CN111417096B - Wireless Internet of things node management method and related device - Google Patents
Wireless Internet of things node management method and related device Download PDFInfo
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Abstract
The embodiment of the application discloses a wireless Internet of things node management method and a related device, which are applied to electronic equipment, wherein the method comprises the following steps: determining a target Internet of things where the electronic equipment is located, wherein the target Internet of things comprises P Internet of things nodes, and P is an integer greater than 1; determining child nodes corresponding to the electronic equipment to obtain Q child nodes, wherein the P Internet of things nodes comprise the Q child nodes, and Q is a positive integer smaller than P; numbering the Q child nodes; and sending a control instruction to the numbered Q sub-nodes, wherein the control instruction is used for indicating the Q sub-nodes to execute corresponding operations. By adopting the embodiment of the application, the communication management 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 node management method and a related device.
Background
Since the twenty-first century, the information and intelligence wave mat rolls around the world, and the technology application of the internet of things as an important development stage of the information and intelligence has penetrated into various fields closely related to our lives and works 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 management 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 node management method and a related device, which can improve the communication management efficiency of the Internet of things.
In a first aspect, an embodiment of the present application provides a wireless internet of things node management method, which is applied to an electronic device, and the method includes:
determining a target Internet of things where the electronic equipment is located, wherein the target Internet of things comprises P Internet of things nodes, and P is an integer greater than 1;
determining child nodes corresponding to the electronic equipment to obtain Q child nodes, wherein the P Internet of things nodes comprise the Q child nodes, and Q is a positive integer smaller than P;
numbering the Q child nodes;
and sending a control instruction to the numbered Q sub-nodes, wherein the control instruction is used for indicating the Q sub-nodes to execute corresponding operations.
In a second aspect, an embodiment of the present application provides a wireless internet of things node management device, which is applied to an electronic device, and the device includes: a first determining unit, a second determining unit, a numbering unit and a sending unit, wherein,
the first determining unit is used for determining a target Internet of things where the electronic equipment is located, wherein the target Internet of things comprises P Internet of things nodes, and P is an integer greater than 1;
the second determining unit is configured to determine a sub-node corresponding to the electronic device to obtain Q sub-nodes, where the P internet of things nodes include the Q sub-nodes, and Q is a positive integer smaller than P;
the numbering unit is used for numbering the Q sub-nodes;
and the sending instruction is used for sending a control instruction to the Q sub-nodes after numbering, and the control instruction is used for indicating the Q sub-nodes to execute corresponding operations.
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:
the wireless Internet of things node management method and the related device described in the embodiment of the application are applied to electronic equipment, and a target Internet of things where the electronic equipment is located is determined, wherein the target Internet of things comprises P Internet of things nodes, and P is an integer greater than 1; determining child nodes corresponding to the electronic equipment to obtain Q child nodes, wherein the P Internet of things nodes comprise Q child nodes, and Q is a positive integer smaller than P; numbering the Q child nodes; and sending a control instruction to the Q numbered sub-nodes, wherein the control instruction is used for indicating the Q sub-nodes to execute corresponding operations, so that on one hand, the nodes can be numbered, and on the other hand, a plurality of nodes can work cooperatively to complete sequence actions together or synchronously execute a certain action, thereby improving the communication management efficiency of the Internet of things.
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 node management method according to an embodiment of the present disclosure;
fig. 1B is a schematic interface demonstration diagram of a target internet of things provided in the embodiment of the present application;
fig. 2 is a schematic flowchart of another wireless internet of things node management method provided in an 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 functional unit block diagram of a wireless internet of things node management device according to an embodiment of the present disclosure;
fig. 4B is a functional unit composition block diagram of another wireless internet of things node management device provided in the embodiment of the present application.
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.
The embodiment of the application provides a wireless Internet of things node management method, which is applied to electronic equipment and can comprise the following steps:
determining a target Internet of things where the electronic equipment is located, wherein the target Internet of things comprises P Internet of things nodes, and P is an integer greater than 1;
determining child nodes corresponding to the electronic equipment to obtain Q child nodes, wherein the P Internet of things nodes comprise the Q child nodes, and Q is a positive integer smaller than P;
numbering the Q child nodes;
and sending a control instruction to the numbered Q sub-nodes, wherein the control instruction is used for indicating the Q sub-nodes to execute corresponding operations.
