WO2023024517A1 - 空调器控制方法、控制装置和空调器 - Google Patents

空调器控制方法、控制装置和空调器 Download PDF

Info

Publication number
WO2023024517A1
WO2023024517A1 PCT/CN2022/084376 CN2022084376W WO2023024517A1 WO 2023024517 A1 WO2023024517 A1 WO 2023024517A1 CN 2022084376 W CN2022084376 W CN 2022084376W WO 2023024517 A1 WO2023024517 A1 WO 2023024517A1
Authority
WO
WIPO (PCT)
Prior art keywords
target
air conditioner
health
care
compressor
Prior art date
Application number
PCT/CN2022/084376
Other languages
English (en)
French (fr)
Inventor
宋龙
吕福俊
Original Assignee
青岛海尔空调器有限总公司
青岛海尔空调电子有限公司
海尔智家股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 青岛海尔空调器有限总公司, 青岛海尔空调电子有限公司, 海尔智家股份有限公司 filed Critical 青岛海尔空调器有限总公司
Publication of WO2023024517A1 publication Critical patent/WO2023024517A1/zh

Links

Classifications

    • 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
    • F24F11/00—Control or safety arrangements
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
    • F24F11/86—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling compressors within refrigeration or heat pump circuits
    • 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
    • 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

Definitions

  • the invention belongs to the technical field of air conditioning equipment, and in particular relates to an air conditioner control method, an air conditioner control device and an air conditioner.
  • smart healthcare provides users with medical and health interactive service guarantees and becomes an indispensable part of future life.
  • Existing smart medical care is mainly used in subdivided fields such as medical material supervision, medical information management, and telemedicine to realize the production and logistics tracking of medical equipment and drugs, drug information query and anti-counterfeiting, cloud management of electronic medical records, virtual consultation, etc. It is not difficult to see that the existing intelligent medical applications are mainly concentrated in large institutions such as hospitals.
  • the existing technology also hopes that smart medical care can have further applications, such as the technical solution disclosed in the Chinese patent application (CN105972750A): "A method and system for air-conditioning control based on medical information, wherein the air-conditioning control based on medical information
  • the method includes the following steps: the medical information system enters the user's medical record information and uploads it to the server; the air conditioner control terminal obtains the medical record information from the server, and generates an air conditioner control instruction according to the medical record information and current environmental information, and controls the air conditioner to operate according to the air conditioner control instruction.
  • the medical information system enters the user's medical record information and uploads it to the server.
  • the medical record information includes the user's identity information, health status, disease diagnosis and treatment, biological gene information, etc., which not only involves user privacy, but also has special sensitivity. Once leaked, it may bring users physical and mental distress and property loss, and even have a negative impact on social stability and national security.
  • the first aspect of the present invention designs and proposes an air conditioner control method.
  • An air conditioner control method comprising the following steps: preset and store a number of care modes, the care modes include abnormal index models; in a standby or power-on state, judging whether health information actively input by a user is received, and the health information Including health indicators; judging whether the health indicators match the index anomaly model corresponding to the care mode; if the health indicators match the index anomaly model, call the correction parameters corresponding to the care mode to modify and generate according to user instructions operating mode; if the health indicator does not match the indicator anomaly model, call the push parameter corresponding to the care mode to modify the push mode generated according to the user instruction.
  • the method further includes the following steps: checking whether the users in the air-conditioned room include the target users; if the target users are included, calling the correction parameters corresponding to the care mode to modify the operation mode generated according to the user instruction.
  • the correction parameter is a compressor target frequency correction value
  • invoking the correction parameter corresponding to the care mode to modify the operation mode generated according to the user instruction includes: invoking the compressor target frequency correction value; controlling the compressor target operation The frequency is the difference between the first target operating frequency generated according to the user instruction and the target frequency correction value.
  • the correction parameter is a correction value of the target speed of the indoor fan
  • calling the correction parameter corresponding to the care mode to correct the operation mode generated according to the user instruction includes: calling the correction value of the target speed of the indoor fan; controlling the target speed of the indoor fan is the difference between the first target speed generated according to the user instruction and the correction value of the target speed.
  • a second aspect of the present invention provides an air conditioner control device, including: a setting module configured to pre-set and store a number of care modes, the care modes include abnormal index models; a first judgment module , the first judging module is configured to judge whether the health information actively input by the user is received in the standby or power-on state, the health information includes health indicators; the second judging module is configured to be in the standby state Or in the power-on state, judging whether the health indicator matches the indicator abnormal model corresponding to the nursing mode; the first execution module, when the health indicator matches the indicator abnormal model, calls the nursing Correction parameters corresponding to the mode to correct the operation mode generated according to the user instruction; and a second execution module, when the health indicator does not match the index abnormality model, the second execution module calls the push parameter corresponding to the care mode to fix push patterns generated based on user commands.
  • the air conditioner control device further includes: a verification module configured to verify whether the users in the air-conditioned room include target users; the first execution module is configured to verify the target user in the air-conditioned room When the users in include the target user, call the correction parameters corresponding to the care mode to modify the operation mode generated according to the user instruction.
  • the first execution module includes: a first calling unit configured to call a compressor target frequency correction value and/or an indoor fan target speed correction value; and a first drive unit, the first A driving unit is configured to control the target operating frequency of the compressor to be the difference between the first target operating frequency generated according to the user instruction and the target frequency correction value, and/or configured to control the target speed of the indoor fan to be the first target operating frequency generated according to the user instruction. The difference between the target speed and the correction value of the target speed.
  • the first execution module includes: a second calling unit configured to call the adjustment cycle of the operating frequency of the compressor; and a second driving unit configured to control each For each adjustment cycle, adjust the operating frequency of the compressor once until the operating frequency of the compressor reaches the target operating frequency of the compressor.
  • a third aspect of the present invention provides an air conditioner, using an air conditioner control method; the air conditioner control method includes the following steps: presetting and storing a number of care modes, the care modes include abnormal index models; standby or power-on state Next, judge whether the health information actively input by the user is received, and the health information includes the health index; judge whether the health index matches the index abnormal model corresponding to the care mode; if the health index matches the index abnormal model If it matches, call the correction parameter corresponding to the care mode to modify the operation mode generated according to the user instruction; if the health indicator does not match the index abnormal model, call the push parameter corresponding to the care mode to correct the operation mode generated according to the user instruction push mode.
  • Fig. 1 is a flow chart of an embodiment of the air conditioner control method provided by the present invention
  • Fig. 2 is a schematic structural block diagram of an embodiment of an air conditioner control device provided by the present invention.
  • the air conditioner control method includes the following steps.
  • a processor is preset in the air conditioner, and the processor is optionally implemented by an MCU chip.
  • the processor can recall the content stored in the storage unit, which includes various physical forms, such as system memory, read-only memory (ROM), and persistent storage. Several pre-set care modes are stored in the storage unit and can be recalled by the processor at any time.
