Comfortable air conditioner chilled water system operation regulation and control method and system based on tail end big data

Abstract

The invention relates to a comfortable air conditioner chilled water system operation regulation and control method and system based on tail end big data, and belongs to the technical field of energy conservation and carbon reduction. The method comprises the steps of basic information collection and input, basic information processing and input, operation parameter monitoring, operation load calculation, chilled water system operation regulation and control and the like. Operation load calculation takes operation big data of the air-conditioning terminal equipment and basic parameters of a room used by the air-conditioning terminal equipment as basic data, and is divided into pre-cooling stage calculation and operation stage calculation, correction can be carried out according to operation data of the chilled water system, and the accuracy is high; the lowest total energy consumption of a chilled water system is taken as a target, efficient operation sections and judgment standards of all operation combinations of the water chilling unit are defined, and efficient operation is ensured; the intelligent integrated controller comprises a storage module, a calculation module, a control module and a display module. The method is clear in theoretical significance, fast in regulation and control response and high in engineering adaptability, and efficient and energy-saving operation of the comfortable air conditioner chilled water system can be achieved.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy conservation and carbon reduction, and relates to an operation control method and system for a comfort air-conditioning chilled water system based on terminal big data. Background Art

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

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

[0004] From a technical perspective, many industry experts have conducted extensive research on 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 and chilled water system supply and return water temperature and flow monitoring data. Control is based on the principle of reducing the number of operating chillers, and is supplemented by monitoring the supply and return water pressure differential of the chilled water system and adjusting the operating frequency of the chilled water pump. Currently, the technical solutions adopted by the industry have a certain degree of scientific validity, but also have certain flaws. For example, load forecasts are not very accurate compared to actual project operations, and changes in supply and return water temperatures lag significantly behind changes in terminal loads. If these existing flaws can be overcome or avoided, the energy-saving operation and control effects of chilled water systems can be further improved.

[0005] In addition, with the rapid development of electronic technology, information technology, computer science and technology, the production costs of automatic control system devices such as sensors and intelligent controllers are decreasing, and their application breadth and depth in various fields are also increasing, which 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 the present invention is to provide a method and system for operating and controlling a comfort air-conditioning chilled water system based on terminal big data. The method takes the minimum total energy consumption of the chilled water system as the control target, clarifies the high-efficiency operating sections and judgment criteria of each operating combination of the chiller, and can ensure that the chiller always operates efficiently, with low operating energy consumption and significant energy-saving and carbon-reduction effects.

[0007] In order to achieve the above object, the present invention provides the following technical solutions:

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

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

[0010] S2. Preliminary analysis and processing of the input basic information of the air-conditioning chilled water system;

[0011] S3. Symbolize the cooling capacity of the chiller and key operating points, and determine the chiller operation combination; at the same time, divide the cooling capacity into high-efficiency operation zones;

[0012] S4. Calculate the load in the pre-cooling stage based on the basic information of the pre-processing and the monitoring operation parameters obtained in real time;

[0013] S5. Regulate the chilled water system during the pre-cooling phase, and control the operating status of the chiller or chiller combination based on the comparison between the project 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 circulate the pre-cooling phase; if yes, enter step S7 to start the operation phase;

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

[0016] S8. On the basis of the pre-cooling stage, the chilled water system is regulated in the operation stage. The operating status of the chillers in the adjacent high-efficiency operation areas is controlled according to the comparison between the real-time load in the operation stage and the cooling capacity of the current high-efficiency operation area and the adjacent high-efficiency operation areas on the left and right sides. The operation stage is cyclically operated 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 return air mixed air-conditioning units;

[0018] Collect basic project information, air-conditioned room information, air-conditioning terminal equipment information, chiller information, and chilled water pump information by consulting architectural design drawings, HVAC design drawings, air-conditioning load calculations, equipment parameter data, and on-site testing and communication;

[0019] The collected basic information is stored in a storage module of an intelligent centralized controller for controlling an 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 the area and space, numbering the air-conditioning terminal equipment, establishing a corresponding relationship between the air-conditioned rooms and the air-conditioning terminal equipment, calculating the enclosure structure load of the air-conditioned rooms under the design conditions, calculating the summer air-conditioned outdoor comprehensive temperature under the design conditions, fitting the relationship between the chiller load rate and the performance coefficient, and calculating the air enthalpy value based on the air dry-bulb temperature and relative humidity.

[0021] Furthermore, in step S3, the chiller configuration is modeled as an "N+1" configuration model, that is, N large-scale chillers are paired with one small-scale chiller, the small-scale chiller is named type A chiller, and the large-scale chiller is named type B chiller; the minimum cooling capacity allowed to start up by the chillers is named Q Amin , Q Bmin , the lower limit cooling capacity in the high efficiency operation area is named Q Aex , Q Bex , the upper limit cooling capacity of the high efficiency operation area is named Q Aes , Q Bes , and the maximum cooling capacity is named Q Amax , Q Bmax ;

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

[0023] The possible chiller combinations that may appear during operation are named A, B, A+B, 2B, A+2B, 3B...A+(N-1)B, NB, A+NB in ​​order of cooling capacity from small to large. The cooling capacity sections of the efficient operation area of ​​each operation combination are 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 between the chillers in each combination is proportionally distributed based on the principle that each chiller is in the high-efficiency zone, and each chiller adjusts its cooling capacity according to the assigned load. If there is overlap in the cooling capacity of the high-efficiency operating zone between adjacent combinations, the chillers in each combination are assigned to the combination with the highest performance coefficient based on the performance coefficient of the overlapping section, and the overlapping section is removed from the high-efficiency operating zone of other combinations. The load rate of the chiller is calculated based on the assigned load of each chiller, and the performance coefficient of the chiller is then calculated based on the fitting relationship between the load rate and performance coefficient.

