CN115865929A - Equipment safety management method, device and equipment based on Internet of things - Google Patents
Equipment safety management method, device and equipment based on Internet of things Download PDFInfo
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Abstract
The invention relates to the field of equipment management, and discloses an equipment safety management method, device and equipment based on the Internet of things, which are used for improving the safety management efficiency of scenic spot equipment and the accuracy of equipment safety monitoring. The method comprises the following steps: analyzing the channel parameter information to obtain a transmission success rate and a channel load; performing list sorting processing on the plurality of data uploading channels according to the transmission success rate to obtain a success rate sorting table, and performing success rate index mapping on the plurality of data uploading channels according to the success rate sorting table to obtain a success rate evaluation index; performing list sorting processing on the plurality of data uploading channels according to the channel loads to obtain a load sorting table, and performing load index mapping on the plurality of data uploading channels according to the load sorting table to obtain load evaluation indexes; and generating a load balancing scheme according to the success rate evaluation index and the load evaluation index, and transmitting the equipment monitoring data to the cloud monitoring platform according to the load balancing scheme and the plurality of data uploading channels.
Description
Technical Field
The invention relates to the field of equipment management, in particular to an equipment safety management method, device and equipment based on the Internet of things.
Background
With the rapid development of modern society science and technology, the social life of people into which the intelligent cloud monitoring platform has come is provided. The management system of the scenic spot must meet the current and future development requirements in function, and better services are provided for cultural development and citizen leisure.
The existing scenic spot equipment management efficiency is low and the safety is poor, the main reason is that when the existing scheme is used for scenic spot equipment monitoring data transmission, secondary arrangement and sorting are needed, and when data transmission is carried out, the problems of crowding or too high load and the like can occur in a data transmission channel, namely, the data transmission efficiency of the existing scheme is low.
Disclosure of Invention
The invention provides an equipment safety management method, device and equipment based on the Internet of things, which are used for improving the safety management efficiency of scenic spot equipment and the accuracy of equipment safety monitoring.
The invention provides an equipment safety management method based on the Internet of things, which comprises the following steps: establishing communication connection between scenic spot equipment and a preset cloud monitoring platform, uploading equipment monitoring data of a preset monitoring time period from the scenic spot equipment, and acquiring uploading state information of the scenic spot equipment; matching a plurality of data uploading channels corresponding to the scenic spot equipment according to the uploading state information, and acquiring channel parameter information corresponding to each data uploading channel; analyzing the channel parameter information corresponding to each data uploading channel to obtain the transmission success rate and the channel load of each data uploading channel; performing list sorting processing on the plurality of data uploading channels according to the transmission success rate to obtain a success rate sorting table, and performing success rate index mapping on the plurality of data uploading channels according to the success rate sorting table to obtain a success rate evaluation index of each data uploading channel; performing list sorting processing on the plurality of data uploading channels according to the channel loads to obtain a load sorting table, and performing load index mapping on the plurality of data uploading channels according to the load sorting table to obtain a load evaluation index of each data uploading channel; and generating a load balancing scheme of the plurality of data uploading channels according to the success rate evaluation index and the load evaluation index, and transmitting the equipment monitoring data to the cloud monitoring platform according to the load balancing scheme and the plurality of data uploading channels.
With reference to the first aspect, in a first implementation manner of the first aspect of the present invention, the establishing a communication connection between a scenic spot device and a preset cloud monitoring platform, uploading device monitoring data of a preset monitoring time period from the scenic spot device, and acquiring upload state information of the scenic spot device includes: establishing communication connection between the scenic spot equipment and a preset cloud monitoring platform, and acquiring a communication connection state; when the communication connection state is successful, acquiring a preset monitoring time period corresponding to the scenic spot equipment and equipment monitoring data in the preset monitoring time period; and monitoring the uploading state of the scenic spot equipment, and acquiring the uploading state information of the scenic spot equipment.
With reference to the first aspect, in a second implementation manner of the first aspect of the present invention, the matching, according to the upload state information, a plurality of data upload channels corresponding to the scenic spot device, and acquiring channel parameter information corresponding to each data upload channel includes: performing data uploading channel matching on the scenic spot equipment based on the uploading state information, and traversing a plurality of data uploading channels corresponding to the scenic spot equipment; acquiring the current load state and the uploading data volume of each data uploading channel; and generating channel parameter information corresponding to each data uploading channel according to the current load state and the uploading data volume.
With reference to the first aspect, in a third implementation manner of the first aspect of the present invention, the performing parameter information analysis on the channel parameter information corresponding to each data upload channel to obtain a transmission success rate and a channel load of each data upload channel includes: analyzing the channel parameter information corresponding to each data uploading channel to obtain a transmission path; analyzing the path node information of the transmission path to obtain a transmission node corresponding to the transmission path; acquiring an initial success rate corresponding to the transmission node, and performing weighted average calculation on the initial success rate corresponding to the transmission node to generate a transmission success rate of each data uploading channel; and acquiring an initial load corresponding to the transmission node, and performing normalization operation on the initial success rate corresponding to the transmission node to generate a channel load of each data uploading channel.
