Intelligent humidity and temperature deviation energy-saving control system of central air conditioner

Abstract

The utility model provides an intelligent humidity and temperature deviation energy-saving control system for a central air conditioner, which comprises an energy-saving server and air conditioner energy-saving control devices, and a plurality of air conditioner energy-saving control devices are in communication connection with the energy-saving server. The air conditioner energy-saving control device comprises a multi-working-condition enthalpy and humidity diagram partitioning module and a region target control optimization calculation module. The multi-working-condition enthalpy-humidity diagram partitioning module and the region target control optimization calculation module are configured to obtain dynamic real-time enthalpy-humidity diagrams under different working conditions, and divide the dynamic real-time enthalpy-humidity diagrams into different target regions; and calculating states a and b through a PID algorithm in the target area, and taking a midpoint state c of a connecting line of the states a and b as a state point after mixing. The intelligent humidity and temperature deviation energy-saving control system of the central air conditioner adapts to special requirements of the control system of the central air conditioner by adjusting PID (Proportion Integration Differentiation) parameters.

Description

TECHNICAL FIELD

[0001] The utility model relates to the field of air conditioning temperature and humidity regulation, and particularly relates to a central air conditioning intelligent humidity and temperature deviation energy-saving control system. BACKGROUND

[0002] Limitations of traditional control technology: mainly rely on fixed set value control, feedback ability is limited within the process allowable deviation range, causes additional energy consumption, and requires higher operation precision and operation stability, which reduces the flexibility of the whole system. Although the temperature and humidity can be kept within the process allowable deviation range, the accuracy needs to be improved, resulting in high energy consumption. Due to hardware limitations, it may not be possible to implement more detailed control strategies, such as using a table cooling valve to control the opening of multiple table coolers. The introduction of fresh air will bring additional heat and humidity load, increasing the energy consumption of the air conditioning system, but there is no effective strategy to control it. The existing host computer monitoring system has limited functions and cannot provide sufficient data analysis, greatly limiting the intelligent degree of the system. The system is relatively complex in maintenance and debugging, especially when the system needs to be upgraded, professional technical personnel are required to intervene, and the maintenance cost is high. UTILITY MODEL CONTENT

[0003] The utility model aims at providing a central air conditioning intelligent humidity and temperature deviation energy-saving control system, which aims at solving the above technical problems.

[0004] Specifically, a central air conditioning intelligent humidity and temperature deviation energy-saving control system is proposed, which comprises:

[0005] An energy-saving server,

[0006] An air conditioning energy-saving control device, a plurality of air conditioning energy-saving control devices are in communication connection with the energy-saving server; the air conditioning energy-saving control device comprises a multi-working-condition enthalpy-humidity chart partition module and a regional target control optimization calculation module; the multi-working-condition enthalpy-humidity chart partition module and the regional target control optimization calculation module are configured to:

[0007] Obtain dynamic real-time enthalpy-humidity charts under different working conditions, and divide the dynamic real-time enthalpy-humidity charts into different target regions;

[0008] Calculate states a and b in the target region through a PID algorithm, and take the midpoint state c of the connecting line of the states a and b as a mixed state point;

[0009] Obtaining the equal humidity lines of states a, b and c, and the equal dry bulb temperature line and the equal enthalpy line of states a and c, taking the intersection of the equal humidity line and the equal dry bulb temperature line of state a as the center, and the center passing through the equal relative temperature lines of states a, b and c; drawing a quadrilateral interval surface which is perpendicular to the equal enthalpy line space, wherein the first pair of edges of the quadrilateral has a length difference of the equal dry bulb temperature line of states a and c, and the second pair of edges of the quadrilateral has a length difference of 2 times the difference of the equal enthalpy line of states a and c;

[0010] Obtaining the difference of the equal dry bulb temperature line of states a and c and the ratio of the equal enthalpy line of states a and c, and performing equal temperature dehumidification processing on the center to construct a new floating value center, based on the floating value center, and reducing the length of the two pairs of edges of the quadrilateral interval surface by the equal ratio, taking the further optimized quadrilateral interval surface as the control range floating interval of the target region.

