CN115435457B - Air conditioner control method, system and server based on edge calculation - Google Patents

Air conditioner control method, system and server based on edge calculation Download PDF

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Publication number
CN115435457B
CN115435457B CN202211002035.XA CN202211002035A CN115435457B CN 115435457 B CN115435457 B CN 115435457B CN 202211002035 A CN202211002035 A CN 202211002035A CN 115435457 B CN115435457 B CN 115435457B
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information
temperature
air conditioner
instruction
scene
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CN115435457A (en
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柏鹏
马俊杰
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Beijing Shengfulun Electric Technology Co ltd
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Beijing Shengfulun Electric Technology Co ltd
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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
    • 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
    • F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F24F11/49—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring ensuring correct operation, e.g. by trial operation or configuration checks
    • 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
    • F24F11/52—Indication arrangements, e.g. displays
    • 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
    • F24F11/56—Remote control
    • 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
    • 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
    • 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
    • F24F11/65—Electronic processing for selecting an operating mode
    • 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
    • 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
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2120/00—Control inputs relating to users or occupants
    • F24F2120/10—Occupancy
    • F24F2120/12—Position of occupants
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

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  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The application relates to an air conditioner control method, an air conditioner control system and an air conditioner control server based on edge calculation, wherein the air conditioner control method comprises the following steps: collecting environment information and current temperature information; performing big data fusion calculation on the environment information to generate an initial temperature regulating instruction, wherein the initial temperature regulating instruction is used for regulating the current temperature to obtain a target temperature; collecting personnel information under the environment information; and analyzing and processing the personnel information, and sending a control instruction based on an analysis result, wherein the control instruction is used for adjusting the target temperature. The technical effect that this application had is: the intelligent real-time control of the edge is realized through edge calculation, and meanwhile, the energy consumption of the air conditioner is reduced.

Description

Air conditioner control method, system and server based on edge calculation
Technical Field
The application relates to the technical field of heating and ventilation, in particular to an air conditioner control method, an air conditioner control system and an air conditioner control server based on edge calculation.
Background
An Air Conditioner (Air Conditioner) is an apparatus for manually adjusting and controlling parameters such as temperature, humidity, and flow rate of Air in a building or an environment within a building. Air conditioning systems generally include a cold source/heat source device, a cold and hot medium delivery system, a terminal device, and the like, as well as other auxiliary devices. The tail end device is responsible for specifically processing the air state by utilizing the transmitted cold and hot quantity, so that the air parameters of the target environment reach certain requirements.
In the current air conditioning system, the actual cooling requirement or the actual heating requirement is difficult to be accurately matched with the control temperature of the air conditioner, and cannot be adjusted in real time as required.
Disclosure of Invention
In order to solve the problem that the air conditioner control temperature is difficult to accurately match and cannot be adjusted in real time as required, the application provides an air conditioner control method, an air conditioner control system, a storage medium and a server based on edge calculation.
In a first aspect, an embodiment of the present application provides an air conditioner control method based on edge calculation, which adopts the following technical scheme:
an air conditioner control method based on edge calculation is applicable to an edge server, and the method comprises the following steps:
collecting environment information and current temperature information;
performing big data fusion calculation on the environment information to generate an initial temperature regulating instruction, wherein the initial temperature regulating instruction is used for regulating the current temperature to obtain a target temperature;
collecting personnel information under the environment information;
and analyzing and processing the personnel information, and sending a control instruction based on an analysis result, wherein the control instruction is used for adjusting the target temperature.
According to the technical scheme, the environment information and the current temperature information are collected firstly, big data fusion calculation is carried out on the environment information, the edge server is pre-stored with proper temperatures corresponding to different humidities under different environments, the big data fusion result is used for finding the proper temperatures pre-stored in the edge server, an initial temperature regulation instruction is generated, and the initial temperature regulation instruction is sent to an air conditioner to regulate the current temperature, so that a target temperature is obtained. And then, carrying out real-time control and adjustment on the target temperature by analyzing personnel information under the environment information. Edge calculation is performed through the edge server, temperature adjustment is performed according to different environments, different humidity and personnel information, and temperature matching is enabled to be more accurate.
