CN116907062A - Dynamic adjustment method and system suitable for equalization air supply of high-large space air conditioner - Google Patents
Dynamic adjustment method and system suitable for equalization air supply of high-large space air conditioner Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
- F24F11/74—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
- F24F11/77—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity by controlling the speed of ventilators
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/54—Control or safety arrangements characterised by user interfaces or communication using one central controller connected to several sub-controllers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
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- F24F11/63—Electronic processing
- F24F11/65—Electronic processing for selecting an operating mode
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
- F24F2110/12—Temperature of the outside air
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/20—Humidity
- F24F2110/22—Humidity of the outside air
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
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Abstract
The application discloses a dynamic adjustment method and a system suitable for balanced air supply of a high-large space air conditioner, wherein the method comprises the following steps: based on the current outdoor temperature and humidity data, the current indoor temperature and humidity data and the target control parameters, matching to obtain initial control strategy items from a season control database so as to execute automatic air supply control of the air conditioner; obtaining an adjustment control strategy item from a season control database based on the outdoor temperature and humidity data, the indoor temperature and humidity data and the target control parameters after a preset time interval so as to execute automatic air supply control of the air conditioner; and analyzing and processing the indoor temperature and humidity data, the target control parameters and all outdoor temperature and humidity data after air supply of the air conditioner through a preset seasonal control model to obtain an optimal control strategy item, executing automatic air supply control of the air conditioner by adopting the optimal control strategy item, and continuously and automatically optimizing the control parameters through a machine self-learning optimal control algorithm to realize consistency of air conditioner control in a large space.
Description
Technical Field
The application relates to the technical field of air conditioner air supply regulation and control, in particular to a dynamic regulation method and a system suitable for equalizing air supply of an air conditioner in a large space.
Background
The height of the rolling workshop of the cigarette factory reaches more than 6 meters, the air supply distance of a single air conditioner air supply pipe is 240 meters, each air supply pipe is provided with 24 rotational flow air outlets, the total length of the rolling workshop is 420 meters, and 6 12 ten thousand air quantity central air conditioning units provide air conditioning refrigeration heat sources for the workshop, and the rolling workshop belongs to a typical high and large space. However, the air supply of the high and large space equalization is always a great difficulty puzzling the air conditioning industry, and many professional groups are researched and developed for the air supply equalization of the high and large space central air conditioner, but at present, a set of control system capable of automatically and dynamically adjusting the air supply of the air conditioner according to different seasons and different outside natural environment humiture is not designed, and the temperature and humidity equalization of workshops under different seasons and different outside humiture environments cannot be realized.
Accordingly, there is an urgent need to develop a dynamic adjustment method, system, electronic device and storage medium suitable for equalizing air supply of a high-volume air conditioner to solve the above-mentioned problems.
Disclosure of Invention
The application aims to provide a novel technical scheme of a dynamic adjustment method and a system suitable for balanced air supply of an air conditioner in a large space.
According to a first aspect of the present application, there is provided a dynamic adjustment method for equalizing supply air of a tall space air conditioner, the method comprising:
step S1: determining a corresponding season control database and a preset season control model according to preset season mode information of the air conditioner after the air conditioner is started;
step S2: based on the obtained current outdoor temperature and humidity data, the current indoor temperature and humidity data and the set target control parameters, matching the current outdoor temperature and humidity data, the current indoor temperature and humidity data and the set target control parameters from the seasonal control database to obtain an initial control strategy entry, and realizing automatic air supply control of the air conditioner by adopting the initial control strategy entry;
step S3: obtaining an adjustment control strategy item from the season control database based on outdoor temperature and humidity data, indoor temperature and humidity data and the target control parameter obtained after a preset time interval, so as to realize automatic air supply control of the air conditioner by adopting the adjustment control strategy item;
step S4: and analyzing and processing the indoor temperature and humidity data acquired after air conditioning air supply, the target control parameters and all acquired outdoor temperature and humidity data through the preset seasonal control model to generate an optimized control strategy entry, and storing the optimized control strategy entry into the seasonal control database so as to execute automatic air supply control of the air conditioner by adopting the optimized control strategy entry.
Optionally, in the step S1, the preset season control model is a winter control model, a summer control model, or a spring and autumn control model.
Optionally, in the step S1, the step of establishing the preset seasonal control model specifically includes:
step 01: respectively acquiring air conditioner operation data, outdoor temperature and humidity data and indoor temperature and humidity data of different coordinate points in a preset season mode, wherein the preset season mode is a winter heating mode, a summer refrigeration mode or a spring and autumn mode;
step 02: a temperature and humidity field model of a workshop is built in advance by utilizing a three-dimensional modeling technology and a CFD dynamic simulation technology;
step 03: and training the temperature and humidity field model by using the air conditioner operation data, the outdoor temperature and humidity data and the indoor temperature and humidity data of different coordinate points which are obtained in a preset season mode to obtain the preset season control model.