[0011] As a preferred technical solution, the air conditioning energy-saving control device is provided with two groups, which are a first air conditioning energy-saving control device and a second air conditioning energy-saving control device, the first port of the first air conditioning energy-saving control device is connected to a first air conditioning unit, a second air conditioning unit, a third air conditioning unit and an Nth air conditioning unit are connected in series, each air conditioning unit is provided with an air conditioner body controller, the Nth air conditioning unit is connected to the second port of the second air conditioning energy-saving control device, and the second port of the first air conditioning energy-saving control device and the first port of the second air conditioning energy-saving control device are connected.

[0012] Each air conditioning unit is provided with an air conditioner body controller, and the energy-saving server and the air conditioner body controller can interact with the air conditioner body controller in a polling mode to exchange operation data.

[0013] As a preferred technical solution, the air conditioning energy-saving control device controls a group of air conditioning units, and the air conditioning units include a new return air mixing section, a self-cleaning high-efficiency filtering section, a surface cooling water blocking section, a heating section, a dry steam humidifying section and a supply fan section arranged in sequence.

[0014] As a preferred technical solution, the new return air mixing section includes a fresh air door and a return air door.

[0015] As a preferred technical solution, the self-cleaning high-efficiency filtering section includes a casing, a filter screen assembly, a dirt suction device, a rotary motor and a dirt discharging device.

[0016] As a preferred technical solution, the surface cooling water blocking section is provided with three groups of surface coolers and is equipped with a cold water electric valve, and the heating section is equipped with a heating electric valve.

[0017] As a preferred technical solution, the dry steam humidifying section is equipped with a humidifying electric valve, the power of the supply fan of the supply fan section is 75KW, and the air volume of the return fan is 120000m3 / h.

[0018] As a preferred technical scheme, the data acquisition and monitoring control device is further provided with two groups of data acquisition and monitoring control devices.

[0019] As a preferred technical scheme, the two groups of data acquisition and monitoring control devices are respectively a first data acquisition and monitoring control device and a second data acquisition and monitoring control device; the first data acquisition and monitoring control device is connected with the first air conditioner energy-saving control device and the second air conditioner energy-saving control device, and the second data acquisition and monitoring control device is connected with the first air conditioner energy-saving control device and the second air conditioner energy-saving control device.

[0020] As a preferred technical scheme, the data acquisition and monitoring control device is further provided with two groups of data acquisition and monitoring control devices.

[0021] The beneficial effect of the utility model is: this central air conditioning intelligence wet temperature deviation energy-saving control system adjusts PID parameter, to adapt to the special demand of central air conditioning control system, simultaneously on the basis of PID algorithm utilizes dynamic real-time enthalpy humidity chart, and through the optimization algorithm on dynamic real-time enthalpy humidity chart, further optimizes the control range floating interval of this target area, promotes the temperature and humidity control precision, and it is convenient to make the best control strategy in later period. On the basis of PID algorithm utilizes dynamic real-time enthalpy humidity chart can better handle nonlinear problem, so that indoor temperature and humidity have relatively gentle change trend, promote the stability of energy-saving control system. BRIEF DESCRIPTION OF DRAWINGS

[0022] In order to more clearly illustrate the technical scheme of the embodiment of the utility model, the following will be briefly introduced to the drawing needed to be used in the embodiment, should understand, the following drawing only shows some certain embodiment of the utility model, therefore should not be regarded as the limited scope, for the ordinary skilled person in the art, under the premise of not paying the creative labor, can also obtain other related drawings according to these drawings.

[0023] Figure 1 It is an energy-saving server and air conditioner control network connection structure schematic view of a central air conditioning intelligence wet temperature deviation energy-saving control system of the utility model embodiment;

[0024] Figure 2 It is a method flow chart of PID algorithm combined with dynamic real-time enthalpy humidity chart optimization algorithm in the control method of a central air conditioning intelligence wet temperature deviation energy-saving control system of the utility model embodiment;

[0025] Figure 3The function module connection schematic view of the air conditioning energy-saving control device in the central air conditioner intelligent wet and temperature deviation energy-saving control system;

[0026] Figure 4 The control range floating interval schematic view after the control parameter is dynamically optimized by the PID algorithm combined with the dynamic real-time enthalpy-humidity chart optimization algorithm in the control method of the central air conditioner intelligent wet and temperature deviation energy-saving control system;

[0027] Figure 5 The enthalpy-humidity chart control path performance form and running energy consumption schematic view after the auxiliary optimization algorithm is combined in the control method of the central air conditioner intelligent wet and temperature deviation energy-saving control system;

[0028] Figure 6 The enthalpy-humidity chart control path performance form and running energy consumption schematic view after the auxiliary optimization algorithm is combined in the control method of the central air conditioner intelligent wet and temperature deviation energy-saving control system;

[0029] Figure 7 The air conditioning unit structure schematic view of the central air conditioner intelligent wet and temperature deviation energy-saving control system;

[0030] Figure 8 The table cooler improved structure schematic view of the central air conditioner intelligent wet and temperature deviation energy-saving control system.

