CN110958570A - Wireless Internet of things data communication method and related device - Google Patents
Wireless Internet of things data communication method and related device Download PDFInfo
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Abstract
The embodiment of the application discloses a wireless Internet of things data communication method and a related device, which are applied to electronic equipment, wherein the method comprises the following steps: determining a plurality of internet of things devices; determining a communication mode between the electronic equipment and each of the plurality of Internet of things equipment to obtain a plurality of communication modes; and according to the plurality of communication modes, the electronic equipment and the plurality of Internet of things equipment form a target communication group. By adopting the embodiment of the application, the communication efficiency of the Internet of things can be improved.
Description
Technical Field
The application relates to the technical field of communication, in particular to a wireless Internet of things data communication method and a related device.
Background
Since the twenty-first century, the world is covered by intelligent, informational and intelligent waves, and the technical application of the internet of things as an important development stage of "information" and intelligence is permeated into various fields closely related to our lives and works, so as to connect enterprises, governments and consumers. The continuous expansion of internet connectivity and the high-speed popularization of mobile terminal equipment creates a good ecological environment for the application of multiple investment investments in the construction of the internet of things.
In the internet of things industrial environment, an enterprise is the largest application entity of the internet of things solution, and the enterprise includes two types of enterprises: the first is the manager and the user of the business space: along with the guidance of policies such as intelligent buildings, assembly type buildings and green cities in the commercial fields, the space of each business state such as hotels, scenic spots, business supermarkets, hospitals and the like needs the centralized management and control of large-area light, heating and ventilation and the like, and the energy-saving and efficient management demands are in urgent need of solution. Secondly, production and manufacturing enterprises: the technology of the internet of things can improve comprehensive competitiveness, improve productivity, develop a new market or develop a new product, and therefore the problem of how to improve the communication efficiency of the internet of things needs to be solved urgently.
Disclosure of Invention
The embodiment of the application provides a wireless Internet of things data communication method and a related device, and the communication efficiency of the Internet of things can be improved.
In a first aspect, an embodiment of the present application provides a wireless internet of things data communication method, which is applied to an electronic device, and the method includes:
determining a plurality of internet of things devices;
determining a communication mode between the electronic equipment and each of the plurality of Internet of things equipment to obtain a plurality of communication modes;
and according to the plurality of communication modes, the electronic equipment and the plurality of Internet of things equipment form a target communication group.
In a second aspect, an embodiment of the present application provides a wireless internet of things data communication device, which is applied to an electronic device, and the device includes: a first determining unit, a second determining unit and a networking unit, wherein,
the first determining unit is used for determining a plurality of internet of things devices;
the second determining unit is configured to determine a communication mode between the electronic device and each of the plurality of internet of things devices to obtain a plurality of communication modes;
the networking unit is used for forming a target communication group by the electronic equipment and the Internet of things equipment according to the plurality of communication modes.
In a third aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing the steps in the first aspect of the embodiment of the present application.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program enables a computer to perform some or all of the steps described in the first aspect of the embodiment of the present application.
In a fifth aspect, embodiments of the present application provide a computer program product, where the computer program product includes a non-transitory computer-readable storage medium storing a computer program, where the computer program is operable to cause a computer to perform some or all of the steps as described in the first aspect of the embodiments of the present application. The computer program product may be a software installation package.
The embodiment of the application has the following beneficial effects:
it can be seen that the wireless internet of things data communication method and the related device described in the embodiments of the present application are applied to an electronic device, and a plurality of communication modes are obtained by determining a plurality of pieces of internet of things devices and determining a communication mode between the electronic device and each piece of internet of things device in the plurality of pieces of internet of things devices, and the electronic device and the plurality of pieces of internet of things devices form a target communication group according to the plurality of communication modes.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1A is a schematic flowchart of a wireless internet of things data communication method provided in an embodiment of the present application;
FIG. 1B is a schematic illustration of an interface demonstration of a target communication group according to an embodiment of the present application;
fig. 1C is a schematic diagram illustrating a model of a data communication protocol of a wireless internet of things data communication method according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of another wireless internet of things data communication method provided in the embodiment of the present application;
fig. 3 is a schematic structural diagram of another electronic device provided in an embodiment of the present application;
fig. 4A is a block diagram illustrating functional units of a wireless data communication device of the internet of things according to an embodiment of the present disclosure;
fig. 4B is a block diagram illustrating functional units of another wireless internet of things data communication device according to an embodiment of the present disclosure.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The electronic device described in the embodiment of the present invention may include a smart Phone (e.g., an Android Phone, an iOS Phone, a Windows Phone, etc.), a tablet computer, a palm computer, a vehicle data recorder, a traffic guidance platform, a server, a notebook computer, a Mobile Internet device (MID, Mobile Internet Devices), or a wearable device (e.g., a smart watch, a bluetooth headset), which are merely examples, but are not exhaustive, and the electronic device may also be a server or a video matrix, which is not limited herein, and the electronic device may also be an Internet of things device.