With reference to the first aspect, in a fourth implementation manner of the first aspect of the present invention, the performing list sorting processing on the multiple data upload channels according to the transmission success rate to obtain a success rate sorting table, and performing success rate index mapping on the multiple data upload channels according to the success rate sorting table to obtain a success rate evaluation index of each data upload channel includes: performing list sorting processing on the plurality of data uploading channels according to the transmission success rate to obtain a success rate sorting table; acquiring a success rate index mapping relation table between the plurality of data uploading channels and preset success rate indexes; and performing success rate index mapping on the plurality of data uploading channels according to the success rate index mapping relation table to obtain a success rate evaluation index of each data uploading channel.
With reference to the first aspect, in a fifth implementation manner of the first aspect of the present invention, the generating a load balancing scheme for the multiple data upload channels according to the success rate evaluation index and the load evaluation index, and transmitting the device monitoring data to the cloud monitoring platform according to the load balancing scheme and the multiple data upload channels includes: acquiring success rate weight, and performing weighted operation on the success rate evaluation index according to the success rate weight to obtain success rate weighted data; acquiring load weight, and performing weighting operation on the load evaluation index according to the load weight to obtain load weighting data; selecting a plurality of target uploading channels from the plurality of data uploading channels according to the success rate weighted data and the load weighted data; constructing a load balancing scheme of the plurality of target uploading channels; and transmitting the equipment monitoring data to the cloud monitoring platform through the plurality of target uploading channels and the load balancing scheme.
With reference to the first aspect, in a sixth implementation manner of the first aspect of the present invention, the transmitting the device monitoring data to the cloud monitoring platform through the multiple target upload channels and the load balancing scheme includes: uploading task allocation is carried out on the plurality of target uploading channels according to the load balancing scheme, and a target uploading task corresponding to each target uploading channel is obtained; judging whether the current load of each target uploading channel exceeds the target uploading task or not; if yes, selecting a new target uploading channel from the plurality of data uploading channels to execute a data uploading task; and transmitting the equipment monitoring data to the cloud monitoring platform.
The invention provides a device security management device based on the internet of things, which comprises:
the system comprises an acquisition module, a monitoring module and a monitoring module, wherein the acquisition module is used for establishing communication connection between scenic spot equipment and a preset cloud monitoring platform, uploading equipment monitoring data of a preset monitoring time period from the scenic spot equipment and acquiring uploading state information of the scenic spot equipment;
the matching module is used for matching a plurality of data uploading channels corresponding to the scenic spot equipment according to the uploading state information and acquiring channel parameter information corresponding to each data uploading channel;
the analysis module is used for analyzing the parameter information of the channel corresponding to each data uploading channel to obtain the transmission success rate and the channel load of each data uploading channel;
the processing module is used for carrying out list sorting processing on the plurality of data uploading channels according to the transmission success rate to obtain a success rate sorting table, and carrying out success rate index mapping on the plurality of data uploading channels according to the success rate sorting table to obtain a success rate evaluation index of each data uploading channel;
the mapping module is used for carrying out list sorting processing on the plurality of data uploading channels according to the channel loads to obtain a load sorting table, and carrying out load index mapping on the plurality of data uploading channels according to the load sorting table to obtain a load evaluation index of each data uploading channel;
and the transmission module is used for generating a load balancing scheme of the plurality of data uploading channels according to the success rate evaluation index and the load evaluation index, and transmitting the equipment monitoring data to the cloud monitoring platform according to the load balancing scheme and the plurality of data uploading channels.
With reference to the second aspect, in a first implementation manner of the second aspect of the present invention, the obtaining module is specifically configured to: establishing communication connection between the scenic spot equipment and a preset cloud monitoring platform, and acquiring a communication connection state; when the communication connection state is successful, acquiring a preset monitoring time period corresponding to the scenic spot equipment and equipment monitoring data in the preset monitoring time period; and monitoring the uploading state of the scenic spot equipment, and acquiring the uploading state information of the scenic spot equipment.
With reference to the second aspect, in a second implementation manner of the second aspect of the present invention, the matching module is specifically configured to: performing data uploading channel matching on the scenic spot equipment based on the uploading state information, and traversing a plurality of data uploading channels corresponding to the scenic spot equipment; acquiring the current load state and the uploading data volume of each data uploading channel; and generating channel parameter information corresponding to each data uploading channel according to the current load state and the uploading data volume.
With reference to the second aspect, in a third implementation manner of the second aspect of the present invention, the parsing module is specifically configured to: analyzing the channel parameter information corresponding to each data uploading channel to obtain a transmission path; analyzing the path node information of the transmission path to obtain a transmission node corresponding to the transmission path; acquiring an initial success rate corresponding to the transmission node, and performing weighted average calculation on the initial success rate corresponding to the transmission node to generate a transmission success rate of each data uploading channel; and acquiring an initial load corresponding to the transmission node, and performing normalization operation on the initial success rate corresponding to the transmission node to generate a channel load of each data uploading channel.
With reference to the second aspect, in a fourth implementation manner of the second aspect of the present invention, the processing module is specifically configured to: performing list sorting processing on the plurality of data uploading channels according to the transmission success rate to obtain a success rate sorting table; acquiring a success rate index mapping relation table between the plurality of data uploading channels and preset success rate indexes; and performing success rate index mapping on the plurality of data uploading channels according to the success rate index mapping relation table to obtain a success rate evaluation index of each data uploading channel.