The wireless Internet of things node management method is applied to electronic equipment, and a target Internet of things where the electronic equipment is located is determined, wherein the target Internet of things comprises P Internet of things nodes, and P is an integer greater than 1; determining child nodes corresponding to the electronic equipment to obtain Q child nodes, wherein the P Internet of things nodes comprise Q child nodes, and Q is a positive integer smaller than P; numbering the Q child nodes; and sending a control instruction to the Q numbered sub-nodes, wherein the control instruction is used for indicating the Q sub-nodes to execute corresponding operations, so that on one hand, the nodes can be numbered, and on the other hand, a plurality of nodes can work cooperatively to complete sequence actions together or synchronously execute a certain action, thereby improving the communication management efficiency of the Internet of things.
Referring to fig. 1A, fig. 1A is a schematic flowchart of a wireless internet of things node management method provided in an embodiment of the present application, and is applied to an electronic device, where as shown in the figure, the wireless internet of things node management method includes:
101. determining a target Internet of things where the electronic equipment is located, wherein the target Internet of things comprises P Internet of things nodes, and P is an integer larger than 1.
In specific implementation, the electronic device may be in a target internet of things, the target internet of things may be a local area network or a topology network, the target internet of things may include P internet of things nodes, each internet of things node may be an internet of things device, and P is an integer greater than 1. As shown in fig. 1B, the target internet of things shown in fig. 1B may include n devices, which are respectively: the intelligent home equipment comprises intelligent home equipment 1, intelligent home equipment 2, … and intelligent home equipment n. Different intelligent household devices can communicate with each other based on the internet of things, different devices can communicate with each other based on different communication channels, each communication channel can comprise one or more nodes, different nodes can form one communication channel, and the nodes of the communication channels can have a certain sequence number, for example, a previous node is a father node of a next node, so that data transmission can be realized based on the communication channels.
Optionally, in the step 101, determining a target internet of things where the electronic device is located may include the following steps:
a11, determining a target group identifier of the electronic equipment;
and A12, determining the Internet of things corresponding to the target group identification to obtain the target Internet of things.
In this embodiment, the group identifier may be at least one of the following: the group name, the group number, the group function, and the like are not limited herein, and specifically, the electronic device may determine a target group identifier of the electronic device, and since different group identifiers correspond to different internet of things, the internet of things corresponding to the target group identifier may be determined, so as to obtain the target internet of things.
In a possible example, the step 101 of determining the target internet of things where the electronic device is located may include the following steps:
b11, acquiring target physiological state parameters;
and B12, determining a target Internet of things corresponding to the target physiological state parameter according to a mapping relation between the preset physiological state parameter and the Internet of things.
In an embodiment of the present application, the physiological state parameter may be at least one of: heart rate, brain wave, respiration parameter, emotion type, blood pressure, blood temperature, blood oxygen content, blood fat content, etc., but not limited thereto, the respiration parameter may be at least one of the following: 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 can be a wearable device, or the electronic device can be connected with the wearable device or a sensor, so that the electronic device can acquire a target physiological state parameter, a mapping relation between a preset physiological state parameter and the internet of things can be stored in the electronic device in advance, and then the target internet of things corresponding to the target physiological state parameter can be determined according to the mapping relation between the preset physiological state parameter and the internet of things, so that the corresponding internet of things can be selected according to the physiological state of a user.
Further, in a possible example, when the target physiological state parameter is a 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. And determining child nodes corresponding to the electronic equipment to obtain Q child nodes, wherein the P Internet of things nodes comprise the Q child nodes, and Q is a positive integer smaller than P.
In specific implementation, the target internet of things may be composed of different network topologies, and therefore, the electronic device may also correspond to some sub-nodes, specifically, the electronic device may determine the sub-nodes of the electronic device to obtain Q sub-nodes, where P nodes of the internet of things include the Q sub-nodes, and Q is a positive integer smaller than P.
103. And numbering the Q sub-nodes.
The electronic device may number the Q sub-nodes according to functions of the sub-nodes, or the electronic device may number the Q sub-nodes randomly, or the electronic device may number the Q sub-nodes according to distances between the Q sub-nodes and the electronic device, for example, the closer the distance is, the farther the distance is, the closer the number is, and the further the distance is, the further the number is.
Optionally, in the step 103, numbering the Q child nodes may include the following steps:
31. determining a plurality of communication channels between the electronic device and the Q sub-nodes;
32. performing channel quality evaluation on the plurality of communication channels to obtain a plurality of channel quality values;
33. selecting the maximum value of the multiple channel quality values, and acquiring a target communication channel corresponding to the maximum value;
34. and numbering the Q sub-nodes according to the transmission sequence of the target communication channel.
