipment, chiller units, chilled water pumps, cooling systems, cooling water pumps, and electric valves. The intelligent centralized controller includes a storage module, a computing module, a control module, and a display module.

[0073] The storage module is used to store basic information about the air conditioning chilled water system, including at least basic project information, air-conditioned room information, air-conditioned terminal equipment information, chiller unit information, and chilled water pump information;

[0074] The calculation module performs pre-analysis and processing on the basic information of the air conditioning chilled water system in the storage module; it also symbolically represents the cooling capacity of the chiller unit and key operating points, and determines the chiller operating combination; at the same time, it divides the cooling capacity segment of the high-efficiency operating zone, and stores the processed information back into the storage module;

[0075] The calculation module acquires the monitoring and operation parameters of the air conditioning chilled water system in real time, and performs project load calculations for the pre-cooling and operation stages based on the pre-processed basic information and the real-time acquired monitoring and operation parameters.

[0076] The control module regulates the chilled water system during the precooling stage, controlling the operating status of the chiller unit or chiller combination based on the comparison between the project's precooling load and the cooling capacity at key operating points. Based on the precooling stage, the control module controls the operating status of the chiller units in adjacent high-efficiency operating zones based on the comparison between the real-time load during the operation stage and the cooling capacity of the current high-efficiency operating zone and the adjacent high-efficiency operating zones on the left and right sides.

[0077] The display module displays the real-time operating status information of the air conditioning chilled water system;

[0078] The control module is also used for sequential start-stop interlocking control between electric water valves, cooling systems, chilled water pumps, air conditioning terminal equipment, chilled water pumps, and chiller units.

[0079] The beneficial effects of this invention are as follows:

[0080] (1) The operating load calculation of the present invention is based on the operating big data of the air conditioning terminal equipment, the basic parameters of the room where the air conditioning terminal equipment is used, and the real-time outdoor meteorological data. It takes into account the real-time outdoor meteorological data and the specific opening amount of the terminal equipment in the air-conditioned room of the project. It is divided into pre-cooling stage load calculation and operation stage load calculation. It can be corrected according to the operating data of the chilled water system. It can ensure that the cooling capacity supply of the chilled water system can respond to the needs of the air conditioning terminal equipment and the air-conditioned room in a timely manner, and can also ensure that the load calculation data is accurately matched with the cooling capacity needs of the air conditioning terminal equipment and the air-conditioned room. The control response is fast and the accuracy is high.

[0081] (2) This invention takes the minimum total energy consumption of the chilled water system as the control target, and clarifies the high-efficiency operating sections and judgment criteria of each operating combination of the chiller unit, which can ensure that the chiller unit always operates efficiently, with low operating energy consumption and significant energy saving and carbon reduction effects.

[0082] (3) This invention fully leverages the value of project basic information collection and entry, project basic information processing and entry, and the field controller of air conditioning terminal equipment for energy-saving operation of chilled water system. Moreover, the control content incorporates the sequential start-stop interlock control between conventional electric water valves, cooling system, chilled water pump, air conditioning terminal equipment, chilled water pump, and chiller unit. It requires fewer additional equipment, has low cost, and strong engineering adaptability.

[0083] Other advantages, objectives, and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination, or may be learned from practice of the invention. The objectives and other advantages of the invention can be realized and obtained through the following description. Attached Figure Description

[0084] To make the objectives, technical solutions, and advantages of the present invention clearer, the preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, wherein:

[0085] Figure 1 This is an overall flowchart of the operation and control method for a comfort air conditioning chilled water system based on terminal big data according to an embodiment of the present invention;

[0086] Figure 2 This is a schematic diagram of the operation and control system of the comfort air conditioning chilled water system based on terminal big data according to an embodiment of the present invention. Detailed Implementation

[0087] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0088] The accompanying drawings are for illustrative purposes only and are schematic diagrams, not actual pictures. They should not be construed as limiting the invention. To better illustrate the embodiments of the invention, some parts in the drawings may be omitted, enlarged, or reduced, and do not represent the actual product dimensions. It is understandable to those skilled in the art that some well-known structures and their descriptions may be omitted in the drawings.

[0089] In the accompanying drawings of the embodiments of the present invention, the same or similar reference numerals correspond to the same or similar components. In the description of the present invention, it should be understood that if terms such as "upper," "lower," "left," "right," "front," and "rear" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, they are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, the terms used to describe positional relationships in the drawings are only for illustrative purposes and should not be construed as limiting the present invention. For those skilled in the art, the specific meaning of the above terms can be understood according to the specific circumstances.

[0090] Please see Figures 1-2 This invention relates to a method and system for the operation and control of a comfort air conditioning chilled water system based on big data from the terminal.

