CN117544527A

CN117544527A - Internet of things equipment management method and device and computer equipment

Info

Publication number: CN117544527A
Application number: CN202311739686.1A
Authority: CN
Inventors: 刘春旭; 郭建林; 王跃; 梁奋; 王小成; 杨婷婷; 陈少坤
Original assignee: Shenzhen Neoway Technology Co Ltd
Current assignee: Shenzhen Neoway Technology Co Ltd
Priority date: 2023-12-15
Filing date: 2023-12-15
Publication date: 2024-02-09

Abstract

The embodiment of the application provides an Internet of things equipment management method, an Internet of things equipment management device and computer equipment, wherein the method comprises the following steps: receiving reporting information from first Internet of things equipment, and determining a first grid to which the first Internet of things equipment belongs in a reference map; based on the reporting information of the first Internet of things equipment, determining the network grade information of the first Internet of things equipment and the service grade information of the first Internet of things equipment; and responding to the received query instruction for the first Internet of things, and outputting a first display area associated with the first grid on a display interface of the reference map. The first display area is used for displaying monitoring information of the first Internet of things device, and the monitoring information of the first Internet of things device comprises identification information of the first Internet of things device, operator information of the first Internet of things device, network grade information of the first Internet of things device and service grade information of the first Internet of things device. By adopting the embodiment of the application, the management efficiency of the Internet of things equipment can be improved.

Description

Internet of things equipment management method and device and computer equipment

Technical Field

The present disclosure relates to the field of communications, and in particular, to a method and an apparatus for managing devices in the internet of things, and a computer device.

Background

As a revolution of technology remodelling, the internet of things has been rapidly developed in recent years. The internet of things is widely applied nowadays, and can be applied to various scenes such as intelligent home, intelligent factories and intelligent offices. Because the application scene of the internet of things is wide, various types of internet of things devices are also layered endlessly, such as intelligent lamps, intelligent refrigerators and other types of internet of things devices. Furthermore, the number of the devices of the internet of things is also huge, and operators adopted by different devices of the internet of things may be different. At present, the internet of things devices are generally managed by respective operators, but the operators manage not only the internet of things devices, but also a large number of users of other terminal devices, such as mobile phone users, so that the management efficiency of the internet of things devices is low. Therefore, how to improve the management efficiency of the internet of things device is a technical problem to be solved.

Disclosure of Invention

The embodiment of the application provides an Internet of things equipment management method, an Internet of things equipment management device and computer equipment, which can improve the management efficiency of the Internet of things equipment.

In a first aspect, an embodiment of the present application provides a method for managing devices of the internet of things, where the method includes:

receiving reporting information from first Internet of things equipment, and determining a first grid to which the first Internet of things equipment belongs in a reference map;

Based on the reporting information of the first Internet of things equipment, determining the network grade information of the first Internet of things equipment and the service grade information of the first Internet of things equipment;

responding to a received query instruction for the first Internet of things, outputting a first display area associated with a first grid on a display interface of a reference map, wherein the first display area is used for displaying monitoring information of first Internet of things equipment, and the monitoring information of the first Internet of things equipment comprises identification information of the first Internet of things equipment, operator information of the first Internet of things equipment, network grade information of the first Internet of things equipment and service grade information of the first Internet of things equipment.

The method provided in the first aspect may be performed by an internet of things device management platform or by an apparatus matched with the internet of things device management platform, such as a processor, a chip or a chip module, etc. The Internet of things equipment management platform can improve the management effect of the Internet of things equipment by displaying the monitoring information of the Internet of things equipment on the display interface of the reference map.

In one possible implementation manner, the method further includes: acquiring network grade information of second internet of things equipment and service grade information of the second internet of things equipment in the first grid, wherein the second internet of things equipment is the internet of things equipment except the first internet of things equipment in the first grid; determining monitoring information of a first grid based on network level information of first Internet of things equipment, service level information of the first Internet of things equipment, network level information of second Internet of things equipment and service level information of the second Internet of things equipment, wherein the monitoring information of the first grid comprises position information of the first grid, operator information of the first grid, network level information of the first grid and service level information of the first grid; and responding to the received query instruction aiming at the first grid, outputting a second display area associated with the first grid on a display interface, wherein the second display area is used for displaying the monitoring information of the first grid. Therefore, the management of the Internet of things equipment by taking the grid as a unit can be realized.

In one possible implementation manner, the method further includes: responding to a received query instruction aiming at a specified area in a specified time period, and acquiring network grade information of each grid in M grids corresponding to the specified area in the specified time period; m is an integer greater than or equal to 1; based on the network grade information of each grid in the M grids, determining the display color corresponding to each grid in the M grids, and displaying each grid in the M grids on a display interface according to the display color corresponding to each grid in the M grids; n grids are determined from the M grids, and the network grade information of each grid in the N grids meets the associated display condition; n is an integer greater than or equal to 1 and less than M; and outputting display areas associated with each grid in the N grids on a display interface, wherein the display area associated with one grid in the N grids is used for displaying network grade information of the one grid.

Wherein the network level information includes a network level. Determining the display color of the grid based on the network level of the grid may enable the grids of different network levels to display different colors to distinguish the individual grids within the designated area based on the network level. The network level information of each grid in the N grids meets the associated display condition, which can be understood that the N grids are grids with poor network levels, and the network level information of the grids with poor network levels is displayed, so that the internet of things equipment with poor network levels is managed based on the grids.

In one possible implementation manner, the method further includes: the display area associated with one grid of the N grids is further used for displaying identification information of K pieces of Internet of things equipment in the one grid, service level information of the K pieces of Internet of things equipment meets an associated display condition, and K is an integer greater than or equal to 1. The N grids can be understood as grids with poor network level, and K internet of things devices in a certain grid in the N grids can be understood as internet of things devices with poor service level. The display area of the grid not only displays the network grade information of the grid, but also displays the Internet of things equipment with poor service grade so as to correlate the grid with the Internet of things equipment with poor service grade, thereby being convenient for the Internet of things equipment management platform to manage the Internet of things equipment in a targeted manner.

In one possible implementation manner, the method further includes: determining processing suggestion information and/or early warning information of K pieces of Internet of things equipment; and outputting corresponding processing suggestion information and/or early warning information to management equipment associated with each Internet of things device in the K Internet of things devices. The management device can be used for managing the internet of things device, wherein the management device can be a computer server, a smart phone, a tablet computer or a handheld portable terminal, and the like. Therefore, the management equipment associated with the Internet of things equipment can quickly and accurately view and/or process the Internet of things equipment based on the processing suggestion information and/or the early warning information.

In one possible implementation manner, the method further includes: determining a first Internet of things equipment list from Internet of things equipment corresponding to the designated area, wherein service level information of the Internet of things equipment in the first Internet of things equipment list meets screening conditions; determining a second internet of things device list based on the internet of things devices in the N grids and the first internet of things device list; the internet of things devices in the N grids comprise internet of things devices in a second internet of things device list, and the second internet of things device list is contained in the first internet of things device list; and outputting abnormal prompt information aiming at each Internet of things device in the second Internet of things device list. Therefore, the Internet of things equipment can be rapidly and accurately checked or processed based on the abnormal prompt information of each Internet of things equipment in the second Internet of things equipment list, and the operation and maintenance efficiency of the Internet of things equipment can be improved.

In one possible implementation manner, the method further includes: the network level information includes one or more of network coverage level information, network interference level information, and network congestion probability level information.

In one possible implementation, the network level information includes network usage efficiency level information, and the method further includes: responding to a received query instruction aiming at a specified area in a specified time period, and acquiring network use efficiency grade information of each grid in M grids corresponding to the specified area in the specified time period; m is an integer greater than or equal to 1; determining the display color of each grid in the M grids in the display interface based on the network use efficiency grade information of each grid in the M grids; and displaying each grid in the M grids on the display interface according to the display color corresponding to each grid in the M grids.

Wherein the network usage efficiency level information includes a network usage efficiency level. Determining the display color of the grid based on the network usage efficiency level of the grid may enable the grids of different network usage efficiency levels to display different colors to distinguish the individual grids within the designated area based on the network usage efficiency level. The network usage efficiency level information of each grid in the N grids meets the associated display condition, which can be understood that the N grids are grids with poor network usage efficiency levels, and the network usage efficiency level information of the grids with poor network usage efficiency levels is displayed so as to manage the internet of things equipment with poor network usage efficiency levels based on the grids.

In one possible implementation manner, the method further includes: acquiring operator evaluation information of each grid in the M grids, wherein the operator evaluation information comprises operator scoring information and operator duty ratio information; and determining the operator proposal information corresponding to the designated area based on the operator evaluation information of each grid in the M grids, and outputting the operator proposal information. Therefore, the method and the device can recommend the operators to the Internet of things equipment based on the operator suggestion information, and are beneficial to improving the use experience of the users on the Internet of things equipment.