In this embodiment of the application, the internet of things device may be at least one of the following: the intelligent lighting equipment, intelligent distribution box, intelligent switch controller, intelligent control panel, intelligent supply socket, intelligent gateway, intelligent coordinator, intelligent node, intelligent router, intelligent set-top box, intelligent ammeter, intelligent TV set, intelligent refrigerator, intelligent washing machine, intelligent massage chair, intelligent desk, intelligent air conditioner, intelligent humidifier, intelligent lampblack absorber, intelligent microwave oven, intelligent purifier, intelligent electric rice cooker, intelligent room heater, intelligent door, intelligent fan, intelligent water dispenser, intelligent curtain, intelligent closestool, smart mobile phone, intelligent security system, intelligent furniture, intelligent robot of sweeping the floor etc. do not restrict here, thing networking equipment still can be any electronic equipment above-mentioned.
The following describes embodiments of the present application in detail.
In the related art, the internet of things generally has the following two technical schemes:
scheme 1, a wired scheme: at present, the equipment management in large-area areas at home and abroad is a bus type management mode, the scheme is a weak-wire system, pipelines of a distribution box, a control box and the like need to be laid, the management mode is that a switch is not arranged on the site, the equipment control is generally only controlled by a central control room and a timing mode, and the use is inconvenient.
Scheme 2, wireless scheme: the existing wireless communication protocol, such as ZigBee, BLE Mesh and Wi-Fi, can realize wireless control of a small amount of equipment (generally less than 300) in a household or outdoor small-area range, and can be remotely controlled through a mobile phone App.
Based on the above scheme, the following defects exist:
[ Defect 1 ] Wired scheme: the wiring cost in the early stage is quite high, after the installation is completed, the upgrading and updating hardware is huge in modification cost, the maintenance cost is high, the workload of corresponding background development is also huge, the cost is high, and the control mode generally only adopts a central control room and timing control, so that the use is inflexible and inconvenient.
[ Defect 2 ] wireless scheme: the existing wireless communication protocol cannot realize centralized management of more than thousands of devices in a large-area. The existing ZigBee, BLE Mesh and Wi-Fi have respective limitations, the ZigBee and BLEMISH are developed on the basis of an Ad-Hoc multi-hop network, the Wi-Fi is in a star networking structure, the networking protocols have the common defect that the number of devices managed simultaneously is difficult to break through 300, and the communication delay is larger along with the increase of access devices, and the data packet loss is more serious.
Based on this, the embodiment of the application provides a wireless internet of things data communication method, which is applied to electronic equipment and comprises the following steps:
determining a plurality of internet of things devices;
determining a communication mode between the electronic equipment and each of the plurality of Internet of things equipment to obtain a plurality of communication modes;
and according to the plurality of communication modes, the electronic equipment and the plurality of Internet of things equipment form a target communication group.
It can be seen that the wireless internet of things data communication method described in the embodiment of the application is applied to electronic equipment, a plurality of communication modes are obtained by determining a plurality of pieces of internet of things equipment and determining the communication mode between the electronic equipment and each piece of internet of things equipment in the plurality of pieces of internet of things equipment, and the electronic equipment and the plurality of pieces of internet of things equipment form a target communication group according to the plurality of communication modes.
Referring to fig. 1A, fig. 1A is a schematic flow chart of a wireless internet of things data communication method provided in an embodiment of the present application, and is applied to an electronic device, as shown in the figure, the wireless internet of things data communication method includes:
101. a plurality of internet of things devices are determined.
In the embodiment of the application, the electronic equipment can be arranged in an indoor environment, and a plurality of internet of things equipment can be arranged in the indoor environment. The multiple internet of things devices may be located in the same area or different areas, for example, the multiple internet of things devices are located in the same building, and the multiple internet of things devices may form a local area network or a topological network.