[0024] The operation combination code name and the high-efficiency operation area cooling capacity segment division information are entered into the intelligent centralized controller storage module.

[0025] Furthermore, the acquisition methods of the monitoring operation parameters acquired in real time include direct monitoring by sensors and extraction from field controllers, wherein,

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

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

[0028] Furthermore, in step S4, the fresh air system is not turned on during the pre-cooling stage. The cooling load during the pre-cooling stage only includes the enclosure load and the infiltration air volume load. The calculation method of each load is:

[0029] Enclosure structure load:

[0030]

[0031]

[0032] Where Q wyi is the enclosure load of room i during the precooling stage; t zy Calculate the outdoor comprehensive temperature in real time;yi is the pre-cooling temperature of room i; t zs is the outdoor comprehensive temperature under design conditions; t su is the design temperature of room i; Q wsi is the load of the enclosure structure under the design condition of room i; t sh is the outdoor real-time temperature; ρ is the absorption coefficient of the outer surface of the enclosure structure for solar radiation heat; α w is the heat transfer coefficient of the outer surface of the enclosure structure; J sh is the solar radiation illuminance;

[0033] Infiltration air load:

[0034]

[0035] L sti =V i ×n i

[0036] Where Q sti is the infiltration air load of room i during the pre-cooling stage; L sti is the infiltration air volume of room i during the pre-cooling stage; ρ air Indicates air density; h sh is the real-time enthalpy value of outdoor air; h yi is the indoor air enthalpy value of room i during the precooling stage; V i is the volume of room i; n i is the number of ventilation changes of infiltration air in room i during the pre-cooling stage;

[0037] The pre-cooling load of the project in the pre-cooling stage is:

[0038]

[0039] Where Q y is the pre-cooling load of the project, which is obtained by accumulating the pre-cooling load of each room and multiplying it by the correction coefficient. N is the total number of rooms. K y It is the project pre-cooling load correction coefficient. It takes 1 for the first operation cycle of the air-conditioning system and takes different values ​​for the remaining operation cycles. It is set according to the overall deviation between the actual return water temperature of the chilled water system monitored in the operation cycle that has occurred and the return water temperature design value.

[0040] Furthermore, in step S5, the chilled water system startup and control process in the pre-cooling stage is as follows:

[0041] Take the project pre-cooling load Q y As the starting load of the pre-cooling stage, no adding or subtracting operation is performed during the entire pre-cooling stage;

[0042] When Q y Amin ​When the chiller is turned on, the project does not perform pre-cooling;

[0043] When Q Amin ≤Q y Aex When the time comes, start chiller A and the project will be pre-cooled;

[0044] When Q Aex ≤Q y When Q y Determine the chiller combination based on the cooling capacity section of the efficient operation area and start the corresponding chiller for pre-cooling;

[0045] According to the chiller that needs to be started, the start of the corresponding chilled water pump is determined, and the operating frequency of the chilled water pump motor is determined according to the load rate of the chiller. When the determined operating frequency is lower than the lower limit frequency of the chilled water pump, the chilled water pump starts and runs at the lower limit frequency.

[0046] Furthermore, in step S7, the cooling load in the operation phase includes the operating loads of the fan coil unit, the fresh air air conditioning unit, the return air air conditioning unit, and the fresh return air mixed air conditioning unit, and the load calculation methods are as follows:

[0047] Fan coil unit operating load:

[0048]

[0049] Where Q frj is the operating load of fan coil unit j; L fyj is the operating wind speed of fan coil unit j; L fyj is the design air volume of fan coil unit j; h frj is the air enthalpy value at the air inlet state point of fan coil unit j; h sb h is the air enthalpy value at the design supply temperature of chilled water and relative humidity of 100%; fsj Q is the enthalpy value corresponding to the temperature and humidity of the inlet air state point under the design condition of fan coil unit j; fsj is the cooling capacity of fan coil unit j under design conditions;

[0050] Fresh air air conditioning unit operating load:

[0051]

[0052] Where Q xhrj is the operating load of the new return air air conditioning unit j; L xhsj is the design air volume of the new return air conditioning unit j; ρ air is the air density, “50” is the rated operating frequency of the fan; F xhj is the actual operating frequency of the fan of the return air air conditioning unit; h xhjj ​is the inlet air enthalpy of the new return air conditioning unit j; h xhcj is the outlet enthalpy of the new return air air conditioning unit j;

[0053] Return air air conditioning unit operating load calculation:

[0054]

[0055] Where Q hrj is the operating load of return air conditioning unit j; L hsj is the design air volume of return air conditioning unit j; F hj is the actual operating frequency of the fan of the return air air conditioning unit; h hjj is the inlet air enthalpy value of return air conditioning unit j, which is converted according to the real-time monitored inlet air dry bulb temperature and relative humidity; h hcj is the outlet air enthalpy value of return air conditioning unit j, which is converted according to the real-time monitored outlet air dry-bulb temperature and relative humidity;

[0056] Calculation of operating load of fresh-return air mixing air-conditioning unit:

[0057]

[0058] Where Q xhrj is the operating load of the new return air air conditioning unit j; L xhsj is the design air volume of the new return air conditioning unit j; F xhj is the actual operating frequency of the fan of the return air air conditioning unit; h xhjj is the inlet air enthalpy value of the new return air conditioning unit j, which is converted according to the real-time monitored inlet air dry bulb temperature and relative humidity; h xhcj is the outlet enthalpy of the new return air conditioning unit j, which is converted based on the real-time monitored outlet dry-bulb temperature and relative humidity;

[0059] The project operating load in the operation phase is:

[0060]

[0061] Where Q r K is the load during the project operation phase, which is obtained by accumulating the operating loads of all air-conditioning terminal devices in operation. When the fans and electric water valves of the air-conditioning terminal devices are both in the open state, their calculated operating loads are included in the statistics. r It is the load correction factor for the project operation phase. It takes 1 for the first operation cycle of the air-conditioning system and takes different values ​​for the remaining operation cycles. It is set according to the overall deviation between the actual return water temperature of the chilled water system monitored in the operation cycle that has occurred and the design return water temperature.