[0091] Example 1

[0092] This embodiment first provides a method for controlling the operation of a comfort air conditioning chilled water system based on big data from the terminal, such as... Figure 1 As shown, the method includes at least the following steps:

[0093] S1. Pre-enter the basic information of the air conditioning chilled water system, including at least the basic information of the project, information of the air-conditioned rooms, information of the air-conditioned terminal equipment, information of the chiller unit, and information of the chilled water pump;

[0094] S2. Perform pre-analysis and processing on the basic information of the air conditioning chilled water system that has been entered;

[0095] S3. Symbolically represent the cooling capacity of the chiller unit and key operating points, and determine the chiller operating combination; at the same time, divide the cooling capacity range of the high-efficiency operating zone;

[0096] S4. Calculate the load for the pre-cooling stage based on the basic information from the preprocessing and the real-time monitoring and operating parameters.

[0097] S5. Perform pre-cooling stage chilled water system regulation and control the operation status of chiller units or chiller combinations based on the comparison between the project's pre-cooling load and the cooling capacity at key operating points.

[0098] S6. Confirm whether to enter the operation phase. If not, return to step S4 to cycle through the pre-cooling phase. If yes, proceed to step S7 to start the operation phase.

[0099] S7. Calculate the load during the operation phase based on the preprocessed basic information and the real-time acquired monitoring and operation parameters;

[0100] S8. Based on the pre-cooling stage, the chilled water system is regulated in the operation stage. The operating status of the chiller units in the adjacent high-efficiency operating zones is controlled according to the comparison between the real-time load in the operation stage and the cooling capacity of the current high-efficiency operating zone and the adjacent high-efficiency operating zones on the left and right sides. The operation stage is cyclical until the end.

[0101] In step S1 of this embodiment, the terminal equipment of the air conditioning chilled water system includes four types of equipment: fan coil units, fresh air handling units, return air handling units, and fresh-return air hybrid handling units. Basic information such as project details, air-conditioned room information, air conditioning terminal equipment information, chiller unit information, and chilled water pump information are collected through methods including consulting architectural design drawings, HVAC design drawings, air conditioning load calculation sheets, equipment parameter data, and on-site testing and communication. The collected basic information is stored in the storage module of the intelligent centralized controller used to control the air conditioning chilled water system.

[0102] In step S2 of this embodiment, the basic information is preprocessed, and the processed information is also entered into the storage module of the intelligent centralized controller for storage. The preprocessing of the basic information includes at least: numbering the air-conditioned rooms and calculating their area and space; numbering the air-conditioned terminal equipment; establishing the correspondence between the air-conditioned rooms and the air-conditioned terminal equipment; calculating the building envelope load of the air-conditioned rooms under the design conditions; calculating the relationship between the outdoor comprehensive temperature of the air conditioning system in summer under the design conditions; fitting the relationship between the chiller unit load rate and the coefficient of performance; and calculating the air enthalpy value based on the dry-bulb temperature and relative humidity.

[0103] In step S3 of this embodiment, the chiller unit configuration is modeled as an "N+1" configuration model, that is, N large-scale chiller units are paired with 1 small-scale chiller unit. The small-scale chiller unit is named Type A chiller unit, and the large-scale chiller unit is named Type B chiller unit. Correspondingly, the minimum allowable starting cooling capacity of the chiller units is named Q. Amin Q Bmin The limited cooling capacity under the high-efficiency operating range is named Q. Aex Q Bex The upper limit of the cooling capacity in the high-efficiency operating range is named Q. Aes Q Bes The maximum cooling capacity is named Q. Amax Q Bmax The naming information of the chiller unit and the cooling capacity code at key operating points is entered into the storage module of the intelligent centralized controller.

[0104] The possible chiller unit combinations during operation are named A, B, A+B, 2B, A+2B, 3B...A+(N-1)B, NB, A+NB in ​​ascending order of cooling capacity. The high-efficiency operating range of each combination is Q. Aex ~Q Aes Q Bex ~Q Bes Q Aex +Q Bex ~Q Aes +Q Bes 2Q Bex ~2Q Bes Q Aex +2Q Bex ~Q Aes +2Q Bes 3Q Bex ~3Q Bes ...Q Aex +(N-1)Q Bex ~NQ Bes Q Aex +NQ Bex ~Q Aes +NQ BesThe load distribution among the chiller units in each combination is proportional, based on the principle that all chiller units are in their high-efficiency operating range. Each chiller unit adjusts its cooling capacity according to the assigned load. If adjacent combinations have overlapping high-efficiency operating range cooling capacities, the combination with the highest performance coefficient is assigned to the overlapping section, and the overlapping section is removed from the high-efficiency operating range of other combinations. The load rate of each chiller unit is calculated based on its assigned load, and then the chiller unit's performance coefficient is calculated using the fitting relationship between load rate and performance coefficient. The combination designation and high-efficiency operating range cooling capacity segment division information are entered into the intelligent centralized controller's storage module.

