WO2022247333A1 - 用于检测室内温度的方法, 装置和智能空调 - Google Patents
用于检测室内温度的方法, 装置和智能空调 Download PDFInfo
- Publication number
- WO2022247333A1 WO2022247333A1 PCT/CN2022/074020 CN2022074020W WO2022247333A1 WO 2022247333 A1 WO2022247333 A1 WO 2022247333A1 CN 2022074020 W CN2022074020 W CN 2022074020W WO 2022247333 A1 WO2022247333 A1 WO 2022247333A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- temperature
- detection
- temperature sensor
- detected
- temperatures
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 57
- 238000001514 detection method Methods 0.000 claims description 344
- 230000002776 aggregation Effects 0.000 claims description 18
- 238000004220 aggregation Methods 0.000 claims description 18
- 230000002596 correlated effect Effects 0.000 claims description 6
- 238000005192 partition Methods 0.000 claims description 6
- 238000006467 substitution reaction Methods 0.000 claims 2
- 238000001816 cooling Methods 0.000 description 14
- 238000010586 diagram Methods 0.000 description 14
- 238000010438 heat treatment Methods 0.000 description 14
- 230000008569 process Effects 0.000 description 14
- 230000000694 effects Effects 0.000 description 11
- 230000006870 function Effects 0.000 description 8
- 238000004891 communication Methods 0.000 description 6
- 238000004590 computer program Methods 0.000 description 5
- 230000000875 corresponding effect Effects 0.000 description 5
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000013500 data storage Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 238000004378 air conditioning Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007257 malfunction Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
Images
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
- F24F11/89—Arrangement or mounting of control or safety devices
-
- 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
Definitions
- the present application relates to the technical field of intelligent air conditioners, for example, to a method and device for detecting indoor temperature, and an intelligent air conditioner.
- the air conditioner detects the indoor temperature through a temperature sensor, and then performs heating or cooling according to the indoor temperature and the set temperature.
- the temperature sensor may malfunction, causing the detected temperature to be inaccurate or even impossible to detect.
- a temperature range is usually set, and if the temperature detected by the temperature sensor exceeds the temperature range, it is determined that the temperature sensor is faulty.
- the temperature range is the temperature that the temperature sensor "should" detect If the temperature sensor fails, a temperature can be selected within the above temperature range to replace the temperature currently detected by the temperature sensor, so as to temporarily cool or heat the air conditioner and provide users with a better experience.
- a reference temperature is determined through the multiple indoor temperatures detected by the multiple temperature sensors.
- the reference temperature is the temperature that the temperature sensor "should" detect. If a temperature sensor If the difference between the detected temperature and the reference temperature is too large, it can be determined that the temperature sensor is faulty. Further, the reference temperature can be temporarily replaced by the temperature detected by the faulty temperature sensor to continue cooling or heating the air conditioner.
- the reference temperature is determined by the indoor temperature detected by multiple temperature sensors, which is applicable to the scenario of one temperature sensor; if two temperature sensors fail, the second one fails
- the temperature detected by the temperature sensor is used to calculate the reference temperature to replace the temperature detected by the first faulty temperature sensor.
- the temperature detected by the first faulty temperature sensor is used to calculate the reference temperature to Substitute the temperature detected by the second faulty temperature sensor; or, calculate a reference temperature through the normal working temperature sensor, and use this reference temperature to replace the temperature detected by the first faulty temperature sensor and the temperature of the second faulty The temperature detected by the sensor.
- the reference temperature obtained by the above two methods is not accurate enough to replace the temperature detected by the failed temperature sensor more accurately, thus making the air conditioner under temporary control unable to cool well or heating, reducing the user experience.
- Embodiments of the present disclosure provide a method and device for detecting indoor temperature, and an intelligent air conditioner, so as to solve the technical problem that the air conditioner cannot cool or heat well when two temperature sensors fail.
- methods for detecting temperature include:
- the temperature sensor array When the indoor temperature is detected by the temperature sensor array arranged indoors, if the adjacent first temperature sensor and the second temperature sensor in the temperature sensor array fail, then a plurality of adjacent first temperature sensors are obtained The first detection temperature of the third temperature sensor, and obtaining the second detection temperature of a plurality of fourth temperature sensors adjacent to the second temperature sensor; wherein, the temperature sensor array includes a plurality of temperature sensors, the Multiple temperature sensors are arranged vertically and horizontally;
- the average value of multiple first weights is greater than the average value of multiple second weights, then determine the first substitute detection temperature of the first temperature sensor according to multiple first detection temperatures, and then The first alternative detection temperature and a plurality of the second detection temperatures determine a second alternative detection temperature of the second temperature sensor;
- the average value of multiple first weights is smaller than the average value of multiple second weights, then determine the second substitute detection temperature of the second temperature sensor according to multiple second detection temperatures, and then The second alternative detection temperature and a plurality of the first detection temperatures determine a first alternative detection temperature of the first temperature sensor;
- the indoor temperature is determined according to the first surrogate detected temperature, the second substituted detected temperature, and the detected temperature of a temperature sensor that works normally in the temperature sensor array.
- obtaining the first weight of each of the first detected temperatures, and the second weight of each of the second detected temperatures includes:
- the first preset temperature zone determine the first temperature zone where the detection temperature of each of the normally operating temperature sensors is located;
- the first weight of each of the first detected temperatures is determined, and, according to the weight of the first temperature zone where each of the second detected temperatures is located weight, determining a second weight for each of the second detected temperatures.
- determining a first substitute detection temperature of the first temperature sensor according to a plurality of first detection temperatures includes: determining a first average value of a plurality of first detection temperatures as the first substitute detection temperature temperature.
- determining a first alternative detection temperature of the first temperature sensor according to a plurality of first detection temperatures includes: obtaining a first average value of a plurality of first detection temperatures and a first preset coefficient A first product or a first sum, determining the first product or the first sum as the first surrogate detected temperature.
- determining the second alternative detection temperature of the second temperature sensor according to the first alternative detection temperature and the plurality of second detection temperatures includes: determining the first alternative detection temperature and the plurality of the second detection temperatures The second average value of the second detection temperature is the second alternative detection temperature.
- determining the second alternative detection temperature of the second temperature sensor according to the first alternative detection temperature and the plurality of second detection temperatures includes: obtaining the first alternative detection temperature and the plurality of the second detection temperatures A second product or a second sum of a second average value of the second detected temperature and a second preset coefficient is determined as the second substitute detected temperature.
- determining the second alternative detection temperature of the second temperature sensor according to the plurality of second detection temperatures includes: determining a third average value of the plurality of second detection temperatures as the second alternative detection temperature temperature.
- determining the second alternative detection temperature of the second temperature sensor according to the plurality of second detection temperatures includes: obtaining a third average value of the plurality of second detection temperatures and a third preset coefficient A third product or a third sum, determining the third product or the third sum as the second alternative detected temperature.
- determining a first substitute detection temperature of the first temperature sensor according to the second substitute detection temperature and a plurality of first detection temperatures includes: determining the substitute detection temperature and a plurality of the first detection temperatures The fourth average value of detected temperatures is the first alternative detected temperature.
- determining the first alternative detection temperature of the first temperature sensor according to the second alternative detection temperature and the plurality of first detection temperatures includes: obtaining the second alternative detection temperature and the plurality of the first detection temperatures A fourth product or a fourth sum of a fourth average value of the first detected temperature and a fourth preset coefficient is determined to be the first alternative detected temperature.
- determining the indoor temperature according to the first surrogate detected temperature, the second substituted detected temperature, and the detected temperature of a normally working temperature sensor in the temperature sensor array includes:
- the second preset temperature zone determine the second temperature zone in which the first substitute detection temperature, the second substitute detection temperature, and the detection temperature of the normally operating temperature sensor are located;
- the first substitute detection temperature, the second substitute detection temperature and the weight of the second temperature zone where the detection temperature of the normally working temperature sensor is located are determined. Detected temperature and the weight of the detected temperature of the normal working temperature sensor;
- the weight of the first substitute detection temperature, the second substitute detection temperature and the detection temperature of the temperature sensor in normal operation determine the first substitute detection temperature, the second substitute detection temperature and the normal The weighted average of the detected temperatures of the working temperature sensors;
- the indoor temperature is determined according to the weighted average.
- determining the indoor temperature according to the weighted average includes: determining that the weighted average is the indoor temperature.
- determining the indoor temperature according to the weighted average includes: obtaining a fifth product or a fifth sum of the weighted average and a fifth preset coefficient, and determining the fifth product or fifth sum and is the room temperature.
- the device for detecting indoor temperature includes a processor and a memory storing program instructions, and the processor is configured to execute the method for detecting indoor temperature provided by the foregoing embodiments when executing the program instructions. Methods.
- the smart air conditioner includes the device for detecting indoor temperature provided in the foregoing embodiments.
- the method, device, and smart air conditioner for detecting indoor temperature provided by the embodiments of the present disclosure can achieve the following technical effects:
- the temperature of the space is more representative.
- the average value of the first weights of multiple first detection temperatures is smaller than the average value of the second weights of multiple second detection temperatures, it means that relative to the first detection temperature
- the degree of representativeness of the temperature to the first alternative detection temperature of the first temperature sensor, and the higher degree of representativeness of the second detection temperature to the second alternative detection temperature of the second temperature sensor so that the more accurate second alternative detection temperature can be determined , and then determine the relatively accurate first alternative detection temperature of the first temperature sensor; correspondingly, if the average value of the first weights of the multiple first detection temperatures is greater than the average value of the second weights of the multiple second detection temperatures, The more accurate the first alternative detection temperature can be determined, the more accurate the second alternative detection temperature of the second temperature sensor can be determined. Finally, a relatively accurate indoor temperature can be
- FIG. 1 is a schematic diagram of an implementation environment for detecting indoor temperature provided by an embodiment of the present disclosure
- Fig. 2 is a schematic diagram of a method for detecting indoor temperature provided by an embodiment of the present disclosure
- FIG. 3 is a partial schematic diagram of a temperature sensor array provided by an embodiment of the present disclosure.
- Fig. 4 is a schematic diagram of a process for determining indoor temperature provided by an embodiment of the present disclosure
- Fig. 5 is a schematic diagram of a device for detecting indoor temperature provided by an embodiment of the present disclosure.
- A/B means: A or B.
- a and/or B means: A or B, or, A and B, these three relationships.
- Fig. 1 is a schematic diagram of an implementation environment for detecting indoor temperature provided by an embodiment of the present disclosure.
- the implementation environment is inside a room.
- the temperature sensor array includes a plurality of temperature sensors 11 arranged vertically and horizontally.
- the temperature sensor array can cover one side wall 12 of the room, or can cover the room. Part of the wall (not shown in Figure 1), the larger the distance between adjacent temperature sensors 11, the lower the accuracy of the temperature sensor array detecting the indoor temperature distribution, but the easier to arrange and apply; adjacent temperature sensors The smaller the distance between 11, the higher the accuracy of the temperature sensor array in detecting the indoor temperature distribution, but the more difficult it is to arrange the application.
- Those skilled in the art can appropriately adjust the adjacent temperature sensors according to the requirements of accuracy requirements, layout and difficulty of use. the distance between.
- the temperature detected by each temperature sensor 11 can be processed in the temperature sensor array, and the temperature detected by each temperature sensor 11 can be transmitted to the intelligent air conditioner.
- the temperature detected by the sensor 11 is processed, and the temperature detected by each temperature sensor 11 can also be transmitted to the family cloud platform, and the temperature detected by each temperature sensor 11 is processed by the family cloud platform to finally obtain an indoor temperature, or, Finally, the indoor temperature distribution map is obtained, and then the intelligent air conditioner installed indoors is controlled according to the indoor temperature, or the indoor temperature distribution map.
- the smart air conditioner can be installed in the area A1, and can also be installed in the area A2.
- Fig. 2 is a schematic diagram of a method for detecting indoor temperature provided by an embodiment of the present disclosure.
- the method for detecting indoor temperature may be performed by a temperature sensor array, may be performed by a smart air conditioner or a control terminal of a smart home system, may also be performed by a home cloud platform, and may also be performed by a smart air conditioner.