[0031] Icon: energy-saving server 110; air conditioning energy-saving control device 120; air conditioning unit 130; data acquisition and monitoring control device 140; operator station 150;

[0032] Multi-working condition enthalpy-humidity chart partition module 121; regional target control optimization calculation module 122; boundary state control optimization calculation module 123; wet balance state control optimization calculation module 124; composite humidification state optimization calculation module 125; dehumidification out-of-control state optimization calculation module 126; process path optimization calculation module 127; table cooler temperature and humidity separate control calculation module 129; real-time control enthalpy-humidity chart interactive module 128;

[0033] New return air mixing section 131; self-cleaning high-efficiency filter section 132; table cooling water blocking section 133; heating section 134; dry steam humidification section 135; air supply fan section 136. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme of the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings herein can be arranged and designed in various different configurations.

[0035] Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative labor are within the scope of protection of the present application.

[0036] It should be noted that: similar reference numbers and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0037] Example implementations will now be described with reference to the drawings; however, example implementations can be implemented in many different forms and should not be construed as limited to the examples set forth herein; rather, these implementations are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example implementations to those skilled in the art.

[0038] In addition, the described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the application. One skilled in the relevant art will recognize, however, that the application can be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known structures, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the application.

[0039] The block diagrams shown in the drawings are merely functional entities, and do not necessarily have to correspond to physically independent entities. That is, these functional entities can be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0040] The flowcharts shown in the drawings are only exemplary illustrations, and do not necessarily include all contents and operations / steps, nor do they have to be executed in the order described. For example, some operations / steps can be further decomposed, and some operations / steps can be combined or partially combined, so the actual execution order can be changed according to the actual situation.

[0041] The central air conditioning intelligent humidity and temperature deviation energy-saving control method in this solution can be widely used in the following fields.

[0042] For example, tobacco industry production environment control: in the workshop of the production site of the tobacco factory, the system is used to finely control the temperature and humidity, improve the product quality, and realize energy saving and emission reduction.

[0043] Industrial manufacturing: in the industrial manufacturing environment that needs to control temperature and humidity, especially in the precision machining industry, the intelligent temperature and humidity deviation control technology is used to ensure the quality of product production.

[0044] Commercial buildings and public places: the system can be used to optimize energy use and reduce operating costs.

[0045] Agricultural greenhouse: the temperature and humidity deviation control technology is used to optimize the plant growth environment and improve crop yield and quality.

[0046] Cold chain logistics, food processing and storage: the temperature and humidity deviation control technology is used to ensure the quality of goods during transportation and reduce loss.

[0047] Smart home: by integrating the temperature and humidity deviation control technology, the living comfort is improved and energy is saved.

[0048] And so on.

[0049] First embodiment

[0050] This embodiment provides a central air conditioning intelligent humidity and temperature deviation energy-saving control system, please refer to Figure 1 and Figure 2 , which comprises: an energy-saving server 110, a plurality of air conditioning energy-saving control devices 120, and the plurality of air conditioning energy-saving control devices 120 are in communication connection with the energy-saving server 110.

[0051] In the embodiment, the air conditioning energy-saving control device 120 is provided with two groups, that is, a first air conditioning energy-saving control device 120 and a second air conditioning energy-saving control device 120, the first port of the first air conditioning energy-saving control device 120 is connected to the first air conditioning unit 130, the second air conditioning unit 130, the third air conditioning unit 130, the Nth air conditioning unit 130 are connected in series, each air conditioning unit 130 is provided with an air conditioning body controller, the Nth air conditioning unit 130 is connected to the second port of the second air conditioning energy-saving control device 120, the second port of the first air conditioning energy-saving control device 120 and the first port of the second air conditioning energy-saving control device 120 are connected, the upper energy-saving server 110 and the lower air conditioning body controller energy-saving control software, the energy-saving server 110 and the air conditioning body controller adopt a polling mode to interact with the air conditioning body controller for running data, and on the basis of optimization of the air conditioning energy-saving control device 120, the PLC control program of the air conditioning body controller also needs to be updated synchronously to support a new control strategy. The software function of the upper computer monitoring system is upgraded to cooperate with the intelligent energy-saving monitoring system.