[0105] In this embodiment, real-time monitoring data needs to be acquired during both the pre-cooling and operation phases. The real-time monitoring operation parameters are acquired through methods including direct sensor monitoring and extraction from the field controller. Specifically, the monitoring operation parameters acquired through direct sensor monitoring include: outdoor meteorological parameters, including temperature, humidity, and solar radiation illuminance; chilled water system parameters, including supply water temperature, return water temperature, and operating flow rate; chiller unit operating parameters, including cumulative operating time, start / stop status, cooling capacity, and load rate; and chilled water pump operating parameters, including cumulative operating time, start / stop status, and operating frequency. The monitoring and operating parameters extracted from the field controller include: fan coil unit operating parameters, specifically including inlet air temperature and humidity, fan start / stop status and operating speed, and electric water valve on / off status; fresh air air conditioning unit operating parameters, specifically including outlet air temperature and humidity, fan start / stop status and operating frequency, and electric water valve on / off status; return air air conditioning unit operating parameters, specifically including inlet air temperature and humidity, outlet air temperature and humidity, fan start / stop status and operating frequency, and electric water valve on / off status; and fresh / return air mixed air conditioning unit operating parameters, specifically including inlet air temperature and humidity, outlet air temperature and humidity, fan start / stop status and operating frequency, and electric water valve on / off status.

[0106] In step S4 of this embodiment, the fresh air system is not turned on during the pre-cooling stage. The cooling load during the pre-cooling stage only includes the building envelope load and the infiltration air volume load, and is calculated according to the following method:

[0107] (1) Calculation of load on building envelope

[0108]

[0109] In the formula, Q wyi The load on the building envelope during the pre-cooling stage of room i; t zy Calculate the overall outdoor temperature in real time; t yi The pre-cooling temperature of room i; t zs The outdoor comprehensive temperature under design conditions; t si The design temperature for room i; Q wsiThe load on the building envelope under the design conditions for room i; t sh ρ represents the real-time outdoor temperature; ρ is the absorption coefficient of solar radiation heat on the outer surface of the building envelope; α w J is the heat transfer coefficient of the outer surface of the building envelope; sh This refers to solar radiation illuminance.

[0110] (2) Calculation of infiltration air volume load

[0111]

[0112] L sti =V i ×n i

[0113] In the formula, Q sti L is the infiltration airflow load during the pre-cooling stage of room i. sti The infiltration air volume during the pre-cooling stage of room i; ρ air h represents the air density; in this embodiment, the air density is taken as 1.2. sh This is the real-time enthalpy value of outdoor air, calculated based on real-time monitoring of outdoor air dry-bulb temperature and relative humidity; h yi V represents the enthalpy of indoor air during the pre-cooling phase of room i, calculated based on the set dry-bulb temperature and relative humidity. i Let n be the volume of room i; i The number of air changes per second during the pre-cooling stage of room i is manually set and can be adjusted according to the operating conditions.

[0114] (3) Calculation of project precooling load

[0115]

[0116] In the formula, W y The pre-cooling load for the project is calculated by summing the pre-cooling loads of each room and multiplying by a correction factor; K y The precooling load correction factor for the project is set to 1 during the first operating cycle of the air conditioning system, and the value is set according to the overall deviation between the measured value of the chilled water system return water temperature and the design value of the return water temperature monitored in the operating cycles that have occurred.

[0117] In step S5 of this embodiment, the chilled water system is started and regulated during the pre-cooling stage:

[0118] Based on the calculated project pre-cooling load, and using the project pre-cooling load Q... y As the starting load for the precooling stage, no addition or reduction of the compressor is performed during the entire precooling stage operation.

[0119] When Q y Amin ​At that time, the chiller unit will not be started, and the project will not undergo pre-cooling;

[0120] When Q Amin ≤Q y Aex At that time, chiller unit A was started to pre-cool the project;

[0121] When Q Aex ≤Q y When, then according to Q y Determine the chiller unit combination based on the high-efficiency operating zone and cooling capacity range, and start the corresponding chiller units for pre-cooling;

[0122] Based on the chiller unit to be started, determine the start-up of the corresponding chilled water pump, and based on the load rate of the chiller unit, determine the operating frequency of the chilled water pump motor. When the determined operating frequency is lower than the lower limit frequency of the chilled water pump, the chilled water pump will start running at the lower limit frequency.