With reference to the second aspect, in a fifth embodiment of the second aspect of the present invention, the transmission module further includes: the acquisition unit is used for acquiring the success rate weight and carrying out weighting operation on the success rate evaluation index according to the success rate weight to obtain success rate weighted data; the operation unit is used for acquiring load weight and performing weighted operation on the load evaluation index according to the load weight to obtain load weighted data; the selecting unit is used for selecting a plurality of target uploading channels from the plurality of data uploading channels according to the success rate weighting data and the load weighting data; the building unit is used for building a load balancing scheme of the plurality of target uploading channels; and the transmission unit is used for transmitting the equipment monitoring data to the cloud monitoring platform through the target uploading channels and the load balancing scheme.
With reference to the second aspect, in a sixth implementation manner of the second aspect of the present invention, the transmission unit is specifically configured to: uploading task allocation is carried out on the plurality of target uploading channels according to the load balancing scheme, and a target uploading task corresponding to each target uploading channel is obtained; judging whether the current load of each target uploading channel exceeds the target uploading task or not; if yes, selecting a new target uploading channel from the plurality of data uploading channels to execute a data uploading task; and transmitting the equipment monitoring data to the cloud monitoring platform.
The third aspect of the present invention provides an equipment security management device based on the internet of things, including: a memory and at least one processor, the memory having instructions stored therein; the at least one processor invokes the instructions in the memory to cause the internet of things based device security management device to perform the internet of things based device security management method described above.
A fourth aspect of the present invention provides a computer-readable storage medium having stored therein instructions, which, when run on a computer, cause the computer to execute the above-mentioned method for security management of an internet-of-things-based device.
In the technical scheme provided by the invention, parameter information analysis is carried out on channel parameter information to obtain the transmission success rate and the channel load; performing list sorting processing on the plurality of data uploading channels according to the transmission success rate to obtain a success rate sorting table, and performing success rate index mapping on the plurality of data uploading channels according to the success rate sorting table to obtain a success rate evaluation index; performing list sorting processing on the plurality of data uploading channels according to the channel loads to obtain a load sorting table, and performing load index mapping on the plurality of data uploading channels according to the load sorting table to obtain load evaluation indexes; according to the method and the system, a load balancing scheme is generated according to the success rate evaluation index and the load evaluation index, and the equipment monitoring data is transmitted to the cloud monitoring platform according to the load balancing scheme and the multiple data uploading channels.
Drawings
Fig. 1 is a schematic diagram of an embodiment of a device security management method based on the internet of things in the embodiment of the present invention;
FIG. 2 is a flow chart of matching data upload channels in an embodiment of the present invention;
FIG. 3 is a flowchart illustrating parameter information parsing according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating a success rate indicator mapping according to an embodiment of the present invention;
fig. 5 is a schematic diagram of an embodiment of an apparatus for security management of a device based on the internet of things according to an embodiment of the present invention;
fig. 6 is a schematic diagram of another embodiment of an apparatus for security management based on the internet of things according to an embodiment of the present invention;
fig. 7 is a schematic diagram of an embodiment of a device security management device based on the internet of things in the embodiment of the present invention.
Detailed Description
The embodiment of the invention provides an equipment safety management method, device and equipment based on the Internet of things, which are used for improving the safety management efficiency of scenic spot equipment and the accuracy of equipment safety monitoring. The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," or "having," and any variations thereof, are intended to cover non-exclusive inclusions, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
For convenience of understanding, a specific flow of the embodiment of the present invention is described below, and referring to fig. 1, an embodiment of the method for device security management based on the internet of things according to the embodiment of the present invention includes:
s101, establishing communication connection between scenic spot equipment and a preset cloud monitoring platform, uploading equipment monitoring data of a preset monitoring time period from the scenic spot equipment, and acquiring uploading state information of the scenic spot equipment;
it can be understood that the execution subject of the present invention may be an apparatus security management device based on the internet of things, and may also be a terminal or a server, which is not limited herein. The embodiment of the present invention is described by taking a server as an execution subject.
Specifically, the server sends a connection establishment request to the scenic spot equipment and the preset cloud monitoring platform, the connection establishment request carries a communication connection protocol, the server establishes communication connection between the scenic spot equipment and the preset cloud monitoring platform according to the communication connection protocol carried by the connection establishment request, the server selects equipment monitoring data in a preset monitoring time period from the scenic spot equipment, and finally the server obtains uploading state information of the scenic spot equipment.
S102, matching a plurality of data uploading channels corresponding to the scenic spot equipment according to the uploading state information, and acquiring channel parameter information corresponding to each data uploading channel;
it should be noted that the data uploading channel is an information transmission channel, further, the server matches multiple data uploading channels corresponding to the scenic spot device according to the uploading state information, further, after the server determines multiple data uploading channels corresponding to the scenic spot device, the server performs information scanning on the multiple data uploading channels, determines identification information corresponding to each data uploading channel, and finally obtains channel parameter information corresponding to each data uploading channel.
S103, analyzing the channel parameter information corresponding to each data uploading channel to obtain the transmission success rate and the channel load of each data uploading channel;
the server analyzes the parameter information of the channel parameter information corresponding to each data uploading channel, wherein when the server analyzes the parameter information, the server determines the service-related parameters of the channel parameter information and other standard parameter information by acquiring the label information associated with the channel parameter information according to the label information, and then determines the service coverage parameters of the channel parameter information associated with other standard parameter information according to the label frequency of the label information and the type of the channel load to which the label information belongs, so that the transmission success rate and the channel load of each data uploading channel are determined according to the service-related parameters and the service coverage parameters of the channel parameter information and other standard parameter information.
