CN112235728A - Power communication network sensing method based on intelligent splice closure - Google Patents
Power communication network sensing method based on intelligent splice closure Download PDFInfo
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Abstract
The invention discloses a power communication network perception method based on an intelligent junction box, which comprises the following steps: deploying an intelligent junction box in the power communication network; sensing electric power communication information of a mounting point based on the intelligent splicing box; and transmitting the sensed electric power communication information to the Internet of things platform. The intelligent junction box comprises a power layer, a data acquisition layer, a service control layer and a data transmission layer; the data acquisition layer is used for acquiring real-time environmental data, position data, an optical cable line connection state and hardware information in the intelligent splice closure; the service control layer is used for receiving an instruction issued by the remote Internet of things platform and executing corresponding action; and the data transmission layer is used for storing and transmitting the acquired information. The intelligent sensing of the power communication network terminal is realized through the intelligent junction box, and data support and auxiliary decision are provided for operation and maintenance personnel through real-time environment and performance data monitoring and fault positioning based on optical power monitoring, so that the workload of the operation and maintenance personnel is reduced.
Description
Technical Field
The invention relates to a power communication network perception method based on an intelligent junction box, and belongs to the technical field of power information communication.
Background
The technology of the internet of things is a relatively mature technology, is widely applied to the field of intelligent management of an electric power system, overcomes the defects of traditional manual inspection, effectively avoids the potential safety hazards caused by the omission of inspection and other phenomena, and achieves the safety, scientific and effective management target of enterprises. However, the application of the internet of things technology in optical fiber resources and distribution systems thereof is still in an exploration phase, so that the intelligent sensing strategy of the terminal device based on the intelligent optical junction box becomes a key point of research on the power communication network, and has not only important theoretical significance, but also great practical value.
Disclosure of Invention
The invention aims to provide an electric power communication network perception method based on an intelligent junction box, which realizes intelligent perception of an electric power communication network through three strategies, namely a junction box distribution strategy, an intelligent perception strategy and data recovery.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
the invention provides an electric power communication network perception method based on an intelligent junction box, which comprises the following steps:
deploying an intelligent junction box in the power communication network;
sensing electric power communication information of a mounting point based on the intelligent splicing box;
and transmitting the sensed electric power communication information to the Internet of things platform.
Furthermore, the intelligent junction box comprises a power layer, a data acquisition layer, a service control layer and a data transmission layer;
the power supply layer adopts a disposable lithium battery to provide electric power support for the intelligent junction box;
the data acquisition layer is used for acquiring real-time environment data inside the intelligent splice closure, position data of the intelligent splice closure, the connection state of an optical cable line and the hardware states of each module of the data acquisition layer and each module of the power supply layer;
the service control layer is used for receiving an instruction issued by the remote Internet of things platform and executing corresponding action;
the data transmission layer is used for storing the information collected by the data collection layer and transmitting the information according to the instruction of the service control layer.
Furthermore, the data acquisition layer is provided with a temperature and humidity Sensor, a water seepage Sensor, a GPS, a nine-axis G-Sensor and an optical power meter;
the temperature and humidity sensor is used for acquiring real-time temperature and humidity data inside the intelligent splicing box;
the water seepage sensor is used for acquiring the water seepage condition inside the intelligent splicing box;
the GPS is used for acquiring the mounting position data of the intelligent splice closure;
the nine-axis G-Sensor is used for acquiring acceleration information of an optical cable line at the installation position of the intelligent splice closure;
the optical power meter is used for collecting the real-time optical power of the optical cable line at the installation position of the intelligent splice closure.
Further, the service control layer is specifically configured to,
and controlling the optical power meter to switch between an active lighting mode and a passive lighting mode according to an instruction issued by the remote Internet of things platform, and controlling the data transmission layer to report the acquired data according to the instruction issued by the remote Internet of things platform.
Further, the data transmission layer adopts NB-IoT for data transmission;
and the data transmission layer uploads the acquired data to the Internet of things platform in a JSON format.