[0123] In step S6 of this embodiment, it is confirmed whether the operation phase has been entered. If not, the process returns to step S4 to cycle through the pre-cooling phase; if yes, it proceeds to step S7. Whether the process has entered the operation phase from the pre-cooling phase can be confirmed manually or automatically based on the current temperature.

[0124] In step S7 of this embodiment, the cooling load during the operation phase includes the operating loads of fan coil units, fresh air handling units, return air handling units, and fresh-return air hybrid handling units, and is calculated respectively according to the following methods:

[0125] (1) Calculation of operating load of fan coil unit

[0126]

[0127] In the formula, Q frj For the operating load of fan coil unit j; L fyj The operating air volume of fan coil unit j is automatically retrieved from the storage module of the intelligent centralized controller based on the operating fan speed setting; L fyj h is the design air volume of fan coil unit j; frj The enthalpy of the air at the inlet air state point of the fan coil unit (j) is calculated based on the real-time monitored inlet dry-bulb temperature and relative humidity; h sb The enthalpy of air at 100% relative humidity under the design supply temperature for chilled water; h fsj Q represents the enthalpy value corresponding to the temperature and humidity of the inlet air at the state point under the design operating conditions of the fan coil unit. fsj This refers to the cooling capacity of fan coil unit j under design conditions.

[0128] (2) Calculation of operating load of fresh air conditioning unit

[0129]

[0130] In the formula, Q xrj For the operating load of the fresh air conditioning unit j; L xsj The design air volume of the fresh air conditioning unit j is given by the value "50", which represents the rated operating frequency of the fan. This value is conventionally accepted in this field and is generally taken as 50. xj The actual operating frequency of the fan in the fresh air conditioning unit; h sh This is the real-time enthalpy value of outdoor air, calculated based on real-time monitoring of outdoor air dry-bulb temperature and relative humidity; h xcj The enthalpy of the air outlet of the fresh air conditioning unit j is calculated based on the real-time monitored dry-bulb temperature and relative humidity of the air outlet.

[0131] (3) Calculation of operating load of return air conditioning unit

[0132]

[0133] In the formula, Q hrj For the operating load of return air conditioning unit j; L hsj F is the design air volume for the return air conditioning unit j; hj h is the actual operating frequency of the return air conditioning unit's fan. hjj The enthalpy of the incoming air for the return air conditioning unit j is calculated based on the real-time monitored incoming air dry-bulb temperature and relative humidity; h hcj The enthalpy of the return air conditioning unit j is calculated based on the real-time monitored dry-bulb temperature and relative humidity of the return air.

[0134] (4) Calculation of operating load of fresh air and return air mixed air conditioning unit

[0135]

[0136] In the formula, Q xhrj For the operating load of the new return air air conditioning unit j; L xhsj The design air volume for the new return air conditioning unit j; F xhj h is the actual operating frequency of the return air conditioning unit's fan. xhjj The inlet enthalpy of the fresh return air air conditioning unit j is calculated based on the real-time monitored inlet dry-bulb temperature and relative humidity; h xhcj The enthalpy of the air outlet of the new return air conditioning unit j is calculated based on the real-time monitored dry-bulb temperature and relative humidity of the air outlet.

[0137] (5) Load calculation during project operation phase

[0138]

[0139] In the formula, Q rThe load during the project's operational phase is calculated by summing the operating loads of all air conditioning terminal devices in operation. The calculated operating load is only included in the statistics when both the fans and electric water valves of the air conditioning terminal devices are open; K r This is the load correction factor for the project operation phase. It is set to 1 during the first operating cycle of the air conditioning system, and the value is set for the remaining operating cycles based on the overall deviation between the measured value of the chilled water system return water temperature and the design value of the return water temperature monitored during the operating cycles that have occurred.

[0140] In step S8 of this embodiment, the operation and control of the chilled water system are carried out during the operation phase:

[0141] The operation of the chilled water system during the operational phase is based on the existing operation during the precooling phase, and is based on the real-time load Q during the operational phase. r As a criterion for judging the addition or subtraction of chiller units;

[0142] Calculate the real-time load Q during the project operation phase r ;

[0143] When Q r If the current operating chiller unit combination reaches the upper limit of its high-efficiency operating range, then determine Q. r If the value is greater than or equal to the lower limit of the high-efficiency operating range of the adjacent combination to the right, and the judgment is true, then the unit configuration is adjusted according to the unit configuration of the adjacent combination. If the judgment is false, then the current combination operation is maintained until Q. r ≥ Lower limit of the efficient operating zone of adjacent combinations on the right or Q r If the sum of the maximum cooling capacity of all operating chiller units is greater than or equal to the sum of the maximum cooling capacity of all chiller units, then the unit adjustment will be made according to the adjacent combination on the right.