S104, performing list sorting processing on the plurality of data uploading channels according to the transmission success rate to obtain a success rate sorting table, and performing success rate index mapping on the plurality of data uploading channels according to the success rate sorting table to obtain a success rate evaluation index of each data uploading channel;
specifically, the plurality of data uploading channels are subjected to list sorting processing according to the transmission success rate to obtain a success rate sorting table, and further, the server performs success rate index mapping on the plurality of data uploading channels according to the success rate sorting table, wherein the server finds a mapping table or a mapping formula matched with the success rate index, and performs success rate index mapping on the plurality of data uploading channels according to the mapping table or the mapping formula to obtain a success rate evaluation index of each data uploading channel.
S105, performing list sorting processing on the plurality of data uploading channels according to the channel loads to obtain a load sorting table, and performing load index mapping on the plurality of data uploading channels according to the load sorting table to obtain a load evaluation index of each data uploading channel;
specifically, the method includes the steps of carrying out list sorting processing on a plurality of data uploading channels according to channel loads to obtain a load sorting table, further, carrying out load index mapping on the plurality of data uploading channels according to the load sorting table by a server, wherein when the server carries out load index mapping, the server carries out preprocessing on the load sorting table to obtain a processed load sorting table, mapping the load sorting table based on a cluster analysis technology, mapping the load sorting table into information directly reflecting physical layer parameters, establishing a mathematical model corresponding to distribution of the load sorting table, and carrying out correlation mapping to obtain a load evaluation index of each data uploading channel.
And S106, generating a load balancing scheme of the plurality of data uploading channels according to the success rate evaluation index and the load evaluation index, and transmitting the equipment monitoring data to the cloud monitoring platform according to the load balancing scheme and the plurality of data uploading channels.
Specifically, load balancing schemes of a plurality of data uploading channels are generated according to success rate evaluation indexes and load evaluation indexes, wherein the server respectively determines preset index parameters corresponding to each resource load balancing scheme, the index parameters comprise load evaluation indexes and success rate evaluation indexes, further, the server generates load balancing schemes of the plurality of data uploading channels according to the index parameters, and transmits equipment monitoring data to the cloud monitoring platform according to the load balancing schemes and the plurality of data uploading channels.
In the embodiment of the invention, parameter information analysis is carried out on the channel parameter information to obtain the transmission success rate and the channel load; performing list sorting processing on the plurality of data uploading channels according to the transmission success rate to obtain a success rate sorting table, and performing success rate index mapping on the plurality of data uploading channels according to the success rate sorting table to obtain a success rate evaluation index; performing list sorting processing on the plurality of data uploading channels according to the channel loads to obtain a load sorting table, and performing load index mapping on the plurality of data uploading channels according to the load sorting table to obtain load evaluation indexes; according to the method and the system, a load balancing scheme is generated according to the success rate evaluation index and the load evaluation index, and the equipment monitoring data is transmitted to the cloud monitoring platform according to the load balancing scheme and the multiple data uploading channels.
In a specific embodiment, the process of executing step S101 may specifically include the following steps:
(1) Establishing communication connection between the scenic spot equipment and a preset cloud monitoring platform, and acquiring a communication connection state;
(2) When the communication connection state is successful, acquiring a preset monitoring time period corresponding to the scenic spot equipment and equipment monitoring data in the preset monitoring time period;
(3) And monitoring the uploading state of the scenic spot equipment, and acquiring the uploading state information of the scenic spot equipment.
Specifically, the server establishes communication connection between scenic spot equipment and a preset cloud monitoring platform, acquires a communication connection state, and when the communication connection state is successful, acquires a preset monitoring time period corresponding to the scenic spot equipment and equipment monitoring data in the preset monitoring time period, wherein the equipment monitoring data of the scenic spot equipment are acquired, and then the server performs upload state detection on the scenic spot equipment.
In a specific embodiment, as shown in fig. 2, the process of executing step S102 may specifically include the following steps:
s201, performing data uploading channel matching on the scenic spot equipment based on the uploading state information, and traversing a plurality of data uploading channels corresponding to the scenic spot equipment;
s202, acquiring the current load state and the uploading data volume of each data uploading channel;
and S203, generating channel parameter information corresponding to each data uploading channel according to the current load state and the uploading data amount.
Specifically, the server performs data uploading channel matching on the scenic spot equipment through the uploading state information, and traverses a plurality of data uploading channels corresponding to the scenic spot equipment, and further,
the server obtains the current load state and the uploaded data volume of each data uploading channel, calls the channel load parameters of each data uploading channel, further determines the current load state and the uploaded data volume of each data uploading channel according to the channel load parameters corresponding to each data uploading channel, and further generates channel parameter information corresponding to each data uploading channel according to the current load state and the uploaded data volume.
In a specific embodiment, as shown in fig. 3, the process of executing step S103 may specifically include the following steps:
s301, analyzing the channel parameter information corresponding to each data uploading channel to obtain a transmission path;
s302, analyzing the path node information of the transmission path to obtain a transmission node corresponding to the transmission path;
s303, acquiring an initial success rate corresponding to the transmission node, and performing weighted average calculation on the initial success rate corresponding to the transmission node to generate a transmission success rate of each data uploading channel;
s304, acquiring an initial load corresponding to the transmission node, and performing normalization operation on the initial success rate corresponding to the transmission node to generate a channel load of each data uploading channel.