Further, the deploying of the intelligent closure in the power communication network includes:
the intelligent splicing box adopts an even arrangement mode, and the joints of the two optical cable sections are welded at the two ends of the optical power meter in a fiber melting mode.
Further, deploying the intelligent closure in the power communication network further includes:
dividing the optical cable lines into A-type lines and B-type lines according to the importance degree;
for a type a line, the number of intelligent closure deployments is as follows:
nA＝α*(2LA/lAs)
wherein ,LA and lAsRespectively representing the distance of the A-type line and the shortest transmission distance of the intelligent junction box, nARepresenting the deployment amount of the intelligent splice closure in the A-type line; alpha is a correction coefficient;
for a type B line, the number of intelligent closure deployments is as follows:
wherein ,LB，lBS and lBLRespectively representing the distance of the B-type line, the shortest transmission distance of the intelligent junction box and the longest transmission distance of the intelligent junction box, nBRepresenting the deployment amount of the intelligent splice closure in the B-type line; beta is a correction coefficient.
Further, the power communication information based on the intelligent junction box sensing installation point comprises:
intelligence closure perception mounted position's environmental data, optical cable line connection state, position data and hardware information form the characteristic data and include: the system comprises an optical cable line connection state, temperature, humidity, water seepage, optical power, coordinate longitude and coordinate latitude, large-amplitude shaking, power supply residual electric quantity and hardware working states; whether the large-amplitude shaking occurs is judged according to acceleration information obtained by a nine-axis G-Sensor; the optical cable line connection state is judged according to the real-time optical power collected by the optical power meter; the working state of each hardware means that if each hardware module can collect data, the hardware module is normal, and if no data is collected, the hardware module is abnormal;
periodically collecting each type of characteristic data, and forming a matrix as follows:
wherein T (k) represents a sampling matrix formed by the k-th characteristic data, T (k)ijRepresenting the value collected in the jth collection period of the ith intelligent junction box for the kth characteristic data; i is 1,2, … n, n represents the deployment amount of the intelligent junction box in the line, and for the A-type line, n is nAFor class B lines, n is nB(ii) a j is 1,2, … m, m is the number of acquisition cycles, j is 1 represents the value acquired in the current acquisition cycle, j is 2 represents the value acquired in the current previous acquisition cycle, … …, j is m represents the value acquired in the current m-1 acquisition cycles;
in the matrix, each time data is collected, the data is deployed in the first column of the matrix, and the last column of the matrix is deleted at the same time, so that the n multiplied by m matrix is kept.
Further, the collection frequency of the periodic collection is 1 time per day;
the value of m is 30.
Further, if the data of a certain installation position cannot be sensed, recovering the missing data according to the following formula:
wherein ,
indicates to the k < th > speciesCharacteristic data, namely an estimated value of a q-th acquisition period acquisition value of a p-th intelligent splice closure;
H(k)pq and Q(k)pqCalculated by the following formula:
wherein γ is a weight of an estimated value of the node history data;
and if the data point is missing, adopting s-m-q-2, and the like.
The invention has the beneficial effects that:
the intelligent splice closure is arranged at the joint of the two optical cable sections, so that the intelligent perception of the power communication network terminal is enhanced, direct data support and auxiliary decision are provided for operation and maintenance personnel through real-time environment and performance data monitoring and fault location based on optical power monitoring, the workload of the operation and maintenance personnel is reduced, and certain economic benefit and social benefit are obtained.
Drawings
Fig. 1 is an intelligent closure architecture of the present invention.
Fig. 2 is a flowchart of a power communication network sensing method of the intelligent closure of the present invention.
Detailed Description
The invention is further described below. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
The invention provides an intelligent junction box, which is shown in figure 1 and comprises a power supply layer, a data acquisition layer, a service control layer and a data transmission layer.
Specifically, the power layer adopts disposable lithium batteries to provide electric power support for the intelligent junction box.