[0144] When Q r If the current operating chiller unit combination is at the lower limit of its high-efficiency operating range, then determine Q. r If the value is less than or equal to the upper limit of the high-efficiency operating zone of the adjacent combination to the left, and the condition is met, then the unit configuration of the adjacent combination will be adjusted. If the condition is not met, then the current combination will remain in operation until Q. r If the load on any one of the chiller units in operation is less than or equal to the upper limit of the high-efficiency operating zone of the adjacent combination on the left, or less than or equal to 1.1 times the minimum allowable starting cooling capacity, then the unit adjustment shall be made according to the adjacent combination on the left.

[0145] If the precooling stage is not started, the operating load at the start of the operation stage shall be used as the starting load, and the chiller unit shall be started in accordance with the method of step S6.

[0146] When adding a Type B chiller unit, prioritize adding the Type B chiller unit with the shortest cumulative operating time;

[0147] When reducing the number of Type B chillers, prioritize reducing the Type B chiller with the longest cumulative operating time.

[0148] Each chiller unit should have a single operating time of no less than 20 minutes;

[0149] Adjust the start and stop of the corresponding chilled water pumps according to the start and stop requirements of the chiller unit. Determine the operating frequency of the corresponding chilled water pump motor according to the load rate of the chiller unit. When the determined operating frequency is lower than the lower limit frequency of the chilled water pump, the chilled water pump will start running at the lower limit frequency.

[0150] Example 2

[0151] This embodiment provides a comfort air conditioning chilled water system operation and control system based on terminal big data, based on the method of Embodiment 1. It includes: the air conditioning chilled water system itself and an intelligent centralized controller. The intelligent centralized controller is connected via a communication bus to various sensors of the air conditioning chilled water system, field controllers of air conditioning terminal equipment, chiller units, chilled water pumps, cooling systems, cooling water pumps, and electric valves. The intelligent centralized controller includes a storage module, a computing module, a control module, and a display module.

[0152] The storage module is used to store basic information about the air conditioning chilled water system, including at least basic project information, air-conditioned room information, air-conditioned terminal equipment information, chiller unit information, and chilled water pump information;

[0153] The calculation module performs pre-analysis and processing on the basic information of the air conditioning chilled water system in the storage module; it also symbolically represents the cooling capacity of the chiller unit and key operating points, and determines the chiller operating combination; at the same time, it divides the cooling capacity segment of the high-efficiency operating zone, and stores the processed information back into the storage module;

[0154] The calculation module acquires the monitoring and operation parameters of the air conditioning chilled water system in real time, and performs project load calculations for the pre-cooling and operation stages based on the pre-processed basic information and the real-time acquired monitoring and operation parameters.

[0155] The control module regulates the chilled water system during the precooling stage, controlling the operating status of the chiller unit or chiller combination based on the comparison between the project's precooling load and the cooling capacity at key operating points. Based on the precooling stage, the control module controls the operating status of the chiller units in adjacent high-efficiency operating zones based on the comparison between the real-time load during the operation stage and the cooling capacity of the current high-efficiency operating zone and the adjacent high-efficiency operating zones on the left and right sides.

[0156] The display module shows the real-time operating status information of the air conditioning chilled water system.

[0157] Additionally, the control module also includes conventional electric water valves, cooling systems, chilled water pumps, air conditioning terminal equipment, chilled water pumps, and sequential start-stop interlock control between chiller units.

[0158] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for operation and control of a comfort air conditioning chilled water system based on terminal big data, characterized in that: The method includes: S1. Pre-enter the basic information of the air conditioning chilled water system, including at least the basic information of the project, information of the air-conditioned rooms, information of the air-conditioned terminal equipment, information of the chiller unit, and information of the chilled water pump; S2. Perform pre-analysis and processing on the basic information of the air conditioning chilled water system that has been entered; S3. Symbolically represent the cooling capacity of the chiller unit and key operating points, and determine the chiller operating combination; at the same time, divide the cooling capacity range of the high-efficiency operating zone; S4. Calculate the load for the pre-cooling stage based on the basic information from the preprocessing and the real-time monitoring and operating parameters. S5. Perform pre-cooling stage chilled water system regulation and control the operation status of chiller units or chiller combinations based on the comparison between the project's pre-cooling load and the cooling capacity at key operating points. S6. Confirm whether to enter the operation phase. If not, return to step S4 to cycle through the pre-cooling phase. If yes, proceed to step S7 to start the operation phase. S7. Calculate the load during the operation phase based on the preprocessed basic information and the real-time acquired monitoring and operation parameters; S8. Based on the pre-cooling stage, the chilled water system is regulated in the operation stage. The operating status of the chiller units in the adjacent high-efficiency operating zones is controlled according to the comparison between the real-time load in the operation stage and the cooling capacity of the current high-efficiency operating zone and the adjacent high-efficiency operating zones on the left and right sides. The operation stage is cyclical until the end.