Preferably, the environment information includes scene information and humidity information, the performing big data fusion calculation on the environment information generates an initial temperature adjustment instruction, where the initial temperature adjustment instruction is used for adjusting a current temperature to obtain a target temperature, and the method includes:
judging the scene category of the scene information;
and determining the scene information and the target temperature corresponding to the humidity information based on the corresponding relation among different scene categories, different humidity information and different temperatures, and generating an initial control instruction, wherein the initial control instruction is used for adjusting the current temperature to the target temperature.
According to the technical scheme, in the process of processing the scene information, the scene information is divided into two categories of a household scene and a production scene, different humidities are divided, the scene information and the humidity information are compared to obtain the target temperature, a temperature regulating instruction is generated according to the target temperature, and the temperature regulating instruction acts on an air conditioner to regulate the current temperature, so that the target temperature most suitable for the current scene is obtained, and the comfort level of a user is improved.
Preferably, the personal information in the acquisition environment includes:
acquiring heart rate information;
judging whether the heart rate information is larger than a preset value or not;
if yes, judging that the heart rate is in an abnormal condition, processing heart rate information by using an adjusting formula to obtain a temperature change curve, and generating a first temperature control instruction, wherein the first temperature control instruction is used for adjusting the target temperature to obtain a first temperature;
judging whether the abnormal situation is recovered;
if yes, the first temperature is restored to the target temperature.
Through above-mentioned technical scheme, gather human heart rate information in real time, whether the heart rate of analysis user is unusual through big data, if be in the abnormal conditions, then adjust the temperature with the mode of moderating the alternating temperature, avoid the user to feel unscientific control air conditioner temperature regulation by individual to the temperature is too high or too low, through real-time intelligent control, improves user's comfort level.
Preferably, the adjustment formula is: t=acos (wt+θ), where θ=2pi ft;
wherein: t is a temperature value, A is a proportionality coefficient, w is an angular frequency, T is a corresponding time in the heart rate acquisition process, θ is a corresponding angle, and f is a heart rate corresponding frequency.
Through above-mentioned technical scheme, convert the rhythm of heart, be convenient for adjust the temperature according to the rhythm of heart.
Preferably, after acquiring the heart rate information, the method further comprises:
acquiring crowd concentration;
judging whether the crowd concentration exceeds a preset value, and if so, generating a ventilation instruction which is used for adjusting the ventilation degree of the air conditioner;
through the technical scheme, according to the scene area and the crowd concentration, the corresponding air quality level is estimated by big data, the current air quality level is intelligently judged, and the ventilation degree of the air conditioner is adjusted in real time.
Preferably, after the analysis processing is performed on the personnel information, the method further includes:
and uploading the environment information to a cloud platform for storage and sending to a client.
Through the technical scheme, the collected environment information is stored on the cloud platform, so that a big data algorithm can be optimized, and the algorithm is gradually attached to the actual use condition of an individual user. Meanwhile, data are sent to the client, and if special conditions occur, a user can control through the client, so that the intellectualization of the operation of the air conditioner is improved.
Preferably, after the scene category of the scene information is determined, the method further comprises:
if no person is detected in the indoor scene within the preset time, sending a stop instruction, wherein the stop instruction is used for controlling the air conditioner to stop running;
if the operation time is in the production scene, judging whether the operation time exceeds a second preset time;
if yes, sending an adjusting instruction to the air conditioner and clearing the running time, wherein the adjusting instruction is used for adjusting and controlling the running of each refrigerating unit in turn.
Through the technical scheme, if the edge server detects that the indoor scene is unmanned for a long time, the edge server sends a control instruction, the operation of the air conditioner is stopped, and unnecessary energy consumption and waste are reduced.
If only a part of production equipment performs production work in a production scene, the operation of each unit can be adjusted according to the equipment operation state condition, so that the long-time operation of one unit is prevented, the other units do not operate, or the two units operate simultaneously, and unit loss and energy consumption waste are caused.
