CN116147572B - Antenna posture monitoring and early warning system based on Internet of things - Google Patents
Antenna posture monitoring and early warning system based on Internet of things Download PDFInfo
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Abstract
The invention discloses an antenna posture monitoring and early warning system based on the Internet of things, which comprises an antenna posture monitoring module, an antenna posture diagnosis module, an antenna posture early warning module and a server; the antenna attitude monitoring module is used for monitoring antenna attitude data in the antenna operation process and sending the antenna attitude data to the server; the antenna posture diagnosis module receives the antenna posture data transmitted by the server, the antenna posture diagnosis module identifies the antenna state based on the antenna posture data to obtain antenna abnormal state information, and the antenna posture diagnosis module transmits the antenna abnormal state information to the server; the antenna attitude early warning module receives the antenna abnormal state information transmitted by the server and early warns the antenna operation process; according to the method and the device, the antenna states in different early warning states can be identified according to the early warning level setting, and the antenna maintainers can maintain the antennas in different early warning levels orderly.
Description
Technical Field
The invention relates to the technical field of antenna gesture early warning, in particular to an antenna gesture monitoring and early warning system based on the Internet of things.
Background
Engineering parameters (antenna gesture) of the base station antenna mainly include hanging height, pitch angle, azimuth angle, roll angle, position longitude and latitude, and the like, and in antenna erection of outdoor communication, the antenna gesture has very important influence on signal coverage range and can further influence network communication quality, so that it is important to measure the antenna gesture.
In recent years, the accident of antenna collapse is increased, the daily life of people is seriously influenced, the deformation state of the antenna is required to be monitored in real time in order to cope with the hidden troubles, namely the inclination of the antenna, the inclination distance of a pole tower and the fluctuation swing track, the antenna is mainly monitored and maintained manually, the efficiency is low, the antenna state cannot be monitored in real time, serious problems are often caused, and the antenna is found out to be ineffective and timely.
The antenna attitude monitoring and early warning system based on the Internet of things is designed, deformation of an antenna is identified through quantification, and data instantaneity, effectiveness and early warning automation are improved.
Disclosure of Invention
The invention aims to provide an antenna attitude monitoring and early warning system based on the Internet of things, which comprises the steps of acquiring initial distance data and angle data when an antenna is installed by adopting a distance sensor and an angle sensor, acquiring the distance data and the angle data when the antenna is operated in real time by the distance sensor and the angle sensor, processing the distance data and the angle data when the antenna is operated and the initial distance data and the angle data to obtain antenna attitude data, identifying the ground soil layer state of the abnormal azimuth of the antenna based on the antenna attitude data, and carrying out early warning based on the ground soil layer state and the environmental information of an antenna installation area.
The technical problems solved by the invention are as follows:
the aim of the invention can be achieved by the following technical scheme:
an antenna posture monitoring and early warning system based on the Internet of things comprises an antenna posture monitoring module, an antenna posture diagnosis module, an antenna posture early warning module and a server:
the antenna attitude monitoring module is used for monitoring antenna attitude data in the antenna operation process and sending the antenna attitude data to the server;
the antenna posture diagnosis module receives the antenna posture data transmitted by the server, and the antenna posture diagnosis module identifies the antenna state based on the antenna posture data to obtain antenna abnormal state information, and the antenna posture diagnosis module transmits the antenna abnormal state information to the server;
and the antenna gesture early warning module receives the antenna abnormal state information transmitted by the server and carries out level early warning on the antenna operation process.
As a further scheme of the invention: the antenna attitude monitoring module comprises a distance monitoring unit and an angle monitoring unit;
the distance monitoring unit is used for monitoring the height of the antenna installation base surface during operation;
the angle monitoring unit is used for monitoring the deflection angle of the antenna during operation.
As a further scheme of the invention: the distance monitoring unit comprises four distance sensors, the four distance sensors are respectively arranged on the periphery of the top of the antenna according to an annular array, and the four distance sensors are located at the same height at the top of the antenna.
As a further scheme of the invention: the distance sensor is used for monitoring the distance between the installation position of the distance sensor and the installation reference surface of the antenna in the initial state and the running state of the antenna;
marking the monitored initial distance as Hi, marking the monitored real-time distance as Hi, and making a difference between the real-time distance of the distance sensor monitoring antenna and the initial distance to obtain a distance difference Hhi =I is the distance sensor number.