Optionally, in the step 01, the air conditioner operation data includes: data of temperature and humidity of return air, data of wind speed, data of opening degree, data of flow speed and data of flow rate of each air port air valve and each steam valve;
when the preset season mode is a winter heating mode or a summer refrigerating mode, the air conditioner operation data further comprise air outlet air speed data and temperature and humidity data when all air outlet air valves of the air conditioner are fully opened, high air speed and temperature and humidity data of a preset height from the ground, air outlet air speed data and temperature and humidity data when all air outlet air valves of the air conditioner are 50% opened, and high air speed and temperature and humidity data of a preset height from the ground.
Optionally, in step S1, the season control database includes a plurality of control policy entries, where the control policy entries are obtained by automatically optimizing the preset season control model according to indoor temperature and humidity data collected after air conditioning air supply corresponding to different outdoor environment temperatures and humidity.
According to a second aspect of the present application, there is provided a dynamic adjustment system for equalizing supply air of a high-volume air conditioner, the system comprising a data storage server and an artificial intelligence analysis processing server;
the data storage server is configured to store preset season mode information, set target control parameters, all outdoor temperature and humidity data and all indoor temperature and humidity data of the air conditioner;
the artificial intelligence analysis processing server specifically includes:
the determining module is configured to determine a corresponding season control database and a preset season control model according to preset season mode information of the air conditioner after the air conditioner is started;
the strategy matching module is configured to obtain an initial control strategy item from the season control database based on the acquired current outdoor temperature and humidity data, the current indoor temperature and humidity data and the set target control parameters in a matching mode so as to realize automatic air supply control of the air conditioner by adopting the initial control strategy item; the adjustment control strategy item is obtained by matching from the season control database based on the outdoor temperature and humidity data, the indoor temperature and humidity feedback data and the target control parameter obtained after a preset time interval, so that the automatic air supply control of the air conditioner is realized by adopting the adjustment control strategy item;
and the optimizing module is configured to analyze and process the indoor temperature and humidity data acquired after air conditioning air supply, the target control parameters and all acquired outdoor temperature and humidity data through the preset season control model to generate an optimizing control strategy item, and store the optimizing control strategy item into the season control database so as to execute automatic air supply control of the air conditioner by adopting the optimizing control strategy item.
Optionally, the system further comprises a plurality of temperature and humidity sensors connected with the data storage server, and the temperature and humidity sensors are respectively arranged outside the workshop, in different coordinate points in the workshop and in the air conditioner air pipe.
Optionally, the system further comprises an operation execution server connected with the artificial intelligence analysis processing server, wherein the operation execution server processes the optimized control strategy item to obtain an execution instruction set, and the execution instruction set is issued to a feedback execution mechanism to realize automatic air supply control of the air conditioner.
According to a third aspect of the present application, there is provided an electronic device comprising a memory and a processor, the memory storing a computer program, the processor implementing the steps in the dynamic adjustment method for equalizing air supply of a high-volume air conditioner according to the first aspect of the present application when executing the computer program.
According to a fourth aspect of the present application, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the dynamic adjustment method for equalizing air supply of a high-rise air conditioner according to the first aspect of the present application described above.
According to one embodiment of the present disclosure, the following beneficial effects are provided:
the dynamic adjustment method suitable for balanced air supply of the high-large space air conditioner can continuously and automatically optimize control parameters by a machine self-learning optimization control algorithm only by providing basic parameters once, achieves infinite approaching of control effects and target effects, achieves the most energy-saving operation while achieving the control effects by an intelligent control algorithm, can be suitable for balanced air supply regulation and control of all high-large space air conditioning systems, and achieves consistency of high-large space air conditioning control.
Other features of the present application and its advantages will become apparent from the following detailed description of exemplary embodiments of the application, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description, serve to explain the principles of the application.
FIG. 1 is a flow chart of a dynamic adjustment method for equalizing air supply of a tall and large space air conditioner according to an embodiment;
fig. 2 is a schematic diagram of a construction flow of a preset season control model in a dynamic adjustment method suitable for equalizing air supply of a tall space air conditioner according to an embodiment;
FIG. 3 is a block diagram of a dynamic adjustment system for equalizing air supply for a tall space air conditioner according to an embodiment;
fig. 4 is a block diagram of an electronic device according to an embodiment.
Detailed Description
Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present application unless it is specifically stated otherwise.
The following description of at least one exemplary embodiment is merely exemplary in nature and is in no way intended to limit the application, its application, or uses.
Techniques, methods, and apparatus known to one of ordinary skill in the relevant art may not be discussed in detail, but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any specific values should be construed as merely illustrative, and not a limitation. Thus, other examples of exemplary embodiments may have different values.