- the methods for detecting the indoor temperature include:
- the temperature sensor array includes a plurality of temperature sensors, and the plurality of temperature sensors are arranged vertically and horizontally.
- the third temperature sensor and the fourth temperature sensor in the embodiment of the present disclosure are temperature sensors that can work normally.
- the first temperature sensor is at the non-edge of the temperature sensor array, and then 7 temperature sensors that work normally are adjacent to the first temperature sensor, and the distance between the 3 temperature sensors and the first temperature sensor is A distance, the distance between the four temperature sensors and the first temperature sensor is a second distance, and the first distance is smaller than the second distance.
- the first temperature sensor is at the edge of the temperature sensor array and not at the corner, then there are 5 temperature sensors adjacent to the first temperature sensor, and the distance between the 3 temperature sensors and the first temperature sensor is A distance, the distance between the other two temperature sensors and the first temperature sensor is a second distance, wherein the first distance is smaller than the second distance.
- the first temperature sensor is at the corner of the temperature sensor array, and there are three temperature sensors adjacent to the first temperature sensor, wherein the distance between the two temperature sensors and the first temperature sensor is the first distance, The distance between the other one temperature sensor and the first temperature sensor is a second distance, wherein the first distance is smaller than the second distance.
- the first detected temperatures of five third temperature sensors are obtained; or, the first detected temperatures of two third temperature sensors at a first distance from the first temperature sensor are obtained.
- the second temperature sensor is located at the non-edge of the temperature sensor array, and 7 normal working temperature sensors are adjacent to the second temperature sensor, wherein the distance between the 3 temperature sensors and the second temperature sensor is the first The distance between the four temperature sensors and the second temperature sensor is the second distance, and the first distance is smaller than the second distance.
- the second temperature sensor is at the edge of the temperature sensor array and not at the corner, then there are 5 temperature sensors adjacent to the second temperature sensor, and the distance between the 3 temperature sensors and the second temperature sensor is A distance, the distance between the other two temperature sensors and the second temperature sensor is a second distance, wherein the first distance is smaller than the second distance.
- the second temperature sensor when the second temperature sensor is at the corner of the temperature sensor array, there are three temperature sensors adjacent to the second temperature sensor, wherein the distance between the two temperature sensors and the second temperature sensor is the first distance, The distance between the other one temperature sensor and the second temperature sensor is a second distance, wherein the first distance is smaller than the second distance.
- the second detected temperatures of five fourth temperature sensors are obtained; or, the second detected temperatures of two fourth temperature sensors at a first distance from the second temperature sensors are obtained.
- the first detection temperature of a plurality of third temperature sensors that are normally operating at a first distance from the first temperature sensor is obtained, then when the second detection temperature is obtained When obtaining the second detection temperature of a plurality of fourth temperature sensors with the distance from the second temperature sensor being the first distance; if obtaining the second detection temperature, obtaining the distance from the first temperature sensor within the second If the first detection temperature of a plurality of third temperature sensors working normally within the distance is obtained, when the second detection temperature is obtained, a plurality of fourth temperature sensors working normally within the second distance from the second temperature sensor are obtained The second detection temperature.
- the first weight is positively correlated with the aggregation degree of the first detection temperature among the detection temperatures of all temperature sensors
- the second weight is positively correlated with the aggregation degree of the second detection temperature among the detection temperatures of all temperature sensors.
- All the temperature sensors here refer to all the temperature sensors in the temperature sensor array.
- the aggregation degree of the first detection temperature can be represented by the first number of detection temperatures whose difference with the first detection temperature is within the first set range, and the larger the first number, it can represent the aggregation degree of the first detection temperature
- the first setting range here can be [-1°C, 1°C], [-2°C, 2°C] or [ -3°C, 3°C] and so on.
- the degree of aggregation of the second detected temperature can be represented by the second number of detected temperatures whose difference with the second detected temperature is within the second set range, and the larger the second number, the more the degree of aggregation of the second detected temperature can be represented.
- the aggregation degree of the first detection temperature here can be represented by the third number of detection temperatures in the temperature range where the first detection temperature is located.
- the larger the third number the higher the aggregation degree of the first detection temperature.
- the third number The smaller the value, the lower the degree of aggregation at the first detected temperature.
- the temperature interval where the first detection temperature is located is [18°C, 20°C)
- there are 3 normally operating temperature sensors whose detection temperatures are within [18°C, 20°C) then the third quantity for 3.
- the aggregation degree of the second detection temperature can be represented by the fourth number of detection temperatures in the temperature interval where the second detection temperature is located, the larger the fourth number, the higher the aggregation degree of the second detection temperature, and the higher the fourth number is. Smaller means that the degree of aggregation at the second detection temperature is lower.
- the temperature interval where the second detection temperature is located is [20°C, 22°C)
- there are 4 normally operating temperature sensors whose detection temperatures are within [20°C, 22°C) then the fourth quantity for 4.
- the first weight of the first detected temperature is represented by the quantity (the third quantity) of the detected temperature in the temperature interval where the first detected temperature is located, and the quantity (the fourth quantity) of the detected temperature is used in the temperature interval where the second detected temperature is located
- obtaining the first weight of each first detection temperature and the second weight of each second detection temperature includes: obtaining each normal working temperature sensor array The detection temperature of the temperature sensor; determine the first temperature division where the detection temperature of each normal working temperature sensor is located in the first preset temperature division; obtain the quantity of the detection temperature of the normal working temperature sensor in each first temperature division ; Determine the weight of each first temperature partition according to the number of detected temperatures of the temperature sensor in normal operation; determine the first weight of each first detected temperature according to the weight of the first temperature partition where each first detected temperature is located, And, according to the weight of the first temperature zone where each second detected temperature is located, the second weight of each second detected temperature is determined.
- the normal working temperature sensor includes the third temperature sensor and the fourth temperature sensor, and the detection temperature of the normal working temperature sensor includes the first detection temperature of the third temperature sensor and the second detection temperature of the fourth temperature sensor.
- the first preset temperature zone is a pre-divided temperature zone, for example, the first preset temperature zone may include: [14°C, 16°C), [16°C, 18°C), [18°C, 20°C), [20°C °C, 22 °C), [22 °C, 24 °C), [24 °C, 26 °C) and [26 °C, 28 °C), etc., or, every 2 °C temperature span is a temperature to distinguish other division methods, or, each A temperature span of 1°C is a temperature zone, or every temperature span of 3°C, 4°C or 5°C is a temperature zone.
- the first preset temperature zone in this embodiment is only an example to illustrate the meaning of the temperature zone, and does not constitute a specific limitation on the preset temperature. Those skilled in the art can determine a suitable first preset temperature zone according to actual needs.
- the detection temperature of a normal working temperature sensor is 18°C
- the first temperature division where the detection temperature 18°C is located is [18°C, 20°C)
- the detection temperature 18°C makes the first temperature division [18 °C, 20 °C) the number of detected temperatures increases by 1.
- the more the number of temperatures detected by the temperature sensors that work normally the greater the weight of the first temperature zone.
- the corresponding relationship between the number of detected temperatures of the temperature sensors that work normally in the first temperature zone and the weight of the first temperature zone can be pre-stored in the database.
- the database can be queried
- the weight of the first temperature zone can be obtained by the number of detected temperatures of the temperature sensors working normally in the first temperature zone.
- the number of detected temperatures of temperature sensors that work normally in one first temperature zone may also be used as the weight of the one first temperature zone.
- the indoor temperature sensor array detects is a temperature in a plane, and the indoor temperature is a temperature in a three-dimensional space.
- the temperature detected by the sensor array is essentially the temperature presented by the cross-section of the plane where the sensor array is located after the indoor temperature is distributed according to the distribution law of the temperature in space.
- the distribution law in the indoor space can be summarized as follows: the farther away from the air conditioner, the higher the temperature; the farther away from the air conditioner, the greater the distance between the two isotherms.
- the greater the number of detected temperatures of the temperature sensors in a specific temperature range it may indicate that the temperature of more spaces in the indoor space is in the specific temperature range.
- the greater the weight of the specific temperature range the larger the volume of the indoor space whose temperature is in the specific temperature range; the smaller the weight of the specific temperature range, the larger the volume of the indoor space with the temperature in the specific temperature range smaller.
- the greater the weight of the specific temperature range the stronger the representativeness of the temperature in the specific temperature range to the temperature of the indoor space, and the smaller the weight of the specific temperature range, the stronger the representativeness of the temperature in the specific temperature range to the temperature of the indoor space. less representative.
- the specific temperature range here refers to any one of the aforementioned first preset temperature ranges.
- the weight of the first temperature interval where the first detection temperature is located can be determined as the first weight of the first detection temperature; the weight of the first temperature interval where the second detection temperature is located can be determined as the second weight of the second detection temperature .
- the first detection temperature is 18°C
- the first temperature interval is [18°C, 20°C)
- the weight of the first temperature interval [18°C, 20°C) is determined as the first weight
- the second detection temperature is 20°C
- the first temperature interval is [20°C, 22°C)
- the weight of the first temperature interval [20°C, 22°C) is determined as the second weight.
- the first weight of the first detected temperature and the second weight of the second detected temperature can be obtained, and the larger the first weight here, the stronger the representativeness of the first detected temperature to the indoor temperature , the greater the second weight here, the stronger the representativeness of the second detected temperature to the indoor temperature.
- the size relationship is equivalent to comparing the size relationship between the sum of multiple first weights and the sum of multiple second weights. It can be seen that in this case, the average value of multiple first weights will be compared with multiple second weights.
- the solution of the size relationship of the average value of weights is replaced by a solution of comparing the size relationship between the sum of multiple first weights and the sum of multiple second weights, which belongs to conventional replacement.
- the scheme of comparing the magnitude relationship between the sum of multiple first weights and the sum of multiple second weights also falls within the scope covered by the embodiments of the present disclosure.
- determining the first alternative detection temperature of the first temperature sensor according to the plurality of first detection temperatures includes: determining a first average value of the plurality of first detection temperatures as the first alternative detection temperature.
- determining the first alternative detection temperature of the first temperature sensor according to the plurality of first detection temperatures may include: obtaining a first product or a first sum of a first average value of the plurality of first detection temperatures and a first preset coefficient and, determine the first product or the first sum as the first alternative detected temperature.
- the first preset coefficient can be less than 1, and the first product of the first average value and the first preset coefficient can be obtained to determine the first product is the first alternative detection temperature; or, the first preset coefficient may be less than zero, a first sum of the first average value and the first preset coefficient is obtained, and the first sum is determined as the first alternative detection temperature. This can improve the heating effect of the air conditioner and shorten the time for the indoor temperature to reach the set temperature.
- the first preset coefficient can be greater than 1, the first product of the first average value and the first preset coefficient is obtained, and the first product is determined as the first alternative detection temperature; or, the first preset coefficient may be greater than zero, obtain a first sum of the first average value and the first preset coefficient, and determine the first sum as the first alternative detection temperature. This can improve the cooling effect of the air conditioner and shorten the time for the indoor temperature to reach the set temperature.
- determining the second alternative detection temperature of the second temperature sensor according to the first alternative detection temperature and the plurality of second detection temperatures includes: determining the first alternative detection temperature and the second average value of the plurality of second detection temperatures as Second alternative detection temperature.
- determining the second alternative detection temperature of the second temperature sensor according to the first alternative detection temperature and a plurality of second detection temperatures may include: obtaining the first alternative detection temperature and a second average value and the second average value of the plurality of second detection temperatures The second product or the second sum of the two preset coefficients is used to determine the second product or the second sum as the second alternative detection temperature.
- the second preset coefficient can be less than 1, obtain the second product of the second average value and the second preset coefficient, and determine the second product is the second alternative detection temperature; or, the second preset coefficient may be less than zero, obtain a second sum of the second average value and the second preset coefficient, and determine the second sum as the second alternative detection temperature. This can improve the heating effect of the air conditioner and shorten the time for the indoor temperature to reach the set temperature.
- the second preset coefficient can be greater than 1, obtain the second product of the second average value and the second preset coefficient, and determine the second product as the second alternative detection temperature; or, the second preset coefficient may be greater than zero, obtain a second sum of the second average value and the second preset coefficient, and determine the second sum as the second alternative detection temperature. This can improve the cooling effect of the air conditioner and shorten the time for the indoor temperature to reach the set temperature.
