CN114025376B - A trustworthy utilization system for 5G idle bandwidth of network load equipment - Google Patents

Abstract

The invention provides a network load device 5G idle time bandwidth credible utilization system which is characterized by comprising an edge calculation module and a cloud server, wherein the edge calculation module is arranged at a power grid terminal and is used for collecting and processing operation data of a device to be tested of the power grid terminal, uploading the operation data to the cloud server based on a 5G network, the edge calculation module can control the uploading of the data according to whether the operation data is abnormal and whether the 5G network is busy, packaging the data and uploading check codes in busy time, uploading the operation data and the packaged data in real time in idle time, and the cloud server determines whether to receive the packaged data through the check codes. The system furthest utilizes the characteristic of high transmission rate of the 5G network, and the running condition of the power grid terminal is reacted to the cloud server for the major and minor time, so that the cloud server can make a decision in time according to the received data.

Description

A trustworthy utilization system for 5G idle bandwidth of network load equipment

Technical field

The present disclosure generally relates to the field of power grid communications, and more specifically to a system for trusted utilization of 5G idle bandwidth of grid load equipment.

Background technique

The extremely low latency and ultra-high reliability transmission mechanism in the 5G high-reliability and low-latency communication URLLC scenario provides network service capabilities with deterministic indicators for power business applications, comprehensively improves operational efficiency and intelligent decision-making levels, and provides the best-cost algorithm. , computing power, and connection capabilities to ensure that industry applications obtain the most appropriate deterministic network service capabilities.

Many power grid bandwidth utilization systems have been developed. After extensive search and reference, we found that the existing bandwidth utilization systems are such as those disclosed with public numbers KR100950744B1, KR101828424B1, CN111181968B and KR101454678B1, including: receiving emergency communications from power grid users The access request message of the service; determine the type of emergency communication service requested by the power grid user based on the access request message, if it is an emergency communication service that is not processed immediately; if it is an emergency communication service that is processed immediately, configure the power grid user with The channel bandwidth corresponding to the maximum rate of the requested emergency communication service; extract the communication processing capability information of the power grid user; configure the channel bandwidth of the power grid communication system according to the communication processing capability information of the power grid user and the signal interference to noise ratio; if the power grid communication system If the bandwidth resources support the configured channel bandwidth, the requested emergency communication service will be received; otherwise, the requested emergency communication service will be rejected. However, this system cannot effectively respond to the operation status of the power grid terminal to the cloud server, and the bandwidth utilization rate is not high.

Contents of the invention

The purpose of the present invention is to propose a trustworthy utilization system for 5G idle bandwidth of network load equipment in view of the existing shortcomings.

The present invention adopts the following technical solutions:

A system for trusted utilization of 5G idle bandwidth for network load equipment, including an edge computing module and a cloud server. The edge computing module is installed at the power grid terminal and is used to collect and process the operation data of the equipment under test at the power grid terminal, and then The above operating data is uploaded to the cloud server based on the 5G network, and the uploaded data follows the following rules:

Rule 1: When there is an abnormality in the running data, upload the data in real time;

Rule 2: The operating data is normal, the 5G network is in idle state, and the data is uploaded in real time;

Rule 3: If the operating data is normal and the 5G network is busy, package the operating data into data blocks and save them locally, and then upload the data blocks when the 5G network is idle;

The edge computing module includes a network status monitoring unit, a transmission unit and a transmission management unit. The transmission unit is used to upload data to the cloud server. The network status monitoring unit is used to monitor the transmission unit to obtain real-time 5G Network status, the transmission management unit selects and manages the devices under test that need to upload data in real time when the 5G network is in a busy state;

The transmission unit includes several transmission ports, and the network status monitoring unit obtains a segmentation function N(t) by monitoring the status of the transmission ports, which represents the number of transmission ports that are in the state of transmitting bytes at time t. The network status monitoring unit The state monitoring unit performs the following processing on the function N(t) in the Tw time period to obtain the state reference number Nu:

Among them, m is the number of segments of function N(t) in the Tw time period, t _i represents the front-end time point of the i-th segment, and t' represents the current moment;

When the state reference number Nu is greater than the threshold Yu, the 5G network is in the busy state; when Nu is not greater than the threshold Yu, the 5G network is in the idle state;

