CN117346417B - Water chiller temperature control system and method based on Internet of things technology - Google Patents
Water chiller temperature control system and method based on Internet of things technology Download PDFInfo
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- CN117346417B CN117346417B CN202311652062.6A CN202311652062A CN117346417B CN 117346417 B CN117346417 B CN 117346417B CN 202311652062 A CN202311652062 A CN 202311652062A CN 117346417 B CN117346417 B CN 117346417B
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 87
- 238000000034 method Methods 0.000 title claims abstract description 9
- 238000005516 engineering process Methods 0.000 title abstract description 11
- 238000004364 calculation method Methods 0.000 claims abstract description 20
- 238000012423 maintenance Methods 0.000 claims abstract description 11
- 238000013480 data collection Methods 0.000 claims abstract description 5
- 238000010438 heat treatment Methods 0.000 claims description 17
- 239000012530 fluid Substances 0.000 claims description 8
- 230000000737 periodic effect Effects 0.000 claims description 6
- 238000010992 reflux Methods 0.000 claims description 4
- 238000005086 pumping Methods 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 6
- 230000000694 effects Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000001276 controlling effect Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 239000003507 refrigerant Substances 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25B—REFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
- F25B49/00—Arrangement or mounting of control or safety devices
- F25B49/02—Arrangement or mounting of control or safety devices for compression type machines, plants or systems
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Mechanical Engineering (AREA)
- Thermal Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Feedback Control In General (AREA)
Abstract
The invention discloses a water chiller temperature control system and method based on the Internet of things technology, which are based on the application of the Internet of things technology, collect the running parameter data of a water chiller capable of reflecting the real-time temperature control state through a terminal sensor, store the running parameter data into a real-time database, calculate specific running indexes, combine a PID parameter adjustment strategy, feed back a PID parameter update instruction to the water chiller, realize the data adjustment of relevant parameters through a management background of a server, realize the data collection, identification, calculation and representation of the running state of the water chiller, further realize the reliable dynamic temperature control of the water chiller, save energy and realize convenient operation and maintenance.
Description
Technical Field
The invention belongs to the technical field of the Internet of things of computer data identification and data calculation and representation, and particularly relates to acquisition, identification, calculation and representation of data of a terminal water chiller of the Internet of things.
Background
The water chiller is equipment for temperature regulation, is widely applied to the fields of industry, semiconductors and the like, has high temperature requirements and needs to be kept constant and stable. However, due to the influence of factors such as environmental temperature, load change, refrigerant leakage and the like of actual temperature control equipment, the output temperature of the water chiller often fluctuates, the performance and efficiency of the water chiller are affected, and even equipment damage or product quality reduction is caused. The existing constant temperature control device of the water chiller mostly adopts a PID control mode, but the mode is often determined by simply relying on the operation experience of technicians, and the PID control parameters cannot be flexibly predicted for various temperature control equipment environments. In the prior art, a BP neural network model is also adopted to train control parameters, but on one hand, the model is difficult to build and maintain, and on the other hand, the actual cost performance is not high after the intelligent model is adopted to process the data volume based on the cold water machine industrial control field. Based on the needs of simplicity and high efficiency and the requirement of meeting the diversity of the actual industrial control environment of the water chiller, the temperature control of the water chiller is an urgent problem to be solved in the industrial application in the industry at present.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a water chiller temperature control system based on the internet of things technology, which comprises temperature control equipment, a water chiller, a main control device and a server, wherein the water chiller is used for PID temperature control of the temperature control equipment according to set temperature, and comprises a data acquisition module and a temperature regulation module.
And a data acquisition module: the method comprises the steps of collecting the outlet temperature Tout, the reflux outlet temperature Tback, the pump pressure F and the actual temperature Treal of temperature control equipment of the water chiller through a sensor, and reporting collected data and a data collection time stamp to the main control device at a first period T1 at fixed time as a group of period data.
And a temperature adjusting module: the system is used for setting the target temperature Tset of the water chiller, controlling the pump pressure of the water chiller according to the current PID parameters, and receiving a parameter updating instruction issued by the main control device to update the current PID parameters.