In a second aspect, an embodiment of the present application provides an apparatus for managing devices of the internet of things, where the apparatus includes:

the communication unit is used for receiving the reported information from the first Internet of things equipment;

the processing unit is used for determining a first grid of the first Internet of things device in the reference map; based on the reporting information of the first Internet of things equipment, determining the network grade information of the first Internet of things equipment and the service grade information of the first Internet of things equipment;

the display unit is used for responding to the received query instruction for the first Internet of things, outputting a first display area associated with the first grid on a display interface of the reference map, wherein the first display area is used for displaying monitoring information of the first Internet of things equipment, and the monitoring information of the first Internet of things equipment comprises identification information of the first Internet of things equipment, operator information of the first Internet of things equipment, network grade information of the first Internet of things equipment and service grade information of the first Internet of things equipment.

The device for managing the internet of things provided in the second aspect may be an internet of things device management platform or a device matched with the internet of things device management platform.

In a third aspect, embodiments of the present application provide a computer device, comprising: the device comprises a processor, a communication interface and a memory, wherein the processor, the communication interface and the memory are connected with each other, the memory stores executable program codes, and the processor is used for calling the executable program codes to realize the device management method of the Internet of things provided by the first aspect.

In a fourth aspect, an embodiment of the present application further provides a computer readable storage medium, where instructions are stored in the computer readable storage medium, when the computer readable storage medium runs on a computer, to enable the computer to implement the method for managing the internet of things device provided by the embodiment of the present application.

Drawings

Fig. 1 is a schematic architecture diagram of an internet of things device management system according to an exemplary embodiment of the present application;

FIG. 2 is a schematic diagram of a first Internet of things device management interface provided in an exemplary embodiment of the present application;

fig. 3 is a flowchart of a first method for managing devices of the internet of things according to an exemplary embodiment of the present application;

FIG. 4 is a schematic diagram of a second Internet of things device management interface provided in an exemplary embodiment of the present application;

fig. 5 is a flowchart of a second method for managing devices of the internet of things according to an exemplary embodiment of the present application;

FIG. 6 is a schematic diagram of a third Internet of things device management interface provided in an exemplary embodiment of the present application;

fig. 7 is a flowchart of a third method for managing devices of the internet of things according to an exemplary embodiment of the present application;

FIG. 8 is a schematic diagram of a fourth Internet of things device management interface provided in an exemplary embodiment of the present application;

FIG. 9 is a schematic diagram of a fifth Internet of things device management interface provided by an exemplary embodiment of the present application;

fig. 10 is a flowchart of a fourth method for managing devices of the internet of things according to an exemplary embodiment of the present application;

FIG. 11 is a schematic block diagram of an Internet of things device management apparatus according to an exemplary embodiment of the present application;

fig. 12 is a schematic block diagram of a computer device provided in an exemplary embodiment of the present application.

Detailed Description

The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.

First, a system architecture to which the embodiments of the present application are applied will be described.

Referring to fig. 1, fig. 1 is a schematic diagram of a system architecture to which an embodiment of the present application is applied. The system architecture can be understood as an internet of things management system or an internet of things system. The system architecture shown in fig. 1 includes smart glasses 101, a smart refrigerator 102, a smart bracelet 103, and a notebook computer 104. The smart glasses 101, the smart refrigerator 102 and the smart bracelet 103 can be understood as three different types of internet of things devices, and the notebook computer 104 can be understood as an internet of things device management platform. It should be noted that the number of devices and the configuration of the devices in fig. 1 are used as examples, and are not limited to the embodiments of the present application, for example, fig. 1 may further include a greater number of devices of the internet of things.

The internet of things equipment is equipment capable of realizing functions such as interconnection and interworking, automatic management, intelligent control and the like through technologies such as a network, cloud computing, a data transmission protocol and the like. The three types of internet of things devices are taken as examples of the intelligent glasses 101, the intelligent refrigerator 102 and the intelligent bracelet 103 in fig. 1, and the internet of things devices in the embodiment of the present application may also be other types of internet of things devices, such as, but not limited to, intelligent robots, intelligent sensors, intelligent bracelets, intelligent cameras, intelligent meters (e.g. intelligent electric meters), intelligent network vehicles, and the like.

The internet of things device management platform is used for monitoring and managing internet of things devices, and in some scenes, suggestions, such as operator suggestions, can be provided for the internet of things devices. The notebook computer 104 in fig. 1 is exemplified by one type of internet of things device management platform. The internet of things device management platform may also be a smart phone, a tablet computer, a desktop computer, a server, etc. In a possible implementation manner, the server may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDNs, basic cloud computing services such as big data and artificial intelligence internet of things device management platforms, and the like.

In the embodiment of the application, the internet of things device can send the report information to the internet of things device management platform, and the internet of things device management platform can obtain the monitoring information of the internet of things device based on the report information. The internet of things device management platform may send corresponding advice information, such as advice on a method of handling the fault or advice on an operator, to the internet of things device based on the monitoring information of the internet of things device.

Next, terms or related concepts related to the embodiments of the present application will be explained.

1. Grid structure

The grid refers to a grid divided according to a certain rule on a map. In the embodiment of the application, the internet of things device management platform divides grids with different uniform densities on the reference map according to different resolutions and manages the internet of things devices distributed in each grid. The reference map refers to a map adopted by the management platform of the internet of things.

2. Network level information

The network level information is used to represent the quality and reliability of network communications. The network level information includes one or more of network coverage level information, network interference level information, and network congestion probability level information or network usage efficiency level information.

(1) Network coverage class information

The network coverage class information is used to describe the case where the internet of things device is covered by the network. The network coverage level information may include a network coverage value and a network coverage level. The network coverage value may represent a degree of coverage of the network, and may be, for example, a signal received power (Reference Signal Receiving Power, RSRP). Network coverage levels may be determined based on the network coverage values, e.g., network coverage levels may be classified as strong coverage, medium coverage, weak coverage. Illustratively, for RSRP greater than-85 dBm, the network coverage level may be strong coverage; for RSRP greater than-105 dBm and less than-85 dBm, the network coverage level may be medium coverage; for RSRP less than-105 dBm, the network coverage level may be low coverage.

(2) Network interference level information

The network interference level information is used for describing the interference condition of the network to the Internet of things equipment. The network interference level information includes a network interference value and a network interference level. Optionally, the method further comprises the step of interfering the number of neighbor cells. The network interference value may represent the interference level of the neighboring cell to the primary serving cell in the same frequency band, for example, the difference between the RSRP of the neighboring cell and the RSRP of the primary serving cell may represent the network interference value. The network interference level may be determined based on the network interference value, e.g., the network interference level may be classified into co-frequency strong interference, co-frequency medium interference, and co-frequency weak interference. For example, for the difference between the RSRP of the neighboring cell and the RSRP of the primary serving cell being greater than-3 dB, the network interference level may be co-frequency strong interference, and when the network interference level is co-frequency strong interference, the number of interfering neighboring cells is the sum of the number of strong interfering neighboring cells and the number of weak interfering neighboring cells; for the difference of the strength of the RSRP of the adjacent cells and the RSRP of the main serving cell being more than-6 dB and less than-3 dB, the network interference level can be interference in the same frequency, and when the network interference level is interference in the same frequency, the number of the interference adjacent cells is the number of weak interference adjacent cells; for the difference of the strength of the RSRP of the adjacent cells and the RSRP of the main serving cell is smaller than-6 dB, the network interference level can be the same-frequency weak interference, and when the network interference level is the same-frequency weak interference, the number of the interference adjacent cells is 0.

(3) Network congestion level information

The network congestion level information is used to describe the network congestion situation. The network congestion level information includes a network congestion value and a network congestion level. The network congestion probability value may represent a probability that the network is congested due to excessive network traffic or insufficient network resources. The network congestion probability value may be determined, for example, by the frequency of the primary serving cell and the frequency of the neighbor cells. The network congestion probability level may be determined based on the network congestion probability value, e.g., the network congestion probability level may be classified as high network congestion probability and low network congestion probability. For example, for only the same-frequency neighbor cell in the three neighbor cells of the main serving cell, or only one different-frequency neighbor cell except the same-frequency neighbor cell, the network congestion probability level may be that the network congestion probability is high, and the main serving cell is considered to have only 1 or 2 4G carrier frequency resources, and the fuzzy recognition is determined to be limited by the 4G long term evolution (Long Term Evolution, LTE) network resources; for more than 2 different-frequency neighbor cells except the same-frequency cell in the three neighbor cell data of the main service cell, the network congestion probability level can be that the network congestion probability is low, and the network congestion probability level is regarded as more than 3 4G carrier frequency resources for the main service cell, and the fuzzy recognition is judged as the 4GLTE network resources not being limited.

