A water temperature adaptive regulation system and method for a chiller

Through the water temperature adaptive adjustment system of the chiller, the neural network model and data processing of the buffer unit are used to solve the problem of unstable water temperature regulation of the chiller, and stable water temperature control and rapid response are achieved.

CN118935896BActive Publication Date: 2025-07-11WUXI CHAOTENG MASCH MFG CO LTD
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Patent Information

Application Number
CN202411235057.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-09-04
Publication Date
2025-07-11
Estimated Expiration
2044-09-04

AI Technical Summary

Technical Problem

The existing chillers are unstable in adjusting the water temperature due to excessive frequent adjustments, and the control system cannot be kept near the set value. The excessively sensitive control algorithm causes system fluctuations, and the excessively slow control algorithm causes too slow response speed and cannot adjust the temperature in time.

Method used

The water temperature adaptive adjustment system of the chiller is adopted, including a collection unit, a control unit, a buffer unit and a control unit. By collecting the operation data of the chiller, the neural network model is used to predict the change trend of water temperature. The buffer unit stores and fuses the adjustment parameters. The control unit adjusts the power of the chiller mechanism cooling components according to the buffer parameters to achieve stable water temperature regulation.

Benefits of technology

The stability of water temperature regulation of the chiller is achieved, the instability caused by frequent adjustment is avoided, the coordination and response speed of the system are improved, and the water temperature remains stable near the set value.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention discloses a water temperature adaptive adjustment system and method for a chiller, including a collection unit, a regulation unit, a buffer unit, and a control unit. The buffer unit stores and buffers the power adjustment parameters generated by the regulation unit, and releases the stored buffer data after a certain time to buffer the data. By storing the adjustment data, the transmission speed of the adjustment data can be kept stable, avoiding the problem of excessive and frequent adjustment in the prior art, which results in unstable water temperature adjustment of the chiller. The storage capacity of the buffer area is set according to the throughput of the power adjustment parameters of the regulation unit and the refrigeration working processing speed. By controlling the storage capacity of the buffer area according to the requirements of the input end and the output end, the data transmission quantity between the input end and the output end can be coordinated. The buffer area stores the data with a storage capacity matching the data transmission quantity, making the adjustment system have coordination.
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Description

Technical Field

[0001] The present invention relates to the field of refrigeration technology, and particularly to a chiller control system, and more particularly to a system and method for self-adaptive adjustment of the water temperature of a chiller. Background Art

[0002] A chiller is a device that can provide constant temperature, constant flow, and constant pressure cooling water. Its core function is to absorb heat and reduce the temperature by circulating cooling water or other cooling media, so as to be used for cooling various equipment and systems to ensure their normal operation and stability. The working principle of a chiller mainly relies on the large heat capacity of water to effectively reduce the temperature of the object to be cooled, and has the characteristics of high-efficiency cooling and versatility.

[0003] When the water temperature needs to be adjusted, set the required water temperature value. The control system will adjust the operating states of the compressor and the circulation pump according to the set water temperature value. The compressor starts to work, compresses and cools the refrigerant, and then absorbs heat through the evaporator to reduce the water temperature. The circulation pump starts to work, sending the cooled water into the equipment or system that needs to be cooled. The control system will continuously monitor the water temperature and adjust the operating states of the compressor and the circulation pump according to the difference between the actual temperature and the set temperature to keep the water temperature stable near the set value.

[0004] The prior art CN115903956A discloses an intelligent chiller control system, which includes multiple channels. Each channel contains a channel control module and a channel mechanical module. Each actuator in the channel mechanical module of each channel is controlled by the corresponding channel control module; the channel control modules of the multiple channels are uniformly controlled by the whole machine control module; the external device communication module realizes the communication between the chiller and the external main device, the image communication module realizes the communication between the chiller and the infrared detector, and the analysis module is used to determine the power distribution scheme and the temperature set value range for the chiller. Through multi-channel PID control, precise control of each channel is achieved. At the same time, combined with the real-time sensing of the regional temperature by the infrared detector, the heat map is analyzed to dynamically adjust the power distribution scheme and the set value range, making the temperature control system operate more intelligently and stably. However, under the control of multiple channels, the control system frequently adjusts the flow rate or pressure of the coolant, which will lead to unstable cooling effects, making the system temperature unable to be maintained near the set value. An overly sensitive control algorithm will cause overshoot of the system, that is, fluctuate back and forth near the set value. An overly sluggish control algorithm results in too slow response speed of the system, unable to adjust the temperature in time, making the system temperature unstable, and making the water temperature adjustment process of the chiller unable to maintain stability.