In the specific implementation, the electronic device may determine multiple communication channels between the electronic device and the Q sub-nodes, where the different communication channels have different corresponding channel qualities, and therefore, the electronic device may perform channel quality evaluation on the multiple communication channels to obtain multiple channel quality values, select a maximum value of the multiple channel quality values, obtain a target communication channel corresponding to the maximum value, number the Q sub-nodes according to a transmission order of the target communication channel, where the target communication channel may be pointed to any one of the Q sub-nodes by the electronic device, and number the Q sub-nodes in sequence according to the transmission order of the target communication channel, so that the communication quality of the channel may be ensured, and the communication efficiency may be improved.
In one possible example, the first channel parameter comprises a first packet loss rate; the step 32 of performing channel quality evaluation on the plurality of communication channels to obtain a plurality of channel quality values may include the following steps:
c11, determining a transit device set corresponding to a communication channel i, where the transit device set includes multiple transit devices, the communication channel i is any one of the multiple communication channels, and the communication channel i corresponds to a first packet loss rate;
c12, obtaining a packet loss rate of each transit device in the plurality of transit devices to obtain a plurality of packet loss rates;
c13, determining the average packet loss rate corresponding to the plurality of packet loss rates;
c14, determining a first mean square error according to the packet loss rates;
c15, determining a first adjusting coefficient corresponding to the first mean square error according to a mapping relation between a preset mean square error and the adjusting coefficient;
c16, when the average packet loss rate is greater than the first packet loss rate, calculating the channel quality value of the communication channel i according to the following formula: channel quality value is first packet loss rate (1+ first adjustment coefficient);
c17, when the average packet loss rate is less than or equal to the first packet loss rate, calculating the channel quality value of the communication channel i according to the following formula: channel quality value is the first packet loss rate (1-first adjustment factor).
In a specific implementation, taking a communication channel i as an example, the communication channel i is any one of a plurality of communication channels, the communication channel i corresponds to a first packet loss rate, the electronic device may determine a relay device set corresponding to the communication channel i, where the relay device set includes a plurality of relay devices, for example, a and C perform communication, a communication channel may be formed between a and C, A, a1, a2, a3, and C form a communication channel, and the relay devices are a1, a2, and a3, respectively, so that a1, a2, and a3 as the relay devices may also affect communication quality to a certain extent, and thus, packet loss rates corresponding to a1, a2, and a3 may assist in evaluating channel quality to a certain extent, which is helpful for improving accuracy of channel quality evaluation.
Further, the electronic device may further obtain a packet loss rate of each of the plurality of relay devices to obtain a plurality of packet loss rates, where the packet loss rate reflects communication stability between a single device or 2 adjacent devices to a certain extent, and further may determine a mean packet loss rate corresponding to the plurality of packet loss rates, and determine a first mean square error according to the plurality of packet loss rates, where the mean square error reflects compatibility between devices of a channel to a certain extent.
In addition, the electronic device may pre-store a mapping relationship between a preset mean square error and an adjustment coefficient, where the adjustment coefficient is 0-1, and may be specifically set by a user or default by a system, for example, the adjustment coefficient is 0-0.1. A mapping relationship between the mean square error and the adjustment coefficient is provided as follows, specifically as follows:
| mean square error | Adjusting parameters |
| Mean square error 1 | Regulating parameter 1 |
| Mean square error 2 | Regulating parameter 2 |
| Mean square error 3 | Regulating parameter 3 |
| … | … |
| Mean square error n | Regulating parameter n |
Different mean square deviations can correspond to different adjusting parameters, the mapping relation between the mean square deviations and the adjusting coefficients can be set by a user or defaulted by a system, and based on the mapping relation, the influence of the mean square deviations on channel quality evaluation results can be quickly determined, so that quick and accurate channel quality evaluation is facilitated.
Further, a first adjustment coefficient corresponding to the first mean square error may be determined according to a mapping relationship between a preset mean square error and an adjustment coefficient, and when the mean packet loss rate is greater than the first packet loss rate, the channel quality value of the communication channel i is calculated according to the following formula: when the average packet loss rate is less than or equal to the first packet loss rate, calculating the channel quality value of the communication channel i according to the following formula: the channel quality value is the first packet loss rate (1-the first adjustment coefficient), so that the communication quality of the channel can be accurately evaluated, not only can the channel quality be accurately evaluated, but also the subsequent selection of the optimal communication channel can be facilitated, and the communication quality and the communication efficiency can be ensured.
104. And sending a control instruction to the numbered Q sub-nodes, wherein the control instruction is used for indicating the Q sub-nodes to execute corresponding operations.
In the embodiment of the present application, the control instruction may be any type of instruction, for example, the control instruction may be at least one or a combination of the following: a start instruction, a close instruction, an image processing instruction, a sleep instruction, a send instruction, a receive instruction, a synchronization instruction, a display instruction, a video play instruction, an audio play instruction, and the like, which are not limited herein. In a specific implementation, the electronic device may send a control instruction to the numbered Q sub-nodes, where the control instruction is used to instruct the Q sub-nodes to perform corresponding operations.
Optionally, the control instruction includes instruction content and interval time, the control instruction is sent to the numbered Q child nodes, and the control instruction is used to instruct the Q child nodes to perform corresponding operations, including:
and sending the control instruction to each of the Q sub-nodes, wherein the control instruction is used for instructing each of the Q sub-nodes to determine an execution time according to the number corresponding to the sub-node and the interval time after receiving the control instruction, and executing the instruction content when the execution time is up.
In a specific implementation, the control instruction may include instruction content and interval time, and further, the electronic device may send the control instruction to each of the Q child nodes, where the control instruction is used to instruct each of the Q child nodes to determine an execution time according to a number corresponding to the child node and the interval time after receiving the control instruction, and the execution time may be number × interval time, that is, the smaller the number is, the earlier the execution time is, the larger the number is, the later the execution time is, and further, when the execution time arrives, the instruction content is executed, so that a plurality of nodes may be sequentially controlled, and control efficiency is improved.
For example, the child node may execute the instructions issued by the parent node in time sequence, so as to enrich different control effects on the node. For example, a command with a time interval is issued to a node which is already organized, after the node receives the command, the node multiplies the time interval by the number sequence of the node to determine the exact time for executing the command, and therefore the effect similar to a ticker can be achieved by multicasting the command.
Optionally, the control instruction includes a continuous action instruction, where the continuous action instruction includes an execution time and an instruction content corresponding to each of the Q child nodes, and the control instruction is sent to the numbered Q child nodes, where the control instruction is used to instruct the Q child nodes to perform corresponding operations, and includes:
and sending a control instruction to each of the numbered Q sub-nodes, wherein the control instruction is used for instructing each of the Q sub-nodes to execute corresponding instruction content according to the execution time corresponding to the sub-node.
Specifically, the control instruction may include a continuous action instruction, the electronic device may send the control instruction to each of the Q numbered child nodes, and the control instruction is used to instruct each of the Q numbered child nodes to execute corresponding instruction content according to an execution time corresponding to the child node, so that a series of consecutive actions may be executed, and linkage between devices is improved.
For example, the child node may execute a series of preset action instruction lists in time sequence, so as to enrich different control effects on the node. For example, a series of action instruction lists are compiled in advance and issued to each node in the marshalling, the action instruction lists can be consistent or customized by each node, and after all the nodes are issued, the effect similar to a light show and a robot dance can be achieved by multicasting one instruction.
Optionally, when the control instruction is a synchronization instruction, the Q child nodes are in a group; the sending of a control instruction to the numbered Q child nodes, where the control instruction is used to instruct the Q child nodes to execute corresponding operations, and the control instruction includes:
and sending the synchronization instruction to the group, wherein the synchronization instruction is used for indicating the Q sub-nodes to synchronously execute the operation corresponding to the synchronization instruction.
In a specific implementation, the electronic device may send the synchronization instruction to the group, where the synchronization instruction is used to instruct the Q sub-nodes to synchronously execute operations corresponding to the synchronization instruction, for example, to turn off the Q sub-nodes at one time, for example, to turn on the Q sub-nodes at one time, for example, to sleep the Q sub-nodes at one time.
For example, a parent node may have sequential numbering of its subordinate children nodes, which may be used for, but is not limited to, the following:
in a possible example, the electronic device is a parent node, and after the step 104, the method may further include the following steps:
c1, determining the reporting priority of the Q sub-nodes according to the number;
and C2, receiving the reported data of the Q sub-nodes according to the reporting priority.
In a specific implementation, the electronic device may determine the reporting priorities of the Q child nodes according to the numbers, for example, the more the number is, the higher the reporting priority is, and the more the number is, the lower the reporting priority is, and further, may receive the reported data of the Q child nodes according to the reporting priorities.
