CN117268471A - Optical cable distributing box operation safety monitoring system based on Internet of things - Google Patents
Optical cable distributing box operation safety monitoring system based on Internet of things Download PDFInfo
- Publication number
- CN117268471A CN117268471A CN202311384538.2A CN202311384538A CN117268471A CN 117268471 A CN117268471 A CN 117268471A CN 202311384538 A CN202311384538 A CN 202311384538A CN 117268471 A CN117268471 A CN 117268471A
- Authority
- CN
- China
- Prior art keywords
- optical cable
- cross
- value
- coefficient
- internal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000003287 optical effect Effects 0.000 title claims abstract description 161
- 238000012544 monitoring process Methods 0.000 title claims abstract description 88
- 238000011156 evaluation Methods 0.000 claims abstract description 76
- 238000004458 analytical method Methods 0.000 claims abstract description 28
- 238000004891 communication Methods 0.000 claims abstract description 4
- 238000005260 corrosion Methods 0.000 claims description 45
- 230000007797 corrosion Effects 0.000 claims description 43
- 238000000034 method Methods 0.000 claims description 42
- 230000002457 bidirectional effect Effects 0.000 claims description 36
- 238000004364 calculation method Methods 0.000 claims description 20
- 238000012423 maintenance Methods 0.000 claims description 19
- 230000001105 regulatory effect Effects 0.000 claims description 18
- 238000006243 chemical reaction Methods 0.000 claims description 6
- 238000007689 inspection Methods 0.000 claims description 4
- 238000012546 transfer Methods 0.000 claims description 3
- 238000009736 wetting Methods 0.000 claims description 3
- 230000002159 abnormal effect Effects 0.000 abstract description 9
- 238000011835 investigation Methods 0.000 abstract description 3
- 238000007405 data analysis Methods 0.000 abstract description 2
- 238000005516 engineering process Methods 0.000 abstract description 2
- 230000002265 prevention Effects 0.000 description 5
- 238000012545 processing Methods 0.000 description 3
- 230000007613 environmental effect Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Chemical compound O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 241000238631 Hexapoda Species 0.000 description 1
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000009833 condensation Methods 0.000 description 1
- 230000005494 condensation Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Light Guides In General And Applications Therefor (AREA)
Abstract
The invention belongs to the field of handover equipment, relates to a data analysis technology, and is used for solving the problem that an optical cable handover box operation safety monitoring system in the prior art cannot be combined with operation environment data of the optical cable handover box to mark influence factors in abnormal operation, in particular to an optical cable handover box operation safety monitoring system based on the Internet of things, and comprises a safety monitoring platform, wherein the safety monitoring platform is in communication connection with a cross analysis module, a safety monitoring module, a safety evaluation module and a storage module; the cross analysis module is used for carrying out cross analysis on the internal environment and the external environment of the cable distribution box: marking the cross characteristic of the optical cable distribution box as superposition or mirror image through a cross coefficient JC; the invention can carry out cross analysis on the internal environment and the external environment of the optical cable cross connecting box, thereby marking the cross characteristics of the optical cable cross connecting box according to the cross coefficient and providing data support for hidden danger root cause investigation analysis in safety monitoring analysis.
Description
Technical Field
The invention belongs to the field of handover equipment, relates to a data analysis technology, and particularly relates to an optical cable cross-connecting cabinet operation safety monitoring system based on the Internet of things.
Background
The optical cable cross connecting cabinet is a connecting device arranged outdoors, and the most fundamental requirement for the optical cable cross connecting cabinet is that the optical cable cross connecting cabinet can resist severe weather and severe working environments, and the optical cable cross connecting cabinet has the characteristics of water vapor condensation prevention, water prevention, dust prevention, insect damage prevention, mouse damage prevention and strong impact damage resistance and can resist severe external environments.
The optical cable distributing box operation safety monitoring system in the prior art generally monitors and analyzes the environment inside the optical cable distributing box, then evaluates the operation safety of the optical cable distributing box according to the monitoring and analyzing result, but cannot be combined with the operation environment data of the optical cable distributing box to mark influencing factors during abnormal operation, so that the root cause of potential safety hazards cannot be examined, the abnormal processing efficiency is low, and the operation safety of the optical cable distributing box cannot be guaranteed.
Aiming at the technical problems, the application provides a solution.
Disclosure of Invention
The invention aims to provide an optical cable cross-connecting box operation safety monitoring system based on the Internet of things, which is used for solving the problem that the optical cable cross-connecting box operation safety monitoring system in the prior art cannot be combined with the operation environment data of the optical cable cross-connecting box to mark influencing factors in abnormal operation;
the technical problems to be solved by the invention are as follows: how to provide an optical cable distributing box operation safety monitoring system based on the Internet of things, which can be used for marking influence factors in abnormal operation by combining with the operation environment data of the optical cable distributing box.