(4) Network usage efficiency level information

The network usage efficiency information is used to describe the usage efficiency of the network. The network usage efficiency level information includes a network usage efficiency value and a network usage efficiency level. The network usage efficiency value may represent the network resource utilization efficiency in the grid, for example, may be represented by a sum of uplink and downlink data traffic in the grid and a value obtained by projecting the number of the internet of things devices in the grid to a section of 0-1 according to a nonlinear normalization algorithm, where the sum of uplink and downlink data traffic in the grid is a sum of uplink and downlink data traffic of all the internet of things devices in the grid. The network usage efficiency level may be determined based on the network usage efficiency value, e.g., the network usage efficiency level may be classified as good, medium, and bad. For example, for network usage efficiency values greater than seventy percent, the network usage efficiency level may be network usage efficient; for network usage efficiency values less than or equal to seventy percent and greater than thirty percent, the network usage efficiency level may be in network usage efficiency; for network usage efficiency values less than thirty percent, the network usage efficiency level may be poor network usage efficiency.

3. Service class information

The service class information is used to represent the performance of a service operating based on network communication. The traffic class information includes one or more of average rate class information, average delay class information, or packet error rate class information.

(1) Average rate class information

The average rate class information is used to describe the data transmission capabilities of the service running on the internet of things device. The average rate level information may include an average rate value and an average rate level. The average rate value may represent an average rate of data transmission in the network, which may be divided into an upload data rate and a download data rate. The average rate level may be determined based on the average rate value, e.g., the average rate level may be categorized as good average rate, medium average rate, and average rate difference. By way of example, for download data rates greater than or equal to 7.5Mbps and upload data rates greater than or equal to 3.5Mbps, the average rate level may be an average rate good; for download data rates greater than or equal to 2.5Mbps and less than 7.5Mbps, upload data rates greater than or equal to 1Mbps and less than 3.5Mbps, the average rate level may be among the average rates; for download data rates less than 2.5Mbps and upload data rates less than 1Mbps, the average rate level may be an average rate difference.

(2) Average delay class information

The average latency level information is used to describe network delays of services running on the internet of things device. The average delay class information may include an average delay value and an average delay class. The average delay value may represent the average time required for data from the sender to the receiver in the network. The average delay level may be determined based on the average delay value, e.g., the average delay level may be classified into an average delay, and an average delay difference. For example, for average delays less than 0.3 seconds, the average delay level may be the average delay good; for average delays less than or equal to 0.7 seconds and greater than or equal to 0.3 seconds, the average delay level may be the average delay; for average delays greater than 0.7 seconds, the average delay level may be the average delay difference.

(3) Packet error rate class information

The packet error rate grade information is used for describing the error degree of the data packet of the transmission service of the Internet of things equipment. The packet error rate level information may include a packet error rate value and packet error rate level information. The packet error value may represent the ratio of the number of erroneously received packets to the total number of received packets or the ratio of the number of retransmitted packets to the number of transmitted packets. The packet error rate level may be determined based on the packet error rate value, e.g., the packet error rate level may be categorized as good, medium, and bad. For example, for the number of retransmission packets, the ratio of the number of retransmission packets in the reported information is less than or equal to three percent, the packet error rate level may be good; for the number of retransmission data packets, the packet error rate level may be the packet error rate for the number of retransmission data packets in the reported information having a ratio of less than ten percent to greater than three percent; the packet error rate level may be a packet error rate difference for a number of retransmitted packets less than ten percent of the number of transmitted packets in the reporting information.

4. Internet of things equipment management interface

The internet of things device management interface is a user interface for managing and monitoring internet of things devices, and may include an internet of things device registration interface, an internet of things device management interface, an internet of things device alarm interface, and the like. The internet of things device management interface related in the embodiment of the application is used for managing internet of things devices, and comprises a display interface of a reference map, a display interface of the internet of things device, a display interface of a grid and the like.

For example, referring to fig. 2, fig. 2 is a schematic diagram of a first device management interface of the internet of things according to an exemplary embodiment of the present application. The internet of things device management interface 20 may include a display interface 10 of a reference map, where the reference map is displayed on the display interface 10 of the reference map, and one or more internet of things devices and one or more grids are also displayed on the display interface 10 of the reference map. For example, the internet of things device 40 is displayed in the display interface 10 of the reference map, and the display position thereof in the display interface 10 of the reference map is determined based on the geographical position information of the internet of things device 40. For another example, a grid 60 is displayed in the display interface 10 of the reference map, and the grid 60 is a grid to which the internet of things device 40 belongs.

The method for managing the internet of things device according to the embodiment of the present application is described in detail below based on the system architecture shown in fig. 1.

Referring to fig. 3, fig. 3 is a flowchart of a first method for managing devices of the internet of things according to an exemplary embodiment of the present application. The method includes, but is not limited to, the steps of:

s201, the first Internet of things device sends reporting information to an Internet of things device management platform. Correspondingly, the Internet of things device management platform receives the report information from the first Internet of things device.

In an embodiment, the first internet of things device may be any one of the internet of things devices managed by the internet of things device management platform. The first internet of things device may be an internet of things device that has just registered to the internet of things device management platform; or, the first internet of things device may be an internet of things device connected to the same local area network as the internet of things device management platform; etc.

The reporting information is used for feeding back the network communication state of the internet of things equipment and the geographic position of the internet of things equipment to the platform. The reported information may include parameters related to the network communication status, geographical location information, and so forth. The network communication status related parameters may include one or more of RSRP of the primary serving cell, frequency point value, upload data rate, download data rate, frequency of the primary serving cell, frequency of the neighbor cell, RSRP of the neighbor cell, average delay, number of transmitted data packets, number of retransmitted data packets, or size of traffic of the transception data. Optionally, the network communication status related parameters may further include one or more of signal strength, frequency point value, signal to noise ratio, tracking area code, public land mobile network (Public Land Mobile Network, PLMN), data transmission time or communication failure related status code, etc. For the first internet of things device, the parameters related to the network communication state of the first internet of things device can be acquired by a software development kit (Software Development Kit, SDK) built in the first internet of things device. The geographic position information of the mobile terminal can be acquired by a global positioning system (Global Positioning System, GPS) chip built in the first Internet of things device, and can be expressed by longitude and latitude or expressed by specific street number and the like.

In one mode, the first internet of things device may send the report information to the internet of things device management platform when the first internet of things device is powered on. Or after the first internet of things device completes registration, sending reporting information to the internet of things device management platform. Or, the first internet of things device may periodically send the report information to the internet of things device management platform, for example, send the report information every month, send the report information every week, or send the report information every day, etc. In the embodiment of the application, the time for the first internet of things device to send the report information to the internet of things device management platform is not limited.

S202, the Internet of things equipment management platform determines a first grid of the first Internet of things equipment in a reference map.

In an embodiment, the internet of things device management platform may determine, in the reference map, a grid to which the first internet of things device belongs based on geographic location information of the first internet of things device and a rule of dividing the grid in the reference map. In the embodiment of the present application, the grid to which the first internet of things belongs is referred to as a first grid.

S203, the Internet of things equipment management platform determines network grade information of the first Internet of things equipment and service grade information of the first Internet of things equipment based on the reported information of the first Internet of things equipment.

In an embodiment, for the RSRP of the main serving cell, the device management platform of the internet of things determines the network coverage level based on the RSRP. Optionally, the network coverage level is determined based on a size relationship between the RSRP and a set of network coverage thresholds. For example, the set of network coverage thresholds may include-85 dBm and-105 dBm, and when the RSRP is greater than-85 dBm, the network coverage level of the first internet of things device may be strong coverage; when the RSRP is greater than-105 dBm and less than-85 dBm, the network coverage level of the first internet of things device may be a medium coverage; when the RSRP is less than-105 dBm, the network coverage level of the first internet of things device may be weak coverage.

In an embodiment, for the reporting information including the RSRP of the neighboring cell and the RSRP of the primary serving cell, the internet of things device management platform determines the network interference level based on a difference between the RSRP of the neighboring cell and the RSRP of the primary serving cell. Optionally, the network interference level is determined based on a magnitude relation between the difference and the set of network interference thresholds. For example, the set of network interference thresholds may include-3 dB and 6dB, and when the difference is greater than-3 dB, the network interference level of the first internet of things device may be co-frequency strong interference; when the difference is greater than-6 dB and less than-3 dB, the network interference level of the first internet of things device may be co-frequency interference; when the difference is smaller than-6 dB, the network interference level of the first internet of things device may be co-frequency weak interference.