  • the abnormal index model corresponds to common diseases or sub-health states.
  • the abnormal index model is established based on the clinical significance of medical examination indicators, for example, one or more medical examination indicators are higher or lower than the normal value. Based on the index abnormality model, it is possible to observe the medical record status and progress of the disease and assist in making judgments on drug treatment options.
  • Health information includes health indicators.
  • Health indicators include but are not limited to height, weight, body fat, body temperature, blood pressure, blood oxygen saturation, CT (Computed Tomography) images, MRI (Magnetic Resonance Imaging) images, B-mode ultrasound examination parameters, blood routine examination parameters, Routine urine test parameters, electrocardiogram, etc., are indicators for diagnosing diseases or identifying sub-health states. Users can obtain it based on home medical equipment, or conduct testing in medical institutions.
  • the function of an ordinary air-conditioning system is to maintain the required temperature and humidity of the indoor air, and the target temperature and humidity are generated by user instructions, such as input through a remote control or a control panel.
  • the control goal of a common air conditioning system is to make the indoor environment reach the required temperature and humidity in the shortest possible time.
  • the correction parameters enable the existing control algorithm to be actively corrected, so that the air conditioner can be used to form a mild indoor environment, prevent high-frequency operation from too low humidity, too low temperature, too high temperature, too fast temperature drop or rise, and avoid induced Acute and life-threatening symptoms, either predisposing to or exacerbating respiratory disease.
  • the push information of an ordinary air-conditioning system generally includes operating information such as the temperature of the air-conditioning room and the working mode.
  • the user when the user actively inputs the health information, it means that although the current health index does not match the index abnormality model corresponding to the care mode, the user is concerned about the health index corresponding to the health information, and further calls the push button corresponding to the care mode Parameter fixes the push mode generated based on user commands.
  • Push parameters include push information corresponding to health indicators, including scientific and reasonable life routines, healthy diet suggestions, etc., as well as music and entertainment information that are beneficial to physical and mental health.
  • users can independently choose whether to input health information including health indicators into the air conditioner.
  • call the correction parameters corresponding to the care mode to correct the operation model generated according to the user's instruction or call the push parameters corresponding to the care mode to correct the push mode generated according to the user's instruction when the health indicator does not match the abnormal index model. It is completed locally or in a local area network to form a unique database and analysis conclusions for target users, which has the advantages of safety and effectiveness.
  • a care model may include a plurality of abnormal index models, and the air conditioner control method further includes the following steps.
  • the health indicator matches the indicator anomaly model, it starts to receive the monitoring information generated and output by the external terminal, and the monitoring information includes the monitoring indicator.
  • the external terminal is preferably a wearable device, including but not limited to smart watches, smart bracelets, ear-worn devices, smart glasses, smart clothing, smart shoes, etc., and can also be smart blood pressure monitors and smart blood glucose meters.
  • the external terminal can monitor body temperature, blood pressure, blood sugar, blood oxygen saturation, ECG, respiration and other sign parameters, and generate monitoring information according to the index abnormal model, and select monitoring indicators among the sign parameters.
  • the first setting cycle is started, and it is judged at several monitoring points in the first setting cycle whether the monitoring index matches the index abnormal model. If they match, mark the corresponding monitoring point as a valid monitoring point.
  • the ratio of effective monitoring points to total monitoring points is calculated and recorded as the proportion of effective monitoring points. Determine whether the proportion of effective monitoring points is greater than or equal to the set threshold. If the proportion of effective monitoring points is greater than or equal to the set threshold, it means that the user's physical condition has not improved significantly, and the early warning parameters corresponding to the nursing mode are called to modify the early warning mode generated according to the user's instructions, and the user is reminded to return to the doctor in time through voice or human-computer interaction interface or review.
  • the white blood cell count as an example of the health indicator, if the white blood cell count matches the index abnormality model, it means that the white blood cell technology is abnormal.
  • Abnormal white blood cell count can be caused by physiological reasons such as strenuous exercise, excitement, drinking, etc. It can also be caused by influenza, various bacterial infections, or due to medication, such as multiple use of antipyretic and analgesic drugs , antibiotics, etc., may also be caused by serious diseases such as chronic leukemia.
  • the white blood cell count needs to be tested by venipuncture blood sampling to get the test result, and the patient needs to spend a certain amount of money, time and energy.
  • the air conditioner executes the corrected control target in the corresponding care mode and can only return to normal when the user enters again or forcibly cancels the care mode. If the above method is used, if the white blood cell count If it matches the indicator abnormal model, it first starts to receive the monitoring information generated and output by the external terminal, and the monitoring information includes monitoring indicators.
  • the monitoring indicators can be body temperature and/or heart rate.
  • the first setting cycle for example, the first setting cycle is 72 hours, and judge whether the monitoring index matches the abnormal index model at several equally divided monitoring points in the first setting cycle, that is, whether the body temperature and/or heart rate are abnormal. If they match, mark the corresponding monitoring point as a valid monitoring point.
  • the ratio of effective monitoring points to total monitoring points is calculated and recorded as the proportion of effective monitoring points. Determine whether the proportion of effective monitoring points is greater than or equal to the set threshold. If the proportion of effective monitoring points is greater than or equal to the set threshold, it means that the user not only has an abnormal white blood cell count, but also has an abnormal state of body temperature and/or heart rate within 72 hours, and the physical condition has not improved significantly.
  • the early-warning mode generated by user instructions reminds users to follow-up or review in time through voice or human-computer interaction interface.
  • the proportion of effective monitoring points is less than the set threshold, it means that the user's body temperature and/or heart rate are basically normal, and the user can choose whether to return for a follow-up visit or re-examination.
  • medical indicators that are relatively difficult to obtain such as indicators that can only be obtained through physical examination reports
  • preliminary suggestions can be formed through efficient methods to assist users in controlling diagnosis and treatment costs. At the same time, it will not cause excessive psychological burden to users.
  • the air conditioner control method may further include the following steps.
  • the health indicator matches the indicator anomaly model, it starts to receive the monitoring information generated and output by the external terminal, and the monitoring information includes the monitoring indicator.
  • the air conditioner control method provided by the present invention also includes the following steps:
  • the correction parameter is a correction value of a target frequency of the compressor, such as 5 Hz or 10 Hz.
  • Calling the correction parameter corresponding to the care mode to modify the operating mode generated according to the user instruction includes: calling the compressor target frequency correction value, and controlling the compressor target operating frequency to be the difference between the first target operating frequency generated according to the user instruction and the target frequency correction value. For example, if the correction value of the target frequency of the compressor is 5Hz, if the health index matches the abnormal model of the index, the first target operating frequency generated according to the user instruction is 90Hz, and the target operating frequency of the compressor is controlled to be 85Hz to effectively promote the mildness of the indoor environment. Prevent the high-frequency operating room from being too dry, too cold or too hot.