The aim of the invention can be achieved by the following technical scheme:
the optical cable cross connecting cabinet operation safety monitoring system based on the Internet of things comprises a safety monitoring platform, wherein the safety monitoring platform is in communication connection with a cross analysis module, a safety monitoring module, a safety evaluation module and a storage module;
the cross analysis module is used for carrying out cross analysis on the internal environment and the external environment of the optical cable distribution box: acquiring cross temperature data JW, cross humidity data JS and cross corrosion data JF of an optical cable cross connecting cabinet; the method comprises the steps of obtaining a crossing coefficient JC of an optical cable cross-connecting cabinet by carrying out numerical calculation on cross-temperature data JW, cross-humidity data JS and cross-corrosion data JF; marking the cross characteristic of the optical cable distribution box as superposition or mirror image through a cross coefficient JC;
the safety monitoring module is used for monitoring and analyzing the operation safety of the optical cable cross connecting cabinet: acquiring internal temperature data NW, internal humidity data NS and internal corrosion coefficient NF of the optical cable cross connecting cabinet; the inner ring coefficient NH of the optical cable cross connecting cabinet is obtained by carrying out numerical calculation on the inner temperature data NW, the inner humidity data NS and the inner corrosion coefficient NF; the method comprises the steps that an inner ring threshold NHmax is obtained through a storage module, an inner ring coefficient NH of an optical cable cross connecting cabinet is compared with the inner ring threshold NHmax, and an operation normal signal, an external adjusting signal, a bidirectional adjusting signal or a line maintenance signal are generated through a comparison result and sent to a safety monitoring platform;
the safety evaluation module is used for evaluating and analyzing the operation safety of the optical cable cross connecting cabinet.
As a preferred embodiment of the present invention, the process of acquiring the cross temperature data JW includes: acquiring an internal air temperature value and an external air temperature value of the optical cable cross connecting cabinet, and marking the absolute value of the difference value between the internal air temperature value and the external air temperature value as cross temperature data JW;
the acquisition process of the traffic humidity data JS comprises the following steps: acquiring an internal air humidity value and an external air humidity value of the optical cable cross connecting cabinet, and marking the absolute value of the difference value between the internal air humidity value and the external air humidity value as cross wetting data JS;
the acquisition process of the cross-decay data JF comprises the following steps: the method comprises the steps of performing image shooting on the inner wall of a cable transfer box, marking the inner wall as an inner shot image, amplifying the inner shot image into a pixel grid image, performing gray level conversion, obtaining a gray level threshold value through a storage module, marking the pixel grid with the gray level value not smaller than the gray level threshold value as an inner corrosion grid, and marking the number ratio of the inner corrosion grid to the pixel grid as an inner corrosion coefficient; the outer surface of the optical cable distribution box is subjected to image shooting and marked as an outer shot image, the outer shot image is amplified into a pixel grid image and subjected to gray level conversion, the pixel grid with the gray level value not smaller than a gray level threshold value is marked as an outer corrosion grid, the number ratio of the outer corrosion grid to the pixel grid is marked as an outer corrosion coefficient, and the absolute value of the difference value between the inner corrosion coefficient and the outer corrosion coefficient is marked as cross corrosion data JF.
As a preferred embodiment of the present invention, the specific process of marking the intersection feature of the optical splice box includes: the method comprises the steps that a crossing threshold value JCmax is obtained through a storage module, and a crossing coefficient JC of an optical cable cross connecting cabinet is compared with the crossing threshold value JCmax: if the crossing coefficient JC is smaller than the crossing threshold value JCmax, marking the crossing characteristic of the optical cable cross connecting cabinet as coincidence; if the crossing coefficient JC is greater than or equal to the crossing threshold value JCmax, marking the crossing characteristic of the optical cable cross connecting cabinet as a mirror image; and sending the cross characteristic of the optical cable cross connecting box to a safety monitoring platform, and sending the cross characteristic to a safety monitoring module after the safety monitoring platform receives the cross characteristic.
As a preferred embodiment of the present invention, the acquisition process of the internal temperature data NW includes: acquiring an internal air temperature value and an internal temperature range of the optical cable cross connecting cabinet, marking an average value of a maximum value and a minimum value of the internal temperature range as an internal temperature standard value, and marking an absolute value of a difference value between the internal air temperature value and the internal temperature standard value as internal temperature data NW; the acquisition process of the internal humidity data NS comprises the following steps: and acquiring an internal air humidity value and an internal humidity range of the optical cable cross connecting cabinet, marking an average value of the maximum value and the minimum value of the internal humidity range as an internal humidity standard value, and marking an absolute value of a difference value between the internal air humidity value and the internal humidity standard value as internal humidity data NS.
As a preferred embodiment of the present invention, the specific process of comparing the inner loop coefficient NH of the optical cable cross-connecting box with the inner loop threshold NHmax includes: if the inner ring coefficient NH is smaller than the inner ring threshold NHmax, judging that the internal operation environment of the optical cable cross connecting box meets the requirements, and simultaneously calling the cross characteristic of the optical cable cross connecting box: if the intersection characteristics are coincident, generating an operation normal signal and sending the operation normal signal to the safety monitoring platform; if the cross characteristic is a mirror image, generating an external adjusting signal and sending the external adjusting signal to the safety monitoring platform; if the inner ring coefficient NH is greater than or equal to the inner ring threshold NHmax, judging that the internal operation environment of the optical cable cross connecting cabinet does not meet the requirement, and simultaneously calling the cross characteristic of the optical cable cross connecting cabinet: if the intersection characteristics are coincident, generating a bidirectional regulating signal and sending the bidirectional regulating signal to a safety monitoring platform; if the cross feature is a mirror image, generating a line inspection signal and sending the line inspection signal to the safety monitoring platform.