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

[0063] The operation of the chilled water system in the operation phase is based on the existing operation in the pre-cooling phase and is based on the real-time load Q r As the criterion for determining the addition and subtraction machines of chillers;

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

[0065] When Q r >When the currently running chiller unit is in the upper limit of the efficient operation area, Q r Is it ≥ the lower limit of the efficient operation zone of the adjacent combination on the right? If the judgment is established, the unit adjustment is carried out according to the unit configuration of the adjacent combination. If the judgment is not established, the current combination operation is maintained until Q r ≥Lower limit of efficient operation area of ​​adjacent combination on the right or Q r ≥The sum of the maximum cooling capacities of all running chillers, then adjust the units based on the adjacent combinations on the right;

[0066] When Q r <When the current running chiller unit is combined with the lower limit of the efficient operation area, it is judged that Q r Is it ≤ the upper limit of the efficient operation area of ​​the adjacent combination on the left? If the judgment is established, the unit adjustment is carried out according to the unit configuration of the adjacent combination. If the judgment is not established, the current combination operation is maintained until Q r ≤ the upper limit of the efficient operation zone of the adjacent combination on the left or the load borne by any chiller in operation is ≤ the minimum cooling capacity allowed for startup under the preset multiple, then the unit adjustment is performed according to the adjacent combination on the left;

[0067] In the operation phase, when the pre-cooling phase is not started, the operating load at the start of the operation phase is used as the starting load, and the chiller is started according to the method of step S6;

[0068] When adding a B-type chiller, give priority to the B-type chiller with the shortest cumulative operating time;

[0069] When reducing a B-type chiller, the B-type chiller with the longest cumulative operating time shall be reduced first;

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

[0071] According to the start and stop requirements of the chiller, adjust the start and stop of the corresponding chilled water pump, and determine the operating frequency of the corresponding chilled water pump motor according to the load rate of the chiller. When the determined operating frequency is lower than the lower limit frequency of the chilled water pump, the chilled water pump starts and runs at the lower limit frequency.

[0072] On the other hand, a system for executing the aforementioned terminal big data-based comfort air-conditioning chilled water system operation control method is also proposed, which includes: the air-conditioning chilled water system itself and an intelligent centralized controller, wherein the intelligent centralized controller is connected to the sensors of the air-conditioning chilled water system, the air-conditioning terminal equipment field controller, the chiller, the chilled water pump, the cooling system, the cooling water pump, and the electric valve through a communication bus; the intelligent centralized controller includes a storage module, a computing module, a control module, and a display module, wherein,

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

[0074] The calculation module pre-analyzes and processes the basic information of the air conditioning chilled water system in the storage module; it also symbolizes the cooling capacity of the chillers and key operating points and determines the chiller operation combination; it also divides the cooling capacity into high-efficiency operating area segments and stores the processed information back into the storage module;

[0075] The calculation module obtains the monitoring and operating parameters of the air-conditioning chilled water system in real time, and calculates the project load in the pre-cooling stage and the operation stage based on the pre-processed basic information and the monitoring and operating parameters obtained in real time;

[0076] The control module regulates the chilled water system during the pre-cooling phase, controlling the operating status of the chiller or chiller combination based on the comparison between the project's pre-cooling load and the cooling capacity of key operating points. Based on the pre-cooling phase, the control module controls the operating status of the chillers in adjacent high-efficiency operating zones based on the comparison between the real-time load during the operation phase 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 operating status information of the air conditioning chilled water system in real time;

[0078] The control module is also used for sequential start-stop interlock control among the electric water valve, cooling system, chilled water pump, air-conditioning terminal equipment, chilled water pump, and chiller.

[0079] The beneficial effects of the present invention are:

[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 comprehensively considers the real-time outdoor meteorological data and the specific opening amount of the terminal equipment in the project air-conditioning room. It is divided into pre-cooling stage load calculation and operation stage load calculation, and 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 air-conditioned rooms in a timely manner, and can ensure that the load calculation data is accurately matched with the cooling capacity needs of the air-conditioning terminal equipment and air-conditioned rooms, and the control response is fast and the accuracy is high;

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

[0082] (3) The present invention gives full play to the value of collecting and inputting basic project information, processing and inputting basic project information, and regulating the energy-saving operation of the chilled water system by the field controller of the air-conditioning terminal equipment. The regulation content is integrated into the sequential start-stop interlocking control between conventional electric water valves, cooling systems, chilled water pumps, air-conditioning terminal equipment, chilled water pumps, and chillers. It requires few additional equipment, has low cost, and has strong engineering adaptability.

[0083] Other advantages, objects, and features of the present invention will be described in part in the following description and, in part, will be apparent to those skilled in the art upon examination of the following description or may be learned from practice of the present invention. The objects and other advantages of the present invention may be realized and obtained through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0084] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention will be described in detail below with reference to the accompanying drawings, in which:

[0085] Figure 1 This is an overall flow chart of a method for controlling the operation of 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 structural diagram of an operation and control system for a comfort air-conditioning chilled water system based on terminal big data according to an embodiment of the present invention. DETAILED DESCRIPTION

[0087] The following describes the embodiments of the present invention by means of specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways 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 illustrations of the basic concept of the present invention, and the following embodiments and features in the embodiments can be combined with each other without conflict.