As a further scheme of the invention: the angle monitoring unit comprises four angle sensors which are respectively arranged around the top of the antenna according to an annular array and are adjacent to the distance sensors;
the angle sensor is used for monitoring the angles between the installation position of the angle sensor and the installation reference surface of the antenna in the initial state and the running state of the antenna;
the monitored initial angle is marked as Jk, the monitored real-time angle is marked as Jk, and the real-time angle of the antenna monitored by the angle sensor is different from the initial angle, so that the angle difference Jjk = is obtainedK is the angle sensor number.
As a further scheme of the invention: the antenna attitude monitoring module performs weighting processing on a distance difference Hhi of the antenna in the operation process and an angle difference Jjk of the antenna in the operation process, assigns a weight ratio of a distance difference Hhi of the antenna in the operation process to be P1, and assigns a weight ratio of an angle difference Jjk of the antenna in the operation process to be P2, wherein P1+P2=1 and P2< P1, and calculates antenna attitude data Xi of the antenna operation according to a formula xi= Hhi +P1+ Jjk.
As a further scheme of the invention: the processing procedure of the line gesture diagnosis module to the antenna gesture data is as follows:
s1: the antenna posture diagnosis module numbers the received antenna posture data according to the azimuth, and the antenna posture data are respectively marked as X1, X2, X3 and X4;
s2: acquiring an antenna attitude data variance and an antenna attitude data mean value in the running process of the antenna according to the antenna attitude data of each azimuth obtained in the step S1;
marking the antenna gesture data variance as Xf and marking the antenna gesture data mean value as Xp;
s3: the antenna attitude diagnosis module receives a preset mean value threshold and a preset variance threshold of antenna attitude data transmitted by a server, marks the preset mean value threshold as Xpy, and marks the preset variance threshold as Xfy;
s4: comparing the antenna gesture data variance with a preset variance threshold of the antenna gesture data;
when the antenna attitude data variance Xf is more than or equal to the antenna attitude data annoyance preset variance threshold Xfy, generating an antenna operation abnormal signal;
when the antenna attitude data variance Xf is smaller than the antenna attitude data annoyance preset variance threshold Xfy, generating an antenna operation normal signal;
s5: when the antenna attitude diagnosis module obtains an antenna operation abnormal signal, the antenna attitude data of each azimuth and the average value of the antenna attitude data are subjected to primary difference value obtained by difference, and the primary difference value is marked as Xpg; comparing the first order difference Xpg with a preset mean threshold Xpy;
marking the azimuth of the first-order difference value Xpg smaller than the preset average value threshold Xpy as a normal azimuth;
and marking the azimuth with the first-level difference value Xpg larger than or equal to a preset average value threshold Xpy as an abnormal azimuth.
As a further scheme of the invention: according to the abnormal azimuth of the antenna, the antenna attitude data of the abnormal azimuth is called;
performing difference processing on antenna attitude data of each day of abnormal azimuth and initial antenna attitude data of the abnormal azimuth, and when the difference between the antenna attitude data of each day and the initial antenna attitude data is in linear change in a continuous period, indicating that the ground soil layer of the abnormal azimuth is continuously increased or continuously reduced, so as to obtain antenna abnormal state information;
when the difference value between the daily antenna attitude data and the initial antenna attitude data is in discrete distribution in a continuous period, the loss or aggregation state of the ground soil layer in the abnormal azimuth is indicated to be normal, and a normal signal is generated.
As a further scheme of the invention: the antenna gesture early warning module comprises a historical data acquisition unit and a geographic data acquisition unit;
after the antenna attitude early warning module receives the antenna abnormal state information transmitted by the server, historical data of the antenna erection area are collected through the historical data collection unit, and geographic data of the antenna erection area are collected through the geographic data collection unit.
As a further scheme of the invention: the antenna gesture early warning module processes the historical data and the geographic data acquired by the historical data acquisition unit and the geographic data acquisition unit to obtain an environment early warning value of the antenna, and carries out level early warning on the abnormal state information of the antenna according to the environment early warning value.