As a preferred embodiment of the invention, the specific process of the safety evaluation module for evaluating and analyzing the operation safety of the optical cable cross connecting cabinet comprises the following steps: generating an evaluation period, acquiring the times that the safety monitoring platform receives the line maintenance signal, the bidirectional regulating signal and the external regulating signal in the evaluation period, marking the times as a line value XL, a bidirectional value SX and an external value WB respectively, and carrying out numerical calculation on the line value XL, the bidirectional value SX and the external value WB to obtain an evaluation coefficient PG of the optical cable cross connecting cabinet in the evaluation period; acquiring an evaluation threshold value PGmax through a storage module, and comparing an evaluation coefficient PG with the evaluation threshold value PGmax:
if the evaluation coefficient PG is smaller than the evaluation threshold PGmax, judging that the operation safety of the optical cable cross connecting cabinet in the evaluation period meets the requirement;
if the evaluation coefficient PG is greater than or equal to the evaluation threshold PGmax, judging that the operation safety of the optical cable cross connecting cabinet in the evaluation period does not meet the requirement, generating a safety early warning signal and sending the safety early warning signal to the safety monitoring platform.
As a preferred embodiment of the invention, the working method of the optical cable cross connecting cabinet operation safety monitoring system based on the Internet of things comprises the following steps:
step one: the method comprises the following steps of performing cross analysis on the internal environment and the external environment of the optical cable distribution box: acquiring cross temperature data JW, cross humidity data JS and cross corrosion data JF of the optical cable cross connecting box, performing numerical calculation to obtain a cross coefficient JC of the optical cable cross connecting box, and marking cross characteristics of the optical cable cross connecting box through the cross coefficient JC;
step two: monitoring and analyzing the operation safety of the optical cable cross connecting box: acquiring internal temperature data NW, internal humidity data NS and an internal corrosion coefficient NF of the optical cable cross connecting cabinet, performing numerical calculation to obtain an internal ring coefficient NH, generating an operation normal signal, an external adjusting signal, a bidirectional adjusting signal or a line maintenance signal by combining the internal ring coefficient NH and the cross characteristic, and sending the operation normal signal, the external adjusting signal, the bidirectional adjusting signal or the line maintenance signal to a safety monitoring platform;
step three: and (3) evaluating and analyzing the operation safety of the optical distribution box: generating an evaluation period, acquiring the times that the safety monitoring platform receives the line maintenance signal, the bidirectional regulating signal and the external regulating signal in the evaluation period, marking the times as a line value XL, a bidirectional value SX and an external value WB respectively, carrying out numerical calculation on the line value XL, the bidirectional value SX and the external value WB to obtain an evaluation coefficient PG, and judging whether the operation safety of the optical distribution box in the evaluation period meets the requirement or not through the evaluation coefficient PG.
The invention has the following beneficial effects:
1. the internal environment and the external environment of the optical cable cross-connecting box can be subjected to cross analysis through the cross analysis module, and the cross coefficient is obtained through analysis of the deviation degree of the internal environment parameter and the external environment parameter of the optical cable cross-connecting box, so that the cross characteristic of the optical cable cross-connecting box is marked according to the cross coefficient, and data support is provided for hidden danger root cause investigation analysis in safety monitoring analysis;
2. the operation safety of the optical cable cross connecting box can be monitored and analyzed through the safety monitoring module, the inner ring coefficient is obtained through comprehensive analysis and calculation of a plurality of environmental parameters in the optical cable cross connecting box, and then the operation safety influencing factors of the optical cable cross connecting box are examined according to the numerical value and the cross characteristics of the inner ring coefficient, so that the abnormal processing efficiency is improved, and the operation safety problem of the optical cable cross connecting box is solved from the root;
3. the operation safety of the optical cable cross-connecting box can be evaluated and analyzed through the safety evaluation module, the evaluation coefficient is obtained through counting and analyzing the times that the safety monitoring platform receives various signals in the evaluation period, the overall operation safety of the optical cable cross-connecting box in the evaluation period is fed back through the evaluation coefficient, and early warning is timely carried out when the overall operation safety is abnormal.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a system block diagram of a first embodiment of the present invention;
fig. 2 is a flowchart of a method according to a second embodiment of the invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
As shown in fig. 1, the optical cable cross-connecting cabinet operation safety monitoring system based on the internet of things comprises a safety monitoring platform, wherein the safety monitoring platform is in communication connection with a cross analysis module, a safety monitoring module, a safety evaluation module and a storage module.