[0052] Each air conditioning unit 130 in the embodiment is provided with an air conditioning body controller, and the structure of each air conditioning unit 130 can be referred to Figure 7 , which comprises a new return air mixing section 131, a self-cleaning high-efficiency filtering section 132, a surface cooling water blocking section 133, a heating section 134, a dry steam humidifying section 135 and an air supply fan section 136 arranged in sequence. Among them, Figure 5 , the whole air conditioning unit structure is shown, the flow direction of the air in the unit is from left to right, the new return air mixing section 131 comprises a fresh air door and a return air door. The self-cleaning high-efficiency filtering section 132 is composed of a casing, a filter screen assembly, a dirt suction device, a rotary motor, a dirt discharge device and a control system. The surface cooling water blocking section 133 is provided with three groups of surface coolers, equipped with cold water electric valves, the heating section 134 is equipped with heating electric valves. The dry steam humidifying section 135 is equipped with humidifying electric valves, the air supply fan of the air supply fan section 136 has a power of 75 KW, and the return air fan has an air volume of 120000 m 3 / h.

[0053] The energy-saving server 110 and any one air conditioning energy-saving control device 120 are in communication connection, in order to further improve the system stability of the central air conditioning intelligent wet and temperature deviation energy-saving control system, the system can also replace the traditional temperature and humidity sensor with an intelligent sensor, preferably with a remote calibration function, to reduce the maintenance workload.

[0054] The central air conditioner intelligent wet and temperature deviation energy-saving control system further comprises data acquisition and monitoring control devices 140 (SCADA), two data acquisition and monitoring control devices 140 are also provided in the embodiment, which are a first data acquisition and monitoring control device 140 and a second data acquisition and monitoring control device 140, wherein the two groups of data acquisition and monitoring control devices 140 are cross-fed to the two groups of air conditioner energy-saving control devices 120, that is, the first data acquisition and monitoring control device 140 is connected to the first air conditioner energy-saving control device 120 and the second air conditioner energy-saving control device 120, and the second data acquisition and monitoring control device 140 is also connected to the first air conditioner energy-saving control device 120 and the second air conditioner energy-saving control device 120. The first data acquisition and monitoring control device 140 is in communication connection with the first operator station 150, and the second data acquisition and monitoring control device 140 is in communication connection with the second operator station 150, for presenting the real-time control enthalpy-humidity chart interactive module 128 to the operator for display or control.

[0055] The air conditioner energy-saving control device 120 improves the control precision and reduces the energy consumption of the air conditioner through an optimization algorithm, which comprises a multi-working-condition enthalpy-humidity chart partition module 121 and a regional target control optimization calculation module 122. The two optimization calculation modules optimize the control parameters through a PID algorithm combined with a dynamic real-time enthalpy-humidity chart optimization algorithm.

[0056] Specifically, the multi-working-condition enthalpy-humidity chart partition module 121 and the regional target control optimization calculation module 122 are configured as follows:

[0057] acquiring a dynamic real-time enthalpy-humidity chart under different working conditions, and dividing the dynamic real-time enthalpy-humidity chart into different target regions;

[0058] calculating states a and b in the target region through a PID algorithm, and taking a midpoint state c of the connecting line of the states a and b as a mixed state point;

[0059] acquiring an isohumidity line of the states a, b and c, and an isodry-bulb temperature line and an isenthalpy line of the states a and c, taking the intersection point of the isohumidity line and the isodry-bulb temperature line of the state a as a center, and the center passing through the isorelative temperature line of the states a, b and c; drawing a quadrilateral interval surface perpendicular to the isenthalpy line space, wherein the first pair of edges of the quadrilateral has a length difference of the isodry-bulb temperature line of the states a and c, and the second pair of edges of the quadrilateral has a length difference of 2 times the isenthalpy line of the states a and c;

[0060] acquiring the difference of the isodry-bulb temperature line of the states a and c and the ratio of the isenthalpy line of the states a and c, and performing isothermal dehumidification processing on the center to construct a new floating value center based on the floating value center, and reducing the length of the two pairs of edges of the quadrilateral interval surface based on the ratio, and taking the further optimized quadrilateral interval surface as a control range floating interval of the target region.

