WO2018214001A1 - 环境调节方法、及服务器 - Google Patents

环境调节方法、及服务器 Download PDF

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Publication number
WO2018214001A1
WO2018214001A1 PCT/CN2017/085387 CN2017085387W WO2018214001A1 WO 2018214001 A1 WO2018214001 A1 WO 2018214001A1 CN 2017085387 W CN2017085387 W CN 2017085387W WO 2018214001 A1 WO2018214001 A1 WO 2018214001A1
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Prior art keywords
target
state
parameter
matrix
determining
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PCT/CN2017/085387
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English (en)
French (fr)
Inventor
谢毅
张鹏程
张晴晴
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深圳微自然创新科技有限公司
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Application filed by 深圳微自然创新科技有限公司 filed Critical 深圳微自然创新科技有限公司
Priority to CN201780002975.XA priority Critical patent/CN109073253B/zh
Priority to PCT/CN2017/085387 priority patent/WO2018214001A1/zh
Publication of WO2018214001A1 publication Critical patent/WO2018214001A1/zh

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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00—Systems controlled by a computer
    • G05B15/02—Systems controlled by a computer electric

Definitions

  • the present invention relates to the field of smart homes, and in particular, to an environment adjustment method and a server.
  • the way to control the expected performance of household appliances is to try again and again until the desired effect is achieved. For example, if the user thinks that the current comfortable temperature is 26 degrees Celsius, the user can adjust the temperature of the air conditioner to 26 degrees Celsius through the remote controller, and set the mode and wind speed of the air conditioner. When the temperature of the air conditioner reaches 26 degrees Celsius, the temperature is not maintained. The 26 degrees Celsius corresponding to the air conditioner may not be the temperature expected by the user, and the user needs to reset the temperature again. In this way, it is difficult for the user to adjust the indoor temperature to the expected state at one time, and it is difficult to find a more ideal adjustment mode, which results in the indoor environment not being able to quickly achieve the desired effect, and the power consumption is large.
  • Embodiments of the present invention provide an environment adjustment method and a server for quickly adjusting an indoor environment to an expected state.
  • An embodiment of the present invention provides an environment adjustment method, including:
  • the first row element of the target matrix being a parameter value corresponding to at least two operation sets selectable to adjust the target region from the first state to the target state, the parameter The greater the value, the higher the likelihood that the target region will be adjusted from the first state to the target state, the set of operations including at least one type of adjustment operation;
  • determining a target operation set to be selected according to the target matrix determining a target operation set to be selected according to the target matrix, generating a corresponding control instruction, and transmitting the control instruction to the environment adjustment device, the control instruction instructing the environment adjustment device to perform the The action specified by the target action collection;
  • the target matrix is updated using the target value.
  • the second embodiment of the present invention provides a server, including:
  • An acquiring unit configured to acquire a current outdoor environment parameter of the target area and an indoor environment parameter, where the indoor environment parameter represents a first state in which the target area is currently located;
  • a determining unit configured to determine a target indoor environment parameter corresponding to the outdoor environment parameter, the target indoor environment parameter characterizing a target state of the target area;
  • a matrix construction unit configured to construct a target matrix, where a first row element of the target matrix is a parameter value corresponding to at least two operation sets selectable to adjust the target region from the first state to the target state The greater the parameter value, the higher the probability that the target region is adjusted from the first state to the target state, the operation set including at least one type of adjustment operation;
  • the determining unit is further configured to determine, by using a preset policy selection mechanism, a target operation set to be selected according to the target matrix;
  • a generating unit configured to generate, according to the target operation set, a corresponding control instruction, where the control instruction instructs the environment adjustment apparatus to perform an operation specified by the target operation set;
  • a sending unit configured to send the control instruction to the environment adjusting device
  • the determining unit is further configured to determine that the target area does not reach the target state; and is further configured to determine that the target area reaches the target state;
  • a calculating unit configured to calculate the target operation set according to a second state, the first state, and the target state in which the target area is currently located, if it is determined that the target area does not reach the target state Corresponding target value;
  • An update unit for updating the target matrix using the target value is
  • the third embodiment of the present invention further provides a server, including: a processor, a receiver, a transmitter, and a memory; an executable program is stored in the memory; and the processor implements the foregoing by executing the executable program.
  • a server including: a processor, a receiver, a transmitter, and a memory; an executable program is stored in the memory; and the processor implements the foregoing by executing the executable program.
  • the embodiments of the present invention have the following beneficial effects: acquiring current outdoor environmental parameters and indoor environmental parameters of the target area, determining target indoor environmental parameters corresponding to the outdoor environmental parameters, and determining the thermal comfort zone of the target area in different outdoor environments. Corresponding environmental parameters; constructing a target matrix, and adopting a preset policy selection mechanism to select a corresponding operation set according to the target matrix, wherein the first row element of the target matrix is at least adjustable to adjust the indoor environment from the first state to the target state.
  • the parameter values corresponding to the two operation sets; the algorithm of the reinforcement learning is used to continuously optimize the target matrix, and the operation set is determined according to the optimized target matrix, so that the indoor environment can quickly reach the target state.
  • FIG. 1 is a schematic flow chart of an environment adjustment method according to an embodiment of the present invention.
  • FIG. 2 is a schematic diagram of constructing a target matrix according to an embodiment of the present invention.
  • FIG. 4 is a schematic structural diagram of a server according to an embodiment of the present invention.
  • FIG. 5 is a schematic structural diagram of a server according to an embodiment of the present invention.
  • FIG. 1 is a schematic diagram of an indoor environment adjustment method according to an embodiment of the present invention, including:
  • the indoor environment parameter characterizes a first state in which the target area is currently located, and the target indoor environment parameter represents a target state of the target area.
  • the server obtains current outdoor environment parameters and indoor environment parameters of the target area.
  • the above target area may be an indoor area, for example, it may be an office Room, indoor court, indoor swimming pool, an office area, a family room, inside the car, inside the aircraft, inside the ship, etc.
  • the above outdoor environmental parameters may be temperature, humidity, light intensity, and the like.
  • the indoor environmental parameters may be temperature, humidity, indoor wind speed, and the like.
  • the server may pre-store indoor environment parameters in the target area preset time period, and the indoor environment parameters may be measured by sensors located in the target area, or may be acquired from other servers.
  • the server may collect the indoor environment parameter of the target area by using a sensor located in the target area, and acquire the current outdoor environment parameter of the target area from the target server, and store the same.
  • the sensor located in the target area may periodically upload the collected indoor environment parameters to the server, and the server may obtain the outdoor environment parameter of the target area from an application programming interface given by the weather network or Yahoo.
  • the server may store the outdoor environment parameters and the indoor environment parameters at the same time in the target area.
  • a method for determining a target indoor environment parameter corresponding to an outdoor environment parameter of a target area includes: :
  • Target level sequence corresponding to the outdoor environment parameter, where the target level sequence includes a level corresponding to at least two of the outdoor environment parameters
  • the outdoor environment parameters can be classified according to the following methods, as follows:
  • Outdoor temperature 0°C-5°C, 6°C-10°C, 11°C-15°C, 16°C-20°C, 20°C-25°C ⁇
  • the corresponding grades are 1,2,3,4,5 ⁇ ⁇ , (5 °C interval, to the outdoor temperature difference that can affect the indoor temperature The interval shall prevail);
  • Outdoor humidity 0-40%, 41-70%, 71-100% corresponds to 1, 2, 3 grade (divided by dry, comfortable, wet);
  • 0-100lx, 101-1000lx, 1001lx or above corresponds to 1, 2, 3 grade (divided by low light, comfort, glare).
  • the outdoor environmental parameters (12 ° C, 70%, 150 lx) indicate that the outdoor temperature is 12 ° C, the outdoor humidity is 70%, the indoor illumination is 150 lx, and the corresponding level sequence is (3, 2, 2).
  • the specific method for determining the target level sequence corresponding to the outdoor environment parameter may be determining the parameter range in which each parameter is located, and determining the level corresponding to each parameter according to the parameter range in which the parameters are located, to obtain the target level sequence.
  • Each level sequence corresponds to at least two outdoor environment parameters.
  • the range of parameters corresponding to the grade sequence (3, 2, 2) is (11 ° C - 15 ° C, 41-70%, 101 - 1000 lx), that is, the outdoor temperature is between 11 ° C and 15 ° C, and the outdoor humidity is at 41-70. %
  • the outdoor environment parameters of indoor lighting at 101-1000 lx correspond to the level sequence (3, 2, 2).
  • each level sequence may be divided into a series of ranks corresponding to a smaller parameter range.
  • the determining the at least two indoor environment parameters corresponding to the at least two outdoor environment parameters may be determining that the indoor environment parameter obtained by the target area under the at least two outdoor environmental parameters is the at least two outdoor environmental parameters. Corresponding to the above at least indoor environmental parameters.
  • the outdoor environment parameters (12 ° C, 70%, 150 lx) correspond to a sequence of (3, 2, 2), and are located within (11 ° C - 15 ° C, 41-70%, 101-1000 lx)
  • the indoor environmental parameters corresponding to the outdoor environmental parameters are indoor environmental parameters corresponding to the outdoor environmental parameters (12 ° C, 70%, 150 lx).
  • the indoor environment parameters can be classified according to the following methods, as follows:
  • Indoor wind speed The air conditioning wind speed corresponding to 1, 2, 3, and 0 is low, medium, high, and automatic.
  • the specific method for determining the number of the indoor environment parameters corresponding to the first level sequence and the number of the indoor environment parameters corresponding to the second level sequence in the at least two indoor environmental parameters may be determined by determining each of the indoor environment parameters The rank sequence.
  • indoor environmental parameters 21 ° C, 70%, medium
  • the indoor temperature is 21 ° C
  • the outdoor humidity is 70%
  • the indoor wind speed is medium
  • the corresponding rank sequence is (21, 3, 2)
  • the rank sequence (21
  • the number of indoor environmental parameters corresponding to the five hierarchical sequences is 2, 4, 60, 3, and 1, the number of corresponding indoor parameters is determined to be 60.
  • the environmental parameter range corresponding to the level sequence is the environmental parameter corresponding to the above thermal comfort zone.
  • a method for acquiring a target indoor environment parameter corresponding to an outdoor environment parameter of a target area is provided, and an environmental parameter representing the hot area of the target area can be accurately determined.
  • the first row element of the target matrix is a parameter value corresponding to at least two operation sets selectable to adjust the target area from the first state to the target state, and the larger the parameter value is to adjust the target area from the first state to the first state
  • the above target matrix has at least one row.
  • the first state is a state in which the target area is currently located, for example, (26 ° C, 67%, strong)
  • the first parameter represents the current temperature of the target area
  • the second parameter represents the current humidity of the target area.
  • the third parameter indicates the current indoor wind speed in the above target area.
  • the indoor wind speed can be divided into three levels: weak, medium and strong according to the air-conditioning wind speed intensity.
  • the target state may be an ideal indoor environment state determined according to outdoor environmental parameters. Specifically, the target state may be determined according to a correspondence between an outdoor environment parameter and an indoor environment parameter.
  • the above operation set corresponds to the working state of the environment adjusting device, taking the air conditioner as an example, and the corresponding operation set may be (air conditioning temperature, air conditioning mode, air conditioning wind speed).
  • the air conditioning mode may include cooling, dehumidification, automatic, air supply, heating, and the like.
  • the at least two sets of operations selectable above are the set of operations currently selectable by the environment adjustment device, and may not be limited to the set of operations capable of achieving the target state.
  • the first state is (28 ° C, 60%, strong), and the target state is (22 ° C, 50%, strong)
  • the above selectable at least two sets of operations may be (22 ° C, dehumidification, strong), (21 ° C, dehumidification, strong), (26 ° C, refrigeration, weak), etc., wherein (26 ° C, refrigeration, weak)
  • the operation set cannot make the above indoor environment reach the above target state.
  • the above selectable at least two sets of operations may also be limited to a set of operations capable of achieving the above target state, which may reduce the number of selectable sets of operations and improve the adjustment efficiency.
  • the first state is (28 ° C, 60%, strong)
  • the target state is (22 ° C, 50%, strong)
  • the above selectable at least two operation sets may not be (26 ° C, dehumidification) , weak), etc., because (26 ° C, dehumidification, weak) this set of operations can not make the above indoor environment reach the above target state.
  • the above target matrix may be a Q matrix, and the first state and the target state may be understood as being located in a state set, and the at least two selectable operations may be understood as a set of actions, and the parameter value may be understood as a bonus value.
  • the rows represent different states, and the columns represent different sets of operations.
  • the elements in the matrix are rewards that reach the target state after executing the set of operations represented by the column in which they are located from the state represented by the row in which they are located.
  • the value, ie, the Q value for example, the first row first column element represents a bonus value that performs the first operation set to reach the target state in the first state.
  • determining a target operation set to be selected according to the target matrix generating a corresponding control instruction, and transmitting the control instruction to the environment adjustment device, where the control instruction instructs the environment adjustment device to perform the target operation set.
  • the specified operation determining a target operation set to be selected according to the target matrix, generating a corresponding control instruction, and transmitting the control instruction to the environment adjustment device, where the control instruction instructs the environment adjustment device to perform the target operation set.
  • the above-described environmental conditioning device may be an air conditioner, an air cleaner, a humidifier, a dehumidifier, or the like.
  • two methods for selecting a target operation set are provided, as follows:
  • the foregoing adopting a preset policy selection mechanism, determining, according to the target matrix, the target operation set to be selected includes:
  • the N operation sets corresponding to the N elements having the largest value are filtered out from the first row of the target matrix by the probability ⁇ , and an operation set is randomly selected from the N operation sets as the target operation set.
  • the above N is an integer greater than 1, and the N elements do not include the element having the largest value; and the operation set corresponding to the element having the largest value is selected from the first row by the probability 1- ⁇ as the target operation set.
  • the first method is to select the element corresponding to the largest value from the first row of the target matrix.
  • the operation set is simple in calculation. When the target matrix approaches convergence, there is a large probability to find the best operation set, and the time to adjust the target area to the target state is reduced.
  • the second method is that the probability 1- ⁇ selects an operation set corresponding to the element with the largest value from the first row, and as the target operation set, one of the operation sets of the probability ⁇ random N operation sets is used as the target operation set. There is a certain probability that the parameter value is not the largest operation set, and when the target matrix is far away from convergence, the speed of finding a better operation set is improved.
  • the server may send the control command to the environment adjustment device through a terminal device such as a mobile phone.
  • two methods for selecting a target operation set are proposed, and different selection methods may be used according to the convergence of the target matrix to improve the speed of finding a better operation set.
  • the current outdoor environment parameter and the indoor environment parameter of the target area are obtained, the target indoor environment parameter corresponding to the outdoor environment parameter is determined, and the environment corresponding to the thermal comfort zone of the target area in different outdoor environments is determined.
  • the parameter values corresponding to the set; the algorithm of the reinforcement learning is used to continuously optimize the target matrix, and the operation set is determined according to the optimized target matrix, so that the indoor environment can quickly reach the target state.
  • a method for updating a target matrix is provided, as follows: the foregoing updating the target matrix by using the foregoing target value includes:
  • the Q(s t , a t ) on the left side of the expression is the parameter value corresponding to the target operation set after the target matrix is updated
  • the Q(s t , a t ) on the right side of the expression is the target operation set before the target matrix is updated.
  • the corresponding parameter value, the above ⁇ and the ⁇ are preset constants
  • the R is the target value
  • the maxQ(s t+1 , a) is corresponding to all the operation sets selectable in the second state.
  • the above ⁇ and the above ⁇ are preset constants, and different values can be set according to different problems.
  • the convergence speed of the target matrix can be accelerated, and the time required to reach the target state can be reduced.
  • the method before the determining the target indoor environment parameter corresponding to the outdoor environment parameter, the method further includes:
  • the target indoor environment parameters corresponding to the above outdoor environment parameters are determined as follows:
  • the target indoor environmental parameter corresponding to the outdoor environment parameter is determined according to the above data.
  • the above wearable device may be a smart watch, a smart bracelet, or the like.
  • the above wearable device has a binding relationship with the server.
  • the server may send a data acquisition instruction to the wearable device to instruct the wearable device to send the user's vital sign data such as body temperature, heart rate, pulse, and the like.
  • the wearable device may also send the user's vital sign data to the server according to a certain period, and may also send the user's vital sign data to the server if the target area is located.
  • the server may determine the state of the user located in the target area according to the foregoing data, and further determine the target indoor environment parameter, that is, the environmental parameter corresponding to the user's thermal comfort zone. The thermal comfort zones required by the user in different states are different.
  • the target indoor environment parameter corresponding to the outdoor environment parameter may be determined first, and then the target indoor environment parameter is adjusted according to the current state of the user by using a preset manner.
  • the target indoor environment parameter corresponding to the outdoor environment parameter is calculated to be (22° C., 50%, strong), and the user is detected to be in a sleep state, and the target indoor environment parameter is adjusted to (24° C., 50%, weak). . It can be understood that the target indoor environment parameter can be directly determined according to the above data and the outdoor environment parameter.
  • the target indoor environment parameter corresponding to the target area may be determined according to the current state of the user, which is more accurate and improves the user experience.
  • a method for constructing a target matrix includes:
  • An optional method is to acquire the parameter value corresponding to the at least two operation sets that are selectable from the first state to the target state by using the target matrix that has been saved by the server, and construct the target matrix.
  • a matrix closest to the first state may be selected from the matrix that has been saved by the server as the target matrix.
  • Another optional method is to determine the parameter value corresponding to the at least two operation sets that are selectable according to the relationship between the at least two operation sets that are selectable in the first state and the target state, and construct the target matrix.
  • the above set of operations includes at least one parameter representing the final state.
  • a set of operations is (26 ° C, dehumidified, strong), where 26 ° C is the final state of the temperature corresponding to the set of operations. For example, as shown in FIG.
  • the current temperature is 18 ° C
  • the target temperature is 21 ° C
  • the temperature in the operation set of different columns is different, such as the temperature in the operation group corresponding to the first column is 17 ° C
  • the second column The temperature in the corresponding operation set is 18 ° C, and so on, it can be seen that the temperature corresponding to the operation set and the target temperature are closer to the parameter value.
  • a method for constructing a target matrix which can accelerate the convergence speed of the target matrix and reduce the time required to reach the target state.
  • An embodiment of the present invention provides another environment adjustment method, as shown in FIG. 3, including:
  • the target indoor environmental parameter characterizes the target state of the target area.
  • the environmental parameter corresponding to the thermal comfort zone of the target area is determined according to the correspondence between the outdoor environment parameter of the target area and the indoor environment parameter and the physical sign data of the user; and the environment adjustment device is continuously learned by using the algorithm of reinforcement learning. The characteristics and its relationship with the target area and the user can be quickly adjusted to the user's comfortable state by the environment adjustment device.
  • An embodiment of the present invention provides a server, as shown in FIG. 4, including:
  • the obtaining unit 401 is configured to acquire a current outdoor environment parameter and an indoor environment parameter of the target area, where the indoor environment parameter represents a first state in which the target area is currently located;
  • a determining unit 402 configured to determine a target indoor environment parameter corresponding to the outdoor environment parameter, where the target indoor environment parameter represents a target state of the target area;
  • a matrix construction unit 403 configured to construct a target matrix, where the first row element of the target matrix is a parameter value corresponding to at least two operation sets selectable by adjusting the target region from the first state to the target state, the parameter The greater the value, the higher the probability that the target area is adjusted from the first state to the target state, and the operation set includes at least one type of adjustment operation;
  • the determining unit 402 is further configured to determine, by using a preset policy selection mechanism, a target operation set to be selected according to the target matrix;
  • the generating unit 404 is configured to generate a corresponding control instruction according to the target operation set, where the control instruction instructs the environment adjusting device to perform an operation specified by the target operation set;
  • the sending unit 405 is configured to send the foregoing control instruction to the environment adjusting device
  • the determining unit 402 is further configured to determine that the target area does not reach the target state, and is further configured to determine that the target area reaches the target state;
  • the calculating unit 406 is configured to: when determining that the target area does not reach the target state, calculate a target value corresponding to the target operation set according to the second state, the first state, and the target state that the target area is currently located;
  • the updating unit 407 is configured to update the target matrix by using the target value.
  • the acquiring unit 401 is further configured to acquire data in the wearable device located in the target area;
  • the determining unit 402 is specifically configured to determine a target indoor environment parameter corresponding to the outdoor environment parameter according to the foregoing data.
  • the target indoor environment parameter corresponding to the target area may be determined according to the current state of the user, which is more accurate.
  • a method for determining a target indoor environment parameter corresponding to an outdoor environment parameter of a target area is provided, which is specifically as follows: the determining unit 402 is specifically configured to determine that the outdoor environment parameter corresponds to a target level sequence, the target level sequence includes a level corresponding to at least two of the outdoor environment parameters; determining at least two outdoor environment parameters corresponding to the target level sequence, determining that the at least two outdoor environment parameters correspond to At least two indoor environmental parameters; determining a number of indoor environmental parameters corresponding to the first level sequence among the at least two indoor environmental parameters and a number of indoor environmental parameters corresponding to the second level sequence, the first level sequence And the second level sequence includes a level corresponding to at least two parameters of the indoor environment parameter; and the number of indoor environment parameters corresponding to the first level sequence is greater than the number of indoor environment parameters corresponding to the second level sequence Next, determining the ring corresponding to the first level sequence Parameters for the above-mentioned target indoor environmental parameters.
  • a method for acquiring a target indoor environment parameter corresponding to an outdoor environment parameter of a target area is provided, and an environmental parameter representing the hot area of the target area can be accurately determined.
  • a method for constructing a target matrix is provided, as follows:
  • the matrix construction unit 403 is specifically configured to acquire the target area from the first state Constructing the target matrix according to the parameter values corresponding to the at least two operation sets that are selectable by the foregoing target state;
  • determining, according to the relationship between the at least two operation sets that are selectable in the first state and the target state, the parameter values corresponding to the at least two operation sets that are selectable, and constructing the target matrix, where the foregoing may be The state specified by the selected at least two operation sets is closer to the above target state as the corresponding parameter value is larger.
  • a method for constructing a target matrix which can accelerate the convergence speed of the target matrix and reduce the time required to reach the target state.
  • the determining unit 402 is specifically configured to select an operation set corresponding to an element with the largest value from the first row of the target matrix. , as the above target operation set;
  • the probability ⁇ to filter the N operation sets corresponding to the N elements having the largest value from the first row of the target matrix, and randomly selecting an operation set from the N operation sets as the target.
  • the above N is an integer greater than 1, and the N elements do not include the element having the largest value; and the operation set corresponding to the element having the largest value is selected from the first row by the probability 1- ⁇ as the target operation set.
  • two methods for selecting a target operation set are proposed, and different methods may be selected according to the convergence of the target matrix, which may improve the speed of finding a better operation set.
  • a method for updating a target matrix is provided, as follows:
  • the update unit 407 is specifically configured to update the target matrix by using the following formula:
  • the Q(s t , a t ) on the left side of the expression is the parameter value corresponding to the target operation set after the target matrix is updated
  • the Q(s t , a t ) on the right side of the expression is the target operation set before the target matrix is updated.
  • the corresponding parameter value, the above ⁇ and the ⁇ are preset constants
  • the R is the target value
  • the maxQ(s t+1 , a) is corresponding to all the operation sets selectable in the second state. The largest parameter value among the individual parameter values.
  • the convergence speed of the target matrix can be accelerated, and the time required for the target area to reach the target state can be reduced.
  • FIG. 5 is a server according to an embodiment of the present invention.
  • the server includes a processor 501, a memory 502, a receiver 503, and a transmitter 504.
  • the receiver 503 and the transmitter 504 can be connected by a bus or other means.
  • Memory 502 includes, but is not limited to, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM or flash memory), or portable read only memory (CD-ROM), Memory 502 is used for related instructions and data.
  • RAM random access memory
  • ROM read only memory
  • EPROM erasable programmable read only memory
  • CD-ROM portable read only memory
  • the indoor environment parameter represents a first state in which the target area is currently located, and the target indoor environment parameter represents the above a target state of the target area;
  • the first row element of the target matrix is a parameter value corresponding to at least two operation sets selectable from the first state to the target state, and the parameter value is The greater the possibility that the target area is adjusted from the first state to the target state, the operation set includes at least one type of adjustment operation; and the preset policy selection mechanism is used to determine the target to be selected according to the target matrix.
  • the method before the determining the target indoor environment parameter corresponding to the outdoor environment parameter, the method further includes:
  • the target indoor environment parameters corresponding to the above outdoor environment parameters are determined as follows:
  • the target indoor environmental parameter corresponding to the outdoor environment parameter is determined according to the above data.
  • the target indoor corresponding to the target area may be determined according to the current state of the user. Environmental parameters are more accurate.
  • a method for determining an indoor environment parameter corresponding to an outdoor environment parameter of a target area where the processor 501 is specifically configured to determine a target corresponding to the outdoor environment parameter.
  • the target level sequence includes a level corresponding to at least two of the outdoor environment parameters; determining at least two outdoor environment parameters corresponding to the target level sequence, and determining at least the at least two outdoor environment parameters Two indoor environmental parameters; determining a number of indoor environmental parameters corresponding to the first hierarchical sequence among the at least two indoor environmental parameters; and a number of indoor environmental parameters corresponding to the second hierarchical sequence, the first hierarchical sequence and the foregoing
  • the second level sequence includes a level corresponding to at least two parameters of the indoor environment parameter; if the number of indoor environment parameters corresponding to the first level sequence is greater than the number of indoor environment parameters corresponding to the second level sequence, Determining the range of environmental parameters corresponding to the first level sequence Above the target indoor environmental parameters.
  • a method for acquiring a target indoor environment parameter corresponding to an outdoor environment parameter of a target area is provided, and an environmental parameter representing the hot area of the target area can be accurately determined.
  • a method for constructing a target matrix is provided, which is specifically as follows: the processor 501 is specifically configured to acquire the at least two selected by adjusting the target area from the first state to the target state. Determining the target matrix corresponding to the operation set, or constructing the target matrix; or specifically, determining, according to the relationship between the at least two operation sets selectable in the first state and the target state, determining the at least two selectable The target parameter matrix corresponding to the operation set is constructed to construct the target matrix, and the state specified by the at least two selectable operation sets and the target state are closer to the corresponding parameter value.
  • a method for constructing a target matrix which can accelerate the convergence speed of the target matrix and reduce the time required for the target region to reach the target state.
  • two methods for selecting a target operation set are provided, as follows:
  • the processor 501 is specifically configured to select an operation set corresponding to an element with the largest value from the first row of the target matrix. As the above target operation set;
  • the N operation sets corresponding to the N elements having the largest value are filtered out from the first row of the target matrix by the probability ⁇ , and an operation set is randomly selected from the N operation sets as the target operation set.
  • the above N is an integer greater than 1, and the above N elements do not include a numerical value.
  • the largest element; the operation set corresponding to the element having the largest value is selected from the first row by the probability 1- ⁇ as the target operation set.
  • a method for updating a target matrix is provided, as follows:
  • the processor 501 is specifically configured to update the target matrix by using the following formula:
  • the Q(s t , a t ) on the left side of the expression is the parameter value corresponding to the target operation set after the target matrix is updated
  • the Q(s t , a t ) on the right side of the expression is the target operation set before the target matrix is updated.
  • the corresponding parameter value, the above ⁇ and the ⁇ are preset constants
  • the R is the target value
  • the maxQ(s t+1 , a) is corresponding to all the operation sets selectable in the second state. The largest parameter value among the individual parameter values.
  • the convergence speed of the target matrix can be accelerated, and the time required to reach the target state can be reduced.

Abstract

本发明实施例涉及智能家居领域，公开了一种环境调节方法、及服务器，该方法包括：获取目标区域当前的室外环境参数以及室内环境参数，确定与所述室外环境参数相对应的目标室内环境参数；构建目标矩阵；采用预置的策略选择机制，依据所述目标矩阵确定所要选择的目标操作集合，生成相应的控制指令，向环境调节装置发送所述控制指令；在确定所述目标区域未达到所述目标状态的情况下，计算所述目标操作集合对应的目标值，使用所述目标值更新所述目标矩阵；在确定所述目标区域达到所述目标状态后，停止更新所述目标矩阵。本发明实施例中的方案，可以将目标区域的室内环境快速地调节到预期的状态。

Description

环境调节方法、及服务器 技术领域
本发明涉及智能家居领域，尤其涉及一种环境调节方法、及服务器。
背景技术
目前，人们经常使用家用电器如空调、空气净化器等去调控室内环境，由于人们不能完全了解这些家用电器的特性，导致人们在使用的过程中不清楚如何控制这些家用电器快速地达到自己想要的效果。如今，控制家用电器达到预期效果的方式是一次次的进行尝试，直到达到预期的效果。举例来说，用户认为当前舒适的温度为26摄氏度，该用户可以通过遥控器将空调的温度调到26摄氏度，并设置该空调的模式和风速，当该空调的温度达到26摄氏度后保持温度不变，该空调对应的26摄氏度可能不是用户预期的温度，这时用户需要再重新设置温度。通过这种方式，用户难以一次将室内温度调节到预期的状态，也很难找到较理想的调节方式，导致室内环境不能快速地达到预期的效果，耗电量大。
在实际应用中，采用上述技术方案，难以将室内环境快速地调节到预期的状态。
发明内容
本发明实施例提供一种环境调节方法、及服务器，用于将室内环境快速地调节到预期的状态。
一方面本发明实施例提供了一种环境调节方法，包括：
获取目标区域当前的室外环境参数以及室内环境参数，确定与所述室外环境参数相对应的目标室内环境参数，所述室内环境参数表征所述目标区域当前所处的第一状态，所述目标室内环境参数表征所述目标区域的目标状态；
构建目标矩阵，所述目标矩阵的第一行元素为将所述目标区域从所述第一状态调整到所述目标状态可选择的至少两个操作集合所对应的参数值，所述参 数值越大将所述目标区域从所述第一状态调整到所述目标状态的可能性越高，所述操作集合包括至少一种类型的调节操作；
采用预置的策略选择机制，依据所述目标矩阵确定所要选择的目标操作集合，生成相应的控制指令，向环境调节装置发送所述控制指令，所述控制指令指示所述环境调节装置执行所述目标操作集合所指定的操作；
在确定所述目标区域未达到所述目标状态的情况下，依据所述目标区域当前所处的第二状态、所述第一状态以及所述目标状态计算所述目标操作集合对应的目标值，使用所述目标值更新所述目标矩阵。
二方面本发明实施例提供了一种服务器，包括：
获取单元，用于获取目标区域当前的室外环境参数以及室内环境参数，所述室内环境参数表征所述目标区域当前所处的第一状态；
确定单元，用于确定与所述室外环境参数相对应的目标室内环境参数，所述目标室内环境参数表征所述目标区域的目标状态；
矩阵构建单元，用于构建目标矩阵，所述目标矩阵的第一行元素为将所述目标区域从所述第一状态调整到所述目标状态可选择的至少两个操作集合所对应的参数值，所述参数值越大将所述目标区域从所述第一状态调整到所述目标状态的可能性越高，所述操作集合包括至少一种类型的调节操作；
所述确定单元，还用于采用预置的策略选择机制，依据所述目标矩阵确定所要选择的目标操作集合；
生成单元，用于依据所述目标操作集合生成相应的控制指令，所述控制指令指示所述环境调节装置执行所述目标操作集合所指定的操作；
发送单元，用于向环境调节装置发送所述控制指令；
所述确定单元，还用于确定所述目标区域未达到所述目标状态的情况；还用于确定所述目标区域达到所述目标状态；
计算单元，用于在确定所述目标区域未达到所述目标状态的情况下，依据所述目标区域当前所处的第二状态、所述第一状态以及所述目标状态计算所述目标操作集合对应的目标值；
更新单元，用于使用所述目标值更新所述目标矩阵。
三方面本发明实施例还提供了一种服务器，包括：处理器、接收器、发送器以及存储器；在所述存储器中存储有可执行程序；所述处理器通过执行所述可执行程序实现前述一方面提供的任意一项的方法。
本发明实施例具有以下有益效果：获取目标区域当前的室外环境参数以及室内环境参数，确定与该室外环境参数相对应的目标室内环境参数，确定该目标区域在不同室外环境下的热舒适区所对应的环境参数；构建目标矩阵，采用预置的策略选择机制依据该目标矩阵选择相应的操作集合，该目标矩阵的第一行元素为将室内环境从第一状态调整到目标状态可选择的至少两个操作集合所对应的参数值；使用强化学习的算法不断优化该目标矩阵，并依据优化后的目标矩阵确定操作集合，可以使得室内环境快速地达到目标状态。
附图说明
为了更清楚地说明本发明实施例中的技术方案，下面将对本发明实施例或背景技术中所需要使用的附图进行说明。
图1是本发明实施例提供的一种是环境调节方法流程示意图；
图2是本发明实施例构建目标矩阵的示意图；
[根据细则91更正 07.06.2018]　
图3是本发明实施例提供的另一种是环境调节方法流程示意图；
图4是本发明实施例服务器结构示意图；
图5是本发明实施例服务器结构示意图。
具体实施方式
下面结合本发明实施例中的附图对本发明实施例进行描述。
请参见图1，图1是本发明实施例提供的一种室内环境调节的方法，包括：
101、获取目标区域当前的室外环境参数以及室内环境参数，确定与上述室外环境参数相对应的目标室内环境参数；
上述室内环境参数表征上述目标区域当前所处的第一状态，上述目标室内环境参数表征上述目标区域的目标状态。服务器获取目标区域当前的室外环境参数以及室内环境参数。上述目标区域可以是某个室内区域，例如可以是办公 室、室内球场、室内游泳场、某个办公区域、某个家庭的房间、车内、飞机内、船内等。上述室外环境参数可以是温度、湿度、光照强度等。上述室内环境参数可以是温度、湿度、室内风速等。
上述服务器可以预先存储有上述目标区域预置时间段内的室内环境参数，这些室内环境参数可以是通过位于上述目标区域内的传感器测量得到的，也可以是从其他服务器获取的。上述服务器可以通过位于上述目标区域内的传感器采集上述目标区域的室内环境参数，从目标服务器获取目标区域当前的上述室外环境参数，并进行存储。举例来说，位于上述目标区域内的传感器可以周期性的将采集到的室内环境参数上传到上述服务器，上述服务器可以从天气网或者雅虎给予的应用程序编程接口获得上述目标区域的室外环境参数。上述服务器可以将上述目标区域同一时间的室外环境参数与室内环境参数存储到一起。
在一种可选的实现方式中，提供了一种确定与目标区域的室外环境参数相对应的目标室内环境参数的方法，具体如下：上述确定与上述室外环境参数相对应的目标室内环境参数包括：
确定上述室外环境参数所对应的目标等级序列，上述目标等级序列包含上述室外环境参数中的至少两项参数所对应的等级；
确定与上述目标等级序列相对应的至少两个室外环境参数，确定上述至少两个室外环境参数对应的至少两个室内环境参数；
确定上述至少两个室内环境参数中与第一等级序列相对应的室内环境参数的数目以及与第二等级序列相对应的室内环境参数的数目，上述第一等级序列和上述第二等级序列均包含室内环境参数中的至少两项参数所对应的等级；
在上述第一等级序列对应的室内环境参数的数目大于上述第二等级序列对应的室内环境参数的数目的情况下，确定上述第一等级序列对应的环境参数范围为上述目标室内环境参数。
作为一个举例，室外环境参数可以按照下面的方式进行等级划分，具体如下：
室外温度：0℃-5℃，6℃-10℃，11℃-15℃，16℃-20℃，20℃-25℃···对应的等级分别为1，2，3，4，5···,(5℃间隔，以可影响室内温度的室外温差 间隔为准)；
室外湿度：0-40％，41-70％，71-100％对应1，2，3等级(以干燥、舒适、潮湿划分)；
室内光照：0-100lx，101-1000lx，1001lx以上对应1，2，3等级(以弱光，舒适，强光划分)。
例如室外环境参数(12℃，70％，150lx)表示室外温度为12℃、室外湿度为70％、室内光照为150lx，其对应的等级序列为(3，2，2)。
上述确定上述室外环境参数所对应的目标等级序列的具体方法可以是先确定各个参数所处的参数范围，再依据各个参数所处的参数范围确定各个参数对应的等级，得到上述目标等级序列。每个等级序列对应至少两个室外环境参数。例如等级序列(3，2，2)对应的参数范围为(11℃-15℃，41-70％，101-1000lx)，即室外温度处于11℃-15℃，且室外湿度处于为41-70％，且室内光照处于101-1000lx的室外环境参数均与等级序列(3，2，2)相对应。
上述室外环境参数也可以按照其他方式进行等级划分，例如可以将每个等级序列划分为对应的参数范围更小的等级数列。
上述确定上述至少两个室外环境参数相对应的至少两个室内环境参数具体可以是确定上述目标区域在上述至少两个室外环境参数下，获取到的室内环境参数为与上述至少两个室外环境参数相对应的上述至少室内环境参数。
举例来说，室外环境参数(12℃，70％，150lx)对应的等级序列为(3，2，2)，与位于(11℃-15℃，41-70％，101-1000lx)范围内的室外环境参数相对应的室内环境参数是与室外环境参数(12℃，70％，150lx)相对应的室内环境参数。
作为一个举例，室内环境参数可以按照下面的方式进行等级划分，具体如下：
室内温度：17℃，18℃，19℃···30℃，(1℃间隔，四舍五入，以人的实际感受为准)；
室内湿度：等级分为1，2，3，4，5分别对应0-40％，41-55％，56-70％，71-85％，86-100％(以人的实际感受及传感器误差为准)；
室内风速：等级分为1，2，3，0分别对应的空调风速为低、中、高、自动。
上述确定上述至少两个室内环境参数中与第一等级序列相对应的室内环境参数的数目以及与第二等级序列相对应的室内环境参数的数目的具体方法可以是确定各个上述室内环境参数所对应的等级序列。这样就可以确定各个等级序列所对应的室内参数的数目。例如室内环境参数(21℃，70％，中)表示室内温度为21℃、室外湿度为70％、室内风速为中，其对应的等级序列为(21，3，2)，该等级序列(21，3，2)对应的参数范围为(21℃，56-70％，中)。举例来说，上述室内环境参数对应的等级序列有5个，这5个等级序列分别对应的室内环境参数的数目为2、4、60、3、1，则确定对应室内参数数目为60的这个等级序列对应的环境参数范围为上述热舒适区对应的环境参数。
本发明实施例中，提供了一种获取与目标区域的室外环境参数相对应的目标室内环境参数的方法，可以准确地确定表征目标区域热舒适区的环境参数。
102、构建目标矩阵；
上述目标矩阵的第一行元素为将上述目标区域从第一状态调整到目标状态可选择的至少两个操作集合所对应的参数值，上述参数值越大将上述目标区域从上述第一状态调整到上述目标状态的可能性越高，上述操作集合包括至少一种类型的调节操作。上述目标矩阵至少有一行。上述第一状态为上述目标区域当前所处的状态，例如可以是(26℃，67％，强)，第一个参数表示上述目标区域当前的温度，第二参数表示上述目标区域当前的湿度，第三个参数表示上述目标区域当前的室内风速。室内风速可以按照空调风速强度划分为弱、中、强三个等级。上述目标状态可以是根据室外环境参数确定的较为理想的室内环境状态。具体的，可以根据室外环境参数与室内环境参数的对应关系确定上述目标状态。
上述操作集合对应环境调节装置的工作状态，以空调为例，其对应的操作集合可以是(空调温度，空调模式，空调风速)。空调模式可以包括制冷、抽湿、自动、送风、制热等。上述可选择的至少两个操作集合是指环境调节装置当前可以选择的操作集合，可以不限定于能够达到上述目标状态的操作集合。举例来说，上述第一状态为(28℃，60％，强)，上述目标状态为(22℃，50％，强)， 上述可选择的至少两个操作集合可以是(22℃，除湿，强)、(21℃，除湿，强)、(26℃，制冷，弱)等，其中(26℃，制冷，弱)这一操作集合不能使上述室内环境达到上述目标状态。上述可选择的至少两个操作集合也可以限定于能够达到上述目标状态的操作集合，这样可以减少可选择的操作集合的数量，提高调节效率。举例来说，上述第一状态为(28℃，60％，强)，上述目标状态为(22℃，50％，强)，上述可选择的至少两个操作集合不可以是(26℃，除湿，弱)等，因为(26℃，除湿，弱)这一操作集合不能使上述室内环境达到上述目标状态。
上述目标矩阵可以是Q矩阵，上述第一状态和上述目标状态可以理解为位于状态集合中，上述可选择的至少两个操作集合可以理解为动作集合，上述参数值可以理解为奖励值。上述目标矩阵中，行表示不同的状态，列表示不同的操作集合，矩阵中的元素为从其所在的行所代表的状态出发执行其所在的列所代表的操作集合后，达到目标状态的奖励值即Q值，例如第一行第一列元素表示在第一状态下执行第一操作集合达到目标状态的奖励值。
103、采用预置的策略选择机制，依据上述目标矩阵确定所要选择的目标操作集合，生成相应的控制指令，向环境调节装置发送上述控制指令，上述控制指令指示上述环境调节装置执行上述目标操作集合所指定的操作；
上述环境调节装置可以是空调、空气净化器、加湿器、除湿器等。
在一种可选的实现方式中，提供了两种选择目标操作集合方法，具体如下：上述采用预置的策略选择机制，依据上述目标矩阵确定所要选择的目标操作集合包括：
从上述目标矩阵的第一行中选择数值最大的元素所对应的操作集合，作为上述目标操作集合；
或者，以概率ε从上述目标矩阵的第一行中筛选出数值最大的N个元素所对应的N个操作集合，并从上述N个操作集合中随机选择一个操作集合，作为上述目标操作集合，上述N为大于1的整数，上述N个元素不包括数值最大的元素；以概率1-ε从上述第一行中选择数值最大的元素所对应的操作集合，作为上述目标操作集合。
第一种方法是从上述目标矩阵的第一行中选择数值最大的元素所对应的 操作集合，这种方法计算简单，在上述目标矩阵接近收敛时，有较大概率找到最好的操作集合，减少将目标区域调整到目标状态的时间。
第二种方法是概率1-ε从上述第一行中选择数值最大的元素所对应的操作集合，作为上述目标操作集合，以概率ε随机N个操作集合中的一个操作集合作为目标操作集合，有一定概率选择参数值不是最大的操作集合，在上述目标矩阵离收敛较远时，提高寻找到较优的操作集合的速度。
上述服务器可以通过终端设备如手机向上述环境调节装置发送上述控制指令。
本发明实施例中，提出了两种选择目标操作集合方法，可以根据目标矩阵的收敛情况，使用不同的选择方法，提高寻找较优的操作集合的速度。
104、在确定上述目标区域未达到上述目标状态的情况下，依据上述目标区域当前所处的第二状态、上述第一状态以及上述目标状态计算上述目标操作集合对应的目标值，使用上述目标值更新上述目标矩阵。
本发明实施例中，获取目标区域当前的室外环境参数以及室内环境参数，确定与该室外环境参数相对应的目标室内环境参数，确定该目标区域在不同室外环境下的热舒适区所对应的环境参数；构建目标矩阵，采用预置的策略选择机制依据该目标矩阵选择相应的操作集合，该目标矩阵的第一行元素为将室内环境从第一状态调整到目标状态可选择的至少两个操作集合所对应的参数值；使用强化学习的算法不断优化该目标矩阵，并依据优化后的目标矩阵确定操作集合，可以使得室内环境快速地达到目标状态。
在一种可选的实现方式中，提供了一种更新目标矩阵的方法，具体如下：上述使用上述目标值更新上述目标矩阵包括：
使用如下算式更新上述目标矩阵：
Q(st,at)＝Q(st,at)+α(R+γmaxQ(st+1,a)-Q(st,at))；
算式左边的Q(st,at)为上述目标操作集合在上述目标矩阵更新后所对应的参数值，算式右边的Q(st,at)为上述目标操作集合在上述目标矩阵更新前所对应的参数值，上述α和上述γ为预置的常数，上述R为上述目标值，上述 maxQ(st+1,a)为在上述第二状态下可选择的全部操作集合所对应的各个参数值中的最大参数值。上述α和上述γ为预置的常数，可以根据不同的问题设置不同的数值。
本发明实施例中，可以加快目标矩阵的收敛速度，减少到达目标状态所需的时间。
在一种可选的实现方式中，在上述确定与上述室外环境参数相对应的目标室内环境参数之前，上述方法还包括：
获取位于上述目标区域中的可穿戴设备中的数据；
上述确定与上述室外环境参数相对应的目标室内环境参数包括：
依据上述数据确定与上述室外环境参数相对应的目标室内环境参数。
上述可穿戴设备可以是智能手表、智能手环等。上述可穿戴设备与上述服务器具备绑定关系。服务器可以向上述可穿戴设备发送数据获取指令，指示上述可穿戴设备向其发送用户的体征数据如体温、心率、脉搏等。上述可穿戴设备也可以按照一定的周期向上述服务器发送该用户的体征数据，还可以确定位于上述目标区域的情况下，向上述服务器发送该用户的体征数据。上述服务器可以依据上述数据确定位于上述目标区域的用户所处的状态，进而确定上述目标室内环境参数，即用户的热舒适区对应的环境参数。用户在不同状态下所需的热舒适区不同。举例来说，用户在运动后，睡觉时，工作时，所需的热舒适区不同。因此，需要根据用户当前的状态，来确定上述室外环境参数相对应的目标室内环境参数。具体的，可以先确定与上述室外环境参数相对应的目标室内环境参数，再利用预置的方式根据该用户当前的状态对该目标室内环境参数进行调整。举例来说，计算得到室外环境参数对应的目标室内环境参数为(22℃，50％，强)，检测到用户处于睡眠状态，将该目标室内环境参数调整为(24℃，50％，弱)。可以理解的是，可以直接依据上述数据与上述室外环境参数确定上述目标室内环境参数。
本发明实施例中，可以结合用户当前的状态确定目标区域对应的目标室内环境参数，更加准确，提高用户体验。
在一种可选的实现方式中，提供了构建目标矩阵的方法，具体如下：上述 构建目标矩阵包括：
获取将上述室内环境从上述第一状态调整到上述目标状态可选择的上述至少两个操作集合所对应的上述参数值，构建上述目标矩阵；
或者，依据上述第一状态下可选择的上述至少两个操作集合与上述目标状态的关系，确定上述可选择的至少两个操作集合对应的上述参数值，构建上述目标矩阵，上述可选择的至少两个操作集合所指定的状态与上述目标状态越接近其对应的参数值越大。
一种可选的方法是从服务器已保存的目标矩阵中获取将上述目标区域从上述第一状态调整到上述目标状态可选择的上述至少两个操作集合所对应的上述参数值，构建上述目标矩阵；也可以是从服务器已保存的矩阵中选择与所述第一状态最接近的矩阵作为所述目标矩阵。
另一种可选的方法是依据上述第一状态下可选择的上述至少两个操作集合与上述目标状态的关系，确定上述可选择的至少两个操作集合对应的上述参数值，构建上述目标矩阵。上述操作集合中包括至少一个表示最终状态的参数。例如，某一操作集合为(26℃，除湿，强)，其中26℃就是该操作集合对应的温度的最终状态。举例来说，如图2所示，当前温度为18℃，目标温度为21℃，不同列的操作集合中的温度不同，如第一列对应的操作集合中的温度为17℃，第二列对应的操作集合中的温度为18℃，依次类推，可以看出操作集合所对应的温度与目标温度越接近其参数值越大。
本发明实施例中，提供了构建目标矩阵的方法，可以加速目标矩阵的收敛速度，减少到达目标状态所需的时间。
本发明实施例提供了另一种环境调节方法，如图3所示，包括：
301、获取目标区域当前的室外环境参数以及室内环境参数；
302、获取位于上述目标区域中的可穿戴设备中的数据；
303、依据上述数据确定与上述室外环境参数相对应的目标室内环境参数；
上述目标室内环境参数表征上述目标区域的目标状态。
304、依据第一状态下可选择的至少两个操作集合与目标状态的关系，确定上述可选择的至少两个操作集合对应的参数值，构建目标矩阵；
305、采用预置的策略选择机制，依据上述目标矩阵确定所要选择的目标操作集合；
306、依据上述目标操作集合生成控制指令，向环境调节装置发送上述控制指令；
307、在发送上述控制指令的预置时间后，确定上述目标区域当前所处的第二状态未达到上述目标状态；
308、计算上述目标操作集合对应的目标值；
309、使用上述目标值更新上述目标矩阵；
310、存储上述目标矩阵。
本发明实施例中，根据目标区域的室外环境参数与室内环境参数的对应关系以及用户的体征数据，确定该目标区域的热舒适区所对应的环境参数；使用强化学习的算法不断学习环境调节装置的特性以及其与目标区域和用户之间的关系，可以快速地通过该环境调节装置将该目标区域调整到用户舒适的状态。
本发明实施例提供了一种服务器，如图4所示，包括：
获取单元401，用于获取目标区域当前的室外环境参数以及室内环境参数，上述室内环境参数表征上述目标区域当前所处的第一状态；
确定单元402，用于确定与上述室外环境参数相对应的目标室内环境参数，上述目标室内环境参数表征上述目标区域的目标状态；
矩阵构建单元403，用于构建目标矩阵，上述目标矩阵的第一行元素为将上述目标区域从上述第一状态调整到上述目标状态可选择的至少两个操作集合所对应的参数值，上述参数值越大将上述目标区域从上述第一状态调整到上述目标状态的可能性越高，上述操作集合包括至少一种类型的调节操作；
上述确定单元402，还用于采用预置的策略选择机制，依据上述目标矩阵确定所要选择的目标操作集合；
生成单元404，用于依据上述目标操作集合生成相应的控制指令，上述控制指令指示上述环境调节装置执行上述目标操作集合所指定的操作；
发送单元405，用于向环境调节装置发送上述控制指令；
上述确定单元402，还用于确定上述目标区域未达到上述目标状态的情况；还用于确定上述目标区域达到上述目标状态；
计算单元406，用于在确定上述目标区域未达到上述目标状态的情况下，依据上述目标区域当前所处的第二状态、上述第一状态以及上述目标状态计算上述目标操作集合对应的目标值；
更新单元407，用于使用上述目标值更新上述目标矩阵。
具体的实现方法和图1中的方法相同，这里不作详述。
在一种可选的实现方式中，上述获取单元401，还用于获取位于上述目标区域中的可穿戴设备中的数据；
上述确定单元402，具体用于依据上述数据确定与上述室外环境参数相对应的目标室内环境参数。
本发明实施例中，可以结合用户当前的状态确定目标区域对应的目标室内环境参数，更加准确。
在一种可选的实现方式中，提供了一种确定与目标区域的室外环境参数相对应的目标室内环境参数的方法，具体如下：上述确定单元402，具体用于确定上述室外环境参数所对应的目标等级序列，上述目标等级序列包含上述室外环境参数中的至少两项参数所对应的等级；确定与上述目标等级序列相对应的至少两个室外环境参数，确定上述至少两个室外环境参数对应的至少两个室内环境参数；确定上述至少两个室内环境参数中与第一等级序列相对应的室内环境参数的数目以及与第二等级序列相对应的室内环境参数的数目，上述第一等级序列和上述第二等级序列均包含室内环境参数中的至少两项参数所对应的等级；在上述第一等级序列对应的室内环境参数的数目大于上述第二等级序列对应的室内环境参数的数目的情况下，确定上述第一等级序列对应的环境参数范围为上述目标室内环境参数。
本发明实施例中，提供了一种获取与目标区域的室外环境参数相对应的目标室内环境参数的方法，可以准确地确定表征目标区域热舒适区的环境参数。
在一种可选的实现方式中，提供了构建目标矩阵的方法，具体如下：
上述矩阵构建单元403，具体用于获取将上述目标区域从上述第一状态调 整到上述目标状态可选择的上述至少两个操作集合所对应的上述参数值，构建上述目标矩阵；
或者，具体用于依据上述第一状态下可选择的上述至少两个操作集合与上述目标状态的关系，确定上述可选择的至少两个操作集合对应的上述参数值，构建上述目标矩阵，上述可选择的至少两个操作集合所指定的状态与上述目标状态越接近其对应的参数值越大。
本发明实施例中，提供了构建目标矩阵的方法，可以加速目标矩阵的收敛速度，减少到达目标状态所需的时间
在一种可选的实现方式中，提供了两种选择目标操作集合方法，具体如下：上述确定单元402，具体用于从上述目标矩阵的第一行中选择数值最大的元素所对应的操作集合，作为上述目标操作集合；
或者，具体用于以概率ε从上述目标矩阵的第一行中筛选出数值最大的N个元素所对应的N个操作集合，并从上述N个操作集合中随机选择一个操作集合，作为上述目标操作集合，上述N为大于1的整数，上述N个元素不包括数值最大的元素；以概率1-ε从上述第一行中选择数值最大的元素所对应的操作集合，作为上述目标操作集合。
本发明实施例中，提出了两种选择目标操作集合方法，可以根据目标矩阵的收敛情况，选择不同的方法，可以提高寻找较优的操作集合的速度。
在一种可选的实现方式中，提供了一种更新目标矩阵的方法，具体如下：上述更新单元407，具体用于使用如下算式更新上述目标矩阵：
Q(st,at)＝Q(st,at)+α(R+γmaxQ(st+1,a)-Q(st,at))；
算式左边的Q(st,at)为上述目标操作集合在上述目标矩阵更新后所对应的参数值，算式右边的Q(st,at)为上述目标操作集合在上述目标矩阵更新前所对应的参数值，上述α和上述γ为预置的常数，上述R为上述目标值，上述maxQ(st+1,a)为在上述第二状态下可选择的全部操作集合所对应的各个参数值中的最大参数值。
本发明实施例中，可以加快目标矩阵的收敛速度，减少目标区域达到目标状态所需的时间。
请参见图5，图5是本发明实施例提供的一种服务器，该服务器包括处理器501、存储器502、接收器503、发送器504，在本发明的一些实施例中，处理器501、存储器502、接收器503、发送器504可通过总线或者其它方式连接。
存储器502包括但不限于是随机存取存储器(RAM)、只读存储器(ROM)、可擦除可编程只读存储器(EPROM或者快闪存储器)、或便携式只读存储器(CD-ROM)，该存储器502用于相关指令及数据。
上述服务器中的处理器501用于读取上述存储器502中存储的程序代码后，执行以下操作：
获取目标区域当前的室外环境参数以及室内环境参数，确定与上述室外环境参数相对应的目标室内环境参数，上述室内环境参数表征上述目标区域当前所处的第一状态，上述目标室内环境参数表征上述目标区域的目标状态；构建目标矩阵，上述目标矩阵的第一行元素为将上述目标区域从上述第一状态调整到上述目标状态可选择的至少两个操作集合所对应的参数值，上述参数值越大将上述目标区域从上述第一状态调整到上述目标状态的可能性越高，上述操作集合包括至少一种类型的调节操作；采用预置的策略选择机制，依据上述目标矩阵确定所要选择的目标操作集合，生成相应的控制指令，向环境调节装置发送上述控制指令，上述控制指令指示上述环境调节装置执行上述目标操作集合所指定的操作；在确定上述目标区域未达到上述目标状态的情况下，依据上述目标区域当前所处的第二状态、上述第一状态以及上述目标状态计算上述目标操作集合对应的目标值，使用上述目标值更新上述目标矩阵。
具体实现方法和图1中的方法相同，这里不作详述。
在一种可选的实现方式中，在上述确定与上述室外环境参数相对应的目标室内环境参数之前，上述方法还包括：
获取位于上述目标区域中的可穿戴设备中的数据；
上述确定与上述室外环境参数相对应的目标室内环境参数包括：
依据上述数据确定与上述室外环境参数相对应的目标室内环境参数。
本发明实施例中，可以结合用户当前的状态确定目标区域对应的目标室内 环境参数，更加准确。
在一种可选的实现方式中，提供了一种确定与目标区域的室外环境参数相对应的室内环境参数的方法，具体如下：处理器501，具体用于确定上述室外环境参数所对应的目标等级序列，上述目标等级序列包含上述室外环境参数中的至少两项参数所对应的等级；确定与上述目标等级序列相对应的至少两个室外环境参数，确定上述至少两个室外环境参数对应的至少两个室内环境参数；确定上述至少两个室内环境参数中与第一等级序列相对应的室内环境参数的数目以及与第二等级序列相对应的室内环境参数的数目，上述第一等级序列和上述第二等级序列均包含室内环境参数中的至少两项参数所对应的等级；在上述第一等级序列对应的室内环境参数的数目大于上述第二等级序列对应的室内环境参数的数目的情况下，确定上述第一等级序列对应的环境参数范围为上述目标室内环境参数。
本发明实施例中，提供了一种获取与目标区域的室外环境参数相对应的目标室内环境参数的方法，可以准确地确定表征目标区域热舒适区的环境参数。
在一种可选的实现方式中，提供了构建目标矩阵的方法，具体如下：上述处理器501，具体用于获取将上述目标区域从上述第一状态调整到上述目标状态可选择的上述至少两个操作集合所对应的上述参数值，构建上述目标矩阵；或者，具体用于依据上述第一状态下可选择的上述至少两个操作集合与上述目标状态的关系，确定上述可选择的至少两个操作集合对应的上述参数值，构建上述目标矩阵，上述可选择的至少两个操作集合所指定的状态与上述目标状态越接近其对应的参数值越大。
本发明实施例中，提供了构建目标矩阵的方法，可以加速目标矩阵的收敛速度，减少目标区域达到目标状态所需的时间。
在一种可选的实现方式中，提供了两种选择目标操作集合方法，具体如下：处理器501，具体用于从上述目标矩阵的第一行中选择数值最大的元素所对应的操作集合，作为上述目标操作集合；
或者，以概率ε从上述目标矩阵的第一行中筛选出数值最大的N个元素所对应的N个操作集合，并从上述N个操作集合中随机选择一个操作集合，作为上述目标操作集合，上述N为大于1的整数，上述N个元素不包括数值 最大的元素；以概率1-ε从上述第一行中选择数值最大的元素所对应的操作集合，作为上述目标操作集合。
在一种可选的实现方式中，提供了一种更新目标矩阵的方法，具体如下：上述处理器501，具体用于使用如下算式更新上述目标矩阵：
Q(st,at)＝Q(st,at)+α(R+γmaxQ(st+1,a)-Q(st,at))；
算式左边的Q(st,at)为上述目标操作集合在上述目标矩阵更新后所对应的参数值，算式右边的Q(st,at)为上述目标操作集合在上述目标矩阵更新前所对应的参数值，上述α和上述γ为预置的常数，上述R为上述目标值，上述maxQ(st+1,a)为在上述第二状态下可选择的全部操作集合所对应的各个参数值中的最大参数值。
本发明实施例中，可以加快目标矩阵的收敛速度，减少到达目标状态所需的时间。
以上所述，仅为本发明的具体实施方式，但本发明的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本发明揭露的技术范围内，可轻易想到各种等效的修改或替换，这些修改或替换都应涵盖在本发明的保护范围之内。因此，本发明的保护范围应以权利要求的保护范围为准。

Claims (12)

  1. 一种环境调节方法，其特征在于，包括：
    获取目标区域当前的室外环境参数以及室内环境参数，确定与所述室外环境参数相对应的目标室内环境参数，所述室内环境参数表征所述目标区域当前所处的第一状态，所述目标室内环境参数表征所述目标区域的目标状态；
    构建目标矩阵，所述目标矩阵的第一行元素为将所述目标区域从所述第一状态调整到所述目标状态可选择的至少两个操作集合所对应的参数值，所述参数值越大将所述目标区域从所述第一状态调整到所述目标状态的可能性越高，所述操作集合包括至少一种类型的调节操作；
    采用预置的策略选择机制，依据所述目标矩阵确定所要选择的目标操作集合，生成相应的控制指令，向环境调节装置发送所述控制指令，所述控制指令指示所述环境调节装置执行所述目标操作集合所指定的操作；
    在确定所述目标区域未达到所述目标状态的情况下，依据所述目标区域当前所处的第二状态、所述第一状态以及所述目标状态计算所述目标操作集合对应的目标值，使用所述目标值更新所述目标矩阵。
  2. 根据权利要求1所述方法，其特征在于，在所述确定与所述室外环境参数相对应的目标室内环境参数之前，所述方法还包括：
    获取位于所述目标区域中的可穿戴设备中的数据；
    所述确定与所述室外环境参数相对应的目标室内环境参数包括：
    依据所述数据确定与所述室外环境参数相对应的所述目标室内环境参数。
  3. 根据权利要求1所述方法，其特征在于，所述确定与所述室外环境参数相对应的目标室内环境参数包括：
    确定所述室外环境参数所对应的目标等级序列，所述目标等级序列包含所述室外环境参数中的至少两项参数所对应的等级；
    确定与所述目标等级序列相对应的至少两个室外环境参数，确定所述至少两个室外环境参数对应的至少两个室内环境参数；
    确定所述至少两个室内环境参数中与第一等级序列相对应的室内环境参 数的数目以及与第二等级序列相对应的室内环境参数的数目，所述第一等级序列和所述第二等级序列均包含室内环境参数中的至少两项参数所对应的等级；
    在所述第一等级序列对应的室内环境参数的数目大于所述第二等级序列对应的室内环境参数的数目的情况下，确定所述第一等级序列对应的环境参数范围为所述目标室内环境参数。
  4. 根据权利要求1所述方法，其特征在于，所述构建目标矩阵包括：
    获取将所述目标区域从所述第一状态调整到所述目标状态可选择的所述至少两个操作集合所对应的所述参数值，构建所述目标矩阵；
    或者，依据所述第一状态下可选择的所述至少两个操作集合与所述目标状态的关系，确定所述可选择的至少两个操作集合对应的所述参数值，构建所述目标矩阵，所述可选择的至少两个操作集合所指定的状态与所述目标状态越接近其对应的参数值越大。
  5. 根据权利要求4所述方法，其特征在于，所述采用预置的策略选择机制，依据所述目标矩阵确定所要选择的目标操作集合包括：
    从所述目标矩阵的第一行中选择数值最大的元素所对应的操作集合，作为所述目标操作集合；
    或者，以概率ε从所述目标矩阵的第一行中筛选出数值最大的N个元素所对应的N个操作集合，并从所述N个操作集合中随机选择一个操作集合，作为所述目标操作集合，所述N为大于1的整数，所述N个元素不包括数值最大的元素；以概率1-ε从所述第一行中选择数值最大的元素所对应的操作集合，作为所述目标操作集合。
  6. 根据权利要求1至5任意一项所述方法，其特征在于，所述使用所述目标值更新所述目标矩阵包括：
    使用如下算式更新所述目标矩阵：
    Q(st,at)＝Q(st,at)+α(R+γmax Q(st+1,a)-Q(st,at))；
    算式左边的Q(st,at)为所述目标操作集合在所述目标矩阵更新后所对应的参数值，算式右边的Q(st,at)为所述目标操作集合在所述目标矩阵更新前所对应的参数值，所述α和所述γ为预置的常数，所述R为所述目标值，所述max Q(st+1,a)为在所述第二状态下可选择的全部操作集合所对应的各个参数值中的最大参数值。
  7. 一种服务器，其特征在于，包括：
    获取单元，用于获取目标区域当前的室外环境参数以及室内环境参数，所述室内环境参数表征所述目标区域当前所处的第一状态；
    确定单元，用于确定与所述室外环境参数相对应的目标室内环境参数，所述目标室内环境参数表征所述目标区域的目标状态；
    矩阵构建单元，用于构建目标矩阵，所述目标矩阵的第一行元素为将所述目标区域从所述第一状态调整到所述目标状态可选择的至少两个操作集合所对应的参数值，所述参数值越大将所述目标区域从所述第一状态调整到所述目标状态的可能性越高，所述操作集合包括至少一种类型的调节操作；
    所述确定单元，还用于采用预置的策略选择机制，依据所述目标矩阵确定所要选择的目标操作集合；
    生成单元，用于依据所述目标操作集合生成相应的控制指令，所述控制指令指示环境调节装置执行所述目标操作集合所指定的操作；
    发送单元，用于向所述环境调节装置发送所述控制指令；
    所述确定单元，还用于确定所述目标区域未达到所述目标状态的情况；还用于确定所述目标区域达到所述目标状态；
    计算单元，用于在确定所述目标区域未达到所述目标状态的情况下，依据所述目标区域当前所处的第二状态、所述第一状态以及所述目标状态计算所述目标操作集合对应的目标值；
    更新单元，用于使用所述目标值更新所述目标矩阵。
  8. 根据权利要求7所述服务器，其特征在于，
    所述获取单元，还用于获取位于所述目标区域中的可穿戴设备中的数据；
    所述确定单元，具体用于依据所述数据确定与所述室外环境参数相对应的所述目标室内环境参数。
  9. 根据权利要求7所述服务器，其特征在于，
    所述确定单元，具体用于确定所述室外环境参数所对应的目标等级序列，所述目标等级序列包含所述室外环境参数中的至少两项参数所对应的等级；确定与所述目标等级序列相对应的至少两个室外环境参数，确定所述至少两个室外环境参数相对应的至少两个室内环境参数；确定所述至少两个室内环境参数中与第一等级序列相对应的室内环境参数的数目以及与第二等级序列相对应的室内环境参数的数目，所述第一等级序列和所述第二等级序列均包含室内环境参数中的至少两项参数所对应的等级；在所述第一等级序列对应的室内环境参数的数目大于所述第二等级序列对应的室内环境参数的数目的情况下，确定所述第一等级序列对应的环境参数范围为所述目标室内环境参数。
  10. 根据权利要求7所述服务器，其特征在于，
    所述矩阵构建单元，具体用于获取将所述目标区域从所述第一状态调整到所述目标状态可选择的所述至少两个操作集合所对应的所述参数值，构建所述目标矩阵；
    或者，具体用于依据所述第一状态下可选择的所述至少两个操作集合与所述目标状态的关系，确定所述可选择的至少两个操作集合对应的所述参数值，构建所述目标矩阵，所述可选择的至少两个操作集合所指定的状态与所述目标状态越接近其对应的参数值越大。
  11. 根据权利要求10所述服务器，其特征在于，
    所述确定单元，具体用于从所述目标矩阵的第一行中选择数值最大的元素所对应的操作集合，作为所述目标操作集合；
    或者，具体用于以概率ε从所述目标矩阵的第一行中筛选出数值最大的N 个元素所对应的N个操作集合，并从所述N个操作集合中随机选择一个操作集合，作为所述目标操作集合，所述N为大于1的整数，所述N个元素不包括数值最大的元素；以概率1-ε从所述第一行中选择数值最大的元素所对应的操作集合，作为所述目标操作集合。
  12. 根据权利要求7至11任意一项所述服务器，其特征在于，
    所述更新单元，具体用于使用如下算式更新所述目标矩阵：
    Q(st,at)＝Q(st,at)+α(R+γmax Q(st+1,a)-Q(st,at))；
    算式左边的Q(st,at)为所述目标操作集合在所述目标矩阵更新后所对应的参数值，算式右边的Q(st,at)为所述目标操作集合在所述目标矩阵更新前所对应的参数值，所述α和所述γ为预置的常数，所述R为所述目标值，所述max Q(st+1,a)为在所述第二状态下可选择的全部操作集合所对应的各个参数值中的最大参数值。
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