The cross analysis module is used for carrying out cross analysis on the internal environment and the external environment of the cable distribution box: the method for acquiring the cross temperature data JW, the cross humidity data JS and the cross corrosion data JF of the optical cable cross connecting cabinet comprises the following steps of: acquiring an internal air temperature value and an external air temperature value of the optical cable cross connecting cabinet, and marking the absolute value of the difference value between the internal air temperature value and the external air temperature value as cross temperature data JW; the acquisition process of the traffic humidity data JS comprises the following steps: acquiring an internal air humidity value and an external air humidity value of the optical cable cross connecting cabinet, and marking the absolute value of the difference value between the internal air humidity value and the external air humidity value as cross wetting data JS; the acquisition process of the cross-decay data JF comprises the following steps: the method comprises the steps of performing image shooting on the inner wall of a cable transfer box, marking the inner wall as an inner shot image, amplifying the inner shot image into a pixel grid image, performing gray level conversion, obtaining a gray level threshold value through a storage module, marking the pixel grid with the gray level value not smaller than the gray level threshold value as an inner corrosion grid, and marking the number ratio of the inner corrosion grid to the pixel grid as an inner corrosion coefficient; the outer surface of the optical cable distribution box is subjected to image shooting and marked as an outer shot image, the outer shot image is amplified into a pixel grid image and subjected to gray level conversion, the pixel grid with the gray level value not smaller than a gray level threshold value is marked as an outer corrosion grid, the number ratio of the outer corrosion grid to the pixel grid is marked as an outer corrosion coefficient, and the absolute value of the difference value between the inner corrosion coefficient and the outer corrosion coefficient is marked as cross corrosion data JF; obtaining a crossing coefficient JC of the optical cable cross connecting box through a formula JC=α1×JW+α2×JS+α3×JF, wherein α1, α2 and α3 are proportionality coefficients, and α1 > α2 > α3 > 1; the method comprises the steps that a crossing threshold value JCmax is obtained through a storage module, and a crossing coefficient JC of an optical cable cross connecting cabinet is compared with the crossing threshold value JCmax: if the crossing coefficient JC is smaller than the crossing threshold value JCmax, marking the crossing characteristic of the optical cable cross connecting cabinet as coincidence; if the crossing coefficient JC is greater than or equal to the crossing threshold value JCmax, marking the crossing characteristic of the optical cable cross connecting cabinet as a mirror image; the method comprises the steps that the cross characteristics of an optical cable cross connecting box are sent to a safety monitoring platform, and the safety monitoring platform sends the cross characteristics to a safety monitoring module after receiving the cross characteristics; the method comprises the steps of carrying out cross analysis on the internal environment and the external environment of the optical cable distribution box, and analyzing the deviation degree of the internal environment parameter and the external environment parameter of the optical cable distribution box to obtain a cross coefficient, so that the cross characteristic of the optical cable distribution box is marked according to the cross coefficient, and data support is provided for hidden danger root cause investigation analysis in safety monitoring analysis.
The safety monitoring module is used for monitoring and analyzing the operation safety of the optical cable cross connecting cabinet: the method for acquiring the internal temperature data NW, the internal humidity data NS and the internal corrosion coefficient NF of the optical cable cross connecting cabinet comprises the following steps of: acquiring an internal air temperature value and an internal temperature range of the optical cable cross connecting cabinet, marking an average value of a maximum value and a minimum value of the internal temperature range as an internal temperature standard value, and marking an absolute value of a difference value between the internal air temperature value and the internal temperature standard value as internal temperature data NW; the acquisition process of the internal humidity data NS comprises the following steps: acquiring an internal air humidity value and an internal humidity range of the optical cable cross connecting cabinet, marking an average value of a maximum value and a minimum value of the internal humidity range as an internal humidity standard value, and marking an absolute value of a difference value between the internal air humidity value and the internal humidity standard value as internal humidity data NS; obtaining an inner ring coefficient NH of the optical cable cross connecting box through a formula NH=β1×NW+β2×NS+β3×NF, wherein β1, β2 and β3 are all proportional coefficients, and β1 > β2 > β3 > 1; the inner ring threshold NHmax is obtained through the storage module, and the inner ring coefficient NH of the optical cable distributing box is compared with the inner ring threshold NHmax: if the inner ring coefficient NH is smaller than the inner ring threshold NHmax, judging that the internal operation environment of the optical cable cross connecting box meets the requirements, and simultaneously calling the cross characteristic of the optical cable cross connecting box: if the intersection characteristics are coincident, generating an operation normal signal and sending the operation normal signal to the safety monitoring platform; if the cross characteristic is a mirror image, generating an external adjusting signal and sending the external adjusting signal to the safety monitoring platform; if the inner ring coefficient NH is greater than or equal to the inner ring threshold NHmax, judging that the internal operation environment of the optical cable cross connecting cabinet does not meet the requirement, and simultaneously calling the cross characteristic of the optical cable cross connecting cabinet: if the intersection characteristics are coincident, generating a bidirectional regulating signal and sending the bidirectional regulating signal to a safety monitoring platform; if the cross characteristic is a mirror image, generating a line maintenance signal and sending the line maintenance signal to the safety monitoring platform; the operation safety of the optical cable cross connecting box is monitored and analyzed, the inner ring coefficient is obtained through comprehensive analysis and calculation of a plurality of environmental parameters in the optical cable cross connecting box, and then the operation safety influence factors of the optical cable cross connecting box are inspected according to the numerical value and the cross characteristics of the inner ring coefficient, so that the abnormal processing efficiency is improved, and the operation safety problem of the optical cable cross connecting box is solved from the root.