The main control device is used for managing a plurality of cold water machines in an area and is responsible for relaying data information between the cold water machines and the service end and sending the current target temperature Tset of the cold water machines and the group of periodic data to the service end as a group of time sequence data.
The server side is used for receiving the time sequence data reported by the main control device and storing the time sequence data into a time sequence database, and simultaneously, calculating operation indexes of the water chiller in the past historical time T3 at regular time according to a second period T2, wherein the operation indexes comprise a fluctuation rate W and a temperature rise index V.
。
Wherein n is the number of groups of the corresponding water chiller acquisition data records in the time sequence database in the historical time T3,and (3) taking the average value of the pump pressure F in the collected data of the water chiller corresponding to the historical time T3 as the corresponding i-th group of collected data in the historical time T3 as each collected parameter containing the index i.
Presetting a threshold interval of each operation index, and determining the following PID parameter adjustment strategy when the calculation result does not fall into the preset threshold interval of each operation index.
When the fluctuation rate W is larger than the fluctuation rate threshold interval and the heating index V is larger than the heating index threshold interval, determining that the proportional gain of the current PID parameter of the water chiller is smaller and the integral gain is larger.
When the fluctuation rate W is larger than the fluctuation rate threshold interval and the heating index V is smaller than the heating index threshold interval, determining that the integral gain of the current PID parameter of the water chiller is reduced and the differential gain is increased.
When the fluctuation rate W is smaller than a fluctuation rate threshold interval and the heating index V is larger than a heating index threshold interval, determining that the integral gain of the current PID parameter of the water chiller is increased and the differential gain is decreased.
When the fluctuation rate W is smaller than a fluctuation rate threshold interval and the heating index V is smaller than a heating index threshold interval, the proportional gain, the integral gain and the differential gain of the current PID parameter of the water chiller are unchanged.
And the server determines PID parameter adjustment information to form a parameter update instruction according to a parameter adjustment strategy corresponding to the calculation result, and feeds the parameter update instruction back to a temperature adjustment module of the water chiller through the main control device.
Further, the temperature regulation module leaves the factory and presets PID parameters for temperature regulation, and the panel of the water chiller is provided with a control reset button for recovering the preset PID parameters.
Further, when the calculation result falls into a threshold interval of each preset operation index, the PID parameter is not adjusted; and when the calculation result does not fall into a threshold value interval of each preset operation index and the calculation result meets the corresponding parameter adjustment strategy, adjusting the proportional gain, the integral gain and the differential gain in the PID parameter through a preset stepping value.
Further, the adjusting the PID parameters further includes: and multiplying the preset stepping value by a preset multiplying power to serve as an increment to adjust the proportional gain, the integral gain and the differential gain in the PID parameters.
Further, the second period T2 is greater than the first period T1, the history time T3 is greater than the second period T2, the first period T1 is 5 seconds, and the second period T2 is 30 seconds; the historical time T3 is 180 seconds.
Further, the temperature regulation module performs pressure control on the water chiller based on a PID algorithm to regulate fluid velocity, the pressure control including pump pressure or compressor pressure.
Furthermore, the water chiller temperature adjustment module does not involve a processor, and a state machine is used for implementing PID temperature control.
Further, each group of periodic data reported by the data acquisition module further comprises identification information of the water chiller, and the identification information is used for the server to uniquely index the acquired data in a time sequence database.
Further, the server side is provided with a management background, the management background is used for an operation and maintenance person to adjust the threshold interval related to the operation index, and the management background forms a multi-dimensional operation report according to the historical data of the time sequence database so that the operation and maintenance person can conveniently implement operation and maintenance management.
The application also relates to a water chiller temperature control method based on the Internet of things technology, which is applied to the water chiller temperature control system based on the Internet of things technology.
The beneficial technical effects of the invention include: based on the application of the internet of things technology, the terminal sensor is used for collecting the running parameter data of the water chiller, which can reflect the real-time temperature state, and storing the running parameter data into the real-time database, then the specific running index is calculated, the PID parameter adjustment strategy is combined, the PID parameter update instruction is fed back to the water chiller, and the data collection, identification, calculation and representation of the running state of the water chiller can be realized through the management background of the server.
The data acquisition relates to the temperature of the water chiller outlet and the temperature of the water chiller reflux outlet, the correlation performance reflects the actual effect of fluid flowing through the temperature control equipment, and the collected pump pressure and the actual temperature of the temperature control equipment are combined to quantitatively evaluate the temperature control of the water chiller.
The time sequence database is used for storing the acquired data, and the subsequent index calculation of the historical data is facilitated based on the special statistical performance of the time sequence database. And a specific fluctuation rate and a heating index operation index are set and are used as influencing factors of three parameters of PID temperature control, and a specific PID parameter adjustment strategy is combined, so that the operation amount is proper on one hand, the characteristics of the three parameters in PID control are matched on the other hand, the reliable dynamic temperature control of the water chiller is realized, the energy is saved, and the operation and the maintenance are convenient.
Drawings
Fig. 1: the system according to an embodiment of the invention constitutes a frame diagram.
Fig. 2: PID parameter adjustment strategy diagram according to an embodiment of the present invention.
Reference numerals:Kand p: the proportional gain is used to determine the gain,Ki: the gain of the integration is calculated,Kd: differential gain, W: fluctuation ratio, V: temperature increase index.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail below with reference to the accompanying drawings, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In an embodiment, as shown in fig. 1, a temperature control system of a chiller based on the internet of things technology includes a temperature control device, a chiller, a main control device and a server, wherein the chiller is used for performing PID temperature control on the temperature control device according to a set temperature, and the chiller includes a data acquisition module and a temperature adjustment module.
And a data acquisition module: the method comprises the steps of collecting the outlet temperature Tout, the reflux outlet temperature Tback, the pump pressure F and the actual temperature Treal of temperature control equipment of the water chiller through a sensor, and reporting collected data and a data collection time stamp to the main control device at a first period T1 at fixed time as a group of period data.
Alternatively, the first period T1 is 5 seconds, and a value near the set value may be selected in practical implementation.
The data acquisition time stamp is represented by Tc, and { Tc, tout, tback, F, treal } represents the acquired set of periodic data. Optional acquisition parameters include, but are not limited to, the parameters described above. For example, the system also comprises identification information of the water chiller, wherein the identification information is used for the server to uniquely index the acquired data in the time sequence database.
And a temperature adjusting module: the system is used for setting the target temperature Tset of the water chiller, controlling the pump pressure of the water chiller according to the current PID parameters, and receiving a parameter updating instruction issued by the main control device to update the current PID parameters.
Wherein, the temperature regulation module leaves the factory to preset PID parameter for temperature regulation, and the factory preset parameter can be an experience value determined by a technician according to a test index strategy in a test stage before the equipment leaves the factory; and the panel of the water chiller is provided with a control reset button for recovering preset PID parameters. For example, in environments where access to the server is difficult, or other abnormal interruption, the field personnel can select the mode of operation of the spam through the reset button.
It can be understood that the data acquisition module and the temperature regulation module are both arranged in the water chiller, fluid flows to the temperature control equipment through the outflow port of the water chiller, fluid is recovered through the backflow port of the water chiller, and the pump pressure of the water chiller provides the power of the fluid.
The temperature regulation module performs pressure control on the chiller based on a PID algorithm to regulate fluid speed, the pressure control including pump pressure or compressor pressure.
The water chiller is in communication connection with the main control device in a wired or wireless mode, and the main control device is used for carrying out centralized management on all water chillers in a management range. The main control device is in communication connection with the server through a wired or wireless mode, and can adapt to the requirements of temperature control equipment of different industrial sites through the distributed deployment setting, and then the server is subjected to centralized management and control.
Because the main body of the water chiller is fluid control related to temperature control and adjustment, complex arithmetic logic is not required, and in specific implementation, the water chiller temperature adjustment module can implement PID temperature control by adopting a state machine without involving a processor.