A data acquisition layer for acquiring real-time environmental data inside the intelligent splice closure, position data of the intelligent splice closure and the connection state of the optical cable line
Specifically, a temperature and humidity Sensor, a water seepage Sensor, a GPS, a nine-axis G-Sensor, an optical power meter and the like are deployed on the data acquisition layer;
the temperature and humidity sensor is used for acquiring real-time temperature and humidity data inside the intelligent splicing box;
the water seepage sensor is used for acquiring the water seepage condition inside the intelligent splicing box;
the GPS is used for acquiring the mounting position data of the intelligent splice closure;
the nine-axis G-Sensor is used for acquiring acceleration information at the position of the intelligent splice closure and judging whether the optical cable line at the installation position of the intelligent splice closure greatly shakes or not according to the acceleration;
the optical power meter is used for collecting real-time optical power of optical fibers at the installation position of the intelligent splice closure and judging the connection state of the optical cable line (if the optical power value is lower than a certain threshold value, the optical cable line is considered to be disconnected).
The data acquisition layer is also used for acquiring the residual electric quantity of the lithium battery and the working state of each hardware module (if each hardware module has no data feedback, the problem of hardware operation and transmission is judged).
The business control layer is used for remotely controlling the intelligent junction box and comprises the following steps: the optical power meter is actively and passively switched (the optical power meter comprises two modes, namely an active lighting mode and a passive lighting mode), and part or all of collected data is immediately reported. The implementation mode is that the instruction is issued through the Internet of things platform, and the main control chip executes the action after receiving the instruction.
And the data transmission layer is used for storing and transmitting the acquired real-time environment data, the position data of the intelligent splice closure, the connection state of the optical cable line and the hardware information.
Specifically, NB-IoT is adopted for data transmission, and the data is transmitted to the Internet of things platform through the GPRS Internet of things card in JSON data format.
The invention also provides a power communication network perception method based on the intelligent junction box, referring to fig. 2, comprising the following steps:
classifying the optical cable routes according to the evaluation of users;
specifically, if the cable line has a high importance or is complicated to operate and maintain, it is marked as "type a line", otherwise it is marked as "type B line". Generally speaking, the national tone, each large area and the provincial level backbone network are marked as class A, and other line markers are marked as class B, and specifically, dynamic adjustment can be performed according to the importance degree of the service.
Deploying an intelligent splice closure;
in particular, the method comprises the following steps of,
the intelligent splicing box is arranged at the joint of the two optical cable sections in an evenly-arranged mode through a fiber melting mode.
The intelligent splice closure has the same appearance as a general splice closure, a fastening component is added in the intelligent splice closure, an integrated chip is installed in the intelligent splice closure, an optical power meter is additionally installed at a fiber melting part, namely, the optical fibers at two ends are welded together by the traditional splice closure, and the optical fibers at two ends are welded at two ends of the optical power meter by the splice closure, so that the aim of collecting optical power is fulfilled.
For a type a line, when an optical cable is disconnected, two intelligent splicing boxes where breakpoints are located need to be determined as soon as possible through a connection state fed back by an optical power meter of the intelligent splicing box on the line. The B-type response level is low, and in order to control the cost, the deployment number of the intelligent junction boxes on the B-type line can be reduced.
Calculating the deployment amount of the intelligent splice closure in the type A line by the following formula:
nA＝α*(2LA/lAs)
wherein ,LA and lAsRespectively representing the distance of the A-type line and the shortest transmission distance of the intelligent junction box, nARepresenting the deployment amount of the intelligent junction box in the type A line. The default value of α is 1, which may be set by the operation and maintenance administrator to 1 to 1.5.
For the B-type line, the deployment amount of the intelligent splice closure is calculated by the following formula:
wherein ,LB，lBS and lBLRespectively representing the distance of the B-type line, the shortest transmission distance of the intelligent junction box and the longest transmission distance of the intelligent junction box, nBRepresenting the deployment amount of the intelligent junction box in the B-type line. The default value of β is 1, which can be adjusted between 1 and 1.2.
