WO2023066186A1

WO2023066186A1 - Weather sensing method, and device

Info

Publication number: WO2023066186A1
Application number: PCT/CN2022/125612
Authority: WO
Inventors: 丁圣利; 姜大洁
Original assignee: 维沃移动通信有限公司
Priority date: 2021-10-22
Filing date: 2022-10-17
Publication date: 2023-04-27
Also published as: CN116027458A

Abstract

A weather sensing method (200), and a device, which belong to the technical field of communications. The weather sensing method (200) comprises: a first communication node determining a meteorological attenuation correction value (S202), wherein the meteorological attenuation correction value is used for correcting a meteorological attenuation measurement value so as to obtain a corrected meteorological attenuation value, and the corrected meteorological attenuation value is used for determining a weather index value.

Description

Weather sensing method and device

cross reference

The present invention claims priority to a Chinese patent application filed with the China Patent Office on October 22, 2021, with application number 202111235201.6, and titled "Weather Sensing Method and Device", the entire contents of which are incorporated herein by reference .

technical field

The present application belongs to the technical field of communication, and specifically relates to a weather sensing method and device, and the device may include a weather sensing device, a terminal or a network side device, and the like.

Background technique

It is a low-cost, high-time and space-resolution way to sense weather (such as air humidity, rainfall, etc.) by using the signal power attenuation received by the cellular communication base station. However, there are many non-ideal factors affecting the performance of weather perception in practical applications, resulting in poor performance of weather perception.

Contents of the invention

Embodiments of the present application provide a weather sensing method and device, which can solve the problem of poor weather sensing performance caused by non-ideal factors in the weather sensing process.

In a first aspect, a weather perception method is provided, including: a first communication node determines a weather attenuation correction value; wherein the weather attenuation correction value is used to correct a weather attenuation measurement value to obtain a corrected weather attenuation value, The corrected weather attenuation value is used to determine the weather index value.

In a second aspect, a weather sensing device is provided, including: a determination module configured to determine a weather attenuation correction value; wherein the weather attenuation correction value is used to correct the weather attenuation measurement value to obtain a corrected weather attenuation value , the corrected weather attenuation value is used to determine the weather index value.

In a third aspect, a communication device is provided, which includes a processor, a memory, and a program or instruction stored in the memory and operable on the processor, and the program or instruction is executed by the processor During execution, the method described in the first aspect is realized.

In a fourth aspect, a communication device is provided, including a processor and a communication interface, wherein the processor or the communication interface is used to determine a weather attenuation correction value; wherein the weather attenuation correction value is used to measure the weather attenuation Correction is performed to obtain a corrected meteorological attenuation value, and the corrected meteorological attenuation value is used to determine a weather index value.

In a fifth aspect, a readable storage medium is provided, where a program or an instruction is stored on the readable storage medium, and when the program or instruction is executed by a processor, the method as described in the first aspect is implemented.

A sixth aspect provides a chip, the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the method as described in the first aspect .

In a seventh aspect, a computer program/program product is provided, the computer program/program product is stored in a non-transitory storage medium, and the computer program/program product is executed by at least one processor to implement the first method described in the aspect.

In the embodiment of the present application, the first communication node determines the weather attenuation correction value, so that when the received signal power attenuation of the cellular communication base station is used for weather perception, the weather attenuation measurement value can be corrected by the weather attenuation correction value to obtain the correction After the meteorological attenuation value, and determine the weather index value according to the revised meteorological attenuation value. Through the above weather attenuation correction value, the error in the weather perception of the cellular communication base station can be reduced as much as possible, and the weather perception performance can be improved.

Description of drawings

FIG. 1 is a schematic diagram of a wireless communication system according to an embodiment of the present application;

Fig. 2 is a schematic flowchart of a weather perception method according to an embodiment of the present application;

FIG. 3 is a schematic diagram of a specific application of a weather perception method according to an embodiment of the present application;

FIG. 4 is a schematic diagram of a specific application of a weather perception method according to an embodiment of the present application;

FIG. 5 is a schematic diagram of a specific application of a weather perception method according to an embodiment of the present application;

FIG. 6 is a schematic diagram of a specific application of a weather perception method according to an embodiment of the present application;

FIG. 7 is a schematic diagram of a specific application of a weather perception method according to an embodiment of the present application;

FIG. 8 is a schematic diagram of a specific application of a weather perception method according to an embodiment of the present application;

FIG. 9 is a schematic structural diagram of a weather sensing device according to an embodiment of the present application;

FIG. 10 is a schematic structural diagram of a communication device according to an embodiment of the present application;

FIG. 11 is a schematic structural diagram of a terminal according to an embodiment of the present application;

Fig. 12 is a schematic structural diagram of a network side device according to an embodiment of the present application.

Detailed ways

The following will clearly describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, but not all of them. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments in this application belong to the protection scope of this application.

The terms "first", "second" and the like in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific sequence or sequence. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application are capable of operation in sequences other than those illustrated or described herein and that "first" and "second" distinguish objects. It is usually one category, and the number of objects is not limited. For example, there may be one or more first objects. In addition, "and/or" in the description and claims means at least one of the connected objects, and the character "/" generally means that the related objects are an "or" relationship.

It is worth noting that the technology described in the embodiment of this application is not limited to the Long Term Evolution (Long Term Evolution, LTE)/LTE-Advanced (LTE-Advanced, LTE-A) system, and can also be used in other wireless communication systems, such as code Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA), Orthogonal Frequency Division Multiple Access, OFDMA), Single carrier-Frequency Division Multiple Access (Single carrier-Frequency Division Multiple Access, SC-FDMA) and other systems. The terms "system" and "network" in the embodiments of the present application are often used interchangeably, and the described technology can be used for the above-mentioned system and radio technology, and can also be used for other systems and radio technologies. The following description describes the New Radio (New Radio, NR) system for exemplary purposes, and uses NR terminology in most of the following descriptions, and these technologies can also be applied to applications other than NR system applications, such as the 6th Generation (6 ^th Generation , 6G) communication system.

Fig. 1 shows a schematic diagram of a wireless communication system to which this embodiment of the present application is applicable. The wireless communication system includes a terminal 11 and a network side device 12 . Wherein, the terminal 11 can also be called a terminal device or a user terminal (User Equipment, UE), and the terminal 11 can be a mobile phone, a tablet computer (Tablet Personal Computer), a laptop computer (Laptop Computer) or a notebook computer, a personal digital Assistant (Personal Digital Assistant, PDA), handheld computer, netbook, ultra-mobile personal computer (ultra-mobile personal computer, UMPC), mobile internet device (Mobile Internet Device, MID), augmented reality (augmented reality, AR)/virtual reality (virtual reality, VR) equipment, robots, wearable devices (Wearable Device), vehicle-mounted equipment (VUE), pedestrian terminal (PUE), smart home (home equipment with wireless communication functions, such as refrigerators, TVs, washing machines or furniture etc.) and other terminal-side devices, wearable devices include: smart watches, smart bracelets, smart headphones, smart glasses, smart jewelry (smart bracelets, smart bracelets, smart rings, smart necklaces, smart anklets, smart anklets, etc.) , smart wristbands, smart clothing, game consoles, etc. It should be noted that, the embodiment of the present application does not limit the specific type of the terminal 11 . The network side device 12 may be a base station or a core network, where a base station may be called a node B, an evolved node B, an access point, a base transceiver station (Base Transceiver Station, BTS), a radio base station, a radio transceiver, a basic service Basic Service Set (BSS), Extended Service Set (ESS), Node B, Evolved Node B (eNB), Next Generation Node B (gNB), Home Node B, Home Evolved Node B, WLAN Access point, WiFi node, Transmitting Receiving Point (Transmitting Receiving Point, TRP) or some other suitable term in the field, as long as the same technical effect is achieved, the base station is not limited to specific technical terms. It should be noted that, In the embodiment of the present application, only the base station in the NR system is taken as an example, but the specific type of the base station is not limited.

The weather perception method and device provided by the embodiments of the present application will be described in detail below through some embodiments and application scenarios with reference to the accompanying drawings.

As shown in Figure 2, the embodiment of the present application provides a weather perception method 200, which can be executed by the first communication node, in other words, the method can be executed by software or hardware installed on the first communication node, the first The communication node may be a terminal or a network side device, etc., and the method includes the following steps.

S202: The first communication node determines the weather attenuation correction value; wherein, the weather attenuation correction value is used to correct the weather attenuation measurement value to obtain a corrected weather attenuation value, and the corrected weather attenuation value is used to determine the weather Index value.

The above-mentioned weather attenuation correction value can be a water vapor attenuation correction value. In this case, the determined weather index value can include at least one of the following: air water vapor density value, air relative humidity (water vapor) value, air visibility value and fog. level value. This example is applicable to the situation where there is no rainfall, and this example can determine weather indicators such as air humidity and fog through the corrected meteorological attenuation value. Among them, the air water vapor density value and the air relative humidity value are both air humidity indicators; the air visibility value and the fog level value are both fog indicators.

The above weather attenuation correction value may also be a rain attenuation correction value, in this case, the weather index value includes a rainfall rate. This example is applicable to the situation that it is raining, and this example can determine weather indicators such as rainfall rate through the corrected meteorological attenuation value.

In this embodiment, the first communication node determining the weather attenuation correction value may include: the first communication node autonomously determining the weather attenuation correction value. In this way, after S202, the following steps may also be included: the first communication node sends the weather attenuation correction value to one or more second communication nodes; The attenuation measurement value is corrected to obtain a corrected meteorological attenuation value, and the weather index value is determined according to the corrected meteorological attenuation value.

In this embodiment, the determining the weather attenuation correction value by the first communication node may further include: the first communication node receiving the weather attenuation correction value, and the weather attenuation correction value may be from a reference station. In this way, after S202, the following steps may also be included: the first communication node corrects the measured value of the weather attenuation according to the correction value of the weather attenuation to obtain the corrected weather attenuation value, and determines the weather index according to the corrected weather attenuation value value.

In the weather perception method provided by the embodiment of the present application, the first communication node determines the weather attenuation correction value, so that when the weather perception is performed by using the received signal power attenuation of the cellular communication base station, the weather attenuation measurement value can be corrected by the weather attenuation correction value In order to obtain the corrected meteorological attenuation value, and determine the weather index value according to the corrected meteorological attenuation value. Through the above weather attenuation correction value, the error in the weather perception of the cellular communication base station can be reduced as much as possible, and the weather perception performance can be improved.

In order to describe in detail how the first communication node independently determines the weather attenuation correction value in S202, the following will describe in conjunction with several specific embodiments.

In one embodiment, the weather attenuation correction value is a water vapor attenuation correction value, and this embodiment is applicable to a scene without rainfall, and the first communication node determining the weather attenuation correction value includes the following steps:

1) The first communication node obtains a measurement reference medium attenuation value according to the transmission signal power attenuation.

