CN115865929B - Equipment security management method, device and equipment based on Internet of things - Google Patents
Equipment security 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: carrying out parameter information analysis on the channel parameter information to obtain a transmission success rate and a channel load; list sorting processing is carried out on the plurality of data uploading channels according to the transmission success rate to obtain a success rate sorting table, and success rate index mapping is carried out on the plurality of data uploading channels according to the success rate sorting table to obtain success rate evaluation indexes; list sorting processing is carried out on a plurality of data uploading channels according to channel loads to obtain a load sorting table, and load index mapping is carried out 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 present invention relates to the field of device management, and in particular, to a device security management method, apparatus and device based on the internet of things.
Background
With the rapid development of modern society science and technology, people who have gone into by an intelligent cloud monitoring platform have social lives. The scenic spot management system must functionally meet the current and future development demands, and provide better services for cultural development and leisure of citizens.
The existing scenic spot equipment at present is low in management efficiency and poor in safety, and the main reason is that when the existing scheme is used for monitoring data transmission of scenic spot equipment, secondary arrangement and sequencing are needed, and when the data is transmitted, the data transmission channel is crowded or is overloaded and the like, 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 first aspect of the invention provides an equipment security 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 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; carrying out parameter information analysis on channel parameter information corresponding to each data uploading channel to obtain the transmission success rate and the channel load of each data uploading channel; list sorting processing is carried out on the plurality of data uploading channels according to the transmission success rate to obtain a success rate sorting table, and success rate index mapping is carried out on the plurality of data uploading channels according to the success rate sorting table to obtain success rate evaluation indexes of each data uploading channel; list sorting processing is carried out on the plurality of data uploading channels according to the channel load to obtain a load sorting table, and load index mapping is carried out on the plurality of data uploading channels according to the load sorting table to obtain load evaluation indexes 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 the scenic spot device and a preset cloud monitoring platform, uploading device monitoring data of a preset monitoring period from the scenic spot device, and obtaining uploading state information of the scenic spot device includes: establishing communication connection between 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 period corresponding to the scenic spot equipment and equipment monitoring data in the preset monitoring 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 the plurality of data upload channels corresponding to the scenic spot device according to the upload status information, and obtaining channel parameter information corresponding to each data upload channel, includes: based on the uploading state information, carrying out data uploading channel matching on the scenic spot equipment, and traversing a plurality of data uploading channels corresponding to the scenic spot equipment; acquiring the current load state and the uploading data quantity 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 quantity.
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 channel parameter information corresponding to each data uploading channel to obtain a transmission success rate and a channel load of each data uploading channel includes: carrying out parameter information analysis on channel parameter information corresponding to each data uploading channel to obtain a transmission path; analyzing 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 carrying out 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 obtaining the initial load corresponding to the transmission node, and carrying out normalization operation on the initial success rate corresponding to the transmission node to generate the 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 plurality of data upload 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 upload channels according to the success rate sorting table to obtain a success rate evaluation index of each data upload channel, includes: list sorting processing is carried out on the plurality of data uploading channels according to the transmission success rate, so that a success rate sorting table is obtained; acquiring a success rate index mapping relation table between the plurality of data uploading channels and a preset success rate index; and carrying out 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.
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 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 includes: obtaining success rate weights, and carrying out weighting operation on the success rate evaluation indexes according to the success rate weights to obtain success rate weighted data; acquiring load weights, and carrying out weighting operation on the load evaluation indexes according to the load weights to obtain load weighted data; 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; 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, by the multiple target upload channels and the load balancing scheme, the device monitoring data to the cloud monitoring platform includes: performing uploading task allocation on the plurality of target uploading channels according to the load balancing scheme to obtain target uploading tasks corresponding to each target uploading channel; 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 second aspect of the present invention provides an apparatus security management device based on the internet of things, where the apparatus security management device based on the internet of things includes:
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 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 carrying out parameter information analysis on 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 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 success rate evaluation indexes 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 load 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 acquiring module is specifically configured to: establishing communication connection between 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 period corresponding to the scenic spot equipment and equipment monitoring data in the preset monitoring 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: based on the uploading state information, carrying out data uploading channel matching on the scenic spot equipment, and traversing a plurality of data uploading channels corresponding to the scenic spot equipment; acquiring the current load state and the uploading data quantity 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 quantity.