2. The method for operation and control of a comfort air conditioning chilled water system based on terminal big data as described in claim 1, characterized in that: In step S1, the terminal equipment of the air conditioning chilled water system includes four types of equipment: fan coil units, fresh air air conditioning units, return air air conditioning units, and fresh and return air mixed air conditioning units. Basic project information, air-conditioned room information, air-conditioning terminal equipment information, chiller unit information, and chilled water pump information were collected by reviewing architectural design drawings, HVAC design drawings, air conditioning load calculation sheets, equipment parameter data, and through on-site testing and communication. The collected basic information is stored in the storage module of the intelligent centralized controller used to control the air conditioning chilled water system.

3. The method for operation and control of a comfort air conditioning chilled water system based on terminal big data according to claim 2, characterized in that: In step S2, the preprocessing of basic information includes at least: numbering the air-conditioned rooms and calculating their area and space; numbering the air-conditioned terminal equipment; establishing the correspondence between the air-conditioned rooms and the air-conditioned terminal equipment; calculating the building envelope load of the air-conditioned rooms under design conditions; calculating the comprehensive outdoor temperature of the air conditioning system in summer under design conditions; fitting the relationship between the chiller unit load rate and performance coefficient; and calculating the air enthalpy value based on the dry-bulb temperature and relative humidity.

4. The method for operation and control of a comfort air conditioning chilled water system based on terminal big data as described in claim 3, characterized in that: In step S3, the chiller unit configuration is modeled as an "N+1" configuration model, that is, N large-scale chiller units are paired with 1 small-scale chiller unit. The small-scale chiller unit is named Type A chiller unit, and the large-scale chiller unit is named Type B chiller unit. The minimum allowable starting cooling capacity of the chiller units is named as follows: , The limited cooling capacity under the high-efficiency operating range is named as follows: , The upper limit of the cooling capacity in the high-efficiency operating zone is named as follows: , The maximum cooling capacity is named as follows: , ; Enter the naming information of the chiller unit and the cooling capacity code of the key operating point into the storage module of the intelligent centralized controller; The possible chiller unit combinations during operation are named A, B, A+B, 2B, A+2B, 3B...A+(N-1)B, NB, A+NB in ​​ascending order of cooling capacity. The high-efficiency operating range of each combination is as follows: , , , , , ... , The load distribution among the chillers in each combination is proportional based on the principle that each chiller is in its high-efficiency zone. Each chiller adjusts its cooling capacity according to the load it is assigned to. If there is overlap in the cooling capacity of the high-efficiency operating zone between adjacent combinations, the combination with the highest performance coefficient is assigned to the combination with the highest performance coefficient based on the performance coefficient of the chillers in the overlapping zone, and the overlapping zone is removed from the high-efficiency operating zone of other combinations. Based on the load assigned to each chiller unit, calculate the load factor of the chiller unit, and then calculate the coefficient of performance of the chiller unit based on the fitting relationship between the load factor and the coefficient of performance. Enter the operating combination code name and the information on the division of cooling capacity sections in the high-efficiency operating zone into the storage module of the intelligent centralized controller.

5. The method for operation and control of a comfort air conditioning chilled water system based on terminal big data according to claim 4, characterized in that: The methods for acquiring real-time monitoring and operating parameters include direct monitoring by sensors and extraction from field controllers. The monitoring and operation parameters obtained directly through sensors include: outdoor meteorological parameters, including temperature, humidity, and solar radiation; chilled water system parameters, including supply water temperature, return water temperature, and operating flow rate; chiller unit operation parameters, including cumulative operating time, start-stop status, cooling capacity, and load rate; and chilled water pump operation parameters, including cumulative operating time, start-stop status, and operating frequency. The monitoring and operating parameters extracted from the field controller include: fan coil unit operating parameters, including inlet air temperature and humidity, fan start / stop status and operating speed, and electric water valve on / off status; fresh air air conditioning unit operating parameters, including outlet air temperature and humidity, fan start / stop status and operating frequency, and electric water valve on / off status; return air air conditioning unit operating parameters, including inlet air temperature and humidity, outlet air temperature and humidity, fan start / stop status and operating frequency, and electric water valve on / off status; and fresh / return air mixed air conditioning unit operating parameters, including inlet air temperature and humidity, outlet air temperature and humidity, fan start / stop status and operating frequency, and electric water valve on / off status.