Example 1:
referring to fig. 1, the present embodiment provides a dynamic adjustment method suitable for equalizing air supply of a large-sized air conditioner, which includes:
step S1: determining a corresponding season control database and a preset season control model according to preset season mode information of the air conditioner after the air conditioner is started;
it should be noted that, in this embodiment, the preset season mode information is a winter heating mode, a summer cooling mode or a spring and autumn mode, and may of course further include other air conditioner operation parameter information, for example: the setting of the target temperature and the like are not described in detail herein; in this embodiment, the season control database is a winter control database, a summer control database or a spring and autumn control database, and each season control database includes a plurality of control strategy entries obtained by analysis of a preset season model.
Step S2: based on the obtained current outdoor temperature and humidity data, the current indoor temperature and humidity data and the set target control parameters, matching to obtain an initial control strategy item from a season control database so as to realize automatic air supply control of the air conditioner by adopting the initial control strategy item;
in this embodiment, after the air conditioner is started, an initial control strategy entry is first selected from the corresponding season control data according to the current indoor and outdoor temperature and humidity data and the set target control parameters, and the air conditioner is automatically controlled through the initial control strategy entry. In this embodiment, the target control parameters include a target temperature and humidity to be achieved indoors.
Step S3: obtaining an adjustment control strategy item from a seasonal control database based on outdoor temperature and humidity data, indoor temperature and humidity data and target control parameters obtained after a preset time interval, so as to realize automatic air supply control of the air conditioner by adopting the adjustment control strategy item;
in this embodiment, after the air conditioner operates for a preset time, outdoor temperature and humidity data at this time and indoor temperature and humidity data fed back after air supply by the air conditioner at this time are obtained, and an adjustment control strategy entry is screened again from the corresponding season control data by combining with the target control parameters, and the air conditioner is automatically controlled through the adjustment control strategy entry. In this embodiment, the preset time interval may be 1 hour, 2 hours, or 3 hours, or the like, but may be other time intervals, which are not illustrated herein, according to actual needs. In addition, step S3 in the present embodiment is a repeated step, and adjustment of the control policy entry is performed every predetermined time interval.
Step S4: and analyzing and processing the indoor temperature and humidity data, the target control parameters and all acquired outdoor temperature and humidity data acquired after air conditioning air supply through a preset seasonal control model to generate an optimal control strategy entry, and storing the optimal control strategy entry into a seasonal control database to execute automatic air supply control of the air conditioner by adopting the optimal control strategy entry.
In this embodiment, intelligent analysis is performed on indoor temperature and humidity data fed back after air supply of the air conditioner by combining target control parameters and all acquired outdoor temperature and humidity data through a preset seasonal control model, so that a new control strategy entry is obtained through optimization, and the new control strategy entry is stored in a corresponding seasonal control database, so that the seasonal control database is continuously enriched by data acquired through an automatic control process of the air conditioner.
Optionally, in step S1, the preset season control model is a winter control model, a summer control model, or a spring and autumn control model.
Optionally, referring to fig. 2, in step S1, the method for dynamically adjusting the equalization air supply of the air conditioner for a large space according to the embodiment specifically includes the steps of:
step 01: respectively acquiring air conditioner operation data, outdoor temperature and humidity data and indoor temperature and humidity data of different coordinate points in a preset season mode, wherein the preset season mode is a winter heating mode, a summer refrigeration mode or a spring and autumn mode;
step 02: a temperature and humidity field model of a workshop is built in advance by utilizing a three-dimensional modeling technology and a CFD dynamic simulation technology;
step 03: and training a temperature and humidity field model by using the air conditioner operation data, the outdoor temperature and humidity data and the indoor temperature and humidity data of different coordinate points which are obtained in the preset season mode to obtain a preset season control model.
Optionally, in step 01, the dynamic adjustment method suitable for equalizing air supply of the air conditioner for a large space according to the embodiment includes: data of temperature and humidity of return air, data of wind speed, data of opening degree, data of flow speed and data of flow rate of each air port air valve and each steam valve;
when the preset seasonal mode is a winter heating mode or a summer refrigerating mode, the air conditioner operation data further comprise air outlet air speed data and temperature and humidity data when all air outlet air valves of the air conditioner are fully opened, high air speed and temperature and humidity data of a preset height from the ground, and air outlet air speed data and temperature and humidity data when all air outlet air valves of the air conditioner are 50% opened, and high air speed and temperature and humidity data of a preset height from the ground.
Optionally, in step S1 of the method for dynamically adjusting balanced air supply of an air conditioner for a large space according to the present embodiment, the season control database includes a plurality of control policy entries, and the control policy entries are obtained by automatically optimizing a preset season control model according to indoor temperature and humidity data collected after air supply of corresponding air conditioners under different outdoor environment temperatures and humidity.