The safety evaluation module is used for evaluating and analyzing the operation safety of the optical cable cross connecting cabinet: generating an evaluation period, obtaining the times that the safety monitoring platform receives a line maintenance signal, a bidirectional regulation signal and an external regulation signal in the evaluation period, marking the times as a line value XL, a bidirectional value SX and an external value WB respectively, and obtaining an evaluation coefficient PG of the optical cable cross connecting box in the evaluation period through a formula PG=γ1xXL+γ2xSX+γ3xWB, wherein γ1, γ2 and γ3 are all proportional coefficients, and γ1 > γ2 > γ3 > 1; acquiring an evaluation threshold value PGmax through a storage module, and comparing an evaluation coefficient PG with the evaluation threshold value PGmax: if the evaluation coefficient PG is smaller than the evaluation threshold PGmax, judging that the operation safety of the optical cable cross connecting cabinet in the evaluation period meets the requirement; if the evaluation coefficient PG is greater than or equal to an evaluation threshold PGmax, judging that the operation safety of the optical cable cross connecting cabinet in an evaluation period does not meet the requirement, generating a safety early warning signal and sending the safety early warning signal to a safety monitoring platform; the method comprises the steps of evaluating and analyzing the operation safety of the cable cross-connecting box, counting and analyzing the times that the safety monitoring platform receives various signals in an evaluation period to obtain an evaluation coefficient, feeding back the overall operation safety of the cable cross-connecting box in the evaluation period through the evaluation coefficient, and early warning when the overall operation safety is abnormal.
Example two
As shown in fig. 2, the optical cable cross-connecting box operation safety monitoring method based on the internet of things comprises the following steps:
step one: the method comprises the following steps of performing cross analysis on the internal environment and the external environment of the optical cable distribution box: acquiring cross temperature data JW, cross humidity data JS and cross corrosion data JF of the optical cable cross connecting box, performing numerical calculation to obtain a cross coefficient JC of the optical cable cross connecting box, and marking cross characteristics of the optical cable cross connecting box through the cross coefficient JC;
step two: monitoring and analyzing the operation safety of the optical cable cross connecting box: acquiring internal temperature data NW, internal humidity data NS and an internal corrosion coefficient NF of the optical cable cross connecting cabinet, performing numerical calculation to obtain an internal ring coefficient NH, generating an operation normal signal, an external adjusting signal, a bidirectional adjusting signal or a line maintenance signal by combining the internal ring coefficient NH and the cross characteristic, and sending the operation normal signal, the external adjusting signal, the bidirectional adjusting signal or the line maintenance signal to a safety monitoring platform;
step three: and (3) evaluating and analyzing the operation safety of the optical distribution box: generating an evaluation period, acquiring the times that the safety monitoring platform receives the line maintenance signal, the bidirectional regulating signal and the external regulating signal in the evaluation period, marking the times as a line value XL, a bidirectional value SX and an external value WB respectively, carrying out numerical calculation on the line value XL, the bidirectional value SX and the external value WB to obtain an evaluation coefficient PG, and judging whether the operation safety of the optical distribution box in the evaluation period meets the requirement or not through the evaluation coefficient PG.
The method comprises the steps that an optical cable cross connecting box operation safety monitoring system based on the Internet of things is used, when the optical cable cross connecting box operation safety monitoring system works, cross temperature data JW, cross humidity data JS and cross corrosion data JF of the optical cable cross connecting box are obtained, a cross coefficient JC of the optical cable cross connecting box is obtained through numerical calculation, and cross characteristics of the optical cable cross connecting box are marked through the cross coefficient JC; acquiring internal temperature data NW, internal humidity data NS and an internal corrosion coefficient NF of the optical cable cross connecting cabinet, performing numerical calculation to obtain an internal ring coefficient NH, generating an operation normal signal, an external adjusting signal, a bidirectional adjusting signal or a line maintenance signal by combining the internal ring coefficient NH and the cross characteristic, and sending the operation normal signal, the external adjusting signal, the bidirectional adjusting signal or the line maintenance signal to a safety monitoring platform; generating an evaluation period, acquiring the times that the safety monitoring platform receives the line maintenance signal, the bidirectional regulating signal and the external regulating signal in the evaluation period, marking the times as a line value XL, a bidirectional value SX and an external value WB respectively, carrying out numerical calculation on the line value XL, the bidirectional value SX and the external value WB to obtain an evaluation coefficient PG, and judging whether the operation safety of the optical distribution box in the evaluation period meets the requirement or not through the evaluation coefficient PG.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: the formula jc=α1×jw+α2×js+α3×jf; collecting a plurality of groups of sample data by a person skilled in the art and setting corresponding cross coefficients for each group of sample data; substituting the set cross coefficient and the acquired sample data into a formula, forming a ternary one-time equation set by any three formulas, screening the calculated coefficient, and taking an average value to obtain values of alpha 1, alpha 2 and alpha 3 which are 3.54, 2.62 and 2.24 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding cross coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected, for example, the cross coefficient is in direct proportion to the value of the cross temperature data.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (7)
1. The optical cable cross connecting cabinet operation safety monitoring system based on the Internet of things is characterized by comprising a safety monitoring platform, wherein the safety monitoring platform is in communication connection with a cross analysis module, a safety monitoring module, a safety evaluation module and a storage module;
the cross analysis module is used for carrying out cross analysis on the internal environment and the external environment of the optical cable distribution box: acquiring cross temperature data JW, cross humidity data JS and cross corrosion data JF of an optical cable cross connecting cabinet; the method comprises the steps of obtaining a crossing coefficient JC of an optical cable cross-connecting cabinet by carrying out numerical calculation on cross-temperature data JW, cross-humidity data JS and cross-corrosion data JF; marking the cross characteristic of the optical cable distribution box as superposition or mirror image through a cross coefficient JC;
the safety monitoring module is used for monitoring and analyzing the operation safety of the optical cable cross connecting cabinet: acquiring internal temperature data NW, internal humidity data NS and internal corrosion coefficient NF of the optical cable cross connecting cabinet; the inner ring coefficient NH of the optical cable cross connecting cabinet is obtained by carrying out numerical calculation on the inner temperature data NW, the inner humidity data NS and the inner corrosion coefficient NF; the method comprises the steps that an inner ring threshold NHmax is obtained through a storage module, an inner ring coefficient NH of an optical cable cross connecting cabinet is compared with the inner ring threshold NHmax, and an operation normal signal, an external adjusting signal, a bidirectional adjusting signal or a line maintenance signal are generated through a comparison result and sent to a safety monitoring platform;
the safety evaluation module is used for evaluating and analyzing the operation safety of the optical cable cross connecting cabinet.