Specifically, the server performs parameter information analysis on channel parameter information corresponding to each data uploading channel to obtain a transmission path, it is noted that, when performing parameter information analysis, the server obtains the parameter information of the channel parameter information of each data uploading channel, performs parameter information analysis according to a pre-established parameter analysis rule to obtain a transmission path, further, the server performs path node information analysis on the transmission path to obtain a transmission node corresponding to the transmission path, wherein the server obtains a plurality of path node information, wherein the ith path node information is used for indicating a total load of all shortest paths from the path node to a target node, and passing through a total load of all shortest paths of an ith adjacent node of the path node to obtain a transmission node corresponding to the transmission path, and further, the server obtains an initial success rate corresponding to the transmission node, performs weighted average calculation on the initial success rate corresponding to the transmission node to generate a transmission success rate of each data uploading channel, further obtains an initial load corresponding to the transmission node, and performs normalization operation on the initial success rate corresponding to the transmission node to generate a channel load of each data uploading channel.
In a specific embodiment, as shown in fig. 4, the process of executing step S104 may specifically include the following steps:
s401, performing list sorting processing on a plurality of data uploading channels according to the transmission success rate to obtain a success rate sorting table;
s402, acquiring a success rate index mapping relation table between a plurality of data uploading channels and preset success rate indexes;
s403, performing success rate index mapping on the plurality of data uploading channels according to the success rate index mapping relation table to obtain a success rate evaluation index of each data uploading channel.
Specifically, the server performs list sorting processing on a plurality of data uploading channels according to the transmission success rate to obtain a success rate sorting table, and then the server obtains a success rate index mapping relation table between the plurality of data uploading channels and preset success rate indexes, wherein the server selects the success rate of the preset success rate indexes and the plurality of data uploading channels needing mapping, establishes mapping conditions, extracts attributes of original data based on the preset success rate indexes, packages the data into data objects corresponding to the success rates of the plurality of data uploading channels based on the mapping conditions, establishes the mapping relation table based on the incidence relation between the preset success rate indexes in the original data and the success rates of the plurality of data uploading channels in the data objects, and performs success rate index mapping on the plurality of data uploading channels according to the success rate index mapping relation table to obtain success rate evaluation indexes of each data uploading channel.
In a specific embodiment, the process of executing step S106 may specifically include the following steps:
(1) Acquiring success rate weight, and performing weighting operation on the success rate evaluation indexes according to the success rate weight to obtain success rate weighted data;
(2) Acquiring load weight, and performing weighted operation on the load evaluation index according to the load weight to obtain load weighted data;
(3) Selecting a plurality of target uploading channels from the plurality of data uploading channels according to the success rate weighted data and the load weighted data;
(4) Constructing a load balancing scheme of a plurality of target uploading channels;
(5) And transmitting the equipment monitoring data to the cloud monitoring platform through a plurality of target uploading channels and a load balancing scheme.
Specifically, the server obtains a success rate weight, performs weighted operation on the success rate evaluation indexes according to the success rate weight to obtain success rate weighted data, further obtains a load weight, performs weighted operation on the load evaluation indexes according to the load weight to obtain load weighted data, adjusts the load data according to the load weighted data, performs weighted operation on the load evaluation indexes according to the load weight to obtain load weighted data, selects a plurality of target uploading channels from the plurality of data uploading channels according to the success rate weighted data and the load weighted data to construct a load balancing scheme of the plurality of target uploading channels, and transmits the equipment monitoring data to the cloud monitoring platform through the plurality of target uploading channels and the load balancing scheme.
In a specific embodiment, the process of transmitting the device monitoring data to the cloud monitoring platform through the multiple target upload channels and the load balancing scheme in the executing step may specifically include the following steps:
(1) Uploading task allocation is carried out on a plurality of target uploading channels according to the load balancing scheme, and a target uploading task corresponding to each target uploading channel is obtained;
(2) Judging whether the current load of each target uploading channel exceeds the target uploading task or not;
(3) If yes, selecting a new target uploading channel from the plurality of data uploading channels to execute a data uploading task;
(4) And transmitting the equipment monitoring data to the cloud monitoring platform.
Specifically, the server performs uploading task allocation on a plurality of target uploading channels according to a load balancing scheme to obtain a target uploading task corresponding to each target uploading channel, it should be noted that when the uploading task allocation is performed, the server determines the uploading task corresponding to each target uploading channel according to the load balancing scheme, further, the server determines the target uploading task corresponding to each target uploading channel, and then the server determines whether the current load of each target uploading channel exceeds the target uploading task, if so, a new target uploading channel is selected from the plurality of data uploading channels to execute the data uploading task, and the device monitoring data is transmitted to the cloud monitoring platform.