[0088] Among them, the accompanying drawings are only for illustrative purposes and represent only schematic diagrams rather than actual pictures, and should not be understood as limiting the present invention. In order to better illustrate the embodiments of the present invention, some parts of the accompanying drawings may be omitted, enlarged or reduced, and do not represent the dimensions of actual products. For those skilled in the art, it is understandable that some well-known structures and their descriptions may be omitted in the accompanying drawings.

[0089] The same or similar numbers in the drawings of the embodiments of the present invention correspond to the same or similar parts; in the description of the present invention, it should be understood that if there are terms such as "upper", "lower", "left", "right", "front", "back", etc. indicating directions or positional relationships, they are based on the directions or positional relationships 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 direction, be constructed and operate in a specific direction. Therefore, the terms describing the positional relationship in the drawings are only used for illustrative purposes and cannot be understood as limiting the present invention. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to specific circumstances.

[0090] See also Figures 1 and 2 , which is a method and system for operating and controlling a comfort air-conditioning chilled water system based on terminal big data.

[0091] Example 1

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

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

[0094] S2. Preliminary analysis and processing of the input basic information of the air-conditioning chilled water system;

[0095] S3. Symbolize the cooling capacity of the chiller and key operating points, and determine the chiller operation combination; at the same time, divide the cooling capacity into high-efficiency operation zones;

[0096] S4. Calculate the load in the pre-cooling stage based on the basic information of the pre-processing and the monitoring operation parameters obtained in real time;

[0097] S5. Regulate the chilled water system during the pre-cooling phase, and control the operating status of the chiller or chiller combination based on the comparison between the project 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 circulate the pre-cooling phase; if yes, enter step S7 to start the operation phase;

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

[0100] S8. On the basis of the pre-cooling stage, the chilled water system is regulated in the operation stage. The operating status of the chillers in the adjacent high-efficiency operation areas is controlled according to the comparison between the real-time load in the operation stage and the cooling capacity of the current high-efficiency operation area and the adjacent high-efficiency operation areas on the left and right sides. The operation stage is cyclically operated 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 air conditioning units, return air air conditioning units, and fresh-return mixed air conditioning units. Basic information such as the aforementioned project information, air-conditioned room information, air conditioning terminal equipment information, chiller information, and chilled water pump information is collected by consulting architectural design drawings, HVAC design drawings, air conditioning load calculations, equipment parameter data, and conducting on-site testing and communication. The collected basic information is stored in a storage module of an 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-conditioning terminal devices, establishing a correspondence between the air-conditioned rooms and the air-conditioning terminal devices, calculating the load on the enclosure structure of the air-conditioned rooms under design conditions, calculating the summer air-conditioned outdoor temperature under design conditions, fitting the relationship between the chiller load rate and the performance coefficient, and calculating the air enthalpy based on the dry-bulb temperature and relative humidity.

[0103] In step S3 of this embodiment, the chiller configuration is modeled as an "N+1" configuration model, that is, N large-scale chillers are paired with one small-scale chiller, the small-scale chiller is named type A chiller, the large-scale chiller is named type B chiller, and accordingly, the minimum cooling capacity allowed to start up by the chiller is named Q Amin , Q Bmin , the lower limit cooling capacity in the high efficiency operation area is named Q Aex , Q Bex , the upper limit cooling capacity of the high efficiency operation area is named Q Aes , Q Bes , and the maximum cooling capacity is named Q Amax , Q Bmax Enter the chiller unit and key operating point cooling capacity code naming information into the intelligent centralized controller storage module.

[0104] The possible chiller combinations that may appear during operation are named A, B, A+B, 2B, A+2B, 3B...A+(N-1)B, NB, A+NB in ​​order of cooling capacity from small to large. The cooling capacity sections of the efficient operation area of ​​each operation combination are 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 between the chillers in each combination is proportionally distributed based on the principle that each chiller is in the high-efficiency zone, and each chiller adjusts its cooling capacity according to the assigned load. If adjacent combinations have overlapping cooling capacities in the high-efficiency operating zone, the chillers in each combination are assigned to the combination with the highest performance coefficient based on the performance coefficient of the overlapping section, and the overlapping section is removed from the high-efficiency operating zone of other combinations. The load rate of the chiller is calculated based on the assigned load of each chiller, and the performance coefficient of the chiller is then calculated based on the fitted relationship between the load rate and performance coefficient. The operating combination code name and the high-efficiency operating zone cooling capacity segment division information are entered into the intelligent centralized controller storage module.

[0105] In this embodiment, real-time monitoring data must be obtained during both the pre-cooling stage and the operation stage. The real-time monitoring operation parameters are obtained by direct sensor monitoring and extraction from a field controller. The monitoring operation parameters obtained by direct sensor monitoring include: outdoor meteorological parameters, including temperature, humidity, and solar radiation illumination; chilled water system parameters, including supply water temperature, return water temperature, and operating flow; chiller operation parameters, including cumulative operating time, start and stop status, cooling capacity, and load rate; and chilled water pump operation parameters, including cumulative operating time, start and stop status, and operating frequency. The monitoring operation parameters extracted from the field controller include: fan coil operation parameters, including inlet air temperature and humidity, fan start and stop status and operating gear, and electric water valve switch status; fresh air air conditioning unit operation parameters, including outlet air temperature and humidity, fan start and stop status and operating frequency, and electric water valve switch status; return air air conditioning unit operation parameters, including inlet air temperature and humidity, outlet air temperature and humidity, fan start and stop status and operating frequency, and electric water valve switch status; new return air mixed air conditioning unit operation parameters, including inlet air temperature and humidity, outlet air temperature and humidity, fan start and stop status and operating frequency, and electric water valve switch 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 enclosure load and the infiltration air volume load, and is calculated according to the following method:

[0107] (1) Calculation of enclosure structure load

[0108]

[0109] Where Q wyi is the enclosure load of room i during the precooling stage; t zy Calculate the outdoor comprehensive temperature in real time; yi is the pre-cooling temperature of room i; t zs is the outdoor comprehensive temperature under design conditions; t si is the design temperature of room i; Q wsiis the load of the enclosure structure under the design condition of room i; t sh is the outdoor real-time temperature; ρ is the absorption coefficient of the outer surface of the enclosure structure for solar radiation heat; α w is the heat transfer coefficient of the outer surface of the enclosure structure; J sh is the solar radiation illuminance.