- a first detected temperature determines a first alternative detected temperature of the first temperature sensor.
- determining the second alternative detection temperature of the second temperature sensor according to the plurality of second detection temperatures includes: determining a third average value of the plurality of second detection temperatures as the second alternative detection temperature.
- determining the second alternative detection temperature of the second temperature sensor according to the plurality of second detection temperatures may include: obtaining a third product or a third sum of a third average value of the plurality of second detection temperatures and a third preset coefficient, A third product or third sum is determined as the second alternative detected temperature.
- the third preset coefficient can be less than 1, and the third product of the third average value and the third preset coefficient can be obtained to determine the third product is the second alternative detection temperature; or, the third preset coefficient may be less than zero, a third sum of the third average value and the third preset coefficient is obtained, and the third sum is determined as the second alternative detection temperature. This can improve the heating effect of the air conditioner and shorten the time for the indoor temperature to reach the set temperature.
- the third preset coefficient can be greater than 1, obtain the third product of the third average value and the third preset coefficient, and determine the third product as the second alternative detection temperature; or, the third preset coefficient may be greater than zero, obtain a third sum of the third average value and the third preset coefficient, and determine the third sum as the second alternative detection temperature. This can improve the cooling effect of the air conditioner and shorten the time for the indoor temperature to reach the set temperature.
- determining the first alternative detection temperature of the first temperature sensor according to the second alternative detection temperature and the plurality of first detection temperatures includes: determining the alternative detection temperature and a fourth average value of the plurality of first detection temperatures as the first Alternative detection temperature.
- determining the first alternative detection temperature of the first temperature sensor according to the second alternative detection temperature and the plurality of first detection temperatures may include: obtaining the second alternative detection temperature and the fourth average value and the first detection temperature of the plurality of first detection temperatures The fourth product or the fourth sum of the four preset coefficients is determined as the first alternative detection temperature.
- the fourth preset coefficient can be less than 1, obtain the fourth product of the fourth average value and the fourth preset coefficient, and determine the fourth product is the first alternative detection temperature; or, the fourth preset coefficient may be less than zero, obtain a fourth sum of the fourth average value and the fourth preset coefficient, and determine the fourth sum as the first alternative detection temperature. This can improve the heating effect of the air conditioner and shorten the time for the indoor temperature to reach the set temperature.
- the fourth preset coefficient can be greater than 1, obtain the fourth product of the fourth average value and the fourth preset coefficient, and determine the fourth product as the first alternative detection temperature; or, the fourth preset coefficient may be greater than zero, obtain a fourth sum of the fourth average value and the fourth preset coefficient, and determine the fourth sum as the first alternative detection temperature. This can improve the cooling effect of the air conditioner and shorten the time for the indoor temperature to reach the set temperature.
- the average value of the first alternative detection temperature, the second alternative detection temperature, and the detection temperatures of the temperature sensors that work normally in the temperature sensor array is the indoor temperature.
- the temperature of the space is more representative.
- the average value of the first weights of multiple first detection temperatures is smaller than the average value of the second weights of multiple second detection temperatures, it means that relative to the first detection temperature
- the degree of representativeness of the temperature to the first alternative detection temperature of the first temperature sensor, and the higher degree of representativeness of the second detection temperature to the second alternative detection temperature of the second temperature sensor so that the more accurate second alternative detection temperature can be determined , and then determine the relatively accurate first alternative detection temperature of the first temperature sensor; correspondingly, if the average value of the first weights of the multiple first detection temperatures is greater than the average value of the second weights of the multiple second detection temperatures, The more accurate the first alternative detection temperature can be determined, the more accurate the second alternative detection temperature of the second temperature sensor can be determined. Finally, a relatively accurate indoor temperature can be
- Fig. 3 is a partial schematic diagram of a temperature sensor array provided by an embodiment of the present disclosure, to illustrate the positional relationship of the first temperature sensor, the second temperature sensor, the third temperature sensor and the fourth temperature sensor.
- the first temperature sensor is TE5, and the second temperature sensor is TE8, and the multiple third temperature sensors that are adjacent to the first temperature sensor TE5 are: TE2, TE4, and TE6 respectively, wherein, The distance between the third temperature sensor TE2, TE4 and TE6 and the first temperature sensor TE5 is the first distance; the multiple fourth temperature sensors adjacent to the second temperature sensor TE8 are respectively: TE7, TE9 and TE11, wherein , the distance between the fourth temperature sensor TE7, TE9 and TE11 and the second temperature sensor TE8 is the first distance.
- a plurality of third temperature sensors that work normally adjacent to the first temperature sensor TE5 are respectively: TE1, TE2, TE3, TE4 and TE6, wherein the third temperature sensors TE2, TE4 and TE6 are the same as the first temperature sensor TE5
- the distance is the first distance
- the distance between the third temperature sensor TE1 and TE3 and the first temperature sensor TE5 is the second distance
- the multiple fourth temperature sensors that are adjacent to the second temperature sensor TE8 are: TE7, TE9, TE10, TE11 and TE12, wherein the distance between the fourth temperature sensor TE7, TE9 and TE11 and the second temperature sensor TE8 is the first distance
- the distance between the fourth temperature sensor TE10 and TE12 and the second temperature sensor TE8 is the second distance.
- a plurality of third temperature sensors that are normally working adjacent to the first temperature sensor TE5 are respectively: TE1, TE2, TE3, TE4, TE6, TE7 and TE9, wherein the third temperature sensors TE2, TE4 and TE6 are connected to the first temperature sensor
- the distance of a temperature sensor TE5 is the first distance
- the distance between the third temperature sensor TE1, TE3, TE7 and TE9 and the first temperature sensor TE5 is the second distance
- a plurality of normal working adjacent to the second temperature sensor TE8 The four temperature sensors are respectively: TE4, TE6, TE7, TE9, TE10, TE11 and TE12, wherein the distance between the fourth temperature sensor TE7, TE9 and TE11 and the second temperature sensor TE8 is the first distance, and the fourth temperature sensor TE4, The distance between TE6, TE10 and TE12 and the second temperature sensor TE8 is the second distance.
- the first temperature sensor or the second temperature sensor is at the edge of the temperature sensor array and not at the corner, or at the corner of the temperature sensor array, those skilled in the art can adaptively determine the third temperature sensor according to the examples provided in the foregoing embodiments. and a fourth temperature sensor.
- the detection temperature (including the first substitute detection temperature, the second substitute detection temperature and the normal The average value of the detected temperature of the working temperature sensor) determines the scheme of the indoor temperature. Further, in order to determine a more accurate indoor temperature, another scheme can also be used to determine the indoor temperature.
- Fig. 4 is a schematic diagram of a process for determining an indoor temperature provided by an embodiment of the present disclosure. As shown in Figure 4, according to the detection temperature of the first alternative detection temperature, the second alternative detection temperature and the temperature sensor normally working in the temperature sensor array, determine the indoor temperature, including:
- the second preset temperature zone is a pre-divided temperature zone, for example, the second preset temperature zone may include: [14°C, 16°C), [16°C, 18°C), [18°C, 20°C), [20°C °C, 22 °C), [22 °C, 24 °C), [24 °C, 26 °C) and [26 °C, 28 °C), etc., or, every 2 °C temperature span is a temperature to distinguish other division methods, or, each A temperature span of 1°C is a temperature zone, or every temperature span of 3°C, 4°C or 5°C is a temperature zone.
- the second preset temperature zone in this embodiment is only an example to illustrate the meaning of the temperature zone, and does not constitute a specific limitation on the preset temperature. Those skilled in the art can determine a suitable second preset temperature zone according to actual needs.
- the second preset temperature zone here may be the same as or different from the first preset temperature zone.
- the detection temperature (or the first alternative detection temperature, or the second alternative detection temperature) of a temperature sensor is 18°C
- the detection temperature (or the first alternative detection temperature, or the second alternative detection temperature) is 18°C.
- the second temperature zone is [18°C, 20°C).
- the detection temperature (or the first alternative detection temperature, or the second alternative detection temperature) of 18°C increases the total number of detection temperatures of the second temperature zone [18°C, 20°C) by one.
- S403. Determine the weight of each second temperature zone according to the total number of the first substitute detection temperature, the second substitute detection temperature, and the detection temperatures of the temperature sensors that work normally in the second temperature zone.
- the corresponding relationship between the total number of detected temperatures of the first alternative detection temperature, the second alternative detection temperature, and the temperature sensors in normal operation and the weight of the second temperature division in the second temperature division can be pre-stored in the database.
- the weight of the second temperature partition the total quantity of the detection temperature of the first alternative detection temperature, the second alternative detection temperature and the normal working temperature sensor in the second temperature division can be obtained by querying the database, and the second temperature can be obtained The weight of the partition.
- the total number of the first substitute detection temperature, the second substitute detection temperature and the detection temperatures of the temperature sensors in normal operation in a second temperature zone may be used as the weight of the second temperature zone.
- the weight in the second temperature division can represent the representative degree of the second temperature division to the indoor temperature: the greater the weight of the second temperature division, the stronger the representative degree of the second temperature division to the indoor temperature; The smaller the , the weaker the second temperature zone is to represent the indoor temperature.
- the weight of the second temperature subregion where the first substitute detection temperature is located can be determined as the weight of the first substitute detection temperature; the weight of the second temperature subregion where the second substitute detection temperature is located can be determined as the second substitute detection temperature
- the weight of the second temperature zone where the temperature detected by the temperature sensor in normal operation is determined as the weight of the temperature detected by the temperature sensor in normal operation.
- the weights of the first alternative detection temperature, the second alternative detection temperature and the detection temperature of the normal operating temperature sensor can represent the impact of the first alternative detection temperature, the second alternative detection temperature and the detection temperature of the normal operating temperature sensor on the indoor temperature.
- Representative degree of temperature The greater the weight of the first alternative detection temperature, the stronger the representativeness of the first alternative detection temperature to the indoor temperature, and the smaller the weight of the first alternative detection temperature, it means the representativeness of the first alternative detection temperature to the indoor temperature.
- S405. Determine the weighted average of the first alternative detection temperature, the second alternative detection temperature, and the detection temperature of the normally operating temperature sensor according to the weights of the first alternative detection temperature, the second alternative detection temperature, and the detection temperature of the normally operating temperature sensor value.
- a more accurate indoor temperature can be determined by adopting the above technical solution.
- determining the indoor temperature according to the weighted average includes: determining the weighted average as the indoor temperature.
- determining the indoor temperature according to the weighted average may include: obtaining a fifth product or a fifth sum of the weighted average and a fifth preset coefficient, and determining the fifth product or the fifth sum as the indoor temperature.
- the fifth preset coefficient can be less than 1, the fifth product of the weighted average value and the fifth preset coefficient is obtained, and the fifth product is determined as The second alternative detection temperature; or, the fifth preset coefficient may be less than zero, the fifth sum of the weighted average value and the fifth preset coefficient is obtained, and the fifth sum is determined as the second alternative detection temperature. This can improve the heating effect of the air conditioner and shorten the time for the indoor temperature to reach the set temperature.
- the fifth preset coefficient can be greater than 1, and the fifth product of the weighted average value and the fifth preset coefficient is obtained, and the fifth product is determined as the second alternative detection temperature; or, the fifth preset coefficient may be greater than zero, obtain a fifth sum of the weighted average value and the fifth preset coefficient, and determine the fifth sum as the second alternative detection temperature. This can improve the cooling effect of the air conditioner and shorten the time for the indoor temperature to reach the set temperature.
- the device for detecting indoor temperature includes a processor and a memory storing program instructions, and the processor is configured to execute the method for detecting indoor temperature provided in the foregoing embodiments when executing the program instructions.
- Fig. 5 is a schematic diagram of a device for detecting indoor temperature provided by an embodiment of the present disclosure. As shown in Figure 5, the device for detecting the indoor temperature includes:
- a processor (processor) 51 and a memory (memory) 52 may also include a communication interface (Communication Interface) 53 and a bus 54. Wherein, the processor 51 , the communication interface 53 , and the memory 52 can communicate with each other through the bus 54 .
- the communication interface 53 can be used for information transmission.