[0005] Therefore, it is necessary to improve the chiller adjustment system in the prior art to solve the above problems. Summary of the Invention

[0006] The present invention overcomes the deficiencies of the prior art and provides a water temperature adaptive regulation system and method for a chiller, aiming to solve the defect that the water temperature regulation of the chiller in the prior art is unstable due to excessive and frequent regulation.

[0007] To achieve the above object, the technical solution adopted by the present invention is: a water temperature adaptive regulation system for a chiller, comprising: a collection unit, a regulation unit, a buffer unit, and a control unit;

[0008] The collection unit is used to collect the operation data of the chiller, and the operation data is the system parameters and environmental parameters of the chiller during operation;

[0009] The regulation unit is connected to the collection unit and receives the operation data. The regulation unit calculates the power regulation parameter of the chiller's refrigeration component according to the preset water temperature value and the operation data;

[0010] The buffer unit includes: a buffer area, a buffer area adjustment component, and a fusion component; the buffer area receives and stores the power regulation parameter; the buffer area adjustment component is used to adjust and control the storage capacity of the buffer area, and the storage capacity is the content of the power regulation parameter in the buffer area within a set time; the fusion component is used to fuse the power regulation parameter in the buffer area to obtain a buffered power parameter;

[0011] The control unit receives the buffered power parameter, and the control unit adjusts the power of the chiller's refrigeration component according to the buffered power parameter.

[0012] In a preferred embodiment of the present invention, the collection unit is several sensors, the system parameters are: the water temperature, refrigeration power, and water flow rate of the current chiller, and the environmental parameter is the environmental temperature.

[0013] In a preferred embodiment of the present invention, the regulation unit is equipped with a neural network model, and the neural network model is trained based on historical data. The historical data is the power regulation parameter and water temperature change value each time in the chiller. The neural network model learns the relationship between the refrigeration working parameters of the chiller and the water temperature change, and predicts the water temperature change trend within a fixed time.

[0014] In a preferred embodiment of the present invention, the storage capacity is adjusted according to the throughput of the power regulation parameter and the refrigeration working processing speed. The throughput is the data volume of the power regulation parameter obtained by the regulation unit per unit time, and the refrigeration working processing speed is the reaction speed of the chiller from receiving the buffered data to starting to change the refrigeration power of the chiller; a damping factor is set in the adjustment process of the storage capacity, and the damping factor is used to adjust the adjustment process of the storage capacity.

[0015] In a preferred embodiment of the present invention, the relationship between the storage capacity and the damping factor is as follows:

[0016]

[0017] Where C n is the adjusted buffer storage capacity, T is the throughput of the power adjustment parameter, C c is the buffer storage capacity before adjustment, S is the refrigeration operation processing speed, C max is the maximum buffer storage capacity, γ is the damping factor, k is the buffer storage capacity constant, the value range of γ is 0.2 - 0.8, and the value range of k is 0.4 - 1.

[0018] In a preferred embodiment of the present invention, the fusion method of the fusion component for the power adjustment parameter is the weighted average method. Each power adjustment parameter has a weight. The longer the buffering time of the power adjustment parameter in the buffer, the greater the weight. The sum of the weights of the power adjustment parameters at each fusion is 1.

[0019] When there are n power adjustment parameters in the buffer, the weight of the i-th power adjustment parameter is: After adding another power adjustment parameter, the weight of the i-th power adjustment parameter becomes:

[0020] Where W i is the weight of the i-th power adjustment parameter when the number of power adjustment parameters is n, W i ' is the weight of the i-th power adjustment parameter when the number of power adjustment parameters is n + 1, t i is the time of the i-th power adjustment parameter in the buffer, τ is the time constant, e is the natural constant, and the value of τ is 0.1 - 0.5.

[0021] When the number of power adjustment parameters is n, the buffered power parameter P t obtained by the fusion component is as follows:

[0022]

[0023] Where A i is the i-th power adjustment parameter in the buffer.

[0024] In a preferred embodiment of the present invention, the buffer is divided into several buffer partitions. The number of the several buffer partitions is not less than two. The several buffer partitions are connected in series, and the data output position of the previous buffer partition is the data input position of the next buffer partition.