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

[0111]

[0112] L sti =V i ×n i

[0113] Where Q sti is the infiltration air load of room i during the pre-cooling stage; L sti is the infiltration air volume of room i during the pre-cooling stage; ρ air is the air density. In this embodiment, the air density is 1.2; h sh is the real-time enthalpy value of outdoor air, which is converted based on the real-time monitored outdoor air dry-bulb temperature and relative humidity; h yi is the indoor air enthalpy value of room i during the pre-cooling stage, which is converted according to the set dry bulb temperature and relative humidity; V i is the volume of room i; n i The number of infiltration air ventilation times in room i during the pre-cooling phase is manually set and can be adjusted according to operating conditions.

[0114] (3) Calculation of project pre-cooling load

[0115]

[0116] Where W y K is the pre-cooling load of the project, which is obtained by accumulating the pre-cooling load of each room and multiplying it by the correction coefficient; y It is the project pre-cooling load correction coefficient. It takes 1 for the first operation cycle of the air-conditioning system and takes different values ​​for the remaining operation cycles. It is set according to the overall deviation between the actual return water temperature of the chilled water system monitored in the operation cycle that has occurred and the return water temperature design value.

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

[0118] According to the calculated project pre-cooling load, the project pre-cooling load Q y As the starting load of the pre-cooling stage, no adding or subtracting operation is performed during the entire pre-cooling stage;

[0119] When Q y Amin ​When the chiller is turned on, the project does not perform pre-cooling;

[0120] When Q Amin ≤Q y Aex When the time comes, start chiller A and the project will be pre-cooled;

[0121] When Q Aex ≤Q y When Q y Determine the chiller combination based on the cooling capacity section of the efficient operation area and start the corresponding chiller for pre-cooling;

[0122] According to the chiller that needs to be started, the start of the corresponding chilled water pump is determined, and the operating frequency of the chilled water pump motor is determined according to the load rate of the chiller. When the determined operating frequency is lower than the lower limit frequency of the chilled water pump, the chilled water pump starts and runs at the lower limit frequency.

[0123] In step S6 of this embodiment, it is determined whether to enter the operation phase. If not, the process returns to step S4 to circulate the pre-cooling phase. If so, the process proceeds to step S7. Whether to enter the operation phase from the pre-cooling phase can be determined 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 the fan coil unit, the fresh air air conditioning unit, the return air air conditioning unit, and the fresh and return air mixed air conditioning unit, and is calculated respectively according to the following method:

[0125] (1) Fan coil unit operating load calculation

[0126]

[0127] Where Q frj is the operating load of fan coil unit j; L fyj is the operating air volume of fan coil unit j, which is automatically called from the storage module of the intelligent centralized controller according to the operating wind speed level; L fyj is the design air volume of fan coil unit j; h frj is the air enthalpy value at the inlet state point of the fan coil unit j, which is converted based on the real-time monitored inlet air dry-bulb temperature and relative humidity; h sb h is the air enthalpy value at the design supply temperature of chilled water and relative humidity of 100%; fsj Q is the enthalpy value corresponding to the temperature and humidity of the inlet air state point under the design condition of fan coil unit j; fsj is the cooling capacity of fan coil unit j under design conditions.

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

[0129] ​

[0130] Where Q xrj is the operating load of fresh air air conditioning unit j; L xsj is the design air volume of fresh air air conditioning unit j, "50" is the rated operating frequency of the fan, which is a common value in this field and is generally taken as 50; F xj is the actual operating frequency of the fan of the fresh air air conditioning unit; h sh is the real-time enthalpy value of outdoor air, which is converted based on the real-time monitored outdoor air dry-bulb temperature and relative humidity; h xcj is the outlet air enthalpy value of fresh air air conditioning unit j, which is converted according to the real-time monitored outlet air dry-bulb temperature and relative humidity.

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

[0132]

[0133] Where Q hrj is the operating load of return air conditioning unit j; L hsj is the design air volume of return air conditioning unit j; F hj is the actual operating frequency of the fan of the return air air conditioning unit; h hjj is the inlet air enthalpy value of return air conditioning unit j, which is converted according to the real-time monitored inlet air dry bulb temperature and relative humidity; h hcj is the outlet air enthalpy value of return air conditioning unit j, which is converted according to the real-time monitored outlet air dry-bulb temperature and relative humidity.

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

[0135]

[0136] Where Q xhrj is the operating load of the new return air air conditioning unit j; L xhsj is the design air volume of the new return air conditioning unit j; F xhj is the actual operating frequency of the fan of the return air air conditioning unit; h xhjj is the inlet air enthalpy value of the new return air conditioning unit j, which is converted according to the real-time monitored inlet air dry bulb temperature and relative humidity; h xhcj is the outlet air enthalpy value of the new return air air conditioning unit j, which is converted according to the real-time monitored outlet air dry-bulb temperature and relative humidity.