In an embodiment, for the reporting information including the frequency of the primary serving cell and the frequency of the neighboring cell, the internet of things device management platform determines the network congestion probability level based on the frequency relationship between the frequency of the primary serving cell and the frequency of the neighboring cell. For example, when it is determined that only the same-frequency neighbor cell is in the three neighbor cells of the main serving cell based on the frequency of the main serving cell and the frequency of the neighbor cells, or only one different-frequency neighbor cell is removed from the same-frequency neighbor cell, the network congestion probability level of the first internet of things device may be that the network congestion probability is high; when it is determined that more than 2 different-frequency neighbor cells are removed from the same-frequency cells in the three neighbor cell data of the main service cell based on the frequency of the main service cell and the frequency of the neighbor cells, the network congestion probability level of the first internet of things device can be low.

In an embodiment, for the reporting information including the upload data rate and the download data rate, the internet of things device managementThe platform determines an average rate level based on the upload data rate and the download data rate. Optionally, an average rate level is determined based on the uploading data rate and a magnitude relation between the downloading data rate and an average rate threshold set. For example, the average rate threshold set may include 7.5Mbps, 3.5Mbps _、 2.5Mbps and 1Mbps, when the download data rate is greater than or equal to 7.5Mbps and the upload data rate is greater than or equal to 3.5Mbps, the average rate level of the first internet of things device may be an average rate good; when the download data rate is greater than or equal to 2.5Mbps and less than 7.5Mbps, the upload data rate is greater than or equal to 1Mbps and less than 3.5Mbps, and the average rate level of the first internet of things device may be the average rate; when the download data rate is less than 2.5Mbps and the upload data rate is less than 1Mbps, the average rate level of the first internet of things device may be an average rate difference.

In an embodiment, for the reporting information including an average time delay, the internet of things device management platform determines an average time delay level based on the average time delay. Optionally, the average delay level is determined based on a magnitude relationship between the average delay and the set of average delay thresholds. For example, the set of average latency thresholds may include 0.3 seconds and 0.7 seconds, and when the average latency is less than 0.3 seconds, the average latency level of the first internet of things device may be the average latency good; when the average time delay is less than or equal to 0.7 seconds and greater than or equal to 0.3 seconds, the average time delay level of the first internet of things device may be the average time delay; when the average time delay is greater than 0.7 seconds, the average time delay level of the first internet of things device may be an average time delay difference.

In an embodiment, for the reporting information including the number of retransmission packets and the number of transmitted packets, the internet of things device management platform determines the packet error rate level based on a ratio of the number of retransmission packets to the number of transmitted packets. Optionally, the packet error rate level is determined based on a magnitude relation between the duty cycle and the set of packet error rate thresholds. For example, the set of packet error rate thresholds may include three percent and ten percent, and when the duty cycle is less than or equal to three percent, the packet error rate level of the first internet of things device may be good packet error rate; when the duty ratio is less than ten percent and greater than three percent, the packet error rate level of the first internet of things device may be the packet error rate; when the duty ratio is less than ten percent, the packet error rate level of the first internet of things device may be a packet error rate difference.

S204, responding to the received query instruction for the first Internet of things equipment, and outputting a first display area (used for displaying monitoring information of the first Internet of things equipment) associated with the first grid on a display interface of the reference map.

The first display area is configured to display monitoring information of a first internet of things device, where the monitoring information of the first internet of things device includes, but is not limited to, one or more of identification information of the first internet of things device, operator information of the first internet of things device, network level information of the first internet of things device, and service level information of the first internet of things device. The identification information of the first internet of things device includes, but is not limited to, a network system of the first internet of things device, an IMEI of the first internet of things device, and a device type of the first internet of things device. The operator information of the first internet of things device is an operator to which the first internet of things device belongs.

In one implementation, the query instruction for the first internet of things device may be a search instruction for the first internet of things device. Referring to fig. 4, fig. 4 is a schematic diagram of a second device management interface for internet of things according to an exemplary embodiment of the present application. The internet of things device management platform receives an input operation for the first internet of things device in the device query input area 11, and receives a confirmation operation (for example, a search operation or a click operation) in the search input area 50, which may be understood as receiving a search instruction for the first internet of things device. The content of the input device query input area 11 may be identification information of the first internet of things device, such as an international mobile equipment identity (International Mobile Equipment Identity, IMEI) or the like. In response to the search instruction for the first internet of things device, the internet of things device management platform displays monitoring information of the first internet of things device in the first display area 16 associated with the first grid, where the monitoring information of the first internet of things device is determined by the internet of things device management platform based on the reporting information in step 201.

In another implementation, the query instruction for the first internet of things device may also be a click instruction for the first internet of things device. For example, referring to fig. 4, the internet of things device management platform receives a click operation, i.e. a click command, on the first internet of things device 18 displayed in the display interface 10, and, in response to the click command, the internet of things device management platform displays monitoring information of a current time of the first internet of things device on the first display area 16 associated with the first grid.

In the embodiment shown in fig. 3, the management effect of the internet of things device can be improved by displaying the monitoring information of the internet of things device on the display interface of the reference map.

As an optional embodiment, the query instruction for the first internet of things device may be used to query the monitoring information of the first internet of things device in the specified time period. The internet of things device management platform receives an input operation for the first internet of things device in the device query input area 11, receives an input operation for a specified time period in the time query input area 12, and receives a confirmation operation (such as a search operation or a click operation) in the search input area 50, which can be understood as receiving a search instruction for the first internet of things device in the specified time period. The content of the input-time query input area 12 may be a query start time and a query end time, and the specified period may be represented as a time range determined by the above-described query start time and query end time. For example, when the query start time is 2023, 10 months and the query stop time is 2023, 11 months, the specified period is 2023, 10 months, to 2023, 11 months. In response to a search instruction for the first internet of things device within the specified time period, the internet of things device management platform displays monitoring information of the first internet of things device within the specified time period on the first display area 16 associated with the first grid.

In another implementation, the internet of things device management platform receives a click operation on the first internet of things device 18 and receives an input operation for a specified time period in the time query input area 12, which can be understood as receiving a search instruction for the first internet of things device in the specified time period, and in response to the search instruction for the first internet of things device in the specified time period, the internet of things device management platform displays monitoring information of the current time of the first internet of things device in the first display area 16 associated with the first grid.

The internet of things device management platform can obtain monitoring information of the first internet of things device in a specified time period through one or more times of information reported by the first internet of things device received in the specified time period. Taking an example that the internet of things device management platform obtains network grade information of the first internet of things device in a specified time period through the received one or more pieces of reporting information of the first internet of things device in the specified time period, the internet of things device management platform respectively averages one or more network coverage values, network interference values and network congestion probability values obtained according to the one or more pieces of reporting information of the first internet of things device obtained in the specified time period. Taking the average value of the one or more network coverage values as the network coverage value of the first Internet of things equipment in a specified time period, taking the average value of the one or more network interference values as the network interference value of the first Internet of things equipment in the specified time period, and taking the average value of the one or more network congestion probability values as the network congestion probability value of the first Internet of things equipment in the specified time period. And the Internet of things equipment management platform respectively obtains the network coverage level, the network interference level and the network congestion probability level of the first Internet of things equipment in the appointed time period according to the network coverage value, the network interference value and the network congestion probability value of the first Internet of things equipment in the appointed time period. Correspondingly, the first display area can be used for displaying the monitoring information of the first internet of things device in the appointed time period.

In the embodiment shown in fig. 3, the device management platform of the internet of things may directly manage the device of the internet of things. The internet of things device management platform can also manage the internet of things device by taking the grid as a unit. The embodiment shown in fig. 5 manages the internet of things device in units of a grid.

Referring to fig. 5, fig. 5 is a flowchart of a second method for managing devices of the internet of things according to an exemplary embodiment of the present application, where the method may include, but is not limited to, the following steps:

s301, acquiring network grade information of second internet of things equipment and service grade information of the second internet of things equipment in the first grid, wherein the second internet of things equipment is the internet of things equipment except the first internet of things equipment in the first grid.

The description of the first grid and the first internet of things device may refer to the embodiment shown in fig. 3, which is not described herein. The second internet appliance may have one or more. When the second internet of things devices are multiple, the internet of things device management platform acquires network grade information and service grade information of each internet of things device in the second internet of things device.

S302, monitoring information of a first grid is determined based on network grade information of first Internet of things equipment, service grade information of the first Internet of things equipment, network grade information of second Internet of things equipment and service grade information of the second Internet of things equipment.

In an embodiment, the monitoring information of the first grid includes, but is not limited to, one or more of a reference number of the first grid, location information of the first grid, operator information of the first grid, network level information of the first grid, and traffic level information of the first grid.

The position information of the first grid may be the longitude and latitude of the position where the first grid is located, and the longitude and latitude of the position where the first grid is located may include the longitude and latitude of the position where the upper left corner of the first grid is located and the longitude and latitude of the position where the lower right corner of the first grid is located.