In a second aspect, an embodiment of the present application provides an air conditioner control system based on edge calculation, which adopts the following technical scheme:
an edge calculation based air conditioner control system, comprising:
the first acquisition module is used for acquiring environmental information and current temperature information;
the calculation generation module is used for carrying out big data fusion calculation on the environmental information to generate an initial temperature adjustment instruction, and the initial temperature adjustment instruction is used for adjusting the current temperature to obtain a target temperature;
the second acquisition module is used for acquiring personnel information under the environment information;
the analysis and transmission module is used for analyzing and processing the personnel information and transmitting a control instruction based on an analysis result, wherein the control instruction is used for adjusting the target temperature.
According to the technical scheme, the environment information and the current temperature information are collected firstly, big data fusion calculation is carried out on the environment information, the proper temperatures corresponding to different humidities under different scenes are pre-stored in the edge server, the proper temperatures pre-stored in the edge server are found according to big data fusion results, an initial temperature regulation instruction is generated, and the initial temperature regulation instruction is sent to an air conditioner to regulate the current temperature, so that a target temperature is obtained. And then, carrying out real-time control and adjustment on the target temperature by analyzing personnel information under the environment information. Edge calculation is performed through the edge server, temperature adjustment is performed according to different scenes, different humidity and personnel information, and the temperature is matched more accurately.
In a third aspect, embodiments of the present application provide a computer storage medium storing a plurality of instructions adapted to be loaded by a processor and to perform the above-described method steps.
In a fourth aspect, embodiments of the present application provide a server, which may include: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the above-mentioned method steps.
In summary, the present application includes at least one of the following beneficial technical effects:
1. according to the scheme, edge calculation is performed through an edge server, a target temperature is determined to be the current temperature through environment information, and then the current temperature is adjusted. According to personnel information in the environment, different temperature regulating instructions are generated to regulate the target temperature, so that intelligent real-time control of the temperature under different conditions is realized.
2. And the edge server sends a control instruction to stop the operation of the air conditioner when detecting that the air conditioner is in an indoor scene and is unmanned for a long time. When only a part of production equipment performs production work in a production scene, the operation of each unit can be adjusted according to the running state of the equipment, so that one unit is prevented from running for a long time, other units are prevented from running, or the two units run simultaneously, and the energy consumption of the air conditioner is reduced.
Drawings
Fig. 1 is a flowchart of an air conditioner control method based on edge calculation in an embodiment of the present application.
Fig. 2 is a flowchart of an air conditioner control method based on edge calculation in another embodiment of the present application.
Fig. 3 is a flowchart of step S30 in the embodiment of the present application.
Fig. 4 is a block diagram of an air conditioner control system based on edge calculation in the embodiment of the present application.
Fig. 5 is a schematic structural diagram of a server according to an embodiment of the present application.
Detailed Description
The present application is described in further detail below in conjunction with figures 1-5.
The embodiment of the application discloses an air conditioner control method based on edge calculation, which is based on an air conditioner control system of an edge computer, wherein the air conditioner control system based on an edge algorithm firstly collects environment information and current temperature information; carrying out big data fusion calculation on the environmental information to generate an initial temperature regulating instruction, wherein the initial temperature regulating instruction is used for regulating the current temperature to obtain a target temperature; collecting personnel information under environment information; and analyzing and processing personnel information, and sending a control instruction based on an analysis result, wherein the control instruction is used for adjusting the target temperature.
The embodiment of the application discloses an air conditioner control method based on edge calculation, referring to fig. 1, the method comprises the following steps:
s10, collecting environment information and current temperature information.
Specifically, the environment information includes scene information and humidity information, the scene information is the current environment, the humidity information is the humidity value of the current environment, the scene information can be obtained by identifying the image information acquired by the camera, and the humidity information is acquired in real time through the sensor. The current temperature information is acquired by a sensor. The temperature information acquisition and the humidity acquisition can be carried out by using a temperature sensor and a humidity sensor separately, and also can be carried out by using a temperature and humidity sensor. The temperature and humidity sensor can be arranged at a certain corner of the room or is arranged in the air conditioner. For example, a 485 type temperature and humidity sensor can be adopted as the temperature and humidity sensor, and the acquired temperature and humidity data can be uploaded to the edge server through an Ethernet/WiFi/GPRS mode. The erected communication network is fully utilized to realize data acquisition and transmission of distance, and several kinds of monitoring of temperature and humidity data are realized.
S20, carrying out big data fusion calculation on the environmental information, generating an initial temperature regulating instruction, wherein the initial temperature regulating instruction is used for regulating the current temperature, and obtaining the target temperature.
Specifically, different temperatures of the household environment and the production environment are pre-stored in an edge server in advance and correspond to different adjusting temperatures, and a two-dimensional temperature adjusting table is generated. Comparing the acquired scene information and humidity information with parameters in a temperature regulation surface to generate a temperature regulation instruction, and regulating the current temperature to obtain a target temperature.
S30, collecting personnel information under the environment information.
S40, analyzing and processing personnel information, and sending a control instruction based on an analysis result, wherein the control instruction is used for adjusting the target temperature.
Specifically, the edge server can upload the collected data into the server for cloud storage, and in the process of analyzing big data by the edge server, a proper data analysis technology is selected according to the application condition and decision requirement of personnel information so as to improve the availability, the value, the accuracy and the quality of the big data analysis result, wherein the application condition and the decision requirement are pre-stored in the edge server in advance. And then, visualizing the data of the personnel information, displaying the results of analysis and prediction of the large data of the personnel information in the form of computer graphics or images, uploading the results to a server for cloud storage, realizing a process capable of interacting with a user, finally, applying the large data, and converting the results of the large data mined after analysis and processing into corresponding instructions.
Specifically, the edge server sends a control command to an edge controller in the air conditioner, if the temperature is required to be reduced, the edge controller sucks low-pressure steam which acts on the refrigerant in the refrigerating system through the control command, compresses the low-pressure steam into high-pressure steam and then discharges the high-pressure steam to the condenser, and meanwhile, outdoor air sucked by the axial flow fan flows through the condenser to take away heat emitted by the refrigerant, so that the high-pressure refrigerant condenses the high-pressure refrigerant steam into high-pressure liquid. The high-pressure liquid is sprayed into the evaporator after passing through the filter and the throttling mechanism, and is evaporated under the corresponding low pressure, so that the surrounding heat is absorbed. And meanwhile, the through-flow fan enables air to continuously enter between the fins of the evaporator to perform heat exchange, and sends cooled air after heat release to the indoor. Thus, the indoor air continuously circulates and flows, and the purpose of reducing the temperature is achieved.
If the temperature is to be raised, the edge controller acts on the refrigerating system through a control instruction, the positions of the air suction pipe and the air discharge pipe are exchanged, and the refrigerating system is controlled to absorb heat outdoors and release heat indoors, so that heating is realized.
When the indoor air is sucked through the evaporator, moisture in the air is condensed into water and then is led into a drain pipe to be led outdoors.
If the ventilation is to be controlled, the edge controller acts on the running efficiency of the exhaust fan in the air conditioner through a control instruction so as to control the indoor airflow speed.
Optionally, referring to fig. 2, in S20, it includes:
s21, judging the scene type of the scene information;
specifically, different scenes have different requirements on temperature, for example, the temperature of a home scene is mainly based on the comfort level of human body, and the temperature of a production scene is in accordance with the temperature requirement of production equipment.
S22, determining target temperatures corresponding to the scene information and the humidity information based on the corresponding relations among different scene categories, different humidity information and different temperatures, and generating an initial control instruction, wherein the initial control instruction is used for adjusting the current temperature to the target temperature.
In particular, the scene information is divided into a home scene and a production scene according to types, and then the scene information is further divided into scenes of different conditions, for example, mushroom production is required to be performed in a low-temperature and humid environment, and certain food production is required to be performed in a dry environment. Different temperatures are correspondingly regulated by pre-storing different humidities of a home environment and a production environment in an edge server in advance, and a two-dimensional temperature regulation table is generated. Comparing the acquired scene information and humidity information with parameters of the temperature regulation surfaces and the interior, generating a temperature regulation instruction, and carrying out corresponding temperature regulation on scenes with different requirements.
Optionally, referring to fig. 3, the following sub-steps are included in S30:
s311, heart rate information is acquired.
Specifically, heart rate information may be acquired by a smart watch or smart bracelet worn on the person and the smart watch or smart bracelet uploads the data to an edge server.