  • the correction parameter may also be an adjustment cycle of the operating frequency of the compressor.
  • Invoking the correction parameters corresponding to the care mode and correcting the operation mode generated according to the user instruction includes: controlling the operation frequency of the compressor every other adjustment cycle until the operation frequency of the compressor reaches the target operation frequency of the compressor.
  • the adjustment cycle is twice the length of the existing compressor frequency adjustment interval, that is, the air conditioner defaults to adjust the compressor frequency interval for 2 seconds, that is, it increases by 1 Hz every 2 seconds.
  • Control every other adjustment cycle adjust the operating frequency of the compressor until the operating frequency of the compressor reaches the target operating frequency of the compressor, that is, increase the operating frequency by 1Hz every 4 seconds, to avoid blood vessel constriction caused by rapid temperature drop in the air-conditioned room, resulting in dizziness and other symptoms caused by blood pressure fluctuations.
  • the correction parameter is a correction value of a target speed of the indoor fan, for example, 100 rpm or 200 rpm.
  • Calling the correction parameters corresponding to the nursing mode to modify the operation mode generated according to the user instruction includes: calling the correction value of the target speed of the indoor fan, and controlling the target speed of the indoor fan to be the difference between the first target speed generated according to the user instruction and the target speed. For example, if the corrected value of the target speed of the indoor fan is 100 rpm, if the health indicator matches the index abnormality model, the first target speed generated by the control according to the user instruction is reduced by 100 rpm.
  • the correction parameters can also include not only the correction value of the target frequency of the compressor, but also the adjustment period of the compressor operating frequency and the correction value of the target speed of the indoor fan, so as to provide more moderate indoor temperature for pregnant women, children and other weak users. environment, to avoid secondary infection induced by indoor temperature fluctuations and so on.
  • a second aspect of the present invention provides an air conditioner control device.
  • the air conditioner control device includes: a setting module, a first judging module, a second judging module, a first executing module and a second executing module, etc., which are described below.
  • the setting module is configured to pre-set and store a number of care models, and the care models include abnormal index models.
  • the abnormal index model corresponds to common diseases or sub-health states.
  • the abnormal index model is established based on the clinical significance of medical examination indicators, for example, one or more medical examination indicators are higher or lower than the normal value. Based on the index abnormality model, it is possible to observe the medical record status and progress of the disease and assist in making judgments on drug treatment options.
  • the first judging module is configured to judge whether the health information actively input by the user is received in the standby or power-on state, and the health information includes health indicators.
  • Health indicators include but are not limited to height, weight, body fat, body temperature, blood pressure, blood oxygen saturation, CT (Computed Tomography) images, MRI (Magnetic Resonance Imaging) images, B-mode ultrasound examination parameters, blood routine examination parameters, Routine urine test parameters, electrocardiogram, etc., are indicators for diagnosing diseases or identifying sub-health states. Users can obtain it based on home medical equipment, or conduct testing in medical institutions.
  • the second judging module is configured to judge whether the health index matches the index abnormality model corresponding to the care mode in the standby or power-on state.
  • the first execution module is configured to call the correction parameters corresponding to the care mode to modify the operation mode generated according to the user instruction when the health index matches the index abnormality model.
  • the function of an ordinary air-conditioning system is to maintain the required temperature and humidity of the indoor air, and the target temperature and humidity are generated by user instructions, such as input through a remote control or a control panel.
  • the control goal of a common air conditioning system is to make the indoor environment reach the required temperature and humidity in the shortest possible time.
  • the correction parameters enable the existing control algorithm to be actively corrected, so that the air conditioner can be used to form a mild indoor environment, prevent high-frequency operation from too low humidity, too low temperature, too high temperature, too fast temperature drop or rise, and avoid induced Acute and life-threatening symptoms, either predisposing to or exacerbating respiratory disease.
  • a second execution module when the health indicator does not match the index abnormality model, the second execution module invokes the push parameters corresponding to the care mode to modify the push mode generated according to the user instruction.
  • the air conditioner control device further includes a verification module configured to verify whether the users in the air-conditioned room include the target users.
  • the first execution module is configured to call the correction parameters corresponding to the care mode to modify the operation mode generated according to the user instruction when the verification module verifies that the users in the air-conditioned room include target users.
  • methods such as image verification and voice verification can be used. For example, bind the health information with the target user's image or target user's voice in advance, collect the user's image or voice through the camera or microphone, and judge whether it is the target user, and when the user in the air-conditioned room includes the target user, call the corresponding
  • the correction parameter corrects the running mode generated according to the user command.
  • the first execution module includes: a first calling unit configured to call the correction value of the target frequency of the compressor and/or the correction value of the target speed of the indoor fan; and a first driving unit configured to control the target operation of the compressor
  • the frequency is the difference between the first target operating frequency generated according to the user instruction and the target frequency correction value, and/or configured to control the indoor fan target speed to be the difference between the first target speed generated according to the user instruction and the target speed correction value.
  • the first execution module includes: a second calling unit configured to call the adjustment period of the operating frequency of the compressor; and a second driving unit configured to control each In the adjustment cycle, the operating frequency of the compressor is adjusted once until the operating frequency of the compressor reaches the target operating frequency of the compressor.
  • the user can independently choose whether to input the health information including the health index, and automatically compare the health index with the corresponding index abnormal model after the user inputs, and further compare the health index and the index abnormal model When matching, call the correction parameters corresponding to the care mode to correct the operation model generated according to the user's instructions, or call the push parameters corresponding to the care mode to correct the push mode generated according to the user's instructions when the health indicator does not match the abnormal index model. It is completed locally or in a LAN to form a unique database and analysis conclusions for target users, which has the advantages of safety and effectiveness.
  • An embodiment of the present application further provides an air conditioner, using the above air conditioner control method.
  • the air conditioner control method For the specific steps of the air conditioner control method, refer to the detailed description of the above embodiments and the detailed description of the attached drawings. No more details are given here, the air conditioner adopting the above air conditioner control method can achieve the same technical effect.
  • the embodiment of the present application also provides a computer storage medium, wherein the computer storage medium is stored in a computer program for electronic data exchange, and the computer program enables the air conditioner to perform some or all steps of any method described in the above method embodiments.
  • the disclosed device can be implemented in other ways.
  • the device embodiments described above are only illustrative.
  • the division of the above-mentioned units or modules is only a logical function division.
  • multiple units or components can be combined or May be integrated into another system, or some features may be ignored, or not implemented.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical or other forms.
  • the units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one physical space, or may be distributed to multiple network units, Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit.
  • the above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