In this step, there may be two first communication nodes, one is the first communication node as the sending end, and the other is the first communication node as the receiving end, and the receiving end can obtain the measurement reference medium attenuation value according to other parameters such as transmission signal power attenuation .

2) Obtain the reference dry air attenuation value according to the reference air temperature and the dry air attenuation model.

The reference air temperature may be measured by the first communication node according to an equipped thermometer, or may be obtained from a weather station. The dry air attenuation model will be described in detail later. In this step, when calculating the reference dry air attenuation value, the link length between the two first communication nodes serving as the sending end and the receiving end may also be taken into consideration.

3) Obtaining a reference water vapor attenuation value according to the reference air temperature, reference humidity and water vapor attenuation model.

Refer to the introduction of step 2) for the reference temperature. The reference humidity may be measured by the first communication node according to the equipped hygrometer, and may also be obtained from a weather station. The water vapor attenuation model will be introduced in detail later. In this step, when calculating the reference water vapor attenuation value, the link length between the two first communication nodes serving as the sending end and the receiving end may also be taken into consideration.

4) Obtain the water vapor attenuation correction value according to the measured reference medium attenuation value, the reference dry air attenuation value and the reference water vapor attenuation value.

In this step, for example, the measured reference medium attenuation value minus the reference dry air attenuation value is the measured water vapor attenuation value; (reference water vapor attenuation value−measured water vapor attenuation value)/link length=unit length link water vapor attenuation correction value.

After this embodiment, the first communication node (the reference station introduced later) can also send the unit length link water vapor attenuation correction value and the reference air temperature to the second communication node (the target station introduced later) for the second The communication node corrects the water vapor attenuation measurement value to improve the accuracy of the water vapor attenuation measurement of the second communication node, thereby improving the accuracy of the air humidity perception of the second communication node.

In one embodiment, the weather attenuation correction value is a rain attenuation correction value, and this embodiment is applicable to a scene where it is raining, and the determination of the weather attenuation correction value by the first communication node includes the following steps:

The reference air temperature may be measured by the first communication node according to an equipped temperature meter, and may also be obtained from a weather station. The dry air attenuation model will be described in detail later. In this step, when calculating the reference dry air attenuation value, the link length between the two first communication nodes serving as the sending end and the receiving end may also be taken into consideration.

4) Obtain the reference rain attenuation value according to the reference rainfall rate and the rain attenuation model.

The reference rainfall rate may be measured by the first communication node according to the equipped rain gauge, and may also be obtained from a weather station. The rain attenuation model will be introduced in detail later. In this step, when calculating the reference rain attenuation value, the link length between the two first communication nodes serving as the sending end and the receiving end may also be taken into consideration.

5) Obtaining the rain attenuation correction value according to the measured reference medium attenuation value, the reference dry air attenuation value, the reference water vapor attenuation value, the pre-obtained wet aperture attenuation value and the reference rain attenuation value.

In this step, for example, measured reference medium attenuation value - (reference dry air attenuation value + reference water vapor attenuation value + wet aperture attenuation value) = measured rain attenuation value; rain attenuation correction value = reference rain attenuation value - measured rain attenuation value.

Combined with the link length between the two first communication nodes as the sending end and the receiving end, it can be obtained: link rain attenuation correction value per unit length=(reference rain attenuation value−measured rain attenuation value)÷link length.

After this embodiment, the first communication node (the reference station introduced later) can also send the unit length link rain attenuation correction value, the reference air temperature and the reference humidity to the second communication node (the target station introduced later), using The measured rain attenuation measurement value is corrected at the second communication node to improve the accuracy of the rain attenuation measurement of the second communication node, thereby improving the accuracy of the second communication node's perception of the rainfall rate.

In this embodiment, before the first communication node determines the weather attenuation correction value, for example, in the system deployment or calibration phase, specifically before performing weather sensing, the method further includes the following steps: the first communication node according to The reference medium attenuation value measured under the first weather index and the reference medium attenuation value measured under the second weather index obtain the wet aperture attenuation value; wherein the first weather index includes no rainfall and no fog; The second weather index includes no fog within a preset period of time after rainfall.

In one embodiment, the weather attenuation correction value is a water vapor attenuation correction value, and this embodiment is applicable to a scene without rainfall, and the determination of the weather attenuation correction value by the first communication node includes: the first communication node obtaining a reference temperature and reference humidity; according to the mapping relationship table and the reference temperature and reference humidity, the water vapor attenuation correction value corresponding to the reference temperature and reference humidity is obtained; wherein, the mapping relationship table includes multiple reference temperatures and reference Mapping of humidity and multiple water vapor attenuation correction values.

In this embodiment, the reference air temperature and the reference humidity may be independently measured by the first communication node, or may be obtained from a weather station.

In this embodiment, before the first communication node determines the weather attenuation correction value, for example, in the system deployment or calibration phase, specifically before performing weather sensing, the method further includes: the first communication node according to multiple The mapping relationship table is generated with reference to air temperature, multiple reference humidity and multiple calculated water vapor attenuation correction values.

In one embodiment, the weather attenuation correction value is a rain attenuation correction value, and this embodiment is applicable to a rainy scenario, and the determination of the weather attenuation correction value by the first communication node includes: the first communication node obtaining a reference air temperature , reference humidity and reference rainfall rate; according to the mapping relationship table and the reference temperature, reference humidity and reference rainfall rate, obtain the rain attenuation correction value corresponding to the reference temperature, reference humidity and reference rainfall rate; wherein, the The mapping relationship table includes mapping relationships between multiple reference air temperatures, multiple reference humidity, multiple reference rainfall rates and multiple rain attenuation correction values.

In this embodiment, the reference air temperature, reference humidity and reference rainfall rate may be independently measured by the first communication node, or obtained from a weather station.

In this embodiment, before the first communication node determines the weather attenuation correction value, for example, in the system deployment or calibration phase, specifically before performing weather sensing, the method further includes: the first communication node according to multiple The mapping relationship table is generated with reference to air temperature, multiple reference humidity, multiple reference rainfall rates and multiple calculated rain attenuation correction values.

The foregoing embodiments describe how the first communication node determines the weather attenuation correction value autonomously. After the first communication node determines the weather attenuation correction value, the method further includes: the first communication node sends one or more second The communication node (the target station described later) sends the weather attenuation correction value. In this way, the second communication node may also correct the measured weather attenuation value according to the weather attenuation correction value to obtain a corrected weather attenuation value, and determine the weather index value according to the corrected weather attenuation value.

When there are multiple (or multiple pairs) of second communication nodes, multiple second communication nodes can share the measurement result of the first communication node, that is, the weather attenuation correction value, which is beneficial to reduce the deployment cost of the first communication node.

Each of the foregoing embodiments may further include the following step: the first communication node sends at least one of the following to one or more second communication nodes (target stations described later): reference air temperature, reference humidity and reference rainfall rate. In this way, the second communication node can obtain a corrected weather attenuation value according to the received reference air temperature, reference humidity, and reference rainfall rate, etc., and determine a weather index value according to the corrected weather attenuation value. In other embodiments, the second communication node may autonomously measure reference air temperature, reference humidity, reference rainfall rate, and the like.

Optionally, in each of the foregoing embodiments, the determination of the weather attenuation correction value by the first communication node includes at least one of the following:

1) The first communication node determines a weather attenuation correction value when a trigger instruction is received.

2) The first communication node periodically determines the weather attenuation correction value.

3) The first communication node determines the weather attenuation correction value when it is determined that the trigger condition is met according to the acquired air relative humidity value and/or rainfall rate. For example, the first communication node executes the step of determining the weather attenuation correction value in S202 when the air relative humidity value is greater than 90% and/or the rain rate is not zero.

The previous embodiments have introduced how the first communication node independently determines the weather attenuation correction value. The following will introduce how the first communication node receives the weather attenuation correction value and determines the weather index value according to the weather attenuation correction value in several embodiments.

On the basis of S202, the method further includes the following steps: the first communication node (the target station described later) corrects the measured value of the weather attenuation according to the weather attenuation correction value to obtain the corrected weather attenuation value , and determine the weather index value according to the corrected weather attenuation value; wherein, determining the weather attenuation correction value by the first communication node includes: the first communication node receiving the weather attenuation correction value.

In one embodiment, the weather attenuation correction value is a water vapor attenuation correction value, and the corrected weather attenuation value is a corrected water vapor attenuation value. This embodiment is applicable to a scenario without rainfall. The first communication The node (the target station introduced later) corrects the measured value of the weather attenuation according to the correction value of the weather attenuation to obtain the corrected weather attenuation value, and determines the weather index value according to the corrected weather attenuation value including:

1) The first communication node obtains a target medium attenuation value according to the transmission signal power attenuation.

In this step, there may be two first communication nodes, one is the first communication node as the sending end, and the other is the first communication node as the receiving end, and the receiving end can obtain the target medium attenuation value according to other parameters such as transmission signal power attenuation.

2) Obtain the target dry air attenuation value according to the reference air temperature and the dry air attenuation model.

The reference air temperature may be measured by the first communication node according to an equipped temperature meter, or may be received from a reference station. The dry air attenuation model will be described in detail later. In this step, when calculating the target dry air attenuation value, the link length between the two first communication nodes serving as the sending end and the receiving end may also be taken into consideration.

3) Obtain the measured water vapor attenuation value according to the target medium attenuation value and the target dry air attenuation value.

For example, subtract the target dry air attenuation value from the target medium attenuation value to obtain the measured water vapor attenuation value.

This step can also be combined as the link length between the two first communication nodes of the sending end and the receiving end to obtain the unit length link measurement water vapor attenuation value; that is: the unit length link measurement water vapor attenuation value=(target medium attenuation value - target dry air attenuation value) ÷ link length.

4) Obtaining a corrected water vapor attenuation value according to the measured water vapor attenuation value and the water vapor attenuation correction value.

In this step, according to the received water vapor attenuation correction value of the unit length link, the measured water vapor attenuation value of the unit length link is corrected to obtain the corrected unit length link water vapor attenuation value; that is, the corrected unit length Link water vapor attenuation value = unit length link measured water vapor attenuation value + unit length link water vapor attenuation correction value.

5) Determine at least one of the following according to the corrected water vapor attenuation value: an air water vapor density value and an air relative humidity value.

For example, using the water vapor attenuation value corrected by the link per unit length and the reference air temperature, the water vapor attenuation model is reversed to calculate the water vapor density (unit: g/ m ³ ). According to the water vapor density and the reference air temperature, the air relative humidity (unit: %) at the first communication node is calculated. Relative humidity (RH) is an important parameter for weather condition perception.

Optionally, in the case where the determined air relative humidity value is greater than or equal to a preset value (for example: 100%), the method further includes the following steps:

a) The first communication node (the target station described later) obtains the actual water vapor attenuation value according to the preset air relative humidity value (for example: 90% or 95%), referring to the air temperature and the water vapor attenuation model.