- the processor 51 may invoke logic instructions in the memory 52 to execute the method for detecting indoor temperature provided in the foregoing embodiments.
- logic instructions in the above-mentioned memory 52 may be implemented in the form of software function units and when sold or used as an independent product, they may be stored in a computer-readable storage medium.
- the memory 52 can be used to store software programs and computer-executable programs, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure.
- the processor 51 executes functional applications and data processing by running software programs, instructions and modules stored in the memory 52, that is, implements the methods in the foregoing method embodiments.
- the memory 52 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application program required by at least one function; the data storage area may store data created according to the use of the terminal device, and the like.
- the memory 52 may include a high-speed random access memory, and may also include a non-volatile memory.
- An embodiment of the present disclosure provides an intelligent air conditioner, including the device for detecting indoor temperature provided in the foregoing embodiments.
- An embodiment of the present disclosure provides a computer-readable storage medium storing computer-executable instructions, and the computer-executable instructions are configured to execute the method for detecting indoor temperature provided in the foregoing embodiments.
- An embodiment of the present disclosure provides a computer program product.
- the computer program product includes a computer program stored on a computer-readable storage medium.
- the computer program includes program instructions. When the program instructions are executed by a computer, the computer is made to execute the information provided in the foregoing embodiments. Method for detecting room temperature.
- the above-mentioned computer-readable storage medium may be a transitory computer-readable storage medium, or a non-transitory computer-readable storage medium.
- the technical solutions of the embodiments of the present disclosure can be embodied in the form of software products, which are stored in a storage medium and include one or more instructions to enable a computer device (which may be a personal computer, a server, or a network equipment, etc.) to execute all or part of the steps of the methods in the embodiments of the present disclosure.
- the aforementioned storage medium can be a non-transitory storage medium, including: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk, etc.
- the term “comprise” and its variants “comprises” and/or comprising (comprising) etc. refer to stated features, integers, steps, operations, elements, and/or The presence of a component does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groupings of these.
- an element qualified by the statement “comprising a " does not preclude the presence of additional identical elements in the process, method or apparatus comprising the element.
- what each embodiment focuses on may be the difference from other embodiments, and the same and similar parts of the various embodiments may refer to each other.
- the relevant part can refer to the description of the method part.
- the disclosed methods and products can be implemented in other ways.
- the device embodiments described above are only illustrative.
- the division of units may only be a logical function division.
- multiple units or components may be combined or may be Integrate 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 through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.
- a unit described as a separate component may or may not be physically separated, and a component shown as a unit may or may not be a physical unit, that is, it may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to implement this embodiment.
- each functional unit in the embodiments of the present disclosure may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit.
- each block in a flowchart or block diagram may represent a module, program segment, or part of code that includes one or more executable instruction.
- the functions noted in the block may occur out of the order noted in the figures. For example, two blocks in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved.
- Each block in the block diagrams and/or flowcharts, and combinations of blocks in the block diagrams and/or flowcharts can be implemented by a dedicated hardware-based system that performs the specified function or action, or can be implemented by dedicated hardware implemented in combination with computer instructions.
Landscapes
- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Air Conditioning Control Device (AREA)
Abstract
提供一种用于检测室内温度的方法,包括:获得与第一温度传感器相邻的多个第三温度传感器的第一检测温度的第一权重的平均值,以及获得与第二温度传感器相邻的多个第四温度传感器的第二检测温度的第二权重的平均值,先依据较大的权重平均值对应的检测温度,确定出一个故障温度传感器的替代检测温度,再确定另外一个故障温度传感器的替代检测温度,最后再依据两个替代检测温度以及正常工作的温度传感器的检测温度确定室内温度。还提供一种用于检测室内温度的装置和智能空调。
Description
本申请基于申请号为202110580573.6、申请日为2021年5月26日的中国专利申请提出,并要求该中国专利申请的优先权,该中国专利申请的全部内容在此引入本申请作为参考。
本申请涉及智能空调技术领域,例如涉及一种用于检测室内温度的方法、装置和智能空调。
目前,空调通过温度传感器检测室内温度,再依据室内温度以及设定温度进行制热或制冷。随着空调的老化,温度传感器可能会出现故障,导致检测到的温度不够准确,甚至无法检测到温度。在现有技术中,通常设定一个温度范围,如果通过温度传感器检测的温度超过该温度范围,则确定该温度传感器出现故障,在该过程中,温度范围为温度传感器“应当”检测到的温度,如果温度传感器出现故障,可以在上述温度范围内选取一个温度,替代温度传感器当前检测的温度,以便于使空调临时制冷或制热,使用户具有较佳的使用体验。
随着空调智能化的发展,可通过多个温度传感器检测室内温度,之后空调再依据该室内温度进行制冷或制热。在通过多个温度传感器检测室内温度的场景中,通过多个温度传感器检测到的多个室内温度,确定一个参考温度,该参考温度即为温度传感器“应当”检测到的温度,如果一个温度传感器检测的温度与该参考温度相差过大,则可确定该温度传感器出现故障,进一步地,可临时将该参考温度替代该故障的温度传感器检测到的温度,继续使空调制冷或制热。
在通过多个温度传感器检测室内温度的场景中,参考温度是通过多个温度传感器检测到的室内温度确定的,适用于一个温度传感器的场景;如果两个温度传感器出现故障,则第二个故障的温度传感器检测到的温度被用于计算参考温度,以替代第一个故障的温度传感器检测到的温度,同样地,第一个故障的温度传感器检测到的温度被用于计算参考温度,以替代第二个故障的温度传感器检测到的温度;或者,通过正常工作的温度传感器计算出一个参考温度,用该参考温度替代第一个故障的温度传感器检测到的温度和 第二个故障的温度传感器检测到的温度。
在实现本公开实施例的过程中,发现相关技术中至少存在如下问题:
在两个温度传感器出现故障的情况下,通过上述两种方式获得的参考温度都不够准确,无法比较准确地替代故障的温度传感器检测到的温度,进而使得临时控制下的空调无法很好地制冷或制热,降低了用户的使用体验。
发明内容
为了对披露的实施例的一些方面有基本的理解,下面给出了简单的概括。所述概括不是泛泛评述,也不是要确定关键/重要组成元素或描绘这些实施例的保护范围,而是作为后面的详细说明的序言。
本公开实施例提供了一种用于检测室内温度的方法、装置和智能空调,以解决在两个温度传感器出现故障时空调无法很好地制冷或制热的技术问题。
在一些实施例中,于检测温度的方法包括:
在通过设置在室内的温度传感器阵列检测室内温度时,如果所述温度传感器阵列中相邻的第一温度传感器和第二温度传感器出现故障,则获得与所述第一温度传感器相邻的多个第三温度传感器的第一检测温度,以及获得与所述第二温度传感器相邻的多个第四温度传感器的第二检测温度;其中,所述温度传感器阵列中包括多个温度传感器,所述多个温度传感器纵横排列;
获得每个所述第一检测温度的第一权重,以及每个所述第二检测温度的第二权重;其中,所述第一权重与所述第一检测温度在全部温度传感器的检测温度的聚集程度正相关,所述第二权重与所述第二检测温度在全部温度传感器的检测温度的聚集程度正相关;
如果多个所述第一权重的平均值大于多个所述第二权重的平均值,则根据多个所述第一检测温度确定所述第一温度传感器的第一替代检测温度,再根据所述第一替代检测温度以及多个所述第二检测温度确定所述第二温度传感器的第二替代检测温度;
如果多个所述第一权重的平均值小于多个所述第二权重的平均值,则根据多个所述第二检测温度确定所述第二温度传感器的第二替代检测温度,再根据所述第二替代检测温度以及多个所述第一检测温度确定所述第一温度传感器的第一替代检测温度;
根据所述第一替代检测温度、所述第二替代检测温度以及所述温度传感器阵列中正常工作的温度传感器的检测温度,确定室内温度。
可选地,获得每个所述第一检测温度的第一权重,以及每个所述第二检测温度的第 二权重,包括:
获得所述温度传感器阵列中每个正常工作的温度传感器的检测温度;
在第一预设温度分区中确定每个所述正常工作的温度传感器的检测温度所在的第一温度分区;
获得每个第一温度分区中所述正常工作的温度传感器的检测温度的数量;
根据所述正常工作的温度传感器的检测温度的数量确定每个第一温度分区的权重;
根据每个所述第一检测温度所在的第一温度分区的权重,确定每个所述第一检测温度的第一权重,以及,根据每个所述第二检测温度所在的第一温度分区的权重,确定每个所述第二检测温度的第二权重。
可选地,根据多个所述第一检测温度确定所述第一温度传感器的第一替代检测温度,包括:确定多个所述第一检测温度的第一平均值为所述第一替代检测温度。
可选地,根据多个所述第一检测温度确定所述第一温度传感器的第一替代检测温度,包括:获得多个所述第一检测温度的第一平均值与第一预设系数的第一乘积或第一加和,确定所述第一乘积或第一加和为所述第一替代检测温度。
可选地,根据所述第一替代检测温度以及多个所述第二检测温度确定所述第二温度传感器的第二替代检测温度,包括:确定所述第一替代检测温度以及多个所述第二检测温度的第二平均值为所述第二替代检测温度。
可选地,根据所述第一替代检测温度以及多个所述第二检测温度确定所述第二温度传感器的第二替代检测温度,包括:获得所述第一替代检测温度以及多个所述第二检测温度的第二平均值与第二预设系数的第二乘积或第二加和,确定所述第二乘积或第二加和为所述第二替代检测温度。
可选地,根据多个所述第二检测温度确定所述第二温度传感器的第二替代检测温度,包括:确定多个所述第二检测温度的第三平均值为所述第二替代检测温度。
可选地,根据多个所述第二检测温度确定所述第二温度传感器的第二替代检测温度,包括:获得多个所述第二检测温度的第三平均值与第三预设系数的第三乘积或第三加和,确定所述第三乘积或第三加和为所述第二替代检测温度。
可选地,根据所述第二替代检测温度以及多个所述第一检测温度确定所述第一温度传感器的第一替代检测温度,包括:确定所述替代检测温度以及多个所述第一检测温度的第四平均值为所述第一替代检测温度。
可选地,根据所述第二替代检测温度以及多个所述第一检测温度确定所述第一温度 传感器的第一替代检测温度,包括:获得所述第二替代检测温度以及多个所述第一检测温度的第四平均值与第四预设系数的第四乘积或第四加和,确定所述第四乘积或第四加和为所述第一替代检测温度。
可选地,根据所述第一替代检测温度、所述第二替代检测温度以及所述温度传感器阵列中正常工作的温度传感器的检测温度,确定所述室内温度,包括:
在第二预设温度分区中,确定所述第一替代检测温度、所述第二替代检测温度以及所述正常工作的温度传感器的检测温度所在的第二温度分区;
获得每个第二温度分区中所述第一替代检测温度、所述第二替代检测温度以及所述正常工作的温度传感器的检测温度的总数量;
根据第二温度分区中所述第一替代检测温度、所述第二替代检测温度以及所述正常工作的温度传感器的检测温度的总数量,确定每个第二温度分区的权重;
根据所述第一替代检测温度、所述第二替代检测温度以及所述正常工作的温度传感器的检测温度所在的第二温度分区的权重,确定所述第一替代检测温度、所述第二替代检测温度以及所述正常工作的温度传感器的检测温度的权重;
根据所述第一替代检测温度、所述第二替代检测温度以及所述正常工作的温度传感器的检测温度的权重,确定所述第一替代检测温度、所述第二替代检测温度以及所述正常工作的温度传感器的检测温度的加权平均值;
根据所述加权平均值确定所述室内温度。
可选地,根据所述加权平均值确定所述室内温度,包括:确定所述加权平均值为所述室内温度。
可选地,根据所述加权平均值确定所述室内温度,包括:获得所述加权平均值与第五预设系数的第五乘积或第五加和,确定所述第五乘积或第五加和为所述室内温度。
在一些实施例中,用于检测室内温度的装置包括处理器和存储有程序指令的存储器,所述处理器被配置为在执行所述程序指令时,执行前述实施例提供的用于检测室内温度的方法。
在一些实施例中,智能空调包括前述实施例提供的用于检测室内温度的装置。
本公开实施例提供的用于检测室内温度的方法、装置和智能空调,可以实现以下技术效果:
在通过温度传感器阵列检测室内温度的过程中,一温度传感器的检测温度的聚集程度越高,说明室内空间中处于该一温度传感器的检测温度的空间更多,该一温度传感器 的检测温度对室内空间的温度越具有代表性,在这样的前提下,如果多个第一检测温度的第一权重的平均值小于多个第二检测温度的第二权重的平均值,则说明相对于第一检测温度对第一温度传感器的第一替代检测温度的代表程度,第二检测温度对第二温度传感器的第二替代检测温度的代表程度更高,这样越能确定出比较准确的第二替代检测温度,进而确定出比较准确的第一温度传感器的第一替代检测温度;对应地,如果多个第一检测温度的第一权重的平均值大于多个第二检测温度的第二权重的平均值,越能确定出比较准确的第一替代检测温度,进而确定出比较准确的第二温度传感器的第二替代检测温度。最终可获得比较准确的室内温度,使临时控制下的空调更好地制冷或制热,提高了用户的使用体验。
以上的总体描述和下文中的描述仅是示例性和解释性的,不用于限制本申请。
一个或一个以上实施例通过与之对应的附图进行示例性说明,这些示例性说明和附图并不构成对实施例的限定,附图中具有相同参考数字标号的元件视为类似的元件,并且其中:
图1是本公开实施例提供的一种用于检测室内温度的实施环境的示意图;
图2是本公开实施例提供的一种用于检测室内温度的方法的示意图;
图3是本公开实施例提供的一种温度传感器阵列的局部示意图;
图4是本公开实施例提供的一种用于确定室内温度的过程的示意图;
图5是本公开实施例提供的一种用于检测室内温度的装置的示意图。
为了能够更加详尽地了解本公开实施例的特点与技术内容,下面结合附图对本公开实施例的实现进行详细阐述,所附附图仅供参考说明之用,并非用来限定本公开实施例。在以下的技术描述中,为方便解释起见,通过多个细节以提供对所披露实施例的充分理解。然而,在没有这些细节的情况下,一个或一个以上实施例仍然可以实施。在其它情况下,为简化附图,熟知的结构和装置可以简化展示。
本公开实施例的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别类似的对象,而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换,以便这里描述的本公开实施例的实施例。此外,术语“包括” 和“具有”以及他们的任何变形,意图在于覆盖不排他的包含。
除非另有说明,术语“多个”表示两个或两个以上。
本公开实施例中,字符“/”表示前后对象是一种“或”的关系。例如,A/B表示:A或B。
术语“和/或”是一种描述对象的关联关系,表示可以存在三种关系。例如,A和/或B,表示:A或B,或,A和B这三种关系。
图1是本公开实施例提供的一种用于检测室内温度的实施环境的示意图。结合图1所示,该实施环境为一房间内部,温度传感器阵列中包括多个温度传感器11,多个温度传感器11纵横排列,温度传感器阵列可覆盖室内的一侧墙体12,也可覆盖室内的部分墙体(图1中未示出),相邻温度传感器11之间的距离越大,则温度传感器阵列检测到室内温度分布的精度越低,但越容易布置、应用;相邻温度传感器11之间的距离越小,则温度传感器阵列检测到室内温度分布的精度越高,但越难布置应用,本领域技术人员可根据精度要求以及布置、使用难度的要求,适当调整相邻温度传感器之间的距离。
在每个温度传感器11检测到温度后,可在温度传感器阵列中对每个温度传感器11检测的温度进行处理,可将每个温度传感器11检测温度传输至智能空调,由智能空调对每个温度传感器11检测的温度进行处理,还可将每个温度传感器11检测的温度传输至家庭云平台,由家庭云平台对每个温度传感器11检测到的温度进行处理,最终获得一个室内温度,或者,最终获得室内温度分布图,之后依据该一个室内温度,或者,室内温度分布图,对设置在室内的智能空调进行控制。
智能空调可设置在区域A1处,还可设置在区域A2处。
图2是本公开实施例提供的一种用于检测室内温度的方法的示意图。该用于检测室内温度的方法可由温度传感器阵列执行,可由智能空调或智能家居***的控制终端执行,也可由家庭云平台执行,还可由智能空调执行。
结合图2所示,用于检测室内温度的方法包括:
S201、在通过设置在室内的温度传感器阵列检测室内温度时,如果温度传感器阵列中相邻的第一温度传感器和第二温度传感器出现故障,则获得与第一温度传感器相邻的多个第三温度传感器的第一检测温度,以及获得与第二温度传感器相邻的多个第四温度传感器的第二检测温度。
其中,温度传感器阵列中包括多个温度传感器,多个温度传感器纵横排列。
本公开实施例中的第三温度传感器和第四温度传感器是可以正常工作的温度传感 器。
在一些应用场景中,第一温度传感器在温度传感器阵列的非边缘处,则7个正常工作的温度传感器与第一温度传感器相邻,其中,3个温度传感器与第一温度传感器的距离为第一距离,4个温度传感器与第一温度传感器的距离为第二距离,且,第一距离小于第二距离。这种场景下,获得与第一温度传感器的距离为第一距离的正常工作的3个第三温度传感器的第一检测温度,或者,获得与第一温度传感器相邻的正常工作的7个第三温度传感器的第一检测温度。
在一些应用场景中,第一温度传感器在温度传感器阵列的边缘且非角落处,则有5个温度传感器与第一温度传感器相邻,其中,3个温度传感器与第一温度传感器的距离为第一距离,另外2个温度传感器与第一温度传感器的距离为第二距离,其中,第一距离小于第二距离。这种场景下,获得该5个正常工作的第三温度传感器的第一检测温度;或者,获得距离第一温度传感器为第一距离的3个第三温度传感器的第一检测温度。
在一些应用场景中,第一温度传感器在温度传感器阵列的角落处,则有3个温度传感器与第一温度传感器相邻,其中,2个温度传感器与第一温度传感器的距离为第一距离,另外1个温度传感器与第一温度传感器的距离为第二距离,其中,第一距离小于第二距离。这种场景下,获得5个第三温度传感器的第一检测温度;或者,获得距离第一温度传感器为第一距离的2个第三温度传感器的第一检测温度。
在一些应用场景中,第二温度传感器位于温度传感器阵列的非边缘处,7个正常工作的温度传感器与第二温度传感器相邻,其中,3个温度传感器与第二温度传感器的距离为第一距离,4个温度传感器与第二温度传感器的距离为第二距离,且,第一距离小于第二距离。这种场景下,获得与第二温度传感器的距离为第一距离的正常工作的3个第四温度传感器的第二检测温度,或者,获得与第二温度传感器相邻的正常工作的7个第四温度传感器的第二检测温度。
在一些应用场景中,第二温度传感器在温度传感器阵列的边缘且非角落处,则有5个温度传感器与第二温度传感器相邻,其中,3个温度传感器与第二温度传感器的距离为第一距离,另外2个温度传感器与第二温度传感器的距离为第二距离,其中,第一距离小于第二距离。这种场景下,获得该5个正常工作的第四温度传感器的第二检测温度;或者,获得距离第二温度传感器为第一距离的3个第四温度传感器的第二检测温度。
在一些应用场景中,第二温度传感器在温度传感器阵列的角落处,则有3个温度传感器与第二温度传感器相邻,其中,2个温度传感器与第二温度传感器的距离为第一距 离,另外1个温度传感器与第二温度传感器的距离为第二距离,其中,第一距离小于第二距离。这种场景下,获得5个第四温度传感器的第二检测温度;或者,获得距离第二温度传感器为第一距离的2个第四温度传感器的第二检测温度。
在一些应用场景中,如果在获得第一检测温度时,获得与第一温度传感器的距离为第一距离的正常工作的多个第三温度传感器的第一检测温度,则在获得第二检测温度时,获得与第二温度传感器的距离为第一距离的正常工作的多个第四温度传感器的第二检测温度;如果在获得第二检测温度时,获得与第一温度传感器的距离在第二距离以内的正常工作的多个第三温度传感器的第一检测温度,则在获得第二检测温度时,获得与第二温度传感器的距离在第二距离以内的正常工作的多个第四温度传感器的第二检测温度。
S202、获得每个第一检测温度的第一权重,以及每个第二检测温度的第二权重。
其中,第一权重与第一检测温度在全部温度传感器的检测温度的聚集程度正相关,第二权重与第二检测温度在全部温度传感器的检测温度的聚集程度正相关。
这里的全部温度传感器指的是温度传感器阵列中的全部温度传感器。
这里的第一检测温度的聚集程度可用与第一检测温度的差值在第一设定范围内的检测温度的第一数量来表示,第一数量越大,可表示第一检测温度的聚集程度越高,第一数量越小,可表示第一检测温度的聚集程度越低;这里的第一设定范围,可以是[-1℃,1℃]、[-2℃,2℃]或[-3℃,3℃]等。
同样地,第二检测温度的聚集程度可用与第二检测温度的差值在第二设定范围内的检测温度的第二数量来表示,第二数量越大,可表示第二检测温度的聚集程度越高,第二数量越小,可表示第二检测温度的聚集程度越低;这里的第二设定范围,可以是[-1℃,1℃]、[-2℃,2℃]或[-3℃,3℃]等。
另外,这里的第一检测温度的聚集程度可用第一检测温度所在的温度区间内检测温度的第三数量来表示,第三数量越大,表示第一检测温度的聚集程度越高,第三数量越小,表示第一检测温度的聚集程度越低。例如,第一检测温度所在的温度区间为[18℃,20℃),在温度传感器阵列中,存在3个正常工作的温度传感器的检测温度在[18℃,20℃)内,则第三数量为3。
同样地,第二检测温度的聚集程度可用第二检测温度所在的温度区间内检测温度的第四数量来表示,第四数量越大,表示第二检测温度的聚集程度越高,第四数量越小,表示第二检测温度的聚集程度越低。例如,第二检测温度所在的温度区间为[20℃,22℃), 在温度传感器阵列中,存在4个正常工作的温度传感器的检测温度在[20℃,22℃)内,则第四数量为4。
在用第一检测温度所在的温度区间内检测温度的数量(第三数量)来表示第一检测温度的第一权重,用第二检测温度所在的温度区间内检测温度的数量(第四数量)来表示第二检测温度的第二权重的情况下,获得每个第一检测温度的第一权重,以及每个第二检测温度的第二权重,包括:获得温度传感器阵列中每个正常工作的温度传感器的检测温度;在第一预设温度分区中确定每个正常工作的温度传感器的检测温度所在的第一温度分区;获得每个第一温度分区中正常工作的温度传感器的检测温度的数量;根据正常工作的温度传感器的检测温度的数量确定每个第一温度分区的权重;根据每个第一检测温度所在的第一温度分区的权重,确定每个第一检测温度的第一权重,以及,根据每个第二检测温度所在的第一温度分区的权重,确定每个第二检测温度的第二权重。
上述正常工作的温度传感器包括前述第三温度传感器以及第四温度传感器,上述正常工作的温度传感器的检测温度,包括前述第三温度传感器的第一检测温度以及第四温度传感器的第二检测温度。
第一预设温度分区是预先划分的温度分区,例如第一预设温度分区中可包括:[14℃,16℃)、[16℃,18℃)、[18℃,20℃)、[20℃,22℃)、[22℃,24℃)、[24℃,26℃)和[26℃,28℃)等,或者,每2℃的温度跨度为一个温度区分其他划分方式,或者,每1℃的温度跨度为一个温度分区,或者,每3℃、4℃或5℃的温度跨度为一个温度分区。本实施例中的第一预设温度分区仅为示例性说明温度分区的含义,不对预设温度构成具体限定,本领域技术人员可根据实际需求,确定合适的第一预设温度分区。
如果一个正常工作的温度传感器的检测温度为18℃,那么,该检测温度18℃所在的第一温度分区为[18℃,20℃),并且,该检测温度18℃使第一温度分区[18℃,20℃)的检测温度的数量增加1。
一个第一温度分区中,正常工作的温度传感器的检测温度的数量越多,则该第一温度分区的权重越大。可将第一温度分区中正常工作的温度传感器的检测温度的数量与第一温度分区的权重的对应关系预先存储在数据库中,在需要获得一个第一温度分区的权重时,在数据库查询该一个第一温度分区中正常工作的温度传感器的检测温度的数量,即可获得该一个第一温度分区的权重。
另外,还可将一个第一温度分区中正常工作的温度传感器的检测温度的数量,作为该一个第一温度分区的权重。
室内温度传感器阵列检测到的是一个平面内的温度,室内温度是三维空间内的温度。传感器阵列检测到的温度,实质为室内温度遵循温度在空间中分布规律进行分布后,与传感器阵列所处平面的截面所呈现出的温度。在利用空调制冷的情况下,室内空间中的分布规律可总结为:距离空调越远的位置,其温度越高;距离空调越远的位置,两条等温线之间的距离越大。
处于特定温度区间中的温度传感器的检测温度的数量越多,可表示室内空间中还有更多的空间的温度处于该特定温度区间。在本公开实施例中,特定温度区间的权重越大,表示温度处于特定温度区间中的室内空间的体积越大;特定温度区间的权重越小,表示温度处于特定温度区中的室内空间的体积越小。这种情况下,特定温度区间的权重越大,表示该特定温度区间的温度对室内空间温度的代表性越强,特定温度区间的权重越小,表示该特定温度区间的温度对室内空间温度的代表性越弱。这里的特定温度区间,指的是前述第一预设温度区间中的任一温度区间。
可将第一检测温度所在的第一温度区间的权重,确定为第一检测温度的第一权重;将第二检测温度所在的第一温度区间的权重,确定为第二检测温度的第二权重。例如,第一检测温度为18℃,所在第一温度区间为[18℃,20℃),那么,将第一温度区间[18℃,20℃)的权重确定为第一权重;第二检测温度为20℃,所在第一温度区间为[20℃,22℃),那么,将第一温度区间[20℃,22℃)的权重确定为第二权重。
通过上述技术方案,即可获得第一检测温度的第一权重和第二检测温度的第二权重,并且,这里的第一权重越大,可表示第一检测温度对室内温度的代表性越强,这里的第二权重越大,可表示第二检测温度对室内温度的代表性越强。
S203、如果多个第一权重的平均值大于多个第二权重的平均值,则根据多个第一检测温度确定第一温度传感器的第一替代检测温度,再根据第一替代检测温度以及多个第二检测温度确定第二温度传感器的第二替代检测温度。
在第一权重和第二权重的数量相等的情况下,即,第三温度传感器和第四温度传感器的数量相等的情况下,比较多个第一权重的平均值与第二权重的平均值的大小关系,等同于比较多个第一权重的加和与多个第二权重的加和的大小关系,可见,在这种情况下,将比较多个第一权重的平均值与多个第二权重的平均值的大小关系的方案,替换为比较多个第一权重的加和与多个第二权重加和的大小关系的方案,属于常规替换。在第一权重和第二权重的数量相等的情况下,比较多个第一权重的加和与多个第二权重加和的大小关系的方案也属于本公开实施例覆盖的范围。
可选地,根据多个第一检测温度确定第一温度传感器的第一替代检测温度,包括:确定多个第一检测温度的第一平均值为第一替代检测温度。
或者,根据多个第一检测温度确定第一温度传感器的第一替代检测温度,可包括:获得多个第一检测温度的第一平均值与第一预设系数的第一乘积或第一加和,确定第一乘积或第一加和为第一替代检测温度。
例如,在空调的制热过程中,如果室内温度低于空调的设定温度,第一预设系数可小于1,获得第一平均值与第一预设系数的第一乘积,确定第一乘积为第一替代检测温度;或者,第一预设系数可小于零,获得第一平均值与第一预设系数的第一加和,确定第一加和为第一替代检测温度。这样可提高空调的制热效果,减少室内温度达到设定温度的时间。
在空调的制冷过程中,如果室内温度高于空调的设定温度,第一预设系数可大于1,获得第一平均值与第一预设系数的第一乘积,确定第一乘积为第一替代检测温度;或者,第一预设系数可大于零,获得第一平均值与第一预设系数的第一加和,确定第一加和为第一替代检测温度。这样可提高空调的制冷效果,减少室内温度达到设定温度的时间。
采用上述技术方案,在确保室内温度准确度的基础上,再对室内温度按照预期进行微调,可减少室内温度达到设定温度时间。
可选地,根据第一替代检测温度以及多个第二检测温度确定第二温度传感器的第二替代检测温度,包括:确定第一替代检测温度以及多个第二检测温度的第二平均值为第二替代检测温度。
或者,根据第一替代检测温度以及多个第二检测温度确定第二温度传感器的第二替代检测温度,可包括:获得第一替代检测温度以及多个第二检测温度的第二平均值与第二预设系数的第二乘积或第二加和,确定第二乘积或第二加和为第二替代检测温度。
例如,在空调的制热过程中,如果室内温度低于空调的设定温度,第二预设系数可小于1,获得第二平均值与第二预设系数的第二乘积,确定第二乘积为第二替代检测温度;或者,第二预设系数可小于零,获得第二平均值与第二预设系数的第二加和,确定第二加和为第二替代检测温度。这样可提高空调的制热效果,减少室内温度达到设定温度的时间。
在空调的制冷过程中,如果室内温度高于空调的设定温度,第二预设系数可大于1,获得第二平均值与第二预设系数的第二乘积,确定第二乘积为第二替代检测温度;或者,第二预设系数可大于零,获得第二平均值与第二预设系数的第二加和,确定第二加和为 第二替代检测温度。这样可提高空调的制冷效果,减少室内温度达到设定温度的时间。
采用上述技术方案,在确保室内温度准确度的基础上,再对室内温度按照预期进行微调,可减少室内温度达到设定温度时间。
S204、如果多个第一权重的平均值小于多个第二权重的平均值,则根据多个第二检测温度确定第二温度传感器的第二替代检测温度,再根据第二替代检测温度以及多个第一检测温度确定第一温度传感器的第一替代检测温度。
可选地,根据多个第二检测温度确定第二温度传感器的第二替代检测温度,包括:确定多个第二检测温度的第三平均值为第二替代检测温度。
或者,根据多个第二检测温度确定第二温度传感器的第二替代检测温度,可包括:获得多个第二检测温度的第三平均值与第三预设系数的第三乘积或第三加和,确定第三乘积或第三加和为第二替代检测温度。
例如,在空调的制热过程中,如果室内温度低于空调的设定温度,第三预设系数可小于1,获得第三平均值与第三预设系数的第三乘积,确定第三乘积为第二替代检测温度;或者,第三预设系数可小于零,获得第三平均值与第三预设系数的第三加和,确定第三加和为第二替代检测温度。这样可提高空调的制热效果,减少室内温度达到设定温度的时间。
在空调的制冷过程中,如果室内温度高于空调的设定温度,第三预设系数可大于1,获得第三平均值与第三预设系数的第三乘积,确定第三乘积为第二替代检测温度;或者,第三预设系数可大于零,获得第三平均值与第三预设系数的第三加和,确定第三加和为第二替代检测温度。这样可提高空调的制冷效果,减少室内温度达到设定温度的时间。
采用上述技术方案,在确保室内温度准确度的基础上,再对室内温度按照预期进行微调,可减少室内温度达到设定温度时间。
可选地,根据第二替代检测温度以及多个第一检测温度确定第一温度传感器的第一替代检测温度,包括:确定替代检测温度以及多个第一检测温度的第四平均值为第一替代检测温度。
或者,根据第二替代检测温度以及多个第一检测温度确定第一温度传感器的第一替代检测温度,可包括:获得第二替代检测温度以及多个第一检测温度的第四平均值与第四预设系数的第四乘积或第四加和,确定第四乘积或第四加和为第一替代检测温度。
例如,在空调的制热过程中,如果室内温度低于空调的设定温度,第四预设系数可小于1,获得第四平均值与第四预设系数的第四乘积,确定第四乘积为第一替代检测温 度;或者,第四预设系数可小于零,获得第四平均值与第四预设系数的第四加和,确定第四加和为第一替代检测温度。这样可提高空调的制热效果,减少室内温度达到设定温度的时间。
在空调的制冷过程中,如果室内温度高于空调的设定温度,第四预设系数可大于1,获得第四平均值与第四预设系数的第四乘积,确定第四乘积为第一替代检测温度;或者,第四预设系数可大于零,获得第四平均值与第四预设系数的第四加和,确定第四加和为第一替代检测温度。这样可提高空调的制冷效果,减少室内温度达到设定温度的时间。
采用上述技术方案,在确保室内温度准确度的基础上,再对室内温度按照预期进行微调,可减少室内温度达到设定温度时间。
S205、根据第一替代检测温度、第二替代检测温度以及温度传感器阵列中正常工作的温度传感器的检测温度,确定室内温度。
例如,确定第一替代检测温度、第二替代检测温度以及温度传感器阵列中正常工作的温度传感器的检测温度的平均值为室内温度。
在通过温度传感器阵列检测室内温度的过程中,一温度传感器的检测温度的聚集程度越高,说明室内空间中处于该一温度传感器的检测温度的空间更多,该一温度传感器的检测温度对室内空间的温度越具有代表性,在这样的前提下,如果多个第一检测温度的第一权重的平均值小于多个第二检测温度的第二权重的平均值,则说明相对于第一检测温度对第一温度传感器的第一替代检测温度的代表程度,第二检测温度对第二温度传感器的第二替代检测温度的代表程度更高,这样越能确定出比较准确的第二替代检测温度,进而确定出比较准确的第一温度传感器的第一替代检测温度;对应地,如果多个第一检测温度的第一权重的平均值大于多个第二检测温度的第二权重的平均值,越能确定出比较准确的第一替代检测温度,进而确定出比较准确的第二温度传感器的第二替代检测温度。最终可获得比较准确的室内温度,使临时控制下的空调更好地制冷或制热,提高了用户的使用体验。
图3是本公开实施例提供的一种温度传感器阵列的局部示意图,以示例性说明第一温度传感器、第二温度传感器、第三温度传感器和第四温度传感器的位置关系。
在一些应用场景中,第一温度传感器为TE5,第二温度传感器为TE8,则与第一温度传感器TE5相邻的正常工作的多个第三温度传感器分别为:TE2、TE4和TE6,其中,第三温度传感器TE2、TE4和TE6与第一温度传感器TE5的距离为第一距离;与第二温度传感器TE8相邻的正常工作的多个第四温度传感器分别为:TE7、TE9和TE11,其中, 第四温度传感器TE7、TE9和TE11与第二温度传感器TE8的距离为第一距离。
或者,与第一温度传感器TE5相邻的正常工作的多个第三温度传感器分别为:TE1、TE2、TE3、TE4和TE6,其中,第三温度传感器TE2、TE4和TE6与第一温度传感器TE5的距离为第一距离,第三温度传感器TE1和TE3与第一温度传感器TE5的距离为第二距离;与第二温度传感器TE8相邻的正常工作的多个第四温度传感器分别为:TE7、TE9、TE10、TE11和TE12,其中,第四温度传感器TE7、TE9和TE11与第二温度传感器TE8的距离为第一距离,第四温度传感器TE10和TE12与第二温度传感器TE8的距离为第二距离。
或者,与第一温度传感器TE5相邻的正常工作的多个第三温度传感器分别为:TE1、TE2、TE3、TE4、TE6、TE7和TE9,其中,第三温度传感器TE2、TE4和TE6与第一温度传感器TE5的距离为第一距离,第三温度传感器TE1、TE3、TE7和TE9与第一温度传感器TE5的距离为第二距离;与第二温度传感器TE8相邻的正常工作的多个第四温度传感器分别为:TE4、TE6、TE7、TE9、TE10、TE11和TE12,其中,第四温度传感器TE7、TE9和TE11与第二温度传感器TE8的距离为第一距离,第四温度传感器TE4、TE6、TE10和TE12与第二温度传感器TE8的距离为第二距离。
在第一温度传感器或第二温度传感器处于温度传感器阵列的边缘且非角落处,或者处于温度传感器阵列的角落处,本领域技术人员可依据前述实施例提供的示例,适应性确定第三温度传感器以及第四温度传感器。
在前述实施例中,提供了依据各温度传感器(包括故障的第一温度传感器、第二温度传感器和正常工作的温度传感器)的检测温度(包括第一替代检测温度、第二替代检测温度和正常工作的温度传感器的检测温度)的平均值确定室内温度的方案,进一步地,为了确定出更加准确的室内温度,还可采用另一种方案确定室内温度。
图4是本公开实施例提供的一种用于确定室内温度的过程的示意图。结合图4所示,根据第一替代检测温度、第二替代检测温度以及温度传感器阵列中正常工作的温度传感器的检测温度,确定室内温度,包括:
S401、在第二预设温度分区中,确定第一替代检测温度、第二替代检测温度以及正常工作的温度传感器的检测温度所在的第二温度分区。
第二预设温度分区是预先划分的温度分区,例如第二预设温度分区中可包括:[14℃,16℃)、[16℃,18℃)、[18℃,20℃)、[20℃,22℃)、[22℃,24℃)、[24℃,26℃)和[26℃,28℃)等,或者,每2℃的温度跨度为一个温度区分其他划分方式,或者,每 1℃的温度跨度为一个温度分区,或者,每3℃、4℃或5℃的温度跨度为一个温度分区。本实施例中的第二预设温度分区仅为示例性说明温度分区的含义,不对预设温度构成具体限定,本领域技术人员可根据实际需求,确定合适的第二预设温度分区。
这里的第二预设温度分区,可以与前述第一预设温度分区相同,也可与前述第一温度分区不同。
S402、获得每个第二温度分区中第一替代检测温度、第二替代检测温度以及正常工作的温度传感器的检测温度的总数量。
再例如,一个温度传感器的检测温度(或第一替代检测温度,或第二替代检测温度)为18℃,该检测温度(或第一替代检测温度,或第二替代检测温度)18℃所在的第二温度分区为[18℃,20℃)。并且,该检测温度(或第一替代检测温度,或第二替代检测温度)18℃使第二温度分区[18℃,20℃)的检测温度的总数量增加1。
S403、根据第二温度分区中第一替代检测温度、第二替代检测温度以及正常工作的温度传感器的检测温度的总数量,确定每个第二温度分区的权重。
一个第二温度分区中,第一替代检测温度、第二替代检测温度以及正常工作的温度传感器的检测温度的总数量越多,则该第二温度分区的权重越大。可将第二温度分区中第一替代检测温度、第二替代检测温度以及正常工作的温度传感器的检测温度的总数量与第二温度分区的权重的对应关系预先存储在数据库中,在需要获得一个第二温度分区的权重时,在数据库查询该一个第二温度分区中第一替代检测温度、第二替代检测温度以及正常工作的温度传感器的检测温度的总数量,即可获得该一个第二温度分区的权重。
另外,还可将一个第二温度分区中第一替代检测温度、第二替代检测温度以及正常工作的温度传感器的检测温度的总数量,作为该一个第二温度分区的权重。
这样第二温度分区中的权重,可表示第二温度分区对室内温度的代表程度:第二温度分区的权重越大,第二温度分区对室内温度的代表程度越强;第二温度分区的权重越小,第二温度分区对室内温度的代表程度越弱。
S404、根据第一替代检测温度、第二替代检测温度以及正常工作的温度传感器的检测温度所在的第二温度分区的权重,确定第一替代检测温度、第二替代检测温度以及正常工作的温度传感器的检测温度的权重。
例如,可将第一替代检测温度所在的第二温度分区的权重,确定为第一替代检测温度的权重;将第二替代检测温度所在的第二温度分区的权重,确定为第二替代检测温度的权重,将正常工作的温度传感器的检测温度所在的第二温度分区的权重,确定为正常 工作的温度传感器的检测温度的权重。
这样,第一替代检测温度、第二替代检测温度以及正常工作的温度传感器的检测温度的权重,即可表示第一替代检测温度、第二替代检测温度以及正常工作的温度传感器的检测温度对室内温度的代表程度:第一替代检测温度的权重越大,表示第一替代检测温度对室内温度的代表程度越强,第一替代检测温度的权重越小,表示第一替代检测温度对室内温度的代表程度越弱;第二替代检测温度的权重越大,表示第二替代检测温度对室内温度的代表程度越强,第二替代检测温度的权重越小,表示第二替代检测温度对室内温度的代表程度越弱;正常工作的温度传感器的检测温度的权重越大,表示正常工作的温度传感器的检测温度对室内温度的代表程度越强,正常工作的温度传感器的检测温度的权重越小,表示正常工作的温度传感器的检测温度对室内温度的代表程度越弱。
S405、根据第一替代检测温度、第二替代检测温度以及正常工作的温度传感器的检测温度的权重,确定第一替代检测温度、第二替代检测温度以及正常工作的温度传感器的检测温度的加权平均值。
S406、根据加权平均值确定室内温度。
采用上述技术方案可确定出更加准确的室内温度。
可选地,根据加权平均值确定室内温度,包括:确定加权平均值为室内温度。
或者,根据加权平均值确定室内温度,可包括:获得加权平均值与第五预设系数的第五乘积或第五加和,确定第五乘积或第五加和为室内温度。
例如,在空调的制热过程中,如果室内温度低于空调的设定温度,第五预设系数可小于1,获得加权平均值与第五预设系数的第五乘积,确定第五乘积为第二替代检测温度;或者,第五预设系数可小于零,获得加权平均值与第五预设系数的第五加和,确定第五加和为第二替代检测温度。这样可提高空调的制热效果,减少室内温度达到设定温度的时间。
在空调的制冷过程中,如果室内温度高于空调的设定温度,第五预设系数可大于1,获得加权平均值与第五预设系数的第五乘积,确定第五乘积为第二替代检测温度;或者,第五预设系数可大于零,获得加权平均值与第五预设系数的第五加和,确定第五加和为第二替代检测温度。这样可提高空调的制冷效果,减少室内温度达到设定温度的时间。
采用上述技术方案,在确保室内温度准确度的基础上,再对室内温度按照预期进行微调,可减少室内温度达到设定温度时间。
在一些实施例中,用于检测室内温度的装置包括处理器和存储有程序指令的存储器, 处理器被配置为在执行程序指令时,执行前述实施例提供的用于检测室内温度的方法。
图5是本公开实施例提供的一种用于检测室内温度的装置的示意图。结合图5所示,用于检测室内温度的装置包括:
处理器(processor)51和存储器(memory)52,还可以包括通信接口(Communication Interface)53和总线54。其中,处理器51、通信接口53、存储器52可以通过总线54完成相互间的通信。通信接口53可以用于信息传输。处理器51可以调用存储器52中的逻辑指令,以执行前述实施例提供的用于检测室内温度的方法。
此外,上述的存储器52中的逻辑指令可以通过软件功能单元的形式实现并作为独立的产品销售或使用时,可以存储在一个计算机可读取存储介质中。
存储器52作为一种计算机可读存储介质,可用于存储软件程序、计算机可执行程序,如本公开实施例中的方法对应的程序指令/模块。处理器51通过运行存储在存储器52中的软件程序、指令以及模块,从而执行功能应用以及数据处理,即实现上述方法实施例中的方法。
存储器52可包括存储程序区和存储数据区,其中,存储程序区可存储操作***、至少一个功能所需的应用程序;存储数据区可存储根据终端设备的使用所创建的数据等。此外,存储器52可以包括高速随机存取存储器,还可以包括非易失性存储器。
本公开实施例提供了一种智能空调,包含前述实施例提供的用于检测室内温度的装置。
本公开实施例提供了一种计算机可读存储介质,存储有计算机可执行指令,计算机可执行指令设置为执行前述实施例提供的用于检测室内温度的方法。
本公开实施例提供了一种计算机程序产品,计算机程序产品包括存储在计算机可读存储介质上的计算机程序,计算机程序包括程序指令,当程序指令被计算机执行时,使计算机执行前述实施例提供的用于检测室内温度的方法。
上述的计算机可读存储介质可以是暂态计算机可读存储介质,也可以是非暂态计算机可读存储介质。
本公开实施例的技术方案可以以软件产品的形式体现出来,该计算机软件产品存储在一个存储介质中,包括一个或一个以上指令用以使得一台计算机设备(可以是个人计算机,服务器,或者网络设备等)执行本公开实施例中方法的全部或部分步骤。而前述的存储介质可以是非暂态存储介质,包括:U盘、移动硬盘、只读存储器(Read-Only Memory,ROM)、随机读取存储器(Random Access Memory,RAM)、磁碟或者光盘等多种 可以存储程序代码的介质,也可以是暂态存储介质。
以上描述和附图充分地示出了本公开的实施例,以使本领域的技术人员能够实践它们。其他实施例可以包括结构的、逻辑的、电气的、过程的以及其他的改变。实施例仅代表可能的变化。除非明确要求,否则单独的部件和功能是可选的,并且操作的顺序可以变化。一些实施例的部分和特征可以被包括在或替换其他实施例的部分和特征。而且,本申请中使用的用词仅用于描述实施例并且不用于限制权利要求。如在实施例以及权利要求的描述中使用的,除非上下文清楚地表明,否则单数形式的“一个”(a)、“一个”(an)和“所述”(the)旨在同样包括复数形式。另外,当用于本申请中时,术语“包括”(comprise)及其变型“包括”(comprises)和/或包括(comprising)等指陈述的特征、整体、步骤、操作、元素,和/或组件的存在,但不排除一个或一个以上其它特征、整体、步骤、操作、元素、组件和/或这些的分组的存在或添加。在没有更多限制的情况下,由语句“包括一个……”限定的要素,并不排除在包括要素的过程、方法或者设备中还存在另外的相同要素。本文中,每个实施例重点说明的可以是与其他实施例的不同之处,各个实施例之间相同相似部分可以互相参见。对于实施例公开的方法、产品等而言,如果其与实施例公开的方法部分相对应,那么相关之处可以参见方法部分的描述。
本领域技术人员可以意识到,结合本文中所公开的实施例描述的各示例的单元及算法步骤,能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行,可以取决于技术方案的特定应用和设计约束条件。技术人员可以对每个特定的应用来使用不同方法以实现所描述的功能,但是这种实现不应认为超出本公开实施例的范围。技术人员可以清楚地了解到,为描述的方便和简洁,上述描述的***、装置和单元的具体工作过程,可以参考前述方法实施例中的对应过程,在此不再赘述。
本文所披露的实施例中,所揭露的方法、产品(包括但不限于装置、设备等),可以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,单元的划分,可以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***,或一些特征可以忽略,或不执行。另外,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,机械或其它的形式。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,即可以位于一个地方,或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例。另外,在本公开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。
附图中的流程图和框图显示了根据本公开实施例的***、方法和计算机程序产品的可能实现的体系架构、功能和操作。在这点上,流程图或框图中的每个方框可以代表一个模块、程序段或代码的一部分,模块、程序段或代码的一部分包含一个或一个以上用于实现规定的逻辑功能的可执行指令。在有些作为替换的实现中,方框中所标注的功能也可以以不同于附图中所标注的顺序发生。例如,两个连续的方框实际上可以基本并行地执行,它们有时也可以按相反的顺序执行,这可以依所涉及的功能而定。框图和/或流程图中的每个方框、以及框图和/或流程图中的方框的组合,可以用执行规定的功能或动作的专用的基于硬件的***来实现,或者可以用专用硬件与计算机指令的组合来实现。
Claims (10)
- 一种用于检测温度的方法,其特征在于,包括:在通过设置在室内的温度传感器阵列检测室内温度时,如果所述温度传感器阵列中相邻的第一温度传感器和第二温度传感器出现故障,则获得与所述第一温度传感器相邻的多个第三温度传感器的第一检测温度,以及获得与所述第二温度传感器相邻的多个第四温度传感器的第二检测温度;其中,所述温度传感器阵列中包括多个温度传感器,所述多个温度传感器纵横排列;获得每个所述第一检测温度的第一权重,以及每个所述第二检测温度的第二权重;其中,所述第一权重与所述第一检测温度在全部温度传感器的检测温度的聚集程度正相关,所述第二权重与所述第二检测温度在全部温度传感器的检测温度的聚集程度正相关;如果多个所述第一权重的平均值大于多个所述第二权重的平均值,则根据多个所述第一检测温度确定所述第一温度传感器的第一替代检测温度,再根据所述第一替代检测温度以及多个所述第二检测温度确定所述第二温度传感器的第二替代检测温度;如果多个所述第一权重的平均值小于多个所述第二权重的平均值,则根据多个所述第二检测温度确定所述第二温度传感器的第二替代检测温度,再根据所述第二替代检测温度以及多个所述第一检测温度确定所述第一温度传感器的第一替代检测温度;根据所述第一替代检测温度、所述第二替代检测温度以及所述温度传感器阵列中正常工作的温度传感器的检测温度,确定室内温度。
- 根据权利要求1所述的方法,其特征在于,获得每个所述第一检测温度的第一权重,以及每个所述第二检测温度的第二权重,包括:获得所述温度传感器阵列中每个正常工作的温度传感器的检测温度;在第一预设温度分区中确定每个所述正常工作的温度传感器的检测温度所在的第一温度分区;获得每个第一温度分区中所述正常工作的温度传感器的检测温度的数量;根据所述正常工作的温度传感器的检测温度的数量确定每个第一温度分区的权重;根据每个所述第一检测温度所在的第一温度分区的权重,确定每个所述第一检测温度的第一权重,以及,根据每个所述第二检测温度所在的第一温度分区的权重,确定每个所述第二检测温度的第二权重。