[0061] The embodiment also improves the surface cooler, please refer to Figure 8 , in order to solve the problem that the prior art cannot realize more precise control strategy because one surface cooler valve is used to control the opening of multiple surface coolers. The embodiment installs new valves on the surface cooler, so that different surface coolers can be controlled by different groups of valves. In the case of small required load, energy saving control can be realized by opening only one group of surface coolers. New control algorithm is developed to support the separate opening or closing of multiple groups of valves, thereby improving the energy efficiency ratio of the system and reducing the operating cost.

[0062] In terms of hardware, the system is upgraded and necessary hardware is installed, such as communication slave station, I / O module and communication module, so as to increase the number of I / O points and communication modules to meet higher control requirements. The surface cooler is also simply modified to make it suitable for the new control system.

[0063] The material of the surface cooler can also be improved, such as using materials or composite materials with higher thermal conductivity to improve the heat exchange efficiency of the surface cooler itself and reduce energy consumption.

[0064] Second embodiment

[0065] The embodiment provides a central air conditioner intelligent humidity and temperature deviation energy saving control method based on the first embodiment. By combining dynamic real-time enthalpy-humidity chart with PID algorithm, the air conditioner control parameters are floated within a range while meeting the process requirements, so as to significantly reduce the energy consumption of the air conditioner.

[0066] Please refer to Figures 1-3 , the central air conditioner intelligent humidity and temperature deviation energy saving control method constructs an optimized intelligent humidity and temperature deviation energy saving control system, which includes an energy saving server 110 and multiple air conditioner energy saving control devices 120 in communication connection with the energy saving server 110, and each air conditioner energy saving control device 120 controls one or more air conditioner units 130.

[0067] The multi-working condition enthalpy-humidity chart partition module 121 and the regional target control optimization calculation module 122 are built in the air conditioner energy saving control device 120, and the multi-working condition enthalpy-humidity chart partition module 121 and the regional target control optimization calculation module 122 dynamically optimize the control parameters by combining PID algorithm with dynamic real-time enthalpy-humidity chart optimization algorithm, so as to improve the accuracy of the intelligent humidity and temperature deviation energy saving control system and reduce energy consumption.

[0068] Specifically, please refer to Figure 2 , the calculation steps of the PID algorithm combined with the dynamic real-time enthalpy-humidity chart optimization algorithm include:

[0069] S1: Obtain dynamic real-time enthalpy-humidity charts under different working conditions, and divide the dynamic real-time enthalpy-humidity charts into different target regions;

[0070] S2: calculating states a and b in the target area by PID algorithm, and taking the midpoint state c of the line connecting states a and b as the mixed state point;

[0071] S3: obtaining the equal humidity lines of states a, b and c, and the equal dry bulb temperature line and the equal enthalpy line of states a and c, taking the intersection of the equal humidity line and the equal dry bulb temperature line of state a as the center, and the center passing through the equal relative temperature lines of states a, b and c; drawing a quadrilateral interval surface perpendicular to the equal enthalpy line space, wherein the first pair of edges of the quadrilateral has a length difference of the equal dry bulb temperature line of states a and c, and the second pair of edges of the quadrilateral has a length difference of twice the equal enthalpy line of states a and c;

[0072] S4: obtaining the difference of the equal dry bulb temperature line of states a and c and the ratio of the equal enthalpy line of states a and c, and performing equal temperature dehumidification processing on the center to construct a new floating value center, based on the floating value center, and reducing the length of the two pairs of edges of the quadrilateral interval surface by the ratio, and taking the further optimized quadrilateral interval surface as the control range floating interval of the target area.

[0073] Please refer to Figure 4 , the black rectangular frame in the figure is the calculated control range floating interval of the target area, compared with the traditional PID using fixed set value control, the control range floating interval has higher flexibility, and at the same time meets the high precision temperature and humidity deviation range allowed by the process.