[0025] In a preferred embodiment of the present invention, the buffer adjustment component controls the switching of the data release state or the data storage state of each of the buffer partitions respectively;

[0026] The data release state of each of the buffer partitions is as follows: the data input end of the buffer partition is closed while the data output end is open, and the buffer power parameter is delivered to the next buffer partition or the control unit;

[0027] The data storage state of each of the buffer partitions is as follows: the data input end of the buffer partition is open while the data output end is closed, and the buffer partition stores the input power adjustment parameter.

[0028] To achieve the above object, the second technical solution adopted by the present invention is: a method for using a water temperature adaptive adjustment system of a chiller, including the following steps:

[0029] S1: The collection unit collects the operation data of the chiller, and the collection unit delivers the operation data of the chiller to the regulation unit;

[0030] S2: The regulation unit adjusts the cooling parameters according to the operation data of the chiller and the cooling demand of the cold water to obtain a power adjustment parameter, and the regulation unit delivers the power adjustment parameter to the buffer unit;

[0031] S3: The buffer unit buffers and stores the power adjustment parameter data, and fuses the power adjustment parameter data within a certain storage time to form a buffer power parameter, and delivers the buffer power parameter to the control unit;

[0032] S4: The control unit controls the cooling work of the chiller according to the buffer power parameter, and feeds back the control result to the regulation unit and the buffer unit.

[0033] In a preferred embodiment of the present invention, before the buffer power parameter is delivered to the control unit in S3, it is further buffered to obtain a secondary buffer power parameter, and the secondary buffer parameter is delivered to the control unit. The secondary buffer power parameter further buffers the influence of the buffer power parameter on the temperature of the chiller.

[0034] The present invention solves the defects in the background art, and the present invention has the following beneficial effects:

[0035] (1) The present invention provides a cold water machine water temperature adaptive regulation system, including a collection unit, a regulation unit, a buffer unit, and a control unit. The buffer unit stores and buffers the power regulation parameters generated by the regulation unit, and releases the stored buffer data after a certain time to buffer the data. Compared with the cold water machine water temperature regulation system in the prior art, by storing the regulation data, the transmission speed of the regulation data can be kept stable, avoiding the problem of excessive and frequent regulation in the prior art, and solving the defect that the water temperature regulation of the cold water machine is unstable due to excessive and frequent regulation.

[0036] (2) In the present invention, a neural network model is carried on the regulation unit. The neural network model is trained using historical data and can generate regulation data based on the historical data, conforming to the historical data evolution plan. Compared with the prior art, it can make the regulation data meet the regulation intensity of the regulation unit based on the historical data, predict the regulation change requirements of the cold water machine, and has real-time variability.

[0037] (3) In the present invention, the storage capacity of the buffer is set according to the throughput of the power regulation parameters of the regulation unit and the refrigeration work processing speed, and the storage capacity of the buffer is controlled by the requirements of the input end and the output end. Compared with the prior art, it can coordinate the data transmission quantity between the input end and the output end, and the buffer stores data in a storage capacity matching the data transmission quantity, making the regulation system coordinated.

[0038] (4) In the present invention, the buffer is divided into several buffer partitions, and the number of the several buffer partitions should be greater than or equal to two. The buffer partitions can store data in multiple areas to ensure smooth data flow. Compared with the prior art, the function of storing and releasing data simultaneously in multiple partitions as a whole can be realized, avoiding the problem of data blockage caused by too slow data release speed in the buffer partitions, and improving the smoothness of system data flow.

[0039] (5) In the present invention, a historical data weight factor is set in the power regulation parameter data in the buffer unit. Through the historical data weight factor, multi-correlation analysis of the power regulation parameter data can be completed. Compared with the prior art, the data fusion process in the buffer unit can be combined and analyzed according to the past data and the real-time working conditions, and the data can be adjusted in real time in the case of future regulation changes, making the data passing through the buffer meet the real-time cooling requirements. Description of the Drawings

[0040] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments recorded in the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings;

[0041] Figure 1 is the system structure diagram of the preferred embodiment of the present invention;

[0042] Figure 2 is the method step diagram of the preferred embodiment of the present invention. Detailed implementation manners

[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0044] Many specific details are set forth in the following description in order to provide a thorough understanding of the present invention. However, the present invention can also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited by the specific embodiments disclosed below.

[0045] As Figure 1 shown, a water temperature adaptive adjustment system for a chiller includes: a collection unit, a regulation unit, a buffer unit, and a control unit.

