CN113286002B - Power data transmission method based on multi-priority queue - Google Patents
Power data transmission method based on multi-priority queue Download PDFInfo
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- CN113286002B CN113286002B CN202110562403.5A CN202110562403A CN113286002B CN 113286002 B CN113286002 B CN 113286002B CN 202110562403 A CN202110562403 A CN 202110562403A CN 113286002 B CN113286002 B CN 113286002B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/2866—Architectures; Arrangements
- H04L67/30—Profiles
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
- H04L67/61—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources taking into account QoS or priority requirements
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention discloses a power data transmission method based on a multi-priority queue, which comprises the following steps: according to the difference of the data types and the difference of timeliness requirements contained in the transmission tasks, different priority queues are designed, the orderly uploading according to the priority is realized, and the timeliness and the reliability of the data are guaranteed; a feedback regulation mechanism based on a multi-priority queue is designed, the uploading frequency of normal data is adjusted, a screening algorithm of abnormal data is updated, the abnormal data is downloaded and deployed to a terminal in a configuration file mode, the quality of data uploaded by the terminal is improved, the transmission quantity of the data is reduced, and the timeliness of the data is guaranteed; and a bidirectional interaction process of data transmission is designed, so that reliable communication between the terminal and the cloud is realized, and the reliability of data is guaranteed. The invention can reasonably and efficiently realize the transmission of the power data.
Description
Technical Field
The invention relates to a multi-priority queue-based power data transmission method used in the field of power Internet of things.
Background
In the traditional electric power data transmission scheme, data collected by an electric power terminal are transmitted to a master station to be processed in a unified and centralized manner, and the scene of data transmission is single and simple. In recent years, power enterprises apply edge computing technology to power service systems, collect power consumption data of users at high frequency, and perform preliminary abnormal judgment on the power consumption data at a terminal, so that data needing to be uploaded is changed from single "power consumption data" into "normal power consumption data" and "abnormal power consumption data". Meanwhile, the terminal also needs to obtain codes and parameter configuration required for calculation at the edge from the cloud, so that data is converted from unidirectional uploading to bidirectional data transmission, namely normal and abnormal electricity utilization data uploading and configuration file updating and downloading.
The normal electricity utilization data and the abnormal electricity utilization data have different timeliness requirements, and different abnormal data also have different timeliness requirements (for example, abnormal data just screened out and abnormal data accumulated for one day due to network problems; abnormal data screened before one second and abnormal data screened before three seconds); on the other hand, when the uploaded data and the configuration file are in conflict, the priority is also in the problem.
The traditional transmission scheme cannot cope with a scene of bidirectional transmission, and further cannot solve the problem that data required by various timeliness are uploaded simultaneously.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides a power data transmission method based on a multi-priority queue, which can reasonably and efficiently realize the transmission of power data.
One technical scheme for achieving the above purpose is as follows: a power data transmission method based on a multi-priority queue is used for planning data transmission from a terminal to a cloud, the data transmitted by the data are divided into normal power utilization data and abnormal power utilization data, and the method comprises the following steps:
before a transmission task starts, different priority queues are designed according to different types of data contained in the transmission task and different timeliness requirements, wherein the priority of abnormal electricity utilization data is higher than that of normal electricity utilization data, each data packet is placed into each corresponding priority queue, the priority of the data in the queues is adjusted in real time before data transmission is carried out each time, and the data with the highest priority is selected to be uploaded;
in the data transmission task, when a part of queues have low-priority transmission tasks which are in a non-transmission state for a long time, a feedback mechanism informs a cloud end to update a corresponding abnormal detection algorithm and adjust uploading frequency, and the abnormal data is downloaded to a terminal in a configuration file manner, so that the screening precision of abnormal data is improved, the uploading amount of the data is reduced, and the transmission efficiency is optimized;
in the process of processing the bidirectional data transmission between the terminal and the cloud, firstly, sending a request message through the terminal, and replying a corresponding message by the cloud according to the related field information; next, if data transmission is needed, segmenting the data, and sending the data in segments; after transmission is completed, the terminal sends a request to inform the cloud file of completion of transmission; and the cloud receives the message, responds to the request and completes the data transmission process.