The water vapor attenuation model will be introduced in detail later. In this step, when calculating the actual water vapor attenuation value, the link length between the two first communication nodes serving as the sending end and the receiving end may also be taken into consideration.

b) obtaining a fog attenuation value according to the actual water vapor attenuation value and the measured water vapor attenuation value.

For example, fog attenuation value = measured water vapor attenuation value - actual water vapor attenuation value. The value of the measured water vapor attenuation value can refer to the above step 3).

c) determining at least one of the following according to the fog attenuation value and the fog attenuation model: an air visibility value and a fog level value.

In this step, after the fog attenuation value is obtained, the liquid water content LWC in the air is calculated according to the fog attenuation model in combination with the carrier frequency, reference air temperature, and link length. Further, according to the liquid water content LWC and the reference air temperature, the air visibility value (unit: m or km) and the classification value of the fog (heavy fog/medium fog/thin fog) are calculated.

In one embodiment, the weather attenuation correction value is a rain attenuation correction value, and the corrected weather attenuation value is a corrected rain attenuation value. This embodiment is applicable to a rainy scenario, and the first communication node (The target station described later) corrects the measurement of the weather attenuation value according to the weather attenuation correction value to obtain the corrected weather attenuation value, and determining the weather index value according to the corrected weather attenuation value includes:

3) Obtain the target water vapor attenuation value according to the reference air temperature, reference humidity and water vapor attenuation model.

Refer to the introduction of step 2) for the reference temperature. The reference humidity may be measured by the first communication node according to an equipped hygrometer, or may be obtained from a reference station. The water vapor attenuation model will be introduced in detail later. In this step, when calculating the target water vapor attenuation value, the link length between the two first communication nodes serving as the sending end and the receiving end may also be taken into consideration.

4) Obtain a measured rain attenuation value according to the target medium attenuation value, the target dry air attenuation value, the target water vapor attenuation value and the pre-obtained wet aperture attenuation value.

For example, measured rain attenuation value per unit length link = (target medium attenuation value - (target dry air attenuation value + target water vapor attenuation value + wet aperture attenuation)) ÷ link length.

5) Obtaining a corrected rain attenuation value according to the measured rain attenuation value and the rain attenuation correction value.

For example, the corrected rain attenuation value of the link per unit length = the measured rain attenuation value of the link per unit length + the corrected rain attenuation value of the link per unit length.

6) Determine the rainfall rate according to the corrected rain attenuation value.

In this step, the rain attenuation value corrected by the link per unit length can be used to calculate the rain rate according to the power relationship model between the rain attenuation value and the rain rate. Rainfall rate is an important parameter for the perception of weather conditions.

The basic idea and specific implementation means of the weather perception method provided by the embodiment of the present application will be introduced in detail below by dividing the case 1 and the case 2.

Case 1: The reference station provides meteorological attenuation correction values to the target station based on real-time measurement calculation results.

The reference station corresponds to the first communication node that autonomously determines the weather attenuation correction value in the previous embodiment, and the target station corresponds to the second communication node that receives the weather attenuation value after correction in the previous embodiment, or receives the weather attenuation correction value first communication node.

(1) The basic idea of this embodiment is as follows:

Reference station configuration: The reference station includes an inter-base station communication link (line-of-sight LOS link) composed of at least two communication base stations. The link between the base stations may include: a backhaul (backhaul) link, or a new Point-to-point links between established base stations. At the same time, the reference station can be equipped with traditional measurement tools, including: thermometer, hygrometer, rain gauge, etc. Alternatively, there is a weather station or weather radar station near the reference station, and the reference station can use the information released by the weather station or weather radar station as the true value at the reference station.

The reference station uses traditional measurement tools to measure (or obtain from information released by nearby weather stations) the air humidity and rainfall rate and other weather condition indicators at the location, as the true value at the reference station. At the same time, the reference station uses the attenuation of the link transmission signal between the cellular communication base stations to measure weather conditions such as air humidity and rainfall rate, as the measured value at the reference station.

The difference between the true value and the measured value at the reference station is used as a systematic error in the method of measuring weather condition indicators such as air humidity and rainfall rate using link transmission signal attenuation between cellular communication base stations. The system error is the signal attenuation error caused by non-ideal factors in the signal transmission process, such as the error of models such as dry air attenuation and water vapor attenuation, etc. The system error is related to the link length.

The reference station sends the system error (correction number, or correction value) to the base station (target station) that performs weather condition perception in the target sensing area, and the target station uses the received system error (correction number) The measurement results of weather condition indicators such as air humidity and rainfall rate are corrected by measuring the attenuation of road transmission signals, and the correction results of weather condition perception are obtained.

For simplicity of description, the embodiment of the present application does not consider attenuation factors such as signal propagation geometric attenuation and system hardware equipment error, but only considers the medium attenuation (including: dry air, water vapor, liquid water (fog) in the air) when the signal propagates in the atmosphere. , rainfall and other factors caused by signal attenuation).

(2) The calibration process before the implementation of this embodiment is as follows:

Wet aperture attenuation calibration: Wet aperture attenuation refers to the additional attenuation of the transmitted signal caused by the water layer attached to the antenna surface, which is more significant in the case of rain and just after the rain, especially for higher frequency bands.

a) In the weather without rain and fog, the link medium attenuation (the first reference medium attenuation) is obtained by using the link transmission signal power attenuation between the reference station pair (including the reference sending station and the reference receiving station), and the temperature meter The air temperature at the reference station (first reference air temperature) is measured, and the humidity at the reference station (first reference humidity) is measured with a hygrometer.

Using the first reference air temperature, combined with the link length between the reference station pair (including the reference sending station and the reference receiving station), according to the dry air attenuation model, calculate the dry air attenuation (the first dry air attenuation); use the first reference air temperature , the first reference humidity, combined with the link length between the reference station pair (including the reference sending station and the reference receiving station), and according to the water vapor attenuation model, calculate the water vapor attenuation (first water vapor attenuation) between the reference station pair.

b) After rain (the antenna surface remains wet), and in fog-free weather, use the reference station to attenuate the transmission signal power to obtain the link medium attenuation (the second reference medium attenuation), and use a thermometer to measure the air temperature at the reference station (second reference air temperature), measure the humidity at the reference station (second reference humidity) with a hygrometer.

With the second reference air temperature, in conjunction with the link length between the reference station pair (including the reference sending station and the reference receiving station), according to the dry air attenuation model, calculate the dry air attenuation (the first dry air attenuation) between the reference station pair; Using the second reference air temperature and the second reference humidity, combined with the link length between the reference station pair (including the reference sending station and the reference receiving station), according to the water vapor attenuation model, the water vapor attenuation between the reference station pair is calculated (the second water vapor attenuation ).

c) The main difference between the attenuation of the first reference medium and the attenuation of the second reference medium is that when the attenuation of the second reference medium is obtained, the surface of the antenna is wet and there is wet aperture attenuation; in addition, there are dry air attenuation caused by temperature differences and humidity differences and water vapor attenuation.

The calculation formula of wet aperture attenuation is: wet aperture attenuation = (second reference medium attenuation - first reference medium attenuation) - (second water vapor attenuation - first water vapor attenuation) - (second dry air attenuation - first dry air attenuation) .

In particular, if the difference between the second reference air temperature and the first reference air temperature and the difference between the second reference humidity and the first reference humidity are ignored, the difference between the second medium attenuation and the first medium attenuation is the wet aperture attenuation, that is The approximate formula for calculating the wet aperture attenuation is: wet aperture attenuation = (second reference medium attenuation - first reference medium attenuation).

It should be noted that the wet aperture attenuation value obtained from the above calibration can be directly applied to the base station equipment of the same type of antenna used in the calibration process. Due to the simplicity of the wet aperture calibration process, when actually deploying base station equipment with different antenna models used in the moderate rain calibration process, the above method can be calibrated separately for each antenna model.

(3) Working process:

The working process is shown in Figure 3, which schematically shows that the reference station provides the attenuation correction number (corresponding to the meteorological attenuation correction value of the previous embodiment) to the target station according to the real-time measurement and calculation results, and the dotted line in Figure 3 Boxes indicate which may or may not be present.

It should be noted that "...the correction number" and "...the correction value" in each embodiment of the present application have the same meaning, for example, the attenuation correction number and the attenuation correction value have the same meaning.

In this embodiment, the reference station can use a rain gauge to measure the rainfall at the reference station. If there is no rainfall, the perception of air humidity and fog can be performed; if there is rainfall, the perception of rainfall intensity (rainfall rate) can be performed.

1) No rainfall:

If the rainfall rate measured by the rain gauge at the reference station is zero, the following processing is performed.

Reference station:

Measure the air temperature (reference air temperature) at the reference station with a thermometer, measure the air humidity (reference humidity) at the reference station with a hygrometer, and use the link sending and receiving signal power between the reference station pair (including the reference sending station and the reference receiving station) The attenuation obtains the link medium attenuation (corresponding to the measurement reference medium attenuation value in the foregoing embodiments). It should be noted that the parameter values may also be simply referred to as parameters later on, for example, the measured reference medium attenuation value is simply referred to as the measured reference medium attenuation, and the reference water vapor attenuation value is simply referred to as the reference water vapor attenuation.

The link between the reference station pair is a LOS path link.

Using the reference air temperature and the link length between the reference station pair (including the reference sending station and the reference receiving station), the dry air attenuation value (corresponding to the reference dry air attenuation value of the previous embodiment) is calculated according to the dry air attenuation model. Specifically, the dry air attenuation γ _o (dB/km) for frequencies below 54 GHz is calculated as follows:

Among them, f is the carrier frequency, the unit is GHz; r _p =p/1013, p is the air pressure, the unit is hPa (hPa); r _t =288/(273+t), t is the temperature, the unit is ° C; ξ ₁ , ξ ₂ and _ξ3 are as follows:

ξ ₁ ＝φ(r _p ,r _t ,0.0717,-1.8132,0.0156,-1.6515)

ξ ₂ ＝φ(r _p ,r _t ,0.5146,-4.6368,-0.1921,-5.7416)

ξ ₃ ＝φ(r _p ,r _t ,0.3414,-6.5851,0.2130,-8.5854)

in,

Subsequent dry air attenuation models all use the above formula and will not be repeated here.

The water vapor attenuation value (corresponding to the reference water vapor attenuation value of the previous embodiment) is calculated according to the water vapor attenuation model by using the reference air temperature, reference humidity and the link length between the reference station pair (including the reference sending station and the reference receiving station). Specifically, the water vapor attenuation γ _w (dB/km) is calculated as follows:

Among them, ρ is the water vapor density, the unit is g/m ³ ; η ₁ , η ₂ and the function g(f, f') are as follows:

Among them, r _p and r _t are the same as dry air formula; f is the carrier frequency, the unit is GHz.

Subsequent water vapor attenuation models all use the above formula and will not be repeated here.

The reference station can subtract the reference dry air attenuation from the measured reference medium attenuation to obtain the measured water vapor attenuation.