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

[0138]

[0139] Where Q rK is the load during the project operation phase, which is obtained by accumulating the operating loads of all air-conditioning terminal devices in operation. When the fans and electric water valves of the air-conditioning terminal devices are both in the open state, their calculated operating loads are included in the statistics. r It is the load correction factor for the project operation phase. It takes 1 for the first operation cycle of the air-conditioning system and takes different values ​​for the remaining operation cycles. It is set according to the overall deviation between the actual return water temperature of the chilled water system monitored in the operation cycle that has occurred and the design return water temperature.

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

[0141] The operation of the chilled water system in the operation phase is based on the existing operation in the pre-cooling phase and is based on the real-time load Q r As the criterion for determining the addition and subtraction machines of chillers;

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

[0143] When Q r >When the currently running chiller unit is in the upper limit of the efficient operation area, Q r Is it ≥ the lower limit of the efficient operation zone of the adjacent combination on the right? If the judgment is established, the unit adjustment is carried out according to the unit configuration of the adjacent combination. If the judgment is not established, the current combination operation is maintained until Q r ≥Lower limit of efficient operation area of ​​adjacent combination on the right or Q r ≥The sum of the maximum cooling capacities of all running chillers, then adjust the units based on the adjacent combinations on the right;

[0144] When Q r <When the current running chiller unit is combined with the lower limit of the efficient operation area, it is judged that Q r Is it ≤ the upper limit of the efficient operation area of ​​the adjacent combination on the left? If the judgment is established, the unit adjustment is carried out according to the unit configuration of the adjacent combination. If the judgment is not established, the current combination operation is maintained until Q r ≤ the upper limit of the high-efficiency operation zone of the adjacent combination on the left or the load borne by any chiller in operation is ≤ 1.1 times the minimum cooling capacity allowed for startup, then the unit adjustment shall be made according to the adjacent combination on the left;

[0145] If the pre-cooling stage is not started, the operating load at the start of the operation stage is used as the starting load, and the chiller is started according to the method of step S6;

[0146] When adding a B-type chiller, give priority to the B-type chiller with the shortest cumulative operating time;

[0147] When reducing a B-type chiller, the B-type chiller with the longest cumulative operating time shall be reduced first;

[0148] The single operation time of each chiller shall not be less than 20 minutes;

[0149] According to the start and stop requirements of the chiller, adjust the start and stop of the corresponding chilled water pump, and determine the operating frequency of the corresponding chilled water pump motor according to the load rate of the chiller. When the determined operating frequency is lower than the lower limit frequency of the chilled water pump, the chilled water pump starts and runs at the lower limit frequency.

[0150] Example 2

[0151] This embodiment provides a terminal big data-based comfort air-conditioning chilled water system operation control system based on the method of embodiment 1, which includes: the air-conditioning chilled water system itself and an intelligent centralized controller, wherein the intelligent centralized controller is connected to the sensors of the air-conditioning chilled water system, the air-conditioning terminal equipment field controller, the chiller, the chilled water pump, the cooling system, the cooling water pump, and the electric valve via a communication bus; the intelligent centralized controller includes a storage module, a computing module, a control module, and a display module, wherein,

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

[0153] The calculation module pre-analyzes and processes the basic information of the air conditioning chilled water system in the storage module; it also symbolizes the cooling capacity of the chillers and key operating points and determines the chiller operation combination; it also divides the cooling capacity into high-efficiency operating area segments and stores the processed information back into the storage module;

[0154] The calculation module obtains the monitoring and operating parameters of the air-conditioning chilled water system in real time, and calculates the project load in the pre-cooling stage and the operation stage based on the pre-processed basic information and the monitoring and operating parameters obtained in real time;

[0155] The control module regulates the chilled water system during the pre-cooling phase, controlling the operating status of the chiller or chiller combination based on the comparison between the project's pre-cooling load and the cooling capacity of key operating points. Based on the pre-cooling phase, the control module controls the operating status of the chillers in adjacent high-efficiency operating zones based on the comparison between the real-time load during the operation phase 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 displays the operating status information of the air conditioning chilled water system in real time.

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

[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 limiting. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solutions, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for controlling the operation of a comfort air-conditioning chilled water system based on terminal big data, characterized by: The method comprises: S1. Pre-enter the basic information of the air-conditioning chilled water system, including at least basic project information, air-conditioned room information, air-conditioning terminal equipment information, chiller information, and chilled water pump information; S2. Preliminary analysis and processing of the input basic information of the air-conditioning chilled water system; S3. Symbolize the cooling capacity of the chiller and key operating points, and determine the chiller operation combination; at the same time, divide the cooling capacity into high-efficiency operation zones; S4. Calculate the load in the pre-cooling stage based on the basic information of the pre-processing and the monitoring operation parameters obtained in real time; S5. Regulate the chilled water system during the pre-cooling phase, and control the operating status of the chiller or chiller combination based on the comparison between the project 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 circulate the pre-cooling phase; if yes, enter step S7 to start the operation phase; S7. Calculate the load during the operation phase based on the pre-processed basic information and the real-time acquired monitoring operation parameters; S8. On the basis of the pre-cooling stage, the chilled water system is regulated in the operation stage. The operating status of the chillers in the adjacent high-efficiency operation areas is controlled according to the comparison between the real-time load in the operation stage and the cooling capacity of the current high-efficiency operation area and the adjacent high-efficiency operation areas on the left and right sides. The operation stage is cyclically operated until the end.

2. The method for controlling the operation of a comfort air-conditioning chilled water system based on terminal big data according to 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 return air mixed air-conditioning units; Collect basic project information, air-conditioned room information, air-conditioning terminal equipment information, chiller information, and chilled water pump information by consulting architectural design drawings, HVAC design drawings, air-conditioning load calculations, equipment parameter data, and on-site testing and communication; The collected basic information is stored in a storage module of an intelligent centralized controller for controlling an air conditioning chilled water system.