S312, judging whether the heart rate information is larger than a preset value.
And S313, if yes, judging that the heart rate is in an abnormal condition, processing the heart rate information by using an adjusting formula to obtain a temperature change curve, and generating a first temperature control instruction, wherein the first temperature control instruction is used for adjusting the target temperature to obtain a first temperature.
Specifically, if the user is transferred from the outside to the inside or the user just moves violently back to the inside, and the temperature difference between the inside and the outside is large, the heart rate of the user will send a large change at this time, and if the heart rate in the heart rate information is greater than a preset value, the heart rate is judged to be in an abnormal condition.
At this time, the temperature regulation cosine curve can be generated according to the heart rate information of the user by detecting the heart rate information of the user, the temperature is slowly controlled to rise or fall, and after the heart rate information of the user is gradually recovered to be normal, the temperature is slowly controlled to be recovered to the most proper front scene temperature, so that the discomfort of the user caused by the environment with larger temperature difference in a short time is avoided.
Wherein, the regulation formula is: t=acos (wt+θ), where θ=2pi ft.
Wherein: t is a temperature value, A is a proportionality coefficient, w is the corresponding angular frequency of alternating current in the heart rate measurement process, T is the corresponding time in the heart rate acquisition process, θ is the corresponding angle, and f is the corresponding frequency of the heart rate.
S314, judging whether the abnormal situation is recovered.
And S315, if yes, recovering the first temperature to the target temperature.
Specifically, according to the temperature gradient corresponding to the frequency drop, a certain temperature drop is controlled within a certain time, different heart rates correspond to different temperature drop gradients, for example, the target temperature is 26 ℃, the current heart rate is 180, and the temperature gradient corresponding to the heart rate is 4 ℃, namely, the indoor temperature is reduced to 22 ℃ within 5 minutes. After the user has a rest in the room for a period of time, the heart rate information gradually returns to normal, and then the temperature is slowly controlled to return to the most appropriate pre-scene temperature, so that the discomfort of the user caused by the circumstance that the user experiences a larger temperature difference in a short time is avoided.
S321, obtaining crowd concentration.
S322, judging whether the crowd concentration exceeds a preset value, and if so, generating a ventilation instruction for controlling the ventilation degree of the air conditioner.
Specifically, the camera is used for collecting the number of people in real time, under a certain scene area, if the number of people is large, the people are dense, so that the indoor air quality is poor, diseases are easy to spread, the health of users is influenced, the camera is used for monitoring, the people are collected in real time, then the people are dense for carrying out big data processing, and if the people are dense, the air conditioner is controlled to increase the ventilation force, so that a comfortable and friendly environment is created.
Optionally, after S40, the method further includes:
s50, uploading the environment information to a cloud platform for storage and sending to a client.
Specifically, after big data processing is performed on the environment information, a visualized image is generated and sent to the user client. When an abnormal situation occurs, for example, a fire disaster occurs in industrial production, so that the temperature rises to an abnormal temperature suddenly, and under the condition that the site is unmanned, the server can send an alarm signal to the user side to remind the user of handling the emergency. Meanwhile, the user can manually adjust the air conditioning environment according to different special conditions.
Optionally, after S10, the method further includes:
s110, if the person is in the indoor scene, the person is not detected in the preset time.
S120, sending a stop instruction, wherein the stop instruction is used for controlling the air conditioner to stop running.
Specifically, if the user forgets to turn off the air conditioner after leaving the indoor scene, and the camera does not detect that a person exists in the scene for a long time, the air conditioner is automatically turned off, so that energy waste is avoided.
S130, if the operation time is in the production scene, judging whether the operation time exceeds a second preset time.
And S140, if yes, sending an adjustment instruction to the air conditioner and resetting the running time, wherein the adjustment instruction is used for regulating and controlling the rotation of each refrigerating unit.
Specifically, in large-scale situations such as industrial production, a plurality of air conditioning units are required to be operated in series or in parallel, and at this time, the operation time of each unit is adjusted according to the operation time of the air conditioning unit. The air conditioner unit can prevent one unit from running for a long time, other units are not running, or two units run simultaneously, and energy consumption and waste caused by direct mismatching are avoided, and meanwhile, the air conditioner unit is prevented from being excessively run to cause loss.
The embodiment of the application also discloses an air conditioner control system based on edge calculation, referring to fig. 4, the system comprises the following modules:
the first acquisition module is used for acquiring environment information and current temperature information.
The calculation generation module is used for carrying out big data fusion calculation on the environmental information to generate an initial temperature adjustment instruction, and the initial temperature adjustment instruction is used for adjusting the current temperature to obtain the target temperature.
And the second acquisition module is used for acquiring personnel information under the environment information.
The analysis and transmission module is used for analyzing and processing personnel information, and transmitting a control instruction based on an analysis result, wherein the control instruction is used for adjusting the target temperature.
The embodiment of the present application further provides a computer storage medium, where the computer storage medium may store a plurality of instructions, where the instructions are adapted to be loaded by a processor and execute the edge-calculation-based air conditioner control method in the embodiment shown in fig. 1 to fig. 3, and the specific execution process may refer to the specific description of the embodiment shown in fig. 1 to fig. 3, which is not repeated herein.
Referring to fig. 5, a schematic structural diagram of a server is provided in an embodiment of the present application. As shown in fig. 5, the server 1000 may include: at least one processor 1001, at least one network interface 1004, a user interface 1003, a memory 1005, at least one communication bus 1002.
Wherein the communication bus 1002 is used to enable connected communication between these components.
The user interface 1003 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 1003 may further include a standard wired interface and a wireless interface.
The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
Wherein the processor 1001 may include one or more processing cores. The processor 1001 connects various parts within the entire server 1000 using various interfaces and lines, and performs various functions of the server 1000 and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 1005, and calling data stored in the memory 1005. Alternatively, the processor 1001 may be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), programmable logic array (Programmable Logic Array, PLA). The processor 1001 may integrate one or a combination of several of a central processing unit (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU), and a modem, etc. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 1001 and may be implemented by a single chip.
The Memory 1005 may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 1005 includes a non-transitory computer readable medium (non-transitory computer-readable storage medium). The memory 1005 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 1005 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-described respective method embodiments, etc.; the storage data area may store data or the like referred to in the above respective method embodiments. The memory 1005 may also optionally be at least one storage device located remotely from the processor 1001. As shown in fig. 5, an operating system, a network communication module, a user interface module, and an air conditioner control application program based on edge calculation may be included in a memory 1005 as one type of computer storage medium.
In the server 1000 shown in fig. 5, the user interface 1003 is mainly used for providing an input interface for a user, and acquiring data input by the user; and the processor 1001 may be configured to call the edge calculation-based air conditioner control application program stored in the memory 1005, and specifically perform the following operations:
collecting environment information and current temperature information;
carrying out big data fusion calculation on the environmental information to generate an initial temperature regulating instruction, wherein the initial temperature regulating instruction is used for regulating the current temperature to obtain a target temperature;
collecting personnel information under the environment information;
and analyzing and processing the personnel information, and sending a control instruction based on the analysis result, wherein the control instruction is used for adjusting the target temperature.
In one embodiment, the processor 1001 performs big data fusion calculation on the environmental information to generate an initial temperature adjustment instruction, where the initial temperature adjustment instruction is used to adjust the current temperature to obtain the target temperature, and further performs the following operations:
judging scene categories of the scene information;
and determining the scene information and the target temperature corresponding to the humidity information based on the corresponding relation among different scene categories, different humidity information and different temperatures, and generating an initial control instruction, wherein the initial temperature adjustment instruction is used for adjusting the current temperature to the target temperature.
In one embodiment, the processor 1001, in collecting personnel information, also performs the following:
acquiring heart rate information;
judging whether the heart rate information is larger than a preset value or not;
if yes, judging that the heart rate is in an abnormal condition, processing heart rate information by using an adjusting formula to obtain a temperature change curve, and generating a first temperature control instruction, wherein the first temperature control instruction is used for adjusting the target temperature to obtain a first temperature;
judging whether the abnormal situation is recovered;
if yes, the first temperature is restored to the target temperature.