The main control device is used for managing a plurality of cold water machines in an area and is responsible for relaying data information between the cold water machines and the service end and sending the current target temperature Tset of the cold water machines and the group of periodic data to the service end as a group of time sequence data.
The server is used for receiving the time sequence data reported by the main control device and storing the time sequence data into a time sequence database, and simultaneously, calculating the operation index of the water chiller in the past historical time T3 at a timing of a second period T2.
The second period T2 is greater than the first period T1, the history time T3 is greater than the second period T2, the second period T2 is 30 seconds, the history time T3 is 180 seconds, and a value near the set value may be selected in practical implementation.
The operation indexes comprise a fluctuation rate W and a temperature rise index V.
。
Wherein n is the number of groups of the corresponding water chiller acquisition data records in the time sequence database in the historical time T3,and (3) taking the average value of the pump pressure F in the collected data of the water chiller corresponding to the historical time T3 as the corresponding i-th group of collected data in the historical time T3 as each collected parameter containing the index i.
Presetting a threshold interval of each operation index, and determining a PID parameter adjustment strategy shown in fig. 2 when the calculation result does not fall into the preset threshold interval of each operation index.
Wherein,Kp、Ki、Kdthe proportional gain, the integral gain and the differential gain are respectively corresponding to the PID parameters.
And the server determines PID parameter adjustment information to form a parameter update instruction according to a parameter adjustment strategy corresponding to the calculation result, and feeds the parameter update instruction back to a temperature adjustment module of the water chiller through the main control device. Because the operation index reflects the real-time change condition of temperature control, the PID parameter is dynamically regulated through quantized index monitoring, the current temperature control effect can be tracked in real time, and the temperature control energy is saved.
The server side is provided with a management background, the management background is used for operation and maintenance personnel to adjust the threshold interval related to the operation index, and the threshold interval can be an experience value preset by a technician. The management background can also form a multi-dimensional operation report according to the historical data of the time sequence database so as to facilitate operation and maintenance personnel to implement operation and maintenance management.
Referring to fig. 2, when the calculation result falls within a preset threshold interval of each operation index, or when the fluctuation rate W is smaller than the fluctuation rate threshold interval and the temperature increase index V is smaller than the temperature increase index threshold interval, the PID parameter is not adjusted; and when the calculation result does not fall into a threshold value interval of each preset operation index and the calculation result meets the corresponding parameter adjustment strategy, adjusting the proportional gain, the integral gain and the differential gain in the PID parameter through a preset stepping value.
In addition, in some embodiments, different stepping degrees may be set according to the degree to which the operation index deviates from the threshold interval, that is, the proportional gain, the integral gain and the differential gain in the PID parameter may be adjusted by multiplying the preset stepping value by the preset multiplying factor as an increment. The extent to which the running index deviates from the threshold interval and the associated stepping degree are not limited herein, and are all contemplated in a manner that will be understood by those skilled in the art.
In addition, the invention also relates to a water chiller temperature control method based on the Internet of things technology, which is applied to the water chiller temperature control system based on the Internet of things technology.
The block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems according to various embodiments of the present disclosure. Each block in the block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. The units involved in the embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.
The foregoing description of the preferred embodiments of the present invention has been presented for purposes of clarity and understanding, and is not intended to limit the invention to the particular embodiments disclosed, but is intended to cover all modifications, alternatives, and improvements within the spirit and scope of the invention as outlined by the appended claims.
Claims (9)
1. The water chiller temperature control system based on the internet of things is characterized by comprising temperature control equipment, a water chiller, a main control device and a service end, wherein the water chiller is used for performing PID temperature control on the temperature control equipment according to set temperature, and comprises a data acquisition module and a temperature regulation module; and a data acquisition module: collecting the outlet temperature Tout, the reflux outlet temperature Tback, the pump pressure F and the actual temperature Treal of temperature control equipment of the water chiller through a sensor, and reporting the collected data together with a data collection time stamp to the main control device at a first period T1 at regular time as a group of period data; and a temperature adjusting module: the system comprises a main control device, a parameter updating device, a control device and a control system, wherein the main control device is used for setting a target temperature Tset of the water chiller, performing pumping pressure control on the water chiller according to current PID parameters, and receiving a parameter updating instruction issued by the main control device to update the current PID parameters; the main control device is used for managing a plurality of cold water machines in an area and is responsible for relaying data information between the cold water machines and the service end, and sending the current target temperature Tset of the cold water machines and the group of periodic data to the service end as a group of time sequence data; the server is used for receiving the time sequence data reported by the main control device and storing the time sequence dataThe sequence database is used for calculating operation indexes of the water chiller in the past history time T3 at regular time according to a second period T2, wherein the operation indexes comprise a fluctuation rate W and a temperature rise index V;wherein n is the group number of the corresponding water chiller acquisition data records in the time sequence database in the historical time T3, and the water chiller acquisition data records are in a +.>The average value of the pump pressure F in the collected data of the water chiller corresponding to the historical time T3 is obtained, and all the collected parameters containing the subscript i are the collected data of the ith group corresponding to the historical time T3; presetting a threshold interval of each operation index, and determining the following PID parameter adjustment strategy when the calculation result does not fall into the threshold interval of each preset operation index: when the fluctuation rate W is larger than a fluctuation rate threshold value interval and the heating index V is larger than a heating index threshold value interval, determining that the proportional gain of the current PID parameter of the water chiller is reduced, and the integral gain is increased; when the fluctuation rate W is larger than a fluctuation rate threshold interval and the heating index V is smaller than a heating index threshold interval, determining that the integral gain of the current PID parameter of the water chiller is reduced and the differential gain is increased; when the fluctuation rate W is smaller than a fluctuation rate threshold interval and the heating index V is larger than a heating index threshold interval, determining that the integral gain of the current PID parameter of the water chiller is increased and the differential gain is reduced; when the fluctuation rate W is smaller than a fluctuation rate threshold interval and the heating index V is smaller than a heating index threshold interval, determining that the proportional gain, the integral gain and the differential gain of the current PID parameter of the water chiller are unchanged; when the calculation result falls into a threshold interval of each preset operation index, the PID parameters are not adjusted; when the calculation result does not fall into a threshold interval of each preset operation index and the calculation result meets the corresponding parameter adjustment strategy, adjusting the proportional gain, the integral gain and the differential gain in the PID parameter through a preset stepping value; the server determines PID parameter adjustment information to form a parameter update instruction according to a parameter adjustment strategy corresponding to the calculation result, and feeds the parameter update instruction back to the temperature adjustment of the water chiller through the main control deviceAnd (5) a module.
2. The system of claim 1, wherein the temperature adjustment module leaves a factory preset PID parameters for temperature adjustment, and the chiller panel sets a control reset button for restoring the preset PID parameters.
3. The system of claim 1, wherein the adjusting of the PID parameters further comprises: and multiplying the preset stepping value by a preset multiplying power to serve as an increment to adjust the proportional gain, the integral gain and the differential gain in the PID parameters.
4. The system of claim 1, wherein the second period T2 is greater than the first period T1, the history time T3 is greater than the second period T2, the first period T1 is 5 seconds, and the second period T2 is 30 seconds; the historical time T3 is 180 seconds.
5. The system of claim 1, wherein the temperature regulation module performs pressure control on the chiller to regulate fluid velocity based on a PID algorithm, the pressure control comprising a pump pressure or a compressor pressure.
6. The system of claim 1, wherein the chiller temperature adjustment module does not involve a processor, and employs a state machine to implement PID temperature control.
7. The system of claim 1, wherein each set of periodic data reported by the data acquisition module further comprises identification information of the chiller, the identification information being used by a server to uniquely index the acquired data in a time-series database.
8. The system of claim 1, wherein the server sets a management background, the management background is used for an operation and maintenance person to adjust the threshold interval related to the operation index, and the management background forms a multi-dimensional operation report according to historical data of a time sequence database so that the operation and maintenance person can implement operation and maintenance management.
9. The water chiller temperature control method based on the internet of things is characterized by being applied to the water chiller temperature control system based on the internet of things according to any one of claims 1-8.
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