In one possible example, the step 101 of determining a plurality of internet of things devices may include the following steps:
a11, searching equipment to obtain an equipment identification list;
a12, receiving a selection instruction;
and A13, responding to the selection instruction, and determining the plurality of Internet of things devices according to the device identification list.
The device identifier list may include a plurality of device identifiers, each device identifier may correspond to one internet of things device, and the device identifier may be at least one of the following: the device name, MAC address, device number, Integrated Circuit Card Identifier (ICCID), International Mobile Equipment Identifier (IMEI), device short address, IP address, and the like, which are not limited herein.
In specific implementation, the electronic device may perform device search, for example, wifi search may be performed, or bluetooth search may be performed, and then, a device identifier list may be obtained, the electronic device may receive a user input selection instruction, the selection instruction is used for selecting the internet of things device corresponding to the device identifier, and then, the electronic device may respond to the selection instruction, determine a plurality of internet of things devices according to the device identifier list, so that a device may be quickly searched, and select a device that the user wants to select.
In one possible example, the step 11 of determining a plurality of internet of things devices may include the following steps:
b11, acquiring target physiological state parameters;
b12, determining a target device set corresponding to the target physiological state parameter according to a mapping relation between preset physiological state parameters and the device set;
b13, determining the multiple Internet of things devices according to the target device set.
In an embodiment of the present application, the physiological state parameter may be at least one of: heart rate, brain waves, breathing parameters, mood type, etc., and not limited herein, the breathing parameters may be at least one of: respiratory rate, respiratory sound, respiratory amplitude, etc., without limitation. The mood type may be at least one of: anger, depression, distress, cry, fear, lonely, calm, happiness, etc., without limitation.
In specific implementation, the electronic device may be a wearable device, or the electronic device may be connected to the wearable device, and then the electronic device may obtain the target physiological state parameter, a mapping relationship between the preset physiological state parameter and the device set may be stored in the electronic device in advance, and then a target device set corresponding to the target physiological state parameter may be determined according to the mapping relationship between the preset physiological state parameter and the device set, and different device sets may include different combinations of internet of things devices, and then a plurality of internet of things devices may be determined according to the target device set, that is, part or all devices in the target device set may be used as the plurality of internet of things devices, so that selection of corresponding internet of things devices according to the physiological state of the user may be achieved.
Further, in a possible example, when the target physiological state parameter is the target emotion type, the step B11 of obtaining the target physiological state parameter may include the following steps:
b111, acquiring a heart rate change curve of a preset time period;
b112, determining an average heart rate value corresponding to the heart rate change curve;
b113, determining a target first emotion type set corresponding to the target average heart rate value according to a mapping relation between a preset heart rate value and the first emotion type set;
b113, uniformly sampling the heart rate change curve to obtain a plurality of heart rate values;
b114, determining a target mean square error according to the plurality of heart rate values;
b115, determining a target second emotion type set corresponding to the target mean square error according to a mapping relation between a preset mean square error and the second emotion type set;
b116, determining an intersection between the target first emotion type set and the target second emotion type set to obtain at least one emotion type;
b117, when the number of the at least one emotion type is 1, taking the at least one emotion type as the target emotion type;
and B118, when the number of the at least one emotion type is multiple, acquiring a mean square error corresponding to each emotion type in the multiple emotion types to obtain multiple mean square errors, determining the minimum value of the absolute value of the difference between the target mean square error and the multiple mean square errors, and taking the emotion type corresponding to the minimum value as the target emotion type.
Wherein, the preset time period can be set by the user or the default of the system. The electronic device may pre-store a mapping relationship between a preset heart rate value and the first emotion type set, and a mapping relationship between a preset mean square error and the second emotion type set.
In specific implementation, the electronic device may obtain a heart rate change curve of a preset time period, and since the heart rate change curve is a discrete curve, an average heart rate value corresponding to the heart rate change curve may be determined, and further, a target first emotion type set corresponding to the target average heart rate value may be determined according to a mapping relationship between the preset heart rate value and the first emotion type set, where the first emotion type set includes at least one emotion type. Furthermore, the electronic device can uniformly sample the heart rate change curve to obtain a plurality of heart rate values, and determine a target mean square error according to the plurality of heart rate values, wherein the mean square error reflects the mood fluctuation of the user to a certain extent, and the fluctuation ranges are different, so that the electronic device can determine a target second mood type set corresponding to the target mean square error according to the mapping relationship between the preset mean square error and the second mood type set.