6. The method for operation and control of a comfort air conditioning chilled water system based on terminal big data according to claim 5, characterized in that: In step S4, the fresh air system is not activated during the pre-cooling stage. The cooling load during the pre-cooling stage only includes the building envelope load and the infiltration air volume load. The calculation method for each type of load is as follows: Envelope load: In the formula, For the room The load on the building envelope during the pre-cooling stage; Calculate the overall outdoor temperature in real time; For the room The pre-cooling temperature; The outdoor comprehensive temperature under design conditions; For the room Design temperature; For the room Load on the building envelope under design conditions; This is the real-time outdoor temperature. The absorption coefficient of solar radiation heat on the outer surface of the building envelope; J is the heat transfer coefficient of the outer surface of the building envelope; sh Solar radiation illuminance; Infiltration air volume load: In the formula, For the room Infiltration airflow load during the precooling stage; For the room Infiltration air volume during the precooling stage; Indicates air density; This is the real-time enthalpy value of outdoor air. For the room Indoor air enthalpy during the pre-cooling stage; For the room Volume; For the room The number of air changes per second during the precooling stage; The pre-cooling load for the project during the pre-cooling phase is: In the formula, The pre-cooling load for the project is calculated by summing the pre-cooling loads of each room and multiplying by a correction factor. Total number of rooms; The precooling load correction factor for the project is set to 1 during the first operating cycle of the air conditioning system, and the value is set according to the overall deviation between the measured value of the chilled water system return water temperature and the design value of the return water temperature monitored in the operating cycles that have occurred.

7. The method for operation and control of a comfort air conditioning chilled water system based on terminal big data as described in claim 6, characterized in that: In step S5, the start-up and control process of the chilled water system during the precooling stage is as follows: Project precooling load As the starting load for the precooling stage, no addition or reduction of the compressor is performed during the entire precooling stage operation. when At that time, the chiller unit will not be started, and the project will not undergo pre-cooling; when At that time, chiller unit A was started to pre-cool the project; when At that time, according to Determine the chiller unit combination based on the high-efficiency operating zone and cooling capacity range, and start the corresponding chiller units for pre-cooling; Based on the chiller unit to be started, determine the start-up of the corresponding chilled water pump, and determine the operating frequency of the chilled water pump motor based on the load rate of the chiller unit. When the determined operating frequency is lower than the lower limit frequency of the chilled water pump, the chilled water pump will start running at the lower limit frequency.

8. The method for operation and control of a comfort air conditioning chilled water system based on terminal big data according to claim 5, characterized in that: In step S7, the cooling load during the operation phase includes the operating loads of fan coil units, fresh air handling units, return air handling units, and fresh-return air hybrid handling units, and their load calculation methods are as follows: Fan coil unit operating load: In the formula, For fan coil units Operating load; For fan coil units Operating air; For fan coil units Design air volume; For fan coil units The enthalpy of air at the air intake point; The air enthalpy at a relative humidity of 100% at the designed chilled water supply temperature; For fan coil units The enthalpy value corresponding to the temperature and humidity of the intake air at the state point under design conditions; For fan coil units Cooling capacity under design conditions; Operating load of fresh air conditioning unit: In the formula, For new return air air conditioning units Operating load; For new return air air conditioning units Design air volume; "50" represents the air density, and "50" represents the rated operating frequency of the fan. This refers to the actual operating frequency of the fan in the return air conditioning unit. For new return air air conditioning units The enthalpy value of the incoming air; For new return air air conditioning units The enthalpy value of the air outlet; Calculation of operating load for return air conditioning unit: In the formula, For return air air conditioning units Operating load; For return air conditioning units Design air volume; This refers to the actual operating frequency of the fan in the return air conditioning unit. For return air air conditioning units The enthalpy of the incoming air is calculated based on the real-time monitored dry-bulb temperature and relative humidity of the incoming air. For return air conditioning units The outlet enthalpy value is calculated based on the real-time monitored outlet dry-bulb temperature and relative humidity. Calculation of operating load for fresh air and return air hybrid air conditioning unit: In the formula, For new return air air conditioning units Operating load; For new return air air conditioning units Design air volume; This refers to the actual operating frequency of the fan in the return air conditioning unit. For new return air air conditioning units The enthalpy of the incoming air is calculated based on the real-time monitored dry-bulb temperature and relative humidity of the incoming air. For new return air air conditioning units The outlet enthalpy value is calculated based on the real-time monitored outlet dry-bulb temperature and relative humidity. The project's operational load during the operation phase is: In the formula, The load during the project operation phase is calculated by summing the operating loads of each air conditioning terminal device in operation. The calculated operating load is only included in the statistics when both the fan and electric water valve of the air conditioning terminal device are in the open state. The load correction factor is set during the project operation phase. It is set to 1 during the first operating cycle of the air conditioning system and to a different value for the remaining operating cycles. The value is set based on the overall deviation between the measured value of the chilled water system return water temperature and the design value of the return water temperature monitored during the operating cycles that have occurred.