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

4. The method for controlling the operation of a comfort air-conditioning chilled water system based on terminal big data according to claim 3 is characterized in that: In step S3, the chiller configuration is modeled as an "N+1" configuration model, that is, N large-scale chillers are paired with one small-scale chiller. The small-scale chiller is named type A chiller, and the large-scale chiller is named type B chiller. The minimum cooling capacity allowed to start up by the chillers is named Q and B, respectively. Amin , Q Bmin , the lower limit cooling capacity in the high efficiency operation area is named Q Aex , Q Bex , the upper limit cooling capacity of the high efficiency operation area is named Q Aes , Q Bes , and the maximum cooling capacity is named Q Amax , Q Bmax ; Enter the chiller unit and key operating point cooling capacity code naming information into the intelligent centralized controller storage module; The possible chiller combinations that may appear during operation are named A, B, A+B, 2B, A+2B, 3B...A+(N-1)B, NB, A+NB in ​​order of cooling capacity from small to large. The cooling capacity sections of the efficient operation area of ​​each operation combination are 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 Bes The load distribution between the chillers in each combination is proportionally distributed based on the principle that each chiller is in the high-efficiency zone, and each chiller adjusts its cooling capacity according to the assigned load. If there is overlap in the cooling capacity of the high-efficiency operating zone of adjacent combinations, the chillers in each combination will be assigned to the combination with the highest performance coefficient based on the performance coefficient of the overlapping section, and the overlapping section will be removed from the high-efficiency operating zone of other combinations. Calculate the load rate of the chiller according to the load assigned to each chiller, and then calculate the performance coefficient of the chiller according to the fitting relationship between the load rate and the performance coefficient; The operation combination code name and the high-efficiency operation area cooling capacity segment division information are entered into the intelligent centralized controller storage module.

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

6. The method for controlling the operation of a comfort air-conditioning chilled water system based on terminal big data according to claim 5 is characterized in that: In step S4, the fresh air system is not turned on during the pre-cooling stage. The cooling load during the pre-cooling stage only includes the enclosure load and the infiltration air volume load. The calculation method for each load is: Enclosure structure load: Where Q wyi is the enclosure load of room i during the precooling stage; t zy Calculate the outdoor comprehensive temperature in real time; yi is the pre-cooling temperature of room i; t zs is the outdoor comprehensive temperature under design conditions; t si is the design temperature of room i; Q wsi is the load of the enclosure structure under the design condition of room i; t sh is the outdoor real-time temperature; ρ is the absorption coefficient of the outer surface of the enclosure structure for solar radiation heat; α w is the heat transfer coefficient of the outer surface of the enclosure structure; J sh is the solar radiation illuminance; Infiltration air load: L sti =V i ×n i Where Q sti is the infiltration air load of room i during the pre-cooling stage; L sti is the infiltration air volume of room i during the pre-cooling stage; ρ air Indicates air density; h sh is the real-time enthalpy value of outdoor air; h yi is the indoor air enthalpy value of room i during the precooling stage; V i is the volume of room i; n i is the number of ventilation changes of infiltration air in room i during the pre-cooling stage; The pre-cooling load of the project in the pre-cooling stage is: Where Q y is the pre-cooling load of the project, which is obtained by accumulating the pre-cooling load of each room and multiplying it by the correction coefficient. N is the total number of rooms. K y It is the project pre-cooling load correction coefficient. It takes 1 for the first operation cycle of the air-conditioning system and takes different values ​​for the remaining operation cycles. It is set according to the overall deviation between the actual return water temperature of the chilled water system monitored in the operation cycle that has occurred and the return water temperature design value.

7. The method for controlling the operation of a comfort air-conditioning chilled water system based on terminal big data according to claim 6, characterized in that: In step S5, the chilled water system startup and control process in the pre-cooling stage is as follows: Take the project pre-cooling load Q y As the starting load of the pre-cooling stage, no adding or subtracting operation is performed during the entire pre-cooling stage; When Q y Amin When the chiller is turned on, the project does not perform pre-cooling;​ When Q Amin ≤Q y Aex When the time comes, start chiller A and the project will be pre-cooled;​ When Q Aex ≤Q y When Q y Determine the chiller combination based on the cooling capacity section of the efficient operation area and start the corresponding chiller for pre-cooling; According to the chiller that needs to be started, the start of the corresponding chilled water pump is determined, and the operating frequency of the chilled water pump motor is determined according to the load rate of the chiller. When the determined operating frequency is lower than the lower limit frequency of the chilled water pump, the chilled water pump starts and runs at the lower limit frequency.