The invention has the beneficial effects that:
according to the invention, the distance sensors and the angle sensors are arranged on four directions of the antenna, initial distance data and angle data when the antenna is installed are obtained through the distance sensors and the angle sensors, distance data and angle data when the antenna is operated are obtained in real time through the distance sensors and the angle sensors, the distance data and the angle data when the antenna is operated are processed with the initial distance data and the angle data to obtain antenna posture data, and the ground soil layer state of the abnormal direction of the antenna is identified based on the antenna posture data, so that the state of water loss and soil erosion or increase of an antenna installation base surface is obtained;
according to the method, the historical data geographic data of geological disasters of the antenna erection area are analyzed and processed by combining the antenna abnormal state information of the antenna abnormal azimuth, the current environment early warning value of the antenna erection area is obtained, the early warning level is set according to the environment early warning value, so that the early warning of the abnormal antenna installation position is realized, the identification of the antenna state in different early warning states is realized according to the early warning level setting, and the orderly maintenance of antennas in different early warning levels by antenna maintainers is realized.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of the flow chart of the present invention.
Description of the embodiments
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but 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.
Referring to fig. 1, the invention discloses an antenna gesture monitoring and early warning system based on the internet of things, which comprises an antenna gesture monitoring module, an antenna gesture diagnosis module, an antenna gesture early warning module and a server;
the antenna gesture monitoring module, the antenna gesture diagnosis module and the antenna gesture early warning module are electrically connected with the server;
the antenna attitude monitoring module is used for monitoring antenna attitude data in the antenna operation process and sending the antenna attitude data to the server;
the antenna posture diagnosis module receives the antenna posture data transmitted by the server, the antenna posture diagnosis module identifies the antenna state based on the antenna posture data to obtain antenna abnormal state information, and the antenna posture diagnosis module transmits the antenna abnormal state information to the server;
the antenna attitude early warning module receives the antenna abnormal state information transmitted by the server and early warns the antenna operation process.
The antenna attitude monitoring module comprises a distance monitoring unit and an angle monitoring unit;
the distance monitoring unit comprises four distance sensors which are respectively arranged on the periphery of the top of the antenna according to an annular array, and the four distance sensors are positioned at the same height on the top of the antenna and used for monitoring the distance between the antenna and the ground;
the distance sensor is used for monitoring the initial distance between the installation position of the distance sensor and the installation reference surface of the antenna in the initial state of the antenna, the initial distance is marked as Hi, i is the number of the distance sensor, and the initial distances monitored by the four distance sensors are respectively marked as H1, H2, H3 and H4;
the distance sensors are used for monitoring real-time distances between the mounting positions of the distance sensors and the mounting reference surface of the antenna in the running state of the antenna, the real-time distances are marked as hi, i is the number of the distance sensors, and the real-time distances monitored by the four distance sensors are respectively marked as h1, h2, h3 and h4;
the real-time distance of the monitoring antenna of the distance sensor is differed from the initial distance to obtain a distance difference Hhi =I is the number of the distance sensor, and the distances monitored by the four distance sensors are respectively recorded as Hh1, hh2, hh3 and Hh4;
the angle monitoring unit comprises four angle sensors which are respectively arranged on the periphery of the top of the antenna according to an annular array and are adjacent to the distance sensors and used for monitoring the inclination of the antenna;
the angle sensor is used for monitoring initial angles of the installation position of the angle sensor and the installation reference surface of the antenna in an initial state of the antenna, the initial angles are marked as Jk, k is the number of the angle sensor, and the initial angles monitored by the four angle sensors are respectively marked as J1, J2, J3 and J4;
the angle sensor is used for monitoring real-time angles of the installation position of the angle sensor and the installation reference surface of the antenna in the running state of the antenna, the real-time angles are marked as jk, k is the number of the angle sensor, and the real-time angles monitored by the four angle sensors are respectively marked as j1, j2, j3 and j4;
the real-time angle of the angle sensor monitoring antenna is differed from the initial angle to obtain an angle difference Jjk =K is the number of the angle sensors, and the angle differences monitored by the four angle sensors are respectively recorded as Jj1, jj2, jj3 and Jj4;
and (3) carrying out weighting treatment on the distance difference Hhi of the antenna in the operation process and the angle difference Jjk of the antenna in the operation process, distributing the weight ratio of the distance difference Hhi of the antenna in the operation process to be P1, and distributing the weight ratio of the angle difference Jjk of the antenna in the operation process to be P2, wherein P1+P2=1 and P2< P1, and calculating according to the formula xi= Hhi, P1+ Jjk, and obtaining antenna attitude data Xi of the antenna operation.