[0074] In order to further improve the accuracy of the algorithm, please refer to Figure 3 , the air conditioning energy saving control device 120 in the embodiment further includes a boundary state control optimization calculation module 123, a humidity balance state control optimization calculation module 124, a composite humidification state optimization calculation module 125, a dehumidification out-of-control state optimization calculation module 126 and a process path optimization calculation module 127 or other auxiliary optimization algorithms, wherein the boundary state control optimization calculation module 123 is used to obtain the compressor boundary state, and the humidity balance state control optimization calculation module 124, the composite humidification state optimization calculation module 125 and the dehumidification out-of-control state optimization calculation module 126 are used to calculate the humidity state in the room, so as to avoid the introduction of fresh air to bring additional heat and humidity load, and to control the heat and humidity load problem by using effective strategies.

[0075] Based on the PID algorithm combined with dynamic real-time enthalpy psychrometric chart optimization algorithm, further select one or more algorithms of boundary state control optimization calculation module 123, wet balance state control optimization calculation module 124, composite humidification state optimization calculation module 125, and dehumidification out-of-control state optimization calculation module 126, and select the optimal control strategy through process path optimization calculation module 127. Through real-time monitoring of the running state of the air conditioning system, and through the optimization algorithm on the enthalpy psychrometric chart, the influence factors of the additional heat and humidity load brought by the compressor boundary state and the introduction of fresh air are combined and analyzed to optimize the control range floating interval of the target area.

[0076] From Figure 5 and Figure 6 It can be seen that the energy consumption of one or more algorithms selected from the boundary state control optimization calculation module 123, the wet balance state control optimization calculation module 124, the composite humidification state optimization calculation module 125, and the dehumidification out-of-control state optimization calculation module 126 is significantly reduced compared to the running energy consumption of the traditional control method enthalpy psychrometric chart control path. For example, the energy consumption of state ab is reduced from 345.2643 to 236.6258, and the energy consumption of other state points is also reduced to varying degrees.

[0077] The wet balance state control optimization calculation module 124, the composite humidification state optimization calculation module 125, and the dehumidification out-of-control state optimization calculation module 126 can adopt a temperature and humidity deviation operation strategy, select the point with the minimum energy consumption within the deviation value as the set value, and keep the control error within 1 / 2 of the process allowable deviation. Especially by using the temperature and humidity deviation operation strategy in the dehumidification season, the goal of reducing energy consumption while ensuring process requirements is achieved, the dehumidification decision is optimized, and the energy consumption of the air conditioning system is reduced.

[0078] The wet balance state control optimization calculation module 124 can also use sensible heat and latent heat balance to calculate the heat and humidity balance, and the heat and humidity balance formula is:

[0079]

[0080] Where, P sen (τ) and M(τ) are the sensible heat and humidity load of the indoor cooling load, cp and ρ are the specific constant pressure heat capacity and density, V is the indoor volume, v S is the return air volume flow, is the indoor air temperature and supply air temperature, is the indoor air humidity and supply air humidity (humidity is defined as the mass of water vapor in unit mass of dry air and the mass of dry air), the heat and humidity balance equation, and the indoor hourly cooling load considering sensible heat and latent heat,

[0081]

[0082] Where h is the specific enthalpy of moist air, determined by the temperature θ and moisture content d obtained from the heat and moisture balance equation, and the correlation formula is h = 1.01θ + 0.001d × (2500 + 1.84θ). Compared to the traditional calculation method that only considers the cooling load caused by temperature changes, this calculation method considers the cooling load caused by both temperature and humidity changes. The formula shows that the cooling load at time τ is determined by the supply air specific enthalpy after the response at that moment and the return air specific enthalpy at the previous moment. The indoor hourly heat load model for sensible and latent heat is consistent with this formula. Simply replace the heat flow-related equipment power on the right side of the equation in the previous formula to obtain the corresponding specific enthalpy change and indoor hourly heat load.

[0083] The composite humidification state optimization calculation module 125 can divert external hot air into wet and dry channels, allowing the air in the wet channel to cool down through evaporative cooling and exchange heat with the air in the dry channel, thereby cooling the air to near its dew point temperature without increasing humidity. This effectively provides an energy-saving and environmentally friendly cooling solution. However, in high-humidity climates, the water vapor content in the air is close to saturation, and the cooling efficiency of evaporative cooling air conditioning is significantly limited. To achieve indoor comfort requirements, it is often used in conjunction with a dehumidification system. Dehumidifying the high-humidity air before evaporative cooling reduces the air's latent heat load, thereby keeping the supply air temperature below the inlet wet-bulb temperature.