2. The optical cable cross-connecting cabinet operation safety monitoring system based on the internet of things according to claim 1, wherein the acquiring process of the cross-temperature data JW comprises: acquiring an internal air temperature value and an external air temperature value of the optical cable cross connecting cabinet, and marking the absolute value of the difference value between the internal air temperature value and the external air temperature value as cross temperature data JW;
the acquisition process of the traffic humidity data JS comprises the following steps: acquiring an internal air humidity value and an external air humidity value of the optical cable cross connecting cabinet, and marking the absolute value of the difference value between the internal air humidity value and the external air humidity value as cross wetting data JS;
the acquisition process of the cross-decay data JF comprises the following steps: the method comprises the steps of performing image shooting on the inner wall of a cable transfer box, marking the inner wall as an inner shot image, amplifying the inner shot image into a pixel grid image, performing gray level conversion, obtaining a gray level threshold value through a storage module, marking the pixel grid with the gray level value not smaller than the gray level threshold value as an inner corrosion grid, and marking the number ratio of the inner corrosion grid to the pixel grid as an inner corrosion coefficient; the outer surface of the optical cable distribution box is subjected to image shooting and marked as an outer shot image, the outer shot image is amplified into a pixel grid image and subjected to gray level conversion, the pixel grid with the gray level value not smaller than a gray level threshold value is marked as an outer corrosion grid, the number ratio of the outer corrosion grid to the pixel grid is marked as an outer corrosion coefficient, and the absolute value of the difference value between the inner corrosion coefficient and the outer corrosion coefficient is marked as cross corrosion data JF.
3. The system for monitoring the operation safety of the optical cable cross-connecting cabinet based on the internet of things according to claim 2, wherein the specific process of marking the cross characteristic of the optical cable cross-connecting cabinet comprises the following steps: the method comprises the steps that a crossing threshold value JCmax is obtained through a storage module, and a crossing coefficient JC of an optical cable cross connecting cabinet is compared with the crossing threshold value JCmax: if the crossing coefficient JC is smaller than the crossing threshold value JCmax, marking the crossing characteristic of the optical cable cross connecting cabinet as coincidence; if the crossing coefficient JC is greater than or equal to the crossing threshold value JCmax, marking the crossing characteristic of the optical cable cross connecting cabinet as a mirror image; and sending the cross characteristic of the optical cable cross connecting box to a safety monitoring platform, and sending the cross characteristic to a safety monitoring module after the safety monitoring platform receives the cross characteristic.
4. The optical cable cross-connecting box operation safety monitoring system based on the internet of things according to claim 3, wherein the process of acquiring the internal temperature data NW comprises the following steps: acquiring an internal air temperature value and an internal temperature range of the optical cable cross connecting cabinet, marking an average value of a maximum value and a minimum value of the internal temperature range as an internal temperature standard value, and marking an absolute value of a difference value between the internal air temperature value and the internal temperature standard value as internal temperature data NW; the acquisition process of the internal humidity data NS comprises the following steps: and acquiring an internal air humidity value and an internal humidity range of the optical cable cross connecting cabinet, marking an average value of the maximum value and the minimum value of the internal humidity range as an internal humidity standard value, and marking an absolute value of a difference value between the internal air humidity value and the internal humidity standard value as internal humidity data NS.
5. The system for monitoring the operation safety of the optical cable cross-connecting cabinet based on the internet of things according to claim 4, wherein the specific process of comparing the inner loop coefficient NH of the optical cable cross-connecting cabinet with the inner loop threshold NHmax comprises the following steps: if the inner ring coefficient NH is smaller than the inner ring threshold NHmax, judging that the internal operation environment of the optical cable cross connecting box meets the requirements, and simultaneously calling the cross characteristic of the optical cable cross connecting box: if the intersection characteristics are coincident, generating an operation normal signal and sending the operation normal signal to the safety monitoring platform; if the cross characteristic is a mirror image, generating an external adjusting signal and sending the external adjusting signal to the safety monitoring platform; if the inner ring coefficient NH is greater than or equal to the inner ring threshold NHmax, judging that the internal operation environment of the optical cable cross connecting cabinet does not meet the requirement, and simultaneously calling the cross characteristic of the optical cable cross connecting cabinet: if the intersection characteristics are coincident, generating a bidirectional regulating signal and sending the bidirectional regulating signal to a safety monitoring platform; if the cross feature is a mirror image, generating a line inspection signal and sending the line inspection signal to the safety monitoring platform.