The value of the threshold Yu is:

Yu＝n·b·k ₁ ·k ₂ ·Tw;

Among them, n is the number of transmission ports, b is the number of bytes sent per unit time by the transmission port at full speed, k ₁ is the state of transmitting bytes during the period when the transmission port sends one byte at full speed. The duration, k ₂ is the busy coefficient;

The transmission management unit calculates the upload index B of each device under test:

Among them, Tu is the time for uploading abnormal data in real time, Tz is the time for uploading normal data in real time, and Tp is the time for packaging into data blocks;

The transmission management unit sorts according to the upload index of all devices under test, and selects the device under test to upload data from low to high until the 5G network is in a busy state;

Further, the edge computing module includes a detection unit and a processing unit. The detection unit is used to detect the operating data of the device under test. The processing unit processes the operating data to obtain the abnormal value Vy:

Vy＝e ^T0-T′ +e ^(I0-I′) ·e ^(P0-P′) ;

Among them, T’ is the standard temperature, I’ is the standard current, P’ is the standard power, T0 is the detected temperature, I0 is the detected current, and P0 is the detected power;

When the abnormal value exceeds the threshold, the processing unit determines that the corresponding operating data of the device under test is abnormal;

Further, the edge computing module includes a storage unit, a data compression unit and a verification unit. The data compression unit is used to compress operating data into data blocks. The verification unit processes the data blocks to obtain a verification code. The verification code is directly uploaded to the cloud server, and the data block is stored in the storage unit;

Further, after receiving the data block, the cloud server calculates the verification code on the data block, and compares the verification code with the verification code. If the comparison is consistent, the data block is accepted, and if the comparison is inconsistent, the data block is rejected;

Further, the Tu, Tz and Tp are statistical data obtained within a fixed time period.

The beneficial effects achieved by the present invention are:

Based on the 5G network, this system can upload a large amount of power grid terminal equipment operation data to the cloud server, so that the cloud server can effectively grasp the operation status of the power grid terminal and make decisions when necessary. The type of uploaded data will be based on the importance of the operation data. It is divided into three situations, so that the cloud server can obtain important data in the first time, and distribute and manage the normal data uploaded by the device under test, so that some of the operating data of various devices can be uploaded to the cloud server within a certain period of time. , to achieve the balance of device data.

In order to further understand the features and technical content of the present invention, please refer to the following detailed description and drawings of the present invention. However, the drawings provided are only for reference and illustration and are not used to limit the present invention.

Description of drawings

Figure 1 is a schematic diagram of the overall structural frame of the present invention;

Figure 2 is a schematic diagram of each unit in the edge computing module of the present invention;

Figure 3 is a schematic diagram of the circuit structure of the detection group of the present invention;

Figure 4 is a schematic diagram of the image of function N(t) of the present invention;

Figure 5 is a schematic diagram of the modification of the cache device and the actual transmission device according to the present invention.

Detailed ways

The following is a specific example to illustrate the implementation of the present invention. Those skilled in the art can understand the advantages and effects of the present invention from the content disclosed in this specification. The present invention can be implemented or applied through other different specific embodiments, and various details in this specification can also be modified and changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. In addition, the drawings of the present invention are only simple schematic illustrations and are not depictions based on actual dimensions, as is stated in advance. The following embodiments will further describe the relevant technical content of the present invention in detail, but the disclosed content is not intended to limit the scope of the present invention.

Example 1.

This embodiment provides a system for trusted utilization of 5G idle bandwidth of network load equipment. With reference to Figure 1, it includes an edge computing module and a cloud server. The edge computing module is installed on the power grid terminal and is used to collect and process the waiting data of the power grid terminal. Measure the operating data of the equipment and upload the operating data to the cloud server based on the 5G network. The uploaded data follows the following rules:

Rule 1: When there is an abnormality in the running data, upload the data in real time;

Rule 2: The operating data is normal, the 5G network is in idle state, and the data is uploaded in real time;

Rule 3: If the operating data is normal and the 5G network is busy, package the operating data into data blocks and save them locally, and then upload the data blocks when the 5G network is idle;

The edge computing module includes a network status monitoring unit, a transmission unit and a transmission management unit. The transmission unit is used to upload data to the cloud server. The network status monitoring unit is used to monitor the transmission unit to obtain real-time 5G Network status, the transmission management unit selects and manages the devices under test that need to upload data in real time when the 5G network is in a busy state;