Sensing information of a mounting point based on the intelligent splicing box;
specifically, the intelligent splice closure senses environmental data of the installed position, the connection state of the optical cable line, position data, hardware information and the like. The method comprises the following characteristic data: temperature data, humidity data, whether water seepage occurs, light power, coordinate longitude and coordinate latitude, whether large-amplitude shaking occurs, power supply residual capacity and working states of various hardware.
Each type of data is periodically collected to form a matrix as follows:
wherein T (k) represents a sampling matrix formed by the k-th characteristic data, T (k)ijRepresenting the value collected in the jth collection period of the ith intelligent junction box for the kth characteristic data; i is 1,2, … n, n represents the deployment amount of the intelligent junction box in the line, and for the A-type line, n is nAFor class B lines, n is nB(ii) a j-1, 2, … m, m being the number of acquisition cycles, j-1 representing the value acquired in the current acquisition cycle, j-2 representing the value acquired in the current previous acquisition cycle, … …, j-m representing the value acquired in the current m-1 previous acquisition cycles.
Specifically, the frequency of collection was 1 time per day.
Specifically, the value of m is 30, that is, the matrix only maintains data within 30 days.
Further, the method also comprises a data maintenance strategy;
in the actual operation process of the intelligent junction box system of the power communication network, due to equipment failure or inefficacy, partial or even all data of some nodes may not be obtained. In order to ensure the integrity and the effectiveness of data, a data integrity maintenance strategy based on local historical data and adjacent equipment is provided:
wherein ,
and the estimated value of the q acquisition period acquisition value of the p intelligent junction box for the k characteristic data is shown.
H(k)pq and Q(k)pqCan be calculated by the following formula:
wherein gamma is the weight of the estimated value of the node historical data, the default value is 0.5, the value can be adjusted by a user, and the value range is 0-1;
and if the data point is missing, adopting s-m-q-2, and the like.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A power communication network perception method based on an intelligent junction box is characterized by comprising the following steps:
deploying an intelligent junction box in the power communication network;
sensing electric power communication information of a mounting point based on the intelligent splicing box;
and transmitting the sensed electric power communication information to the Internet of things platform.
2. The intelligent closure-based power communication network awareness method according to claim 1, wherein the intelligent closure comprises a power layer, a data acquisition layer, a service control layer and a data transmission layer;
the power supply layer adopts a disposable lithium battery to provide electric power support for the intelligent junction box;
the data acquisition layer is used for acquiring real-time environment data inside the intelligent splice closure, position data of the intelligent splice closure, the connection state of an optical cable line and the hardware states of each module of the data acquisition layer and each module of the power supply layer;
the service control layer is used for receiving an instruction issued by the remote Internet of things platform and executing corresponding action;
the data transmission layer is used for storing the information collected by the data collection layer and transmitting the information according to the instruction of the service control layer.
3. The intelligent splice closure-based power communication network sensing method according to claim 2, wherein the data acquisition layer is provided with a temperature and humidity Sensor, a water seepage Sensor, a GPS, a nine-axis G-Sensor and an optical power meter;
the temperature and humidity sensor is used for acquiring real-time temperature and humidity data inside the intelligent splicing box;
the water seepage sensor is used for acquiring the water seepage condition inside the intelligent splicing box;
the GPS is used for acquiring the mounting position data of the intelligent splice closure;
the nine-axis G-Sensor is used for acquiring acceleration information of an optical cable line at the installation position of the intelligent splice closure;
the optical power meter is used for collecting the real-time optical power of the optical cable line at the installation position of the intelligent splice closure.
4. A smart closure based power communication network aware method according to claim 2, wherein said traffic control layer is specifically configured to,
and controlling the optical power meter to switch between an active lighting mode and a passive lighting mode according to an instruction issued by the remote Internet of things platform, and controlling the data transmission layer to report the acquired data according to the instruction issued by the remote Internet of things platform.
5. The power communication network perception method based on the intelligent closure of claim 2, wherein the data transmission layer employs NB-IoT for data transmission;
and the data transmission layer uploads the acquired data to the Internet of things platform in a JSON format.