For example, the child nodes can report the data to the parent node in time sequence, so that the data is reported in time error, data blockage and data loss caused by the fact that a plurality of child nodes report the data to the parent node at the same time are avoided, and the data reporting efficiency is improved.
The wireless Internet of things node management method is applied to electronic equipment, and a target Internet of things where the electronic equipment is located is determined, wherein the target Internet of things comprises P Internet of things nodes, and P is an integer greater than 1; determining child nodes corresponding to the electronic equipment to obtain Q child nodes, wherein the P Internet of things nodes comprise Q child nodes, and Q is a positive integer smaller than P; numbering the Q child nodes; and sending a control instruction to the Q numbered sub-nodes, wherein the control instruction is used for indicating the Q sub-nodes to execute corresponding operations, so that on one hand, the nodes can be numbered, and on the other hand, a plurality of nodes can work cooperatively to complete sequence actions together or synchronously execute a certain action, thereby improving the communication management efficiency of the Internet of things.
Referring to fig. 2, fig. 2 is a schematic flow chart of a wireless internet of things node management method provided in an embodiment of the present application, and the method is applied to an electronic device, where as shown in the figure, the wireless internet of things node management method includes:
201. determining a target Internet of things where the electronic equipment is located, wherein the target Internet of things comprises P Internet of things nodes, and P is an integer larger than 1.
202. And determining child nodes corresponding to the electronic equipment to obtain Q child nodes, wherein the P Internet of things nodes comprise the Q child nodes, and Q is a positive integer smaller than P.
203. And numbering the Q sub-nodes.
204. And sending a control instruction to the numbered Q sub-nodes, wherein the control instruction is used for indicating the Q sub-nodes to execute corresponding operations.
205. And determining the reporting priority of the Q sub-nodes according to the number.
206. And receiving the reported data of the Q sub-nodes according to the reporting priority.
For the detailed description of the steps 201 to 206, reference may be made to corresponding steps of the wireless internet of things node management method described in fig. 1A, and details are not repeated here.
The wireless Internet of things node management method is applied to electronic equipment, and a target Internet of things where the electronic equipment is located is determined, wherein the target Internet of things comprises P Internet of things nodes, and P is an integer greater than 1; determining child nodes corresponding to the electronic equipment to obtain Q child nodes, wherein the P Internet of things nodes comprise Q child nodes, and Q is a positive integer smaller than P; numbering the Q child nodes; and sending a control instruction to the numbered Q sub-nodes, wherein the control instruction is used for indicating the Q sub-nodes to execute corresponding operation, determining the reporting priority of the Q sub-nodes according to the number, and receiving the reported data of the Q sub-nodes according to the reporting priority, so that on one hand, the nodes can be numbered, on the other hand, a plurality of nodes can cooperatively work to complete sequence actions together, or a certain action is synchronously executed, and the communication management efficiency of the Internet of things is improved.
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 target Internet of things where the electronic equipment is located, wherein the target Internet of things comprises P Internet of things nodes, and P is an integer greater than 1;
determining child nodes corresponding to the electronic equipment to obtain Q child nodes, wherein the P Internet of things nodes comprise the Q child nodes, and Q is a positive integer smaller than P;
numbering the Q child nodes;
and sending a control instruction to the numbered Q sub-nodes, wherein the control instruction is used for indicating the Q sub-nodes to execute corresponding operations.
Optionally, the control instruction includes instruction content and interval time, the control instruction is sent to the Q numbered sub-nodes, and in terms of that the control instruction is used to instruct the Q sub-nodes to perform corresponding operations, the program includes instructions for performing the following steps:
and sending the control instruction to each of the Q sub-nodes, wherein the control instruction is used for instructing each of the Q sub-nodes to determine an execution time according to the number corresponding to the sub-node and the interval time after receiving the control instruction, and executing the instruction content when the execution time is up.
Optionally, the control instruction includes a continuous action instruction, where the continuous action instruction includes an execution time and an instruction content corresponding to each of the Q child nodes, and the control instruction is sent to the Q child nodes after numbering, and is used to instruct the Q child nodes to perform corresponding operation aspects, where the program includes instructions for performing the following steps:
and sending a control instruction to each of the numbered Q sub-nodes, wherein the control instruction is used for instructing each of the Q sub-nodes to execute corresponding instruction content according to the execution time corresponding to the sub-node.
Optionally, when the control instruction is a synchronization instruction, the Q child nodes are in a group; after the sending of the control instruction to the numbered Q child nodes, the control instruction is used to instruct the Q child nodes to perform corresponding operation, and the program includes instructions for performing the following steps:
and sending the synchronization instruction to the group, wherein the synchronization instruction is used for indicating the Q sub-nodes to synchronously execute the operation corresponding to the synchronization instruction.
Optionally, the electronic device is a parent node, and the program further includes instructions for performing the following steps:
determining the reporting priority of the Q sub-nodes according to the numbers;
and receiving the reported data of the Q sub-nodes according to the reporting priority.
As can be seen, in the electronic device described in the embodiment of the present application, a target internet of things where the electronic device is located is determined, where the target internet of things includes P internet of things nodes, and P is an integer greater than 1; determining child nodes corresponding to the electronic equipment to obtain Q child nodes, wherein the P Internet of things nodes comprise Q child nodes, and Q is a positive integer smaller than P; numbering the Q child nodes; and sending a control instruction to the Q numbered sub-nodes, wherein the control instruction is used for indicating the Q sub-nodes to execute corresponding operations, so that on one hand, the nodes can be numbered, and on the other hand, a plurality of nodes can work cooperatively to complete sequence actions together or synchronously execute a certain action, thereby improving the communication management efficiency of the Internet of things.
Fig. 4A is a block diagram of functional units of a wireless internet of things node management apparatus 400 according to an embodiment of the present application. This wireless thing networking node management device 400 is applied to electronic equipment, device 400 includes: a first determining unit 401, a second determining unit 402, a numbering unit 403 and a sending unit 404, wherein,
the first determining unit 401 is configured to determine a target internet of things where the electronic device is located, where the target internet of things includes P internet of things nodes, and P is an integer greater than 1;
the second determining unit 402 is configured to determine a sub-node corresponding to the electronic device to obtain Q sub-nodes, where the P internet of things nodes include the Q sub-nodes, and Q is a positive integer smaller than P;
the numbering unit 403 is configured to number the Q child nodes;
the sending instruction 404 is configured to send a control instruction to the Q numbered child nodes, where the control instruction is used to instruct the Q child nodes to execute corresponding operations.
Optionally, the control instruction includes instruction content and interval time, and after the control instruction is sent to the numbered Q child nodes, the control instruction is used to instruct the Q child nodes to execute corresponding operation aspects, and the sending unit 404 is specifically configured to:
and sending the control instruction to each of the Q sub-nodes, wherein the control instruction is used for instructing each of the Q sub-nodes to determine an execution time according to the number corresponding to the sub-node and the interval time after receiving the control instruction, and executing the instruction content when the execution time is up.
Optionally, the control instruction includes a continuous action instruction, where the continuous action instruction includes an execution time and an instruction content corresponding to each of the Q child nodes, and after the control instruction is sent to the numbered Q child nodes, the control instruction is used to instruct the Q child nodes to execute corresponding operations, and the sending unit 404 is specifically configured to:
and sending a control instruction to each of the numbered Q sub-nodes, wherein the control instruction is used for instructing each of the Q sub-nodes to execute corresponding instruction content according to the execution time corresponding to the sub-node.
Optionally, when the control instruction is a synchronization instruction, the Q child nodes are in a group; after the sending a control instruction to the numbered Q child nodes, where the control instruction is used to instruct the Q child nodes to execute corresponding operations, the sending unit 404 is specifically configured to:
and sending the synchronization instruction to the group, wherein the synchronization instruction is used for indicating the Q sub-nodes to synchronously execute the operation corresponding to the synchronization instruction.
Optionally, the electronic device is a parent node, as shown in fig. 4B, where fig. 4B is another structure of the wireless internet of things node management apparatus shown in fig. 4A, compared with fig. 4A, the method may further include: the third determining unit 405 and the receiving unit 406 are specifically as follows:
the third determining unit 405 is configured to determine the reporting priority of the Q child nodes according to the number;
the receiving unit 406 is configured to receive the reported data of the Q child nodes according to the reporting priority.
The wireless internet of things node management device described in the embodiment of the application is applied to electronic equipment, and determines a target internet of things where the electronic equipment is located, wherein the target internet of things comprises P internet of things nodes, and P is an integer greater than 1; determining child nodes corresponding to the electronic equipment to obtain Q child nodes, wherein the P Internet of things nodes comprise Q child nodes, and Q is a positive integer smaller than P; numbering the Q child nodes; and sending a control instruction to the Q numbered sub-nodes, wherein the control instruction is used for indicating the Q sub-nodes to execute corresponding operations, so that on one hand, the nodes can be numbered, and on the other hand, a plurality of nodes can work cooperatively to complete sequence actions together or synchronously execute a certain action, thereby improving the communication management efficiency of the Internet of things.
It can be understood that the functions of each program module of the wireless internet of things node management apparatus according to 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 node management method is applied to electronic equipment, and comprises the following steps:
determining a target Internet of things where the electronic equipment is located, wherein the target Internet of things comprises P Internet of things nodes, and P is an integer greater than 1;
determining child nodes corresponding to the electronic equipment to obtain Q child nodes, wherein the P Internet of things nodes comprise the Q child nodes, and Q is a positive integer smaller than P;
numbering the Q child nodes;
sending a control instruction to the numbered Q sub-nodes, wherein the control instruction is used for indicating the Q sub-nodes to execute corresponding operations;
wherein, the target thing networking that the electron device belongs to of confirming includes:
acquiring target physiological state parameters;
determining a target Internet of things corresponding to the target physiological state parameter according to a mapping relation between a preset physiological state parameter and the Internet of things;
when the target physiological state parameter is a target emotion type, the acquiring the target physiological state parameter includes:
acquiring a heart rate change curve of a preset time period;
determining an average heart rate value corresponding to the heart rate change curve;
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;
uniformly sampling the heart rate change curve to obtain a plurality of heart rate values;
determining a target mean square error according to the plurality of heart rate values;
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;
determining 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, taking the at least one emotion type as the target emotion type;
when the number of the at least one emotion type is multiple, obtaining a mean square error corresponding to each emotion type in the multiple emotion types to obtain multiple mean square errors, determining a minimum value of absolute values of differences between the multiple mean square errors and the target mean square error, and taking the emotion type corresponding to the minimum value as the target emotion type.
2. The method according to claim 1, wherein the control instruction comprises instruction content and interval time, and the sending of the control instruction to the Q numbered sub-nodes is configured to instruct the Q sub-nodes to perform corresponding operations, and the method comprises:
and sending the control instruction to each of the Q sub-nodes, wherein the control instruction is used for instructing each of the Q sub-nodes to determine an execution time according to the number corresponding to the sub-node and the interval time after receiving the control instruction, and executing the instruction content when the execution time is up.
3. The method according to claim 1, wherein the control instruction comprises a continuous action instruction, the continuous action instruction comprises an execution time and an instruction content corresponding to each of the Q sub-nodes, and the sending of the control instruction to the Q sub-nodes after numbering is performed, and the control instruction is used for instructing the Q sub-nodes to perform corresponding operations, and the method comprises:
and sending a control instruction to each of the numbered Q sub-nodes, wherein the control instruction is used for instructing each of the Q sub-nodes to execute corresponding instruction content according to the execution time corresponding to the sub-node.
4. The method of claim 1, wherein when the control command is a synchronization command, the Q sub-nodes are in a group; the sending of a control instruction to the numbered Q child nodes, where the control instruction is used to instruct the Q child nodes to execute corresponding operations, and the control instruction includes:
and sending the synchronization instruction to the group, wherein the synchronization instruction is used for indicating the Q sub-nodes to synchronously execute the operation corresponding to the synchronization instruction.
5. The method of any of claims 1-4, wherein the electronic device is a parent node, the method further comprising:
determining the reporting priority of the Q sub-nodes according to the numbers;
and receiving the reported data of the Q sub-nodes according to the reporting priority.
6. The utility model provides a wireless thing networking node management device which characterized in that, is applied to electronic equipment, the device includes: a first determining unit, a second determining unit, a numbering unit and a sending unit, wherein,
the first determining unit is used for determining a target Internet of things where the electronic equipment is located, wherein the target Internet of things comprises P Internet of things nodes, and P is an integer greater than 1;
the second determining unit is configured to determine a sub-node corresponding to the electronic device to obtain Q sub-nodes, where the P internet of things nodes include the Q sub-nodes, and Q is a positive integer smaller than P;
the numbering unit is used for numbering the Q sub-nodes;
the sending unit is configured to send a control instruction to the Q numbered child nodes, where the control instruction is used to instruct the Q numbered child nodes to execute corresponding operations;
wherein, the target thing networking that the electron device belongs to of confirming includes:
acquiring target physiological state parameters;
determining a target Internet of things corresponding to the target physiological state parameter according to a mapping relation between a preset physiological state parameter and the Internet of things;
when the target physiological state parameter is a target emotion type, the acquiring the target physiological state parameter includes:
acquiring a heart rate change curve of a preset time period;
determining an average heart rate value corresponding to the heart rate change curve;
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;
uniformly sampling the heart rate change curve to obtain a plurality of heart rate values;
determining a target mean square error according to the plurality of heart rate values;
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;
determining 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, taking the at least one emotion type as the target emotion type;
when the number of the at least one emotion type is multiple, obtaining a mean square error corresponding to each emotion type in the multiple emotion types to obtain multiple mean square errors, determining a minimum value of absolute values of differences between the multiple mean square errors and the target mean square error, and taking the emotion type corresponding to the minimum value as the target emotion type.
7. The apparatus according to claim 6, wherein the control instruction includes instruction content and an interval time, and the control instruction is sent to the Q numbered sub-nodes, and is used to instruct the Q sub-nodes to perform corresponding operation aspects, and the sending unit is specifically configured to:
and sending the control instruction to each of the Q sub-nodes, wherein the control instruction is used for instructing each of the Q sub-nodes to determine an execution time according to the number corresponding to the sub-node and the interval time after receiving the control instruction, and executing the instruction content when the execution time is up.
8. The apparatus according to claim 6, wherein the control instruction includes a continuous action instruction, the continuous action instruction includes an execution time and an instruction content corresponding to each of the Q child nodes, and after the control instruction is sent to the Q child nodes after numbering, the control instruction is used to instruct the Q child nodes to perform corresponding operation aspects, and the sending unit is specifically configured to:
and sending a control instruction to each of the numbered Q sub-nodes, wherein the control instruction is used for instructing each of the Q sub-nodes to execute corresponding instruction content according to the execution time corresponding to the sub-node.
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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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102215263A (en) * | 2011-06-07 | 2011-10-12 | 邱柏康 | Data transmission and remote control method for self-organizing wireless internet of things (IoT) system |
| CN105865534A (en) * | 2016-06-22 | 2016-08-17 | 长沙学院 | Monitoring method based on agriculture internet of things |
| CN105911943A (en) * | 2016-06-22 | 2016-08-31 | 长沙沿高智感信息科技有限公司 | Monitoring system based on agricultural Internet of things |
| CN110113413A (en) * | 2019-04-30 | 2019-08-09 | 江苏汇智达信息科技有限公司 | A kind of method of data processing in Internet of Things |
| CN110418409A (en) * | 2018-04-26 | 2019-11-05 | 华为技术有限公司 | Channel resource coordinated allocation method and device |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102932751A (en) * | 2012-10-17 | 2013-02-13 | 中国联合网络通信集团有限公司 | Internet of Things data transmission method and Internet of Things |
| CN107018165A (en) * | 2016-01-28 | 2017-08-04 | 阿里巴巴集团控股有限公司 | The method and device of control internet of things equipment, server, mobile device |
| CN109150560B (en) * | 2017-06-15 | 2022-03-25 | 中兴通讯股份有限公司 | Method and system for setting monitoring of internet of things and computer readable storage medium |
| CN108234304A (en) * | 2017-12-29 | 2018-06-29 | 生迪智慧科技有限公司 | Data transmission method, apparatus and system |
| CN110233874B (en) * | 2019-05-08 | 2022-02-18 | 百度在线网络技术（北京）有限公司 | Information transmission method and device for Internet of things equipment |
-
2019
- 2019-12-31 CN CN201911420252.9A patent/CN111417096B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102215263A (en) * | 2011-06-07 | 2011-10-12 | 邱柏康 | Data transmission and remote control method for self-organizing wireless internet of things (IoT) system |
| CN105865534A (en) * | 2016-06-22 | 2016-08-17 | 长沙学院 | Monitoring method based on agriculture internet of things |
| CN105911943A (en) * | 2016-06-22 | 2016-08-31 | 长沙沿高智感信息科技有限公司 | Monitoring system based on agricultural Internet of things |
| CN110418409A (en) * | 2018-04-26 | 2019-11-05 | 华为技术有限公司 | Channel resource coordinated allocation method and device |
| CN110113413A (en) * | 2019-04-30 | 2019-08-09 | 江苏汇智达信息科技有限公司 | A kind of method of data processing in Internet of Things |
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|---|---|
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