The adjusting formula is as follows: t=acos (wt+θ), where θ=2pi ft;
wherein: t is a temperature value, A is a proportionality coefficient, w is an angular frequency, T is a corresponding time in the heart rate acquisition process, θ is a corresponding angle, and f is a heart rate corresponding frequency.
In one embodiment, after acquiring heart rate information, the processor 1001 further performs the following:
acquiring crowd concentration;
judging whether the crowd concentration exceeds a preset value, and if so, generating a ventilation instruction which is used for adjusting the ventilation degree of the air conditioner.
In one embodiment, the processor 1001 further performs the following operations after analyzing the personnel information:
and uploading the environment information to a cloud platform for storage and sending to a client.
In one embodiment, the processor 1001, after determining the scene category of the scene information, further performs the following operations: and if no person is detected in the indoor scene within the preset time, sending a stop instruction which is used for controlling the air conditioner to stop running.
If the operation time is in the production scene, judging whether the operation time exceeds a second preset time;
if yes, sending an adjusting instruction to the air conditioner, and resetting the running time, wherein the adjusting instruction is used for adjusting and controlling the rotation of each refrigerating unit.
The foregoing is merely exemplary embodiments of the present disclosure and is not intended to limit the scope of the present disclosure. That is, equivalent changes and modifications are contemplated by the teachings of this disclosure, which fall within the scope of the present disclosure. Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains.

Claims (5)

1. An air conditioner control method based on edge calculation, which is suitable for an edge server, the method comprising:
collecting environment information and current temperature information, wherein the environment information comprises scene information and humidity information;
performing big data fusion calculation on the environment information to generate an initial temperature regulating instruction, wherein the initial temperature regulating instruction is used for regulating the current temperature to obtain a target temperature;
collecting personnel information under the environment information;
analyzing and processing the personnel information, and sending a control instruction based on an analysis result, wherein the control instruction is used for adjusting the target temperature;
the method for obtaining the target temperature includes the steps of:
judging the scene category of the scene information;
determining target temperatures corresponding to scene information and humidity information based on corresponding relations among different scene categories, different humidity information and different temperatures, and generating an initial control instruction, wherein the initial temperature adjustment instruction is used for adjusting the current temperature to the target temperature;
wherein after the judging of the scene category of the scene information, further comprises:
if no person is detected in the indoor scene within the preset time, sending a stop instruction, wherein the stop instruction is used for controlling the air conditioner to stop running;
if the operation time is in the production scene, judging whether the operation time exceeds a second preset time;
if yes, sending an adjusting instruction to an air conditioner and clearing the running time, wherein the adjusting instruction is used for regulating and controlling the rotation of each refrigerating unit;
wherein, the collecting personnel information under the environment information includes:
acquiring heart rate information;
judging whether the heart rate information is larger than a preset value or not;
if yes, judging that the heart rate is in an abnormal condition, processing heart rate information by using an adjusting formula to obtain a temperature change curve, and generating a first temperature control instruction, wherein the first temperature control instruction is used for adjusting the target temperature to obtain a first temperature;
judging whether the abnormal situation is recovered;
if yes, the first temperature is restored to the target temperature;
wherein, the regulation formula is: t=acos (wt+θ), where θ=2pi ft;
wherein: t is the temperature drop value corresponding to the heart rate, A is the proportionality coefficient, w is the corresponding angular frequency of alternating current in the heart rate measurement process, T is the corresponding time in the heart rate acquisition process, θ is the corresponding angle, and f is the corresponding frequency of the heart rate.
2. The edge calculation-based air conditioner control method according to claim 1, further comprising, after acquiring the heart rate information:
acquiring crowd concentration;
judging whether the crowd concentration exceeds a preset value, and if so, generating a ventilation instruction which is used for adjusting the ventilation degree of the air conditioner.
3. The edge calculation-based air conditioner control method according to claim 1, further comprising, after the analysis processing of the person information:
and uploading the environment information to a cloud platform for storage and sending to a client.
4. A computer storage medium storing a plurality of instructions adapted to be loaded by a processor and to perform the edge-calculation based air conditioning control method according to any one of claims 1 to 3.
5. A server, comprising: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the edge calculation based air conditioner control method according to any one of claims 1 to 3.
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