[0084] The dehumidification out-of-control state optimization calculation module 126 is used to calculate the working states of the refrigeration system, humidity transmitter, and circulation fan, fit the working states of the above devices to the floating range value calculation, and further optimize the real-time floating range value.

[0085] The boundary state control optimization calculation module 123 obtains at least two target points A and B in the regional target, takes the historical boundary states of the target points A and B as the boundary state detection results, performs comprehensive quantitative confirmation on multiple historical boundary state detection results, and obtains the boundary state floating range. When the air-conditioning system is in the boundary state, the temperature and humidity set values ​​are automatically adjusted within the boundary state floating range so that the air-conditioning operation meets the control requirements.

[0086] The boundary state control optimization calculation module 123 uses multiple historical detection results from the dynamic acquisition process as data support. While providing sufficient data analysis, it also meets the optimized boundary state fluctuation range obtained within a similar time period under the same operating conditions, thereby improving the system's intelligent accuracy and output efficiency. This reduces the increase in energy consumption caused by boundary states, while ensuring control effectiveness and achieving certain energy-saving effects.

[0087] The air conditioner energy-saving control device 120 further comprises a cooling coil temperature and humidity control calculation module 129, which is configured to select one or more groups of cooling coils to complete heat exchange work according to different working conditions.

[0088] The process path optimization calculation module 127 is used to fully fit the actual running path with the optimal path for energy saving, and the fitting optimization method includes:

[0089] The predicted value is generated by multiple optimization algorithms;

[0090] The verification algorithm is executed to calculate the accuracy of the calculated predicted value under the current working condition;

[0091] The checker compares multiple verification results and confirms the consistency, and the contribution value of each algorithm is weighted according to the accuracy of the verification.

[0092] In order to avoid repeated calculation, the process path optimization calculation module 127 also introduces a repeated verification avoidance function to prevent the same prediction algorithm from being verified multiple times in the same geographical area and time period, thereby improving the calculation speed.

[0093] The air conditioner energy-saving control device 120 is also provided with a real-time control enthalpy-humidity chart interaction module 128, which is configured to provide a central air conditioner intelligent monitoring system running and optimal control strategy monitoring interface. Through user interface and visual operation, the central air conditioner intelligent monitoring system running interface is provided to facilitate the operation personnel to monitor the system running state.

[0094] In the embodiment, the above-mentioned optimization methods are integrated in a software, thereby reducing the number of devices, simplifying the system structure, and also enhancing the direct integration degree of the system components to ensure the operation reliability. The multi-working-condition enthalpy-humidity chart partition module 121, the regional target control optimization calculation module 122, the cooling coil temperature and humidity control calculation module 129, the boundary state control optimization calculation module 123, the wet balance state control optimization calculation module 124, the composite humidification state optimization calculation module 125, the dehumidification loss-of-control state optimization calculation module 126 and the process path optimization calculation module 127 can be integrated in the air conditioner energy-saving control device 120, or stored in a computer readable storage medium, and the computer readable storage medium stores instructions, when the instructions are loaded by the computer, the computer executes the central air conditioner intelligent wet and temperature deviation energy-saving control method.

[0095] To sum up, the intelligent wet and temperature deviation energy-saving control method of the central air conditioner in the embodiment adjusts PID parameters to adapt to the special requirements of the central air conditioner control system, and further optimizes the control range floating interval of the target area by using the dynamic real-time enthalpy-humidity chart and the optimization algorithm on the dynamic real-time enthalpy-humidity chart on the basis of the PID algorithm, improves the temperature and humidity control precision, and facilitates making the best control strategy in the later period.

[0096] The dynamic real-time enthalpy-humidity chart on the basis of the PID algorithm can better handle the nonlinear problem, so that the indoor temperature and humidity have a relatively gentle change trend, the stability of the energy-saving control system is improved, and in the continuously changing complex environment, the new optimization algorithm can still stably control the indoor temperature at the set point, further verifying the ability of the algorithm to handle the nonlinear problem.

[0097] The new optimization algorithm recalculates the control range floating interval of the target area, avoids excessive dehumidification and frequent high-speed operation of the compressor, and thus reduces energy consumption.