In an embodiment, the operator information of the first grid is used to represent a ratio of the number of the internet of things devices managed by each operator in the first grid to the number of all the internet of things devices in the first grid. For example, the first grid includes 3 internet of things devices, and operators to which the 3 internet of things devices belong are operator a, operator B, and operator C, respectively. Then, the operator information of the first grid may be expressed as a 1/3 ratio of operator a, a 1/3 ratio of operator B, and a 1/3 ratio of operator C. For another example, the first grid includes 4 pieces of internet of things equipment, and operators to which the 4 pieces of internet of things equipment belong are respectively an operator a, an operator C and an operator C. Then, the operator information of the first grid may be expressed as a duty cycle of 1/2 for operator a and a duty cycle of 1/2 for operator C.

In an embodiment, the internet of things device management platform may use an average value of network coverage values of the internet of things devices in the first grid as the network coverage value of the first grid, and obtain the network coverage level of the first grid based on the network coverage value of the first grid. The internet of things device management platform may use an average value of network interference values of the internet of things devices in the first grid as a network interference value of the first grid, and obtain a network interference level of the first grid based on the network interference value of the first grid. The internet of things device management platform may take an average value of network congestion probability values of the internet of things devices in the first grid as the network congestion probability value of the first grid, and obtain a network congestion probability level of the first grid based on the network congestion probability value of the first grid.

In an embodiment, the internet of things device management platform may use an average value of average speed values of the internet of things devices in the first grid as the average speed value of the first grid, and obtain the average speed value level of the first grid based on the average speed value of the first grid. The internet of things device management platform can take the average value of the average time delay values of the internet of things devices in the first grid as the average time delay value of the first grid, and obtain the average time delay level of the first grid based on the average time delay value of the first grid. The internet of things device management platform can take an average value of the packet error values of the internet of things devices in the first grid as the packet error value of the first grid, and obtain the packet error rate level of the first grid based on the packet error value of the first grid.

In an embodiment, for each piece of information of the internet of things device in the first grid to include uplink and downlink data, the internet of things device management platform indicates the first grid network usage efficiency value based on a value obtained by projecting the sum of the uplink and downlink data of all pieces of internet of things device in the first grid and the number of pieces of internet of things device in the grid to a section of 0-1 according to a nonlinear normalization algorithm. The internet of things device management platform determines a first grid network usage efficiency level based on the first grid network usage efficiency value. Optionally, the first grid network usage efficiency level is determined based on a magnitude relationship between the first grid network usage efficiency value and the set of network usage efficiency thresholds. For example, the set of network usage efficiency thresholds may include thirty percent and seventy percent, and the first grid network usage efficiency level may be network usage efficient when the first grid network usage efficiency value is greater than seventy percent; the first grid network usage efficiency level may be in network usage efficiency when the first grid network usage efficiency value is less than or equal to seventy percent and greater than thirty percent; when the first grid network usage efficiency value is less than thirty percent, the first grid network usage efficiency level may be network usage efficiency poor.

S303, responding to the received query instruction for the first grid, and outputting a second display area associated with the first grid on a display interface, wherein the second display area is used for displaying monitoring information of the first grid.

In one implementation, the query instruction for the first grid may be a search instruction for the first grid. Referring to fig. 6, fig. 6 is a schematic diagram of a third device management interface for internet of things according to an exemplary embodiment of the present application. The internet of things device management platform receives an input operation for the first grid in the grid query input area 13, and receives a confirmation operation (such as a search operation or a click operation) in the search input area 50, which may be understood as receiving a search instruction for the first grid. The contents of the input grid query input area 13 may include, but are not limited to, one or more of a reference number of the first grid or location information of the first grid. In response to the search instruction for the first grid, the internet of things device management platform displays monitoring information of the first grid in the second display area 17 associated with the first grid, where the monitoring information of the first grid is determined by the internet of things device management platform based on the network level information of the first internet of things device, the service level information of the first internet of things device, the network level information of the second internet of things device, and the service level information of the second internet of device in step 302.

In another implementation, the query instruction for the first grid may also be a click instruction for the first grid. For example, referring to fig. 6, the device management platform of the internet of things receives a click operation, i.e. a click command, in the first grid 15, and in response to the click command, the device management platform of the internet of things displays monitoring information of the first grid in the second display area 17 associated with the first grid.

In the embodiment shown in fig. 5, the internet of things device management platform may implement management of the internet of things device using the grid as a unit.

As an alternative embodiment, a query instruction for the first grid may be used to query the first grid for monitoring information over a specified period of time. The internet of things device management platform receives an input operation for the first grid in the grid query input area 13, receives an input operation for a specified time period in the time query input area 12, and receives a confirmation operation (such as a search operation or a click operation) in the search input area 50, which can be understood as receiving a search instruction for the first grid in the specified time period. In response to a search instruction for the first grid within a specified time period, the internet of things device management platform displays monitoring information of the first grid within the specified time period on a second display area 17 associated with the first grid. The monitoring information of the first grid in the specified time period is determined by the internet of things device management platform based on the network level information of the first internet of things device in the specified time period, the service level information of the first internet of things device in the specified time period, the network level information of the second internet of things device in the specified time period and the service level information of the second internet of things device in the specified time period in step 302.

In another implementation, the internet of things device management platform receives a click operation on the first grid 15 and receives an input operation for a specified time period in the time query input area 12, which can be understood as receiving a search instruction for the first grid within the specified time period, and in response to the search instruction for the first grid within the specified time period, displaying, by the internet of things device management platform, monitoring information of the first grid within the specified time period on the second display area 17 associated with the first grid.

The device management platform of the internet of things can also determine the display colors of the grids based on the network levels of the grids, the grids of different network levels correspond to different display colors, and N grids with poor network level information can also be output on the display interface. In this way, the internet of things device can be managed based on the network level of the grid.

Referring to fig. 7, fig. 7 is a flowchart of a third method for managing devices of the internet of things according to an exemplary embodiment of the present application.

S401, responding to a received query instruction aiming at a specified area in a specified time period, and acquiring network grade information of each grid in M grids corresponding to the specified area in the specified time period.

In one embodiment, there are M grids in a designated area. Referring to fig. 8, the device management platform of the internet of things may receive an input operation for a specified area in the area query input area 14, an input operation for a specified time period in the time query input area 12, and a confirmation operation (such as a search operation or a click operation) in the search input area 50, which may be understood as receiving a query instruction for the specified area within the specified time period. The content of the input area query input area 14 may be the name of the specified area. In response to a query instruction for a specified area within a specified time period, the internet of things device management platform obtains network level information of each of M grids of the specified area within the specified time period, and displays M grids (e.g., grid 30, grid 31, grid 32, grid 33, grid 34, grid 35, and grid 36) on the display interface 10.

In another implementation, the internet of things device management platform receives an input operation for a specified area in the area query input area 14, and receives a confirmation operation (such as a search operation or a click operation) in the search input area 50, which may be understood as receiving a query instruction for the specified area at the current time. In response to a query instruction for a specified area at a current time, the internet of things device management platform obtains network level information of each of M grids of the specified area at the current time, and displays M grids (for example, grid 30, grid 31, grid 32, grid 33, grid 34, grid 35, and grid 36) on the display interface 10.

S402, determining display colors corresponding to the grids in the M grids based on the network level information of the grids in the M grids, and displaying the grids in the M grids on a display interface according to the display colors corresponding to the grids in the M grids.

In an embodiment, the device management platform of the internet of things may determine, based on the network coverage level of each of the M grids in the current time or the specified time period of the specified area, a display color of the network coverage level corresponding to each grid. The grids of different network coverage levels may have different network coverage level display colors. For example, for a grid with a network coverage level of strong coverage, it displays a color of color 1 (e.g., green); for a grid with a network coverage level of middle coverage, it displays color 2 (e.g., yellow); for a grid with a network coverage level of weak coverage, it shows a color of color 3 (e.g., red).

In an embodiment, the device management platform of the internet of things may determine, based on the network interference level of each of the M grids in the current time or the specified time period of the specified area, a network interference level display color corresponding to each grid. The grids of different network interference levels may have different network interference level display colors. For example, for a grid with a network interference level of co-channel strong interference, it appears as color 3 (e.g., red); for a grid with network interference level that is interference in the same frequency, it shows color 2 (e.g., yellow); for a grid with a network interference level of co-channel weak interference, the display color is color 1 (e.g., green).

In an embodiment, the device management platform of the internet of things may determine, based on the network congestion probability level of each of M grids in the specified area at the current time or within the specified time period, a network congestion probability level display color corresponding to each grid. The grids of different network congestion probability levels may have different network congestion probability level display colors. For example, for a grid with a network congestion probability level that is low, it is displayed with color 1 (e.g., green); for a grid with a high network congestion level, the display color is color 3 (e.g., red).

In an embodiment, the device management platform of the internet of things may determine, based on the network usage efficiency level of each of the M grids in the current time or the specified time period of the specified area, a network usage efficiency level display color corresponding to each grid. The grids of different network usage efficiency levels may have different network usage efficiency levels displaying colors. For example, for a grid with a network usage efficiency level of network usage efficiency, it displays color 1 (e.g., green); for a grid in network usage efficiency rating that shows color 2 (e.g., yellow); for a grid with a network usage efficiency rating of network usage inefficiency, it displays a color of color 3 (e.g., red).

In the embodiment of the present application, each of M grids in the specified area is distinguished based on the network coverage level in the network level. Referring to fig. 9, the device management platform of the internet of things may receive an input operation for a specified area in the area query input area 14, an input operation for a specified time period in the time query input area 12, an input operation for a network coverage level in the network level query input area 19, and a confirmation operation (e.g. a search operation or a click operation) in the search input area 50, which may be understood as receiving a query instruction for the network coverage level of the specified area in the specified time period. The content entered into the network level query input area 19 may be a network coverage level. In response to the query instruction, the internet of things device management platform displays a color on the display interface 10 according to a network coverage level corresponding to each of the M grids in the specified time period. Illustratively, the display color of grid 30 and grid 31 is color 1 (e.g., green), the display color of grid 32, grid 34, and grid 35 is color 2 (e.g., yellow), and the display color of grid 33 and grid 36 is color 3 (e.g., red).

In another implementation, the device management platform of the internet of things may also receive an input operation for a specified area in the area query input area 14, an input operation for a network coverage level in the network level query input area 19, and a confirmation operation (such as a search operation or a click operation) in the search input area 50, which may be understood as receiving a query instruction for the specified area for the network coverage level at the current time. In response to the query instruction, the internet of things device management platform displays a color on the display interface 10 according to the network coverage level corresponding to the current time of each of the M grids.

S403, determining N grids from the M grids, wherein the network level information of each grid in the N grids meets the associated display condition.

In an embodiment, the network level information of each grid in the N grids meets the associated display condition, which can be understood as a grid with a poor network level. Specifically, the N grids may be N grids with network coverage values from low to high, N grids with network interference values from high to low, or N grids with network congestion probability values from high to low in the specified time period or the current time, where N is an integer greater than or equal to 1 and less than M. The specific value of N may be set by an operator of the device management platform of the internet of things, or may be a default value. For example, a default network coverage value is 5 grids from low to high.

S404, outputting display areas associated with each grid in the N grids on a display interface, wherein the display areas associated with one grid in the N grids are used for displaying network grade information of one grid.

In an embodiment, the device management platform of the internet of things may output, from the display interface, N grids with network coverage values from low to high, N grids with network interference values from high to low, and N grids with network congestion probability values from high to low in the specified time period or the current time, respectively.

In an embodiment, taking any one of the N grids as an example, the display area associated with one grid may also be used to display identification information, such as IMEI, of K internet of things devices in one grid. K pieces of Internet of things equipment in one grid can score K pieces of Internet of things equipment from low to high for business grade information in the grid. The scoring of the service grade information of the internet of things equipment can be obtained by comprehensively scoring the internet of things equipment management platform according to the network grade information or the service grade information of the internet of things equipment. For example, the internet of things device management platform may score an average of an average speed value, an average time delay value, and a packet error value of the internet of things device as the internet of things device business class information.

The internet of things device management platform can also determine processing suggestion information and/or early warning information of K internet of things devices, and output corresponding processing suggestion information and/or early warning information to management devices associated with all the K internet of things devices. The management device can be used for managing the internet of things device, wherein the management device can be a computer server, a smart phone, a tablet computer or a handheld portable terminal, and the like. The management equipment associated with the internet of things equipment can quickly and accurately view and/or process the internet of things equipment based on the processing suggestion information and/or the early warning information. The internet of things device management platform can determine processing suggestion information and/or early warning information of the K internet of things devices according to network level information of grids associated with the K internet of things devices. For example, if the grids associated with the K internet of things devices belong to one of N grids from low to high in network coverage value among the M grids and do not belong to one of N grids from high to low in network interference value and N grids from high to low in network congestion probability value among the M grids. At this time, the processing suggestion information of the K pieces of internet of things equipment may be: measures should be taken to increase the RSRP of the internet of things device (e.g., a base station closer to the internet of things device may be selected for connection). The early warning information of the K internet of things devices may be: the network coverage of the internet of things equipment is poor.

In the embodiment shown in fig. 7, the device management platform of the internet of things may determine a display color of the grid based on the network level of the grid, and may implement that the grids of different network levels display different colors to distinguish the grids in the designated area based on the network level. The Internet of things equipment management platform displays network grade information of the grid with the poor network grade so as to manage the Internet of things equipment with the poor network grade based on the grid. And the internet of things equipment management platform is used for associating the grids with the network level differences with the internet of things equipment with the service level differences, so that the internet of things equipment management platform can manage the internet of things equipment in a targeted mode.

The internet of things equipment management platform can also perform fault analysis on the internet of things equipment with poor service grade information in the appointed area based on the grid with poor network grade information in the appointed area and the internet of things equipment with poor service grade information, so as to obtain the network abnormality reason of the internet of things equipment with poor service grade information.

Referring to fig. 10, fig. 10 is a flowchart of a fourth method for managing devices of the internet of things according to an exemplary embodiment of the present application.

S501, determining a first Internet of things equipment list from Internet of things equipment corresponding to a designated area, wherein service level information of the Internet of things equipment in the first Internet of things equipment list meets screening conditions.

In an embodiment, the first internet of things device list is used for representing one or more internet of things devices with service level information scores ranging from low to high in the designated area. Taking an example that A pieces of Internet of things equipment exist in the first Internet of things equipment list, the service grade information of the A pieces of Internet of things equipment is A pieces of Internet of things equipment with the service grade information in a designated area from low to high. A description of the service level information scoring of the internet of things device may be found in the embodiment shown in fig. 7.

In an embodiment, from the internet of things devices corresponding to the designated area, determining the first internet of things device list may be: taking an example that A pieces of Internet of things equipment exist in the first Internet of things equipment list, the Internet of things equipment management platform calculates service grade information scores of all pieces of Internet of things equipment in a designated area, and A pieces of Internet of things equipment with service grade information scores ranging from low to high are screened out.

S502, determining a second internet of things device list based on the internet of things devices in the N grids and the first internet of things device list; the internet of things devices in the N grids include internet of things devices in a second internet of things device list, and the second internet of things device list is included in the first internet of things device list.

The N grids are N grids with network coverage values ranging from low to high in a designated area and N grids with network interference values ranging from high to low and/or N grids with network congestion probability values ranging from high to low.

In an embodiment, based on the internet of things devices and the first internet of things device list in the N grids, determining the second internet of things device list may be: taking any one of the internet of things devices in the first internet of things device list as an example, judging whether the grid to which the internet of things device belongs to one of N grids, if the internet of things device belongs to one of N grids, analyzing the internet of things device based on the network grade information of the grid to which the internet of things device belongs to obtain a reason for causing the service grade information of the internet of things device to be low in score, and determining that the internet of things device is contained in the second internet of things device list. For example, if the grid to which the internet of things device belongs is one of N grids with network coverage values from low to high in the designated area and does not belong to one of N grids with network interference values from high to low and N grids with network congestion probability values from high to low in the designated area, it is determined that the low service class information score of the internet of things device is caused by the network coverage difference. If the Internet of things device does not belong to one of the N grids, determining that the Internet of things device is not included in the second Internet of things device list.

S503, outputting abnormal prompt information aiming at each Internet of things device in the second Internet of things device list.

In an embodiment, the abnormal prompt information of each internet of things device in the second internet of things device list is a reason that the service level information of each internet of things device is low in score.

In an embodiment, the internet of things device management platform outputs the abnormal prompt information of each internet of things device in the second internet of things device list or outputs the abnormal prompt information to the management device associated with each internet of things device in the second internet of things device list through the display interface of the reference map, and the internet of things device management platform can manage the internet of things devices with low service grade information scores caused by network problems in a designated area more efficiently.

The internet of things device management platform can send the identification information of each internet of things device in the second internet of things device list and the fault processing suggestions corresponding to each internet of things device to the management device or related manager associated with the corresponding internet of things device, can quickly and accurately check or process the internet of things device, and is beneficial to improving the operation and maintenance efficiency of the internet of things device. The fault handling suggestion corresponding to the internet of things device may be obtained by the abnormal prompt information of the internet of things device, for example, if the abnormal prompt information of the internet of things device is that the service class information score of the internet of things device is low and is caused by the network coverage difference, at this time, the fault handling suggestion of the internet of things device may be: switch to another operator.

In the embodiment shown in fig. 10, the management platform of the internet of things device may quickly and accurately view or process the internet of things device based on the abnormal prompt information of each internet of things device in the second internet of things device list, which is helpful for improving the operation and maintenance efficiency of the internet of things device.

As an optional embodiment, taking an example that there are M grids in the designated area, the device management platform of the internet of things may further obtain operator evaluation information of each grid in the M grids, where the operator evaluation information includes operator scoring information and operator duty ratio information. Taking any one of the M grids as an example, the internet of things device management platform may determine operator scoring information of the grid according to monitoring information of each internet of things device in the grid. For example, the internet of things device management platform may determine operator scoring information for the grid according to the operator information and the service level information score for each internet of things device in the grid. The grid comprises 4 pieces of internet of things equipment, wherein operators to which 1 piece of internet of things equipment belongs are operators A, operators to which 1 piece of internet of things equipment belongs are operators B, and operators to which 2 pieces of internet of things equipment belong are operators C. The service grade information of the internet of things equipment belonging to the operator A is scored as 100 points, and the internet of things equipment management platform can determine that scoring information of the operator A in the grid is 100 points; the service grade information of the Internet of things equipment belonging to the operator B is scored as 80 points, and the Internet of things equipment management platform can determine that the scoring information of the operator B in the grid is 80 points; the service grade information scores of 2 pieces of internet of things equipment belonging to the operator C are respectively 80 and 70, and the internet of things equipment management platform can determine that the scoring information of the operator C in the grid is the average of 80 and 70 and 75. The operator duty ratio information of the grid is the duty ratio of the number of the internet of things devices managed by each operator in the grid in the number of all the internet of things devices in the grid.

The internet of things device management platform may determine, based on the operator evaluation information of each grid in the M grids, operator suggestion information corresponding to the designated area, which may specifically be: the method comprises the steps that the equipment management platform of the Internet of things respectively determines the number of grids with highest scoring information of all operators in M grids, and the equipment management platform of the Internet of things determines the corresponding operators with the highest scoring information in the M grids as operator suggestion information corresponding to a designated area. For example, the value of M is 4, that is, there are 4 grids in the designated area, the number of grids with the highest scoring information of the operator a among the 4 grids is 2, the number of grids with the highest scoring information of the operator B is 1, and the number of grids with the highest scoring information of the operator C is 1. At this time, the grid number with the highest scoring information of the operator a is the largest, and the internet of things device management platform determines the operator suggestion information corresponding to the designated area as the operator a. The number of grids with the highest scoring information of a plurality of operators is the largest and the same in M grids, and the internet of things equipment management platform can determine the operator suggestion information corresponding to the designated area as the plurality of operators. For example, the value of M is 5, that is, there are 5 grids in the designated area, the number of grids with the highest scoring information of the operator a among the 5 grids is 2, the number of grids with the highest scoring information of the operator B is 2, and the number of grids with the highest scoring information of the operator C is 1. At this time, the number of grids with the highest scoring information of the operator a and the number of grids with the highest scoring information of the operator B are the same and the highest, and the internet of things device management platform determines the operator suggestion information corresponding to the designated area as the operator a and the operator B.

In this way, the internet of things device management platform can recommend operators to the internet of things device based on the operator suggestion information, and is beneficial to improving the use experience of users on the internet of things device.

Referring to fig. 11, fig. 11 is a schematic structural diagram of an apparatus for managing devices of the internet of things according to an embodiment of the present application. The internet of things device management apparatus described in the embodiments of the present application includes:

a communication unit 1101, configured to receive report information from a first internet of things device;

a processing unit 1102, configured to determine a first grid to which the first internet of things device belongs in a reference map; based on the reported information of the first Internet of things equipment, determining the network grade information of the first Internet of things equipment and the service grade information of the first Internet of things equipment;

the display unit 1103 is configured to respond to the received query instruction for the first internet of things, and output, on a display interface of the reference map, a first display area associated with the first grid, where the first display area is configured to display monitoring information of the first internet of things device, and the monitoring information of the first internet of things device includes identification information of the first internet of things device, operator information of the first internet of things device, network level information of the first internet of things device, and service level information of the first internet of things device.

In an embodiment, the communication unit 1101 is specifically configured to: and acquiring network grade information of second internet of things equipment and service grade information of the second internet of things equipment in the first grid, wherein the second internet of things equipment is the internet of things equipment except the first internet of things equipment in the first grid.

In an embodiment, the processing unit 1102 is specifically configured to: and determining monitoring information of the first grid based on the network grade information of the first Internet of things equipment, the service grade information of the first Internet of things equipment, the network grade information of the second Internet of things equipment and the service grade information of the second Internet of things equipment, wherein the monitoring information of the first grid comprises position information of the first grid, operator information of the first grid, the network grade information of the first grid and the service grade information of the first grid.

In an embodiment, the display unit 1103 is specifically configured to: and responding to the received query instruction for the first grid, and outputting a second display area associated with the first grid on the display interface, wherein the second display area is used for displaying the monitoring information of the first grid.

In an embodiment, the processing unit 1102 is specifically configured to: responding to a received query instruction aiming at a specified area in a specified time period, and acquiring network grade information of each grid in M grids corresponding to the specified area in the specified time period; m is an integer greater than or equal to 1; determining display colors corresponding to the grids in the M grids based on the network grade information of the grids in the M grids, and displaying the grids in the M grids on the display interface according to the display colors corresponding to the grids in the M grids; n grids are determined from the M grids, and the network grade information of each grid in the N grids meets the associated display condition; n is an integer greater than or equal to 1 and less than M.

In an embodiment, the display unit 1103 is specifically configured to: and outputting a display area associated with each grid in the N grids on the display interface, wherein the display area associated with one grid in the N grids is used for displaying the network grade information of the one grid.

In an embodiment, the display area associated with one grid of the N grids is further used for displaying identification information of K pieces of internet of things equipment in the one grid, and the service level information of the K pieces of internet of things equipment meets an associated display condition, where K is an integer greater than or equal to 1.

In an embodiment, the processing unit 1102 is specifically configured to: determining processing suggestion information and/or early warning information of the K pieces of Internet of things equipment; and outputting corresponding processing suggestion information and/or early warning information to management equipment associated with each Internet of things device in the K Internet of things devices.

In an embodiment, the processing unit 1102 is specifically configured to: determining a first Internet of things equipment list from the Internet of things equipment corresponding to the designated area, wherein service grade information of the Internet of things equipment in the first Internet of things equipment list meets screening conditions; determining a second internet of things device list based on the internet of things devices in the N grids and the first internet of things device list; the internet of things devices in the N grids comprise internet of things devices in the second internet of things device list, and the second internet of things device list is contained in the first internet of things device list; and outputting abnormal prompt information aiming at each Internet of things device in the second Internet of things device list.

In an embodiment, the network level information includes one or more of network coverage level information, network interference level information, and network congestion probability level information.

In an embodiment, the processing unit 1102 is specifically configured to: responding to a received query instruction aiming at a specified area in a specified time period, and acquiring network use efficiency grade information of each grid in M grids corresponding to the specified area in the specified time period; m is an integer greater than or equal to 1; and determining the display color of each grid in the M grids in the display interface based on the network use efficiency grade information of each grid in the M grids.

In an embodiment, the display unit 1103 is specifically configured to: and displaying each grid in the M grids on the display interface according to the display color corresponding to each grid in the M grids.

In an embodiment, the processing unit 1102 is specifically configured to: acquiring operator evaluation information of each grid in the M grids, wherein the operator evaluation information comprises operator scoring information and operator duty ratio information; and determining the operator proposal information corresponding to the designated area based on the operator evaluation information of each grid in the M grids, and outputting the operator proposal information.

It may be understood that the functions of each functional unit of the device management apparatus for the internet of things according to the embodiment of the present application may be specifically implemented according to the device management method for the internet of things in the embodiment of the method, and the specific implementation process may refer to the related description in the embodiment of the device management method for the internet of things, which is not repeated herein.

Referring to fig. 12, fig. 12 is a schematic structural diagram of a computer device according to an embodiment of the present application. The computer device described in the embodiment of the present application includes: a processor 1201, a communication interface 1202 and a memory 1203. The processor 1201, the communication interface 1202 and the memory 1203 may be connected by a bus or other means, and in this embodiment, the connection is exemplified by a bus.

Among them, the processor 1201 (or CPU (Central Processing Unit, central processing unit)) is a computing core and a control core of a computer device, which can parse various instructions in the computer device and process various data of the computer device, for example: the CPU can be used for analyzing a startup and shutdown instruction sent by a user to the computer equipment and controlling the computer equipment to perform startup and shutdown operation; and the following steps: the CPU may transmit various types of interaction data between internal structures of the computer device, and so on. Communication interface 1202 may optionally include a standard wired interface, a wireless interface (e.g., wi-Fi, mobile communication interface, etc.), controlled by processor 1201 for transceiving data. The Memory 1203 (Memory) is a Memory device in the computer device for storing programs and data. It will be appreciated that the memory 1203 herein may include both built-in memory of the computer device and extended memory supported by the computer device. Memory 1203 provides storage space that stores the operating system of the computer device, which may include, but is not limited to: android systems, iOS systems, windows Phone systems, etc., which are not limiting in this application.

In the present embodiment, the processor 1201 performs the following operations by executing executable program code in the memory 1203:

receiving reporting information from first Internet of things equipment, and determining a first grid of the first Internet of things equipment in a reference map;

based on the reported information of the first Internet of things equipment, determining the network grade information of the first Internet of things equipment and the service grade information of the first Internet of things equipment;

responding to the received query instruction for the first Internet of things, and outputting a first display area associated with the first grid on a display interface of the reference map, wherein the first display area is used for displaying monitoring information of the first Internet of things equipment, and the monitoring information of the first Internet of things equipment comprises identification information of the first Internet of things equipment, operator information of the first Internet of things equipment, network grade information of the first Internet of things equipment and service grade information of the first Internet of things equipment.

In one embodiment, the processor 1201 is specifically configured to: acquiring network grade information of second internet of things equipment and service grade information of the second internet of things equipment in the first grid, wherein the second internet of things equipment is the internet of things equipment except the first internet of things equipment in the first grid; determining monitoring information of the first grid based on the network level information of the first internet of things device, the service level information of the first internet of things device, the network level information of the second internet of things device and the service level information of the second internet of things device, wherein the monitoring information of the first grid comprises position information of the first grid, operator information of the first grid, the network level information of the first grid and the service level information of the first grid; and responding to the received query instruction for the first grid, and outputting a second display area associated with the first grid on the display interface, wherein the second display area is used for displaying the monitoring information of the first grid.

In one embodiment, the processor 1201 is specifically configured to: responding to a received query instruction aiming at a specified area in a specified time period, and acquiring network grade information of each grid in M grids corresponding to the specified area in the specified time period; m is an integer greater than or equal to 1; determining display colors corresponding to the grids in the M grids based on the network grade information of the grids in the M grids, and displaying the grids in the M grids on the display interface according to the display colors corresponding to the grids in the M grids; n grids are determined from the M grids, and the network grade information of each grid in the N grids meets the associated display condition; n is an integer greater than or equal to 1 and less than M; and outputting a display area associated with each grid in the N grids on the display interface, wherein the display area associated with one grid in the N grids is used for displaying the network grade information of the one grid.

In one embodiment, the processor 1201 is specifically configured to: determining processing suggestion information and/or early warning information of the K pieces of Internet of things equipment; and outputting corresponding processing suggestion information and/or early warning information to management equipment associated with each Internet of things device in the K Internet of things devices.

In one embodiment, the processor 1201 is specifically configured to: determining a first Internet of things equipment list from the Internet of things equipment corresponding to the designated area, wherein service grade information of the Internet of things equipment in the first Internet of things equipment list meets screening conditions; determining a second internet of things device list based on the internet of things devices in the N grids and the first internet of things device list; the internet of things devices in the N grids comprise internet of things devices in the second internet of things device list, and the second internet of things device list is contained in the first internet of things device list; and outputting abnormal prompt information aiming at each Internet of things device in the second Internet of things device list.

In one embodiment, the processor 1201 is specifically configured to: responding to a received query instruction aiming at a specified area in a specified time period, and acquiring network use efficiency grade information of each grid in M grids corresponding to the specified area in the specified time period; m is an integer greater than or equal to 1; determining the display color of each grid in the M grids in the display interface based on the network use efficiency grade information of each grid in the M grids; and displaying each grid of the M grids on the display interface according to the display color corresponding to each grid of the M grids.

In one embodiment, the processor 1201 is specifically configured to: acquiring operator evaluation information of each grid in the M grids, wherein the operator evaluation information comprises operator scoring information and operator duty ratio information;

and determining the operator proposal information corresponding to the designated area based on the operator evaluation information of each grid in the M grids, and outputting the operator proposal information.

In a specific implementation, the processor 1201, the communication interface 1202, and the memory 1203 described in the embodiments of the present application may execute an implementation manner of a computer device described in the method for managing an internet of things device provided in the embodiments of the present application, or may execute an implementation manner described in the device for managing an internet of things device provided in the embodiments of the present application, which is not described herein again.

The embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium stores instructions, and when the computer readable storage medium runs on a computer, the computer is enabled to realize the method for managing the Internet of things equipment.

Claims

1. An internet of things device management method, comprising:

2. The method of claim 1, wherein the method further comprises:

acquiring network grade information of second internet of things equipment and service grade information of the second internet of things equipment in the first grid, wherein the second internet of things equipment is the internet of things equipment except the first internet of things equipment in the first grid;

determining monitoring information of the first grid based on the network level information of the first internet of things device, the service level information of the first internet of things device, the network level information of the second internet of things device and the service level information of the second internet of things device, wherein the monitoring information of the first grid comprises position information of the first grid, operator information of the first grid, the network level information of the first grid and the service level information of the first grid;

and responding to the received query instruction for the first grid, and outputting a second display area associated with the first grid on the display interface, wherein the second display area is used for displaying the monitoring information of the first grid.

3. The method of claim 1, wherein the method further comprises:

Responding to a received query instruction aiming at a specified area in a specified time period, and acquiring network grade information of each grid in M grids corresponding to the specified area in the specified time period; m is an integer greater than or equal to 1;

determining display colors corresponding to the grids in the M grids based on the network grade information of the grids in the M grids, and displaying the grids in the M grids on the display interface according to the display colors corresponding to the grids in the M grids;

n grids are determined from the M grids, and the network grade information of each grid in the N grids meets the associated display condition; n is an integer greater than or equal to 1 and less than M;

and outputting a display area associated with each grid in the N grids on the display interface, wherein the display area associated with one grid in the N grids is used for displaying the network grade information of the one grid.

4. The method of claim 3, wherein the display area associated with one of the N grids is further used to display identification information of K pieces of internet of things devices in the one grid, and the service level information of the K pieces of internet of things devices satisfies an associated display condition, where K is an integer greater than or equal to 1.

5. The method of claim 4, wherein the method further comprises:

determining processing suggestion information and/or early warning information of the K pieces of Internet of things equipment;

and outputting corresponding processing suggestion information and/or early warning information to management equipment associated with each Internet of things device in the K Internet of things devices.

6. A method as claimed in claim 3, wherein the method further comprises:

determining a first Internet of things equipment list from the Internet of things equipment corresponding to the designated area, wherein service grade information of the Internet of things equipment in the first Internet of things equipment list meets screening conditions;

determining a second internet of things device list based on the internet of things devices in the N grids and the first internet of things device list; the internet of things devices in the N grids comprise internet of things devices in the second internet of things device list, and the second internet of things device list is contained in the first internet of things device list;

and outputting abnormal prompt information aiming at each Internet of things device in the second Internet of things device list.

7. The method of any of claims 1-6, wherein the network level information comprises one or more of network coverage level information, network interference level information, network congestion probability level information.

8. The method of claim 1, wherein the network level information comprises network usage efficiency level information; the method further comprises the steps of:

responding to a received query instruction aiming at a specified area in a specified time period, and acquiring network use efficiency grade information of each grid in M grids corresponding to the specified area in the specified time period; m is an integer greater than or equal to 1;

determining the display color of each grid in the M grids in the display interface based on the network use efficiency grade information of each grid in the M grids; and displaying each grid of the M grids on the display interface according to the display color corresponding to each grid of the M grids.

9. The method of claim 3 or 8, wherein the method further comprises:

acquiring operator evaluation information of each grid in the M grids, wherein the operator evaluation information comprises operator scoring information and operator duty ratio information;

10. An internet of things device management apparatus, the apparatus comprising:

the processing unit is used for determining a first grid of the first Internet of things device in a reference map; based on the reported information of the first Internet of things equipment, determining the network grade information of the first Internet of things equipment and the service grade information of the first Internet of things equipment;

11. A computer device, comprising: the device management system comprises a processor, a communication interface and a memory, wherein the processor, the communication interface and the memory are mutually connected, the memory stores executable program codes, and the processor is used for calling the executable program codes to realize the device management method of the internet of things according to any one of claims 1-9.

12. A computer readable storage medium, wherein computer instructions are stored in the computer readable storage medium, which when run on a computer, cause the computer to implement the internet of things device management method of any one of claims 1-9.