[0046] The collection unit is used to collect the operation data of the chiller. The operation data is the system parameters and environmental parameters when the chiller is running. The collection unit is several sensors. The system parameters are: the water temperature, refrigeration power, and water flow rate of the current chiller, and the environmental parameter is the environmental temperature. The water temperature refers to the real-time water temperature in the chiller; the environmental temperature refers to the environmental temperature around the water source of the chiller, including but not limited to the temperature of the storage container of the chiller and the air temperature; the refrigeration power is the power at which the chiller's temperature drops, reflecting the functional situation of the chiller; the water flow rate is the water flow rate for cooling by the chiller within a fixed time.

[0047] The collection of water temperature and ambient temperature data uses thermal sensors, which can measure the water temperature and ambient temperature thermally, i.e., measure the temperature. The refrigeration power can be obtained by calculating the rate of water cooling per unit time, and the calculation is performed using thermal sensors. The process of collecting water flow data is to measure and record the volume or mass of water passing through per unit time, and the sensors used can be electromagnetic flow meters, eddy current sensors, and differential pressure sensors. Electromagnetic flow meters use magnetic field induction to quantitatively measure the volume flow of conductive liquids. By installing a pair of magnetic field induction coils and an electrode, the flow rate is deduced by measuring the induced electromotive force. Eddy current sensors sense the fluid flow velocity through a turbine rotor, and the rotation speed of the turbine is proportional to the fluid flow velocity, so the flow rate can be calculated. Differential pressure sensors calculate the flow rate by measuring the differential pressure generated when the fluid passes through the throttling device.

[0048] The collection of the chiller operation data can monitor and collect the chiller operation data in real time, including key parameters such as water temperature, ambient temperature, refrigeration power, and water flow. This helps the system to have a comprehensive understanding of the chiller operation status.

[0049] The control unit is connected to the collection unit and receives the operation data. The control unit calculates the power adjustment parameters of the chiller refrigeration components based on the pre-set water temperature value and the operation data. The control unit can be a computer for data processing. The control unit analyzes the chiller operation data and calculates the power adjustment parameters according to the pre-set water temperature value. Before processing the chiller operation data, the control unit pre-processes the chiller operation data, i.e., noise reduction processing and normalization processing, to eliminate non-conventional data, which can improve the accuracy for calculating the power adjustment parameters.

[0050] A neural network model is loaded on the control unit. The neural network model is trained based on historical data. The historical data is the power adjustment parameters and water temperature change values each time in the chiller. The neural network model learns the relationship between the chiller refrigeration working parameters and the water temperature change, and predicts the water temperature change trend within a fixed time. The neural network model uses one of the convolutional neural network or the recurrent neural network. The convolutional neural network extracts the spatial features in the time series data, and the recurrent neural network performs the analysis and prediction of time dependence. The historical data is the operation data in the previous refrigerant refrigeration work. When the chiller is refrigerating, with time as the variable axis, the refrigeration demand in each time period is recorded over a long time, and the chiller refrigeration working rule is learned after a long time of learning, and the water temperature change trend in the future period of time is predicted based on the chiller refrigeration working rule.

[0051] The regulation unit is equipped with a neural network model, which can generate adjustment data based on historical data, conform to the historical data evolution plan, adjust the data to meet the adjustment strength of the regulation unit based on the historical data, predict the regulation change requirements of the chiller, and has real-time variability.

[0052] According to the predicted water temperature change trend within a fixed time, the refrigeration power is adjusted so that the refrigeration power within the predicted time conforms to the water temperature change trend within the predicted fixed time, and the water temperature change trend within the predicted fixed time remains stable.

[0053] The buffer unit includes: a buffer area, a buffer adjustment component, and a fusion component; the buffer area receives and stores power adjustment parameters; the buffer adjustment component is used to adjust and control the storage capacity of the buffer area, and the storage capacity is the content of the power adjustment parameters in the buffer area within a set time; the fusion component is used to fuse the power adjustment parameters in the buffer area to obtain buffer power parameters.

[0054] The buffer area is a data area, specifically a data area that delays the input and output data. The delay method is to intercept and store the input power adjustment parameter data within a certain time, and integrate and output the power adjustment parameters intercepted and stored during this period after a predetermined time. After output, perfect power adjustment parameters are obtained.