[0098] The above specific embodiments further specifically describe the purpose, technical scheme and beneficial effects of the present application, and it should be understood that the above description is only a specific embodiment of the present application and is not used to limit the protection scope of the present application, and any modification, equivalent replacement, improvement, etc. within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A central air-conditioning intelligent humidity and temperature deviation energy-saving control system, characterized in that: include: Energy-saving servers, An air conditioning energy-saving control device, wherein a plurality of air conditioning energy-saving control devices are communicatively connected to the energy-saving server; the air conditioning energy-saving control device comprises a multi-condition enthalpy-humidity diagram partition module and a regional target control optimization calculation module; The multi-condition psychrometric diagram partitioning module and the regional target control optimization calculation module are configured as follows: Obtaining dynamic real-time psychrometric diagrams under different working conditions, and dividing the dynamic real-time psychrometric diagrams into different target areas; The states a and b are calculated by the PID algorithm in the target area, and the midpoint of the line connecting the states a and b, state c, is used as the mixed state point.

2. The central air-conditioning intelligent humidity-temperature deviation energy-saving control system according to claim 1 is characterized in that: The air conditioning energy-saving control device is provided with two groups, namely a first air conditioning energy-saving control device and a second air conditioning energy-saving control device, the first port of the first air conditioning energy-saving control device is connected to the first air conditioning unit, the second air conditioning unit, the third air conditioning unit, and the Nth air conditioning unit are connected in series in sequence, each air conditioning unit is configured with an air conditioning body controller, the Nth air conditioning unit is connected to the second port of the second air conditioning energy-saving control device, and the second port of the first air conditioning energy-saving control device is connected to the first port of the second air conditioning energy-saving control device; Each air-conditioning unit is equipped with an air-conditioning main body controller. The energy-saving server and the air-conditioning main body controller can exchange operating data with the air-conditioning main body controller in a polling manner.

3. The central air-conditioning intelligent humidity-temperature deviation energy-saving control system according to claim 2 is characterized in that: The air conditioning energy-saving control device controls a group of air conditioning units, which include a new return air mixing section, a self-cleaning high-efficiency filter section, a surface cooling water retaining section, a heating section, a dry steam humidification section, and a blower section arranged in sequence.

4. The central air-conditioning intelligent humidity-temperature deviation energy-saving control system according to claim 3 is characterized in that: The fresh air return air mixing section includes a fresh air door and a return air door.

5. The central air-conditioning intelligent humidity-temperature deviation energy-saving control system according to claim 3 is characterized in that: The self-cleaning high-efficiency filter section includes a casing, a filter assembly, a sewage sucker, a rotary motor and a sewage discharge device.

6. The central air-conditioning intelligent humidity-temperature deviation energy-saving control system according to claim 3 is characterized in that: The surface cooling water retaining section is equipped with three sets of surface coolers and a cold water electric valve, and the heating section is equipped with a heating electric valve.

7. The central air-conditioning intelligent humidity-temperature deviation energy-saving control system according to claim 3 is characterized in that: The dry steam humidification section is equipped with a humidification electric valve, the blower power of the blower section is 75KW, and the return air volume is 120,000m3 / h.

8. The central air-conditioning intelligent humidity-temperature deviation energy-saving control system according to any one of claims 1 to 7, characterized in that: It also includes a data acquisition and monitoring control device, and is provided with two groups of the data acquisition and monitoring control devices.

9. The central air-conditioning intelligent humidity-temperature deviation energy-saving control system according to claim 8, characterized in that: The two groups of data acquisition and monitoring control devices are respectively the first data acquisition and monitoring control device and the second data acquisition and monitoring control device; the first data acquisition and monitoring control device is connected to the first air-conditioning energy-saving control device and the second air-conditioning energy-saving control device, and the second data acquisition and monitoring control device is connected to the first air-conditioning energy-saving control device and the second air-conditioning energy-saving control device.

10. The central air-conditioning intelligent humidity-temperature deviation energy-saving control system according to claim 9, characterized in that: It also includes an operator station, which has two operator stations; the first data acquisition and monitoring control device is communicated with the first operator station, and the second data acquisition and monitoring control device is communicated with the second operator station, which is used to present the real-time control enthalpy-humidity diagram interactive module to the operator for display or control.

Images