Landscapes

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

Abstract

一种空调器控制方法，包括以下步骤：预先设定并存储若干照护模式，照护模式包括指标异常模型；待机或开机状态下，判断是否接收到用户主动输入的健康信息，健康信息包括健康指标；判断健康指标是否与照护模式对应的指标异常模型匹配；如果健康指标与指标异常模型匹配，则调用照护模式对应的校正参数修正根据用户指令生成的运行模式；如果健康指标与指标异常模型不匹配，则调用照护模式对应的推送参数修正根据用户指令生成的推送模式。同时还公开一种控制装置和空调器。本发明形成针对目标用户的健康信息形成特有的控制策略或推送策略，具有高效安全且智能化程度高的优点。

Description

空调器控制方法、控制装置和空调器 技术领域
本发明属于空气调节设备技术领域，尤其涉及一种空调器控制方法、一种空调器控制装置以及一种空调器。
 背景技术
智能医疗作为生命科学和信息技术的交叉学科，为用户提供了医疗健康互动服务保障，成为未来生活必不可少的一部分。现有的智能医疗主要应用于医疗物资监管、医疗信息管理和远程医疗等细分领域，实现医疗设备和药品的生产与物流跟踪、药品信息查询和防伪、电子病历的云端管理，虚拟会诊等。不难看出，现有的智能医疗应用主要集中于医院等大型机构。
在用户端，现有技术也希望智能医疗可以有进一步的应用，如中国专利申请（CN105972750A）所公开的技术方案：“一种基于医疗信息的空调控制方法和系统，其中基于医疗信息的空调控制方法包括以下步骤：医疗信息系统录入用户的病历信息并上传至服务器；空调控制端从服务器获取病历信息，并根据病历信息和当前环境信息生成空调控制指令，控制空调按照空调控制指令运行。”
 技术问题
由医疗信息系统录入用户的病历信息并上传至服务器，存在数据泄露的问题，病历信息包括用户的身份信息、健康状况、疾病诊疗情况、生物基因信息等，不仅涉及用户隐私，还具有特殊的敏感性和重要价值，一旦泄露，可能给用户带来身心困扰和财产损失，甚至对社会稳定和国家安全造成负面影响。
 技术解决方案
针对由医疗信息系统录入用户的病历信息并上传至服务器、存在数据泄露的问题，本发明的第一个方面设计并提出一种空调器控制方法。
一种空调器控制方法，包括以下步骤：预先设定并存储若干照护模式，所述照护模式包括指标异常模型；待机或开机状态下，判断是否接收到用户主动输入的健康信息，所述健康信息包括健康指标；判断所述健康指标是否与所述照护模式对应的指标异常模型匹配；如果所述健康指标与所述指标异常模型匹配，则调用所述照护模式对应的校正参数修正根据用户指令生成的运行模式；如果所述健康指标与所述指标异常模型不匹配，则调用所述照护模式对应的推送参数修正根据用户指令生成的推送模式。
进一步的，还包括以下步骤：校验空调房间内的用户是否包括目标用户；如果包括目标用户，则调用所述照护模式对应的校正参数修正根据用户指令生成的运行模式。
可选的，所述校正参数为压缩机目标频率校正值；调用所述照护模式对应的校正参数修正根据用户指令生成的运行模式包括：调用所述压缩机目标频率校正值；控制压缩机目标运行频率为根据用户指令生成的第一目标运行频率与所述目标频率校正值之差。
可选的，所述校正参数为压缩机运行频率的调节周期；调用所述照护模式对应的校正参数修正根据用户指令生成的运行模式包括：控制每隔一个所述调节周期，调节一次压缩机运行频率直至压缩机运行频率达到压缩机目标运行频率。
可选的，所述校正参数为室内风机目标转速校正值；调用所述照护模式对应的校正参数修正根据用户指令生成的运行模式包括：调用所述室内风机目标转速校正值；控制室内风机目标转速为根据用户指令生成的第一目标转速与所述目标转速校正值之差。
本发明的第二个方面提供一种空调器控制装置，包括：设定模块，所述设定模块配置为预先设定并存储若干照护模式，所述照护模式包括指标异常模型；第一判断模块，所述第一判断模块配置为在待机或开机状态下，判断是否接收到用户主动输入的健康信息，所述健康信息包括健康指标；第二判断模块，所述第二判断模块配置为在待机或开机状态下，判断所述健康指标是否与所述照护模式对应的指标异常模型匹配；第一执行模块，所述第一执行模块在所述健康指标与所述指标异常模型匹配时，调用照护模式对应的校正参数以修正根据用户指令生成的运行模式；和第二执行模块，所述第二执行模块在所述健康指标与所述指标异常模型均不匹配时，调用照护模式对应的推送参数以修正根据用户指令生成的推送模式。
进一步的，空调器控制装置还包括：校验模块，所述检验模块配置为校验空调房间内的用户是否包括目标用户；所述第一执行模块配置为在所述校验模块校验空调房间内的用户包括目标用户时，调用照护模式对应的校正参数以修正根据用户指令生成的运行模式。
进一步的，所述第一执行模块包括：第一调用单元，所述第一调用单元配置为调用压缩机目标频率校正值和/或室内风机目标转速校正值；和第一驱动单元，所述第一驱动单元配置为控制压缩机目标运行频率为根据用户指令生成的第一目标运行频率与所述目标频率校正值之差，和/或配置为控制室内风机目标转速为根据用户指令生成的第一目标转速与所述目标转速校正值之差。
可选的，所述第一执行模块包括：第二调用单元，所述第二调用单元配置为调用压缩机运行频率的调节周期；和第二驱动单元，所述第二驱动单元配置为控制每个一个所述调节周期，调节一次压缩机运行频率直至压缩机运行频率达到压缩机目标运行频率。
本发明的第三个方面提供一种空调器，应用空调器控制方法；空调器控制方法包括：以下步骤：预先设定并存储若干照护模式，所述照护模式包括指标异常模型；待机或开机状态下，判断是否接收到用户主动输入的健康信息，所述健康信息包括健康指标；判断所述健康指标是否与所述照护模式对应的指标异常模型匹配；如果所述健康指标与所述指标异常模型匹配，则调用所述照护模式对应的校正参数修正根据用户指令生成的运行模式；如果所述健康指标与所述指标异常模型不匹配，则调用所述照护模式对应的推送参数修正根据用户指令生成的推送模式。
 有益效果
与现有技术相比，本发明的优点和积极效果是：
用户可以自主选择是否将包括健康指标的健康信息输入至空调器内，空调器自动将健康指标与对应的指标异常模型比对，进一步在健康指标与指标异常模型匹配时，调用照护模式对应的校正参数修正根据用户指令生成的运行模型，或者在健康指标与指标异常模型不匹配时，调用照护模式对应的推送参数修正根据用户指令生成的推送模式，整个过程在本地或局域网内完成，形成针对目标用户的特有的数据库和分析结论，具有安全有效的优点。
结合附图阅读本发明的具体实施方式后，本发明的其他特点和优点将变得更加清楚。
 附图说明
为了更清楚地说明本发明实施例中的技术方案，下面将对实施例中所需要使用的附图作一简单地介绍，显而易见地，下面描述中的附图是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1 为本发明所提供的空调器控制方法一种实施例的流程图；
图2为本发明所提供的空调器控制装置一种实施例的结构示意框图。
 本发明的实施方式
为了使本发明的目的、技术方案及优点更加清楚明白，以下将结合附图和实施例，对本发明作进一步详细说明。