The following is a detailed description of specific examples:
the establishment process of the winter control model comprises the following steps:
1. manually/automatically acquiring wind speed data, temperature and humidity data of an air outlet, high wind speed data and temperature and humidity data of 1.7 meters above the ground when all air valves of an air conditioner are opened in a winter heating mode, and automatically inputting the data into a data storage server;
2. manually/automatically acquiring wind speed data, temperature and humidity data of an air outlet when the opening of each air outlet air valve of the air conditioner is 50%, and automatically inputting the wind speed data, the temperature and humidity data and the high wind speed data of 1.7 meters above the ground to a storage server;
3. collecting air conditioning unit operation data, including: the data of the temperature and humidity of the air supply and return air, the data of the wind speed, the data of the opening degree of each air port air valve, the data of the flow speed, the data of the flow quantity and the like are automatically stored in a data storage server;
4. acquiring outdoor environment temperature and humidity data through an outdoor environment temperature and humidity sensor, and transmitting the data to a data storage server;
5. storing indoor temperature and humidity data acquired by temperature and humidity sensors of different coordinate points of a workshop to a data storage server;
6. providing a temperature and humidity field model for workshop air supply and return control through a three-dimensional modeling technology and a CFD dynamic simulation technology, and designing a winter control model according to different point position data of the same time node;
7. after the automatic air supply control of the air conditioner, the winter control model can automatically optimize control parameters according to temperature and humidity data fed back by different indoor coordinate points until the temperature and humidity of a control target can completely reach the standard, and the control parameters are stored in a winter control database as a group of control strategies;
8. and automatically optimizing and adjusting a plurality of sets of winter control strategy items for the temperature and humidity of different outdoor environments, and storing the winter control strategy items in a winter control database.
The building process of the summer control model comprises the following steps:
1. manually/automatically acquiring wind speed data, temperature and humidity data of an air outlet, high wind speed data and temperature and humidity data of 1.7 meters above the ground when all air valves of an air conditioner are opened in a summer refrigeration mode of the air conditioner unit, and automatically inputting the data into a data storage server;
2. manually/automatically acquiring wind speed data, temperature and humidity data of an air outlet when the opening of each air outlet air valve of the air conditioner is 50%, and automatically inputting the wind speed data, the temperature and humidity data and the high wind speed data of 1.7 meters above the ground to a storage server;
3. collecting air conditioning unit operation data, including: the data of the temperature and humidity of the air supply and return air, the data of the wind speed, the data of the opening degree of each air port air valve, the data of the flow speed, the data of the flow quantity and the like are automatically stored in a data storage server;
4. acquiring outdoor environment temperature and humidity data through an outdoor environment temperature and humidity sensor, and transmitting the data to a data storage server;
5. storing indoor temperature and humidity data acquired by temperature and humidity sensors of different coordinate points of a workshop to a data storage server;
6. providing a temperature and humidity field model for workshop air supply and return control through a three-dimensional modeling technology and a CFD dynamic simulation technology, and designing a summer control model according to different point position data of the same time node;
7. after the automatic air supply control of the air conditioner, the summer control model can automatically optimize control parameters according to temperature and humidity data fed back by different indoor coordinate points until the temperature and humidity of a control target can reach the standard completely, and the control parameters are stored in a summer control database as a group of control strategies;
8. and automatically optimizing and adjusting a plurality of sets of winter control strategy items for the temperature and humidity of different outdoor environments, and storing the items in a summer control database.
The establishment process of the spring and autumn control model is as follows:
1. collecting operation data of an air conditioning unit, including temperature and humidity data of air supply and return air, wind speed data, opening data, flow speed data, flow data and the like of each air port air valve and each steam valve, and automatically storing the data into a data storage server;
2. acquiring outdoor environment temperature and humidity data through an outdoor environment temperature and humidity sensor, and transmitting the data to a data storage server;
3. storing indoor temperature and humidity data acquired by temperature and humidity sensors of different coordinate points of a workshop to a data storage server;
4. providing a temperature and humidity field model for workshop air supply and return control through a three-dimensional modeling technology and a CFD dynamic simulation technology, and designing a spring and autumn control model according to different point position data of the same time node;
5. after the air conditioner automatically supplies air and controls, the spring and autumn control model can automatically optimize control parameters according to temperature and humidity data fed back by different indoor coordinate points until the temperature and humidity of a control target completely reach the standard, and the control parameters are stored in a spring and autumn control database as a set of control strategies;
6. and automatically optimizing and adjusting a plurality of sets of spring and autumn control strategy items for the temperature and humidity of different outdoor environments, and storing the spring and autumn control strategy items in a spring and autumn control database.