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: carrying out parameter information analysis on channel parameter information corresponding to each data uploading channel to obtain a transmission path; analyzing 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 carrying out 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 obtaining the initial load corresponding to the transmission node, and carrying out normalization operation on the initial success rate corresponding to the transmission node to generate the 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: list sorting processing is carried out on the plurality of data uploading channels according to the transmission success rate, so that a success rate sorting table is obtained; acquiring a success rate index mapping relation table between the plurality of data uploading channels and a preset success rate index; and carrying out 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.
With reference to the second aspect, in a fifth implementation manner 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 computing unit is used for acquiring the load weight, and carrying out weighting operation on the load evaluation index according to the load weight to obtain load weighted data; a selecting unit, configured to select 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 construction unit is used for constructing 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 plurality of 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: performing uploading task allocation on the plurality of target uploading channels according to the load balancing scheme to obtain target uploading tasks corresponding to each target uploading channel; 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.
A third aspect of the present invention provides an apparatus security management apparatus based on the internet of things, including: a memory and at least one processor, the memory having instructions stored therein; and the at least one processor calls the instruction in the memory so that the equipment safety management equipment based on the Internet of things executes the equipment safety management method based on the Internet of things.
A fourth aspect of the present invention provides a computer-readable storage medium having instructions stored therein, which when run on a computer, cause the computer to perform the above-described device security management method based on the internet of things.
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; list sorting processing is carried out on the plurality of data uploading channels according to the transmission success rate to obtain a success rate sorting table, and success rate index mapping is carried out on the plurality of data uploading channels according to the success rate sorting table to obtain success rate evaluation indexes; list sorting processing is carried out on a plurality of data uploading channels according to channel loads to obtain a load sorting table, and load index mapping is carried out on the plurality of data uploading channels according to the load sorting table to obtain load evaluation indexes; according to the method, the optimal data uploading channel is selected to transmit the equipment monitoring data of the scenic spot equipment, dynamic load balancing is realized, and further safety management efficiency of the scenic spot equipment and accuracy of equipment safety monitoring are improved.
Drawings
FIG. 1 is a schematic diagram of an embodiment of a device security management method based on the Internet of things in an embodiment of the present invention;
FIG. 2 is a flow chart of a matching data upload channel in an embodiment of the present invention;
FIG. 3 is a flow chart of parameter information analysis in an embodiment of the invention;
FIG. 4 is a flow chart of a success rate indicator mapping in an embodiment of the invention;
FIG. 5 is a schematic diagram of an embodiment of an apparatus for device security management based on the Internet of things in an embodiment of the present invention;
FIG. 6 is a schematic diagram of another embodiment of an apparatus for device 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 an apparatus for device security management based on the internet of things in an 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 and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments described herein may be implemented in other sequences than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, 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 or inherent to such process, method, article, or apparatus.
For easy understanding, the following describes a specific flow of an embodiment of the present invention, referring to fig. 1, and an embodiment of an apparatus security management method based on the internet of things in 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 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 equipment 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 invention is described by taking a server as an execution main body as an example.
Specifically, the server sends a connection establishment request to the scenic spot equipment and a preset cloud monitoring platform, the connection establishment request carries a communication connection protocol, the server establishes communication connection to the scenic spot equipment and the preset cloud monitoring platform according to the communication connection protocol carried by the connection establishment request, the server further selects equipment monitoring data of a preset monitoring 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 scenic spot equipment according to 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 a plurality of data uploading channels corresponding to the scenic spot device according to the uploading state information, further, after the server determines the plurality of data uploading channels corresponding to the scenic spot device, the server scans the information of the plurality of data uploading channels, determines the identification information corresponding to each data uploading channel, and finally obtains the channel parameter information corresponding to each data uploading channel.
S103, carrying out parameter information analysis on channel parameter information corresponding to each data uploading channel to obtain the transmission success rate and the channel load of each data uploading channel;
it should be noted that, the server analyzes the parameter information of the channel parameter information corresponding to each data uploading channel, when the server analyzes the parameter information, the server obtains the tag information associated with the channel parameter information, determines the service related parameters of the channel parameter information and other standard parameter information according to the tag information, and then determines the service coverage parameters associated with the channel parameter information and other standard parameter information according to the tag frequency of the tag information and the type of the channel load, thereby determining and obtaining the transmission success rate and the channel load of each data uploading channel 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 success rate evaluation indexes of each data uploading channel;
specifically, list sorting processing is performed on the plurality of data uploading channels according to the transmission success rate to obtain a success rate sorting table, 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 searches 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 a plurality of data uploading channels according to 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 of each data uploading channel;
specifically, list sorting processing is performed on a plurality of data uploading channels according to channel loads to obtain a load sorting table, further, a server performs load index mapping on the plurality of data uploading channels according to the load sorting table, wherein when the server performs load index mapping, the server performs preprocessing on the load sorting table to obtain a processed load sorting table, maps the load sorting table based on a cluster analysis technology, maps the load sorting table into information directly reflecting physical layer parameters, establishes a mathematical model corresponding to load sorting table distribution, and performs association mapping to obtain load evaluation indexes of each data uploading channel.
S106, generating a load balancing scheme of a 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 data uploading channels.
Specifically, a load balancing scheme of a plurality of data uploading channels is generated according to a success rate evaluation index and a load evaluation index, wherein a server respectively determines index parameters corresponding to preset resource load balancing schemes, the index parameters comprise the load evaluation index and the success rate evaluation index, further, the server generates the load balancing scheme of the plurality of data uploading channels according to the index parameters, and transmits equipment monitoring data to a cloud monitoring platform according to the load balancing scheme 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; list sorting processing is carried out on the plurality of data uploading channels according to the transmission success rate to obtain a success rate sorting table, and success rate index mapping is carried out on the plurality of data uploading channels according to the success rate sorting table to obtain success rate evaluation indexes; list sorting processing is carried out on a plurality of data uploading channels according to channel loads to obtain a load sorting table, and load index mapping is carried out on the plurality of data uploading channels according to the load sorting table to obtain load evaluation indexes; according to the method, the optimal data uploading channel is selected to transmit the equipment monitoring data of the scenic spot equipment, dynamic load balancing is realized, and further safety management efficiency of the scenic spot equipment and accuracy of equipment safety monitoring are improved.
In a specific embodiment, the process of executing step S101 may specifically include the following steps:
(1) Establishing communication connection between scenic spot equipment and a preset cloud monitoring platform, and acquiring a communication connection state;
(2) When the communication connection state is that the connection is successful, acquiring a preset monitoring period corresponding to scenic spot equipment and equipment monitoring data in the preset monitoring period;
(3) And monitoring the uploading state of the scenic spot equipment and acquiring uploading state information of the scenic spot equipment.
Specifically, the server establishes communication connection between the scenic spot device and a preset cloud monitoring platform, and acquires a communication connection state, when the communication connection state is successful, a preset monitoring period corresponding to the scenic spot device and device monitoring data in the preset monitoring period are acquired, wherein the device monitoring data of the scenic spot device are acquired, and then the server performs uploading state detection on the scenic spot device.
In a specific embodiment, as shown in fig. 2, the process of executing step S102 may specifically include the following steps:
s201, carrying out data uploading channel matching on scenic spot equipment based on 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 amount of each data uploading channel;
s203, generating channel parameter information corresponding to each data uploading channel according to the current load state and the uploading data quantity.
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, further,
the server acquires the current load state and the uploading data volume of each data uploading channel, wherein the server calls the channel load parameter of each data uploading channel, further determines the current load state and the uploading data volume of each data uploading channel according to the channel load parameter 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 uploading data volume.
In a specific embodiment, as shown in fig. 3, the process of executing step S103 may specifically include the following steps:
S301, carrying out parameter information analysis on channel parameter information corresponding to each data uploading channel to obtain a transmission path;
s302, carrying out path node information analysis on 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 carrying out 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, obtaining initial load corresponding to the transmission node, and carrying out normalization operation on initial success rate corresponding to the transmission node to generate channel load of each data uploading channel.
Specifically, the server analyzes the parameter information of the channel parameter information corresponding to each data uploading channel to obtain a transmission path, and it is required to be explained that, when the parameter information is analyzed, the server obtains the parameter information of the channel parameter information of each data uploading channel, analyzes the parameter information according to a pre-constructed parameter analysis rule to obtain a transmission path, and further, the server performs the path node information analysis on the transmission path to obtain transmission nodes corresponding to the transmission path, wherein the server obtains a plurality of path node information, the i-th path node information is used for indicating the total load of all shortest paths from the path node to the target node through all shortest paths of the i-th adjacent node of the path node, obtains the transmission node corresponding to the transmission path, further, the server obtains the initial success rate corresponding to the transmission node, performs weighted average calculation on the initial success rate corresponding to the transmission node, generates the transmission success rate of each data uploading channel, further obtains the initial load corresponding to the transmission node, and performs normalization operation on the initial success rate corresponding to the transmission node, so as to generate the 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 a preset success rate index;
s403, carrying out 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.
Specifically, the server performs list sorting processing on the plurality of data uploading channels according to transmission success rates to obtain a success rate sorting table, and further 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 preset success rate indexes and success rates of the plurality of data uploading channels to be mapped, 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 a mapping relation table based on association 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) Obtaining 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;
(2) Acquiring load weights, and carrying out weighting operation on load evaluation indexes according to the load weights to obtain load weighted data;
(3) Selecting a plurality of target uploading channels from a plurality of data uploading channels according to the success rate weighting data and the load weighting 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, a server acquires success rate weight, performs weighting operation on success rate evaluation indexes according to the success rate weight to obtain success rate weighted data, further, the server acquires load weight, performs weighting operation on the load evaluation indexes according to the load weight to obtain load weighted data, wherein the server adjusts the load data according to the load weighted data, performs weighting operation on the load evaluation indexes according to the load weight to obtain the load weighted data, selects a plurality of target uploading channels from a plurality of data uploading channels according to the success rate weighted data and the load weighted data, constructs a load balancing scheme of the plurality of target uploading channels, and transmits equipment monitoring data to a 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 plurality of target uploading channels and the load balancing scheme in the executing step may specifically include the following steps:
(1) According to a load balancing scheme, uploading task allocation is carried out on a plurality of target uploading channels, and target uploading tasks corresponding to each target uploading channel are obtained;
(2) Judging whether the current load of each target uploading channel exceeds a 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 a 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 target uploading tasks corresponding to each target uploading channel, and it is required to say that when the uploading task allocation is performed, the server determines the uploading tasks corresponding to each target uploading channel according to the load balancing scheme, further, the server determines the target uploading tasks corresponding to each target uploading channel, further, the server judges whether the current load of each target uploading channel exceeds the target uploading tasks, if so, a new target uploading channel is selected from a plurality of data uploading channels to execute the data uploading tasks, and the equipment monitoring data is transmitted to the cloud monitoring platform.
The method for managing equipment security based on the internet of things in the embodiment of the present invention is described above, and the device for managing equipment security based on the internet of things in the embodiment of the present invention is described below, referring to fig. 5, one embodiment of the device for managing equipment security based on the internet of things in the embodiment of the present invention includes:
an obtaining module 501, configured to establish a communication connection between scenic spot equipment and a preset cloud monitoring platform, upload equipment monitoring data in a preset monitoring period from the scenic spot equipment, and obtain upload status information of the scenic spot equipment;
the matching module 502 is configured to match a plurality of data uploading channels corresponding to the scenic spot device according to the uploading status information, and obtain channel parameter information corresponding to each data uploading channel;
the parsing module 503 is configured to parse parameter information of channel parameter information corresponding to each data uploading channel, so as to obtain a transmission success rate and a channel load of each data uploading channel;
the processing module 504 is configured to perform list sorting processing on the plurality of data upload channels according to the transmission success rate to obtain a success rate sorting table, and perform success rate index mapping on the plurality of data upload channels according to the success rate sorting table to obtain a success rate evaluation index of each data upload channel;
The mapping module 505 is configured to perform list sorting processing on the plurality of data uploading channels according to the channel load to obtain a load sorting table, and perform 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 506 is configured to generate a load balancing scheme of the plurality of data uploading 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 plurality of data uploading channels.
Through the cooperation of the components, the parameter information analysis is carried out on the channel parameter information to obtain the transmission success rate and the channel load; list sorting processing is carried out on the plurality of data uploading channels according to the transmission success rate to obtain a success rate sorting table, and success rate index mapping is carried out on the plurality of data uploading channels according to the success rate sorting table to obtain success rate evaluation indexes; list sorting processing is carried out on a plurality of data uploading channels according to channel loads to obtain a load sorting table, and load index mapping is carried out on the plurality of data uploading channels according to the load sorting table to obtain load evaluation indexes; according to the method, the optimal data uploading channel is selected to transmit the equipment monitoring data of the scenic spot equipment, dynamic load balancing is realized, and further safety management efficiency of the scenic spot equipment and accuracy of equipment safety monitoring are improved.
Referring to fig. 6, another embodiment of an apparatus security management device based on internet of things in an embodiment of the present invention includes:
an obtaining module 501, configured to establish a communication connection between scenic spot equipment and a preset cloud monitoring platform, upload equipment monitoring data in a preset monitoring period from the scenic spot equipment, and obtain upload status information of the scenic spot equipment;
the matching module 502 is configured to match a plurality of data uploading channels corresponding to the scenic spot device according to the uploading status information, and obtain channel parameter information corresponding to each data uploading channel;
the parsing module 503 is configured to parse parameter information of channel parameter information corresponding to each data uploading channel, so as to obtain a transmission success rate and a channel load of each data uploading channel;
the processing module 504 is configured to perform list sorting processing on the plurality of data upload channels according to the transmission success rate to obtain a success rate sorting table, and perform success rate index mapping on the plurality of data upload channels according to the success rate sorting table to obtain a success rate evaluation index of each data upload channel;
the mapping module 505 is configured to perform list sorting processing on the plurality of data uploading channels according to the channel load to obtain a load sorting table, and perform 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 506 is configured to generate a load balancing scheme of the plurality of data uploading 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 plurality of data uploading channels.
Optionally, the obtaining module 501 is specifically configured to: establishing communication connection between 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 period corresponding to the scenic spot equipment and equipment monitoring data in the preset monitoring 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: based on the uploading state information, carrying out data uploading channel matching on the scenic spot equipment, and traversing a plurality of data uploading channels corresponding to the scenic spot equipment; acquiring the current load state and the uploading data quantity 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 quantity.
Optionally, the parsing module 503 is specifically configured to: carrying out parameter information analysis on channel parameter information corresponding to each data uploading channel to obtain a transmission path; analyzing 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 carrying out 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 obtaining the initial load corresponding to the transmission node, and carrying out normalization operation on the initial success rate corresponding to the transmission node to generate the channel load of each data uploading channel.
Optionally, the processing module 504 is specifically configured to: list sorting processing is carried out on the plurality of data uploading channels according to the transmission success rate, so that a success rate sorting table is obtained; acquiring a success rate index mapping relation table between the plurality of data uploading channels and a preset success rate index; and carrying out 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.
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, so as to obtain success rate weighted data;
the computing unit 5062 is configured to obtain a load weight, and perform a weighted operation on the load evaluation index according to the load weight to obtain load weighted data;
a selecting unit 5063, configured to select 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;
a construction unit 5064, configured to construct a load balancing scheme of the multiple target upload channels;
and the transmission unit 5065 is configured to transmit the device monitoring data to the cloud monitoring platform through the multiple target uploading channels and the load balancing scheme.
Optionally, the transmission unit 5065 is specifically configured to: performing uploading task allocation on the plurality of target uploading channels according to the load balancing scheme to obtain target uploading tasks corresponding to each target uploading channel; 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; list sorting processing is carried out on the plurality of data uploading channels according to the transmission success rate to obtain a success rate sorting table, and success rate index mapping is carried out on the plurality of data uploading channels according to the success rate sorting table to obtain success rate evaluation indexes; list sorting processing is carried out on a plurality of data uploading channels according to channel loads to obtain a load sorting table, and load index mapping is carried out on the plurality of data uploading channels according to the load sorting table to obtain load evaluation indexes; according to the method, the optimal data uploading channel is selected to transmit the equipment monitoring data of the scenic spot equipment, dynamic load balancing is realized, and further safety management efficiency of the scenic spot equipment and accuracy of equipment safety monitoring are improved.
Fig. 5 and fig. 6 above 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 a modularized 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 below.
Fig. 7 is a schematic structural diagram of an apparatus security management device based on the internet of things according to an embodiment of the present invention, where the apparatus security management device 600 based on the internet of things may generate relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) 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 application programs 633 or data 632. Wherein the memory 620 and the storage medium 630 may be transitory 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 instruction operations in the internet of things-based device security management apparatus 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 service, mac OS X, unix, linux, freeBSD, and the like. It will be appreciated by those skilled in the art that the configuration of the device security management device based on the internet of things shown in fig. 7 does not constitute a limitation of the device security management device based on the internet of things, and may include more or less components than those illustrated, or may combine certain components, or may be arranged in different components.
The invention also provides equipment safety management equipment based on the Internet of things, which comprises a memory and a processor, wherein the memory stores computer readable instructions, and when the computer readable instructions are executed by the processor, the processor executes the steps of the equipment safety management method based on the Internet of things in the above embodiments.
The invention also provides a computer readable storage medium, which can be a nonvolatile computer readable storage medium, and can also be a volatile computer readable storage medium, wherein the computer readable storage medium stores instructions, and when the instructions run on a computer, the instructions cause the computer to execute the steps of the device security management method based on the internet of things.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform 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 (random acceS memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the 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 scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The equipment safety management method based on the Internet of things is characterized by comprising the following steps of:
establishing communication connection between scenic spot equipment and a preset cloud monitoring platform, uploading equipment monitoring data of a preset monitoring 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;
carrying out parameter information analysis on channel parameter information corresponding to each data uploading channel to obtain the transmission success rate and the channel load of each data uploading channel;
List sorting processing is carried out on the plurality of data uploading channels according to the transmission success rate to obtain a success rate sorting table, and success rate index mapping is carried out on the plurality of data uploading channels according to the success rate sorting table to obtain success rate evaluation indexes of each data uploading channel;
list sorting processing is carried out on the plurality of data uploading channels according to the channel load to obtain a load sorting table, and load index mapping is carried out on the plurality of data uploading channels according to the load sorting table to obtain load evaluation indexes 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.
2. The method for device security management based on internet of things according to claim 1, wherein the establishing a communication connection between the scenic spot device and a preset cloud monitoring platform, uploading device monitoring data of a preset monitoring period from the scenic spot device, and obtaining uploading state information of the scenic spot device, includes:
Establishing communication connection between 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 period corresponding to the scenic spot equipment and equipment monitoring data in the preset monitoring period;
and monitoring the uploading state of the scenic spot equipment and acquiring the uploading state information of the scenic spot equipment.
3. The method for device security management based on internet of things according to claim 1, wherein the matching the plurality of data uploading channels corresponding to the scenic spot device according to the uploading state information, and obtaining channel parameter information corresponding to each data uploading channel, includes:
based on the uploading state information, carrying out data uploading channel matching on the scenic spot equipment, and traversing a plurality of data uploading channels corresponding to the scenic spot equipment;
acquiring the current load state and the uploading data quantity 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 quantity.
4. The method for device security management based on internet of things according to claim 1, wherein the performing parameter information analysis on the channel parameter information corresponding to each data uploading channel to obtain a transmission success rate and a channel load of each data uploading channel comprises:
Carrying out parameter information analysis on channel parameter information corresponding to each data uploading channel to obtain a transmission path;
analyzing 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 carrying out 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 obtaining the initial load corresponding to the transmission node, and carrying out 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 device security management based on internet of things according to claim 1, wherein the 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:
list sorting processing is carried out on the plurality of data uploading channels according to the transmission success rate, so that a success rate sorting table is obtained;
Acquiring a success rate index mapping relation table between the plurality of data uploading channels and a preset success rate index;
and carrying out 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.
6. The method for device security management based on internet of things 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:
obtaining success rate weights, and carrying out weighting operation on the success rate evaluation indexes according to the success rate weights to obtain success rate weighted data;
acquiring load weights, and carrying out weighting operation on the load evaluation indexes according to the load weights to obtain load weighted data;
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;
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 method for device security management based on internet of things according to claim 6, wherein the transmitting the device monitoring data to the cloud monitoring platform through the plurality of target uploading channels and the load balancing scheme comprises:
performing uploading task allocation on the plurality of target uploading channels according to the load balancing scheme to obtain target uploading tasks corresponding to each target uploading channel;
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 a device safety management device based on thing networking which characterized in that, device safety management device based on thing networking includes:
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 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 carrying out parameter information analysis on 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 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 success rate evaluation indexes 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 load 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 device security management device based on the internet of things is characterized by comprising: 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 apparatus 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, which when executed by a processor implement the internet of things based device security management method of any of claims 1-7.
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