6. The system for monitoring the operation safety of the optical cable cross-connecting cabinet based on the internet of things according to claim 5, wherein the specific process of the safety assessment module for assessing and analyzing the operation safety of the optical cable cross-connecting cabinet comprises the following steps: generating an evaluation period, acquiring the times that the safety monitoring platform receives the line maintenance signal, the bidirectional regulating signal and the external regulating signal in the evaluation period, marking the times as a line value XL, a bidirectional value SX and an external value WB respectively, and carrying out numerical calculation on the line value XL, the bidirectional value SX and the external value WB to obtain an evaluation coefficient PG of the optical cable cross connecting cabinet in the evaluation period; acquiring an evaluation threshold value PGmax through a storage module, and comparing an evaluation coefficient PG with the evaluation threshold value PGmax:
if the evaluation coefficient PG is smaller than the evaluation threshold PGmax, judging that the operation safety of the optical cable cross connecting cabinet in the evaluation period meets the requirement;
if the evaluation coefficient PG is greater than or equal to the evaluation threshold PGmax, judging that the operation safety of the optical cable cross connecting cabinet in the evaluation period does not meet the requirement, generating a safety early warning signal and sending the safety early warning signal to the safety monitoring platform.
7. The optical cable cross-connecting cabinet operation safety monitoring system based on the internet of things according to any one of claims 1-6, wherein the working method of the optical cable cross-connecting cabinet operation safety monitoring system based on the internet of things comprises the following steps:
step one: the method comprises the following steps of performing cross analysis on the internal environment and the external environment of the optical cable distribution box: acquiring cross temperature data JW, cross humidity data JS and cross corrosion data JF of the optical cable cross connecting box, performing numerical calculation to obtain a cross coefficient JC of the optical cable cross connecting box, and marking cross characteristics of the optical cable cross connecting box through the cross coefficient JC;
step two: monitoring and analyzing the operation safety of the optical cable cross connecting box: acquiring internal temperature data NW, internal humidity data NS and an internal corrosion coefficient NF of the optical cable cross connecting cabinet, performing numerical calculation to obtain an internal ring coefficient NH, generating an operation normal signal, an external adjusting signal, a bidirectional adjusting signal or a line maintenance signal by combining the internal ring coefficient NH and the cross characteristic, and sending the operation normal signal, the external adjusting signal, the bidirectional adjusting signal or the line maintenance signal to a safety monitoring platform;
step three: and (3) evaluating and analyzing the operation safety of the optical distribution box: generating an evaluation period, acquiring the times that the safety monitoring platform receives the line maintenance signal, the bidirectional regulating signal and the external regulating signal in the evaluation period, marking the times as a line value XL, a bidirectional value SX and an external value WB respectively, carrying out numerical calculation on the line value XL, the bidirectional value SX and the external value WB to obtain an evaluation coefficient PG, and judging whether the operation safety of the optical distribution box in the evaluation period meets the requirement or not through the evaluation coefficient PG.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311384538.2A CN117268471A (en) | 2023-10-25 | 2023-10-25 | Optical cable distributing box operation safety monitoring system based on Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311384538.2A CN117268471A (en) | 2023-10-25 | 2023-10-25 | Optical cable distributing box operation safety monitoring system based on Internet of things |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117268471A true CN117268471A (en) | 2023-12-22 |
Family
ID=89212381
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311384538.2A Pending CN117268471A (en) | 2023-10-25 | 2023-10-25 | Optical cable distributing box operation safety monitoring system based on Internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117268471A (en) |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107231197A (en) * | 2017-06-13 | 2017-10-03 | 苏州天穹通信科技有限公司 | Internet of things equipment |
| CN207588916U (en) * | 2017-11-10 | 2018-07-06 | 广州罗众信息科技有限公司 | A kind of communication box centralized monitoring system based on narrowband Internet of Things |
| CN111351633A (en) * | 2018-12-20 | 2020-06-30 | 中国移动通信集团四川有限公司 | Monitoring device, method, system, equipment and medium of optical fiber distribution box |
| CN114744734A (en) * | 2022-05-25 | 2022-07-12 | 深圳市今朝时代股份有限公司 | Battery operation control-based battery charging and discharging protection method and management system |
| CN114997791A (en) * | 2022-06-17 | 2022-09-02 | 石家庄邮电职业技术学院 | Express delivery box recovery management system based on big data |