[0055] The storage capacity of the power adjustment parameters in the buffer unit is set according to the throughput of the power adjustment parameters and the refrigeration work processing speed. The throughput is the data volume of the power adjustment parameters obtained by the regulation unit per unit time, and the refrigeration work processing speed is the reaction time of the chiller when receiving the buffer data. If the buffer area is too small, it may not be able to effectively smooth the data change; if it is too large, it may introduce additional delays. Specifically, when the throughput of the power adjustment parameters is large or the refrigeration work processing speed is small, the buffer area can automatically expand its capacity to accommodate more data and prevent data loss or untimely processing. When the throughput of the power adjustment parameters is small or the refrigeration work processing speed is large, the buffer area can automatically reduce its capacity to reduce resource occupancy and improve processing efficiency, and can improve the adjustment accuracy.

[0056] The buffer adjustment component and the fusion component are respectively computer programs. The buffer adjustment component controls the opening and closing of the buffer area, and changes the content of the power adjustment parameters contained in the buffer area by adjusting the size of the buffer area. The fusion method of the fusion component for the power adjustment parameters is the weighted average method. Each power adjustment parameter has a weight. The longer the buffer time of the power adjustment parameter in the buffer area, the greater the weight. The total weight of the power adjustment parameters during each fusion is 1.

[0057] When there are n power adjustment parameters in the buffer area, the weight of the i-th power adjustment parameter is: After adding a power adjustment parameter again, the weight of the \(i\)-th power adjustment parameter becomes:

[0058] where \(W\) i is the weight of the \(i\)-th power adjustment parameter when the number of power adjustment parameters is \(n\), and \(W\) i ' is the weight of the \(i\)-th power adjustment parameter when the number of power adjustment parameters is \(n + 1\), \(t\) i is the time of the \(i\)-th power adjustment parameter in the buffer, \(\tau\) is the time constant, \(e\) is the natural constant, and the value of \(\tau\) is \(0.1 - 0.5\).

[0059] When the number of power adjustment parameters is \(n\), the buffered power parameter \(P\) obtained by the fusion component t is as follows:

[0060]

[0061] where \(A\) i is the \(i\)-th power adjustment parameter in the buffer.

[0062] The storage capacity of the power adjustment parameter in the buffer unit is set according to the throughput of the power adjustment parameter and the refrigeration operation processing speed. By controlling the storage capacity of the buffer through the requirements of the input end and the output end, the data transmission quantity between the input end and the output end can be coordinated. The buffer stores data with a storage capacity matching the data transmission quantity, making the adjustment system coordinated.

[0063] The buffer is divided into several buffer partitions, and the number of the several buffer partitions should be greater than or equal to two. The buffer partition is a component of the buffer, and its function is to store data separately and store the power adjustment parameters in different regions. The several buffer partitions are in series, and the data transmission direction is single. Setting several buffer partitions can prevent any buffer partition from blocking the parameters when outputting the buffer parameters.

[0064] The buffer partition can store data in multiple regions to ensure smooth data flow, enabling the overall function of multiple partitions to store and release data simultaneously, which can avoid the problem of data blockage caused by too slow data release speed in the buffer partition, and improve the smoothness of system data flow.

[0065] The buffer adjustment component controls the switching of the data release state or the data storage state of each buffer partition respectively.

[0066] The data release state of each buffer partition is: the data input end of the buffer partition is closed and the data output end is open, and the buffered power parameter is delivered to the next buffer partition or the control unit.

[0067] The data storage status of each buffer partition is as follows: the data input end of the buffer partition data is open while the data output end is closed, and the buffer partition stores the input power adjustment parameters.

[0068] Adjusting the storage capacity of the buffer means changing the data storage capacity of the buffer accordingly based on the throughput of the power adjustment parameters and the processing speed of the refrigeration operation, so that the adjustment of the buffer storage capacity can coordinate the throughput of the power adjustment parameters and the processing speed of the refrigeration operation, avoiding too rapid changes in either the delivery of the power adjustment parameters or the processing speed of the refrigeration operation. The opening and closing of the buffer partition are for the input and output of the power adjustment parameters in the buffer, so that the buffer partition meets the data storage function.

[0069] The damping factor is a variable introduced to reduce oscillations. The damping factor is related to the buffer storage capacity. After calculating the change in the buffer storage capacity for the buffer, the current buffer size and the target size are weighted-averaged through the damping factor. If the difference between the target size and the current size is large, the damping factor will limit the amplitude of a single adjustment, avoiding large fluctuations in the buffer size in a short period of time, thereby reducing oscillations.