The transmission unit includes several transmission ports, and the network status monitoring unit obtains a segmentation function N(t) by monitoring the status of the transmission ports, which represents the number of transmission ports that are in the state of transmitting bytes at time t. The network status monitoring unit The state monitoring unit performs the following processing on the function N(t) in the Tw time period to obtain the state reference number Nu:

Among them, m is the number of segments of function N(t) in the Tw time period, t _i represents the front-end time point of the i-th segment, and t' represents the current moment;

When the state reference number Nu is greater than the threshold Yu, the 5G network is in the busy state; when Nu is not greater than the threshold Yu, the 5G network is in the idle state;

The value of the threshold Yu is:

Yu＝n·b·k ₁ ·k ₂ ·Tw;

Among them, n is the number of transmission ports, b is the number of bytes sent per unit time by the transmission port at full speed, k ₁ is the state of transmitting bytes during the period when the transmission port sends one byte at full speed. The duration, k ₂ is the busy coefficient;

The transmission management unit calculates the upload index B of each device under test:

Among them, Tu is the time for uploading abnormal data in real time, Tz is the time for uploading normal data in real time, and Tp is the time for packaging into data blocks;

The transmission management unit sorts according to the upload index of all devices under test, and selects the device under test to upload data from low to high until the 5G network is in a busy state;

The edge computing module includes a detection unit and a processing unit. The detection unit is used to detect the operating data of the device under test. The processing unit processes the operating data to obtain the abnormal value Vy:

Vy＝e ^T0-T′ +e ^(I0-I′) ·e ^(P0-P′) ;

Among them, T’ is the standard temperature, I’ is the standard current, P’ is the standard power, T0 is the detected temperature, I0 is the detected current, and P0 is the detected power;

When the abnormal value exceeds the threshold, the processing unit determines that the corresponding operating data of the device under test is abnormal;

The edge computing module includes a storage unit, a data compression unit and a verification unit. The data compression unit is used to compress operating data into data blocks. The verification unit processes the data blocks to obtain a verification code. The verification unit The verification code is directly uploaded to the cloud server, and the data block is stored in the storage unit;

After receiving the data block, the cloud server calculates the data block to obtain a verification code, and compares the verification code with the check code. If the comparison is consistent, the data block is accepted, and if the comparison is inconsistent, the data block is rejected;

The Tu, Tz and Tp are statistical data obtained within a fixed period of time.

Example 2.

This embodiment includes the entire content of Embodiment 1, and provides a system for trusted utilization of 5G idle bandwidth of network load equipment, including an edge computing module and a cloud server. The edge computing module is installed on the power grid terminal for collection and processing. The operation data of the equipment under test at the power grid terminal is uploaded to the cloud server based on the 5G network. The uploaded data follows the following rules:

Rule 1: When there is an abnormality in the running data, upload the data in real time;

Rule 2: The operating data is normal, the 5G network is in idle state, and the data is uploaded in real time;

Rule 3: If the operating data is normal and the 5G network is busy, package the operating data into data blocks and save them locally, and then upload the data blocks when the 5G network is idle;

It should be noted that the 5G network is in a busy state due to real-time uploading of data, and normal data uploaded in real time at this time falls under Rule 2;

With reference to Figure 2, the edge computing module includes a detection unit, a processing unit, a network status monitoring unit, a storage unit, a data compression unit, a verification unit and a transmission unit. The detection unit is used to collect operating data of power grid terminals, including power , current and temperature. The processing unit calculates and processes the operating data and determines whether the operating data is abnormal. The network status monitoring unit is used to monitor whether the 5G network is in a busy state or an idle state. The storage unit is used For storing the data blocks, the data compression unit is used to compress the operating data into data blocks, the verification unit is used to calculate the data blocks to obtain a check code, and the transmission unit is used to transmit the operating data , data block and check code;

The detection unit includes several detection groups, as shown in Figure 3. Each detection group includes an ammeter A, a voltmeter V, a temperature-sensitive resistor R and a protection resistor R. The detection group is installed on the equipment to be tested. In the adjacent circuit, the current value measured by the ammeter is I, and the voltage value measured by the voltmeter is U1;

The processing unit calculates the real-time resistance value r0 of the thermosensitive resistor r as:

Among them, U is the circuit voltage value, R0 is the resistance value of the protection resistor R;

The processing unit compares the real-time resistance value of the thermosensitive resistor with the resistance-temperature relationship table to obtain the real-time temperature value T0 of the area where the detection group is located;

The current value I0 of the device under test measured by the processing unit is:

The power P0 of the device under test measured by the processing unit is:

P0=I0·U;

The processing unit calculates the abnormal value Vy for each detection group:

Vy＝e ^T0-T′ +e ^(I0-I′) ·e ^(P0-P′) ;

Among them, T’ is the standard temperature, I’ is the standard current, and P’ is the standard power;

When the abnormal value exceeds the threshold, the processing unit determines that the corresponding operating data of the device under test is abnormal;

The transmission unit includes several transmission ports. The product of the maximum number of bytes b transmitted by each transmission port per unit time and the number of transmission ports n is the bandwidth Bt of the 5G network:

Bt=n·b;

Each transmission port is provided with a status indicator to indicate the status of the transmission port. The value of the status indicator is 1 or 0. When the value of the status indicator is 1, it means that the transmission port is transmitting bytes. When the value of the status indicator is 0, it means that the transmission port is in a gap of transmitting bytes or in a rest state. When the transmission port is transmitting data at full speed, the value of the status indicator appears as 1. , 0 alternate, and the number of 1 occurrences per unit time is b. When the transmission port is transmitting data in a low-speed state, the value of the status indicator appears as 1, 0 alternate, and the number of 1 occurrences per unit time Less than b, when the transmission port is at rest, the value of the status indicator is always 0;

The network status monitoring unit monitors the value of each status indicator and obtains the relationship function N(t) between the number of status indicators with a value of 1 and time. The status monitoring unit uses a window of length Tw to Function N(t) is processed to determine whether the 5G network is in a busy state or an idle state;

As shown in Figure 4, function N(t) is a segmented function. The end time point of each segment is consistent with the front-end time point of the next segment. The network status monitoring unit is from the current time to the period before Tw time. The function value of the segment window is calculated as follows:

Among them, m is the number of segments in the window, t _i represents the front-end time point of the i-th segment in the window, and t' represents the current moment;

t ₁ and t' satisfy:

Tw=t′-t ₁ ;

When Nu is greater than the threshold Yu, the network status monitoring module determines that the 5G network is in a busy state; when Nu is not greater than the threshold Yu, the network status monitoring module determines that the 5G network is in an idle state;

The value of the threshold Yu is:

Yu＝n·b·k ₁ ·k ₂ ·Tw;

Among them, k ₁ is the length of time when the status indicator value is 1 when sending a byte at full speed of the transmission port, and k ₂ is the busy coefficient;

The data compression unit packs the operating data into data blocks when the 5G network is busy. The verification unit calculates a check code based on the data blocks. The data blocks are stored in the storage unit. The check code passes The transmission unit uploads it to the cloud server. When the network status monitoring unit detects that the 5G network is in an idle state, the storage unit uploads the saved data block to the cloud server through the transmission unit. The cloud server The received data block is calculated and processed to obtain the verification code, and compared with the previously directly received verification code for verification. If the verification code is the same as the verification code, the data block is officially received and decompressed. If the verification code is the same as the verification code, If the code is different, the data block will be refused to be received;

When the edge computing module is responsible for a large number of devices under test running at the same time, the 5G network will be in a busy state. If not managed at this time, some operating data of the devices under test will be packaged and stored in the storage unit for a long time. , the operating data of the remaining devices under test are uploaded to the cloud server in real time, resulting in data imbalance on the cloud server. The edge computing module is equipped with a transmission management unit to upload operating data in real time when the 5G network is busy. Select and manage the equipment to be tested;

The transmission management unit counts the time of the three processing methods of the operating data of the equipment under test. The time for uploading abnormal data in real time is Tu, the time for uploading normal data in real time is Tz, and the time for packaging into data blocks is Tp. The transmission management unit calculates the upload index B of each device under test based on the above three times:

The transmission management unit sorts according to the upload index of all devices to be tested, and the operation data of the device to be tested with a lower upload index B is uploaded first;

Combined with Figure 5, in actual operation, the device under test that needs to package data blocks is called a cache device, and the device that uploads normal data in real time is called a real transmission device. When there is an upload index of the cache device that is smaller than that of all real transmission devices. When uploading the index, change the cache device to the actual transmission device, and select the actual transmission device with the largest upload index to change it to the cache device.

The contents disclosed above are only preferred and feasible embodiments of the present invention, and do not limit the protection scope of the present invention. Therefore, all equivalent technical changes made by using the contents of the description and drawings of the present invention are included in the protection scope of the present invention. Inside, moreover, elements of it can be updated as technology develops.

Claims (5)

1. The system is characterized by comprising an edge computing module and a cloud server, wherein the edge computing module is installed at a power grid terminal and is used for collecting and processing operation data of equipment to be tested of the power grid terminal, uploading the operation data to the cloud server based on a 5G network, and the uploading data complies with the following rules:

rule one: uploading data in real time when the running data is abnormal;

rule II: the operation data is normal, the 5G network is in an idle state, and the data is uploaded in real time;

rule III: the operation data is normal, the 5G network is in a busy state, the operation data is packed into data blocks and stored locally, and the data blocks are uploaded when the 5G network is in the idle state;

the edge computing module comprises a network state monitoring unit, a transmission unit and a transmission management unit, wherein the transmission unit is used for uploading data to the cloud server, the network state monitoring unit is used for monitoring the transmission unit to obtain a real-time 5G network state, and the transmission management unit is used for selecting and managing equipment to be tested which needs to upload data in real time when the 5G network is in a busy state;

the transmission unit comprises a plurality of transmission ports, the network state monitoring unit obtains a piecewise function N (t) by monitoring the states of the transmission ports, the number of the transmission ports in a byte transmission state at the moment t is represented, and the network state monitoring unit obtains a state reference number Nu by carrying out the following processing on the function N (t) in the Tw time period:

where m is the number of segments of the function N (t) in the Tw period, t _i The front end time point of the ith section is represented, and t' represents the current time;

when the state reference number Nu is larger than the threshold value Yu, the 5G network is in a busy state, and when the state reference number Nu is not larger than the threshold value Yu, the 5G network is in an idle state;

the value of the threshold Yu is:

Yu＝n·b·k ₁ ·k ₂ ·Tw；

wherein n is the number of transmission ports, b is the number of bytes transmitted by the transmission ports in unit time under the full speed state, and k ₁ For the time length k of transmitting the byte state in one byte period in the full speed state of the transmission port ₂ Is a busy coefficient;

the transmission management unit calculates an uploading index B of each device to be tested:

wherein Tu is the time of uploading abnormal data in real time, tz is the time of uploading normal data in real time, and Tp is the time of packing into data blocks;

and the transmission management unit sorts the data according to the uploading indexes of all the equipment to be tested, and selects the equipment to be tested to upload the data from low to high until the 5G network is in a busy time state.

2. The system for utilizing the idle bandwidth of the network load device 5G according to claim 1, wherein the edge calculation module includes a detection unit and a processing unit, the detection unit is configured to detect operation data of the device to be tested, and the processing unit processes the operation data to obtain the outlier Vy:

Vy＝e ^T0-T′ +e ^(I0-I′) ·e ^(P0-P′) ；

wherein T ' is a standard temperature, I ' is a standard current, P ' is a standard power, T0 is a detected temperature, I0 is a detected current, and P0 is a detected power;

and when the abnormal value exceeds a threshold value, the processing unit judges that the corresponding operation data of the equipment to be detected is abnormal.

3. The system of claim 2, wherein the edge computing module includes a storage unit, a data compression unit, and a check unit, the data compression unit is configured to compress operation data into data blocks, the check unit processes the data blocks to obtain check codes, the check codes are directly uploaded to a cloud server, and the data blocks are stored in the storage unit.

4. A system for utilizing the idle bandwidth of a network load device 5G according to claim 3, wherein the cloud server calculates the check code from the data block after receiving the data block, compares the check code with the check code, receives the data block if the comparison is consistent, and refuses the data block if the comparison is inconsistent.

5. The system of claim 4, wherein Tu, tz and Tp are data obtained statistically over a fixed period of time.