本发明的说明书和权利要求书及所述附图中的术语“第一”、“第二”、“第三”等是用于区别不同对象，而不是用于描述特定顺序。此外，术语“包括”和“具有”以及它们的任何变形，代表覆盖不排他的包含。例如包含了一系列步骤或单元的过程、方法、系统、产品或设备没有限定于已列出的步骤或单元，而是可选地还包括没有列出的步骤或单元，或可选地还包括对于这些过程、方法、产品或设备固有的其它步骤或单元。
在本发明中“实施例”代表结合实施例描述的特定特征、结构或特性可以包含在本申请的至少一个实施例中。在说明书中，各个位置出现该短语并不一定均是指相同的实施例，也不是与其它实施例互斥的独立的或备选的实施例。本领域技术人员可以理解，本文所描述的实施例可以与其它实施例相结合。
为解决现有技术中由医疗信息系统录入用户的病历信息并上传至服务器，存在数据泄露的问题，设计并提出一种空调器的控制方法。如图1所示，空调器控制方法包括以下步骤。
S1，预先设定并存储若干照护模式，照护模式包括指标异常模型。具体来说，在空调器中预先设置有处理器，处理器可选的由一颗MCU芯片实现，在本发明中对处理器的型号和数据处理能力没有特别限制。处理器可以调用存储单元中存储的内容，存储单元包括各种物理形式，例如系统内存、只读存储器（ROM）和永久存储装置等。预先设定的若干照护模式存储在存储单元中可供处理器随时调用。指标异常模型对应常见疾病或者亚健康状态，指标异常模型依据医学检查指标的临床意义建立,例如某一项或多项医学检查指标高于或低于正常值。基于指标异常模型，可以观察疾病的病历状态和进程并辅助对药物治疗方案做出判断。
S2, 空调器待机或开机状态下，判断是否接收到用户主动输入的健康信息。健康信息包括健康指标。健康指标包括但不限于身高、体重、体脂、体温、血压、血氧饱和度、CT（电子计算机断层扫描）图像、MRI(磁共振成像)图像、B型超声检查参数、血常规检查参数、尿常规检测参数、心电图等，这些均为诊断疾病或鉴别亚健康状态的指标。用户可以基于家用医疗设备获得，或者在医疗机构进行检测。
S3，判断健康指标是否与照护模式对应的指标异常模型匹配。
S4，如果健康指标与指标异常模型匹配，则调用照护模式对应的校正参数修正根据用户指令生成的运行模式。普通的空调系统的作用是保持室内空气具有要求的温湿度，目标温度和湿度由用户指令生成，例如通过遥控器或者控制面板输入。普通的空调系统的控制目标是可以在尽量短的时间内使得室内环境达到所要求的温湿度。而校正参数则使得现有的控制算法被主动修正，从而利用空调器形成温和的室内环境、防止高频运行湿度过低、温度过低、温度过高、温度下降或上升幅度过快，避免诱发急性且危及生命的症状，或者诱发呼吸道疾病或导致呼吸道疾病加重。
S5，如果健康指标与指标异常模型不匹配，则调用照护模式对应的推送参数修正根据用户指令生成的推送模式。普通的空调系统的推送信息一般包括空调房间的温度，工作模式等操作信息。在本发明中，当用户主动输入健康信息后，说明虽然当前健康指标与照护模式对应的指标异常模型不匹配，但用户对健康信息所对应的健康指标有所关注，进一步调用照护模式对应的推送参数修正根据用户指令生成的推送模式。推送参数包括与健康指标对应的推送信息，包括科学合理的生活作息、健康饮食建议等，还包括有利于身心健康的音乐、娱乐信息等。
本发明所提供的空调器控制方法，用户可以自主选择是否将包括健康指标的健康信息输入至空调器内，空调器自动将健康指标与对应的指标异常模型比对，进一步在健康指标与指标异常模型匹配时，调用照护模式对应的校正参数修正根据用户指令生成的运行模型，或者在健康指标与指标异常模型不匹配时，调用照护模式对应的推送参数修正根据用户指令生成的推送模式，整个过程在本地或局域网内完成，形成针对目标用户的特有的数据库和分析结论，具有安全有效的优点。
很多医学检查指标异常不仅仅是由疾病引起的，很多时候也会由于人体活动不同而出现生理性异常。此外，有些疾病可以自愈，在自愈后健康指标会自动恢复正常。为了便于用户可以及时复诊，同时也可以给予用户反馈建议，合理降低复诊次数，控制医疗费用。在一种优选的实施方式中，一个照护模式可以包括多个指标异常模型，空调器控制方法还包括以下步骤。
如果健康指标与指标异常模型匹配，则开始接收外部终端生成并输出的监控信息，监护信息包括监控指标。外部终端优选为可穿戴设备，包括但不限于智能手表、智能手环、耳戴设备、智能眼镜、智能服装、智能鞋等，还可以是智能血压计和智能血糖仪等。外部终端可以进行体温、血压、血糖、血氧饱和度、心电、呼吸等体征参数的监测，并根据指标异常模型生成监护信息，并在体征参数中选择监控指标。
启动第一设定周期，在第一设定周期中的若干个监测点判断监控指标是否与指标异常模型匹配。如果匹配，则标记对应的监测点为有效监测点。
在第一设定周期结束时，计算有效监测点与总监测点的比例，记为有效监测点比重。判断有效监测点的比重是否大于等于设定阈值。如果有效监测点比重大于等于设定阈值，说明用户的身体状态并没有明显好转，则调用照护模式对应的预警参数修正根据用户指令生成的预警模式，通过语音或者人机交互界面提醒用户及时复诊或者复查。
举例来说，以健康指标为白细胞计数为例，如果白细胞计数与指标异常模型匹配，说明白细胞技术异常。白细胞计数异常可以是由于剧烈运动、兴奋激动、饮酒等生理性原因造成的，还可以是流行性感冒、各种细菌感染造成的，还可能是由于用药造成的，例如复用解热镇痛药、抗生素等，也有可能是由于慢性白血病等严重疾病造成的。白细胞计数需要通过静脉穿刺采血化验才能得到检测结果，患者需要花费一定的金钱、时间和精力。当白细胞计数与指标异常模型匹配时，空调器执行对应照护模式下的修正控制目标且只能等到用户再次输入或者强制取消照护模式时才能恢复正常，而如果采用如上所述的方法，如果白细胞计数与指标异常模型匹配，则首先开始接收外部终端生成并输出的监控信息，监控信息包括监控指标。监控指标可以是体温和/或心率。
启动第一设定周期，例如第一设定周期为72小时，在第一设定周期中的若干个等分监测点判断监控指标是否与指标异常模型匹配，即体温和/或心率是否异常。如果匹配，则标记对应的监测点为有效监测点。
在第一设定周期结束时，计算有效监测点与总监测点的比例，记为有效监测点比重。判断有效监测点的比重是否大于等于设定阈值。如果有效监测点比重大于等于设定阈值，则说明用户不仅白细胞计数异常，且在72小时内体温和/或心率也存在异常状态，身体状态没有明显好转，则调用照护模式对应的预警参数修正根据用户指令生成的预警模式，通过语音或者人机交互界面提醒用户及时复诊或者复查。而如果有效监测点比重小于设定阈值，则说明用户的体温和/或心率已基本正常，用户可以自行选择是否进行复诊或者复查。采用这种方法，可以在本地有效结合相对不容易获取的医疗指标（例如通过体检报告才能获得的指标）以及可以通过外部终端获得体征参数，通过高效的方法形成初步建议，辅助用户控制诊疗费用，同时不会给用户造成过重的心理负担。
作为另一种可选的方式，空调器控制方法还可以包括以下步骤。
如果健康指标与指标异常模型匹配，则开始接收外部终端生成并输出的监护信息，监护信息包括监控指标。
在第一设定周期中的若干个监测点判断监控指标是否与指标异常模型匹配。
如果匹配，则标记对应的检测点为有效监测点。
计算各有效监测点监控指标偏离标准指标的偏差。
在第一设定周期结束时，判断各有效监测点偏差是否递减。
如果各有效监测点偏差不满足递减趋势，则调用照护模式对应的预警参数修正根据用户指令生成的预警模式。
为了避免过多得损失空调效果，本发明所提供的空调器控制方法还包括以下步骤：
校验空调房间内用户是否包括目标用户。
如果包括目标用户，则调用照护模式对应的校正参数修正根据用户指令生成的运行模式