[0070] The relationship between the buffer storage capacity and the damping factor is as follows:

[0071]

[0072] where C n is the adjusted buffer storage capacity, T is the throughput of the power adjustment parameters, C c is the buffer storage capacity before adjustment, S is the processing speed of the refrigeration operation, Cmax is the maximum buffer storage capacity, γ is the damping factor, k is the buffer storage capacity constant, the value range of γ is 0.2 - 0.8, and the value range of k is 0.4 - 1. It is the relationship between the storage capacity, the throughput of the power adjustment parameters, and the processing speed of the refrigeration operation. The greater the throughput of the power adjustment parameters and the processing speed of the refrigeration operation, the greater the storage capacity, which can avoid excessive fluctuations caused by too rapid adjustment. It demonstrates fault tolerance and can be adjusted based on the buffer storage capacity before adjustment to avoid excessive buffer storage capacity.

[0073] The throughput of the power adjustment parameters is the amount of data of the power adjustment parameters obtained by the control unit per unit time, and the throughput of the power adjustment parameters is related to the adjustment frequency of the chiller for refrigeration operation; the processing speed of the refrigeration operation is the adjustment speed of the refrigeration components in the chiller, that is, the speed at which the refrigeration parameters change according to the power adjustment parameters. The system load may change over time. For example, in different time periods or seasons, the operating requirements of the chiller may be different. By dynamically adjusting the buffer capacity, the system can adapt to these changes and maintain optimal performance.

[0074] Fuse the power adjustment parameter data in the buffer area, comprehensively analyze the power adjustment parameters in the buffer area according to the length of the time period and the degree of adjustment, and perform fusion output according to the weight ratio, so as to adjust the cooling operation of the chiller, and avoid excessive fluctuations in the cooling process caused by frequent adjustment and abnormal adjustment degree.

[0075] The control unit is used to adjust the temperature of the chiller. The control unit is connected to the buffer unit, and the control unit adjusts the cooling parameters of the chiller according to the buffer power parameters. The control unit includes various control components and is connected to the cooling function area on the chiller. After receiving the power adjustment parameter data stored and buffered in the buffer area, the power adjustment parameter data is sent to the cooling function area to execute the chiller cooling instruction.

[0076] The chiller water temperature adaptive adjustment system includes a collection unit, a regulation unit, a buffer unit and a control unit. The buffer unit is used to store and buffer the power adjustment parameters generated by the regulation unit, and release the stored buffer data after a certain time to buffer the data. By storing the adjustment data, the transmission speed of the adjustment data can be kept stable, avoiding too fast transmission of the adjustment data, and solving the defect that the water temperature adjustment of the chiller in the prior art is unstable due to excessive frequent adjustment.

[0077] The working principle of the cooling function area is mainly to cool the cold water by using heat conduction, specifically realized by controlling the energy transfer and heat balance in the chiller. Through the control unit, the power adjustment parameter data can be converted into indicators for the cooling amplitude and speed of the cold water, which can be used as the basis for the accuracy of cooling the cold water.

[0078] The data transmission between the collection unit, the regulation unit, the buffer unit and the control unit can be one of wired data transmission and wireless data transmission. Wired data transmission means transmitting data through data lines, which has the characteristics of safety, reliability and avoiding being affected; wireless data transmission means transmitting data in the form of electromagnetic waves, which has the characteristic of being free from site restrictions.

[0079] Such as Figure 2 shown, in order to achieve the purpose, the present invention provides a second technical solution: a method for using a chiller water temperature adaptive adjustment system, and the method steps are as follows:

[0080] S1: The collection unit collects the chiller operation data, and the collection unit sends the chiller operation data to the regulation unit.

[0081] S2: The regulation unit adjusts the cooling parameters according to the chiller operation data and the cold water cooling requirement to obtain the power adjustment parameters, and the regulation unit sends the power adjustment parameters to the buffer unit.

[0082] S3: The buffer unit buffers and stores the power adjustment parameter data, and fuses the power adjustment parameter data within a certain storage time to form buffer power parameters, and transports the buffer power parameters to the control unit.

[0083] S4: The control unit controls the cooling operation of the chiller according to the stored power adjustment parameters, and feeds back the control results to the regulation unit and the buffer unit.

[0084] After the control of S4, the chiller obtains a cooling result. The cooling result is that the new cooling result is converted into new historical data. By fusing the new historical data with the old historical data, complete historical data is obtained. When the new historical data and the old historical data are fused, a historical data weight factor is used. Through the historical data weight factor, the fusion ratio of the new historical data and the old historical data is adjusted.