In the embodiment, a machine self-learning optimization control algorithm is adopted in a preset season control model (a winter control model, a summer control model and a spring and autumn control model), the machine self-learning optimization control algorithm runs on an artificial intelligent operation server, according to the preset control model, the artificial intelligent operation server compares control target parameters, feedback data and historical data by reading data of a data server, sends out an execution instruction to a field PLC of equipment by executing service, continuously tries to optimize the control parameters, analyzes and compares the feedback data after optimizing each control parameter, automatically analyzes the profit and the loss of the control parameters, provides data for the next optimization control, and the action time of a control mechanism is not more than 15 minutes according to the feedback delay characteristic of air conditioner control; the control strategy strips are obtained through multiple machine control parameter anthropomorphic optimization, intelligent control is more and more accurate through continuous enrichment of the control strategy strips, and control feedback and control targets are more and more similar until the control feedback and the control targets are approximately consistent; the air conditioner automatically optimizes the regulation and control strategy, and the data collection and automatic control strategy optimization storage are carried out through at least 3 key seasons, so that a complete intelligent high-large space air conditioner balance control system is formed.
The air conditioner air supply control dynamic adjustment process comprises the following steps:
1. the air conditioner is started to automatically detect the operation season state of the air conditioner so as to select a corresponding season control database and a preset season control model;
2. according to the outdoor environment temperature and humidity data and the set target control parameters, automatically matching to obtain control strategy items, and executing automatic control;
3. according to the change of the outdoor environment temperature and humidity conditions, automatically adjusting a control strategy item once every one hour, and executing one-time automatic control adjustment;
4. according to the indoor feedback temperature and humidity data and the set target temperature and humidity, automatically optimizing and executing control strategy items, and storing the control strategy items as new items in a storage server;
5. under the condition that the temperature and the humidity of the control target completely reach the standard, the control parameters are further and automatically optimized, and the energy-saving operation and the control target are organically combined, so that the energy-saving intelligent operation of the air conditioning system is realized.
In summary, the dynamic adjustment method suitable for balanced air supply of the air conditioner in a large space according to the embodiment of the application can continuously and automatically optimize control parameters by providing basic parameters once through a machine self-learning optimization control algorithm, so as to realize infinite approaching of control effects and target effects, and simultaneously realize the most energy-saving operation while realizing the control effects through an intelligent control algorithm, thereby being suitable for balanced air supply regulation and control of all air conditioning systems in a large space and realizing consistency of air conditioning control in a large space.
Example 2:
referring to fig. 3, the present embodiment provides a dynamic adjustment system 100 suitable for equalizing air supply of an air conditioner in a large space, which includes a data storage server 1 and an artificial intelligence analysis processing server 2;
the data storage server 1 is configured to store preset season mode information, set target control parameters, all outdoor temperature and humidity data and all indoor temperature and humidity data of the air conditioner;
the artificial intelligence analysis processing server 2 specifically includes:
the determining module is configured to determine a corresponding season control database and a preset season control model according to preset season mode information of the air conditioner after the air conditioner is started;
the strategy matching module is configured to obtain an initial control strategy item from the season control database based on the acquired current outdoor temperature and humidity data, the current indoor temperature and humidity data and the set target control parameters in a matching mode so as to realize automatic air supply control of the air conditioner by adopting the initial control strategy item; the outdoor temperature and humidity data, the indoor temperature and humidity feedback data and the target control parameters which are acquired after a preset time interval are matched from a season control database to obtain an adjustment control strategy item, so that the adjustment control strategy item is adopted to realize automatic air supply control of the air conditioner;
the optimizing module is configured to analyze and process the indoor temperature and humidity data, the target control parameters and all the acquired outdoor temperature and humidity data acquired after air conditioning air supply through a preset seasonal control model to generate an optimizing control strategy item, and store the optimizing control strategy item into a seasonal control database to execute automatic air supply control of the air conditioner by adopting the optimizing control strategy item.
Optionally, the dynamic adjustment system 100 suitable for equalizing air supply of an air conditioner in a large space of this embodiment further includes a plurality of temperature and humidity sensors 3 connected to the data storage server 1, where the plurality of temperature and humidity sensors 3 are respectively disposed outside the workshop, in different coordinate points inside the workshop, and in the air conditioner duct.
Optionally, the dynamic adjustment system 100 suitable for equalizing air supply of an air conditioner for a large space in this embodiment further includes an operation execution server 4 connected to the artificial intelligence analysis processing server 2, where the operation execution server 4 processes the optimized control policy entry to obtain an execution instruction set, and issues the execution instruction set to the feedback execution mechanism 5 to implement automatic air supply control of the air conditioner.
Optionally, the dynamic adjustment system 100 suitable for equalizing air supply of the air conditioner in the high and large space of this embodiment further includes a WEB publishing server 6 connected to the operation execution server 4, where the WEB publishing server 6WEB publishing server displays stored data, analysis report forms, execution conditions, feedback conditions and the like in a WEB page publishing form, and control operators 7 in different department positions can browse, view and download data resources in the authority through a network. The WEB release server is an execution server, a data storage server, an artificial intelligent server and an interaction channel of a remote operator, and data, operation results, execution conditions and feedback conditions of the servers are executed and fed back to a remote operator workstation through the WEB release server, so that an operator can complete detection and execution of the system in one workstation on the industrial network through operation authority.