And the antenna posture monitoring module uploads antenna posture data Xi of the monitored antenna operation to a server.
The antenna posture diagnosis module receives the antenna posture data transmitted by the server, and the antenna posture data is processed as follows:
s1: the antenna posture diagnosis module numbers the received antenna posture data according to the azimuth, and the antenna posture data are respectively marked as X1, X2, X3 and X4;
s2: acquiring an antenna attitude data variance and an antenna attitude data mean value in the running process of the antenna according to the antenna attitude data of each azimuth obtained in the step S1;
marking the antenna gesture data variance as Xf and marking the antenna gesture data mean value as Xp;
s3: the antenna attitude diagnosis module receives a preset mean value threshold and a preset variance threshold of antenna attitude data transmitted by a server, marks the preset mean value threshold as Xpy, and marks the preset variance threshold as Xfy;
s4: comparing the antenna gesture data variance with a preset variance threshold of the antenna gesture data;
when the antenna attitude data variance Xf is more than or equal to the antenna attitude data annoyance preset variance threshold Xfy, generating an antenna operation abnormal signal;
when the antenna attitude data variance Xf is smaller than the antenna attitude data annoyance preset variance threshold Xfy, generating an antenna operation normal signal;
s5: when the antenna attitude diagnosis module obtains an antenna operation abnormal signal, the antenna attitude data of each azimuth and the average value of the antenna attitude data are subjected to primary difference value obtained by difference, and the primary difference value is marked as Xpg; comparing the first order difference Xpg with a preset mean threshold Xpy;
marking the azimuth of the first-order difference value Xpg smaller than the preset average value threshold Xpy as a normal azimuth;
the azimuth with the first-level difference value Xpg being more than or equal to a preset average value threshold Xpy is marked as an abnormal azimuth, and antenna attitude data of the abnormal azimuth are called;
performing difference processing on antenna attitude data of each day of the abnormal azimuth and initial antenna attitude data of the abnormal azimuth, and when the difference between the antenna attitude data of each day and the initial antenna attitude data is in linear change in a continuous period (continuous increment or continuous decrement), indicating that the ground soil layer of the abnormal azimuth is continuously increased or continuously decreased, so as to obtain antenna abnormal state information;
when the difference value between the daily antenna attitude data and the initial antenna attitude data is in discrete distribution in a continuous period, the ground soil layer loss or aggregation state of the abnormal azimuth is indicated to be normal, and a normal signal is generated;
and the antenna attitude diagnosis module sends the obtained antenna abnormal state information to a server.
The antenna posture early warning module comprises a historical data acquisition unit and a geographic data acquisition unit, and acquires the historical data of the antenna erection area through the historical data acquisition unit after the antenna posture early warning module receives the antenna abnormal state information transmitted by the server, and acquires the geographic data of the antenna erection area through the geographic data acquisition unit;
specific:
the total release times, the time period number of the geological disasters and the hazard degree of the geological disasters aiming at the records of the geological disasters in the area where the antenna area is located are respectively marked as、/>And->By the formulaAcquiring a history factor G of a monitoring area, wherein +.>Is a specific proportionality coefficient, and->；
S2: the average altitude, vegetation area and rainfall of the antenna area are collected by a geographic data collecting unit and are respectively marked as、/>And->By the formula->Acquiring a geographical factor D of the monitored area, wherein ∈>Is a specific proportionality coefficient;
s3: for a pair ofWeighting the history factor G of the antenna area and the geographical factor D of the antenna area to divide the weight duty ratio of the history factor G intoThe weight ratio of the geographic factor D is divided into +.>Wherein K1 and K2 are both greater than 0, and K2 is greater than K1;
by the formulaAcquiring an environment early warning value Li of an antenna area;
after the antenna attitude early warning module receives the abnormal state information of the antenna, the antenna attitude early warning module carries out early warning on the running state of the antenna;
the specific early warning steps are as follows:
setting early warning icons of different colors corresponding to environment early warning values Li of an antenna area, wherein the early warning icons comprise red, yellow and green, each color of emergency icon corresponds to an early warning coefficient, the data range corresponding to the green is [ L1, L2 ], the numerical range corresponding to the yellow is [ L2, L3 ], the numerical range corresponding to the red is [ L3, L4), and L1< L2< L3< L4;
when Li epsilon [ L1, L2), the icon is assigned a green color; when Li epsilon [ L2, L3), the icon is assigned a yellow color; when Li epsilon [ L3, L4), the icon is assigned a red color; wherein,
when the antenna gesture early-warning module receives the red warning instruction, the antenna gesture early-warning module sends out a red warning signal and sends the red warning signal to the server;
when the antenna gesture early-warning module receives the yellow warning instruction, the antenna gesture early-warning module sends out a yellow warning signal and sends the yellow warning signal to the server;
when the antenna gesture early-warning module receives the green warning instruction, the antenna gesture early-warning module sends a green safety signal and sends the green safety signal to the server.
The server comprises an alarm unit, and the server alarms the received red alarm and yellow alarm through the alarm unit, wherein the emergency degree of the red alarm is higher than that of the yellow alarm.
One of the core points of the present invention is: acquiring initial distance data and angle data of an antenna during installation by adopting a distance sensor and an angle sensor, acquiring the distance data and the angle data of the antenna during operation in real time by the distance sensor and the angle sensor, processing the distance data and the angle data of the antenna during operation and the initial distance data and the angle data to obtain antenna attitude data, and identifying the ground soil layer state of the abnormal azimuth of the antenna based on the antenna attitude data so as to acquire the state of water loss or soil erosion of an installation base surface of the antenna;
the second core point of the invention is: in combination with the antenna abnormal state information of the antenna abnormal azimuth, historical data (total times of release of geological disaster records, time period number of the geological disaster and hazard degree of the geological disaster) and geographic data (average altitude, vegetation area and rainfall of the antenna area) of the geological disaster of the antenna erection area are analyzed and processed, a current environment early warning value of the antenna erection area is obtained, early warning level is set according to the size of the environment early warning value, and therefore early warning of an abnormal antenna installation position is achieved, recognition of the antenna state in different early warning states is achieved according to the early warning level setting, and orderly maintenance of antennas of different early warning levels by antenna maintainers is achieved.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (3)
1. An antenna posture monitoring and early warning system based on the Internet of things is characterized by comprising an antenna posture monitoring module, an antenna posture diagnosis module, an antenna posture early warning module and a server:
the antenna attitude monitoring module is used for monitoring antenna attitude data in the antenna operation process and sending the antenna attitude data to the server;
the antenna posture diagnosis module receives the antenna posture data transmitted by the server, and the antenna posture diagnosis module identifies the antenna state based on the antenna posture data to obtain antenna abnormal state information, and the antenna posture diagnosis module transmits the antenna abnormal state information to the server;
the antenna attitude early warning module receives the antenna abnormal state information transmitted by the server and carries out level early warning on the antenna operation process;
the antenna attitude monitoring module comprises a distance monitoring unit and an angle monitoring unit;
the distance monitoring unit is used for monitoring the height of the antenna installation base surface during operation;
the angle monitoring unit is used for monitoring the deflection angle of the antenna during operation;
the distance monitoring unit comprises four distance sensors which are respectively arranged around the top of the antenna according to an annular array, and the four distance sensors are positioned at the same height at the top of the antenna;
the distance sensor is used for monitoring the distance between the installation position of the distance sensor and the installation reference surface of the antenna in the initial state and the running state of the antenna;
marking the monitored initial distance as Hi, marking the monitored real-time distance as Hi, and making a difference between the real-time distance of the distance sensor monitoring antenna and the initial distance to obtain a distance difference Hhi =I is the number of the distance sensor;
the angle monitoring unit comprises four angle sensors which are respectively arranged around the top of the antenna according to an annular array and are adjacent to the distance sensors;
the angle sensor is used for monitoring the angles between the installation position of the angle sensor and the installation reference surface of the antenna in the initial state and the running state of the antenna;
will monitorThe initial angle of the antenna is marked as Jk, the monitored real-time angle is marked as Jk, and the real-time angle of the antenna monitored by the angle sensor is different from the initial angle, so as to obtain an angle difference Jjk =K is the number of the angle sensor;