[0085] The historical data weight factor is a variable added according to the change of historical data. The historical data weight factor can improve the accuracy of the change of the buffer storage capacity by introducing historical data, can connect the buffer storage capacity with historical data, and make the change of the buffer area related to the change of the chiller cooling demand. The complete historical data is fed back to the regulation unit and the buffer unit, and the neural network model of the regulation unit and the adjustment of the buffer storage capacity are updated respectively, improving the real-time accuracy.

[0086] There is a historical data weight factor in the buffer unit when fusing the power adjustment parameter data. Through the historical data weight factor, multi-correlation analysis of the power adjustment parameter data can be completed, and the data fusion process in the buffer unit can be combined and analyzed according to past data and real-time working conditions, and the data can be adjusted in real time in the case of future adjustment changes, so that the data passing through the buffer area meets the real-time cooling demand.

[0087] In S3, the buffer power parameter is further buffered before being transported to the control unit to obtain a secondary buffer power parameter, and the secondary buffer parameter is transported to the control unit. The secondary buffer power parameter further buffers the temperature impact of the chiller based on the buffer power parameter.

[0088] When the control unit transports the adjustment coefficient, the total output adjustment power P of the chiller in the adjustment coefficient has: P = H × [γ × P d +(1 - γ) × P t ;

[0089] Among them, P d is the secondary buffer power parameter, P tLet γ be the buffer power parameter, and H be the historical data weight factor. The value range of H is 0.4 - 0.6. The combination of H and γ can adapt to different working conditions and requirements, which makes the system have strong adaptability and flexibility and can cope with various complex environmental changes.

[0090] After further adjusting the buffer power parameter, the secondary buffer power parameter is obtained. The secondary buffer power parameter is to buffer the buffer parameter further on the basis of the buffer parameter to ensure that the adjustment of the chiller avoids excessive adjustment fluctuations of the chiller. When the real-time chiller output adjustment power acts on the chiller, it can perform a refrigeration working power adjustment amount consistent with the total chiller output adjustment power on the chiller, so that the chiller refrigeration work is adjusted.

[0091] The buffer power parameter is a parameter obtained by buffering the running speed of the chiller. The secondary buffer power parameter is to further buffer the buffer power parameter so that the influence of the buffer power parameter on the temperature conforms to the temperature fluctuation range of the chiller.

[0092] Among them, the secondary buffer power parameter P d There is the following relationship:

[0093]

[0094] Among them, α is the adjustment coefficient of the buffer storage capacity. The value range of α is 0.2γ - 0.4γ respectively. T is the current water temperature, T1 is the target water temperature, and T2 is the water temperature adjustment threshold. γ remains unchanged during any buffer adjustment process. By adjusting the value of α, while ensuring the stability of the system, the distribution of the output power of the cold and hot water machine can be optimized. The water temperature threshold is a set parameter. When the water temperature adjustment range exceeds or is lower than this range, the system needs to take corresponding measures to adjust the output power of the cold and hot water machine. Through the combined analysis of the target water temperature and the water temperature adjustment threshold, the output power of the chiller of the control unit can be accurately adjusted according to the adjusted water temperature difference.

[0095] Based on the ideal embodiments of the present invention as an inspiration, through the above description, relevant personnel can completely make various changes and modifications without departing from the technical idea of this invention. The technical scope of this invention is not limited to the content in the specification, and the technical scope must be determined according to the scope of the claims.

Claims

1. A water temperature adaptive adjustment system for a chiller, comprising: A collection unit, a regulation unit, a buffer unit, and a control unit, characterized in that: The collection unit is used to collect the operating data of the chiller, and the operating data is the system parameters and environmental parameters of the chiller during operation; The regulation unit is connected to the collection unit and receives the operating data. The regulation unit calculates the power regulation parameters of the refrigeration components of the chiller according to the preset water temperature value and the operating data; The buffer unit includes: a buffer area, a buffer area adjustment component, and a fusion component; the buffer area receives and stores the power regulation parameters; the buffer area adjustment component is used to adjust and control the storage capacity of the buffer area, and the storage capacity is the content of the power regulation parameters in the buffer area within a set time; the fusion component is used to fuse the power regulation parameters in the buffer area to obtain buffer power parameters; The control unit receives the buffer power parameters, and the control unit adjusts the power of the refrigeration components of the chiller according to the buffer power parameters; The storage capacity is adjusted according to the throughput of the power regulation parameters and the refrigeration work processing speed. The throughput is the data volume of the power regulation parameters obtained by the regulation unit per unit time, and the refrigeration work processing speed is the reaction speed of the control unit to start changing the refrigeration power of the chiller after receiving the buffer power parameters; a damping factor is set during the adjustment process of the storage capacity, and the damping factor is used to adjust the adjustment process of the storage capacity; The relationship between the storage capacity and the damping factor is as follows: ; Among them, C n is the adjusted buffer storage capacity, T is the throughput of the power adjustment parameter, C c is the buffer storage capacity before adjustment, S is the refrigeration working processing speed, C max is the maximum buffer storage capacity, γ is the damping factor, k is the buffer storage capacity constant, the value range of γ is 0.2 - 0.8, and the value range of k is 0.4 - 1.

