CN112067048A - ETC portal equipment real-time running state monitoring method based on Internet of things - Google Patents
ETC portal equipment real-time running state monitoring method based on Internet of things Download PDFInfo
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- 238000005265 energy consumption Methods 0.000 claims description 12
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Abstract
The invention provides a real-time running state monitoring method based on an ETC portal device of the Internet of things, which comprises the steps of obtaining an overall influence matrix by establishing a matrix function of relevant factors, obtaining an alarm upper limit threshold matrix and an alarm lower limit threshold matrix by the overall influence matrix, obtaining the upper limit threshold alarm matrix and the lower limit threshold alarm matrix according to each real-time monitoring value matrix, the alarm upper limit threshold matrix and the alarm lower limit threshold matrix, obtaining the alarm matrix according to the upper limit threshold alarm matrix and the lower limit threshold alarm matrix, and calculating to obtain an influence weight matrix through an association equation matrix and the alarm matrix; and finally, determining the core parameters influencing the running state of the portal frame according to the influence weight matrix. The core parameters influencing the running state of the portal are determined, and the largest influencing factor influencing the equipment at present can be judged, so that the running condition of the equipment can be obtained.
Description
Technical Field
The invention belongs to the technical field of ETC gantries of the Internet of things, and particularly relates to a real-time running state monitoring method based on ETC gantry equipment of the Internet of things.
Background
The overall working deployment of the provincial toll station of the expressway is cancelled according to the national deepening of the toll road system reform, and the hardware and software standardization construction and transformation of the provincial two-stage system upgrading, the expressway toll station, the toll lane and the ETC portal system are basically completed in China. With the great investment of ETC portal, because of involving a large amount of monitoring facilities, communications facilities, computer equipment, distribution facility etc. how to guarantee the normal operation of equipment in long-term highway operation management and maintenance is the problem that all highway operation units face to compel to solve. The normal operating of assurance equipment just needs to detect each equipment of every ETC portal, acquires the operational aspect of equipment to judge, maintains the equipment that has the problem, at present, is assessing the analysis and is all testing through directly through the manual work to the operational aspect of each equipment, and its work efficiency is low, and work load is big, needs to assess the high cost of analysis.
Disclosure of Invention
The invention provides a real-time running state monitoring method based on an ETC portal device of the Internet of things, and solves the technical problems of low working efficiency, large workload and high cost of evaluation and analysis in the prior art.
The invention provides a real-time running state monitoring method based on an ETC portal device of the Internet of things, which comprises the following steps:
acquiring monitoring parameters of various relevant factors influenced by ETC portal equipment;
establishing a matrix function of the correlation factors according to the monitoring parameters;
establishing an integral influence matrix according to the matrix function of each correlation factor;
acquiring an alarm upper limit threshold matrix and an alarm lower limit threshold matrix according to the overall influence matrix;
acquiring each real-time monitoring data of the ETC portal equipment;
constructing a real-time monitoring value matrix according to each real-time monitoring data;
acquiring an upper threshold alarm matrix and a lower threshold alarm matrix according to each real-time monitoring value matrix, the upper threshold alarm matrix and the lower threshold alarm matrix;
acquiring an alarm matrix according to the upper limit threshold alarm matrix and the lower limit threshold alarm matrix;
acquiring correlation factors among the correlation factors according to the correlation factors;
acquiring a correlation equation matrix according to each correlation factor;
calculating to obtain an influence weight matrix according to the incidence equation matrix and the alarm matrix;
and determining core parameters influencing the running state of the portal frame according to the influence weight matrix.
Preferably, the relevant factors include a matrix function of environment, a matrix function of water immersion, a matrix function of power supply, a matrix function of lightning stroke, a matrix function of energy consumption, a matrix function of working condition, a matrix function of theft prevention and a matrix function of fire.
Preferably, according to the monitoring parameters, establishing a matrix function of the correlation factors specifically includes:
αi＝{θ1，θ2，θ3，...θn}；
the alpha i is any one matrix function of a matrix function of the environment, a matrix function of water immersion, a matrix function of a power supply, a matrix function of lightning stroke, a matrix function of energy consumption, a matrix function of working conditions, a matrix function of burglary prevention and a matrix function of fire; θ 1, θ 2, θ 3.. θ n is a monitoring parameter corresponding to α i.
Preferably, the establishing of the overall influence matrix according to the matrix function of each correlation factor is specifically;
β＝{α1，α2，α3，...α8}；
α 8 is a matrix function of environment, a matrix function of water immersion, a matrix function of power supply, a matrix function of lightning stroke, a matrix function of energy consumption, a matrix function of working condition, a matrix function of theft prevention and a matrix function of fire disaster respectively;
unfolding to obtain:
preferably, the real-time monitoring value matrix is:
and phi is real-time monitoring data.
Preferably, the alarm upper threshold matrix is:
the alarm upper limit threshold matrix is as follows:
wherein λ is an alarm threshold of each relevant factor.
Preferably, the obtaining of the upper threshold alarm matrix and the lower threshold alarm matrix according to each of the real-time monitoring value matrix, the alarm upper threshold matrix and the alarm lower threshold matrix is specifically;
the upper limit threshold alarm matrix is
The lower threshold alarm matrix is
Preferably, the incidence matrix is
Preferably, the impact weight matrix is:
according to the technical scheme, the invention has the following advantages:
the invention provides a real-time running state monitoring method based on an ETC portal device of the Internet of things, which comprises the steps of obtaining an overall influence matrix by establishing a matrix function of relevant factors, obtaining an alarm upper limit threshold matrix and an alarm lower limit threshold matrix by the overall influence matrix, obtaining the upper limit threshold alarm matrix and the lower limit threshold alarm matrix according to each real-time monitoring value matrix, the alarm upper limit threshold matrix and the alarm lower limit threshold matrix, obtaining the alarm matrix according to the upper limit threshold alarm matrix and the lower limit threshold alarm matrix, and calculating to obtain an influence weight matrix through an association equation matrix and the alarm matrix; and finally, determining the core parameters influencing the running state of the portal frame according to the influence weight matrix. The core parameters influencing the operation state of the portal can be determined, the largest influence factor influencing the equipment at present can be judged, so that the operation condition of the equipment can be obtained, early warning monitoring, hidden danger control and centralized management of all ETC portal equipment along the highway can be realized, the trouble can be prevented in the bud, and the stable operation of the highway is guaranteed to be particularly important. The technical problems of low working efficiency, large workload and high cost of evaluation and analysis in the prior art are solved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a flowchart of a real-time operation state monitoring method for an ETC portal device based on the internet of things, which is provided by the embodiment of the invention;
Detailed Description
The invention provides a real-time running state monitoring method based on an ETC portal device of the Internet of things, and solves the technical problems of low working efficiency, large workload and high cost of evaluation and analysis in the prior art.
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a real-time operation state monitoring method for an ETC portal device based on the internet of things according to an embodiment of the present invention includes the following steps:
acquiring monitoring parameters of various relevant factors influenced by ETC portal equipment;
relevant factors affecting ETC portal equipment include environment, water immersion, power supply, lightning strike, energy consumption, working conditions, theft prevention and fire hazard.
Thus, the relevant factors include a matrix function of the environment, a matrix function of water immersion, a matrix function of the power supply, a matrix function of lightning strike, a matrix function of energy consumption, a matrix function of the working conditions, a matrix function of theft prevention, and a matrix function of fire.
The monitoring parameters comprise an accumulated time counting parameter, a lightning protection safety coefficient parameter, a power distribution cabinet temperature and humidity parameter, an air conditioner running state parameter, a water collecting tank water level parameter, each loop parameter, a warning parameter, an energy consumption parameter, an electrical fire parameter and a power supply parameter.
Establishing a matrix function of the correlation factors according to the monitoring parameters;
according to the monitoring parameters, establishing a matrix function of the correlation factors specifically comprises the following steps:
αi＝{θ1，θ2，θ3，...θn}；
the alpha i is any one matrix function of a matrix function of the environment, a matrix function of water immersion, a matrix function of a power supply, a matrix function of lightning stroke, a matrix function of energy consumption, a matrix function of working conditions, a matrix function of burglary prevention and a matrix function of fire; θ 1, θ 2, θ 3.. θ n is a monitoring parameter corresponding to α i.
Establishing an integral influence matrix according to the matrix function of each correlation factor;
establishing an overall influence matrix according to the matrix function of each correlation factor;
β＝{α1，α2，α3，...α8}；
α 8 is a matrix function of environment, a matrix function of water immersion, a matrix function of power supply, a matrix function of lightning stroke, a matrix function of energy consumption, a matrix function of working condition, a matrix function of theft prevention and a matrix function of fire disaster respectively;
unfolding to obtain:
acquiring an alarm upper limit threshold matrix and an alarm lower limit threshold matrix according to the overall influence matrix;
the alarm upper limit threshold matrix is as follows:
the alarm upper limit threshold matrix is as follows:
wherein λ is an alarm threshold of each relevant factor.
If the monitoring data is voltage, the upper limit of the alarm threshold is set to be 220V, and the lower limit is set to be 10V according to actual conditions.
Acquiring each real-time monitoring data of the ETC portal equipment;
the real-time monitoring data comprise an electric parameter, output direct current total power, voltage, current, conversion efficiency, temperature, operation time, water collecting tank real-time water level, output power, output direct current voltage, current, standby power time, accumulated discharge times, an electronic door lock, unauthorized access, remote defense deployment, defense withdrawal power consumption loop ratio, same-proportion theft prevention, electric sparks, leakage current, cable temperature, smoke fire, accumulated power consumption camera shooting gun state, ETC inductor state, monthly power consumption energy consumption and the like.
Establishing a real-time monitoring value matrix according to each real-time monitoring data;
the real-time monitoring value matrix is as follows:
and phi is real-time monitoring data.
Acquiring an upper threshold alarm matrix and a lower threshold alarm matrix according to each real-time monitoring value matrix, the upper threshold alarm matrix and the lower threshold alarm matrix;
specifically, the upper limit threshold alarm matrix and the lower limit threshold alarm matrix are obtained according to each real-time monitoring value matrix, the upper limit alarm matrix and the lower limit alarm matrix;
the upper limit threshold alarm matrix is
The lower threshold alarm matrix is
Acquiring an alarm matrix according to the upper limit threshold alarm matrix and the lower limit threshold alarm matrix;
the alarm matrix is
Wherein, the value is positive to generate alarm behavior, the value is negative to generate general behavior,
is a 1 x n matrix.
Acquiring correlation factors among the correlation factors according to the correlation factors;
the obtaining of the correlation factors among the correlation factors according to the correlation factors specifically includes:
α1＝ν11*α1+ν12*α2+...+ν1n*αn；
α2＝ν21*α1+ν22*α2+...+ν2n*αn；
...
αm＝νm1*α1+νm2*α2+...+νmn*αn；
wherein v is a correlation factor.
Acquiring a correlation equation matrix according to each correlation factor;
the incidence matrix is
Calculating to obtain an influence weight matrix according to the incidence equation matrix and the alarm matrix;
the impact weight matrix is:
and determining core parameters influencing the running state of the portal frame according to the influence weight matrix.
And determining core parameters influencing the running state of the portal frame according to the influence weight matrix. The core parameters influencing the operation state of the portal can be determined, the largest influence factor influencing the equipment at present can be judged, so that the operation condition of the equipment can be obtained, early warning monitoring, hidden danger control and centralized management of all ETC portal equipment along the highway can be realized, the trouble can be prevented in the bud, and the stable operation of the highway is guaranteed to be particularly important. The technical problems of low working efficiency, large workload and high cost of evaluation and analysis in the prior art are solved.
In addition, relevant influence parameters are found by a linear regression method.
Therefore, the running condition of the equipment can be effectively monitored and evaluated.
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.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only a logical function division based on the real-time operation state monitoring method of the internet of things ETC portal device, and there may be other division manners in actual implementation, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, 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 or an optical disk, and 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. A real-time running state monitoring method based on an ETC portal device of the Internet of things is characterized by comprising the following steps:
acquiring monitoring parameters of various relevant factors influenced by ETC portal equipment;
establishing a matrix function of the correlation factors according to the monitoring parameters;
establishing an integral influence matrix according to the matrix function of each correlation factor;
acquiring an alarm upper limit threshold matrix and an alarm lower limit threshold matrix according to the overall influence matrix;
acquiring each real-time monitoring data of the ETC portal equipment;
establishing a real-time monitoring value matrix according to each real-time monitoring data;
acquiring an upper threshold alarm matrix and a lower threshold alarm matrix according to each real-time monitoring value matrix, the upper threshold alarm matrix and the lower threshold alarm matrix;
acquiring an alarm matrix according to the upper limit threshold alarm matrix and the lower limit threshold alarm matrix;
acquiring correlation factors among the correlation factors according to the correlation factors;
acquiring a correlation equation matrix according to each correlation factor;
calculating to obtain an influence weight matrix according to the incidence equation matrix and the alarm matrix;
and determining core parameters influencing the running state of the portal frame according to the influence weight matrix.
2. The method for monitoring the real-time operation state of the ETC portal device based on the Internet of things according to claim 1,
the relevant factors comprise a matrix function of environment, a matrix function of water immersion, a matrix function of a power supply, a matrix function of lightning stroke, a matrix function of energy consumption, a matrix function of working conditions, a matrix function of burglary prevention and a matrix function of fire.
3. The method for monitoring the real-time running state of the ETC portal device based on the Internet of things according to claim 2, wherein according to the monitoring parameters, establishing a matrix function of correlation factors specifically comprises the following steps:
αi＝{θ1，θ2，θ3，...θn}；
the alpha i is any one matrix function of a matrix function of the environment, a matrix function of water immersion, a matrix function of a power supply, a matrix function of lightning stroke, a matrix function of energy consumption, a matrix function of working conditions, a matrix function of burglary prevention and a matrix function of fire; θ 1, θ 2, θ 3.. θ n is a monitoring parameter corresponding to α i.
4. The method for monitoring the real-time running state of the ETC portal device based on the Internet of things according to claim 3, wherein the step of establishing an overall influence matrix according to a matrix function of each correlation factor is specifically as follows;
β＝{α1，α2，α3，...α8}；
α 8 is a matrix function of environment, a matrix function of water immersion, a matrix function of power supply, a matrix function of lightning stroke, a matrix function of energy consumption, a matrix function of working condition, a matrix function of theft prevention and a matrix function of fire disaster respectively;
unfolding to obtain:
5. the method for monitoring the real-time operation state of the ETC portal device based on the Internet of things according to claim 4,
the real-time monitoring value matrix is as follows:
and phi is real-time monitoring data.
6. The method for monitoring the real-time operation state of the ETC portal device based on the Internet of things according to claim 5,
the alarm upper limit threshold matrix is as follows:
the alarm upper limit threshold matrix is as follows:
wherein λ is an alarm threshold of each relevant factor.
7. The method for monitoring the real-time operation state of the ETC portal device based on the Internet of things according to claim 6,
specifically, the upper limit threshold alarm matrix and the lower limit threshold alarm matrix are obtained according to each real-time monitoring value matrix, the upper limit alarm matrix and the lower limit alarm matrix;
the upper limit threshold alarm matrix is
The lower threshold alarm matrix is
8. The method for monitoring the real-time operation state of the ETC portal device based on the Internet of things according to claim 7,
the obtaining of the correlation factors among the correlation factors according to the correlation factors specifically includes:
α1＝ν11*α1+ν12*α2+...+ν1n*αn；
α2＝ν21*α1+ν22*α2+...+ν2n*αn；
...
αm＝νm1*α1+νm2*α2+...+νmn*αn；
wherein v is a correlation factor.
9. The method for monitoring the real-time operation state of the ETC portal device based on the Internet of things according to claim 8,
the incidence matrix is
10. The method for monitoring the real-time operation state of the ETC portal device based on the Internet of things according to claim 9,
the impact weight matrix is:
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