校验空调房间内用户是否包括目标用户可以采用图像校验、语音校验等方法。例如提前将健康信息与目标用户的图像或者目标用户的语音绑定，通过摄像头或者麦克风采集用户的图像或语音，判断是否是目标用户，且在空调房间内用户包括目标用户时，调用照护模式对应的校正参数修正根据用户指令生成的运行模式。
为创造温和的室内环境，可选的，校正参数为压缩机目标频率校正值，例如5Hz或10Hz。调用照护模式对应的校正参数修正根据用户指令生成的运行模式包括：调用压缩机目标频率校正值，控制压缩机目标运行频率为根据用户指令生成的第一目标运行频率与目标频率校正值之差。例如，压缩机目标频率校正值为5Hz，如果健康指标与指标异常模型匹配，根据用户指令生成的第一目标运行频率为90Hz，则控制压缩机目标运行频率为85Hz，以有效促进室内环境温和，防止高频运行室内过于干燥、温度过低或者过热。
可选的，校正参数还可以为压缩机运行频率的调节周期。调用照护模式对应的校正参数修正根据用户指令生成的运行模式包括：控制每隔一个调节周期，调节一次压缩机运行频率直至压缩机运行频率达到压缩机目标运行频率。例如，调节周期为现有的调节压缩机频率间隔时长的2倍，即空调器默认调节压缩机频率间隔时长为2秒，即每2秒提升1Hz。控制每隔一个调节周期，调节一次压缩机运行频率直至压缩机运行频率达到压缩机目标运行频率即为每4秒提升1Hz,避免空调房间温度快速降低引起血管收缩，导致血压波动引起头晕等症状。
另一种可选的方案，校正参数为室内风机目标转速校正值，例如100转/分钟或者200转/分钟。调用照护模式对应的校正参数修正根据用户指令生成的运行模式包括：调用室内风机目标转速校正值，控制室内风机目标转速为根据用户指令生成的第一目标转速与目标转速之差。例如，室内风机目标转速校正值为100转/分钟，如果健康指标与指标异常模型匹配，即控制根据用户指令生成的第一目标转速降低100转/分钟。
当然，校正参数也可以即包括压缩机目标频率校正值，也包括压缩机运行频率的调节周期和室内风机目标转速校正值，从而为孕产妇、儿童等身体较弱的用户提供更为温和的室内环境，避免室内温度波动诱发二次感染等等。
本发明的第二个方面提供一种空调器控制装置。空调器控制装置包括：设定模块，第一判断模块，第二判断模块，第一执行模块和第二执行模块等组成部分，以下注意进行介绍。
设定模块，其配置为预先设定并存储若干照护模式，照护模式包括指标异常模型。指标异常模型对应常见疾病或者亚健康状态，指标异常模型依据医学检查指标的临床意义建立,例如某一项或多项医学检查指标高于或低于正常值。基于指标异常模型，可以观察疾病的病历状态和进程并辅助对药物治疗方案做出判断。
第一判断模块，其配置为在待机或开机状态下，判断是否接收到用户主动输入的健康信息，健康信息包括健康指标。健康指标包括但不限于身高、体重、体脂、体温、血压、血氧饱和度、CT（电子计算机断层扫描）图像、MRI(磁共振成像)图像、B型超声检查参数、血常规检查参数、尿常规检测参数、心电图等，这些均为诊断疾病或鉴别亚健康状态的指标。用户可以基于家用医疗设备获得，或者在医疗机构进行检测。
第二判断模块，其配置为在待机或开机状态下，判断所述健康指标是否与所述照护模式对应的指标异常模型匹配。
第一执行模块，其配置为在所述健康指标与所述指标异常模型匹配时，调用照护模式对应的校正参数以修正根据用户指令生成的运行模式。普通的空调系统的作用是保持室内空气具有要求的温湿度，目标温度和湿度由用户指令生成，例如通过遥控器或者控制面板输入。普通的空调系统的控制目标是可以在尽量短的时间内使得室内环境达到所要求的温湿度。而校正参数则使得现有的控制算法被主动修正，从而利用空调器形成温和的室内环境、防止高频运行湿度过低、温度过低、温度过高、温度下降或上升幅度过快，避免诱发急性且危及生命的症状，或者诱发呼吸道疾病或导致呼吸道疾病加重。
第二执行模块，所述第二执行模块在所述健康指标与所述指标异常模型均不匹配时，调用照护模式对应的推送参数以修正根据用户指令生成的推送模式。
空调器控制装置还包括校验模块，检验模块配置为校验空调房间内的用户是否包括目标用户。第一执行模块配置为在校验模块校验空调房间内的用户包括目标用户时，调用照护模式对应的校正参数以修正根据用户指令生成的运行模式。校验空调房间内用户是否包括目标用户可以采用图像校验、语音校验等方法。例如提前将健康信息与目标用户的图像或者目标用户的语音绑定，通过摄像头或者麦克风采集用户的图像或语音，判断是否是目标用户，且在空调房间内用户包括目标用户时，调用照护模式对应的校正参数修正根据用户指令生成的运行模式。
更具体地说，第一执行模块包括：第一调用单元，其配置为调用压缩机目标频率校正值和/或室内风机目标转速校正值；以及第一驱动单元，其配置为控制压缩机目标运行频率为根据用户指令生成的第一目标运行频率与目标频率校正值之差，和/或配置为控制室内风机目标转速为根据用户指令生成的第一目标转速与目标转速校正值之差。
作为另一种可选方案，第一执行模块包括：第二调用单元，第二调用单元配置为调用压缩机运行频率的调节周期；和第二驱动单元，第二驱动单元配置为控制每个一个所述调节周期，调节一次压缩机运行频率直至压缩机运行频率达到压缩机目标运行频率。
本发明所提供的空调器控制装置，用户可以自主选择是否将包括健康指标的健康信息输入，并在用户输入后自动将健康指标与对应的指标异常模型比对，进一步在健康指标与指标异常模型匹配时，调用照护模式对应的校正参数修正根据用户指令生成的运行模型，或者在健康指标与指标异常模型不匹配时，调用照护模式对应的推送参数修正根据用户指令生成的推送模式，整个过程在本地或局域网内完成，形成针对目标用户的特有的数据库和分析结论，具有安全有效的优点。
本申请实施例还提供一种空调器，应用上述空调器控制方法。空调器控制方法的具体步骤参见上述实施例的详细描述和说明书附图的详细描绘。在此不再赘述，采用上述空调器控制方法的空调器可以实现同样的技术效果。
本申请实施例还提供一种计算机存储介质，其中，该计算机存储介质存储于电子数据交换的计算机程序，该计算机程序使得空调器执行如上方法实施例中记载的任一方法的部分或全部步骤。
在上述实施例中，对各个实施例的描述均各有侧重，某个实施例中没有详述的部分，可以参见其它实施例的相关描述。
在本申请所提供的几个实施例中，应该理解到，所揭露的装置，可通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如上述单元或模块的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口、装置或单元的间接耦合或通信连接，可以是电性或其它的形式。
上述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个物理空间，或者也可以分布到多个网络单元上，可以根据实际需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
以上实施例仅用以说明本发明的技术方案，而非对其进行限制；尽管参照前述实施例对本发明进行了详细的说明，对于本领域的普通技术人员来说，依然可以对前述实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或替换，并不使相应技术方案的本质脱离本发明所要求保护的技术方案的精神和范围。