Further, the electronic device may determine an intersection between the target first emotion type set and the target second emotion type set to obtain at least one emotion type, when the number of the at least one emotion type is 1, use the at least one emotion type as the target emotion type, when the number of the at least one emotion type is multiple, obtain a mean square error corresponding to each emotion type in the multiple emotion types to obtain multiple mean square errors, determine a minimum value of an absolute value of a difference between the target mean square error and the multiple mean square errors, and use an emotion type corresponding to the minimum value as the target emotion type, so that accurate emotion recognition may be achieved.
102. Determining a communication mode between the electronic equipment and each of the plurality of Internet of things equipment to obtain a plurality of communication modes.
In the embodiment of the present application, the communication mode may be at least one of the following: bluetooth communication, wireless fidelity (wifi) communication, infrared communication, mobile network communication, Near Field Communication (NFC), Ad hoc communication, and the like, without limitation. The electronic equipment and the plurality of Internet of things equipment can be communicated in one or more communication modes.
For example, the electronic device and the internet of things device A can communicate with each other through the communication mode A, the electronic device and the internet of things device B can communicate with each other through the communication mode B, and the electronic device and the internet of things device C can communicate with each other through the communication mode C.
In a possible example, in the step 102, determining a communication manner between the electronic device and each of the internet of things devices to obtain a plurality of communication manners may include the following steps:
21. determining target attribute information of an Internet of things device i, wherein the Internet of things device i is any one of the plurality of Internet of things devices;
22. and determining a target communication mode corresponding to the Internet of things equipment i according to a preset mapping relation between the attribute information and the communication mode.
In this embodiment, the attribute information may be at least one of the following: the device identification, the geographic position, the communication chip type, the distance between the internet of things device and the electronic device and the like are not limited, some internet of things devices may be provided with a wifi chip, some internet of things devices may not be provided with a wifi chip, but are provided with a bluetooth chip and the like.
In specific implementation, a mapping relation between preset attribute information and a communication mode can be prestored in the electronic device, the electronic device can determine target attribute information of the internet of things device i, the internet of things device i is any one of the plurality of internet of things devices, further, a target communication mode corresponding to the internet of things device i can be determined according to the mapping relation between the preset attribute information and the communication mode, and further, a proper communication mode can be selected for each internet of things device.
103. And according to the plurality of communication modes, the electronic equipment and the plurality of Internet of things equipment form a target communication group.
The electronic equipment and the Internet of things equipment can form a target communication group, namely a group, according to a plurality of communication modes, and different communication modes can be adopted among different equipment to realize communication.
In specific implementation, the electronic device can send networking invitations to the multiple internet of things devices respectively, the networking invitations carry communication modes, the internet of things devices can respond to the networking invitations and return confirmation messages, after the electronic device receives the confirmation messages, communication connection between the electronic device and the internet of things devices can be established according to corresponding communication modes, and then a target communication group can be formed.
Further, the electronic device may monitor the operating states of the multiple internet of things devices based on the target communication group, for example, check the power consumption of each internet of things device. As shown in fig. 1B, the operating status of each internet of things device may be monitored by the target communication group.
In one possible example, after the step 103, the following steps may be further included:
c1, determining the positions of the Internet of things equipment to obtain a plurality of positions;
c2, mapping the plurality of positions in an indoor map;
c3, forming the positions into closed areas;
c4, dividing the closed area into a plurality of independent areas;
c5, determining historical network connection records corresponding to each independent area in the plurality of independent areas to obtain a plurality of historical network connection records;
c6, evaluating the communication quality of each independent area in the independent areas according to the historical network connection records to obtain a plurality of communication quality evaluation values;
c7, selecting a maximum value from the plurality of communication quality evaluation values, and acquiring a target independent area corresponding to the maximum value;
and C8, prompting the user to move to the target independent area for communication.
In a specific implementation, the electronic device may determine the positions of a plurality of internet of things devices to obtain a plurality of positions, may obtain an indoor map, and maps the plurality of positions in the indoor map, where the plurality of positions may form a closed area, and further, may divide the closed area into a plurality of independent areas, where the area of each independent area is the same or different, determine a historical network connection record corresponding to each independent area in the plurality of independent areas, obtain a plurality of historical network connection records, evaluate the communication quality of each independent area in the plurality of independent areas according to the plurality of historical network connection records, obtain a plurality of communication quality evaluation values, since the networking records include the signal state of the internet of things devices that are accessed to the electronic device or are not accessed to the electronic device, may implement image quality evaluation according to the signal state, and further, may select a maximum value from the plurality of communication quality evaluation values, and the target independent area corresponding to the maximum value is obtained, and the user is prompted to move to the target independent area for communication, so that the best place can be provided for the user, and the communication efficiency of the Internet of things network is improved.
In one possible example, before step 101, the following steps may be further included:
d1, acquiring a target iris image;
d2, verifying the target iris image;
d3, when the target iris image is verified, executing step 101.
In the concrete implementation, the preset iris template can be stored in the electronic equipment in advance, the electronic equipment can be provided with an infrared camera, and the target iris image can be acquired or the preset iris template can be collected in a preset mode through the infrared camera. The electronic equipment can match the target iris image with the preset iris template, and when the target iris image is successfully matched with the preset iris template, the step 101 can be executed, otherwise, the subsequent steps can not be executed, so that the multiple internet of things equipment is determined, and the safety of the internet of things environment can be realized.
Further, in a possible example, the step D2 of verifying the target iris image may include the following steps:
d21, carrying out region segmentation on the target iris image to obtain a target iris region, wherein the target iris region is a region image only of an iris;
d22, performing binarization processing on the target iris area to obtain a binarized iris image;
d23, dividing the binary iris image into a plurality of regions, wherein the areas of the regions are the same;
d24, extracting the characteristic points of the binary iris image to obtain a plurality of characteristic points;
d25, determining the distribution density of the characteristic points corresponding to each of the plurality of areas according to the plurality of characteristic points to obtain a plurality of distribution densities of the characteristic points;
d26, determining the average characteristic point distribution density corresponding to the plurality of characteristic point distribution densities;
d27, determining the target definition corresponding to the target feature point distribution density according to the preset mapping relation between the feature point distribution density and the definition;
d28, determining a target mean square error according to the distribution densities of the plurality of feature points;
d29, determining a target adjusting coefficient corresponding to the target mean square error according to a mapping relation between a preset mean square error and an adjusting coefficient;
d210, adjusting the target definition according to the target adjustment coefficient to obtain the final definition;
d211, when the final definition is smaller than the preset definition, performing image enhancement processing on the target iris image, and matching the target iris image subjected to the image enhancement processing with a preset iris template to obtain a matching value;
d212, when the matching value is larger than a preset threshold value, determining that the target iris image is verified to be passed.
In a specific implementation, the preset threshold may be set by a user or default by the system. The electronic device may obtain a region segmentation of the target iris image to obtain a target iris region, where the target iris region may be a region that does not include a background but only includes an iris, that is, a region image of only an iris. And then, can carry out binarization processing to target iris region, obtain binary system iris image, so, can reduce the image complexity, divide into a plurality of regions to binary system iris image, the area size of each region is equal, and is greater than preset area value. Further, feature point extraction may be performed on the binarized iris image to obtain a plurality of feature points, and an algorithm of the feature extraction may be at least one of the following: scale Invariant Feature Transform (SIFT) algorithm or harris corner detection, etc.
Further, the electronic device may determine, according to the plurality of feature points, a feature point distribution density corresponding to each of the plurality of regions, obtain a plurality of feature point distribution densities, and determine an average feature point distribution density corresponding to the plurality of feature point distribution densities. The electronic device may pre-store a mapping relationship between a preset feature point distribution density and a definition, and further may determine a target definition corresponding to the target feature point distribution density according to the mapping relationship between the preset feature point distribution density and the definition, and since the definition is an overall definition and does not consider a correlation between neighborhoods, a target mean square error may be determined according to a plurality of feature point distribution densities, and the electronic device may also pre-store a mapping relationship between a preset mean square error and an adjustment coefficient, and further may determine a target adjustment coefficient corresponding to the target mean square error according to the mapping relationship between the preset mean square error and the adjustment coefficient, and adjust the target definition according to the target adjustment coefficient to obtain a final definition, wherein the adjustment coefficient may be preset or default, for example, the adjustment coefficient may be-0.18 to 0.18, the final sharpness is the target sharpness (1+ target adjustment factor), so that the image quality can be accurately analyzed to some extent.
Further, the electronic device may perform image enhancement processing on the target iris image when the final definition is smaller than the preset definition, and match the target iris image after the image enhancement processing with the preset iris template to obtain a matching value, otherwise, the target iris image does not need to perform image enhancement processing, but may directly match the target iris image with the preset iris template to obtain a matching value, when the matching value is larger than the preset threshold, it is determined that the target iris image is verified to pass, otherwise, it is determined that the target iris image is verified to fail.
The corresponding algorithm of the image enhancement processing can be at least one of the following algorithms: wavelet transformation, image denoising, gray stretching, histogram equalization, etc., and is not limited herein.
In one possible example, the electronic device may establish a communication connection with the internet of things device through a data communication protocol. As shown in fig. 1C, the data communication protocol includes a 4-layer model: the system comprises a data link layer, an encryption layer, a network layer and an application layer, wherein the data link layer can realize the following functions by a user: RF receiving, data retransmitting, converting a plurality of data packets into one data packet, RF transmitting, a receiving buffer and a transmitting buffer; the encryption layer is used for realizing encryption and decryption functions; the network layer is used for realizing the following functions: setting networking, heartbeat, channel management, message forwarding, message response and timestamp management functions; the application layer is used for realizing setting functions such as switching, RGB adjustment, infrared and the like, setting heartbeat report content and the like, and is not limited herein. Each layer is an independent module which can provide an upper layer calling interface and a lower layer calling interface, and efficient and safe data sending and receiving can be achieved through the model.
It can be seen that the wireless internet of things data communication method described in the embodiment of the application is applied to electronic equipment, a plurality of communication modes are obtained by determining a plurality of pieces of internet of things equipment and determining the communication mode between the electronic equipment and each piece of internet of things equipment in the plurality of pieces of internet of things equipment, and the electronic equipment and the plurality of pieces of internet of things equipment form a target communication group according to the plurality of communication modes.
Referring to fig. 2, fig. 2 is a schematic flow chart of a wireless internet of things data communication method provided in the embodiment of the present application, applied to an electronic device, consistent with the embodiment shown in fig. 1A, as shown in the figure, the wireless internet of things data communication method includes:
201. a plurality of internet of things devices are determined.
202. Determining a communication mode between the electronic equipment and each of the plurality of Internet of things equipment to obtain a plurality of communication modes.
203. And according to the plurality of communication modes, the electronic equipment and the plurality of Internet of things equipment form a target communication group.
204. And determining the positions of the plurality of Internet of things devices to obtain a plurality of positions.
205. Mapping the plurality of locations in an indoor map.
206. And forming the plurality of positions into a closed area.
207. Dividing the enclosed region into a plurality of independent regions.
208. And determining a historical network connection record corresponding to each independent area in the plurality of independent areas to obtain a plurality of historical network connection records.
209. And evaluating the communication quality of each independent area in the independent areas according to the historical network connection records to obtain a plurality of communication quality evaluation values.
210. Selecting a maximum value from the plurality of communication quality evaluation values, and acquiring a target independent area corresponding to the maximum value.
211. And prompting the user to move to the target independent area for communication.
For the detailed description of the steps 201 to 211, reference may be made to corresponding steps of the data communication method of the wireless internet of things described in the foregoing fig. 1A, and details are not repeated here.
It can be seen that the wireless internet of things data communication method described in the embodiment of the present application is applied to an electronic device, and obtains a plurality of communication modes by determining a plurality of internet of things devices and determining a communication mode between the electronic device and each of the plurality of internet of things devices, forms a target communication group by the electronic device and the plurality of internet of things devices according to the plurality of communication modes, determines positions of the plurality of internet of things devices to obtain a plurality of positions, maps the plurality of positions in an indoor map, forms a closed area by the plurality of positions, divides the closed area into a plurality of independent areas, determines a historical network connection record corresponding to each of the plurality of independent areas to obtain a plurality of historical network connection records, and evaluates communication quality of each of the plurality of independent areas according to the plurality of historical network connection records, the method comprises the steps of obtaining a plurality of communication quality evaluation values, selecting a maximum value from the plurality of communication quality evaluation values, obtaining a target independent area corresponding to the maximum value, and prompting a user to move to the target independent area for communication.
In accordance with the foregoing embodiments, please refer to fig. 3, where fig. 3 is a schematic structural diagram of an electronic device provided in an embodiment of the present application, and as shown in the drawing, the electronic device includes a processor, a memory, a communication interface, and one or more programs, which are applied to the electronic device, the one or more programs are stored in the memory and configured to be executed by the processor, and in an embodiment of the present application, the programs include instructions for performing the following steps:
determining a plurality of internet of things devices;
determining a communication mode between the electronic equipment and each of the plurality of Internet of things equipment to obtain a plurality of communication modes;
and according to the plurality of communication modes, the electronic equipment and the plurality of Internet of things equipment form a target communication group.
In one possible example, in the determining the plurality of internet of things devices, the program includes instructions for:
carrying out equipment search to obtain an equipment identification list;
receiving a selection instruction;
and responding to the selection instruction, and determining the plurality of Internet of things devices according to the device identification list.
In one possible example, in the determining the plurality of internet of things devices, the program includes instructions for:
acquiring target physiological state parameters;
determining a target device set corresponding to the target physiological state parameter according to a mapping relation between a preset physiological state parameter and the device set;
and determining the plurality of Internet of things devices according to the target device set.
In one possible example, in the determining the communication mode between the electronic device and each of the plurality of internet of things devices, obtaining a plurality of communication modes, the program includes instructions for:
determining target attribute information of an Internet of things device i, wherein the Internet of things device i is any one of the plurality of Internet of things devices;
and determining a target communication mode corresponding to the Internet of things equipment i according to a preset mapping relation between the attribute information and the communication mode.
In one possible example, the program includes instructions for performing the steps of:
determining the positions of the Internet of things equipment to obtain a plurality of positions;
mapping the plurality of locations in an indoor map;
forming the plurality of positions into an enclosed area;
dividing the closed area into a plurality of independent areas;
determining a historical network connection record corresponding to each independent area in the plurality of independent areas to obtain a plurality of historical network connection records;
evaluating the communication quality of each independent area in the independent areas according to the historical network connection records to obtain a plurality of communication quality evaluation values;
selecting a maximum value from the plurality of communication quality evaluation values, and acquiring a target independent area corresponding to the maximum value;
and prompting the user to move to the target independent area for communication.
It can be seen that, in the electronic device described in this embodiment of the application, a plurality of communication modes are obtained by determining a plurality of internet of things devices and determining a communication mode between the electronic device and each of the plurality of internet of things devices, and the electronic device and the plurality of internet of things devices form a target communication group according to the plurality of communication modes, so that, on one hand, corresponding communication modes can be provided for different internet of things devices to realize communication between the electronic device and the internet of things devices, and on the other hand, communication efficiency can be improved.
Fig. 4A is a block diagram of functional units of a wireless internet of things data communication device 400 according to an embodiment of the present application. This wireless thing networking data communication device 400 is applied to electronic equipment, device 400 includes: a first determining unit 401, a second determining unit 402 and a networking unit 403, wherein,
the first determining unit 401 is configured to determine a plurality of internet of things devices;
the second determining unit 402 is configured to determine a communication manner between the electronic device and each of the multiple pieces of internet-of-things equipment, so as to obtain multiple communication manners;
the networking unit 403 is configured to combine the electronic device and the multiple pieces of internet of things devices into a target communication group according to the multiple communication modes.
In one possible example, in terms of determining multiple internet of things devices, the first determining unit 401 is specifically configured to:
carrying out equipment search to obtain an equipment identification list;
receiving a selection instruction;
and responding to the selection instruction, and determining the plurality of Internet of things devices according to the device identification list.
In one possible example, in terms of determining multiple internet of things devices, the first determining unit 401 is specifically configured to:
acquiring target physiological state parameters;
determining a target device set corresponding to the target physiological state parameter according to a mapping relation between a preset physiological state parameter and the device set;
and determining the plurality of Internet of things devices according to the target device set.
In a possible example, in the aspect of determining a communication manner between the electronic device and each of the multiple internet of things devices to obtain multiple communication manners, the second determining unit 402 is specifically configured to:
determining target attribute information of an Internet of things device i, wherein the Internet of things device i is any one of the plurality of Internet of things devices;
and determining a target communication mode corresponding to the Internet of things equipment i according to a preset mapping relation between the attribute information and the communication mode.