(reference water vapor attenuation−measured water vapor attenuation)/link length=water vapor attenuation correction number of link per unit length, and the water vapor attenuation correction number corresponds to the water vapor attenuation correction value in the foregoing embodiment.

The reference station sends the water vapor attenuation correction number per unit length link and the reference air temperature to the target station for the target station to correct the measured water vapor attenuation, improve the accuracy of the target station's water vapor attenuation measurement, and then improve the target station's perception of air humidity the accuracy.

Target station:

Considering that the temperature difference within the city is not large, and the dry air attenuation does not change much with the temperature, the temperature value at the reference station is used as the temperature value at the target station. If the air temperature error is ±2°C, the error of dry air attenuation caused by using the air temperature of the reference station as the air temperature of the target station is less than ±2%.

Optionally, the target station may also be equipped with a thermometer, and the measured result is called the target temperature. At this time, the target station is based on the target temperature.

With the link length between the reference air temperature (the target station has a temperature timer, it is the target air temperature; the same below, no more details) and the target station pair (including the target sending station and the target receiving station), the link between the target station pair The path is a LOS path link.

According to the dry air attenuation model, the dry air attenuation value at the target station (target dry air attenuation) is calculated.

The link medium attenuation (target medium attenuation) is obtained by using the link transmit and receive signal power attenuation between the target station pair (including the target sending station and the target receiving station).

The measured water vapor attenuation is obtained by subtracting the target dry air attenuation value from the target medium attenuation value; combined with the link length between the target station pair (including the target sending station and the target receiving station), the unit length link measurement water vapor attenuation is obtained; that is: unit Length Link Measurement Water vapor attenuation = (target medium attenuation - target dry air attenuation) ÷ link length.

Use the water vapor attenuation correction number per unit length link sent by the reference station to correct the measured water vapor attenuation value of the link per unit length to obtain the corrected water vapor attenuation per unit length link at the target station; that is: the corrected water vapor attenuation per unit length link = Unit length link measurement water vapor attenuation + unit length link water vapor attenuation correction number.

Use the unit length link to correct the water vapor attenuation value and the reference air temperature, (using the inverse operation of the aforementioned water vapor attenuation model) to calculate the water vapor density (unit: g/m ³ ) in the air at the target station. According to the water vapor density and the reference air temperature, the air relative humidity (unit: %) at the target station is calculated.

Relative humidity (RH) is an important parameter for weather condition perception.

In rainless weather, if there is fog in the air, fog attenuation will cause additional signal attenuation, causing the relative air humidity at the target station calculated by the above process to be greater than 100%. Therefore, when the relative air humidity at the target station obtained by the above process is greater than 100%, it is considered to be foggy. At this time, the air contains liquid water, and the measurement results should be adjusted according to the fog attenuation model.

When there is foggy weather, the air humidity is relatively high, close to saturation, and there will be liquid water in the air to form fog. At this time, the relative humidity of the air at the target station is set to be a value close to the upper limit of the relative humidity (for example: 90% or 95%). Combining the upper limit of relative humidity, the reference air temperature and the link length between the target station pair (including the target sending station and the target receiving station), the water vapor density in the air at the target station can be obtained by calculating (or looking up the table) according to the water vapor attenuation model, so as to further obtain the target The actual value of water vapor attenuation at the station.

The difference between the measured water vapor attenuation in the above process and the actual water vapor attenuation obtained here is the fog attenuation, namely: fog attenuation = measured water vapor attenuation - actual water vapor attenuation. Specifically, the fog attenuation γ _c (dB/km) can be expressed as:

γ _c ＝Φ(f,T)·LWC

Among them, Φ(f, T) is the specific attenuation coefficient of liquid water, the unit is (dB/km)/(g/m ³ ); LWC is the liquid water content, the unit is g/m ³ . For frequencies below 200GHz, Φ(f,T) can be calculated by the following formula:

Wherein, f is the carrier frequency, unit GHz; η is given by the following formula:

Among them, ε′ and ε″ are given by the following equations:

in:

ε ₀ =77.66+103.3(θ-1)

ε ₁ =0.0671ε ₀

ε ₂ =3.52

θ＝300/(273+T)

f _p ＝20.20-146(θ-1)+316(θ-1) ²

f _s =39.8f _p

where T is the temperature of liquid water in air, in °C.

Subsequent fog attenuation models all use the above formula and will not be repeated here.

After the fog attenuation value is obtained, combined with the carrier frequency, reference air temperature, and the link length between the target station pair (including the target sending station and the target receiving station), according to the fog attenuation model, the liquid water content LWC in the air is calculated. Further, according to the liquid water content LWC and the reference air temperature, calculate the air visibility (unit: m or km), and divide the fog level (heavy fog/medium fog/mist fog).

The calculation formula of air visibility V (unit: km) is:

V＝1.002·(LWC×N _D ) ^-0.6473

where _ND is the droplet number concentration. The above formula is applicable to the condition of temperature T>0°C. The value of _ND can be measured by special equipment, or can be calculated by empirical formula:

N _D ＝-0.071T ² +2.213T+141.56(cm ^-3 )

In the above formula, the unit of temperature T is °C.

Air visibility and fog levels are an important parameter for weather condition perception.

2) In case of rain:

If the rainfall rate measured by the rain gauge at the reference station is not zero, the perception of rainfall intensity (rainfall rate) is performed.

Reference station:

Measure the temperature value (reference temperature) at the reference station with a thermometer, measure the humidity value (reference humidity) at the reference station with a hygrometer; measure the rainfall rate at the reference station with a rain gauge (reference rainfall rate, unit: mm/h ), the link medium attenuation (reference medium attenuation) is obtained by using the link transmit and receive signal power attenuation between the reference station pair (including the reference sending station and the reference receiving station).

Using the reference air temperature and the link length between the reference station pair (including the reference sending station and the reference receiving station), the dry air attenuation value at the reference station (reference dry air attenuation) is calculated according to the dry air attenuation model.

The water vapor attenuation value (reference water vapor attenuation) is calculated by using the reference air temperature, reference humidity and the link length between the reference station pair (including the reference sending station and the reference receiving station), combined with the water vapor attenuation model.

Using the reference rainfall rate and the link length between the reference station pair (including the reference sending station and the reference receiving station), calculate the attenuation value caused by rain (reference rain attenuation) according to the rain attenuation model; rain attenuation A (dB/km) The calculation formula is:

A=kR ^α

Among them, R is the rainfall rate, in mm/h; the values of k and α refer to the relevant technical section.

Subsequent rain attenuation is calculated using the above model and will not be repeated here.

Reference medium attenuation - (reference dry air attenuation + reference water vapor attenuation + wet aperture attenuation) = measured rain attenuation.

Rain attenuation correction number = reference rain attenuation - measured rain attenuation, combined with the link length between reference station pairs (including reference sending station and reference receiving station), get: unit length link rain attenuation correction number = (reference rain attenuation - measurement rain attenuation) ÷ link length.

The reference station sends the unit length link rain attenuation correction number, reference air temperature, and reference humidity to the target station.

Target station:

In the case of rainfall, the water vapor attenuation is usually much smaller than the attenuation caused by rainfall. The measurement of rain attenuation is mainly considered, and the deviation of signal attenuation caused by temperature deviation and humidity deviation between the target station and the reference station is ignored: measured by the reference station The obtained temperature and humidity are used as the temperature and humidity at the target station. If the temperature error is ±2°C, the error of dry air attenuation and water vapor attenuation caused by using the temperature and humidity of the reference station as the temperature and humidity of the target station is less than ±2%.

Optionally, the target station may also be equipped with a thermometer and a hygrometer, and the measured results are respectively called the target air temperature and target humidity. At this time, the target station is based on the target air temperature and target humidity.

Calculate the dry air attenuation value (target dry air attenuation).

The target station uses the reference air temperature, reference humidity (the target station has a hygrometer, it is the target humidity; the same below, no more details) and the link length between the target station pair (including the target sending station and the target receiving station) to calculate the water vapor Attenuation value (target water vapor attenuation).

Link medium attenuation (target medium attenuation) is obtained by link signal power attenuation between target station pairs (including target sending station and target receiving station).

Combined with the link length between the target station pair (including the target sending station and the target receiving station), the measured rain attenuation of the unit length link is obtained: the unit length link measurement rain attenuation = (target medium attenuation - (target dry air attenuation + target water vapor Attenuation + wet aperture attenuation)) ÷ link length.

Use the unit length link rain attenuation correction number sent by the reference station to correct the unit length link rain attenuation to obtain the unit length link correction rain attenuation at the target station, that is: unit length link correction rain attenuation = unit Length link measurement rain attenuation + unit length link rain attenuation correction number.

The rain attenuation is corrected by the unit length link at the target station, and the rain rate at the target station is calculated according to the power relationship model between rain attenuation and rainfall rate.

Rainfall rate is an important parameter for the perception of weather conditions.

Case 2: The reference station provides the meteorological attenuation correction value to the target station according to the mapping relationship obtained by offline calibration.

(1) The basic idea of this embodiment is as follows:

In the system deployment stage, the mapping relationship between the air temperature, air humidity and water vapor attenuation per unit length link (or the water vapor attenuation correction number of unit long link) is measured under no rainy weather. The mapping relationship between air temperature, air humidity, rainfall rate and unit length link rain attenuation (or unit length link rain attenuation correction number) is measured below, as shown in Figure 4.

After the mapping relationship is obtained, the mapping relationship can be applied in a wide area, and there is no need for a radio frequency link between the reference station pair (including the reference sending station and the reference receiving station) at the reference station; the reference station only needs to be equipped with a thermometer, a hygrometer and a rain gauge And other traditional measurement tools, and have wired / wireless communication function.

At the time of measurement, the reference station measures the reference air temperature, reference humidity and reference rainfall rate, and obtains the water vapor attenuation of the link per unit length or the rain attenuation of the link per unit length (or the correction number of water vapor attenuation of the unit long link, unit length link rain attenuation correction number), together with the reference air temperature, reference humidity, and reference rainfall rate are sent to the target station.

Or, the mapping relationship can be stored in a third-party mapping relationship processing node, and the reference station records the reference air temperature, reference humidity and reference rainfall rate and sends them to the third-party mapping relationship processing node, and the third-party mapping relationship processing node passes the mapping relationship (look-up table) Get the water vapor attenuation of the unit length link or the rain attenuation of the unit length link (or the water vapor attenuation correction number of the unit long link link, the rain attenuation correction number of the unit length link), and send it to the target together with the reference temperature, reference humidity, and reference rainfall rate stand.

As shown in Figure 5, Figure 5 schematically shows that the reference station provides correction numbers to the target station according to the mapping relationship obtained by offline calibration, and the dotted line box indicates that it may exist.

(2) Calibration process

The wet aperture calibration process can refer to the introduction in Case 1.

Mapping relationship calibration:

The calibration process is performed on the calibration link, and the mapping relationship obtained after the calibration is completed can be applied to other links of the same hardware as the calibration link.