Specifically, the dynamic adjustment system suitable for equalization air supply of the air conditioner in the high and large space mainly comprises a data acquisition section, a feedback execution section, a storage analysis processing section and a manual duty section.
Data acquisition section: the system mainly comprises an outdoor temperature and humidity sensor, temperature and humidity sensors distributed according to coordinate points in a workshop, temperature and humidity sensors in an air conditioner air pipe, an anemometer of an air conditioner, a chilled water/steam flowmeter, a fan frequency meter, a rotating speed meter, data acquisition equipment in a control cabinet and the like;
feedback execution segment: the system mainly comprises proportional-integral actuators arranged on each air outlet in a distributed manner, proportional-integral actuators arranged on a main air pipe, valve opening actuators of chilled water, steam and humidifying devices, a frequency converter of a fan motor, a PLC control unit and the like;
the database stores and analyzes the processing section: the system mainly comprises a data storage server, an artificial intelligent analysis processing server, an operation execution server, a web publishing server and the like;
operator control section: the system mainly comprises a control operator workstation of an on-duty room, a remote monitoring operator workstation and the like;
the sensor and instrument data of the data acquisition section are uniformly converted into TCP/IP protocol through local data acquisition equipment, the TCP/IP protocol is transmitted to a data storage server through a wired network, an operation execution server transmits execution instructions to each execution unit PLC controller through the wired network, the server execution instructions are converted into machine instructions through the PLC, and each execution component such as an air pipe proportional integral valve, a chilled water/steam opening valve, a fan running frequency and the like is controlled to execute. And the artificial intelligent analysis processing server is used for transmitting analysis and judgment results to the execution server by performing intelligent self-learning analysis on the data of the data storage server. The WEB release server displays stored data, analysis reports, execution conditions, feedback conditions and the like in a network page release form, and control operators at different department positions can browse, view and download data resources in the authority through a network. Each functional section is not completely physically divided, 4 servers are also divided according to functions, and are not necessarily separated single physical servers, each server can be one or more according to engineering quantity, and one server can also have multiple functions. All the system components are connected through control cables or the industrial Internet, and are an organic unified complete system.
In summary, the dynamic adjustment system suitable for equalizing air supply of an air conditioner in a large space according to the embodiments of the present application mainly includes a plurality of temperature and humidity sensors distributed at different coordinate points in a workshop, a temperature and humidity sensor arranged outdoors, an electric proportional air valve actuator mounted on each air outlet air valve, and an actuator control system, a control system capable of dynamically controlling air supply temperature and humidity and air supply speed of an air conditioner unit, and a set of machine self-learning intelligent dynamic control algorithm; the system realizes intelligent balance control of all air conditioner and air port parameters by collecting air conditioner operation data, collecting air speeds and temperature and humidity data of different openings of each air port, modeling by the system, controlling deduction and automatically controlling deduction by the system, and finally realizing balance of temperature and humidity of different delivery parts of the whole workshop.
Example 3:
the application discloses an electronic device. The electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the steps in the dynamic adjustment method for equalizing air supply of an air conditioner in a large space according to any one of the embodiment 1 of the disclosure when executing the computer program.
Fig. 4 is a block diagram of an electronic device according to an embodiment of the present application, and as shown in fig. 4, the electronic device includes a processor, a memory, a communication interface, a display screen, and an input device connected through a system bus. Wherein the processor of the electronic device is configured to provide computing and control capabilities. The memory of the electronic device includes a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the electronic device is used for conducting wired or wireless communication with an external terminal, and the wireless communication can be achieved through WIFI, an operator network, near Field Communication (NFC) or other technologies. The display screen of the electronic equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the electronic equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the electronic equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in fig. 4 is merely a block diagram of a portion related to the technical solution of the present disclosure, and does not constitute a limitation of the electronic device to which the technical solution of the present disclosure is applied, and a specific electronic device may include more or less components than those shown in the drawings, or may combine some components, or have different component arrangements.
Example 4:
the application discloses a computer readable storage medium. The computer-readable storage medium stores a computer program which, when executed by a processor, implements the steps in the dynamic adjustment method for equalizing air supply of an air conditioner for a large space according to any one of embodiment 1 of the present application.