9. The method for operation and control of a comfort air conditioning chilled water system based on terminal big data as described in claim 8, characterized in that: In step S8, the operation and control process of the chilled water system during the operation phase is as follows: The operation of the chilled water system during the operational phase is based on the existing operation during the pre-cooling phase, and is adjusted according to the real-time load during the operational phase. As a criterion for judging the addition or subtraction of chiller units; Calculate the real-time load during the project operation phase ; when When the current operating chiller unit combination reaches the upper limit of its high-efficiency operating range, then it is determined that... If the value is greater than or equal to the lower limit of the high-efficiency operating range of the adjacent combination to the right, and the judgment is true, then the unit configuration is adjusted according to the unit configuration of the adjacent combination. If the judgment is false, then the current combination operation is maintained until... ≥ Lower limit of the efficient operating zone of adjacent combination on the right or If the sum of the maximum cooling capacity of all operating chiller units is greater than or equal to the sum of the maximum cooling capacity of all chiller units, then the unit adjustment will be made according to the adjacent combination on the right. when When the current operating chiller unit combination reaches the lower limit of its high-efficiency operating range, then it is determined that... If the value is less than or equal to the upper limit of the high-efficiency operating zone of the adjacent combination to the left, and the determination is true, then the unit configuration of the adjacent combination will be adjusted. If the determination is false, then the current combination will remain in operation until... If the upper limit of the high-efficiency operating zone of the adjacent combination on the left or the load undertaken by any chiller unit in operation is less than or equal to the minimum allowable starting cooling capacity under the preset multiple, then the unit adjustment shall be made according to the adjacent combination on the left. During the operation phase, if the precooling phase is not started, the operating load at the start of the operation phase is used as the starting load, and the chiller unit is started according to the method in step S6. When adding a Type B chiller unit, prioritize adding the Type B chiller unit with the shortest cumulative operating time; When reducing the number of Type B chillers, prioritize reducing the Type B chiller with the longest cumulative operating time. The single operation time of each chiller unit shall not be less than the specified minimum duration; Adjust the start and stop of the corresponding chilled water pumps according to the start and stop requirements of the chiller unit. Determine the operating frequency of the corresponding chilled water pump motor according to the load rate of the chiller unit. When the determined operating frequency is lower than the lower limit frequency of the chilled water pump, the chilled water pump starts to operate at the lower limit frequency.

10. A system for implementing the operation and control method of a comfort air conditioning chilled water system based on terminal big data as described in any one of claims 1-9, characterized in that: It includes: The air conditioning chilled water system itself and the intelligent centralized controller are included. The intelligent centralized controller is connected via a communication bus to various sensors of the air conditioning chilled water system, field controllers of air conditioning terminal equipment, chiller units, chilled water pumps, cooling systems, cooling water pumps, and electric valves. The intelligent centralized controller includes a storage module, a computing module, a control module, and a display module. The storage module is used to store basic information about the air conditioning chilled water system, including at least basic project information, air-conditioned room information, air-conditioned terminal equipment information, chiller unit information, and chilled water pump information; The calculation module performs pre-analysis and processing on the basic information of the air conditioning chilled water system in the storage module; it also symbolically represents the cooling capacity of the chiller unit and key operating points, and determines the chiller operating combination; at the same time, it divides the cooling capacity segment of the high-efficiency operating zone, and stores the processed information back into the storage module; The calculation module acquires the monitoring and operation parameters of the air conditioning chilled water system in real time, and performs project load calculations for the pre-cooling and operation stages based on the pre-processed basic information and the real-time acquired monitoring and operation parameters. The control module regulates the chilled water system during the precooling stage, controlling the operating status of the chiller unit or chiller combination based on the comparison between the project's precooling load and the cooling capacity at key operating points. Based on the precooling stage, the control module controls the operating status of the chiller units in adjacent high-efficiency operating zones based on the comparison between the real-time load during the operation stage and the cooling capacity of the current high-efficiency operating zone and the adjacent high-efficiency operating zones on the left and right sides. The display module displays the real-time operating status information of the air conditioning chilled water system; The control module is also used for sequential start-stop interlocking control between electric water valves, cooling systems, cooling water pumps, air conditioning terminal equipment, chilled water pumps, and chiller units.

Citation Information

Patent Citations

  • Central air-conditioning energy-saving control system and control strategy thereof

    CN105546759A

  • Air conditioner system comprehensive control method

    CN108917136A