8. The method for controlling the operation of a comfort air-conditioning chilled water system based on terminal big data according to claim 5 is characterized in that: In step S7, the cooling load in the operation phase includes the operating loads of the fan coil unit, the fresh air air conditioning unit, the return air air conditioning unit, and the fresh return air mixed air conditioning unit, and the load calculation methods are as follows: Fan coil unit operating load: Where W frj is the operating load of fan coil unit j; L fyj is the operating wind speed of fan coil unit j; L fyj is the design air volume of fan coil unit j; h frj is the air enthalpy value at the air inlet state point of fan coil unit j; h sb h is the air enthalpy value at the design supply temperature of chilled water and relative humidity of 100%; fsj Q is the enthalpy value corresponding to the temperature and humidity of the inlet air state point under the design condition of fan coil unit j; fsj is the cooling capacity of fan coil unit j under design conditions; Fresh air air conditioning unit operating load: Where Q xhrj is the operating load of the new return air air conditioning unit j; L xhsj is the design air volume of the new return air conditioning unit j; ρ air is the air density, "50" is the rated operating frequency of the fan; F xhj is the actual operating frequency of the fan of the return air air conditioning unit; h xhjj is the inlet air enthalpy of the new return air conditioning unit j; h xhcj is the outlet enthalpy of the new return air air conditioning unit j; Return air air conditioning unit operating load calculation: Where Q hrj is the operating load of return air conditioning unit j; L hsj is the design air volume of return air conditioning unit j; F hj is the actual operating frequency of the fan of the return air air conditioning unit; h hjj is the inlet air enthalpy value of return air conditioning unit j, which is converted according to the real-time monitored inlet air dry bulb temperature and relative humidity; h hcj is the outlet air enthalpy value of return air conditioning unit j, which is converted according to the real-time monitored outlet air dry-bulb temperature and relative humidity; Calculation of operating load of fresh-return air mixing air-conditioning unit: Where Q xhrj is the operating load of the new return air air conditioning unit j; L xhsj is the design air volume of the new return air conditioning unit j; F xhj is the actual operating frequency of the fan of the return air air conditioning unit; h xhjj is the inlet air enthalpy value of the new return air conditioning unit j, which is converted according to the real-time monitored inlet air dry bulb temperature and relative humidity; h xhcj is the outlet enthalpy of the new return air conditioning unit j, which is converted based on the real-time monitored outlet dry-bulb temperature and relative humidity; The project operating load in the operation phase is: Where Q r K is the load during the project operation phase, which is obtained by accumulating the operating loads of all air-conditioning terminal devices in operation. When the fans and electric water valves of the air-conditioning terminal devices are both in the open state, their calculated operating loads are included in the statistics. r It is the load correction factor for the project operation phase. It takes 1 for the first operation cycle of the air-conditioning system and takes different values ​​for the remaining operation cycles. It is set according to the overall deviation between the actual return water temperature of the chilled water system monitored in the operation cycle that has occurred and the design return water temperature.

9. The method for controlling the operation of a comfort air-conditioning chilled water system based on terminal big data according to claim 8, characterized in that: In step S8, the chilled water system operation control process in the operation phase is as follows: The operation of the chilled water system in the operation phase is based on the existing operation in the pre-cooling phase and is based on the real-time load Q r As the criterion for determining the addition and subtraction machines of chillers; Calculate the real-time load Q during the project operation phase r ; When Q r >When the currently running chiller unit is in the upper limit of the efficient operation area, Q r Is it ≥ the lower limit of the efficient operation zone of the adjacent combination on the right? If the judgment is established, the unit adjustment is carried out according to the unit configuration of the adjacent combination. If the judgment is not established, the current combination operation is maintained until Q r ≥Lower limit of efficient operation area of ​​adjacent combination on the right or Q r ≥The sum of the maximum cooling capacities of all running chillers, then adjust the units based on the adjacent combinations on the right; When Q r <When the current running chiller unit is combined with the lower limit of the efficient operation area, it is judged that Q r Is it ≤ the upper limit of the efficient operation area of ​​the adjacent combination on the left? If the judgment is established, the unit adjustment is carried out according to the unit configuration of the adjacent combination. If the judgment is not established, the current combination operation is maintained until Q r ≤ the upper limit of the efficient operation zone of the adjacent combination on the left or the load borne by any chiller in operation is ≤ the minimum cooling capacity allowed for startup under the preset multiple, then the unit adjustment is performed according to the adjacent combination on the left; In the operation phase, when the pre-cooling phase is not started, the operating load at the start of the operation phase is used as the starting load, and the chiller is started according to the method of step S6; When adding a B-type chiller, give priority to the B-type chiller with the shortest cumulative operating time; When reducing a B-type chiller, the B-type chiller with the longest cumulative operating time shall be reduced first; The single operation time of each chiller shall not be less than the prescribed minimum time; According to the start and stop requirements of the chiller, adjust the start and stop of the corresponding chilled water pump, and determine the operating frequency of the corresponding chilled water pump motor according to the load rate of the chiller. When the determined operating frequency is lower than the lower limit frequency of the chilled water pump, the chilled water pump starts and runs at the lower limit frequency.

10. A system for executing the method for controlling the operation of a comfort air-conditioning chilled water system based on terminal big data according to any one of claims 1 to 9, characterized in that: It includes: The air conditioning chilled water system itself and the intelligent centralized controller, wherein the intelligent centralized controller is connected to the sensors of the air conditioning chilled water system, the air conditioning terminal equipment field controller, the chiller, the chilled water pump, the cooling system, the cooling water pump, and the electric valve through the communication bus; the intelligent centralized controller includes a storage module, a calculation module, a control module, and a display module, wherein, The storage module is used to store basic information of the air-conditioning chilled water system, including at least basic project information, air-conditioned room information, air-conditioning terminal equipment information, chiller information, and chilled water pump information; The calculation module pre-analyzes and processes the basic information of the air conditioning chilled water system in the storage module; it also symbolizes the cooling capacity of the chillers and key operating points and determines the chiller operation combination; it also divides the cooling capacity into high-efficiency operating area segments and stores the processed information back into the storage module; The calculation module obtains the monitoring and operating parameters of the air-conditioning chilled water system in real time, and calculates the project load in the pre-cooling stage and the operation stage based on the pre-processed basic information and the monitoring and operating parameters obtained in real time; The control module regulates the chilled water system during the pre-cooling phase, controlling the operating status of the chiller or chiller combination based on the comparison between the project's pre-cooling load and the cooling capacity of key operating points. Based on the pre-cooling phase, the control module controls the operating status of the chillers in adjacent high-efficiency operating zones based on the comparison between the real-time load during the operation phase 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 operating status information of the air conditioning chilled water system in real time; The control module is also used for sequential start-stop interlock control among the electric water valve, cooling system, chilled water pump, air-conditioning terminal equipment, chilled water pump, and chiller.

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