Note that the technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be regarded as the scope of the description. The foregoing examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Embodiments of the subject matter and the functional operations described in this specification can be implemented in: digital electronic circuitry, tangibly embodied computer software or firmware, computer hardware including the structures disclosed in this specification and structural equivalents thereof, or a combination of one or more of them. Embodiments of the subject matter described in this specification can be implemented as one or more computer programs, i.e., one or more modules of computer program instructions encoded on a tangible, non-transitory program carrier for execution by, or to control the operation of, data processing apparatus. Alternatively or additionally, the program instructions may be encoded on a manually-generated propagated signal, e.g., a machine-generated electrical, optical, or electromagnetic signal, that is generated to encode and transmit information to suitable receiver apparatus for execution by data processing apparatus. The computer storage medium may be a machine-readable storage device, a machine-readable storage substrate, a random or serial access memory device, or a combination of one or more of them.
The processes and logic flows described in this specification can be performed by one or more programmable computers executing one or more computer programs to perform corresponding functions by operating on input data and generating output. The processes and logic flows can also be performed by, and apparatus can also be implemented as, special purpose logic circuitry, e.g., an FPGA (field programmable gate array) or an ASIC (application-specific integrated circuit).
Computers suitable for executing computer programs include, for example, general purpose and/or special purpose microprocessors, or any other type of central processing unit. Typically, the central processing unit will receive instructions and data from a read only memory and/or a random access memory. The essential elements of a computer include a central processing unit for carrying out or executing instructions and one or more memory devices for storing instructions and data. Typically, a computer will also include, or be operatively coupled to receive data from or transfer data to, or both, one or more mass storage devices for storing data, e.g., magnetic, magneto-optical disks, or optical disks, etc. However, a computer does not have to have such a device. Furthermore, the computer may be embedded in another device, such as a mobile phone, a Personal Digital Assistant (PDA), a mobile audio or video player, a game console, a Global Positioning System (GPS) receiver, or a portable storage device such as a Universal Serial Bus (USB) flash drive, to name a few.
Computer readable media suitable for storing computer program instructions and data include all forms of non-volatile memory, media and memory devices including, for example, semiconductor memory devices (e.g., EPROM, EEPROM, and flash memory devices), magnetic disks (e.g., internal hard disk or removable disks), magneto-optical disks, and CD-ROM and DVD-ROM disks. The processor and the memory can be supplemented by, or incorporated in, special purpose logic circuitry.
While this specification contains many specific implementation details, these should not be construed as limitations on the scope of any application or of what may be claimed, but rather as descriptions of features of specific embodiments of particular applications. Certain features that are described in this specification in the context of separate embodiments can also be implemented in combination in a single embodiment. On the other hand, the various features described in the individual embodiments may also be implemented separately in the various embodiments or in any suitable subcombination. Furthermore, although features may be acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can in some cases be excised from the combination, and the claimed combination may be directed to a subcombination or variation of a subcombination.
Similarly, although operations are depicted in the drawings in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. In some cases, multitasking and parallel processing may be advantageous. Moreover, the separation of various system modules and components in the embodiments described above should not be understood as requiring such separation in all embodiments, and it should be understood that the described program components and systems can generally be integrated together in a single software product or packaged into multiple software products.
Thus, particular embodiments of the subject matter have been described. Other embodiments are within the scope of the following claims. In some cases, the actions recited in the claims can be performed in a different order and still achieve desirable results. Furthermore, the processes depicted in the accompanying drawings are not necessarily required to be in the particular order shown, or sequential order, to achieve desirable results. In some implementations, multitasking and parallel processing may be advantageous.
The foregoing description of the preferred embodiments of the application is not intended to be limiting, but rather to enable any modification, equivalent replacement, improvement or the like to be made within the spirit and principles of the application.
While certain specific embodiments of the application have been described in detail by way of example, it will be appreciated by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the application. It will be appreciated by those skilled in the art that modifications may be made to the above embodiments without departing from the scope and spirit of the application. The scope of the application is defined by the appended claims.
Claims (10)
1. A dynamic adjustment method for equalizing air supply of a tall space air conditioner, the method comprising:
step S1: determining a corresponding season control database and a preset season control model according to preset season mode information of the air conditioner after the air conditioner is started;
step S2: based on the obtained current outdoor temperature and humidity data, the current indoor temperature and humidity data and the set target control parameters, matching the current outdoor temperature and humidity data, the current indoor temperature and humidity data and the set target control parameters from the seasonal control database to obtain an initial control strategy entry, and realizing automatic air supply control of the air conditioner by adopting the initial control strategy entry;
step S3: obtaining an adjustment control strategy item from the season control database based on outdoor temperature and humidity data, indoor temperature and humidity data and the target control parameter obtained after a preset time interval, so as to realize automatic air supply control of the air conditioner by adopting the adjustment control strategy item;
step S4: and analyzing and processing the indoor temperature and humidity data acquired after air conditioning air supply, the target control parameters and all acquired outdoor temperature and humidity data through the preset seasonal control model to generate an optimized control strategy entry, and storing the optimized control strategy entry into the seasonal control database so as to execute automatic air supply control of the air conditioner by adopting the optimized control strategy entry.