the antenna attitude monitoring module performs weighting processing on a distance difference Hhi of the antenna in the operation process and an angle difference Jjk of the antenna in the operation process, assigns a weight ratio of a distance difference Hhi of the antenna in the operation process to be P1, assigns a weight ratio of an angle difference Jjk of the antenna in the operation process to be P2, wherein P1+P2=1 and P2< P1, and calculates antenna attitude data Xi of the antenna operation according to a formula xi= Hhi +P1+ Jjk;
the processing procedure of the line gesture diagnosis module to the antenna gesture data is as follows:
s1: the antenna posture diagnosis module numbers the received antenna posture data according to the azimuth, and the antenna posture data are respectively marked as X1, X2, X3 and X4;
s2: acquiring an antenna attitude data variance and an antenna attitude data mean value in the running process of the antenna according to the antenna attitude data of each azimuth obtained in the step S1;
marking the antenna gesture data variance as Xf and marking the antenna gesture data mean value as Xp;
s3: the antenna attitude diagnosis module receives a preset mean value threshold and a preset variance threshold of antenna attitude data transmitted by a server, marks the preset mean value threshold as Xpy, and marks the preset variance threshold as Xfy;
s4: comparing the antenna gesture data variance with a preset variance threshold of the antenna gesture data;
when the antenna attitude data variance Xf is more than or equal to the antenna attitude data annoyance preset variance threshold Xfy, generating an antenna operation abnormal signal;
when the antenna attitude data variance Xf is smaller than the antenna attitude data annoyance preset variance threshold Xfy, generating an antenna operation normal signal;
s5: when the antenna attitude diagnosis module obtains an antenna operation abnormal signal, the antenna attitude data of each azimuth and the average value of the antenna attitude data are subjected to primary difference value obtained by difference, and the primary difference value is marked as Xpg; comparing the first order difference Xpg with a preset mean threshold Xpy;
marking the azimuth of the first-order difference value Xpg smaller than the preset average value threshold Xpy as a normal azimuth;
marking the azimuth with the first-level difference value Xpg being more than or equal to a preset average value threshold Xpy as an abnormal azimuth;
according to the abnormal azimuth of the antenna, the antenna attitude data of the abnormal azimuth is called;
performing difference processing on antenna attitude data of each day of abnormal azimuth and initial antenna attitude data of the abnormal azimuth, and when the difference between the antenna attitude data of each day and the initial antenna attitude data is in linear change in a continuous period, indicating that the ground soil layer of the abnormal azimuth is continuously increased or continuously reduced, so as to obtain antenna abnormal state information;
when the difference value between the daily antenna attitude data and the initial antenna attitude data is in discrete distribution in a continuous period, the loss or aggregation state of the ground soil layer in the abnormal azimuth is indicated to be normal, and a normal signal is generated.
2. The antenna posture monitoring and early warning system based on the internet of things according to claim 1, wherein the antenna posture early warning module comprises a historical data acquisition unit and a geographic data acquisition unit;
after the antenna attitude early warning module receives the antenna abnormal state information transmitted by the server, historical data of the antenna erection area are collected through the historical data collection unit, and geographic data of the antenna erection area are collected through the geographic data collection unit.
3. The antenna posture monitoring and early warning system based on the internet of things according to claim 2, wherein the antenna posture early warning module processes historical data and geographic data acquired by the historical data acquisition unit and the geographic data acquisition unit to obtain an environment early warning value of the antenna, and performs level early warning on abnormal state information of the antenna according to the environment early warning value.
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| CN202310424069.6A CN116147572B (en) | 2023-04-20 | 2023-04-20 | Antenna posture monitoring and early warning system based on Internet of things |
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| CN202310424069.6A CN116147572B (en) | 2023-04-20 | 2023-04-20 | Antenna posture monitoring and early warning system based on Internet of things |
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| CN116147572B true CN116147572B (en) | 2024-02-06 |
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