2. The water temperature adaptive regulation system of a chiller according to claim 1, wherein: The collection unit is several sensors, the system parameters are: the water temperature, refrigeration power, and water flow rate of the current chiller, and the environmental parameter is the environmental temperature.

3. The water temperature adaptive regulation system of a chiller according to claim 1, characterized in that: The regulation unit is equipped with a neural network model, and the neural network model is trained based on historical data. The historical data is the power regulation parameters and water temperature change values in each chiller. The neural network model learns the relationship between the refrigeration work parameters of the chiller and the water temperature change, and predicts the water temperature change trend within a fixed time.

4. The water temperature adaptive regulation system of a chiller according to claim 1, characterized in that: The fusion method of the fusion component for the power regulation parameters is the weighted average method. Each power regulation parameter has a weight. The longer the buffer time of the power regulation parameter in the buffer area, the greater the weight. The sum of the weights of the power regulation parameters during each fusion is 1; When there are n power adjustment parameters in the buffer, the weight of the i-th power adjustment parameter is: , after adding another power adjustment parameter, the weight of the i-th power adjustment parameter becomes: ; wherein, is the weight of the i-th power adjustment parameter when the number of power adjustment parameters is n, is the weight of the i-th power adjustment parameter when the number of power adjustment parameters is n + 1, t i is the time of the i-th power adjustment parameter in the buffer, τ is the time constant, e is the natural constant, the value of τ is 0.1 - 0.5, n is the total number of power adjustment parameters in the buffer, and i is the ordinal number of the power adjustment parameter in the buffer; When the number of the power adjustment parameters is n, the buffer power parameter P obtained by the fusion component t is as follows: ; Among them, A i is the i-th power adjustment parameter in the buffer.

5. The water temperature adaptive regulation system of a chiller according to claim 1, characterized in that: The buffer area is divided into several buffer partitions, and the number of the several buffer partitions is not less than two. The several buffer partitions are connected in series, and the data output position of the previous buffer partition is the data input position of the next buffer partition.

6. The water temperature self-adaptive regulation system of a chiller according to claim 5, characterized in that: The buffer area adjustment component controls the switching of the data release state or data storage state of each buffer partition respectively; The data release state of each buffer partition is: the data input end of the buffer partition is closed, and at the same time the data output end of the buffer partition is open, and the buffer power parameters are delivered to the next buffer partition or the control unit; The data storage state of each buffer partition is: the data input end of the buffer partition is open, and at the same time the data output end of the buffer partition is closed, and the buffer partition stores the input power regulation parameters.

7. A method for using a water temperature self - adaptive regulation system of a chiller, based on the water temperature self - adaptive regulation system of a chiller according to any one of claims 1 - 6, characterized in that, Including the following steps: S1: The collection unit collects the operating data of the chiller, and the collection unit transports the operating data of the chiller to the regulation unit; S2: The regulation unit adjusts the cooling parameters according to the operating data of the chiller and the cold water cooling demand to obtain the power regulation parameters, and the regulation unit transports the power regulation parameters to the buffer unit; S3: The buffer unit buffers and stores the power regulation parameter data, and fuses the power regulation parameter data within a certain storage time to form buffer power parameters, and transports the buffer power parameters to the control unit; S4: The control unit controls the cooling work of the chiller according to the buffer power parameters, and feeds back the control result to the regulation unit and the buffer unit.

8. A method for using an adaptive temperature regulation system for the water temperature of a chiller, characterized in that: Before being transported to the control unit, the buffer power parameters in S3 are further buffered to obtain secondary buffer power parameters, and the secondary buffer parameters are transported to the control unit. The secondary buffer power parameters further buffer the temperature impact of the buffer power parameters on the chiller.

Citation Information

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