6. A smart closure based power communication network aware method according to claim 3, wherein deploying a smart closure in a power communication network comprises:
the intelligent splicing box adopts an even arrangement mode, and the joints of the two optical cable sections are welded at the two ends of the optical power meter in a fiber melting mode.
7. The intelligent closure-based power communication network aware method according to claim 6, wherein deploying an intelligent closure in a power communication network further comprises:
dividing the optical cable lines into A-type lines and B-type lines according to the importance degree;
for a type a line, the number of intelligent closure deployments is as follows:
nA＝α*(2LA/lAs)
wherein ,LA and lAsRespectively representing the distance of the A-type line and the shortest transmission distance of the intelligent junction box, nARepresenting the deployment amount of the intelligent splice closure in the A-type line; alpha is a correction coefficient;
for a type B line, the number of intelligent closure deployments is as follows:
wherein ,LB，lBS and lBLRespectively representing the distance of the B-type line, the shortest transmission distance of the intelligent junction box and the longest transmission distance of the intelligent junction box, nBRepresenting the deployment amount of the intelligent splice closure in the B-type line; beta is a correction coefficient.
8. A smart closure based power communication network aware method according to claim 7, wherein the smart closure aware installation point based power communication information comprises:
intelligence closure perception mounted position's environmental data, optical cable line connection state, position data and hardware information form the characteristic data and include: the system comprises an optical cable line connection state, temperature, humidity, water seepage, optical power, coordinate longitude and coordinate latitude, large-amplitude shaking, power supply residual electric quantity and hardware working states; whether the large-amplitude shaking occurs is judged according to acceleration information obtained by a nine-axis G-Sensor; the optical cable line connection state is judged according to the real-time optical power collected by the optical power meter; the working state of each hardware means that if each hardware module can collect data, the hardware module is normal, and if no data is collected, the hardware module is abnormal;
periodically collecting each type of characteristic data, and forming a matrix as follows:
wherein T (k) represents a sampling matrix formed by the k-th characteristic data, T (k)ijRepresenting the value collected in the jth collection period of the ith intelligent junction box for the kth characteristic data; i is 1,2, … n, n represents the deployment amount of the intelligent junction box in the line, and for the A-type line, n is nAFor class B lines, n is nB(ii) a j-1, 2, … m, m being the number of acquisition cycles, j-1 being the value acquired in the current acquisition cycle, j-2 being the value acquired in the current previous acquisition cycle, … …, j-being the value acquired in the previous acquisition cyclem represents the value acquired in the current m-1 acquisition periods;
in the matrix, each time data is collected, the data is deployed in the first column of the matrix, and the last column of the matrix is deleted at the same time, so that the n multiplied by m matrix is kept.
9. A smart closure based power communication network aware method according to claim 8, wherein the collection frequency of the periodic collection is 1 time per day;
the value of m is 30.
10. A smart closure based power communication network aware method according to claim 8, further comprising, if data at a certain installation location cannot be perceived, recovering the missing data according to the following formula:
wherein ,
the estimated value of the q-th acquisition period acquisition value of the p-th intelligent junction box for the k-th characteristic data is represented;
H(k)pq and Q(k)pqCalculated by the following formula:
wherein γ is a weight of an estimated value of the node history data;
and if the data point is missing, adopting s-m-q-2, and the like.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113905396A (en) * | 2021-09-10 | 2022-01-07 | 河南信安通信技术股份有限公司 | Mobile phone signal measuring equipment and method with LTE active and passive depth fusion |
| CN117156097A (en) * | 2023-11-01 | 2023-12-01 | 方图智能(深圳)科技集团股份有限公司 | Intelligent conference audio data processing method and system based on Internet of things perception |
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| CN113905396A (en) * | 2021-09-10 | 2022-01-07 | 河南信安通信技术股份有限公司 | Mobile phone signal measuring equipment and method with LTE active and passive depth fusion |
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| CN117156097B (en) * | 2023-11-01 | 2024-02-20 | 方图智能(深圳)科技集团股份有限公司 | Intelligent conference audio data processing method and system based on Internet of things perception |
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| CN112235728B (en) | 2023-05-16 |
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