CN113531838A - Refrigeration control method and system for intelligently adjusting space temperature - Google Patents
Refrigeration control method and system for intelligently adjusting space temperature Download PDFInfo
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Abstract
The invention provides a refrigeration control method and a refrigeration control system for intelligently adjusting space temperature, wherein the method comprises the following steps: obtaining a first image set of a first space, and obtaining first space distribution information of the workpiece according to the first image set; the method comprises the steps of obtaining refrigeration air outlet information of an intelligent control system, and obtaining first air outlet position distribution information according to the refrigeration air outlet information; acquiring corresponding first air outlet information of the first workpiece according to the first air outlet position distribution information; obtaining a heating temperature distribution range of the first workpiece, and obtaining a first region division result according to the heating temperature distribution range; inputting the first air outlet information and the first area division result into an intelligent processing model, and obtaining a temperature control result of the first air outlet according to the intelligent processing model; and performing refrigeration control of the first space at the first air outlet based on a temperature control result. The technical problem of poor applicability in the prior art because the temperature control is mainly integral temperature control and is not suitable for instruments with multi-dimensional temperature requirements is solved.
Description
Technical Field
The invention relates to the technical field of intelligent manufacturing, in particular to a refrigeration control method and system for intelligently adjusting space temperature.
Background
With the rise of artificial intelligence in recent years, concepts such as internet of things and intelligent manufacturing are put forward and are continuously put into practice, and great progress is made. In the intelligent process, along with the continuous update of machines for improving the production efficiency, a large amount of heat which is difficult to control is generated in the working process, and the temperature control of a working instrument is a necessary condition for ensuring the normal work of the instrument.
The traditional temperature control technology mainly carries out integral temperature reduction control on the instrument, but actually along with the continuous improvement of the precision of the manufacturing process, the requirements of different areas of the same instrument on the temperature are different.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:
in the prior art, temperature control is mainly integral temperature control, so that the method is not suitable for instruments with multi-dimensional temperature requirements, and has the technical problem of poor applicability.
Disclosure of Invention
The embodiment of the application provides a refrigeration control method and system for intelligently adjusting space temperature, and solves the technical problem that in the prior art, temperature control is mainly integral temperature control, so that the method and system are not suitable for instruments with multi-dimensional temperature requirements, and are poor in applicability. Different temperature setting areas are divided through workpiece temperature distribution information, air outlet information close to each temperature setting area of a workpiece needing temperature control is collected, the temperature of each temperature setting area is controlled within a required temperature interval through regulating and controlling the temperature and the air speed of different air outlets, and the technical effect of improving the temperature control fineness is achieved.
In view of the foregoing problems, embodiments of the present application provide a refrigeration control method and system for intelligently adjusting a temperature of a space.
In a first aspect, an embodiment of the present application provides a refrigeration control method for intelligently adjusting a temperature of a space, where the method is applied to an intelligent control system, the system is in communication connection with a first image capture device, and the method includes: obtaining a first image set of a first space through the first image acquisition device, and obtaining first spatial distribution information of the workpiece according to the first image set; obtaining refrigeration air outlet information of the intelligent control system, and obtaining first air outlet position distribution information according to the refrigeration air outlet information; acquiring corresponding first air outlet information of a first workpiece according to the first air outlet position distribution information; obtaining a heating temperature distribution range of the first workpiece, and obtaining a first region division result according to the heating temperature distribution range; inputting the first air outlet information and the first area division result into an intelligent processing model, and obtaining a temperature control result of the first air outlet according to the intelligent processing model; and performing refrigeration control of the first space at the first air outlet based on the temperature control result.
In another aspect, an embodiment of the present application provides a refrigeration control system for intelligently adjusting a temperature of a space, where the system includes: the first obtaining unit is used for obtaining a first image set of a first space through a first image acquisition device and obtaining first spatial distribution information of the workpiece according to the first image set; the second obtaining unit is used for obtaining the refrigeration air outlet information of the intelligent control system and obtaining the position distribution information of the first air outlet according to the refrigeration air outlet information; the third obtaining unit is used for obtaining corresponding first air outlet information of the first workpiece according to the first air outlet position distribution information; a fourth obtaining unit, configured to obtain a heating temperature distribution range of the first workpiece, and obtain a first region division result according to the heating temperature distribution range; the first input unit is used for inputting the information of the first air outlet and the first area division result into an intelligent processing model and obtaining a temperature control result of the first air outlet according to the intelligent processing model; and the first execution unit is used for performing refrigeration control on the first space at the first air outlet based on the temperature control result.
In a third aspect, an embodiment of the present application provides a refrigeration control system for intelligently adjusting the temperature of a space, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method according to any one of the first aspect when executing the program.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
obtaining a first image set of a first space by the first image acquisition device, and obtaining first space distribution information of the workpiece according to the first image set; obtaining refrigeration air outlet information of the intelligent control system, and obtaining first air outlet position distribution information according to the refrigeration air outlet information; acquiring corresponding first air outlet information of a first workpiece according to the first air outlet position distribution information; obtaining a heating temperature distribution range of the first workpiece, and obtaining a first region division result according to the heating temperature distribution range; inputting the first air outlet information and the first area division result into an intelligent processing model, and obtaining a temperature control result of the first air outlet according to the intelligent processing model; based on the temperature control result is right the first air outlet carries out the technical scheme of the refrigeration control in first space divides different settlement temperature regions through work piece temperature distribution information, gathers the air outlet information that the temperature zone is close to is set for to each of the temperature control work piece, through the temperature and the wind speed of the different air outlets of regulation and control, with each temperature control of setting for the temperature region within the demand temperature interval, has reached the technological effect that improves the accuse temperature fineness.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
Fig. 1 is a schematic flow chart of a refrigeration control method for intelligently adjusting the temperature of a space according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of a method for constructing an intelligent processing model according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of a refrigeration control system for intelligently adjusting the temperature of a space according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: the device comprises a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a first input unit 15, a first execution unit 16, an electronic device 300, a memory 301, a processor 302, a communication interface 303 and a bus architecture 304.
Detailed Description
The embodiment of the application provides a refrigeration control method and system for intelligently adjusting space temperature, and solves the technical problem that in the prior art, temperature control is mainly integral temperature control, so that the method and system are not suitable for instruments with multi-dimensional temperature requirements, and are poor in applicability. Different temperature setting areas are divided through workpiece temperature distribution information, air outlet information close to each temperature setting area of a workpiece needing temperature control is collected, the temperature of each temperature setting area is controlled within a required temperature interval through regulating and controlling the temperature and the air speed of different air outlets, and the technical effect of improving the temperature control fineness is achieved.
Summary of the application
With the rise of artificial intelligence in recent years, concepts such as internet of things and intelligent manufacturing are put forward and are continuously put into practice, and great progress is made. In the intelligent process, along with the continuous update of machines for improving the production efficiency, a large amount of heat which is difficult to control is generated in the working process, and the temperature control of a working instrument is a necessary condition for ensuring the normal work of the instrument. The traditional temperature control technology mainly carries out integral temperature reduction control on the instrument, but actually along with the continuous improvement of the precision of the manufacturing process, the requirements of different areas of the same instrument on the temperature are different. However, in the prior art, the temperature control is mainly integral temperature control, so that the method is not suitable for instruments with multi-dimensional temperature requirements, and has the technical problem of poor applicability.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides a refrigeration control method for intelligently adjusting space temperature, wherein the method is applied to an intelligent control system, the system is in communication connection with a first image acquisition device, and the method comprises the following steps: obtaining a first image set of a first space through the first image acquisition device, and obtaining first spatial distribution information of the workpiece according to the first image set; obtaining refrigeration air outlet information of the intelligent control system, and obtaining first air outlet position distribution information according to the refrigeration air outlet information; acquiring corresponding first air outlet information of a first workpiece according to the first air outlet position distribution information; obtaining a heating temperature distribution range of the first workpiece, and obtaining a first region division result according to the heating temperature distribution range; inputting the first air outlet information and the first area division result into an intelligent processing model, and obtaining a temperature control result of the first air outlet according to the intelligent processing model; and performing refrigeration control of the first space at the first air outlet based on the temperature control result.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, an embodiment of the present application provides a refrigeration control method for intelligently adjusting a temperature of a space, where the method is applied to an intelligent control system, the system is communicatively connected to a first image capture device, and the method includes:
s100: obtaining a first image set of a first space through the first image acquisition device, and obtaining first spatial distribution information of the workpiece according to the first image set;
specifically, the first image acquisition device refers to a device for acquiring an image of a workpiece inside the instrument, and preferably may be a small-sized camera device, a miniature camera, or the like; the first space refers to an inner space of an instrument which needs temperature control; the workpiece refers to working elements distributed in the first space in the instrument, that is, elements requiring temperature reduction or temperature control, including but not limited to: a motherboard, a chip, a heating workpiece or a workpiece being processed of the server; the first image collection means is an image collection for collecting detailed distribution information of the elements deployed in the first space by the first image collection device, and preferably selects image collection from multiple angles and multiple dimensions; the first spatial distribution information refers to the detailed distribution information of the workpiece in the first space obtained by extracting the feature data of the first image set, preferably by extracting through a convolutional neural network, and includes but is not limited to information such as the distribution position, the deployment height, the deployment level, and the heating requirement of the workpiece. And the distribution information of the workpiece in the first space is collected and stored, so that the feedback processing of the subsequent information is facilitated.
S200: obtaining refrigeration air outlet information of the intelligent control system, and obtaining first air outlet position distribution information according to the refrigeration air outlet information;
specifically, the refrigeration air outlet information of the intelligent control system refers to the refrigeration air outlet information distributed on the first space communicated with the inside of the first space, and is mainly used for cooling and controlling the temperature of each internal element; the first air outlet position distribution information refers to uploading position data of the refrigeration air outlet information distributed in the first space to the intelligent control system, and correspondingly storing the first air outlet position distribution information and the first space distribution information according to the air outlet and a corresponding workpiece. And the distribution information of the first air outlet position is called to determine each temperature control position node, so that the implementation of subsequent difference refined temperature control is facilitated.
S300: acquiring corresponding first air outlet information of a first workpiece according to the first air outlet position distribution information;
specifically, the first workpiece is the workpiece described above, the first air outlet information refers to matching and corresponding the first air outlet position distribution information and the first workpiece where the first air outlet is mainly close to, and storing the first air outlet position distribution information and the first air outlet information of the first workpiece, and the air outlets corresponding to the workpieces distributed in the first space are obtained by matching the first air outlet position distribution information and the first air outlet information of the first workpiece with each other, so that refined refrigeration temperature control can be performed on the first workpiece.
S400: obtaining a heating temperature distribution range of the first workpiece, and obtaining a first region division result according to the heating temperature distribution range;
specifically, the heating temperature distribution range of the first workpiece refers to a distribution set of normal working heating temperature intervals of different areas of the first workpiece in the first space; the first region division result refers to dividing the first workpiece into a plurality of regions according to different heating temperature intervals. Examples of non-limiting examples are: and (3) setting the normal working heating temperature interval of 30-35 ℃ as the dividing temperature of the first area, and setting the temperature interval of 35-40 ℃ as the second area to the Nth area. Generally, the working temperature of the first workpiece at the close position is close, so that the first workpiece can be divided into a section, when the working element is subjected to special temperature such as 34-39 ℃, the working element is preferably divided into more overlapped sections with adjacent sections of 35-40 ℃, and each section in the first section division result and the corresponding air outlet are stored. Through the basis a plurality of temperature regions will be divided to the temperature distribution scope that generates heat of first work piece, can be directed against the temperature interval of difference and control the temperature to corresponding temperature region, improved the fineness of refrigeration accuse temperature.
S500: inputting the first air outlet information and the first area division result into an intelligent processing model, and obtaining a temperature control result of the first air outlet according to the intelligent processing model;
s600: and performing refrigeration control of the first space at the first air outlet based on the temperature control result.
Specifically, the intelligent processing model is an intelligent processing model trained based on a deep neural network, and is trained through multiple sets of information of the first air outlet, information of the first area division result and identification information of a temperature control result of the first air outlet until output convergence of the intelligent processing model is obtained, and the intelligent processing model is obtained after supervised learning is finished; the temperature control result of the first air outlet is obtained through the intelligent processing model, so that control parameters of each area in the first area division result information can be obtained, and the control parameters comprise the wind speed information and the temperature information of all the first air outlets. The actual temperature of each area can be controlled within the corresponding temperature threshold interval through the temperature control parameters, so that the normal operation of the work of the first workpiece is ensured, and the temperature control effect is more remarkable due to differential temperature control.
Further, the method further includes step S700:
s710: obtaining a second air outlet according to the position distribution information of the first air outlet, wherein the second air outlet is the air outlet which is closest to the first air outlet in the first space;
s720: obtaining real-time temperature control parameters of the second air outlet;
s730: obtaining the relative position relation between the second air outlet and the first workpiece;
s740: obtaining a first influence parameter based on the real-time temperature control parameter and the relative position relation;
s750: adjusting the temperature control result based on the first influencing parameter;
s760: and performing refrigeration control on the first space at the first air outlet according to the adjusted temperature control result.
Specifically, the second outlet refers to an outlet closest to the first outlet in the first space, because the adjacent outlets controlling the temperatures in different areas may mutually affect each other, in order to reduce the effect, the following method is preferably adopted: the real-time temperature control parameters refer to real-time temperature control parameters corresponding to the second air port, and include parameters such as wind speed and temperature, and the collected real-time temperature control parameters are stored according to a time sequence; the relative position relationship refers to a position relationship between the first workpiece and the second air opening, and the optional determination mode is that the first workpiece is used as a fixed reference, and the position information of the second air opening is determined to obtain the relative position relationship; the first influence parameter refers to a temperature influence range of the real-time temperature control parameter in the first space which is determined based on the real-time temperature control parameter, and the influence range is compared with the relative position to obtain the influence degree of the real-time temperature control parameter on the temperature of the first workpiece; further, the temperature control result is adjusted according to the first influencing parameter, for example, without limitation, an adjusting method is as follows: if the first influence parameter has an influence on the first workpiece, namely the actual temperature is increased by 5 ℃, and the original temperature threshold interval of the first workpiece is between 35 ℃ and 40 ℃ of the second area, the temperature of the first workpiece is between 40 ℃ and 45 ℃ under the combined action of the first air opening and the second air opening during actual work, and the temperature control parameter of the first air opening is adjusted to the temperature control parameter corresponding to the temperature interval of between 30 ℃ and 35 ℃ in order to keep the working temperature of the first workpiece between 35 ℃ and 40 ℃. Through real-time detection the influence relation between the working temperature of the first workpiece and the temperature control parameters of the peripheral air ports, the temperature control result corresponding to the first air port is adjusted, the coordination of the first space after the working temperature of each area is differentiated is guaranteed, and the temperature control accuracy is improved.
Further, as shown in fig. 2, the intelligent control system is communicatively connected to the first collaboration system, and the method step S500 further includes:
s510: downloading a first base model through the first collaboration system;
s520: training the first basic model based on the first air outlet information and the first region division result to obtain a first model parameter;
s530: after the first model parameter is encrypted, sending the encrypted first model parameter to the first cooperation system;
s540: and obtaining an update parameter of a model through the first cooperation system, and updating the first basic model based on the update parameter to obtain the intelligent processing model, wherein the update parameter is obtained by integrating M encrypted model parameters received by the first cooperation system, and M is a natural number greater than or equal to 2.
Specifically, the first collaboration system refers to a system for coordinating data encryption sharing training models among a plurality of factories or enterprises; the first basic model refers to an original intelligent model for temperature control treatment; after the first basic model is downloaded through the first cooperation system, the first basic model is trained by using the first air outlet information and the first area division result; the first model parameter refers to the extracted model parameter of the first basic model after the output result of the first basic model reaches convergence, and the first model parameter is encrypted and then sent to the first collaboration system; the updating parameters refer to more comprehensive updating parameters obtained by integrating two or more than two model parameters provided by M participants using the intelligent temperature control system; and updating the first basic model based on the updating parameters to obtain the intelligent processing model, and when the intelligent control system needs to call the intelligent processing model, sending request information to the first cooperation system in real time, calling and processing data. Model updating parameters obtained by different participants comprise different scenes, so that the data volume is improved, the accuracy of the processing result of the intelligent processing model is enhanced, the risk of data leakage among the participants is avoided due to the encryption and the setting of the first cooperation system, and the safety of data interaction is improved.
Further, the method further includes step S800:
s810: obtaining real-time measured parameters of the first workpiece;
s820: evaluating the real-time cooling rate of the first workpiece according to the real-time measurement parameters to obtain a first evaluation result;
s830: acquiring air outlet speed distribution information of the first air outlet;
s840: and adjusting the temperature control result according to the air outlet rate distribution information and the first evaluation result, and performing refrigeration control of the first space on the first air outlet according to the adjusted temperature control result.
Specifically, the real-time measurement parameters of the first workpiece refer to working parameters measured in real time for the first workpiece, and are correspondingly stored according to a time sequence and a time node; the real-time cooling rate of the first workpiece refers to the corresponding real-time cooling rate obtained according to the collected working parameter variation trend of the first workpiece measured in real time; the first evaluation result is that whether the temperature of the first workpiece is out of control and exceeds the required working temperature or not is judged under the real-time cooling rate of the first workpiece according to the real-time cooling rate of the first workpiece; further, when it is determined that the real-time cooling rate of the first workpiece is faster or slower, the air outlet rate distribution information of the first air outlet is read, because the cooling rate of the first workpiece, i.e., the heat loss, and the air speed on the surface of the first workpiece are positively correlated, the specific relation needs to be determined by multiple sets of data according to the actual application scene. Furthermore, the temperature control result is adjusted based on the air-out rate distribution information and the first evaluation result, and the adjustment method is not limited: if the real-time cooling rate of the first workpiece is higher, the air outlet rate is correspondingly reduced; and if the real-time cooling rate of the first workpiece is lower, correspondingly improving the air outlet rate. And regulating and controlling the working temperature information of the first workpiece by regulating and controlling the air outlet speed distribution information of the first air outlet. In addition, the working temperature of the first workpiece can also be controlled by regulating and controlling the air outlet temperature of the first air outlet, and when the air outlet temperature of the first air outlet is higher, the cooling rate of the first workpiece is slower; when the air outlet temperature of the first air outlet is lower, the cooling rate of the first workpiece is higher. Through real-time monitoring the working parameters of the first workpiece, when the working temperature and the temperature change rate of the first workpiece are abnormal, the air speed and the temperature of the air outlet are timely adjusted, the working temperature of the first workpiece is guaranteed to be within an interval, and the intelligence of a temperature control system is improved.
Further, based on the fact that the intelligent control system is also in communication connection with the first temperature acquisition device, the method further includes step S900:
s910: acquiring real-time temperature time change information of the first workpiece through the temperature acquisition device;
s920: acquiring a temperature change node according to the real-time temperature and time change information to obtain a first acquisition result;
s930: performing characteristic analysis on the temperature change node according to the first acquisition result to obtain a first characteristic analysis result;
s940: and adjusting the temperature control result based on the characteristic analysis result.
Specifically, the temperature acquisition device refers to a device for acquiring the temperature of the first workpiece, and may be a micro temperature sensor or the like; the real-time temperature time change information of the first workpiece refers to temperature change trend information of the first workpiece, which is obtained by acquiring the temperature data of the first workpiece in real time according to the temperature acquisition device, correspondingly storing the temperature data with the acquired time point and arranging the temperature data through a time sequence; the temperature change node refers to inflection point temperatures changing in the real-time temperature time change information of the first workpiece, and the inflection points are stored to obtain the first acquisition result. Further, performing feature analysis on the change node obtained by the first acquisition result to obtain a feature analysis result, and adjusting the temperature control result based on the feature analysis result. Examples of the analysis method include: if the temperature suddenly rises from 45 ℃ to 60 ℃, the reason of the sudden temperature rise needs to be determined, for example, because the working load of the chip is suddenly increased and the regulation and control system does not react, the temperature sudden change situation can be correspondingly stored in the temperature control result, and when the working parameters of the chip are monitored to be the same as the working parameters during the temperature rise, the temperature reduction early warning control is performed in advance. And further adjusting the temperature control result by monitoring the working temperature of the first workpiece in real time and storing the possible emergency situation, thereby obtaining a more accurate temperature control parameter scheme.
Further, the method further includes step S1000:
s1010: obtaining a first preset parameter threshold value, and judging whether the temperature control result meets the first preset parameter threshold value;
s1020: when the temperature control result does not meet the first preset parameter threshold, obtaining a first early warning instruction;
s1030: and carrying out abnormity early warning on the first workpiece according to the first early warning instruction.
Specifically, the first preset parameter threshold refers to a preset temperature threshold; when the working temperature of the first workpiece exceeds the first preset parameter threshold, the first workpiece needs to be cooled through the temperature control result, and whether the working temperature of the first workpiece can be reduced to be below the first preset parameter threshold through the temperature control parameter in the temperature control result is judged according to the real-time cooling rate: if yes, cooling; if not, early warning is carried out through the first early warning instruction while the temperature is reduced. And ensuring the safe operation of the first workpiece.
Further, the method further includes step S1100:
s1110: obtaining first protection temperature information;
s1120: judging whether the temperature control result meets the first protection temperature information or not;
s1130: and when the temperature control result meets the first protection temperature information, releasing first protection gas, and performing test environment protection on the first space based on the first protection gas.
Specifically, the first protection temperature refers to a preset temperature for avoiding the condition that the temperature of the first workpiece is too low to cause condensation and solidification of water vapor, and the first protection temperature is preferably set to be 4 ℃; if after the temperature control of the temperature control result the temperature of the first workpiece reaches when the first protection temperature threshold value is not more than 4 ℃, then the first protection gas is released, and the first protection gas can maintain the temperature of the first space above the first protection temperature. Through the setting of first protection temperature avoids first work piece temperature is too low to lead to appearing the vapor condensation, and the condition of solidifying appears, has improved the precision of accuse temperature.
To sum up, the refrigeration control method and system for intelligently adjusting the space temperature provided by the embodiment of the application have the following technical effects:
1. obtaining a first image set of a first space by the first image acquisition device, and obtaining first space distribution information of the workpiece according to the first image set; obtaining refrigeration air outlet information of the intelligent control system, and obtaining first air outlet position distribution information according to the refrigeration air outlet information; acquiring corresponding first air outlet information of a first workpiece according to the first air outlet position distribution information; obtaining a heating temperature distribution range of the first workpiece, and obtaining a first region division result according to the heating temperature distribution range; inputting the first air outlet information and the first area division result into an intelligent processing model, and obtaining a temperature control result of the first air outlet according to the intelligent processing model; based on the temperature control result is right the first air outlet carries out the technical scheme of the refrigeration control in first space divides different settlement temperature regions through work piece temperature distribution information, gathers the air outlet information that the temperature zone is close to is set for to each of the temperature control work piece, through the temperature and the wind speed of the different air outlets of regulation and control, with each temperature control of setting for the temperature region within the demand temperature interval, has reached the technological effect that improves the accuse temperature fineness.
2. Model updating parameters obtained by different participants comprise different scenes, so that the data volume is improved, the accuracy of the processing result of the intelligent processing model is enhanced, the risk of data leakage among the participants is avoided due to the encryption and the setting of the first cooperation system, and the safety of data interaction is improved.
Example two
Based on the same inventive concept as the refrigeration control method for intelligently adjusting the temperature of the space in the foregoing embodiment, as shown in fig. 3, an embodiment of the present application provides a refrigeration control system for intelligently adjusting the temperature of the space, wherein the system includes:
a first obtaining unit 11, where the first obtaining unit 11 is configured to obtain a first image set of a first space through a first image acquisition device, and obtain first spatial distribution information of a workpiece according to the first image set;
the second obtaining unit 12, where the second obtaining unit 12 is configured to obtain cooling air outlet information of the intelligent control system, and obtain first air outlet position distribution information according to the cooling air outlet information;
a third obtaining unit 13, where the third obtaining unit 13 is configured to obtain corresponding first air outlet information of the first workpiece according to the first air outlet position distribution information;
a fourth obtaining unit 14, wherein the fourth obtaining unit 14 is configured to obtain a heating temperature distribution range of the first workpiece, and obtain a first region division result according to the heating temperature distribution range;
the first input unit 15 is configured to input the first outlet information and the first area division result into an intelligent processing model, and obtain a temperature control result of the first outlet according to the intelligent processing model;
a first execution unit 16, where the first execution unit 16 is configured to perform refrigeration control of the first space at the first air outlet based on the temperature control result.
Further, the system further comprises:
a fifth obtaining unit, configured to obtain a second air outlet according to the position distribution information of the first air outlet, where the second air outlet is an air outlet closest to the first air outlet in the first space;
a sixth obtaining unit, configured to obtain a real-time temperature control parameter of the second air outlet;
a seventh obtaining unit, configured to obtain a relative positional relationship between the second air outlet and the first workpiece;
an eighth obtaining unit, configured to obtain a first influence parameter based on the real-time temperature control parameter and the relative position relationship;
a first adjusting unit for adjusting the temperature control result based on the first influence parameter;
and the first control unit is used for performing refrigeration control on the first space at the first air outlet according to the adjusted temperature control result.
Further, the system further comprises:
a first downloading unit, configured to download a first base model through the first collaboration system;
the first training unit is used for training the first basic model based on the first air outlet information and the first region division result to obtain a first model parameter;
the first sending unit is used for sending the encrypted first model parameter to the first collaboration system after encrypting the first model parameter;
a ninth obtaining unit, configured to obtain, by the first collaboration system, an update parameter of a model, and update the first base model based on the update parameter to obtain the intelligent processing model, where the update parameter is obtained by integrating M encrypted model parameters received by the first collaboration system, and M is a natural number greater than or equal to 2.
Further, the system further comprises:
a tenth obtaining unit, configured to obtain real-time measurement parameters of the first workpiece;
an eleventh obtaining unit, configured to evaluate a real-time cooling rate of the first workpiece according to the real-time measurement parameter, so as to obtain a first evaluation result;
a twelfth obtaining unit, configured to obtain air outlet rate distribution information of the first air outlet;
and the second adjusting unit is used for adjusting the temperature control result according to the air outlet rate distribution information and the first evaluation result, and performing refrigeration control on the first space at the first air outlet according to the adjusted temperature control result.
Further, the system further comprises:
a thirteenth obtaining unit, configured to obtain real-time temperature time change information of the first workpiece through the temperature acquisition device;
a fourteenth obtaining unit, configured to perform temperature change node acquisition according to the real-time temperature time change information, and obtain a first acquisition result;
a fifteenth obtaining unit, configured to perform feature analysis on the temperature change node according to the first acquisition result to obtain a first feature analysis result;
a third adjusting unit configured to adjust the temperature control result based on the feature analysis result.
Further, the system further comprises:
a sixteenth obtaining unit, configured to obtain a first preset parameter threshold, and determine whether the temperature control result meets the first preset parameter threshold;
a seventeenth obtaining unit, configured to obtain a first warning instruction when the temperature control result does not meet the first preset parameter threshold;
and the eighteenth obtaining unit is used for carrying out abnormity early warning on the first workpiece according to the first early warning instruction.
Further, the system further comprises:
a nineteenth obtaining unit for obtaining first protection temperature information;
the first judging unit is used for judging whether the temperature control result meets the first protection temperature information or not;
and the first release unit is used for releasing first protective gas when the temperature control result meets the first protection temperature information, and testing environment protection is carried out on the first space based on the first protective gas.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to figure 4,
based on the same inventive concept as the refrigeration control method for intelligently adjusting the space temperature in the foregoing embodiment, the embodiment of the present application further provides a refrigeration control system for intelligently adjusting the space temperature, including: a processor coupled to a memory for storing a program that, when executed by the processor, causes a system to perform the method of any of the first aspects
The electronic device 300 includes: processor 302, communication interface 303, memory 301. Optionally, the electronic device 300 may also include a bus architecture 304. Wherein, the communication interface 303, the processor 302 and the memory 301 may be connected to each other through a bus architecture 304; the bus architecture 304 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus architecture 304 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 4, but this does not indicate only one bus or one type of bus.
The communication interface 303 is a system using any transceiver or the like, and is used for communicating with other devices or communication networks, such as ethernet, Radio Access Network (RAN), Wireless Local Area Network (WLAN), wired access network, and the like.
The memory 301 may be a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, an electrically erasable Programmable read-only memory (EEPROM), a compact disc read-only memory (compact disc)
read-only memory, CD-ROM) or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to such. The memory may be self-contained and coupled to the processor through a bus architecture 304. The memory may also be integral to the processor.
The memory 301 is used for storing computer-executable instructions for executing the present application, and is controlled by the processor 302 to execute. The processor 302 is configured to execute computer-executable instructions stored in the memory 301, so as to implement a refrigeration control method for intelligently adjusting the temperature of a space according to the above-mentioned embodiments of the present application.
Optionally, the computer-executable instructions in the embodiments of the present application may also be referred to as application program codes, which are not specifically limited in the embodiments of the present application.
The embodiment of the application provides a refrigeration control method for intelligently adjusting space temperature, wherein the method is applied to an intelligent control system, the system is in communication connection with a first image acquisition device, and the method comprises the following steps: obtaining a first image set of a first space through the first image acquisition device, and obtaining first spatial distribution information of the workpiece according to the first image set; obtaining refrigeration air outlet information of the intelligent control system, and obtaining first air outlet position distribution information according to the refrigeration air outlet information; acquiring corresponding first air outlet information of a first workpiece according to the first air outlet position distribution information; obtaining a heating temperature distribution range of the first workpiece, and obtaining a first region division result according to the heating temperature distribution range; inputting the first air outlet information and the first area division result into an intelligent processing model, and obtaining a temperature control result of the first air outlet according to the intelligent processing model; and performing refrigeration control of the first space at the first air outlet based on the temperature control result. Different temperature setting areas are divided through workpiece temperature distribution information, air outlet information close to each temperature setting area of a workpiece needing temperature control is collected, the temperature of each temperature setting area is controlled within a required temperature interval through regulating and controlling the temperature and the air speed of different air outlets, and the technical effect of improving the temperature control fineness is achieved.
Those of ordinary skill in the art will understand that: the various numbers of the first, second, etc. mentioned in this application are only used for the convenience of description and are not used to limit the scope of the embodiments of this application, nor to indicate the order of precedence. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one" means one or more. At least two means two or more. "at least one," "any," or similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one (one ) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable system. The computer finger
The instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, where the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device including one or more available media integrated servers, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The various illustrative logical units and circuits described in this application may be implemented or operated upon by general purpose processors, digital signal processors, Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other programmable logic systems, discrete gate or transistor logic, discrete hardware components, or any combination thereof. A general-purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing systems, e.g., a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.
The steps of a method or algorithm described in the embodiments herein may be embodied directly in hardware, in a software element executed by a processor, or in a combination of the two. The software cells may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. For example, a storage medium may be coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC, which may be disposed in a terminal. In the alternative, the processor and the storage medium may reside in different components within the terminal. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Although the present application has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the present application as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations.
Claims (6)
1. A refrigeration control method for intelligently adjusting the temperature of a space, wherein the method is applied to an intelligent control system, the system is in communication connection with a first image acquisition device, and the method comprises the following steps:
obtaining a first image set of a first space through the first image acquisition device, and obtaining first spatial distribution information of the workpiece according to the first image set;
obtaining refrigeration air outlet information of the intelligent control system, and obtaining first air outlet position distribution information according to the refrigeration air outlet information;
acquiring corresponding first air outlet information of a first workpiece according to the first air outlet position distribution information;
obtaining a heating temperature distribution range of the first workpiece, and obtaining a first region division result according to the heating temperature distribution range;
inputting the first air outlet information and the first area division result into an intelligent processing model, and obtaining a temperature control result of the first air outlet according to the intelligent processing model;
performing refrigeration control of the first space at the first air outlet based on the temperature control result;
wherein the method further comprises:
obtaining a second air outlet according to the position distribution information of the first air outlet, wherein the second air outlet is the air outlet which is closest to the first air outlet in the first space;
obtaining real-time temperature control parameters of the second air outlet;
obtaining the relative position relation between the second air outlet and the first workpiece;
obtaining a first influence parameter based on the real-time temperature control parameter and the relative position relation;
adjusting the temperature control result based on the first influencing parameter;
performing refrigeration control of the first space on the first air outlet according to the adjusted temperature control result;
wherein the intelligent control system is in communication connection with a first collaboration system, the method further comprising:
downloading a first base model through the first collaboration system;
training the first basic model based on the first air outlet information and the first region division result to obtain a first model parameter;
after the first model parameter is encrypted, sending the encrypted first model parameter to the first cooperation system;
obtaining an update parameter of a model through the first cooperation system, and updating the first basic model based on the update parameter to obtain the intelligent processing model, wherein the update parameter is obtained by integrating M encrypted model parameters received by the first cooperation system, and M is a natural number greater than or equal to 2;
wherein the method further comprises:
obtaining real-time measured parameters of the first workpiece;
evaluating the real-time cooling rate of the first workpiece according to the real-time measurement parameters to obtain a first evaluation result;
acquiring air outlet speed distribution information of the first air outlet;
and adjusting the temperature control result according to the air outlet rate distribution information and the first evaluation result, and performing refrigeration control of the first space on the first air outlet according to the adjusted temperature control result.
2. The method of claim 1, wherein the intelligent control system is further communicatively coupled to a first temperature acquisition device, the method further comprising:
acquiring real-time temperature time change information of the first workpiece through the temperature acquisition device;
acquiring a temperature change node according to the real-time temperature and time change information to obtain a first acquisition result;
performing characteristic analysis on the temperature change node according to the first acquisition result to obtain a first characteristic analysis result;
and adjusting the temperature control result based on the characteristic analysis result.
3. The method of claim 1, wherein the method further comprises:
obtaining a first preset parameter threshold value, and judging whether the temperature control result meets the first preset parameter threshold value;
when the temperature control result does not meet the first preset parameter threshold, obtaining a first early warning instruction;
and carrying out abnormity early warning on the first workpiece according to the first early warning instruction.
4. The method of claim 1, further comprising:
obtaining first protection temperature information;
judging whether the temperature control result meets the first protection temperature information or not;
and when the temperature control result meets the first protection temperature information, releasing first protection gas, and performing test environment protection on the first space based on the first protection gas.
5. A refrigeration control system for intelligently adjusting the temperature of a space, wherein the system comprises:
the first obtaining unit is used for obtaining a first image set of a first space through a first image acquisition device and obtaining first spatial distribution information of the workpiece according to the first image set;
the second obtaining unit is used for obtaining the refrigeration air outlet information of the intelligent control system and obtaining the position distribution information of the first air outlet according to the refrigeration air outlet information;
the third obtaining unit is used for obtaining corresponding first air outlet information of the first workpiece according to the first air outlet position distribution information;
a fourth obtaining unit, configured to obtain a heating temperature distribution range of the first workpiece, and obtain a first region division result according to the heating temperature distribution range;
the first input unit is used for inputting the information of the first air outlet and the first area division result into an intelligent processing model and obtaining a temperature control result of the first air outlet according to the intelligent processing model;
the first execution unit is used for performing refrigeration control on the first space at the first air outlet based on the temperature control result;
the system further comprises:
a fifth obtaining unit, configured to obtain a second air outlet according to the position distribution information of the first air outlet, where the second air outlet is an air outlet closest to the first air outlet in the first space;
a sixth obtaining unit, configured to obtain a real-time temperature control parameter of the second air outlet;
a seventh obtaining unit, configured to obtain a relative positional relationship between the second air outlet and the first workpiece;
an eighth obtaining unit, configured to obtain a first influence parameter based on the real-time temperature control parameter and the relative position relationship;
a first adjusting unit for adjusting the temperature control result based on the first influence parameter;
the first control unit is used for performing refrigeration control on the first space at the first air outlet according to the adjusted temperature control result;
a first downloading unit, configured to download a first base model through the first collaboration system;
the first training unit is used for training the first basic model based on the first air outlet information and the first region division result to obtain a first model parameter;
the first sending unit is used for sending the encrypted first model parameter to the first collaboration system after encrypting the first model parameter;
a ninth obtaining unit, configured to obtain an update parameter of a model through the first collaboration system, and update the first base model based on the update parameter to obtain the intelligent processing model, where the update parameter is obtained by integrating M encrypted model parameters received by the first collaboration system, and M is a natural number greater than or equal to 2;
a tenth obtaining unit, configured to obtain real-time measurement parameters of the first workpiece;
an eleventh obtaining unit, configured to evaluate a real-time cooling rate of the first workpiece according to the real-time measurement parameter, so as to obtain a first evaluation result;
a twelfth obtaining unit, configured to obtain air outlet rate distribution information of the first air outlet;
and the second adjusting unit is used for adjusting the temperature control result according to the air outlet rate distribution information and the first evaluation result, and performing refrigeration control on the first space at the first air outlet according to the adjusted temperature control result.
6. A refrigeration control system for intelligently adjusting the temperature of a space, comprising: a processor coupled with a memory, the memory for storing a program that, when executed by the processor, causes a system to perform the method of any of claims 1 to 4.
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