In one possible example, as shown in fig. 4B, fig. 4B is a further modified structure of the wireless internet of things data communication device shown in fig. 4A, which may further include, compared with fig. 4A: the prompt unit 404 is specifically as follows:
the prompting unit 404 is configured to perform the following operations:
determining the positions of the Internet of things equipment to obtain a plurality of positions;
mapping the plurality of locations in an indoor map;
forming the plurality of positions into an enclosed area;
dividing the closed area into a plurality of independent areas;
determining a historical network connection record corresponding to each independent area in the plurality of independent areas to obtain a plurality of historical network connection records;
evaluating the communication quality of each independent area in the independent areas according to the historical network connection records to obtain a plurality of communication quality evaluation values;
selecting a maximum value from the plurality of communication quality evaluation values, and acquiring a target independent area corresponding to the maximum value;
and prompting the user to move to the target independent area for communication.
It can be seen that the wireless internet of things data communication device described in the embodiment of the application is applied to electronic equipment, a plurality of internet of things equipment are determined, a communication mode between the electronic equipment and each piece of internet of things equipment in the plurality of internet of things equipment is determined, a plurality of communication modes are obtained, and according to the plurality of communication modes, the electronic equipment and the plurality of internet of things equipment form a target communication group.
It can be understood that the functions of each program module of the wireless internet of things data communication device of this embodiment may be specifically implemented according to the method in the foregoing method embodiment, and the specific implementation process may refer to the relevant description of the foregoing method embodiment, which is not described herein again.
Embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the methods as described in the above method embodiments.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A wireless Internet of things data communication method is applied to electronic equipment, and comprises the following steps:
determining a plurality of internet of things devices;
determining a communication mode between the electronic equipment and each of the plurality of Internet of things equipment to obtain a plurality of communication modes;
and according to the plurality of communication modes, the electronic equipment and the plurality of Internet of things equipment form a target communication group.
2. The method of claim 1, wherein determining the plurality of internet of things devices comprises:
carrying out equipment search to obtain an equipment identification list;
receiving a selection instruction;
and responding to the selection instruction, and determining the plurality of Internet of things devices according to the device identification list.
3. The method of claim 1, wherein determining the plurality of internet of things devices comprises:
acquiring target physiological state parameters;
determining a target device set corresponding to the target physiological state parameter according to a mapping relation between a preset physiological state parameter and the device set;
and determining the plurality of Internet of things devices according to the target device set.
4. The method according to any one of claims 1-3, wherein the determining the communication mode between the electronic device and each of the plurality of IOT devices to obtain a plurality of communication modes comprises:
determining target attribute information of an Internet of things device i, wherein the Internet of things device i is any one of the plurality of Internet of things devices;
and determining a target communication mode corresponding to the Internet of things equipment i according to a preset mapping relation between the attribute information and the communication mode.
5. The method according to any one of claims 1-4, further comprising:
determining the positions of the Internet of things equipment to obtain a plurality of positions;
mapping the plurality of locations in an indoor map;
forming the plurality of positions into an enclosed area;
dividing the closed area into a plurality of independent areas;
determining a historical network connection record corresponding to each independent area in the plurality of independent areas to obtain a plurality of historical network connection records;
evaluating the communication quality of each independent area in the independent areas according to the historical network connection records to obtain a plurality of communication quality evaluation values;
selecting a maximum value from the plurality of communication quality evaluation values, and acquiring a target independent area corresponding to the maximum value;
and prompting the user to move to the target independent area for communication.
6. A wireless Internet of things data communication device is applied to electronic equipment and comprises: a first determining unit, a second determining unit and a networking unit, wherein,
the first determining unit is used for determining a plurality of internet of things devices;
the second determining unit is configured to determine a communication mode between the electronic device and each of the plurality of internet of things devices to obtain a plurality of communication modes;
the networking unit is used for forming a target communication group by the electronic equipment and the Internet of things equipment according to the plurality of communication modes.
7. The apparatus according to claim 6, wherein, in the determining the plurality of internet of things devices, the first determining unit is specifically configured to:
carrying out equipment search to obtain an equipment identification list;
receiving a selection instruction;
and responding to the selection instruction, and determining the plurality of Internet of things devices according to the device identification list.
8. The apparatus according to claim 6, wherein, in the determining the plurality of internet of things devices, the first determining unit is specifically configured to:
acquiring target physiological state parameters;
determining a target device set corresponding to the target physiological state parameter according to a mapping relation between a preset physiological state parameter and the device set;
and determining the plurality of Internet of things devices according to the target device set.
9. An electronic device comprising a processor, a memory for storing one or more programs and configured for execution by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-5.
10. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-5.
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