CN112781169A

CN112781169A - Comfort index adjusting method and device, storage medium and electronic device

Info

Publication number: CN112781169A
Application number: CN202011639786.3A
Authority: CN
Inventors: 徐军锋
Original assignee: Qingdao Haier Technology Co Ltd; Haier Smart Home Co Ltd
Current assignee: Qingdao Haier Technology Co Ltd; Haier Smart Home Co Ltd
Priority date: 2020-12-31
Filing date: 2020-12-31
Publication date: 2021-05-11

Abstract

The embodiment of the invention provides a comfort index adjusting method, a comfort index adjusting device, a storage medium and an electronic device, wherein the method comprises the following steps: acquiring environmental parameter information measured by first Internet of things equipment in a target area; determining a first comfort index for the target area based on the environmental parameter information; determining a second comfort index corresponding to a target object located in the target area; comparing the first comfort degree index with the second comfort degree index, determining a comparison value of the first comfort degree index and the second comfort degree index, and adjusting the operation parameters of second networking equipment in the target area under the condition that the comparison value does not meet a preset condition; and controlling the second networking equipment to operate based on the operation parameters so that the comparison value of the comfort degree index of the target area and the second comfort degree index meets the preset condition. According to the invention, the problems that extra equipment is needed for adjusting the comfort index and the cost is high in the related technology are solved, and the effect of saving the cost is achieved.

Description

Comfort index adjusting method and device, storage medium and electronic device

Technical Field

The embodiment of the invention relates to the field of communication, in particular to a comfort index adjusting method, a comfort index adjusting device, a storage medium and an electronic device.

Background

With the development of the internet, the demand for personalization is particularly prominent, and services personalized to users are required by various internet companies or systems. As living conditions become superior, people are particularly important to the health of their bodies. Health alerts serve most data-specific devices with this capability.

In the related art, professional equipment is generally required to obtain environmental data around a user, determine a comfort index of an environment, and when the comfort index does not meet a condition, professional equipment environmental parameters are also required to enable the comfort index to meet the condition.

Therefore, the related art has the problems that additional equipment is needed for adjusting the comfort index, and the cost is high.

In view of the above problems in the related art, no effective solution has been proposed.

Disclosure of Invention

The embodiment of the invention provides a comfort index adjusting method, a comfort index adjusting device, a storage medium and an electronic device, and aims to at least solve the problems that extra equipment is needed for adjusting the comfort index and the cost is high in the related technology.

According to an embodiment of the present invention, there is provided a comfort index adjustment method including: acquiring environmental parameter information measured by first Internet of things equipment in a target area; determining a first comfort index for the target area based on the environmental parameter information; determining a second comfort index corresponding to a target object located in the target area; comparing the first comfort degree index with the second comfort degree index, determining a comparison value of the first comfort degree index and the second comfort degree index, and adjusting the operation parameters of the second networking equipment in the target area under the condition that the comparison value does not meet a preset condition; and controlling the second networking equipment to operate based on the operation parameter so that the comparison value of the comfort degree index of the target area and the second comfort degree index meets the preset condition.

According to another embodiment of the present invention, there is provided a comfort index notification apparatus including: the measuring module is used for acquiring environmental parameter information measured by first Internet of things equipment in a target area; a first determination module for determining a first comfort index for the target area based on the environmental parameter information; the second determining module is used for determining a second comfort index corresponding to the target object in the target area; the adjusting module is used for comparing the first comfort degree index with the second comfort degree index, determining a comparison value of the first comfort degree index and the second comfort degree index, and adjusting the operation parameters of the second networking equipment in the target area under the condition that the comparison value does not meet a preset condition; and the control module is used for controlling the second networking equipment to operate based on the operation parameters so that the comparison value of the comfort degree index of the target area and the second comfort degree index meets the preset condition.

According to a further embodiment of the present invention, there is also provided a computer-readable storage medium having a computer program stored thereon, wherein the computer program is arranged to perform the steps of any of the above method embodiments when executed.

According to yet another embodiment of the present invention, there is also provided an electronic device, including a memory in which a computer program is stored and a processor configured to execute the computer program to perform the steps in any of the above method embodiments.

According to the method and the device, the environmental parameter information measured by the first Internet of things equipment in the target area is obtained, the first comfort degree index of the target area is determined according to the environmental parameter information, the second comfort degree index corresponding to the target object in the target area is determined, the first comfort degree index and the second comfort degree index are compared, the operation parameters of the second networking equipment are adjusted under the condition that the comparison value of the first comfort degree index and the second comfort degree index does not meet the preset condition, and the second networking equipment is controlled to operate according to the operation parameters, so that the comparison value of the comfort degree index and the second comfort degree index in the target area meets the preset condition. Because the environmental parameters of the target area can be obtained by directly utilizing the first Internet of things equipment arranged in the target area, when the comparison value does not meet the preset condition, the operation parameters of the second Internet of things equipment can be automatically adjusted, and the second Internet of things equipment is controlled to operate so as to adjust the comfort level index in the target area, so that the comparison value of the comfort level index in the target area and the second comfort level index meets the preset condition, and other equipment does not need to be installed. Therefore, the problems that extra equipment is needed for adjusting the comfort index and the cost is high in the related technology can be solved, and the effect of saving the cost is achieved.

Drawings

Fig. 1 is a block diagram of a hardware structure of a mobile terminal of a comfort index adjusting method according to an embodiment of the present invention;

fig. 2 is a flow chart of a method of adjusting a comfort index according to an embodiment of the invention;

FIG. 3 is a method of adjusting a comfort index according to an embodiment of the present invention;

fig. 4 is a block diagram of a comfort index adjustment device according to an embodiment of the present invention.

Detailed Description

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings in conjunction with the embodiments.

It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.

The method embodiments provided in the embodiments of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. Taking the example of the method running on the mobile terminal, fig. 1 is a hardware structure block diagram of the mobile terminal of the comfort index adjusting method according to the embodiment of the present invention. As shown in fig. 1, the mobile terminal may include one or more (only one shown in fig. 1) processors 102 (the processor 102 may include, but is not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA), and a memory 104 for storing data, wherein the mobile terminal may further include a transmission device 106 for communication functions and an input-output device 108. It will be understood by those skilled in the art that the structure shown in fig. 1 is only an illustration, and does not limit the structure of the mobile terminal. For example, the mobile terminal may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.

The memory 104 may be used to store a computer program, for example, a software program and a module of application software, such as a computer program corresponding to the comfort index adjusting method in the embodiment of the present invention, and the processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, so as to implement the above-mentioned method. The memory 104 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory located remotely from the processor 102, which may be connected to the mobile terminal over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The transmission device 106 is used to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a Network adapter (NIC) that can be connected to other Network devices through a base station to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is used to communicate with the internet in a wireless manner.

In the present embodiment, a comfort index adjusting method is provided, and fig. 2 is a flowchart of a comfort index adjusting method according to an embodiment of the present invention, as shown in fig. 2, the flowchart includes the following steps:

step S202, obtaining environmental parameter information obtained through measurement of first Internet of things equipment in a target area;

step S204, determining a first comfort index of the target area based on the environmental parameter information;

step S206, determining a second comfort index corresponding to the target object in the target area;

step S208, comparing the first comfort degree index with the second comfort degree index, determining a comparison value of the first comfort degree index and the second comfort degree index, and adjusting the operation parameters of the second networking equipment in the target area under the condition that the comparison value does not meet a preset condition;

step S210, controlling the second networking device to operate based on the operation parameter, so that the comparison value between the comfort level index of the target area and the second comfort level index satisfies the predetermined condition.

In the above embodiment, the target area may be a home environment, an office environment, a market, a factory, etc., and when the target area is a home environment, the first internet of things device may be an intelligent home device having a function of collecting environmental parameter information, wherein the environmental parameter information may be temperature, humidity, air quality, etc., and the first internet of things device may be an air conditioner, a humidifier, an air purifier, etc. For example, an air conditioner may measure a temperature of a target area, a humidifier may measure a humidity of the target area, and an air purifier may measure an air quality value of the target area. It should be noted that the temperature, humidity, and air quality values of the target area may be measured by the above-mentioned devices, or may be measured by other internet of things devices having a function of measuring environmental parameters.

After the first internet of things device measures the environmental parameter information, the environmental parameter information can be reported to a server in the intelligent home system, and the server determines a first comfort index of the target area according to the environmental parameter information. The server can also determine a second comfort index corresponding to the target object according to the previously reported state information of the target object. And under the condition that the comparison value between the first comfort degree index and the second comfort degree index does not meet the preset condition, adjusting the operation parameter of the second networking equipment, and controlling the second networking equipment to operate on the basis of the operation parameter, so that the comparison value between the comfort degree index of the target area and the second comfort degree index meets the preset condition.

In the above embodiments, the first comfort index may be determined by environmental parameter information, which may include various parameter information, such as temperature, humidity, and the like. Therefore, when the comparison value is determined not to satisfy the predetermined condition, the environmental parameter that causes the first comfort index not to satisfy the predetermined condition may be determined first, and the second networked device may be determined according to the environmental parameter, for example, when the first comfort index does not satisfy the predetermined condition due to temperature, the second networked device may be determined to be an air conditioner, and the operating parameter of the air conditioner may be adjusted so that the comparison value satisfies the predetermined condition. For example, when the environmental parameter information includes temperature and humidity, it is determined that the first comfort index is 10, and the second comfort index corresponding to the target object is 15, and it is determined that the first comfort index does not satisfy the predetermined condition, parameters of the internet of things devices such as an air conditioner and a humidifier may be adjusted to operate according to the adjusted parameters, so that the first comfort index satisfies the predetermined condition. The comparison value may be a difference between the first comfort index and the second comfort index, and when the comparison value is a difference, the predetermined condition may be that the difference between the first comfort index and the second comfort index is zero, or that an absolute value of the difference between the first comfort index and the second comfort index is within a predetermined range, for example, the absolute value of the difference between the first comfort index and the second comfort index is within 2 (the value is only an exemplary illustration, and the value is not limited by the present invention, and may also be 1,3, and the like). The operating parameter may be a parameter at which the second networked device is operating, such as a power parameter, a voltage parameter, a current parameter, and the like. It may also be a target parameter of the second networked device, for example, when the second networked device is an air conditioner, the operation parameter may be 26 ℃, that is, the air conditioner operates at a target temperature of 26 ℃.

Optionally, the main body of the above steps may be a server, a background processor, or other devices with similar processing capabilities, and may also be a machine integrated with at least a data processing device, where the data processing device may include a terminal such as a computer, a mobile phone, and the like, but is not limited thereto.

When the execution subject of the above steps is the server, the data acquired by the first internet of things device may be stored in a message queue in the server, for example, Kafka, and the server analyzes the data of the environmental parameter information stored in Kafka in real time, classifies the data, and determines the first comfort index. The server can also cache offline data, such as corresponding relation data of chronic diseases, common diseases and environmental parameters, case data, state data of the target object and the like, determine a second comfort degree parameter of the target object according to the data, and determine diagnosis data according to the first comfort degree index and the second comfort degree index. And determining the content to be pushed to the target object according to the relevant binding data of the target object. The binding data may be habitual environment parameter data of the target object, i.e. preference data of the target object. The specific schematic diagram of the comfort index adjustment method can be seen in fig. 3.

In an exemplary embodiment, determining the second comfort index corresponding to the target object located in the target area comprises: acquiring first state information of the target object; and determining the second comfort level index corresponding to the first state information based on a predetermined target corresponding relation, wherein the target corresponding relation is used for indicating the relation between the state information and the comfort level index. In this embodiment, the first status information may be health information of the target object, wherein the first status information may be information input to the server in advance. The server may collect the target disease information, determine a correspondence between the target disease information and the environmental parameter, and determine a second comfort index of the target object according to the correspondence.

In an exemplary embodiment, before determining the second comfort index to which the first status information corresponds based on a predetermined target correspondence, the method further comprises: acquiring offline data, and determining second state information of a plurality of objects included in the offline data and an environment parameter corresponding to each second state information; classifying the second state information based on the type of the state information to determine multi-type state information; determining comfort level indexes respectively corresponding to the multiple types of state information based on the environment parameters; and determining the corresponding relation of the comfort indexes respectively corresponding to the multi-class state information and the multi-class state information as the target corresponding relation. In this embodiment, the server may acquire, in advance, offline data including the second state information of the plurality of objects and the environment parameter corresponding to each of the second state information. Such as pathological information data, chronic disease data, or common disease data. And determining environmental influence factors (namely environmental parameters) corresponding to the chronic diseases or the common diseases through offline data, and determining comfort level indexes corresponding to the chronic diseases or the common diseases according to the environmental parameters so as to determine the target corresponding relation.

In the embodiment, the change condition of the user environment can be tracked according to the real-time computing framework, the relationship between the current environment and the disease is judged, the relationship between the disease and the temperature and the humidity is determined artificially according to the pathological knowledge of the disease, and the comfort level is given according to the human body. For example, rheumatism: the disease is caused by the fact that the humidity is high, the temperature is relatively low and the like, and a comfort value and a disease value are given. The second comfort index is used to indicate in what circumstances a person with the disease may be more comfortable. Of course, the degree of illness may also be determined from environmental parameters, i.e. the probability that an unsuccessfully ill person may be ill in this environment. For example, rheumatism: comfort is 5 because the lower the humidity, the higher the temperature. Obtaining the degree of illness: the higher the humidity, the lower the temperature 25. This value is matched with the calculated value to obtain a message prompt for the relevant disease.

In an exemplary embodiment, determining a first comfort index for the target area based on the environmental parameter information comprises: determining a first environmental parameter and a second environmental parameter included in the environmental parameter information within a predetermined time; determining a first comfort index for the target area based on the first environmental parameter and the second environmental parameter. In this embodiment, the environmental parameter information is usually changed, so that the change amount of the environmental parameter in the predetermined time can be determined by calculating the frame flink in real time, and the first comfort index is determined according to the change amount. The predetermined time may be 30min, 1h, which is not limited in the present invention. In addition, the environmental parameter information may include a preset number of environmental parameters, and the first comfort index may be determined according to the preset number of environmental parameters. When the preset number is 2, that is, the environment parameter information includes the first environment parameter and the second environment parameter, the first comfort index may be determined according to the first environment parameter and the second environment parameter.

In an exemplary embodiment, determining the first comfort index based on the first environmental parameter and the second environmental parameter comprises: determining a first average value of the first environmental parameter; determining a second average value of the second environmental parameter; determining a product of the second average value and a first constant, wherein the first constant is a constant determined by the first environmental parameter and the second environmental parameter; determining a difference of the first average and the product as the first comfort index. In this embodiment, the environment around the smart home device may be monitored by using the real-time computing frame flink, and the detected data is classified and analyzed for changes in the data, so as to determine the first comfort index. For example, when the measured environmental parameters include temperature and humidity, it is possible to analyze the amount of change in temperature, e.g., increase or decrease, and the amount of change in humidity, e.g., increase or decrease, over a predetermined period of time, and how much difference between the increase and decrease can be determined. Based on the temperature data and the humidity data, a regression algorithm, a least squares method of linear regression, may be used to determine the first comfort index. The least squares formula (for the form y ═ ax + b) can be expressed as

Where y denotes humidity, x denotes temperature, data within an interval (e.g. the previous hour), a denotes a first constant, i.e. the first constant is determined by a measured environmental parameter, and b denotes a first comfort index. The first comfort index indicates that there is a value at which temperature and humidity are most suitable for the human body. Theoretically, the optimum temperature should be about 20 degrees celsius, the humidity should be 30% -40%, the median value is 35%, and the value of b should be about 15 (which can be artificially calculated)The stator 15).

In an exemplary embodiment, after determining the comparison value of the first comfort index and the second comfort index, the method further comprises: generating prompt information; and controlling third Internet of things equipment in the target area to broadcast the prompt message. In this embodiment, the usage habits of the user can be labeled by collecting the data of the surrounding environment of the program landing device and the life habit information of the user in real time. The big data real-time computing platform can monitor the user equipment which starts the signing cloud prediction in real time, and analyzes the environmental data behavior data in real time according to the data acquired after the user starts the machine, so as to carry out tagging. The big data real-time computing platform reports the environmental data collected by the data sensor in real time according to the user equipment, and if the obtained temperature, humidity and the like are relatively mild, the user is only required to be reminded of information such as proper motion. If the temperature is low, the season is in spring and autumn, the user is reminded to keep warm, pay attention to influenza and related attention to related chronic diseases. When the comparison value of the first comfort index and the second comfort index meets the predetermined condition, the prompt message may include a sport prompt, a health promotion prompt, and the like. When the comparison value of the first comfort degree index and the second comfort degree index meets the non-predetermined condition, the prompt message may include a prompt for adjusting the second networking device, and the like. For example, when the comparison value satisfies a predetermined condition, a voice prompt may be broadcast through a third internet of things device (e.g., a speaker) to remind the user of doing sports, health care, and the like. When the comparison value does not meet the preset conditions, voice prompts can be broadcasted through the Internet of things equipment, the user is reminded that the current environment is not suitable, and the intelligent household equipment, the window opening ventilation and the like can be adjusted.

In one exemplary embodiment, generating the hint information includes: determining a prevalence index corresponding to the environmental parameter information based on the environmental parameter information under the condition that the comparison value does not meet a predetermined condition; and generating prompt information based on the prevalence index. In this embodiment, when the comparison value does not satisfy the predetermined condition, the server may determine the prevalence index corresponding to the current environmental parameter information, that is, the prevalence index and the prevalence type in the area living for a long time. And the disease index and the disease type are added into the prompt message, and a third internet of things device is used for broadcasting the message, for example, the current environment humidity is high, so that the comparison value does not meet the condition, and the disease index is 30, so that the current environment humidity is high, rheumatism is easy to suffer, the window opening ventilation is noticed, the humidifier is closed, the air-conditioning dehumidification mode is opened, and the like can be broadcasted through the internet of things device.

In the foregoing embodiments, the ambient environment parameters, such as air quality parameters (e.g., PM2.5), humidity, temperature, and the like, may be obtained through the device data (sensor data) of the cloud (server), so as to flexibly collect the environment information. Independent equipment is not needed, too much equipment is not needed to be carried about, and the real-time environmental data can be obtained only by the equipment in the Internet of things, so that prompt reminding of chronic diseases or common diseases is made. Through information analysis of the cloud end on the user equipment and the surrounding environment of the user equipment, weather changes in a short time are obtained, factors are formed according to the adaptation seasons and the disease mechanism characteristics, and affected people are obtained, so that the user is served.

Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.

In this embodiment, a comfort index adjusting device is further provided, and the comfort index adjusting device is used to implement the foregoing embodiments and preferred embodiments, which have already been described and will not be described again. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.

Fig. 4 is a block diagram of a comfort index adjusting apparatus according to an embodiment of the present invention, as shown in fig. 4, the apparatus including:

a measurement module 402, configured to obtain environmental parameter information measured by a first internet of things device in a target area;

a first determining module 404 for determining a first comfort index of the target area based on the environmental parameter information;

a second determining module 406, configured to determine a second comfort index corresponding to the target object located in the target area;

an adjusting module 408, configured to compare the first comfort index with the second comfort index, determine a comparison value of the first comfort index and the second comfort index, and adjust an operating parameter of a second networking device in the target area if the comparison value does not satisfy a predetermined condition;

a control module 410, configured to control the second networking device to operate based on the operation parameter, so that the comparison value between the comfort level index of the target area and the second comfort level index satisfies the predetermined condition.

In an exemplary embodiment, the second determining module 406 may determine the second comfort index corresponding to the target object located in the target area by: acquiring first state information of the target object; and determining the second comfort level index corresponding to the first state information based on a predetermined target corresponding relation, wherein the target corresponding relation is used for indicating the relation between the state information and the comfort level index.

In an exemplary embodiment, the apparatus may be configured to, before determining the second comfort index corresponding to the first state information based on a predetermined target correspondence, obtain offline data, and determine second state information of a plurality of objects included in the offline data and an environmental parameter corresponding to each of the second state information; classifying the second state information based on the type of the state information to determine multi-type state information; determining comfort level indexes respectively corresponding to the multiple types of state information based on the environment parameters; and determining the corresponding relation of the comfort indexes respectively corresponding to the multi-class state information and the multi-class state information as the target corresponding relation.

In an exemplary embodiment, the first determining module 404 may determine the first comfort index of the target area based on the environmental parameter information by: determining a first environmental parameter and a second environmental parameter included in the environmental parameter information within a predetermined time; determining a first comfort index for the target area based on the first environmental parameter and the second environmental parameter.

In an exemplary embodiment, the first determination module 404 may determine the first comfort index based on the first environmental parameter and the second environmental parameter by: determining a first average value of the first environmental parameter; determining a second average value of the second environmental parameter; determining a product of the second average value and a first constant, wherein the first constant is a constant determined by the first environmental parameter and the second environmental parameter; determining a difference of the first average and the product as the first comfort index.

In an exemplary embodiment, the apparatus may be configured to generate a prompt after determining the comparison value of the first comfort index and the second comfort index; and controlling third Internet of things equipment in the target area to broadcast the prompt message.

In an exemplary embodiment, the apparatus may enable generating the hint information by: determining a prevalence index corresponding to the environmental parameter information based on the environmental parameter information under the condition that the comparison value does not meet a predetermined condition; and generating prompt information based on the prevalence index.

It should be noted that, the above modules may be implemented by software or hardware, and for the latter, the following may be implemented, but not limited to: the modules are all positioned in the same processor; alternatively, the modules are respectively located in different processors in any combination.

Embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, wherein the computer program is arranged to perform the steps of any of the above-mentioned method embodiments when executed.

In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to: various media capable of storing computer programs, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.

Embodiments of the present invention also provide an electronic device comprising a memory having a computer program stored therein and a processor arranged to run the computer program to perform the steps of any of the above method embodiments.

In an exemplary embodiment, the electronic apparatus may further include a transmission device and an input/output device, wherein the transmission device is connected to the processor, and the input/output device is connected to the processor.

For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary embodiments, and details of this embodiment are not repeated herein.

It will be apparent to those skilled in the art that the various modules or steps of the invention described above may be implemented using a general purpose computing device, they may be centralized on a single computing device or distributed across a network of computing devices, and they may be implemented using program code executable by the computing devices, such that they may be stored in a memory device and executed by the computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into various integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.

The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for adjusting a comfort index, comprising:

acquiring environmental parameter information measured by first Internet of things equipment in a target area;

determining a first comfort index for the target area based on the environmental parameter information;

determining a second comfort index corresponding to a target object located in the target area;

comparing the first comfort degree index with the second comfort degree index, determining a comparison value of the first comfort degree index and the second comfort degree index, and adjusting the operation parameters of the second networking equipment in the target area under the condition that the comparison value does not meet a preset condition;

and controlling the second networking equipment to operate based on the operation parameter so that the comparison value of the comfort degree index of the target area and the second comfort degree index meets the preset condition.

2. The method of claim 1, wherein determining a second comfort index for a target object located in the target region comprises:

acquiring first state information of the target object;

and determining the second comfort level index corresponding to the first state information based on a predetermined target corresponding relation, wherein the target corresponding relation is used for indicating the relation between the state information and the comfort level index.

3. The method according to claim 2, wherein prior to determining the second comfort index to which the first status information corresponds based on a predetermined target correspondence, the method further comprises:

acquiring offline data, and determining second state information of a plurality of objects included in the offline data and an environment parameter corresponding to each second state information;

classifying the second state information based on the type of the state information to determine multi-type state information;

determining comfort level indexes respectively corresponding to the multiple types of state information based on the environment parameters;

and determining the corresponding relation of the comfort indexes respectively corresponding to the multi-class state information and the multi-class state information as the target corresponding relation.

4. The method of claim 1, wherein determining a first comfort index for the target area based on the environmental parameter information comprises:

determining a first environmental parameter and a second environmental parameter included in the environmental parameter information within a predetermined time;

determining a first comfort index for the target area based on the first environmental parameter and the second environmental parameter.

5. The method of claim 4, wherein determining the first comfort index based on the first environmental parameter and the second environmental parameter comprises:

determining a first average value of the first environmental parameter;

determining a second average value of the second environmental parameter;

determining a product of the second average value and a first constant, wherein the first constant is a constant determined by the first environmental parameter and the second environmental parameter;

determining a difference of the first average and the product as the first comfort index.

6. The method of claim 1, wherein after determining the comparison value of the first comfort index and the second comfort index, the method further comprises:

generating prompt information;

and controlling third Internet of things equipment in the target area to broadcast the prompt message.

7. The method of claim 6, wherein generating the hint information comprises:

determining a prevalence index corresponding to the environmental parameter information based on the environmental parameter information under the condition that the comparison value does not meet a predetermined condition;

and generating prompt information based on the prevalence index.

8. A comfort index adjustment device, comprising:

the measuring module is used for acquiring environmental parameter information measured by first Internet of things equipment in a target area;

a first determination module for determining a first comfort index for the target area based on the environmental parameter information;

the second determining module is used for determining a second comfort index corresponding to the target object in the target area;

the adjusting module is used for comparing the first comfort degree index with the second comfort degree index, determining a comparison value of the first comfort degree index and the second comfort degree index, and adjusting the operation parameters of the second networking equipment in the target area under the condition that the comparison value does not meet a preset condition;

and the control module is used for controlling the second networking equipment to operate based on the operation parameters so that the comparison value of the comfort degree index of the target area and the second comfort degree index meets the preset condition.

9. A computer-readable storage medium, in which a computer program is stored, wherein the computer program is arranged to perform the method of any of claims 1 to 7 when executed.

10. An electronic device comprising a memory and a processor, wherein the memory has stored therein a computer program, and wherein the processor is arranged to execute the computer program to perform the method of any of claims 1 to 7.