The mapping relationship between temperature, air humidity and link medium attenuation per unit length:

In rainless weather, pay attention to the air humidity:

With a certain temperature interval and humidity interval, the measured water vapor attenuation value of the calibration link is obtained by calibrating the power attenuation between the link transceiver base stations; the measured water vapor attenuation value is divided by the length of the calibration link to obtain the measured water vapor attenuation of the unit length link .

Under each temperature and humidity condition, use a thermometer to measure the temperature value under the corresponding conditions, and use a hygrometer to measure the humidity value under the corresponding conditions; use the measured temperature value and humidity value to calculate through the water vapor attenuation model The water vapor density in the air is further calculated to obtain the theoretical water vapor attenuation of the link per unit length.

Under each temperature and humidity condition, the theoretical water vapor attenuation value of the unit length link is subtracted from the measured water vapor attenuation per unit length to obtain the corrected water vapor attenuation number of the unit length link.

Store the water vapor attenuation correction number per unit length link under all temperature and humidity conditions, and obtain the mapping relationship between the water vapor attenuation correction number per unit length link and temperature and humidity under no rain weather.

Optionally, interpolation, fitting, etc. are performed on the mapping relationship between the water vapor attenuation correction number of the link per unit length and the temperature and humidity to obtain the mapping relationship under other temperature values and humidity values.

The mapping relationship between temperature, air humidity, rainfall rate and link medium attenuation per unit length:

In rainy weather, pay attention to the intensity of rainfall (rainfall rate):

At a certain temperature interval and rainfall intensity (rainfall rate) interval, the measured rain attenuation value of the calibration link is obtained through the power attenuation between the calibration link transceiver base stations; the measured rain attenuation value is divided by the calibration link length to obtain the unit length Link measures rain attenuation.

Under each temperature and rainfall intensity, use a rain gauge to measure the rainfall rate under the corresponding conditions, and use the measured rainfall rate to calculate the theoretical rain attenuation per unit length link according to the rain attenuation model; at the same time, use the thermometer to measure Use a hygrometer to measure the air humidity value under the corresponding conditions.

Under each temperature and rainfall intensity, the theoretical rain attenuation of the unit long-distance link is used to measure the rain attenuation of the unit long-distance link, and the correction number of the rain attenuation of the unit length link is obtained.

Store the rain attenuation correction number per unit length link and the corresponding air humidity under all temperatures and rainfall intensities, and obtain the mapping relationship between the rain attenuation correction number per unit length link and the temperature, air humidity, and rainfall rate in rainy weather.

Optionally, interpolation and fitting are performed on the mapping relationship between the unit length link rain attenuation correction number and the temperature, air humidity and rainfall rate to obtain the mapping relationship under other temperature values and rainfall rates.

(3) Working process

Reference station configuration: The reference station has the following options:

Option 1: Cellular communication base station, equipped with traditional measurement tools such as thermometer, hygrometer, rain gauge, etc.

Option 2: No cellular communication base station, equipped with traditional measurement tools such as thermometer, hygrometer, rain gauge, etc., and has wired/wireless communication capabilities.

Option 3: The weather station provides temperature, air humidity, rainfall rate and other information to the cellular communication network through wired/wireless communication.

Option 4: Other devices that can provide information such as temperature, air humidity, and rainfall rate to the cellular communication network.

For the sake of brevity, the following is described from the perspective of option 1, which is also applicable to other reference station options.

At each measurement moment, the measuring station measures the current air temperature (reference air temperature) with a thermometer, the current humidity (reference humidity) with a hygrometer, and the current rainfall rate with a rain gauge. If the rainfall rate is zero, that is, there is no rain, then according to the reference air temperature and reference humidity, the corresponding water vapor attenuation correction number of the link per unit length is obtained through the mapping relationship (look-up table). If the rainfall is not zero, according to the reference temperature and the reference rainfall rate, the corresponding unit length link rain attenuation correction number is obtained through the mapping relationship (look-up table). The reference station sends the reference air temperature, reference humidity, reference rainfall rate and unit length link water vapor attenuation correction number/unit length link rain attenuation correction number to the target station.

Alternatively, the mapping relationship is stored in a third-party mapping processing node, which may be a reference station, another base station, or a core network element/node. At each measurement moment, the measuring station measures the current air temperature (reference air temperature) with a thermometer, the current humidity (reference humidity) with a hygrometer, and the current rainfall rate with a rain gauge. The reference station sends the reference air temperature, reference humidity and reference rainfall rate to the third-party mapping processing node. The third-party mapping processing node determines the no-rain/rain state according to the rainfall rate, and correspondingly obtains the corresponding unit length link water vapor attenuation correction number/unit length link rain attenuation correction number according to the mapping relationship (look-up table), together with the reference air temperature , reference humidity and reference rainfall rate are sent to the target station together.

Target station:

According to the received information, the target station detects the weather conditions in two cases: no rain and rain according to whether the rainfall rate is zero: in the case of no rain, the water vapor in the air is detected to attenuate, and then the air humidity is obtained, and the air humidity exceeds 100% When there is rain, the difference between the dry air attenuation and water vapor attenuation between the target station and the reference station is ignored, and the rainfall rate is processed.

The specific processing method of the target station is the same as case 1.

In order to describe the weather perception method provided by the embodiment of the present application in detail, the following will describe in conjunction with several specific embodiments.

Among them, Embodiment 1 is: a third-party application initiates weather condition awareness, and this implementation mode is to perform weather condition awareness according to user needs.

Embodiment 2 is: the core network periodically triggers weather condition awareness, and this implementation mode is to periodically perform weather condition awareness.

Embodiment 3 is: the reference station triggers the weather condition perception, and this implementation mode is event-triggered weather condition perception.

Example 1: A third-party application initiates weather condition awareness

As shown in FIG. 6 , FIG. 6 schematically shows a flow of a third-party application initiating weather condition awareness. The third-party application requests to sense the weather conditions of a certain area or the current location area. The weather conditions include one or more of the following: 1) Air humidity; 2) Whether there is fog, visibility and fog level in foggy conditions ; 3) Whether there is rain, and the rainfall rate under the condition of rain.

The third-party application sends the weather condition perception request to the application server.

The application server sends information such as the weather condition awareness requirement and the location (coordinates, or relative to the current location of the third-party application) and range of the weather condition target awareness area to the core network or the sensing network element of the core network.

The core network or the sensing network element of the core network selects the base station (target station) used to implement the weather sensing requirement according to the received target sensing area location and range information; the target station can be several base stations closest to the target sensing area, or Other suitable base stations covering the range of the target sensing area. The core network or the sensing network element of the core network sends the weather condition sensing demand to the execution target station.

After the core network or the core network sensing network element determines the target station, it needs to determine the reference station pair (including the reference sending station and the reference receiving station) or the reference station (the reference station without the link between the base stations) corresponding to the target station. case 2), if the technical solution case 2 is adopted, it is necessary to determine the third-party mapping processing node for processing the mapping relationship between the attenuation correction number and the air humidity or rainfall rate; according to the size and distribution of the area to be sensed, all target stations May correspond to one or more reference station pairs/reference stations.

After the core network or core network sensing network element determines the target station, it also needs to determine the topological relationship between the target stations and the distribution of receiving/sending tasks, that is, the pairing relationship between each target station and the signal sending and receiving relationship of the paired target station (One target sending station corresponds to one target receiving station, or one target sending station corresponds to multiple target receiving stations, or multiple target sending stations correspond to multiple target receiving stations, or multiple target sending stations correspond to multiple target receiving stations).

Reference station operation:

The reference sending station sets the beam azimuth pointing angle according to the position of the reference receiving station combined with its own position information, and the reference sending station selects the antenna module for performing electromagnetic wave radiation according to the set azimuth pointing angle.

Refer to the first signal of the sending station, receive the first signal at the reference receiving station, and measure the power of the received first signal, and combine the link length between the reference station pair (including the reference sending station and the reference receiving station), to obtain the unit long-distance link medium attenuation.

If the reference sending station is equipped with traditional measurement tools such as thermometers, hygrometers and rain gauges, the reference sending station will send the measured air temperature, air humidity and rainfall rate to the reference receiving station; if the reference receiving station is equipped with thermometers, hygrometers and Traditional measurement tools such as rain gauges use the reference receiving station to measure the temperature, air humidity and rainfall rate by themselves; Air humidity and rainfall rate to obtain a comprehensive temperature, air humidity and rainfall rate (the two stations are in different locations, so the measured values may not be exactly the same);

The reference receiving station calculates the link attenuation correction number per unit length (the water vapor attenuation correction number per unit length link, or Unit length link rain attenuation correction number, the same below), the reference receiving station sends air temperature, air humidity, rainfall rate and signal attenuation correction number (via Xn interface, or AMF, or other interfaces) to the associated target station ; Or, if the technical solution situation 2 is adopted, the reference station can also send information such as air temperature, air humidity, and rainfall rate (through the Xn interface, or AMF, or other interfaces) to the third-party mapping processing node, and the third-party mapping processing The node gets the signal attenuation correction number, which is sent to the target station associated with the reference station along with air temperature, air humidity and rainfall rate.

In particular, if the technical solution case 2 is adopted and the reference station is not a cellular communication base station, the reference station sends it to the core network AMF through the third-party application and application server or through NAS signaling, and the AMF sends it to the third-party mapping processing node.

Target station operation:

The target sending station sets the beam azimuth and pointing angle according to the position of the paired target receiving station and its own position information; the target sending station selects the antenna module to perform beam radiation according to the set beam azimuth pointing angle.

The target sending station transmits the second signal, the target receiving station receives the second signal, and measures the power of the received second signal, combined with the link length between the target station pair (including the target sending station and the target receiving station), the unit length link medium is obtained attenuation.

According to the link medium attenuation per unit length, the target receiving station combines the link length between the target station pair (including the target sending station and the target receiving station) to obtain the unit length link medium attenuation.

① If the received rainfall rate is zero, according to the received air temperature value, according to the dry air attenuation model, calculate the dry air attenuation per unit length link; then subtract the unit length link dry air attenuation value from the unit length link medium attenuation value attenuation to obtain the water vapor attenuation of the unit length link; according to the correction number of the unit length link water vapor attenuation sent by the reference station, the water vapor attenuation of the unit length link is corrected to obtain the corrected unit length link water vapor attenuation; according to the water vapor attenuation model, it is obtained The water vapor density in the air is combined with the temperature value to further obtain the air humidity; if the calculated air humidity is greater than 100%, it is judged that there is fog, and the liquid water content in the air is further calculated to obtain the level of fog and air visibility, as shown in the technical plan mentioned.

② If the received rainfall rate is not zero, according to the received air temperature value and air humidity, according to the dry air attenuation model and the water vapor attenuation model, calculate the dry air attenuation per unit length link and the water vapor attenuation per unit length link; then by The link medium attenuation per unit length minus the link dry air attenuation per unit length and the link water vapor attenuation per unit length are used to obtain the link rain attenuation per unit length; The rain attenuation of the link is corrected to obtain the corrected unit length link rain attenuation; then according to the power model of the rain attenuation, the rainfall rate is obtained.

If a target station establishes a link pairing relationship with multiple other target stations, under the control of the core network or the core network perception network element, it will perform target station operations with the paired target stations in turn until all the target stations in the topology are completed. The target station operation of the link.

The target station reports the weather sensing results and sensing-related information to the core network or core network sensing network elements, and the reported information includes at least one of the following:

1) The pairing relationship and location information of the target station (including the IDs of the target sending station and the target receiving station).

2) Execution time of weather condition perception.

3) The air temperature, air humidity and rainfall rate measured by the associated reference station during the execution of weather situation awareness.

4) The air humidity measured by the target station when the rainfall rate at the reference station is zero, or the rainfall rate measured by the target station when the rainfall rate at the reference station is not zero.

The core network or the core network sensing network element collects the reported sensing results of all target stations, and performs data fusion processing to obtain the weather conditions in the sensing area; or, the core network or the core network sensing network element reports all the received sensing results to the The application server performs data fusion processing by the application server to obtain the weather conditions in the sensing area.

The application server feeds back the weather conditions in the sensing area to the third-party application.

Example 2: The core network periodically triggers weather condition awareness

As shown in Fig. 7, Fig. 7 schematically shows that the core network periodically triggers weather condition perception. The core network or the sensing network element of the core network periodically executes the weather condition sensing action under the trigger of the timer.

The core network or the sensing network elements of the core network are based on the fixed base station topological relationship (including reference station pairing relationship and receiving/sending relationship, target station pairing relationship and receiving/sending relationship, and the association relationship between reference station and target station; in the technical solution Case 2 also includes the association relationship between the third-party mapping processing node and the reference station and the target station), and sends weather condition awareness instructions to all base stations in a certain area (for example, within a city).

The operation of the reference station is the same as in Embodiment 1.

Target station operation: with embodiment 1.

The target station reports the result of weather perception and related information to the core network or core network sensing network element, and the reported information includes at least one of the following:

1) The pairing relationship and location information of the target station (including the target sending station and the target receiving station).

2) Execution time of weather condition perception.

The core network or the core network sensing network element collects the sensing results reported by all target stations, and performs data fusion processing to obtain the weather conditions and distribution of the sensing area.

The core network or core network sensing network elements push the weather conditions and their distribution to the application server, and the application server pushes the weather conditions and their distribution to the third-party applications.

Embodiment 3: The reference station triggers weather condition perception

As shown in Fig. 8, Fig. 8 schematically shows the situation that the reference station triggers the weather condition perception. The reference station can periodically (relatively frequently) measure the air humidity and rainfall rate at the location, and make a threshold judgment: when the air humidity is greater than 90% and/or the rainfall rate is not zero, the reference station sends a weather condition awareness to the target station The trigger command is started, and the temperature value, air humidity value, rainfall rate value at the reference station and the water vapor attenuation correction number of the link per unit length or the rain attenuation correction number of the link per unit length are sent to the target station associated with the reference station.

Alternatively, the reference station sends a weather condition awareness start trigger command to the core network or the sensing network element of the core network, and the core network or the sensing network element of the core network determines the range of weather condition awareness, the target station for performing weather condition awareness, and possible other reference stations.

Or, the reference station sends the measured air humidity or rainfall rate to the core network or the sensing network element of the core network, and the core network or the sensing network element of the core network decides whether to perform weather condition sensing and the area range of weather condition sensing.

The operation of the reference station is the same as in Embodiment 1.

Target station operation, with embodiment 1.

The follow-up information reporting process, etc., are the same as in Embodiment 1.

It should be noted that, the weather sensing method provided in the embodiment of the present application may be executed by a weather sensing device, or a control module in the weather sensing device for executing the weather sensing method. In the embodiment of the present application, the weather sensing device provided in the embodiment of the present application is described by taking the weather sensing device executing the weather sensing method as an example.

Fig. 9 is a schematic structural diagram of a weather sensing device according to an embodiment of the present application, and the device may correspond to the first communication node in other embodiments. As shown in FIG. 9 , the device 900 includes the following modules.

The determining module 902 may be used to determine a weather attenuation correction value; wherein, the weather attenuation correction value is used to correct the weather attenuation measurement value to obtain a corrected weather attenuation value, and the corrected weather attenuation value is used to determine Weather index value.

Optionally, the apparatus 900 may further include a processor, a communication module, and the like.

In the weather perception device provided in the embodiment of the present application, the determination module determines the weather attenuation correction value, so that when using the power attenuation of the received signal of the cellular communication base station for weather perception, the weather attenuation measurement value can be corrected by the weather attenuation correction value to obtain The corrected meteorological attenuation value, and determine the weather index value according to the corrected meteorological attenuation value. Through the above weather attenuation correction value, the error in the weather perception of the cellular communication base station can be reduced as much as possible, and the weather perception performance can be improved.

Optionally, as an embodiment, the meteorological attenuation correction value is a water vapor attenuation correction value, and the weather index value includes at least one of the following: air water vapor density value, air relative humidity value, air visibility value and fog level value and/or, the meteorological attenuation correction value is a rain attenuation correction value, and the weather index value includes a rainfall rate.

Optionally, as an embodiment, the meteorological attenuation correction value is a water vapor attenuation correction value, and the determination module 902 is configured to: obtain the measurement reference medium attenuation value according to the transmission signal power attenuation; according to the reference air temperature and the dry air attenuation model obtain the reference dry air attenuation value; obtain the reference water vapor attenuation value according to the reference air temperature, reference humidity and water vapor attenuation model; obtain the Water vapor attenuation correction value described above.

Optionally, as an embodiment, the meteorological attenuation correction value is a rain attenuation correction value, and the determination module 902 is configured to: obtain the measurement reference medium attenuation value according to the transmission signal power attenuation; Obtain the reference dry air attenuation value; Obtain the reference water vapor attenuation value according to the reference temperature, reference humidity and water vapor attenuation model; Obtain the reference rain attenuation value according to the reference rainfall rate and rain attenuation model; According to the measured reference medium attenuation value, the The rain attenuation correction value is obtained by referring to the dry air attenuation value, the reference water vapor attenuation value, the pre-obtained wet aperture attenuation value and the reference rain attenuation value.

Optionally, as an embodiment, the determining module 902 is further configured to: obtain the humidity according to the reference medium attenuation value measured under the first weather index and the reference medium attenuation value measured under the second weather index. Aperture attenuation value; wherein, the first weather index includes no rain and no fog; the second weather index includes no fog within a preset period of time after rainfall.

Optionally, as an embodiment, the meteorological attenuation correction value is a water vapor attenuation correction value, and the determination module 902 is configured to: obtain a reference air temperature and a reference humidity; according to the mapping relationship table and the reference air temperature and reference humidity, A water vapor attenuation correction value corresponding to the reference air temperature and reference humidity is obtained; wherein, the mapping relationship table includes mapping relationships between a plurality of reference air temperature and reference humidity and a plurality of water vapor attenuation correction values.

Optionally, as an embodiment, the meteorological attenuation correction value is a rain attenuation correction value, and the determination module 902 is configured to: obtain a reference air temperature, a reference humidity, and a reference rainfall rate; according to the mapping relationship table and the reference air temperature , reference humidity and reference rainfall rate, to obtain the rain attenuation correction value corresponding to the reference temperature, reference humidity and reference rainfall rate; wherein, the mapping relationship table includes multiple reference temperatures, multiple reference humidity and multiple Mapping relationship between reference rainfall rate and multiple rain attenuation correction values.

Optionally, as an embodiment, the device further includes a communication module, configured to send the weather attenuation correction value to one or more second communication nodes.

Optionally, as an embodiment, the determining module 902 is configured to at least one of the following: determine the weather attenuation correction value when a trigger instruction is received; periodically determine the weather attenuation correction value; The relative humidity value and/or the rainfall rate, and determine the meteorological attenuation correction value under the condition that the trigger condition is determined to be met.

Optionally, as an embodiment, the device further includes a processing module, configured to: correct the meteorological attenuation measurement value according to the meteorological attenuation correction value to obtain a corrected meteorological attenuation value, and according to the corrected meteorological attenuation value, The weather attenuation value determines the weather index value; wherein, the determining module 902 is configured to receive a weather attenuation correction value.

Optionally, as an embodiment, the weather attenuation correction value is a water vapor attenuation correction value, the corrected weather attenuation value is a corrected water vapor attenuation value, and the processing module is configured to: according to the transmission signal power attenuation Obtain the target medium attenuation value; Obtain the target dry air attenuation value according to the reference air temperature and the dry air attenuation model; Obtain the measured water vapor attenuation value according to the target medium attenuation value and the target dry air attenuation value; According to the measured water vapor attenuation value and The water vapor attenuation correction value obtains a corrected water vapor attenuation value; at least one of the following is determined according to the corrected water vapor attenuation value: an air water vapor density value and an air relative humidity value.

Optionally, as an embodiment, when the determined air relative humidity value is greater than or equal to a preset value, the processing module is further configured to: refer to the air temperature and the water vapor attenuation model according to the preset air relative humidity value Obtain an actual water vapor attenuation value; obtain a fog attenuation value according to the actual water vapor attenuation value and the measured water vapor attenuation value; determine at least one of the following according to the fog attenuation value and the fog attenuation model: air visibility value and fog level value.

Optionally, as an embodiment, the weather attenuation correction value is a rain attenuation correction value, the corrected weather attenuation value is a corrected rain attenuation value, and the processing module is configured to: according to the transmission signal power attenuation obtain the target medium attenuation value; obtain the target dry air attenuation value according to the reference temperature and the dry air attenuation model; obtain the target water vapor attenuation value according to the reference temperature, reference humidity and water vapor attenuation model; according to the target medium attenuation value, the The target dry air attenuation value, the target water vapor attenuation value and the pre-obtained wet aperture attenuation value are used to obtain the measured rain attenuation value; the corrected rain attenuation value is obtained according to the measured rain attenuation value and the rain attenuation correction value; according to the obtained The corrected rain attenuation value is used to determine the rainfall rate.

The device 900 according to the embodiment of the present application can refer to the process of the method 200 corresponding to the embodiment of the present application, and each unit/module in the device 900 and the above-mentioned other operations and/or functions are respectively in order to realize the corresponding process in the method 200, And can achieve the same or equivalent technical effect, for the sake of brevity, no more details are given here.

The weather sensing device in the embodiment of the present application may be a device, a device with an operating system or an electronic device, or it may be a component, an integrated circuit, or a chip in a terminal. The apparatus or electronic equipment may be a mobile terminal or a non-mobile terminal. Exemplarily, the mobile terminal may include but not limited to the types of terminals 11 listed above, and the non-mobile terminal may be a server, a network attached storage (Network Attached Storage, NAS), a personal computer (personal computer, PC), a television ( television, TV), teller machines or self-service machines, etc., are not specifically limited in this embodiment of the present application.

The weather sensing device provided in the embodiment of the present application can realize various processes realized by the method embodiments in FIG. 2 to FIG. 8 and achieve the same technical effect. To avoid repetition, details are not repeated here.

Optionally, as shown in FIG. 10 , this embodiment of the present application further provides a communication device 1000, including a processor 1001, a memory 1002, and programs or instructions stored in the memory 1002 and operable on the processor 1001, For example, when the communication device 1000 is a terminal, when the program or instruction is executed by the processor 1001, each process of the above weather perception method embodiment can be realized, and the same technical effect can be achieved. When the communication device 1000 is a network-side device, when the program or instruction is executed by the processor 1001, the various processes of the above-mentioned weather sensing method embodiments can be achieved, and the same technical effect can be achieved. To avoid repetition, details are not repeated here.

The embodiment of the present application also provides a terminal, including a processor and a communication interface, and the processor or the communication interface is used to determine the weather attenuation correction value; wherein, the weather attenuation correction value is used to correct the weather attenuation measurement value to obtain the correction The modified meteorological attenuation value is used to determine the weather index value. This terminal embodiment corresponds to the above-mentioned terminal-side method embodiment, and each implementation process and implementation mode of the above-mentioned method embodiment can be applied to this terminal embodiment, and can achieve the same technical effect. Specifically, FIG. 11 is a schematic diagram of a hardware structure of a terminal implementing an embodiment of the present application.

The terminal 1100 includes but is not limited to: a radio frequency unit 1101, a network module 1102, an audio output unit 1103, an input unit 1104, a sensor 1105, a display unit 1106, a user input unit 1107, an interface unit 1108, a memory 1109, and a processor 1110, etc. at least some of the components.

Those skilled in the art can understand that the terminal 1100 may also include a power supply (such as a battery) for supplying power to various components, and the power supply may be logically connected to the processor 1110 through the power management system, so as to manage charging, discharging, and power consumption through the power management system. Management and other functions. The terminal structure shown in FIG. 11 does not constitute a limitation on the terminal, and the terminal may include more or fewer components than shown in the figure, or combine some components, or arrange different components, which will not be repeated here.

It should be understood that, in the embodiment of the present application, the input unit 1104 may include a graphics processor (Graphics Processing Unit, GPU) 11041 and a microphone 11042, and the graphics processor 11041 is used for the image capture device ( Such as the image data of the still picture or video obtained by the camera) for processing. The display unit 1106 may include a display panel 11061, and the display panel 11061 may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 1107 includes a touch panel 11071 and other input devices 11072 . Touch panel 11071, also called touch screen. The touch panel 11071 may include two parts, a touch detection device and a touch controller. Other input devices 11072 may include, but are not limited to, physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, and joysticks, which will not be repeated here.

In the embodiment of the present application, the radio frequency unit 1101 receives the downlink data from the network side device, and processes it to the processor 1110; in addition, sends the uplink data to the network side device. Generally, the radio frequency unit 1101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like.

The memory 1109 can be used to store software programs or instructions as well as various data. The memory 1109 may mainly include a program or instruction storage area and a data storage area, wherein the program or instruction storage area may store an operating system, an application program or instructions required by at least one function (such as a sound playback function, an image playback function, etc.) and the like. In addition, the memory 1109 may include a high-speed random access memory, and may also include a non-transitory memory, wherein the non-transitory memory may be a read-only memory (Read Only Memory, ROM), a programmable read-only memory (Programmable ROM, PROM), erasable programmable read-only memory (Erasable PROM, EPROM), electrically erasable programmable read-only memory (Electrically EPROM, EEPROM) or flash memory. For example at least one disk storage device, flash memory device, or other non-transitory solid state storage device.

The processor 1110 may include one or more processing units; optionally, the processor 1110 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, application programs or instructions, etc., Modem processors mainly handle wireless communications, such as baseband processors. It can be understood that the foregoing modem processor may not be integrated into the processor 1110 .

Wherein, the radio frequency unit 1101 or the processor 1110 can be used to determine the weather attenuation correction value; wherein, the weather attenuation correction value is used to correct the weather attenuation measurement value to obtain a corrected weather attenuation value, and the corrected weather attenuation value Meteorological attenuation values are used to determine weather index values.

The terminal provided in the embodiment of the present application determines the weather attenuation correction value, so that when the received signal power attenuation of the cellular communication base station is used for weather perception, the weather attenuation measurement value can be corrected by the weather attenuation correction value to obtain the corrected Meteorological attenuation value, and determine the weather index value according to the corrected meteorological attenuation value. Through the above weather attenuation correction value, the error in the weather perception of the cellular communication base station can be reduced as much as possible, and the weather perception performance can be improved.

The terminal 1100 provided in the embodiment of the present application can also implement the various processes of the above-mentioned weather perception method embodiment, and can achieve the same technical effect. To avoid repetition, details are not repeated here.

The embodiment of the present application also provides a network side device, including a processor and a communication interface, and the processor or the communication interface is used to determine the weather attenuation correction value; wherein the weather attenuation correction value is used to correct the weather attenuation measurement value to A corrected meteorological attenuation value is obtained, and the corrected meteorological attenuation value is used to determine a weather index value. The network-side device embodiment corresponds to the above-mentioned network-side device method embodiment, and each implementation process and implementation mode of the above-mentioned method embodiment can be applied to this network-side device embodiment, and can achieve the same technical effect.

Specifically, the embodiment of the present application also provides a network side device. As shown in FIG. 12 , the network side device 1200 includes: an antenna 121 , a radio frequency device 122 , and a baseband device 123 . The antenna 121 is connected to the radio frequency device 122 . In the uplink direction, the radio frequency device 122 receives information through the antenna 121, and sends the received information to the baseband device 123 for processing. In the downlink direction, the baseband device 123 processes the information to be sent and sends it to the radio frequency device 122 , and the radio frequency device 122 processes the received information and sends it out through the antenna 121 .

The foregoing frequency band processing device may be located in the baseband device 123 , and the method performed by the network side device in the above embodiments may be implemented in the baseband device 123 , and the baseband device 123 includes a processor 124 and a memory 125 .

The baseband device 123 can include at least one baseband board, for example, a plurality of chips are arranged on the baseband board, as shown in FIG. The operation of the network side device shown in the above method embodiments.

The baseband device 123 may also include a network interface 126 for exchanging information with the radio frequency device 122, such as a common public radio interface (Common Public Radio Interface, CPRI).

Specifically, the network-side device in the embodiment of the present application further includes: instructions or programs stored in the memory 125 and operable on the processor 124, and the processor 124 calls the instructions or programs in the memory 125 to execute the modules shown in FIG. 9 To avoid duplication, the method of implementation and to achieve the same technical effect will not be repeated here.

The embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the various processes of the above embodiments of the weather perception method are realized, and the same can be achieved. To avoid repetition, the technical effects will not be repeated here.

Wherein, the processor may be the processor in the terminal described in the foregoing embodiments. The readable storage medium includes computer readable storage medium, such as computer read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk, etc.

The embodiment of the present application further provides a chip, the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the above-mentioned weather perception method embodiment Each process can achieve the same technical effect, so in order to avoid repetition, it will not be repeated here.

It should be understood that the chip mentioned in the embodiment of the present application may also be called a system-on-chip, a system-on-chip, a system-on-a-chip, or a system-on-a-chip.

The embodiment of the present application further provides a computer program product, the computer program product is stored in a non-transitory storage medium, and the computer program product is executed by at least one processor to implement the various processes of the above weather perception method embodiment, And can achieve the same technical effect, in order to avoid repetition, no more details here.

The embodiment of the present application further provides a communication device, which is configured to execute the various processes of the foregoing weather perception method embodiments, and can achieve the same technical effect. To avoid repetition, details are not repeated here.

It should be noted that, in this document, the term "comprising", "comprising" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or apparatus comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of additional identical elements in the process, method, article, or apparatus comprising that element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved. Functions are performed, for example, the described methods may be performed in an order different from that described, and various steps may also be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation. Based on such an understanding, the technical solution of the present application can be embodied in the form of computer software products, which are stored in a storage medium (such as ROM/RAM, magnetic disk, etc.) , CD-ROM), including several instructions to enable a terminal (which may be a mobile phone, computer, server, air conditioner, or network-side device, etc.) to execute the methods described in various embodiments of the present application.

The embodiments of the present application have been described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementations. The above-mentioned specific implementations are only illustrative and not restrictive. Those of ordinary skill in the art will Under the inspiration of this application, without departing from the purpose of this application and the scope of protection of the claims, many forms can also be made, all of which belong to the protection of this application.

Claims

A method of weather perception, comprising:

The first communication node determines a weather attenuation correction value;

Wherein, the weather attenuation correction value is used to correct the weather attenuation measured value to obtain a corrected weather attenuation value, and the corrected weather attenuation value is used to determine the weather index value.
The method according to claim 1, wherein,

The meteorological attenuation correction value is a water vapor attenuation correction value, and the weather index value includes at least one of the following: air water vapor density value, air relative humidity value, air visibility value and fog level value; and/or,

The meteorological attenuation correction value is a rain attenuation correction value, and the weather index value includes a rainfall rate.
The method according to claim 2, wherein the weather attenuation correction value is a water vapor attenuation correction value, and determining the weather attenuation correction value by the first communication node includes:

The first communication node obtains a measurement reference medium attenuation value according to the transmission signal power attenuation;

Obtain the reference dry air attenuation value according to the reference air temperature and the dry air attenuation model;

Obtaining a reference water vapor attenuation value according to the reference air temperature, reference humidity and water vapor attenuation model;

The water vapor attenuation correction value is obtained according to the measured reference medium attenuation value, the reference dry air attenuation value and the reference water vapor attenuation value.
The method according to claim 2, wherein the weather attenuation correction value is a rain attenuation correction value, and determining the weather attenuation correction value by the first communication node includes:

The first communication node obtains a measurement reference medium attenuation value according to the transmission signal power attenuation;

Obtain the reference dry air attenuation value according to the reference air temperature and the dry air attenuation model;

Obtaining a reference water vapor attenuation value according to the reference air temperature, reference humidity and water vapor attenuation model;

Obtain the reference rain attenuation value according to the reference rainfall rate and the rain attenuation model;

The rain attenuation correction value is obtained according to the measured reference medium attenuation value, the reference dry air attenuation value, the reference water vapor attenuation value, the pre-obtained wet aperture attenuation value and the reference rain attenuation value.
The method according to claim 4, wherein, before the first communication node determines the weather attenuation correction value, the method further comprises:

The first communication node obtains the wet aperture attenuation value according to the reference medium attenuation value measured under the first weather index and the reference medium attenuation value measured under the second weather index;

Wherein, the first weather index includes no rain and no fog; the second weather index includes no fog within a preset time period after the rain.
The method according to claim 2, wherein the weather attenuation correction value is a water vapor attenuation correction value, and determining the weather attenuation correction value by the first communication node includes:

The first communication node acquires a reference air temperature and a reference humidity;

Obtaining a water vapor attenuation correction value corresponding to the reference air temperature and reference humidity according to the mapping relationship table and the reference air temperature and reference humidity;

Wherein, the mapping relationship table includes mapping relationships between multiple reference air temperatures and reference humidity and multiple water vapor attenuation correction values.
The method according to claim 6, wherein, before the first communication node determines the weather attenuation correction value, the method further comprises:

The first communication node generates the mapping relationship table according to multiple reference air temperatures, multiple reference humidity and multiple calculated water vapor attenuation correction values.
The method according to claim 2, wherein the weather attenuation correction value is a rain attenuation correction value, and determining the weather attenuation correction value by the first communication node comprises:

The first communication node acquires reference air temperature, reference humidity and reference rainfall rate;

Obtaining a rain attenuation correction value corresponding to the reference air temperature, reference humidity, and reference rainfall rate according to the mapping relationship table and the reference air temperature, reference humidity, and reference rainfall rate;

Wherein, the mapping relationship table includes mapping relationships between multiple reference air temperatures, multiple reference humidity, multiple reference rainfall rates and multiple rain attenuation correction values.
The method according to claim 8, wherein, before the first communication node determines the weather attenuation correction value, the method further comprises:

The first communication node generates the mapping relationship table according to multiple reference air temperatures, multiple reference humidity, multiple reference rainfall rates and multiple calculated rain attenuation correction values.
The method according to any one of claims 1 to 9, wherein, after the first communication node determines the weather attenuation correction value, the method further includes:

The first communication node sends the weather attenuation correction value to one or more second communication nodes.
The method according to any one of claims 1 to 10, wherein the method further comprises:

The first communication node sends at least one of the following to one or more second communication nodes: reference air temperature, reference humidity and reference rainfall rate.
The method according to any one of claims 1-11, wherein the determination of the weather attenuation correction value by the first communication node includes at least one of the following:

The first communication node determines a weather attenuation correction value when a trigger instruction is received;

The first communication node periodically determines a weather attenuation correction value;

The first communication node determines the weather attenuation correction value when it is determined that the trigger condition is met according to the acquired relative air humidity value and/or rainfall rate.
The method according to claim 2, wherein the method further comprises:

The first communication node corrects the weather attenuation measurement value according to the weather attenuation correction value to obtain a corrected weather attenuation value, and determines a weather index value according to the corrected weather attenuation value;

Wherein, the first communication node determining the weather attenuation correction value includes: the first communication node receiving the weather attenuation correction value.
The method according to claim 13, wherein the weather attenuation correction value is a water vapor attenuation correction value, the corrected weather attenuation value is a corrected water vapor attenuation value, and the first communication node according to the weather attenuation The correction value corrects the measured meteorological attenuation value to obtain a corrected meteorological attenuation value, and determining the weather index value according to the corrected meteorological attenuation value includes:

The first communication node obtains a target medium attenuation value according to the transmission signal power attenuation;

Obtain the target dry air attenuation value according to the reference air temperature and the dry air attenuation model;

obtaining a measured water vapor attenuation value according to the target medium attenuation value and the target dry air attenuation value;

obtaining a corrected water vapor attenuation value according to the measured water vapor attenuation value and the water vapor attenuation correction value;

At least one of the following is determined according to the corrected water vapor attenuation value: an air water vapor density value and an air relative humidity value.
The method according to claim 14, wherein, when the determined relative air humidity value is greater than or equal to a preset value, the method further comprises:

The first communication node obtains the actual water vapor attenuation value by referring to the air temperature and the water vapor attenuation model according to the preset air relative humidity value;

obtaining a fog attenuation value according to the actual water vapor attenuation value and the measured water vapor attenuation value;

At least one of the following is determined according to the fog attenuation value and the fog attenuation model: an air visibility value and a fog level value.
The method according to claim 13, wherein the weather attenuation correction value is a rain attenuation correction value, the corrected weather attenuation value is a corrected rain attenuation value, and the first communication node is based on the weather attenuation The correction value corrects the measurement of the meteorological attenuation value to obtain the corrected meteorological attenuation value, and determining the weather index value according to the corrected meteorological attenuation value includes:

The first communication node obtains a target medium attenuation value according to the transmission signal power attenuation;

Obtain the target dry air attenuation value according to the reference air temperature and the dry air attenuation model;

Obtaining a target water vapor attenuation value according to the reference temperature, reference humidity, and water vapor attenuation model;

Obtaining a measured rain attenuation value according to the target medium attenuation value, the target dry air attenuation value, the target water vapor attenuation value and the pre-obtained wet aperture attenuation value;

obtaining a corrected rain attenuation value according to the measured rain attenuation value and the rain attenuation correction value;

A rainfall rate is determined based on the corrected rain attenuation value.
A weather sensing device, including:

Determine module, be used for determining meteorological attenuation correction value;

Wherein, the weather attenuation correction value is used to correct the weather attenuation measured value to obtain a corrected weather attenuation value, and the corrected weather attenuation value is used to determine the weather index value.
The apparatus of claim 17, wherein,

The meteorological attenuation correction value is a water vapor attenuation correction value, and the weather index value includes at least one of the following: air water vapor density value, air relative humidity value, air visibility value and fog level value; and/or,

The meteorological attenuation correction value is a rain attenuation correction value, and the weather index value includes a rainfall rate.
The device according to claim 18, wherein the weather attenuation correction value is a water vapor attenuation correction value, and the determination module is configured to:

Obtain the measurement reference medium attenuation value according to the transmission signal power attenuation;

Obtain the reference dry air attenuation value according to the reference air temperature and the dry air attenuation model;

Obtaining a reference water vapor attenuation value according to the reference air temperature, reference humidity and water vapor attenuation model;

The water vapor attenuation correction value is obtained according to the measured reference medium attenuation value, the reference dry air attenuation value and the reference water vapor attenuation value.
The device according to claim 18, wherein the weather attenuation correction value is a rain attenuation correction value, and the determination module is configured to:

Obtain the measurement reference medium attenuation value according to the transmission signal power attenuation;

Obtain the reference dry air attenuation value according to the reference air temperature and the dry air attenuation model;

Obtaining a reference water vapor attenuation value according to the reference air temperature, reference humidity and water vapor attenuation model;

Obtain the reference rain attenuation value according to the reference rainfall rate and the rain attenuation model;

The rain attenuation correction value is obtained according to the measured reference medium attenuation value, the reference dry air attenuation value, the reference water vapor attenuation value, the pre-obtained wet aperture attenuation value and the reference rain attenuation value.
The device according to claim 20, wherein the determining module is further configured to:

Obtaining the wet aperture attenuation value according to the reference medium attenuation value measured under the first weather index and the reference medium attenuation value measured under the second weather index;

Wherein, the first weather index includes no rain and no fog; the second weather index includes no fog within a preset time period after the rain.
The device according to claim 18, wherein the weather attenuation correction value is a water vapor attenuation correction value, and the determination module is configured to:

Obtain the reference air temperature and reference humidity;

Obtaining a water vapor attenuation correction value corresponding to the reference air temperature and reference humidity according to the mapping relationship table and the reference air temperature and reference humidity;

Wherein, the mapping relationship table includes mapping relationships between multiple reference air temperatures and reference humidity and multiple water vapor attenuation correction values.
The device according to claim 18, wherein the weather attenuation correction value is a rain attenuation correction value, and the determination module is configured to:

Obtain reference air temperature, reference humidity and reference rainfall rate;

Obtaining a rain attenuation correction value corresponding to the reference air temperature, reference humidity, and reference rainfall rate according to the mapping relationship table and the reference air temperature, reference humidity, and reference rainfall rate;

Wherein, the mapping relationship table includes mapping relationships between multiple reference air temperatures, multiple reference humidity, multiple reference rainfall rates and multiple rain attenuation correction values.
The device according to any one of claims 17 to 23, wherein the device further comprises a communication module, configured to send the weather attenuation correction value to one or more second communication nodes.
The device according to any one of claims 17 to 24, wherein the determination module is configured for at least one of the following:

Determination of meteorological attenuation corrections upon receipt of a trigger command;

periodically determine meteorological attenuation corrections;

According to the obtained air relative humidity value and/or rainfall rate, the meteorological attenuation correction value is determined when the trigger condition is determined to be met.
The device according to claim 18, wherein the device further comprises a processing module configured to:

Correcting the weather attenuation measurement value according to the weather attenuation correction value to obtain a corrected weather attenuation value, and determining the weather index value according to the corrected weather attenuation value;

Wherein, the determining module is configured to receive a weather attenuation correction value.
The device according to claim 26, wherein the weather attenuation correction value is a water vapor attenuation correction value, and the corrected weather attenuation value is a corrected water vapor attenuation value, and the processing module is configured to:

Obtain the target medium attenuation value according to the transmission signal power attenuation;

Obtain the target dry air attenuation value according to the reference air temperature and the dry air attenuation model;

obtaining a measured water vapor attenuation value according to the target medium attenuation value and the target dry air attenuation value;

obtaining a corrected water vapor attenuation value according to the measured water vapor attenuation value and the water vapor attenuation correction value;

At least one of the following is determined according to the corrected water vapor attenuation value: an air water vapor density value and an air relative humidity value.
The device according to claim 27, wherein, when the determined relative air humidity value is greater than or equal to a preset value, the processing module is further configured to:

According to the preset air relative humidity value, the actual water vapor attenuation value is obtained by referring to the temperature and water vapor attenuation model;

obtaining a fog attenuation value according to the actual water vapor attenuation value and the measured water vapor attenuation value;

At least one of the following is determined according to the fog attenuation value and the fog attenuation model: an air visibility value and a fog level value.
The device according to claim 26, wherein the weather attenuation correction value is a rain attenuation correction value, and the corrected weather attenuation value is a corrected rain attenuation value, and the processing module is configured to:

Obtain the target medium attenuation value according to the transmission signal power attenuation;

Obtain the target dry air attenuation value according to the reference air temperature and the dry air attenuation model;

Obtaining a target water vapor attenuation value according to the reference temperature, reference humidity, and water vapor attenuation model;

Obtaining a measured rain attenuation value according to the target medium attenuation value, the target dry air attenuation value, the target water vapor attenuation value and the pre-obtained wet aperture attenuation value;

obtaining a corrected rain attenuation value according to the measured rain attenuation value and the rain attenuation correction value;

A rainfall rate is determined based on the corrected rain attenuation value.
A communication device, including a processor, a memory, and a program or instruction stored in the memory and operable on the processor, when the program or instruction is executed by the processor, the claim 1 is realized to the weather perception method described in any one of 16.
A readable storage medium, wherein a program or an instruction is stored on the readable storage medium, and when the program or instruction is executed by a processor, the weather perception method according to any one of claims 1 to 16 is implemented.