| CN115248569A (en) * | 2022-09-21 | 2022-10-28 | 苏州梦涞信息科技有限公司 | Equipment monitoring system based on cloud computing |
| CN115649080A (en) * | 2022-09-08 | 2023-01-31 | 黄河科技学院 | Vehicle driving safety intelligent monitoring system based on image recognition |
| CN116148582A (en) * | 2023-03-02 | 2023-05-23 | 安徽兴晟电气设备有限公司 | Power switch cabinet monitoring early warning feedback system based on data analysis |
| CN116295664A (en) * | 2023-05-24 | 2023-06-23 | 无锡韩光电器股份有限公司 | Medium voltage power distribution cabinet |
| CN116300652A (en) * | 2023-04-06 | 2023-06-23 | 合肥元贞电力科技股份有限公司 | Power control cabinet on-line monitoring system based on data analysis |
| CN116593495A (en) * | 2023-07-17 | 2023-08-15 | 山西智合清浩环保技术服务有限公司 | Operation and maintenance intelligent control system and method for flue gas online monitoring equipment |
| CN116844315A (en) * | 2023-07-20 | 2023-10-03 | 深圳市两心科技有限公司 | Artificial intelligent early warning method, system and storage medium |
-
2023
- 2023-10-25 CN CN202311384538.2A patent/CN117268471A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107231197A (en) * | 2017-06-13 | 2017-10-03 | 苏州天穹通信科技有限公司 | Internet of things equipment |
| CN207588916U (en) * | 2017-11-10 | 2018-07-06 | 广州罗众信息科技有限公司 | A kind of communication box centralized monitoring system based on narrowband Internet of Things |
| CN111351633A (en) * | 2018-12-20 | 2020-06-30 | 中国移动通信集团四川有限公司 | Monitoring device, method, system, equipment and medium of optical fiber distribution box |
| CN114744734A (en) * | 2022-05-25 | 2022-07-12 | 深圳市今朝时代股份有限公司 | Battery operation control-based battery charging and discharging protection method and management system |
| CN114997791A (en) * | 2022-06-17 | 2022-09-02 | 石家庄邮电职业技术学院 | Express delivery box recovery management system based on big data |
| CN115649080A (en) * | 2022-09-08 | 2023-01-31 | 黄河科技学院 | Vehicle driving safety intelligent monitoring system based on image recognition |
| CN115248569A (en) * | 2022-09-21 | 2022-10-28 | 苏州梦涞信息科技有限公司 | Equipment monitoring system based on cloud computing |
| CN116148582A (en) * | 2023-03-02 | 2023-05-23 | 安徽兴晟电气设备有限公司 | Power switch cabinet monitoring early warning feedback system based on data analysis |
| CN116300652A (en) * | 2023-04-06 | 2023-06-23 | 合肥元贞电力科技股份有限公司 | Power control cabinet on-line monitoring system based on data analysis |
| CN116295664A (en) * | 2023-05-24 | 2023-06-23 | 无锡韩光电器股份有限公司 | Medium voltage power distribution cabinet |
| CN116593495A (en) * | 2023-07-17 | 2023-08-15 | 山西智合清浩环保技术服务有限公司 | Operation and maintenance intelligent control system and method for flue gas online monitoring equipment |
| CN116844315A (en) * | 2023-07-20 | 2023-10-03 | 深圳市两心科技有限公司 | Artificial intelligent early warning method, system and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114665611B (en) | Power distribution cabinet operation intelligent monitoring management system based on data analysis | |
| CN116050942B (en) | Fine use management system and management method for engineering construction materials | |
| CN115933508B (en) | Intelligent power operation and maintenance system for power distribution network | |
| CN114199962B (en) | Harmful gas analysis and monitoring system for livestock and poultry houses | |
| CN116184950B (en) | Multisource data extraction and analysis system for automobile production line | |
| CN115765159B (en) | Transmission line safety precaution system based on data analysis | |
| CN116028887B (en) | Analysis method of continuous industrial production data | |
| CN116885858B (en) | Power distribution network fault processing method and system based on digital twin technology | |
| CN115063100A (en) | Data analysis-based implementation cost management and control system for road construction project | |
| Song et al. | Deformable YOLOX: detection and rust warning method of transmission line connection fittings based on image processing technology | |
| CN114608741A (en) | Pressure sensor acquisition system based on big data | |
| CN117267861A (en) | Air conditioner outdoor fan fault prediction system based on Internet of things | |
| CN115951606A (en) | Intelligent factory production environment early warning processing method | |
| CN112749893B (en) | Data mining service platform based on cloud computing | |
| CN116844315A (en) | Artificial intelligent early warning method, system and storage medium | |
| CN117268471A (en) | Optical cable distributing box operation safety monitoring system based on Internet of things | |
| CN115153164A (en) | A healthy bracelet for high altitude safety work control | |
| CN115112183A (en) | System for detecting size of special-shaped mechanical part | |
| CN114942075A (en) | Power equipment fault detection and analysis method | |
| CN115510693B (en) | DC power distribution system converter parameter optimization design method | |
| CN116700092B (en) | Operation control intelligent early warning system suitable for industrial personal computer | |
| CN116523494B (en) | Electric power construction site safety supervision and management system | |
| CN117849556A (en) | Intelligent early warning system is put in office of driving motor position sensor | |
| CN117724928A (en) | Intelligent operation and maintenance visual monitoring method and system based on big data | |
| CN117031164B (en) | Dry-type air-core reactor operating temperature intelligent supervision system based on data analysis |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |