CN113760024B - Environmental control system based on 5G intelligent space - Google Patents
Environmental control system based on 5G intelligent space Download PDFInfo
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Abstract
The application discloses environmental control system based on 5G wisdom space, environmental control system based on 5G wisdom space includes host system, intelligent house equipment, indoor sensor and outdoor sensor based on 5G communication intercommunication connection, host system is used for: acquiring indoor environment information acquired by an indoor sensor in a target indoor space, outdoor environment information acquired by an outdoor sensor outside the target indoor space and equipment state information corresponding to all intelligent household equipment in the target indoor space; performing control decision analysis on each intelligent household device according to the indoor environment information, the state information of each device and the outdoor environment information to obtain control action information; generating a linkage control signal according to the control action information and the control input information of each intelligent household device; and performing linkage control on each intelligent household device according to the linkage control signal. The application solves the technical problem that the control accuracy of the intelligent household equipment is low.
Description
Technical Field
The application relates to the technical field of environment perception, in particular to an environment control system, equipment, a readable storage medium based on a 5G smart space and an environment control device based on the 5G smart space.
Background
Along with the continuous development of the internet of things, the intelligent requirements of people on intelligent home equipment are higher and higher, in some intelligent home environments, the intelligent control on the intelligent home equipment is gradually realized, at present, the intelligent control corresponding to the intelligent home equipment can be realized through methods such as voice or gestures and the like, but the method can only be used for controlling a single intelligent home equipment generally, in order to provide a comfortable living environment for an indoor space, a user generally needs to control a plurality of intelligent home equipment respectively and independently, however, because the indoor environment can be influenced by various factors generally, the mode of respectively and independently controlling the plurality of intelligent home equipment is generally difficult to provide a more standard comfortable environment for the indoor space, and the control accuracy of the intelligent home equipment is lower.
Disclosure of Invention
The application mainly aims at providing an environmental control system, a device, equipment and readable storage medium based on 5G wisdom space, aim at solving among the prior art intelligent house equipment control accuracy low technical problem.
For realizing above-mentioned purpose, this application provides an environmental control system based on 5G wisdom space, environmental control system based on 5G wisdom space is applied to the environmental control equipment based on 5G wisdom space, environmental control system based on 5G wisdom space includes host system, intelligent home equipment, indoor sensor and outdoor sensor based on 5G communication intercommunication connection, host system is used for:
acquiring indoor environment information acquired by an indoor sensor in a target indoor space, outdoor environment information acquired by an outdoor sensor outside the target indoor space and equipment state information corresponding to all intelligent household equipment in the target indoor space;
performing control decision analysis on each intelligent household device according to the indoor environment information, the state information of each device and the outdoor environment information to obtain control action information;
generating a linkage control signal according to the control action information and the control input information of each intelligent household device;
and performing linkage control on each intelligent household device according to the linkage control signal.
The application still provides an environmental control device based on 5G wisdom space, just environmental control device based on 5G wisdom space is applied to the environmental control equipment based on 5G wisdom space, environmental control device based on 5G wisdom space includes:
the environment sensing module is used for acquiring indoor environment information acquired by an indoor sensor in a target indoor space, outdoor environment information acquired by an outdoor sensor outside the target indoor space and equipment state information corresponding to all intelligent household equipment in the target indoor space;
the equipment control decision analysis module is used for carrying out control decision analysis on each intelligent household equipment according to the indoor environment information, the equipment state information and the outdoor environment information to obtain control action information;
the control signal generation module is used for generating linkage control signals according to the control action information and the control input information of each intelligent household device;
and the equipment linkage control module is used for carrying out linkage control on each intelligent household equipment according to the linkage control signal.
The application still provides an environmental control equipment based on 5G wisdom space, environmental control equipment based on 5G wisdom space is entity equipment, environmental control equipment based on 5G wisdom space includes: the 5G smart space-based environment control system comprises a memory, a processor and a program of the 5G smart space-based environment control system, wherein the program of the 5G smart space-based environment control system is stored in the memory and can run on the processor, and the steps of the 5G smart space-based environment control system can be realized when the program of the 5G smart space-based environment control system is executed by the processor.
The application also provides a readable storage medium, wherein a program for implementing the 5G smart space-based environment control system is stored on the readable storage medium, and when the program for implementing the 5G smart space-based environment control system is executed by a processor, the steps of implementing the 5G smart space-based environment control system are implemented.
The present application also provides a computer program product comprising a computer program which, when executed by a processor, performs the steps of the 5G smart space-based environmental control system as described above.
The application provides an environment control system, equipment, a readable storage medium and an environment control device based on a 5G smart space, compared with a method for individually controlling each intelligent household equipment in the prior art, the method comprises the steps of firstly obtaining indoor environment information collected by an indoor sensor in a target indoor space, outdoor environment information collected by an outdoor sensor outside the target indoor space and equipment state information corresponding to each intelligent household equipment in the target indoor space, carrying out control decision analysis on each intelligent household equipment according to the indoor environment information, each equipment state information and the outdoor environment information to obtain control action information, further achieving the purpose of comprehensively deciding the control action corresponding to each intelligent household equipment according to the indoor environment information, the outdoor environment information and each equipment state information, wherein, it should be noted that, the control action information is information of selection and combination of control action, one control action can drive each smart home device to implement a function, and further generate a linkage control signal according to the control action information and the control input information of each smart home device, that is, the control action information intervenes on the original control input information to generate a corresponding linkage control signal, and further according to the linkage control signal, each smart home device can be controlled in linkage to implement at least one function corresponding to the control action information, such as temperature control or humidity control, so as to overcome the problem that the indoor environment is usually affected by various factors, and it is usually difficult to provide a relatively standard comfortable environment for the indoor space in a manner of individually controlling a plurality of smart home devices, the control accuracy of the intelligent household equipment is low, so the control accuracy of the intelligent household equipment is improved.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a schematic flowchart illustrating a first embodiment of a 5G smart space-based environmental control system according to the present invention;
FIG. 2 is a schematic flowchart illustrating a second embodiment of the environment control system based on 5G smart space according to the present application;
fig. 3 is a schematic device structure diagram of a hardware operating environment according to an embodiment of the present application.
The objectives, features, and advantages of the present application will be further described with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The embodiment of the application provides an environmental control system based on 5G wisdom space, in this application based on the first embodiment of the environmental control system in 5G wisdom space, refer to fig. 1, environmental control system based on 5G wisdom space includes host system, intelligent house equipment, indoor sensor and outdoor sensor based on 5G communication intercommunication connection, host system is used for:
step S10, acquiring indoor environment information acquired by an indoor sensor in a target indoor space, outdoor environment information acquired by an outdoor sensor outside the target indoor space and equipment state information corresponding to all intelligent household equipment in the target indoor space;
in this embodiment, the target indoor space is an indoor space that can be ventilated to the outside, such as a home space or an office space. The indoor environment information is information representing an indoor environment state, wherein the indoor environment state at least comprises one of an indoor temperature state, an indoor humidity state and an indoor air quality state, and the indoor air quality state can be represented by one or more of indexes such as an indoor oxygen concentration, an indoor carbon dioxide concentration and an indoor PM2.5 value. The outdoor environment information is information representing outdoor environment states, wherein the outdoor environment states at least comprise one of outdoor temperature states, outdoor humidity states and outdoor air quality states, and the outdoor air quality states can be represented by one or more of outdoor oxygen concentration, outdoor carbon dioxide concentration, outdoor PM2.5 values and other indexes. The equipment state information is the information that represents the equipment running state of intelligent household equipment, wherein, equipment running state includes the switch of equipment, the operation gear and the equipment duration of operation of equipment at least for one, indoor sensor can be for the temperature sensor who is used for gathering the temperature, also can be for the humidity transducer who is used for gathering humidity, also can be for the air quality acquisition sensor who is used for detecting air quality, and similarly, outdoor sensor can be for the temperature sensor who is used for gathering the temperature, also can be for the humidity transducer who is used for gathering humidity, also can be for the air quality acquisition sensor who is used for detecting air quality.
The method comprises the following steps of acquiring indoor environment information acquired by an indoor sensor in a target indoor space, outdoor environment information acquired by an outdoor sensor outside the target indoor space and equipment state information corresponding to all intelligent household equipment in the target indoor space, wherein the steps comprise:
step S11, collecting indoor temperature information, corresponding indoor humidity information and corresponding indoor air quality information corresponding to the target indoor space through the indoor sensor, and collecting outdoor temperature information, corresponding outdoor humidity information and corresponding outdoor air quality information corresponding to the target indoor space through the outdoor sensor;
in this embodiment, specifically, an indoor temperature value in a preset time period in the target indoor space is acquired by the indoor sensor, and an indoor temperature expression vector composed of the indoor temperature values is used as indoor temperature information; acquiring indoor humidity values in a preset time period in the target indoor space through the outdoor sensor, and taking indoor humidity expression vectors formed by the indoor humidity values as indoor humidity information; and detecting at least one indoor air quality index value in a preset time period in the target indoor space, and using an indoor air quality expression vector formed by all the indoor air quality index values as indoor air quality information. Detecting corresponding outdoor temperature values of the target indoor space in a preset time period, and using outdoor temperature expression vectors formed by the outdoor temperature values as outdoor temperature information; detecting corresponding outdoor humidity values of the target indoor space in a preset time period, and using outdoor humidity expression vectors formed by the outdoor humidity values as outdoor humidity information; and detecting at least one outdoor air quality index value corresponding to the target indoor space in a preset time period, and using an outdoor air quality expression vector formed by all the outdoor air quality index values as outdoor air quality information. Wherein the air quality index value at least comprises one of oxygen concentration, carbon dioxide concentration and PM2.5 value.
Step S12, generating indoor environment information according to the indoor temperature information, the indoor humidity information, and the indoor air quality information, and generating outdoor environment information according to the outdoor temperature information, the outdoor humidity information, and the outdoor air quality information;
in this embodiment, it should be noted that the indoor environment information may be an indoor environment representation vector in a vector form, and the outdoor environment information may be an outdoor environment representation vector in a vector form.
Specifically, the indoor temperature expression vector, the indoor humidity expression vector and the indoor air quality expression vector are spliced to obtain an indoor environment expression vector; and splicing the outdoor temperature expression vector, the outdoor humidity expression vector and the outdoor air quality expression vector to obtain an outdoor environment expression vector.
Step S13, obtaining the device running state of each intelligent household device, and generating the device state information according to the device running state.
In this embodiment, it should be noted that the device status information may be a device status feature vector in a vector form. Specifically, device running state representation vectors of the intelligent household devices are obtained, and the device running state representation vectors are spliced into device state feature vectors. The device operation state representation vector is composed of device operation state characteristic values, and the device operation state characteristic values can be characteristic values representing device switches, characteristic values representing device operation gears, characteristic values representing device continuous operation duration and the like.
Step S20, performing control decision analysis on each intelligent household device according to the indoor environment information, the state information of each device and the outdoor environment information to obtain control action information;
in this embodiment, it should be noted that the control action information is information of control action on each smart home device, where the control action information is information of selection and combination of control action, and one control action can control each smart home device in a linkage manner to implement one function, for example, control action a can control the corresponding smart home device in a linkage manner to perform indoor temperature control, control action B can control the corresponding smart home device in a linkage manner to perform indoor humidity control, and control action C can control the corresponding smart home device in a linkage manner to perform indoor air quality control, and the like, and it should be noted that a function to be implemented by one linkage control on each smart home device can correspond to one or more control actions, for example, if the function to be implemented is temperature control, the control process to be implemented by control action a is temperature control by air conditioner alone, the control process to be realized by the control action b is that the temperature is reduced through the switch of the vent and the switch of the humidifier, if the room is dry, the temperature is higher but the amplitude is not large, and the outdoor temperature is just at the comfortable temperature of the human body, the control action b is selected for reducing the temperature, so that the humidifier and the vent or the window can be intelligently controlled to be opened in a linkage manner according to the control action b; and if the indoor temperature is higher, the outdoor temperature is also higher, and the indoor is not dry yet, then the control action a should be selected for cooling, so according to the control action b, the air conditioner can be intelligently controlled to be opened and the ventilation opening or the window can be intelligently controlled to be closed in a linkage manner.
Specifically, the indoor environment information, the state information of each device, and the outdoor environment information are spliced to obtain decision input information, and then the decision input information is subjected to feature extraction to extract feature information with a large contribution degree to decision analysis from the decision input information, so as to obtain a feature extraction matrix, and then the feature extraction matrix is fully connected to perform control decision, so as to obtain control action information, wherein the decision input information may be a matrix, where a column of the matrix corresponds to a time point, a row of the matrix corresponds to an indoor environment, an outdoor environment, and a device state, and values in the matrix are indoor environment index values, outdoor environment index values, and device operation state feature values arranged according to time, where the indoor environment index values at least include one of an indoor temperature value, an indoor humidity value, and an indoor air quality index value, the outdoor environment index value at least comprises one of an outdoor temperature value, an outdoor humidity value and an outdoor air quality index value, and the equipment operation state characteristic value at least comprises one of a characteristic value representing an equipment switch, a characteristic value representing an equipment operation gear and a characteristic value representing a continuous operation time of the equipment.
The step of performing control decision analysis on each intelligent household device according to the indoor environment information, the device state information and the outdoor environment information to obtain control action information includes:
step S21, inputting the indoor environment information, the equipment state information and the outdoor environment information into a preset control action prediction model, and predicting the control action of each intelligent household equipment to obtain a control action prediction result;
in this embodiment, it should be noted that the preset control action prediction model is a reinforcement learning model, the control decision analysis is a decision process of reinforcement learning, the decision process of reinforcement learning is a decision process that should be executed when controlling each smart home device at the current time step based on indoor environment information, each device state information, and outdoor environment information at the current time step to ensure that the target indoor space is in a preset standard indoor environment state, and in an iterative training process of the reinforcement learning model, the control decision analysis is generally an iterative loop process, that is, the process of reinforcement learning is S1-a1-S2-a2- > -Sn-an, where S is indoor environment information, a is control action information generated based on reinforcement learning to ensure that the target indoor space is in a preset standard indoor environment state, without being disturbed by the external environment.
Specifically, the indoor environment information, the state information of each device, and the outdoor environment information are spliced to obtain decision input information, a decision input information representation matrix corresponding to the decision input information is input into a preset control action prediction model, and a feature extraction is performed on the decision input information representation matrix to obtain a feature extraction matrix, wherein the decision input information representation matrix is decision input information in a matrix form, the feature extraction matrix is mapped into a control action prediction vector, and the control action prediction vector is used as a control action prediction result, wherein the control action prediction vector comprises a control action label and a control action prediction probability, the control action label is an identification of a type of a control action, and the control action prediction probability represents a probability that a control action corresponding to the control action label is a control action of the current control decision, for example, if the control action prediction vector is (1, 0.8, 2, 0.9), 1 is the control action label of control action a, 0.8 indicates that the probability that control action a is the control action of the current control decision is 80%, 2 is the control action label of control action B, and 0.9 indicates that the probability that control action B is the control action of the current control decision is 90%.
Step S22, selecting each target control action score from the control action prediction result based on a preset control action score threshold value;
in this embodiment, it should be noted that the control action prediction result may be composed of a control action label and a control action prediction probability, where the control action prediction probability is a control action score, for example, if the control action prediction result is (a, 0.8, b, 0.9), a and b are both control action labels, and 0.8 and 0.9 are control action scores respectively.
Specifically, each control action score in the control action prediction result is extracted, and each control action score exceeding a preset control action score threshold is used as a target control action score.
Step S23 is a step of generating the control action information based on each of the target control action scores and the control action prediction results.
In this embodiment, specifically, a target control action tag corresponding to each target control action score is selected from the control action prediction result, and a vector formed by each target control action tag and each target control action tag is used as the control action information.
Step S30, generating linkage control signals according to the control action information and the control input information of each intelligent household device;
in this embodiment, specifically, the corresponding control action module is selected according to each control action tag in the control action information, and the corresponding control action module is respectively initialized according to each control action score in the control information, so that the control input information of the smart home device is input into the corresponding initialized control action module, and the linkage control signal is generated.
Wherein, according to control action information and each smart home devices's control input information, the step that generates the coordinated control signal includes:
step S31, determining a control action module corresponding to each control action label in the control action information;
and step S32, respectively inputting the control input information of each intelligent household device into the corresponding control action module, and outputting the linkage control signal.
In this embodiment, it should be noted that the control action module is configured to convert control input information of the smart home device into a corresponding control signal, where the control signal is an electrical signal or a digital signal for controlling the smart home device.
Determining a control action module corresponding to each control action label in the control action information, further selecting module input information of each control action module from the control input information of each intelligent household device, further inputting each module input information into the corresponding control action module respectively to obtain output of each control action module, and further performing weighted average on control signals belonging to the same intelligent household device in the output of each control action module according to a control action score in each control action information to obtain the linkage control signal. For example, assuming that the smart home devices are respectively a, B, and c, the control input information corresponding to the smart home device a is x, the control input information corresponding to the smart home device B is y, the control input information corresponding to the smart home device c is z, and a control action module M and a control action module N exist, wherein the function to be implemented by the control action module M is associated with the smart home devices a and B, the corresponding control action score is 0.5, the function to be implemented by the control action module N is associated with the smart home devices a, B, and c, and the corresponding control action score is 0.5, the module input information corresponding to the control action module a is (x, y), the module input information corresponding to the control action module B is (x, y, z), and the output of the control action module a is further assumed to be (a 1, B1), the output of the control action module B is (A2, B2, C), and the linkage control signal is (0.5A 1+0.5A2, 0.5B1+0.5B2, C).
In addition, it should be noted that, because the control action module generates the control signal according to the function to be implemented by the corresponding control action, the input of the control action module is the control input information of the plurality of smart home devices, and the control action module integrates the control input information of the plurality of smart home devices and outputs the output of the corresponding control action module, thereby achieving the purpose of implementing the home devices corresponding to the same function by the linkage control. Furthermore, the output of each control action module is weighted and averaged according to the control action scores to generate linkage control signals, so that linkage control over all intelligent household equipment in the target indoor space can be achieved, and due to the fact that the control action with higher control action scores is more hopeful to achieve the control action function in the control process, the balance among the functions to be achieved by the control actions can be well achieved by means of weighted averaging according to the control action scores.
And step S40, performing linkage control on each intelligent household device according to the linkage control signal.
In this embodiment, according to the linkage control signal, the smart home devices are controlled simultaneously to cause the indoor environment state of the target indoor space to be changed into a preset standard indoor environment state, where the preset standard indoor environment state is a preset most comfortable indoor environment state of a human body.
Additionally, it should be noted that the environment control system based on the 5G smart space may be applied to an intelligent hotel, the target indoor space may be a hotel room, and when the user transacts a hotel check-in procedure or swipes a card to open the hotel room, the steps S10 to S40 may be triggered to be executed.
Wherein, according to the coordinated control signal, the step of carrying out coordinated control on each intelligent household equipment comprises the following steps:
step S41, receiving a device control command input by a user and generating an intervention control signal corresponding to the device control command;
in this embodiment, an equipment control command input by a user is received, and an intervention control signal corresponding to the equipment control command is generated, specifically, an equipment control command input by the user to the smart home equipment is received, and an intervention control signal corresponding to the equipment control command is generated according to a mapping relationship between the equipment control command and the control signal.
And step S42, fusing the linkage control signal and the intervention control signal into interactive linkage control information, and performing interactive linkage control on each intelligent household device according to the interactive linkage control information.
In this embodiment, specifically, a signal part corresponding to the intervention control signal in the linkage control signal is replaced by the intervention control signal, the linkage control signal and the intervention control signal are fused into interactive linkage control information, and then interactive linkage control is performed on each smart home device according to the interactive linkage control information, so as to promote an indoor environment state of the target indoor space to be converted into a preset standard indoor environment state applied with manual intervention, thereby achieving the purpose of interactive ground device linkage control, and enabling the indoor environment state to better meet personalized requirements of users.
Compared with the method for individually controlling each intelligent household device in the prior art, the embodiment of the application firstly acquires indoor environment information acquired by an indoor sensor in a target indoor space, outdoor environment information acquired by an outdoor sensor outside the target indoor space and device state information corresponding to each intelligent household device in the target indoor space, and then performs control decision analysis on each intelligent household device according to the indoor environment information, each device state information and the outdoor environment information to obtain control action information, so that the purpose of comprehensively deciding the control action corresponding to each intelligent household device according to the indoor environment information, the outdoor environment information and each device state information is realized, it should be noted that, the control action information is information of selection and combination of control actions, one control action may drive each smart home device to implement a function, and further generate a linkage control signal according to the control action information and the control input information of each smart home device, that is, intervene is applied to the original control input information through the control action information to generate a corresponding linkage control signal, and further perform linkage control on each smart home device according to the linkage control signal to implement at least one function corresponding to the control action information, such as temperature control or humidity control, and the like, so as to overcome the problem that it is difficult to provide a relatively standard comfortable environment for an indoor space in a manner of individually controlling a plurality of smart home devices respectively due to the influence of various factors on the indoor environment, the control accuracy of the intelligent household equipment is low, so the control accuracy of the intelligent household equipment is improved.
Further, referring to fig. 2, based on the first embodiment of the present application, in another embodiment of the present application, the step of performing control decision analysis on each smart home device according to the indoor environment information, the device state information, and the outdoor environment information to obtain control action information includes:
step A10, inputting the indoor environment information, the equipment state information and the outdoor environment information into a preset environment change prediction model, predicting the environment state of the target indoor space after a preset time period, and obtaining an indoor environment state prediction result;
in this embodiment, it should be noted that the preset environment change prediction model is a recurrent neural network model, and is capable of predicting a change situation of indoor environment information of the target indoor space over time, where the indoor environment information is information representing an indoor environment state at a current time step, the outdoor environment information is information representing an outdoor environment state at the current time step, and the device state information is information representing a device operation state of the corresponding smart home device at the current time step. That is, the indoor environment information, the state information of each device, and the outdoor environment information are time series data.
Specifically, the indoor environment information, the state information of each device and the outdoor environment information are spliced to obtain decision input information, and then the environmental state of the target indoor space after a preset time period is predicted by inputting the decision input information into a preset environmental change prediction model, so as to carry out the change condition of the indoor environment state along with the time on the target indoor space to obtain the prediction result of the indoor environment state, wherein the indoor environment state prediction result is an indoor environment state of the predicted target indoor space after a preset time period, wherein the time point after the preset time period is the time point after the preset number of time steps from the current time step, the specific numerical value of the preset number is automatically set according to the requirement, the preset time period may be followed by the next time step, or may be followed by the next time step of the next time step.
Step a20, generating the control action information according to the difference between the indoor environment state prediction result and a preset standard indoor environment state.
In this embodiment, it should be noted that the indoor environment state prediction result may be represented by an indoor environment state prediction vector in a vector form, where the indoor environment state prediction vector at least includes one indoor environment state prediction characteristic value, which may specifically be a temperature value, a humidity value, an air quality index value, or the like. The preset standard indoor environment state can be represented by a standard environment state representation vector in a vector form, and the standard environment state representation vector at least comprises a standard indoor environment state characteristic value, specifically a temperature value, a humidity value or an air quality index value and the like.
Specifically, the difference between values at the bit positions of the same arrangement position between the indoor environment state prediction vector and the standard environment state representation vector is calculated to obtain a difference vector, and the control action information is generated according to the value size and the value sign at each bit position in the difference vector.
In an implementation, the step of generating the control action information according to the magnitude and sign of the value at each bit in the difference vector includes:
obtaining the numerical value and the numerical value symbol on the bit corresponding to each indoor environment feature in the difference vector, matching a corresponding control action label and a corresponding control action score for each indoor environment feature according to the numerical value and the numerical value symbol corresponding to each indoor environment feature, and splicing the control action labels corresponding to the indoor environment features and the corresponding control action scores to obtain a vector as the control action information.
The indoor environment state prediction result comprises an indoor environment state prediction vector, the preset standard indoor environment state comprises a standard environment state representation vector, and the step of generating the control action information according to the difference degree between the indoor environment state prediction result and the preset standard indoor environment state comprises the following steps of:
step A21, calculating a difference value between the indoor environment state prediction vector and a value on each bit position in the standard environment state representation vector to obtain a difference value vector;
and step A22, inputting the difference vector into a preset control action prediction model to predict the control action information.
In this embodiment, specifically, a difference between values on bit positions of the same arrangement position between the indoor environment state prediction vector and the standard environment state representation vector is calculated to obtain a difference vector, and the difference vector is input into a preset control action prediction model to be mapped into control action information, where the control action information at least includes a control action tag corresponding to an indoor environment feature and a corresponding control action score.
The embodiment of the application provides a method for predicting control action information according to a time sequence neural network model and time sequence data, namely, firstly inputting the indoor environment information, the equipment state information and the outdoor environment information into a preset environment change prediction model, predicting the environment state of a target indoor space after a preset time period to obtain an indoor environment state prediction result, further generating the control action information according to the difference degree between the indoor environment state prediction result and a preset standard indoor environment state, namely, predicting the indoor environment state of the target indoor space after the preset time period under the condition of keeping the current equipment state and the outdoor environment state, further generating the control action information according to the difference degree between the predicted indoor environment state and the preset standard indoor environment state, and then can carry out feedback regulation to the equipment running state of each intelligent household equipment through the control action information, can impel the indoor environment state of target indoor space always to close to preset standard indoor environment state, so, promoted intelligent household equipment's control accuracy.
Referring to fig. 3, fig. 3 is a schematic device structure diagram of a hardware operating environment according to an embodiment of the present application.
As shown in fig. 3, the environment control apparatus based on the 5G smart space may include: a processor 1001, such as a CPU, a memory 1005, and a communication bus 1002. The communication bus 1002 is used for realizing connection communication between the processor 1001 and the memory 1005. The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a memory device separate from the processor 1001 described above.
Optionally, the environment control device based on the 5G smart space may further include a rectangular user interface, a network interface, a camera, an RF (Radio Frequency) circuit, a sensor, a hard disk circuit, a WiFi module, and the like. The rectangular user interface may comprise a Display screen (Display), an input sub-module such as a Keyboard (Keyboard), and the optional rectangular user interface may also comprise a standard wired interface, a wireless interface. The network interface may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface).
Those skilled in the art will appreciate that the 5G smart space-based environmental control device configuration shown in fig. 3 does not constitute a limitation of a 5G smart space-based environmental control device, and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components.
As shown in fig. 3, a memory 1005, which is a kind of computer storage medium, may include an operating system, a network communication module, and a 5G smart space-based environment-aware program therein. The operating system is a program for managing and controlling hardware and software resources of the environment control equipment based on the 5G smart space, and supports the running of the environment perception program based on the 5G smart space and other software and/or programs. The network communication module is used for realizing communication among the components in the memory 1005 and communication with other hardware and software in the environment control device based on the 5G intelligent space.
In the environment control device based on 5G smart space shown in fig. 3, the processor 1001 is configured to execute a 5G smart space-based environment sensing program stored in the memory 1005, and implement the steps of the 5G smart space-based environment control system described in any one of the above.
The specific implementation of the environment control device based on the 5G smart space is basically the same as the above embodiments of the environment control system based on the 5G smart space, and is not repeated here.
The embodiment of this application still provides an environmental control device based on 5G wisdom space, environmental control device based on 5G wisdom space is applied to the environmental control equipment based on 5G wisdom space, environmental control device based on 5G wisdom space includes:
the environment sensing module is used for acquiring indoor environment information acquired by an indoor sensor in a target indoor space, outdoor environment information acquired by an outdoor sensor outside the target indoor space and equipment state information corresponding to all intelligent household equipment in the target indoor space;
the equipment control decision analysis module is used for carrying out control decision analysis on each intelligent household equipment according to the indoor environment information, the equipment state information and the outdoor environment information to obtain control action information;
the control signal generation module is used for generating linkage control signals according to the control action information and the control input information of each intelligent household device;
and the equipment linkage control module is used for carrying out linkage control on each intelligent household equipment according to the linkage control signal.
Optionally, the device control decision analysis module is further configured to:
inputting the indoor environment information, the equipment state information and the outdoor environment information into a preset control action prediction model, and predicting the control action of each intelligent household equipment to obtain a control action prediction result;
selecting each target control action score from the control action prediction result based on a preset control action score threshold value;
generating the control action information based on each of the target control action scores and the control action prediction results.
Optionally, the device control decision analysis module is further configured to:
predicting the environmental state of the target indoor space after a preset time period by inputting the indoor environmental information, the equipment state information and the outdoor environmental information into a preset environmental change prediction model to obtain an indoor environmental state prediction result;
and generating the control action information according to the difference degree between the indoor environment state prediction result and a preset standard indoor environment state.
Optionally, the device control decision analysis module is further configured to:
the step of generating the control action information according to the degree of difference between the indoor environment state prediction result and a preset standard indoor environment state includes:
calculating the difference value between the indoor environment state prediction vector and the numerical value on each bit position in the standard environment state representation vector to obtain a difference value vector;
and predicting the control action information by inputting the difference vector into a preset control action prediction model.
Optionally, the control signal generating module is further configured to:
determining a control action module corresponding to each control action label in the control action information;
and respectively inputting the control input information of each intelligent household device into the corresponding control action module to output the linkage control signal.
Optionally, the environment awareness module is further configured to:
acquiring indoor temperature information, corresponding indoor humidity information and corresponding indoor air quality information corresponding to the target indoor space through the indoor sensor, and acquiring outdoor temperature information, corresponding outdoor humidity information and corresponding outdoor air quality information corresponding to the target indoor space through the outdoor sensor;
generating indoor environment information according to the indoor temperature information, the indoor humidity information and the indoor air quality information, and generating outdoor environment information according to the outdoor temperature information, the outdoor humidity information and the outdoor air quality information;
and acquiring the equipment running state of each intelligent household equipment, and generating the equipment state information according to the equipment running state.
Optionally, the device linkage control module is further configured to:
receiving a device control command input by a user and generating an intervention control signal corresponding to the device control command;
and fusing the linkage control signal and the intervention control signal into interactive linkage control information, and performing interactive linkage control on each intelligent household device according to the interactive linkage control information.
The specific implementation of the environment control device based on the 5G smart space is substantially the same as the above embodiments of the environment control system based on the 5G smart space, and is not repeated here.
The embodiment of the present application provides a readable storage medium, and the readable storage medium stores one or more programs, which can be further executed by one or more processors for implementing the steps of any one of the above-mentioned 5G smart space-based environment control systems.
The specific implementation of the readable storage medium of the present application is substantially the same as the embodiments of the environment control system based on the 5G smart space, and will not be described herein again.
The present application provides a computer program product, and the computer program product includes one or more computer programs, which can also be executed by one or more processors for implementing the steps of the 5G smart space-based environment control system described in any one of the above.
The specific implementation of the computer program product of the present application is substantially the same as the embodiments of the environment control system based on the 5G smart space, and will not be described herein again.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings, or which are directly or indirectly applied to other related technical fields, are included in the scope of the present application.
Claims (7)
1. The utility model provides an environmental control system based on 5G wisdom space, a serial communication port, environmental control system based on 5G wisdom space includes host system, intelligent house equipment, indoor sensor and outdoor sensor based on 5G communication intercommunication connection, host system is used for:
acquiring indoor environment information acquired by an indoor sensor in a target indoor space, outdoor environment information acquired by an outdoor sensor outside the target indoor space and equipment state information corresponding to all intelligent household equipment in the target indoor space;
performing control decision analysis on each intelligent household device according to the indoor environment information, the state information of each device and the outdoor environment information to obtain control action information;
determining a control action module corresponding to each control action label in the control action information, further selecting module input information of each control action module from the control input information of each intelligent household device, further inputting each module input information into the corresponding control action module respectively to obtain output of each control action module, and further performing weighted average on control signals belonging to the same intelligent household device in the output of each control action module according to a control action score in each control action information to obtain a linkage control signal;
performing linkage control on each intelligent household device according to the linkage control signal;
the step of performing control decision analysis on each intelligent household device according to the indoor environment information, the device state information and the outdoor environment information to obtain control action information includes:
predicting the environment state of the target indoor space after a preset time period by inputting the indoor environment information, the equipment state information and the outdoor environment information into a preset environment change prediction model to obtain an indoor environment state prediction result, wherein the indoor environment state prediction result comprises an indoor environment state prediction vector, and the preset standard indoor environment state comprises a standard environment state expression vector;
calculating the difference value between the indoor environment state prediction vector and the numerical value on each bit position in the standard environment state representation vector to obtain a difference value vector;
and predicting the control action information by inputting the difference vector into a preset control action prediction model.
2. The environment control system according to claim 1, wherein the step of performing control decision analysis on each smart home device according to the indoor environment information, the device status information, and the outdoor environment information to obtain control action information comprises:
the indoor environment information, the equipment state information and the outdoor environment information are input into a preset control action prediction model, control action prediction is carried out on each intelligent household equipment, and a control action prediction result is obtained, wherein the control action prediction result comprises a control action label and a control action prediction probability, and the control action prediction probability is a control action score;
taking each control action score exceeding a preset control action score threshold value as a target control action score;
and selecting a target control action label corresponding to each target control action score, and taking a vector formed by each target control action score and each target control action label as the control action information.
3. The environment control system according to claim 1, wherein the step of acquiring indoor environment information collected by an indoor sensor in a target indoor space, outdoor environment information collected by an outdoor sensor outside the target indoor space, and device status information corresponding to the smart home devices in the target indoor space comprises:
acquiring indoor temperature information, corresponding indoor humidity information and corresponding indoor air quality information corresponding to the target indoor space through the indoor sensor, and acquiring outdoor temperature information, corresponding outdoor humidity information and corresponding outdoor air quality information corresponding to the target indoor space through the outdoor sensor;
generating indoor environment information according to the indoor temperature information, the indoor humidity information and the indoor air quality information, and generating outdoor environment information according to the outdoor temperature information, the outdoor humidity information and the outdoor air quality information;
and acquiring the equipment running state of each intelligent household equipment, and generating the equipment state information according to the equipment running state.
4. The environment control system according to claim 1, wherein the step of performing coordinated control on each smart home device according to the coordinated control signal comprises:
receiving a device control command input by a user and generating an intervention control signal corresponding to the device control command;
and fusing the linkage control signal and the intervention control signal into interactive linkage control information, and performing interactive linkage control on each intelligent household device according to the interactive linkage control information.
5. The utility model provides an environmental control unit based on 5G wisdom space which characterized in that, environmental control unit based on 5G wisdom space includes:
the environment sensing module is used for acquiring indoor environment information acquired by an indoor sensor in a target indoor space, outdoor environment information acquired by an outdoor sensor outside the target indoor space and equipment state information corresponding to all intelligent household equipment in the target indoor space;
the equipment control decision analysis module is used for carrying out control decision analysis on each intelligent household equipment according to the indoor environment information, the equipment state information and the outdoor environment information to obtain control action information;
the control signal generation module is used for determining a control action module corresponding to each control action label in the control action information, further selecting module input information of each control action module from the control input information of each intelligent household device, further inputting each module input information into the corresponding control action module respectively to obtain output of each control action module, and further performing weighted average on the control signals belonging to the same intelligent household device in the output of each control action module according to the control action score in each control action information to obtain a linkage control signal;
the equipment linkage control module is used for carrying out linkage control on each intelligent household equipment according to the linkage control signal;
wherein the device control decision analysis module is further to:
predicting the environment state of the target indoor space after a preset time period by inputting the indoor environment information, the equipment state information and the outdoor environment information into a preset environment change prediction model to obtain an indoor environment state prediction result, wherein the indoor environment state prediction result comprises an indoor environment state prediction vector, and the preset standard indoor environment state comprises a standard environment state expression vector;
calculating the difference value between the indoor environment state prediction vector and the numerical value on each bit position in the standard environment state representation vector to obtain a difference value vector;
and predicting the control action information by inputting the difference vector into a preset control action prediction model.
6. The utility model provides an environmental control equipment based on 5G wisdom space which characterized in that, environmental control equipment based on 5G wisdom space includes: a memory, a processor, and a program stored on the memory for implementing the 5G smart space-based environmental control system,
the memory is used for storing a program for realizing the environment control system based on the 5G intelligent space;
the processor is used for executing the program for implementing the 5G smart space-based environment control system to implement the steps of the 5G smart space-based environment control system according to any one of claims 1 to 4.
7. A readable storage medium, wherein the readable storage medium stores thereon a program for implementing a 5G smart space-based environment control system, and the program for implementing the 5G smart space-based environment control system is executed by a processor to implement the steps of the 5G smart space-based environment control system according to any one of claims 1 to 4.
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| CN117268460B (en) * | 2023-08-16 | 2024-04-09 | 广东省泰维思信息科技有限公司 | Indoor and outdoor linkage monitoring method and system based on Internet of Things |
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