Furthermore, the priority queue comprises five types of priorities, wherein the priorities are reduced step by step, the priority of the transmission task in the first-level priority queue is the highest, and the priority of the transmission task in the fifth-level priority queue is the lowest;
first-level priority queue: the method mainly comprises the steps of storing special tasks; the priority of the task which enters the first-level priority queue in the peer-level queue is higher along with the time change of the task entering the queue;
second level priority queue: the method mainly stores the uploading task of abnormal data, and simultaneously requires the time efficiency t; the priority in the peer-level queue changes along with the generation time of the incoming data, and the earlier the generation time is, the higher the priority is;
third-level priority queue: uploading tasks of the abnormal data exceeding the time limit t are mainly stored; the priority in the peer-level queue changes along with the generation time of the incoming data, and the later the generation time is, the higher the priority is;
fourth-level priority queue: the uploading task of normal data is mainly stored, and the priority in the same queue changes along with the generation time of the entering data, and the earlier the generation time is, the higher the priority is;
fifth-level priority queue: the downloading task of the configuration file is mainly stored, and the priority in the same queue changes along with the time of entering the queue, so that the earlier the generation time is, the higher the priority is.
Further, the feedback mechanism includes: when a specified number of backlogs of normal data transmission tasks continuously appear in the fourth-level priority queue or a plurality of tasks requiring updating of the configuration file continuously appear in the fifth-level priority queue and cannot be executed, it is indicated that the normal data uploading frequency of the terminal is too high or the abnormal detection algorithm needs to be adjusted, the terminal sends a request message to request the cloud updating algorithm and adjust the uploading frequency, and the request message is downloaded from the cloud to the terminal in the form of the configuration file.
According to the electric power data transmission method based on the multi-priority queue, in order to ensure reliable transmission of electric power data with different timeliness requirements between the intelligent terminal and the cloud end, a data transmission scheme of the multi-priority queue is adopted, the transmission sequence of the electric power data is reasonably adjusted, and the data transmission efficiency is ensured; the detection algorithm of the terminal for abnormal data and the uploading frequency of normal data are adjusted through a feedback mechanism, and the overall operation efficiency is improved. Compared with the traditional scheme, the method and the device can dynamically adjust the priority of data transmission according to different requirements of practical scenes on timeliness of the power data, and improve the quality of the whole power service system. On the other hand, by a feedback mechanism of the multi-priority queue, the uploading frequency is adjusted in real time, a corresponding abnormality detection algorithm is updated, and the abnormality detection efficiency and the diagnosis capability of the terminal are improved.
Drawings
FIG. 1 is a schematic diagram of power data transmission in a multi-priority queue-based power data transmission method according to the present invention;
FIG. 2 is a diagram of a multi-priority queue of a method for transmitting power data based on the multi-priority queue according to the present invention;
FIG. 3 is a diagram illustrating the variation of the abnormal data transmission task in the multi-priority queue;
FIG. 4 is a diagram of a multi-priority queue normal data request;
FIG. 5 is a feedback diagram of a normal data transmission task in a multi-priority queue;
FIG. 6 is a diagram of a multi-priority queue profile transfer task feedback;
fig. 7 is a diagram of a data transmission mechanism of a power data transmission method based on multi-priority queues according to the present invention.
Detailed Description
In order to better understand the technical solution of the present invention, the following detailed description is given by specific examples:
the invention mainly provides a solution for power data transmission between the terminal and the cloud.
The whole scene is shown in fig. 1, a terminal carries out high-frequency acquisition and compression on power utilization information of a user, extracts data at regular time and uploads the data to a cloud end, and the cloud end confirms the operation state of the terminal and randomly inspects the daily power utilization behavior of the user; on the other hand, abnormal electricity utilization data are screened out through abnormal behavior detection of the high-frequency collected data, compressed into data packets and uploaded to the cloud in real time for further judgment by the cloud; and the cloud end updates the frequency and the abnormal detection algorithm which are uploaded regularly according to the requirement of the actual deployment scene, and transmits the frequency and the abnormal detection algorithm to the terminal through the configuration file. The algorithm of the anomaly detection of the terminal is not fixed, the cloud updates the algorithm of the anomaly detection based on a machine learning method according to the recently received electricity utilization data, and the algorithms need to be issued to the terminal. The terminal feeds back the state of the transmission queue to the cloud end, the screening strategy of abnormal data is adjusted in time, and the uploaded multi-priority queue is guaranteed to meet the requirements of timeliness and reliability.
The power data to be transmitted mainly includes three categories:
1. the terminal uploads normal data at regular time, and the cloud receives the data;
2. the terminal uploads abnormal data, and the cloud receives the data;
3. the terminal sends a request to the cloud end, and the configuration file is downloaded from the cloud end.
The transmission process of the power data comprises three parts: implementation of multi-priority queues, feedback mechanisms, and bi-directional transmission of data. The terminal can continuously collect data, generate an uploading task, place the uploading task into a multi-priority queue, select the task with the highest priority and transmit corresponding data through a bidirectional transmission mechanism.
1. Multi-priority queue
Before the transmission task starts, according to the difference of the task generation time and the difference of the related attributes of the transmission content (the category and the generation time of the data, etc.), five types of priorities are designed, the priorities are reduced step by step, the priority of the transmission task in the first-level priority queue is the highest, and the priority of the transmission task in the fifth-level priority queue is the lowest, as shown in fig. 2:
first level priority queue: the method mainly comprises the steps of storing special tasks; the priority in the peer-level queue changes along with the time of entering the queue, and the task which firstly enters the first-level priority queue has the highest priority.
Second level priority queue: the method mainly stores the uploading task of abnormal data, and simultaneously requires the time efficiency t; the priority in the peer queue changes along with the generation time of the incoming data, and the generation time is the earliest and the priority is the highest.
Third level priority queue: uploading tasks of the abnormal data exceeding the time limit t are mainly stored; the priority in the peer queue changes along with the generation time of the incoming data, and the generation time is the latest and the priority is the highest.
Fourth level priority queue: the method mainly stores the uploading task of normal data, and the priority in the same queue changes along with the generation time of the entering data, the generation time is the earliest, and the priority is the highest.
Fifth level priority queue: the download task of the configuration file is mainly stored, and the priority in the same queue changes along with the time of entering the queue, so that the generation time is the earliest and the priority is the highest.
There are 3 types of data transmission between the terminal and the cloud: uploading abnormal data, uploading normal data and downloading configuration files.
And for the task of transmitting abnormal data, initially putting the task into a second-level priority queue. And when the time period t is exceeded by the abnormal data in the second-level priority queue, moving the abnormal data into a third-level priority queue, as shown in the figure 3.
The task of transmitting normal data is put into the fourth-level priority queue, and a transmission task (a short message) of a request message is generated and put into the first-level priority queue. The main function of the request message is to transmit the state information of the terminal; and informing the cloud of postponing sending the regularly transmitted data, and sending the data only after all abnormal data with higher timeliness requirements are sent. The main fields contained in the request message contain terminal information and normal data information. As shown in fig. 4.
The task requesting the download of the configuration file will be placed in the fifth level priority queue.
2. Feedback mechanism
When the actual effect of the anomaly detection algorithm is poor, the frequency of uploading normal data regularly is too high, or the network condition is poor, the task completion speed is easily lower than the task generation speed, the transmission tasks of the low-priority normal data and the configuration files are overstocked, the anomaly detection algorithm and the uploading period of the terminal need to be adjusted through a feedback mechanism, the diagnosis efficiency of the system is improved, and the data uploading pressure is reduced.
The present invention implements a feedback mechanism based on the multi-priority queue. The concrete implementation is as follows:
when a plurality of (i1, default setting is 4) backlogs of normal data transmission tasks continuously appear in the fourth-level priority queue, or a plurality of (i2, default setting is 2) tasks requesting to update the configuration file continuously appear in the fifth-level priority queue and cannot be executed, the condition that the normal data uploading frequency of the terminal is too high or a certain adjustment space exists in an abnormal detection algorithm is shown. The terminal sends a request message to request the cloud to update the algorithm and adjust the uploading frequency, and the request message is downloaded from the cloud to the terminal in a configuration file mode.
As shown in fig. 5, the fourth task (with a setting value of 4) backlogged in the fourth level priority queue sends out a configuration file update task, and the configuration file update task is placed in the first level priority queue to update the configuration file, but the original transmission task in the fourth level queue is not changed.
As shown in fig. 6, when the second task is backlogged in the fifth-level priority queue (when the setting value is 2), a request message is sent out, the algorithm is requested to be updated and the uploading frequency is timed, the task sending the request message is inserted into the first-level priority queue, a task downloading the configuration file is generated at the same time, and all tasks in the fifth-level queue are cancelled. The former request task is to request the cloud to update the algorithm and the frequency information, and the algorithm and the frequency information are stored in the cloud by a configuration file; the second request task is to download a new configuration file from the cloud.
3. Bidirectional transmission mechanism of data
There are many data interactions in the transmission task, and a reliable bidirectional transmission mechanism needs to be designed, please refer to fig. 7, which is implemented as follows:
the first step is as follows: a terminal sends a request message, wherein the message comprises fields such as the type of a transmission task (uploading normal data, uploading abnormal data, downloading a configuration file, sending the request message and the like), the ID of the terminal, the state information of the terminal, the name of a file to be transmitted and the like; and the cloud end receives the request message, processes corresponding fields according to the task type and generates a response message, wherein the message mainly comprises fields such as a state code and the like. The task type is uploading a file, and the cloud end needs to prepare for receiving a data packet according to the file name; the task type is downloading a configuration file, and the cloud searches for a corresponding file according to the file name and prepares to send the file; the task type is to request to postpone sending normal data, and the cloud end needs to verify the state information of the terminal; the task type is to request updating algorithm and uploading frequency, the cloud end needs to update the algorithm and the frequency, the algorithm and the frequency are stored in a configuration file mode, and downloading is waited.