- 根据权利要求1所述的方法,其特征在于,根据多个所述第一检测温度确定所述第一温度传感器的第一替代检测温度,包括:确定多个所述第一检测温度的第一平均值为所述第一替代检测温度;或者,获得多个所述第一检测温度的第一平均值与第一预设系数的第一乘积或第一加和,确定所述第一乘积或第一加和为所述第一替代检测温度。
- 根据权利要求1所述的方法,其特征在于,根据所述第一替代检测温度以及多个所述第二检测温度确定所述第二温度传感器的第二替代检测温度,包括:确定所述第一替代检测温度以及多个所述第二检测温度的第二平均值为所述第二替代检测温度;或者,获得所述第一替代检测温度以及多个所述第二检测温度的第二平均值与第二预设系数的第二乘积或第二加和,确定所述第二乘积或第二加和为所述第二替代检测温度。
- 根据权利要求1所述的方法,其特征在于,根据多个所述第二检测温度确定所述第二温度传感器的第二替代检测温度,包括:确定多个所述第二检测温度的第三平均值为所述第二替代检测温度;或者,获得多个所述第二检测温度的第三平均值与第三预设系数的第三乘积或第三加和,确定所述第三乘积或第三加和为所述第二替代检测温度。
- 根据权利要求1所述的方法,其特征在于,根据所述第二替代检测温度以及多个所述第一检测温度确定所述第一温度传感器的第一替代检测温度,包括:确定所述替代检测温度以及多个所述第一检测温度的第四平均值为所述第一替代检测温度;或者,获得所述第二替代检测温度以及多个所述第一检测温度的第四平均值与第四预设系数的第四乘积或第四加和,确定所述第四乘积或第四加和为所述第一替代检测温度。
- 根据权利要求1至6任一项所述的方法,其特征在于,根据所述第一替代检测温度、所述第二替代检测温度以及所述温度传感器阵列中正常工作的温度传感器的检测温度,确定所述室内温度,包括:在第二预设温度分区中,确定所述第一替代检测温度、所述第二替代检测温度以及所述正常工作的温度传感器的检测温度所在的第二温度分区;获得每个第二温度分区中所述第一替代检测温度、所述第二替代检测温度以及所述 正常工作的温度传感器的检测温度的总数量;根据第二温度分区中所述第一替代检测温度、所述第二替代检测温度以及所述正常工作的温度传感器的检测温度的总数量,确定每个第二温度分区的权重;根据所述第一替代检测温度、所述第二替代检测温度以及所述正常工作的温度传感器的检测温度所在的第二温度分区的权重,确定所述第一替代检测温度、所述第二替代检测温度以及所述正常工作的温度传感器的检测温度的权重;根据所述第一替代检测温度、所述第二替代检测温度以及所述正常工作的温度传感器的检测温度的权重,确定所述第一替代检测温度、所述第二替代检测温度以及所述正常工作的温度传感器的检测温度的加权平均值;根据所述加权平均值确定所述室内温度。
- 根据权利要求7所述的方法,其特征在于,根据所述加权平均值确定所述室内温度,包括:确定所述加权平均值为所述室内温度;或者,获得所述加权平均值与第五预设系数的第五乘积或第五加和,确定所述第五乘积或第五加和为所述室内温度。
- 一种用于检测室内温度的装置,包括处理器和存储有程序指令的存储器,其特征在于,所述处理器被配置为在执行所述程序指令时,执行如权利要求1至8任一项所述的用于检测室内温度的方法。
- 一种智能空调,其特征在于,包括如权利要求9所述的用于检测室内温度的装置。
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110580573.6 | 2021-05-26 | ||
CN202110580573.6A CN113339970B (zh) | 2021-05-26 | 2021-05-26 | 用于检测室内温度的方法、装置和智能空调 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2022247333A1 true WO2022247333A1 (zh) | 2022-12-01 |
Family
ID=77472173
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/CN2022/074020 WO2022247333A1 (zh) | 2021-05-26 | 2022-01-26 | 用于检测室内温度的方法, 装置和智能空调 |
Country Status (2)
Country | Link |
---|---|
CN (1) | CN113339970B (zh) |
WO (1) | WO2022247333A1 (zh) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113339970B (zh) * | 2021-05-26 | 2022-04-15 | 青岛海尔空调器有限总公司 | 用于检测室内温度的方法、装置和智能空调 |
US11761661B2 (en) * | 2021-12-02 | 2023-09-19 | Johnson Controls Tyco IP Holdings LLP | Systems and methods for operating an HVAC system |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105423482A (zh) * | 2015-10-30 | 2016-03-23 | 四川长虹电器股份有限公司 | 一种温度检测方法及空调 |
CN107166638A (zh) * | 2017-05-09 | 2017-09-15 | 广东美的暖通设备有限公司 | 温度传感器的故障检测方法、检测装置和多联式空调*** |
WO2018092258A1 (ja) * | 2016-11-18 | 2018-05-24 | 三菱電機株式会社 | 空気調和機および空気調和システム |
CN109323364A (zh) * | 2018-09-30 | 2019-02-12 | 广东美的制冷设备有限公司 | 空调***及其换热器的故障检测方法 |
CN110501094A (zh) * | 2019-09-05 | 2019-11-26 | 珠海格力电器股份有限公司 | 电器温度传感器的故障检测校准方法、空调器及计算机可读存储介质 |
CN111089397A (zh) * | 2019-12-11 | 2020-05-01 | 於晓明 | 空调多点无源温度检测控制***及方法 |
CN112066517A (zh) * | 2020-09-18 | 2020-12-11 | 珠海格力电器股份有限公司 | 温度检测装置的传动机构的故障检测方法、空调 |
CN112178869A (zh) * | 2020-09-29 | 2021-01-05 | 青岛海尔空调器有限总公司 | 用于空调器的故障检测的方法及装置、空调器 |
CN113339970A (zh) * | 2021-05-26 | 2021-09-03 | 青岛海尔空调器有限总公司 | 用于检测室内温度的方法、装置和智能空调 |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE69919645T2 (de) * | 1998-09-03 | 2005-09-15 | Fuji Photo Film Co., Ltd., Minami-Ashigara | Einrichtung zur thermischen Behandlung und damit erzeugte Wärmeentwicklungseinrichtung |
CN101266273B (zh) * | 2008-05-12 | 2010-11-24 | 徐立军 | 一种多传感器***故障自诊断方法 |
JP5969950B2 (ja) * | 2012-04-20 | 2016-08-17 | 富士フイルム株式会社 | 放射線画像検出装置及び放射線撮影システム |
CN107101662B (zh) * | 2017-03-17 | 2019-05-14 | 中国科学院声学研究所 | 故障检测方法及*** |
-
2021
- 2021-05-26 CN CN202110580573.6A patent/CN113339970B/zh active Active
-
2022
- 2022-01-26 WO PCT/CN2022/074020 patent/WO2022247333A1/zh active Application Filing
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105423482A (zh) * | 2015-10-30 | 2016-03-23 | 四川长虹电器股份有限公司 | 一种温度检测方法及空调 |
WO2018092258A1 (ja) * | 2016-11-18 | 2018-05-24 | 三菱電機株式会社 | 空気調和機および空気調和システム |
CN107166638A (zh) * | 2017-05-09 | 2017-09-15 | 广东美的暖通设备有限公司 | 温度传感器的故障检测方法、检测装置和多联式空调*** |
CN109323364A (zh) * | 2018-09-30 | 2019-02-12 | 广东美的制冷设备有限公司 | 空调***及其换热器的故障检测方法 |
CN110501094A (zh) * | 2019-09-05 | 2019-11-26 | 珠海格力电器股份有限公司 | 电器温度传感器的故障检测校准方法、空调器及计算机可读存储介质 |
CN111089397A (zh) * | 2019-12-11 | 2020-05-01 | 於晓明 | 空调多点无源温度检测控制***及方法 |
CN112066517A (zh) * | 2020-09-18 | 2020-12-11 | 珠海格力电器股份有限公司 | 温度检测装置的传动机构的故障检测方法、空调 |
CN112178869A (zh) * | 2020-09-29 | 2021-01-05 | 青岛海尔空调器有限总公司 | 用于空调器的故障检测的方法及装置、空调器 |
CN113339970A (zh) * | 2021-05-26 | 2021-09-03 | 青岛海尔空调器有限总公司 | 用于检测室内温度的方法、装置和智能空调 |
Also Published As
Publication number | Publication date |
---|---|
CN113339970A (zh) | 2021-09-03 |
CN113339970B (zh) | 2022-04-15 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
WO2022247333A1 (zh) | 用于检测室内温度的方法, 装置和智能空调 | |
WO2022242231A1 (zh) | 用于检测室内温度的方法、装置和智能空调 | |
WO2022242223A1 (zh) | 用于检测室内温度的方法、装置和智能空调 | |
CN106123255B (zh) | 空调控制方法及空调 | |
CN113864991B (zh) | 空调器室内环境温度的修正方法、装置以及空调器 | |
CN110207784A (zh) | 变压器油位告警方法、装置及终端设备 | |
CN104075749A (zh) | 物联网中设备异常状态检测的方法及*** | |
EP1630635A2 (en) | Method and apparatus for improved fault detection in power generation equipment | |
CN106642584A (zh) | 一种空调运行的控制方法及装置 | |
WO2022242224A1 (zh) | 用于检测室内温度的方法、装置和智能空调 | |
CN110878983B (zh) | 空调故障的确定方法和装置 | |
CN104930643A (zh) | 房间立体温度图像的检测***以及控制方法 | |
CN116108604A (zh) | 一种供水管网异常检测方法、***、设备及存储介质 | |
WO2022233159A1 (zh) | 用于检测室内温度的方法、装置和智能空调 | |
CN107943652B (zh) | 一种存储***中的硬盘控制方法、装置及可读存储介质 | |
WO2022227523A1 (zh) | 用于检测室内温度的方法、装置和智能空调 | |
CN111565201B (zh) | 一种基于多属性的工业互联网安全评估方法及*** | |
CN112164414B (zh) | 一种测试存储设备稳定性的方法及组件 | |
CN108012235B (zh) | 一种基于热点组的定位方法和装置 | |
CN114838968B (zh) | 一种基于冷水水冷测试的空调故障检测方法及*** | |
TW202122826A (zh) | 測距裝置、測距方法和校正訊號功率之方法 | |
CN104748319A (zh) | 多机组空调***控制方法、装置和多机组空调*** | |
CN109186044A (zh) | 一种人体感知方法、装置及空调器 | |
CN113641163B (zh) | 环控设备的自组态方法、***、计算机设备及存储介质 | |
JP2020153575A (ja) | 冷媒量推定装置、方法、およびプログラム |
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: 22810070 Country of ref document: EP Kind code of ref document: A1 |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
122 | Ep: pct application non-entry in european phase |
Ref document number: 22810070 Country of ref document: EP Kind code of ref document: A1 |