2. The method according to claim 1, wherein in the step S1, the preset season control model is a winter control model, a summer control model, or a spring and autumn control model.
3. The method for dynamically adjusting the equalization air supply of a tall space air conditioner according to claim 1, wherein in said step S1, said step of establishing a preset season control model specifically comprises:
step 01: respectively acquiring air conditioner operation data, outdoor temperature and humidity data and indoor temperature and humidity data of different coordinate points in a preset season mode, wherein the preset season mode is a winter heating mode, a summer refrigeration mode or a spring and autumn mode;
step 02: a temperature and humidity field model of a workshop is built in advance by utilizing a three-dimensional modeling technology and a CFD dynamic simulation technology;
step 03: and training the temperature and humidity field model by using the air conditioner operation data, the outdoor temperature and humidity data and the indoor temperature and humidity data of different coordinate points which are obtained in a preset season mode to obtain the preset season control model.
4. The dynamic adjustment method for equalizing air supply for a tall space air conditioner according to claim 3, wherein in said step 01, said air conditioner operation data comprises: data of temperature and humidity of return air, data of wind speed, data of opening degree, data of flow speed and data of flow rate of each air port air valve and each steam valve;
when the preset season mode is a winter heating mode or a summer refrigerating mode, the air conditioner operation data further comprise air outlet air speed data and temperature and humidity data when all air outlet air valves of the air conditioner are fully opened, high air speed and temperature and humidity data of a preset height from the ground, air outlet air speed data and temperature and humidity data when all air outlet air valves of the air conditioner are 50% opened, and high air speed and temperature and humidity data of a preset height from the ground.
5. The method according to claim 1, wherein in the step S1, the season control database includes a plurality of control policy entries, and the control policy entries are automatically optimized by the preset season control model according to indoor temperature and humidity data collected after corresponding air conditioning air supply under different outdoor environment temperatures and humidity.
6. The dynamic adjustment system suitable for the equalization air supply of the high-large space air conditioner is characterized by comprising a data storage server and an artificial intelligent analysis processing server;
the data storage server is configured to store preset season mode information, set target control parameters, all outdoor temperature and humidity data and all indoor temperature and humidity data of the air conditioner;
the artificial intelligence analysis processing server specifically includes:
the determining module is configured to determine a corresponding season control database and a preset season control model according to preset season mode information of the air conditioner after the air conditioner is started;
the strategy matching module is configured to obtain an initial control strategy item from the season control database based on the acquired current outdoor temperature and humidity data, the current indoor temperature and humidity data and the set target control parameters in a matching mode so as to realize automatic air supply control of the air conditioner by adopting the initial control strategy item; the adjustment control strategy item is obtained by matching from the season control database based on the outdoor temperature and humidity data, the indoor temperature and humidity feedback data and the target control parameter obtained after a preset time interval, so that the automatic air supply control of the air conditioner is realized by adopting the adjustment control strategy item;
and the optimizing module is configured to analyze and process the indoor temperature and humidity data acquired after air conditioning air supply, the target control parameters and all acquired outdoor temperature and humidity data through the preset season control model to generate an optimizing control strategy item, and store the optimizing control strategy item into the season control database so as to execute automatic air supply control of the air conditioner by adopting the optimizing control strategy item.
7. The dynamic adjustment system for equalizing air supply of a high and large space air conditioner according to claim 6, further comprising a plurality of temperature and humidity sensors connected with said data storage server, wherein a plurality of said temperature and humidity sensors are respectively disposed outside a workshop, in different coordinate points inside the workshop, and in an air conditioner duct.
8. The dynamic adjustment system for equalizing air supply of a tall space air conditioner according to claim 6, further comprising an operation execution server connected to said artificial intelligence analysis processing server, wherein said operation execution server processes said optimized control policy entry to obtain an execution instruction set, and issues said execution instruction set to a feedback execution mechanism to realize automatic air supply control of an air conditioner.
9. An electronic device comprising a memory storing a computer program and a processor implementing the steps of the dynamic adjustment method for equalization air supply for a high-volume air conditioner of any one of claims 1 to 5 when the computer program is executed by the processor.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the dynamic adjustment method for equalization of air supply of a high-rise air conditioner according to any one of claims 1 to 5.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN118705739A (en) * | 2024-08-30 | 2024-09-27 | 上海能誉科技股份有限公司 | Factory ventilation control method, device and medium based on multi-season mode |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN118705739A (en) * | 2024-08-30 | 2024-09-27 | 上海能誉科技股份有限公司 | Factory ventilation control method, device and medium based on multi-season mode |
| CN118705739B (en) * | 2024-08-30 | 2024-11-05 | 上海能誉科技股份有限公司 | Factory ventilation control method, device and medium based on multi-season mode |
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