If the transmission task is just transmitting a "request message", then the next step is not needed, and if the data needs to be transmitted, the next step is entered.
The second step is that: and if the interaction between the terminal and the cloud is successful and the data needs to be transmitted, cutting the data into small data packets and transmitting the data in segments. And if the task is an uploading task, the terminal divides the data and then sends the data to the cloud. And if the configuration file downloading task is performed, the cloud divides the data and sends the data to the terminal.
The third step: the terminal sends a request message, and fields in the message comprise an end field (representing that the transmission of the data packet is ended), a hash code of the file and the like. The cloud end receives the request message, compares the value corresponding to the hash code segment with the hash code of the transmitted file, checks whether the file is transmitted correctly, and generates a response message, wherein the fields in the message comprise an end field (end confirmation), a state code and the like. If the state code indicates that the file transmission is abnormal, re-entering the first step; otherwise, the transmission is finished and the task is finished.
It should be understood by those skilled in the art that the above embodiments are only for illustrating the present invention and are not to be used as a limitation of the present invention, and that changes and modifications to the above described embodiments are within the scope of the claims of the present invention as long as they are within the spirit and scope of the present invention.
Claims (1)
1. A power data transmission method based on a multi-priority queue is used for planning data transmission from a terminal to a cloud, and data transmitted by the data are divided into normal power utilization data and abnormal power utilization data, and is characterized by comprising the following steps:
before a transmission task starts, different priority queues are designed according to different types of data contained in the transmission task and different timeliness requirements, wherein the priority of abnormal electricity utilization data is higher than that of normal electricity utilization data, each data packet is placed into each corresponding priority queue, the priority of the data in the queues is adjusted in real time before data transmission is carried out each time, and the data with the highest priority is selected to be uploaded;
in the data transmission task, when a transmission task with low priority exists in a part of queues and is in a non-transmission state for a long time, a feedback mechanism is used for informing a cloud end to update a corresponding abnormal detection algorithm and adjust uploading frequency, and the abnormal detection algorithm is downloaded to a terminal in a configuration file mode;
in the process of processing bidirectional data transmission between a terminal and a cloud, firstly, sending a request message through the terminal, and replying a corresponding message by the cloud according to related field information; next, if data transmission is needed, segmenting the data, and sending the data in segments; after transmission is completed, the terminal sends a request to inform the cloud file of completion of transmission; the cloud receives the message and responds to the request, the data transmission process is completed,
the priority queue comprises five types of priorities, the priorities are reduced step by step, the priority of a transmission task in the first-stage priority queue is the highest, and the priority of a transmission task in the fifth-stage priority queue is the lowest;
first-level priority queue: the method mainly comprises the steps of storing special tasks; the priority of the task which enters the first-level priority queue in the peer-level queue is higher along with the time change of the task entering the queue;
second-level priority queue: the method mainly stores the uploading task of the abnormal data, and simultaneously requires the uploading task to be within the time limit t; the priority in the peer-level queue changes along with the generation time of the incoming data, and the earlier the generation time is, the higher the priority is;
third-level priority queue: uploading tasks of the abnormal data exceeding the time limit t are mainly stored; the priority in the peer-level queue changes along with the generation time of the incoming data, and the later the generation time is, the higher the priority is;
fourth-level priority queue: the uploading task of normal data is mainly stored, and the priority in the same queue changes along with the generation time of the entering data, and the earlier the generation time is, the higher the priority is;
fifth-level priority queue: mainly stores the download task of the configuration file, and the priority in the same queue changes along with the time of entering the queue, the earlier the generation time is, the higher the priority is,
the feedback mechanism comprises: when a specified number of backlogs of normal data transmission tasks continuously appear in the fourth-level priority queue or a plurality of tasks requesting updating of the configuration file continuously appear in the fifth-level priority queue and cannot be executed, it is indicated that the normal data uploading frequency of the terminal is too high or the abnormal detection algorithm needs to be adjusted, the terminal sends a request message to request the cloud updating algorithm and adjust the uploading frequency, and the request message is downloaded from the cloud to the terminal in the form of the configuration file.
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