Claims (10)

  1. 一种空调器控制方法，其特征在于，包括以下步骤：
    预先设定并存储若干照护模式，所述照护模式包括指标异常模型；
    待机或开机状态下，判断是否接收到用户主动输入的健康信息，所述健康信息包括健康指标；
    判断所述健康指标是否与所述照护模式对应的指标异常模型匹配；
    如果所述健康指标与所述指标异常模型匹配，则调用所述照护模式对应的校正参数修正根据用户指令生成的运行模式；
    如果所述健康指标与所述指标异常模型不匹配，则调用所述照护模式对应的推送参数修正根据用户指令生成的推送模式。
  2. 根据权利要求1所述的空调器控制方法，其特征在于，还包括以下步骤：
    校验空调房间内的用户是否包括目标用户；
    如果包括目标用户，则调用所述照护模式对应的校正参数修正根据用户指令生成的运行模式。
  3. 根据权利要求1或2所述的空调器控制方法，其特征在于，
    所述校正参数为压缩机目标频率校正值；
    调用所述照护模式对应的校正参数修正根据用户指令生成的运行模式包括：
    调用所述压缩机目标频率校正值；
    控制压缩机目标运行频率为根据用户指令生成的第一目标运行频率与所述目标频率校正值之差。
  4. 根据权利要求1或2所述的空调器控制方法，其特征在于，
    所述校正参数为压缩机运行频率的调节周期；
    调用所述照护模式对应的校正参数修正根据用户指令生成的运行模式包括：
    控制每隔一个所述调节周期，调节一次压缩机运行频率直至压缩机运行频率达到压缩机目标运行频率。
  5. 根据权利要求1或2所述的空调器控制方法，其特征在于，
    所述校正参数为室内风机目标转速校正值；
    调用所述照护模式对应的校正参数修正根据用户指令生成的运行模式包括：
    调用所述室内风机目标转速校正值；
    控制室内风机目标转速为根据用户指令生成的第一目标转速与所述目标转速校正值之差。
  6. 一种空调器控制装置，其特征在于，包括：
    设定模块，所述设定模块配置为预先设定并存储若干照护模式，所述照护模式包括指标异常模型；
    第一判断模块，所述第一判断模块配置为在待机或开机状态下，判断是否接收到用户主动输入的健康信息，所述健康信息包括健康指标；
    第二判断模块，所述第二判断模块配置为在待机或开机状态下，判断所述健康指标是否与所述照护模式对应的指标异常模型匹配；
    第一执行模块，所述第一执行模块在所述健康指标与所述指标异常模型匹配时，调用照护模式对应的校正参数以修正根据用户指令生成的运行模式；和
    第二执行模块，所述第二执行模块在所述健康指标与所述指标异常模型均不匹配时，调用照护模式对应的推送参数以修正根据用户指令生成的推送模式。
  7. 根据权利要求6所述的空调器控制装置，其特征在于，还包括：
    校验模块，所述检验模块配置为校验空调房间内的用户是否包括目标用户；
    所述第一执行模块配置为在所述校验模块校验空调房间内的用户包括目标用户时，调用照护模式对应的校正参数以修正根据用户指令生成的运行模式。
  8. 根据权利要求6或7所述的空调器控制装置，其特征在于，
    所述第一执行模块包括：
    第一调用单元，所述第一调用单元配置为调用压缩机目标频率校正值和/或室内风机目标转速校正值；和
    第一驱动单元，所述第一驱动单元配置为控制压缩机目标运行频率为根据用户指令生成的第一目标运行频率与所述目标频率校正值之差，和/或配置为控制室内风机目标转速为根据用户指令生成的第一目标转速与所述目标转速校正值之差。
  9. 根据权利要求6或7所述的空调器控制装置，其特征在于，
    所述第一执行模块包括：
    第二调用单元，所述第二调用单元配置为调用压缩机运行频率的调节周期；和
    第二驱动单元，所述第二驱动单元配置为控制每个一个所述调节周期，调节一次压缩机运行频率直至压缩机运行频率达到压缩机目标运行频率。
  10. 一种空调器，其特征在于，执行如权利要求1至5任一项所述的空调器控制方法。
PCT/CN2022/084376 2021-08-26 2022-03-31 空调器控制方法、控制装置和空调器 WO2023024517A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202110989091.6A CN113819598B (zh) 2021-08-26 2021-08-26 空调器控制方法、控制装置和空调器
CN202110989091.6 2021-08-26

Publications (1)

Publication Number Publication Date
WO2023024517A1 true WO2023024517A1 (zh) 2023-03-02

Family

ID=78913583

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2022/084376 WO2023024517A1 (zh) 2021-08-26 2022-03-31 空调器控制方法、控制装置和空调器

Country Status (2)

Country Link
CN (1) CN113819598B (zh)
WO (1) WO2023024517A1 (zh)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113819598B (zh) * 2021-08-26 2022-10-28 青岛海尔空调器有限总公司 空调器控制方法、控制装置和空调器