In the above, the method for managing the device security based on the internet of things in the embodiment of the present invention is described, and in the following, referring to fig. 5, the device security management apparatus based on the internet of things in the embodiment of the present invention includes:
an obtaining module 501, configured to establish communication connection between a scenic spot device and a preset cloud monitoring platform, upload device monitoring data of a preset monitoring time period from the scenic spot device, and obtain upload state information of the scenic spot device;
a matching module 502, configured to match multiple data upload channels corresponding to the scenic spot device according to the upload state information, and obtain channel parameter information corresponding to each data upload channel;
the analysis module 503 is configured to perform parameter information analysis on the channel parameter information corresponding to each data upload channel, so as to obtain a transmission success rate and a channel load of each data upload channel;
a processing module 504, configured to perform list sorting processing on the multiple data uploading channels according to the transmission success rate to obtain a success rate sorting table, and perform success rate index mapping on the multiple data uploading channels according to the success rate sorting table to obtain a success rate evaluation index of each data uploading channel;
the mapping module 505 is configured to perform list sorting processing on the multiple data upload channels according to the channel loads to obtain a load sorting table, and perform load index mapping on the multiple data upload channels according to the load sorting table to obtain a load evaluation index of each data upload channel;
a transmission module 506, configured to generate a load balancing scheme for the multiple data upload channels according to the success rate evaluation index and the load evaluation index, and transmit the device monitoring data to the cloud monitoring platform according to the load balancing scheme and the multiple data upload channels.
Analyzing the channel parameter information through the cooperative cooperation of the components to obtain the transmission success rate and the channel load; performing list sorting processing on the plurality of data uploading channels according to the transmission success rate to obtain a success rate sorting table, and performing success rate index mapping on the plurality of data uploading channels according to the success rate sorting table to obtain a success rate evaluation index; performing list sorting processing on the plurality of data uploading channels according to the channel loads to obtain a load sorting table, and performing load index mapping on the plurality of data uploading channels according to the load sorting table to obtain load evaluation indexes; according to the method and the system, a load balancing scheme is generated according to the success rate evaluation index and the load evaluation index, and the equipment monitoring data is transmitted to the cloud monitoring platform according to the load balancing scheme and the multiple data uploading channels.
Referring to fig. 6, another embodiment of the device security management apparatus based on the internet of things according to the embodiment of the present invention includes:
an obtaining module 501, configured to establish communication connection between a scenic spot device and a preset cloud monitoring platform, upload device monitoring data of a preset monitoring time period from the scenic spot device, and obtain upload state information of the scenic spot device;
a matching module 502, configured to match multiple data upload channels corresponding to the scenic spot device according to the upload state information, and obtain channel parameter information corresponding to each data upload channel;
the analysis module 503 is configured to perform parameter information analysis on the channel parameter information corresponding to each data upload channel, so as to obtain a transmission success rate and a channel load of each data upload channel;
a processing module 504, configured to perform list sorting processing on the multiple data uploading channels according to the transmission success rate to obtain a success rate sorting table, and perform success rate index mapping on the multiple data uploading channels according to the success rate sorting table to obtain a success rate evaluation index of each data uploading channel;
the mapping module 505 is configured to perform list sorting processing on the multiple data upload channels according to the channel loads to obtain a load sorting table, and perform load index mapping on the multiple data upload channels according to the load sorting table to obtain a load evaluation index of each data upload channel;
a transmission module 506, configured to generate a load balancing scheme for the multiple data upload channels according to the success rate evaluation index and the load evaluation index, and transmit the device monitoring data to the cloud monitoring platform according to the load balancing scheme and the multiple data upload channels.
Optionally, the obtaining module 501 is specifically configured to: establishing communication connection between the scenic spot equipment and a preset cloud monitoring platform, and acquiring a communication connection state; when the communication connection state is successful, acquiring a preset monitoring time period corresponding to the scenic spot equipment and equipment monitoring data in the preset monitoring time period; and monitoring the uploading state of the scenic spot equipment, and acquiring the uploading state information of the scenic spot equipment.
Optionally, the matching module 502 is specifically configured to: performing data uploading channel matching on the scenic spot equipment based on the uploading state information, and traversing a plurality of data uploading channels corresponding to the scenic spot equipment; acquiring the current load state and the uploading data volume of each data uploading channel; and generating channel parameter information corresponding to each data uploading channel according to the current load state and the uploading data volume.
Optionally, the parsing module 503 is specifically configured to: analyzing the channel parameter information corresponding to each data uploading channel to obtain a transmission path; analyzing the path node information of the transmission path to obtain a transmission node corresponding to the transmission path; acquiring an initial success rate corresponding to the transmission node, and performing weighted average calculation on the initial success rate corresponding to the transmission node to generate a transmission success rate of each data uploading channel; and acquiring an initial load corresponding to the transmission node, and performing normalization operation on the initial success rate corresponding to the transmission node to generate a channel load of each data uploading channel.
Optionally, the processing module 504 is specifically configured to: performing list sorting processing on the plurality of data uploading channels according to the transmission success rate to obtain a success rate sorting table; acquiring a success rate index mapping relation table between the plurality of data uploading channels and preset success rate indexes; and performing success rate index mapping on the plurality of data uploading channels according to the success rate index mapping relation table to obtain a success rate evaluation index of each data uploading channel.
Optionally, the transmission module 506 further includes:
an obtaining unit 5061, configured to obtain a success rate weight, and perform a weighting operation on the success rate evaluation index according to the success rate weight to obtain success rate weighted data;
the operation unit 5062 is configured to obtain a load weight, and perform weighted operation on the load evaluation index according to the load weight to obtain load weighted data;
a selecting unit 5063, configured to select, according to the success rate weighted data and the load weighted data, a plurality of target upload channels from the plurality of data upload channels;
a constructing unit 5064, configured to construct a load balancing scheme for the multiple target upload channels;
a transmitting unit 5065, configured to transmit the device monitoring data to the cloud monitoring platform through the multiple target upload channels and the load balancing scheme.
Optionally, the transmission unit 5065 is specifically configured to: uploading task allocation is carried out on the plurality of target uploading channels according to the load balancing scheme, and a target uploading task corresponding to each target uploading channel is obtained; judging whether the current load of each target uploading channel exceeds the target uploading task or not; if yes, selecting a new target uploading channel from the plurality of data uploading channels to execute a data uploading task; and transmitting the equipment monitoring data to the cloud monitoring platform.
In the embodiment of the invention, parameter information analysis is carried out on the channel parameter information to obtain the transmission success rate and the channel load; performing list sorting processing on the plurality of data uploading channels according to the transmission success rate to obtain a success rate sorting table, and performing success rate index mapping on the plurality of data uploading channels according to the success rate sorting table to obtain a success rate evaluation index; performing list sorting processing on the plurality of data uploading channels according to the channel loads to obtain a load sorting table, and performing load index mapping on the plurality of data uploading channels according to the load sorting table to obtain load evaluation indexes; according to the method and the system, a load balancing scheme is generated according to the success rate evaluation index and the load evaluation index, and the equipment monitoring data is transmitted to the cloud monitoring platform according to the load balancing scheme and the multiple data uploading channels.
Fig. 5 and 6 describe the device security management apparatus based on the internet of things in the embodiment of the present invention in detail from the perspective of the modular functional entity, and the device security management apparatus based on the internet of things in the embodiment of the present invention is described in detail from the perspective of hardware processing.
Fig. 7 is a schematic structural diagram of an internet-of-things-based device security management apparatus 600 according to an embodiment of the present invention, which may generate relatively large differences due to different configurations or performances, and may include one or more processors (CPUs) 610 (e.g., one or more processors) and a memory 620, and one or more storage media 630 (e.g., one or more mass storage devices) storing applications 633 or data 632. Memory 620 and storage medium 630 may be, among other things, transient or persistent storage. The program stored in the storage medium 630 may include one or more modules (not shown), each of which may include a series of instructions operating on the internet-of-things based device security management device 600. Still further, the processor 610 may be configured to communicate with the storage medium 630 to execute a series of instruction operations in the storage medium 630 on the internet-of-things based device security management device 600.
The internet of things based device security management device 600 may also include one or more power supplies 640, one or more wired or wireless network interfaces 650, one or more input-output interfaces 660, and/or one or more operating systems 631, such as Windows server, mac OS X, unix, linux, freeBSD, and so forth. Those skilled in the art will appreciate that the configuration of the internet of things based device security management device shown in fig. 7 does not constitute a limitation of the internet of things based device security management device and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
The invention also provides equipment safety management equipment based on the internet of things, which comprises a memory and a processor, wherein computer readable instructions are stored in the memory, and when being executed by the processor, the computer readable instructions cause the processor to execute the steps of the equipment safety management method based on the internet of things in the embodiments.
The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium, and may also be a volatile computer-readable storage medium, having stored therein instructions, which, when executed on a computer, cause the computer to perform the steps of the method for managing security of an internet-of-things-based device.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, an optical disk, or other various media capable of storing program codes.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. An equipment safety management method based on the Internet of things is characterized by comprising the following steps:
establishing communication connection between scenic spot equipment and a preset cloud monitoring platform, uploading equipment monitoring data of a preset monitoring time period from the scenic spot equipment, and acquiring uploading state information of the scenic spot equipment;
matching a plurality of data uploading channels corresponding to the scenic spot equipment according to the uploading state information, and acquiring channel parameter information corresponding to each data uploading channel;
analyzing the channel parameter information corresponding to each data uploading channel to obtain the transmission success rate and the channel load of each data uploading channel;
performing list sorting processing on the plurality of data uploading channels according to the transmission success rate to obtain a success rate sorting table, and performing success rate index mapping on the plurality of data uploading channels according to the success rate sorting table to obtain a success rate evaluation index of each data uploading channel;
performing list sorting processing on the plurality of data uploading channels according to the channel loads to obtain a load sorting table, and performing load index mapping on the plurality of data uploading channels according to the load sorting table to obtain a load evaluation index of each data uploading channel;
generating a load balancing scheme of the plurality of data uploading channels according to the success rate evaluation index and the load evaluation index, and transmitting the equipment monitoring data to the cloud monitoring platform according to the load balancing scheme and the plurality of data uploading channels.
2. The device security management method based on the internet of things of claim 1, wherein the establishing of the communication connection between the scenic spot device and a preset cloud monitoring platform, uploading device monitoring data of a preset monitoring time period from the scenic spot device, and acquiring uploading status information of the scenic spot device comprises:
establishing communication connection between the scenic spot equipment and a preset cloud monitoring platform, and acquiring a communication connection state;
when the communication connection state is successful, acquiring a preset monitoring time period corresponding to the scenic spot equipment and equipment monitoring data in the preset monitoring time period;
and monitoring the uploading state of the scenic spot equipment, and acquiring the uploading state information of the scenic spot equipment.
3. The internet of things-based device security management method according to claim 1, wherein the matching a plurality of data upload channels corresponding to the scenic spot devices according to the upload state information and obtaining channel parameter information corresponding to each data upload channel includes:
performing data uploading channel matching on the scenic spot equipment based on the uploading state information, and traversing a plurality of data uploading channels corresponding to the scenic spot equipment;
acquiring the current load state and the uploading data volume of each data uploading channel;
and generating channel parameter information corresponding to each data uploading channel according to the current load state and the uploading data volume.
4. The method for equipment security management based on the internet of things according to claim 1, wherein the analyzing the parameter information of the channel parameter information corresponding to each data uploading channel to obtain the transmission success rate and the channel load of each data uploading channel comprises:
analyzing the channel parameter information corresponding to each data uploading channel to obtain a transmission path;
analyzing the path node information of the transmission path to obtain a transmission node corresponding to the transmission path;
acquiring an initial success rate corresponding to the transmission node, and performing weighted average calculation on the initial success rate corresponding to the transmission node to generate a transmission success rate of each data uploading channel;
and acquiring the initial load corresponding to the transmission node, and performing normalization operation on the initial success rate corresponding to the transmission node to generate the channel load of each data uploading channel.
5. The method for managing the security of the device based on the internet of things according to claim 1, wherein the step of performing list sorting processing on the plurality of data uploading channels according to the transmission success rate to obtain a success rate sorting table, and performing success rate index mapping on the plurality of data uploading channels according to the success rate sorting table to obtain a success rate evaluation index of each data uploading channel comprises:
performing list sorting processing on the plurality of data uploading channels according to the transmission success rate to obtain a success rate sorting table;
acquiring a success rate index mapping relation table between the plurality of data uploading channels and preset success rate indexes;
and performing success rate index mapping on the plurality of data uploading channels according to the success rate index mapping relation table to obtain a success rate evaluation index of each data uploading channel.
6. The internet of things-based device security management method according to claim 1, wherein the generating a load balancing scheme of the plurality of data uploading channels according to the success rate evaluation index and the load evaluation index, and transmitting the device monitoring data to the cloud monitoring platform according to the load balancing scheme and the plurality of data uploading channels comprises:
acquiring success rate weight, and performing weighting operation on the success rate evaluation index according to the success rate weight to obtain success rate weighted data;
acquiring load weight, and performing weighting operation on the load evaluation index according to the load weight to obtain load weighting data;
selecting a plurality of target uploading channels from the plurality of data uploading channels according to the success rate weighted data and the load weighted data;
constructing a load balancing scheme of the plurality of target uploading channels;
and transmitting the equipment monitoring data to the cloud monitoring platform through the plurality of target uploading channels and the load balancing scheme.
7. The internet of things-based device security management method of claim 6, wherein the transmitting the device monitoring data to the cloud monitoring platform through the plurality of target upload channels and the load balancing scheme comprises:
uploading task allocation is carried out on the plurality of target uploading channels according to the load balancing scheme, and a target uploading task corresponding to each target uploading channel is obtained;
judging whether the current load of each target uploading channel exceeds the target uploading task or not;
if yes, selecting a new target uploading channel from the plurality of data uploading channels to execute a data uploading task;
and transmitting the equipment monitoring data to the cloud monitoring platform.
8. The utility model provides an equipment safety management device based on thing networking which characterized in that, equipment safety management device based on thing networking includes:
the system comprises an acquisition module, a monitoring module and a monitoring module, wherein the acquisition module is used for establishing communication connection between scenic spot equipment and a preset cloud monitoring platform, uploading equipment monitoring data of a preset monitoring time period from the scenic spot equipment and acquiring uploading state information of the scenic spot equipment;
the matching module is used for matching a plurality of data uploading channels corresponding to the scenic spot equipment according to the uploading state information and acquiring channel parameter information corresponding to each data uploading channel;
the analysis module is used for analyzing the parameter information of the channel corresponding to each data uploading channel to obtain the transmission success rate and the channel load of each data uploading channel;
the processing module is used for carrying out list sorting processing on the plurality of data uploading channels according to the transmission success rate to obtain a success rate sorting table, and carrying out success rate index mapping on the plurality of data uploading channels according to the success rate sorting table to obtain a success rate evaluation index of each data uploading channel;
the mapping module is used for carrying out list sorting processing on the plurality of data uploading channels according to the channel loads to obtain a load sorting table, and carrying out load index mapping on the plurality of data uploading channels according to the load sorting table to obtain a load evaluation index of each data uploading channel;
and the transmission module is used for generating a load balancing scheme of the plurality of data uploading channels according to the success rate evaluation index and the load evaluation index, and transmitting the equipment monitoring data to the cloud monitoring platform according to the load balancing scheme and the plurality of data uploading channels.
9. The utility model provides an equipment safety control equipment based on thing networking which characterized in that, equipment safety control equipment based on thing networking includes: a memory and at least one processor, the memory having instructions stored therein;
the at least one processor invokes the instructions in the memory to cause the internet of things based device security management device to perform the internet of things based device security management method of any of claims 1-7.
10. A computer-readable storage medium having instructions stored thereon, wherein the instructions, when executed by a processor, implement the method for security management of internet of things-based devices as claimed in any one of claims 1-7.
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