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090124926A1 (en) * 2005-12-05 2009-05-14 Masami Funakura Environment control device, environment control method, environment control program, and environment control system
CN102865644A (zh) * 2012-10-22 2013-01-09 四川虹微技术有限公司 空调自动调节工作模式的方法
WO2016124495A1 (en) * 2015-02-02 2016-08-11 Koninklijke Philips N.V. Smart air quality evaluating wearable device
EP3093569A1 (en) * 2015-05-11 2016-11-16 Xiaomi Inc. Method and device for turning on air conditioner
US20170068782A1 (en) * 2014-02-28 2017-03-09 Delos Living Llc Systems and articles for enhancing wellness associated with habitable environments
CN109099551A (zh) * 2018-07-20 2018-12-28 珠海格力电器股份有限公司 一种空调器的控制方法、装置、存储介质及空调器
JP2019002676A (ja) * 2017-06-13 2019-01-10 ミツビシ・エレクトリック・アールアンドディー・センター・ヨーロッパ・ビーヴィＭｉｔｓｕｂｉｓｈｉ Ｅｌｅｃｔｒｉｃ Ｒ＆Ｄ Ｃｅｎｔｒｅ Ｅｕｒｏｐｅ Ｂ．Ｖ． 可動式温度調節装置、可動式温度調節装置の運転方法、暖房及び／又は冷房装置、ならびに、暖房及び／又は冷房装置の温度調節方法
CN109458705A (zh) * 2018-11-02 2019-03-12 珠海格力电器股份有限公司 一种空调器的智能控制方法及其系统
CN109764487A (zh) * 2018-12-25 2019-05-17 国安瑞（北京）科技有限公司 一种环境调节系统的控制方法和装置
CN110736232A (zh) * 2019-10-29 2020-01-31 珠海格力电器股份有限公司 空调控制方法及装置
CN112797583A (zh) * 2021-01-05 2021-05-14 青岛海尔空调电子有限公司 空调器及其控制方法、存储介质、控制装置
CN112856771A (zh) * 2021-01-29 2021-05-28 青岛海尔空调器有限总公司 用于空调的控制方法及控制装置、空调
CN113819598A (zh) * 2021-08-26 2021-12-21 青岛海尔空调器有限总公司 空调器控制方法、控制装置和空调器

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002039596A (ja) * 2000-07-24 2002-02-06 Toyota Central Res & Dev Lab Inc 空調制御装置
JP2005237719A (ja) * 2004-02-27 2005-09-08 Daikin Ind Ltd 監視ユニットおよび監視システム
TW201102941A (en) * 2009-07-02 2011-01-16 Univ Nat Chiao Tung Caretaking device
JP5787858B2 (ja) * 2012-10-05 2015-09-30 三菱電機株式会社 空調制御システム、空調制御方法及びプログラム
CN105222283A (zh) * 2015-10-30 2016-01-06 广东美的制冷设备有限公司 一种基于医疗信息的空调控制方法和系统
WO2019167172A1 (ja) * 2018-02-28 2019-09-06 株式会社日立製作所 機器制御装置及び機器制御システム
CN112099375A (zh) * 2020-11-18 2020-12-18 北京健康有益科技有限公司 基于健康策略的智能家居控制方法、装置及系统
CN112932418A (zh) * 2021-01-28 2021-06-11 北京广义恒鑫科技有限公司 一种生命体征监测与位置定位多功能融合方法和系统

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090124926A1 (en) * 2005-12-05 2009-05-14 Masami Funakura Environment control device, environment control method, environment control program, and environment control system
CN102865644A (zh) * 2012-10-22 2013-01-09 四川虹微技术有限公司 空调自动调节工作模式的方法
US20170068782A1 (en) * 2014-02-28 2017-03-09 Delos Living Llc Systems and articles for enhancing wellness associated with habitable environments
WO2016124495A1 (en) * 2015-02-02 2016-08-11 Koninklijke Philips N.V. Smart air quality evaluating wearable device
EP3093569A1 (en) * 2015-05-11 2016-11-16 Xiaomi Inc. Method and device for turning on air conditioner
JP2019002676A (ja) * 2017-06-13 2019-01-10 ミツビシ・エレクトリック・アールアンドディー・センター・ヨーロッパ・ビーヴィＭｉｔｓｕｂｉｓｈｉ Ｅｌｅｃｔｒｉｃ Ｒ＆Ｄ Ｃｅｎｔｒｅ Ｅｕｒｏｐｅ Ｂ．Ｖ． 可動式温度調節装置、可動式温度調節装置の運転方法、暖房及び／又は冷房装置、ならびに、暖房及び／又は冷房装置の温度調節方法
CN109099551A (zh) * 2018-07-20 2018-12-28 珠海格力电器股份有限公司 一种空调器的控制方法、装置、存储介质及空调器
CN109458705A (zh) * 2018-11-02 2019-03-12 珠海格力电器股份有限公司 一种空调器的智能控制方法及其系统
CN109764487A (zh) * 2018-12-25 2019-05-17 国安瑞（北京）科技有限公司 一种环境调节系统的控制方法和装置
CN110736232A (zh) * 2019-10-29 2020-01-31 珠海格力电器股份有限公司 空调控制方法及装置
CN112797583A (zh) * 2021-01-05 2021-05-14 青岛海尔空调电子有限公司 空调器及其控制方法、存储介质、控制装置
CN112856771A (zh) * 2021-01-29 2021-05-28 青岛海尔空调器有限总公司 用于空调的控制方法及控制装置、空调
CN113819598A (zh) * 2021-08-26 2021-12-21 青岛海尔空调器有限总公司 空调器控制方法、控制装置和空调器

Also Published As

Publication number Publication date
CN113819598A (zh) 2021-12-21
CN113819598B (zh) 2022-10-28

Similar Documents

Publication Publication Date Title
US20200288983A1 (en) Respiratory core body temperature measurement systems and methods
US20050124866A1 (en) Healthcare processing device and display system
US11742062B1 (en) Mobile algorithm-based vascular health evaluation processes
WO2005050523A2 (en) A processing device and display system
WO2005050524A2 (en) A modular medical care system
US6963907B1 (en) Internet device operation for medical testing
CN202723828U (zh) 一种阻塞性睡眠呼吸暂停低通气综合征(osahs)患者初筛系统
WO2020082341A1 (zh) 医疗设备、用于医疗设备的多工作模式监护设置方法及装置
Aitken Expert critical care nurses’ use of pulmonary artery pressure monitoring
WO2019100584A1 (zh) 基于中医四诊仪的中医治未病管理系统及方法
US20140046153A1 (en) Monitoring volaemic condition in a human or animal subject
CN109087717A (zh) 一种基于大数据的智能医疗系统
WO2023024517A1 (zh) 空调器控制方法、控制装置和空调器
US12014806B2 (en) System for immediate personalized treatment of a patient in a medical emergency
Khan et al. Severe analysis of cardiac disease detection using the wearable device by artificial intelligence
CN105960198B (zh) 病患的智能医疗监测
CN111282195A (zh) 一种基于整体论指导的自行车训练运动系统
US20230023566A1 (en) System and method for providing a notification of a medical condition
US20120029319A1 (en) Polysomnography method with remote administration
WO2015130804A1 (en) Systems and methods for point of care guidance
Ratnakar et al. Smart Innovative Medical Devices Based on Artificial Intelligence
Al Ahmad et al. A new algorithm for online diseases diagnosis
US20120029305A1 (en) Polysomnography method with remote administration
WO2023198065A1 (zh) 一种对危机和非危机情况进行处理的生理数据收集、处理、呈现装置和方法
Nair et al. Recent Trends and Opportunities of Remote Multi-Parameter PMS using IoT

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 22859871

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE