CN116723152B - Data transmission method and system of intelligent distribution transformer quick detection device - Google Patents
Data transmission method and system of intelligent distribution transformer quick detection device Download PDFInfo
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- H04L47/00—Traffic control in data switching networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
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Abstract
The invention discloses a data transmission method and a system of an intelligent distribution transformer quick detection device, wherein the data transmission method comprises the following steps: after the cloud confirms that data interaction is carried out with the terminal based on the authentication result, the terminal reports network test information to the cloud, and an information reporting strategy is determined based on the network test information and current test condition information; when the quick detection device is connected to a local area network or a mobile network, the quick detection device reports test information according to an information reporting strategy; when the quick detection device is connected with the terminal, the cloud end sends a detection task and an information reporting strategy to the terminal, the terminal sends the detection task to the quick detection device through close-range communication after receiving the detection task, and the terminal reports the test information according to the information reporting strategy. The invention dynamically adjusts the information reporting strategy according to the network environment and the test condition, and simultaneously combines the security access platform and the authority management to ensure the data security, thereby providing an effective data transmission solution for the monitoring and the management of the intelligent distribution transformer quick inspection.
Description
Technical Field
The invention belongs to the technical field of detection data transmission, and particularly relates to a data transmission method and system of an intelligent distribution transformer quick detection device.
Background
With the rapid development of intelligent distribution transformer technology, real-time monitoring and management of the operating conditions of transformers has become a key to improving the reliability and stability of power systems. Intelligent distribution transformers are increasingly used in modern power systems, and through real-time data acquisition, analysis and data processing, fault diagnosis, state evaluation and optimal control of power equipment are achieved, so that power supply reliability and power system operation efficiency are improved. In order to realize remote monitoring and management of the distribution transformer, data acquired by the on-site quick detection device are required to be transmitted to the cloud for analysis and processing. However, during data transmission, challenges such as network environment instability, data security, and transmission speed may be faced.
In the conventional data transmission method, a fixed uploading strategy is generally adopted, and the data uploading speed and the uploading amount are kept unchanged regardless of the network condition. The utility model discloses a distribution transformer monitor terminal, including main control module, data processing module, AD converter, collection module, power module, storage module, protection module, man-machine interaction module, communication module and control backstage, main control module respectively with data processing module, power module, storage module, protection module, man-machine interaction module, communication module connect, communication module is connected to the control backstage, main control module passes data to the control backstage through communication module and carries out arrangement and analysis by the control backstage to data, and collection module passes through AD converter and connects data processing module to give data processing module with the signal transfer who gathers and carry out arithmetic processing. Although the data processing module and the main control module are combined, the device has a simple structure, and can realize the functions of data acquisition, conversion, processing, storage, interaction, transmission and the like. However, the method can ensure the efficiency of data transmission only under the condition of stable network environment, and can cause the problems of limited data transmission speed, data loss, transmission delay and the like when the fluctuation of the network environment is large. In addition, the existing data transmission method often ignores rights management, so that potential safety hazards of data are caused. Therefore, an intelligent data transmission method is urgently needed, and not only can the information reporting strategy be dynamically adjusted according to the real-time network condition and the test condition, but also the safety of data can be ensured.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a data transmission method of an intelligent distribution transformer quick-checking device, which comprises the following steps:
after the cloud terminal confirms the authentication result of the terminal based on the security access platform and performs data interaction with the terminal, the terminal reports network test information to the cloud terminal;
the cloud end determines an information reporting strategy based on the network test information and the current test condition information reported by the terminal;
the cloud end sends a detection task and an information reporting strategy to the quick detection device according to the network access state of the quick detection device, and the quick detection device reports test information according to the information reporting strategy, or sends the detection task and the information reporting strategy to the terminal, the terminal sends the detection task to the quick detection device through close-range communication after receiving the detection task, and the terminal reports the test information according to the information reporting strategy;
and the secure access platform also determines whether to allow the current information reporting strategy to be determined according to the network test information reported by the terminal based on whether the terminal has the authority to check the secret key.
The information reporting strategy is determined by the cloud according to network test information and current test condition information reported by a terminal side, and specifically comprises the following steps:
pre-distributing priority weights for each data category of the current test condition information;
scoring network quality based on network conditions of network test information reported by the terminal;
normalizing the remaining amount of data to be transmitted to a score between 0 and 1, wherein 0 represents the maximum amount of data and 1 represents the minimum amount of data;
calculating a comprehensive score by combining the network quality score and the residual data volume score;
and determining a dynamic compression adjustment strategy and a dynamic part reporting adjustment strategy according to the comprehensive score and the priority weight.
The scoring the network quality based on the network condition of the network test information reported by the terminal comprises the following steps:
network quality score = a bandwidth score + beta delay score,
where α and β are weight coefficients, and α+β=1.
The calculating a composite score combining the network quality score and the remaining data volume score comprises:
composite score = γ network quality score + δ remaining data volume score,
where γ and δ are weight coefficients, and γ+δ=1.
The dynamic compression adjustment strategy comprises the steps of distributing a compression strategy for each data category according to the comprehensive score and a preset compression level threshold;
determining the dynamic partial reporting adjustment strategy comprises determining whether each data category needs to be reported according to the comprehensive score and a preset partial reporting threshold.
Wherein the assigning a compression policy to each data class comprises:
when the composite score is less than the first threshold, a high-level compression algorithm Brotli is used;
when the composite score is between the first threshold value and the second threshold value, a compression algorithm Deflate is used;
the compression algorithm is LZ4 when the composite score is greater than the second threshold.
Wherein, determining whether each data category needs reporting according to the comprehensive score and the preset partial reporting threshold value includes:
when the comprehensive score is greater than a third threshold, uploading all data;
when the comprehensive score is between the third threshold value and the fourth threshold value, only uploading the key data and the original test data;
when the composite score is less than the fourth threshold, only the critical data is uploaded.
The key data and the original test data respectively correspond to different priority weights.
Wherein, the authority of checking the key is managed by using the role-based access control RBAC, the authority of checking the data is allocated to each role, one or more roles are allocated to each user, and the authority of the user is determined according to the associated role.
When the user logs in, the security access platform verifies the credentials of the user and generates an access token, and when the user needs to modify data, the client sends the access token to the security access platform, the security access platform verifies the validity of the access token and the role authority of the user, and after the user is determined to have the checking authority, the security access platform distributes a checking key;
and the security access platform further determines whether the terminal has the authority of checking the secret key or not, and transmits the network test data to the cloud after determining the current information reporting strategy according to the network test information reported by the terminal.
After the quick detection device or the terminal reports the test information according to the information reporting strategy, the terminal or the quick detection device reports the corresponding data required by the terminal or the quick detection device based on the cloud requirements for the data content which is not reported in the adjustment strategy according to the dynamic part reporting.
The method comprises the steps that at a terminal side and a quick detection device side, all data are divided into a plurality of parts, a unique index is allocated to each part, and for the data uploaded to a cloud, the index and metadata information of the data are stored in a cloud database;
when the cloud end needs to inquire the data which are not uploaded, the cloud end determines indexes of the data which are needed through the stored metadata information, and then sends a data request to a terminal or a quick detection device, wherein the data request contains data index information;
the terminal or the quick detection device searches a corresponding data block according to the data index in the data request, and then sends the data block to a cloud;
the cloud receives the data and stores the data into a database, and then the cloud updates the data index and the metadata information.
The invention also provides a data transmission system of the intelligent distribution transformer quick-checking device, and the data transmission method using the intelligent distribution transformer quick-checking device comprises a cloud end, a terminal and the quick-checking device, wherein the cloud end, the terminal and the quick-checking device are sequentially in communication connection, or the cloud end is respectively in communication connection with the terminal and the quick-checking device;
the cloud end is used for confirming data interaction with the terminal based on the authentication result of the terminal by the security access platform, determining an information reporting strategy based on network test information and current test condition information reported by the terminal, and sending a detection task and the information reporting strategy to the quick detection device or sending the detection task and the information reporting strategy to the terminal according to the network access state of the quick detection device;
the terminal is used for reporting network test information to the cloud, receiving the detection task and the information reporting strategy, then sending the detection task to the quick detection device through close-range communication, and reporting the test information according to the information reporting strategy;
and the quick detection device is used for reporting the test information according to the information reporting strategy.
The invention provides a computer readable medium, on which a computer program is stored, wherein the computer program, when being executed by a processor, realizes the steps in the data transmission method of the intelligent distribution transformer quick-checking device.
According to the data transmission method and system of the intelligent distribution transformer quick-checking device, the network test information is reported in real time, the information reporting strategy is dynamically adjusted according to the network environment and the current test condition information, and meanwhile, the safety access platform and the authority management are combined to ensure the data safety. Not only improves the data transmission efficiency, but also enhances the data security, and provides an effective data transmission solution for monitoring and managing the intelligent distribution transformer.
Drawings
The above, as well as additional purposes, features, and advantages of exemplary embodiments of the present disclosure will become readily apparent from the following detailed description when read in conjunction with the accompanying drawings. Several embodiments of the present disclosure are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which like reference numerals refer to similar or corresponding parts and in which:
FIG. 1 is a flow chart illustrating a data transmission method of an intelligent distribution transformer quick-check device according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a method of determining an information reporting policy according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail below with reference to the accompanying drawings, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, the "plurality" generally includes at least two.
It should be understood that although the terms first, second, third, etc. may be used to describe … … in embodiments of the present invention, these … … should not be limited to these terms. These terms are only used to distinguish … …. For example, the first … … may also be referred to as the second … …, and similarly the second … … may also be referred to as the first … …, without departing from the scope of embodiments of the present invention.
It should be understood that the term "and/or" as used herein is merely one relationship describing the association of the associated objects, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrase "if determined" or "if detected (stated condition or event)" may be interpreted as "when determined" or "in response to determination" or "when detected (stated condition or event)" or "in response to detection (stated condition or event), depending on the context.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a product or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such product or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a commodity or device comprising such element.
The invention discloses a data transmission system of an intelligent quick-checking device, which comprises a cloud (material quality supervision platform), wherein the cloud performs data interaction with a terminal based on an authentication result of a security access platform, the terminal side is used for interactively reporting information such as network test and the like with the cloud side, the cloud determines an information reporting strategy based on network test information and current test condition information reported by the terminal, when the quick-checking device is accessed to a local area network or a mobile network, the cloud can directly issue a detection task and the information reporting strategy to the quick-checking device, and when the quick-checking device is connected with the terminal in a short-distance communication mode and is not directly accessed to the local area network or the mobile network, the cloud sends the detection task and the information reporting strategy to the terminal, and after the detection task is received by the terminal, the detection task is sent to the quick-checking device through short-distance communication, and the terminal performs information reporting according to the information reporting strategy. In addition, the secure access platform also determines whether to allow the current information reporting strategy to be determined according to the network test information reported by the terminal based on whether the terminal has the authority to check the secret key. The security access platform and the cloud can be deployed in the same network node or can be respectively completed by different network nodes.
In the data transmission of the intelligent quick-checking device, the data types to be transmitted are very many, including test data and test result data, and possibly test conclusion data, and a large number of test objects are added, so that the test data volume is very large, and a method for dynamically adjusting the information reporting strategy is needed. In addition, the invention also provides a safe information viewing and modifying mode, wherein the cloud terminal interacts with the terminal side based on the authentication result of the safe access platform, and the information viewing and modifying mode comprises information viewing and modifying.
As shown in fig. 1, the invention provides a data transmission method of an intelligent distribution transformer quick-checking device, which comprises the following steps:
after the cloud terminal confirms the authentication result of the terminal based on the security access platform and performs data interaction with the terminal, the terminal reports information such as network test and the like to the cloud terminal, wherein the security access platform also determines whether to allow the current information reporting strategy to be determined according to the network test information reported by the terminal based on whether the terminal has the authority of checking the secret key;
the cloud end determines an information reporting strategy based on the network test information and the current test condition information reported by the terminal;
the cloud end sends a detection task and an information reporting strategy to the quick detection device according to the network access state of the quick detection device, and the quick detection device reports test information according to the information reporting strategy, or sends the detection task and the information reporting strategy to the terminal, the terminal sends the detection task to the quick detection device through close range communication after receiving the detection task, and the terminal reports the test information according to the information reporting strategy. The network access state comprises a state that the quick detection device is accessed to the local area network or the mobile network, and a state that the quick detection device and the terminal are connected in a short-distance communication mode and are not directly accessed to the local area network or the mobile network. The current test condition information is data obtained after the quick detection device performs the test.
The scheme of the invention can improve the data transmission speed of the intelligent quick-checking device while ensuring the data safety. The method is favorable for realizing efficient and safe data processing and analysis, thereby improving the application value of the intelligent rapid detection device in the field of material quality supervision.
As shown in fig. 2, the information reporting policy is determined by the cloud according to network test information and current test condition information reported by the terminal side, and specifically includes the following steps:
step 1-1, data classification and priority allocation: each data category is pre-assigned a priority weight, for example: critical data such as test conclusion data (weight: 3), raw test data (weight: 2), and other ancillary data such as test GPS location, etc. (weight: 1).
And step 1-2, scoring the network quality, namely scoring the network condition (bandwidth and delay) reported by the terminal. The method for determining the network quality score is as follows:
network quality score = α bandwidth score + β delay score
Wherein, alpha and beta are weight coefficients, which can be adjusted according to practical conditions. The bandwidth score and the delay score are respectively between 0 and 1, and represent the quality of the network condition.
The bandwidth score and the delay score may be normalized to between 0 and 1 under a 5G network. Taking bandwidth as an example, let the lowest available bandwidth be b_min (e.g., 10 Mbps) and the highest available bandwidth be b_max (e.g., 1000 Mbps). The actual measured bandwidth is B actual. The bandwidth score may be calculated as:
bandwidth score = (b_actual-b_min)/(b_max-b_min).
Also, for the delay score, let l_min be the lowest delay (e.g., 1 ms) and l_max be the highest delay (e.g., 100 ms). The actual measured delay is L actual. The delay score may be calculated as:
delay score = 1- (l_actual-l_min)/(l_max-l_min), where the delay score is 1 minus the delay normalization value, indicating that a lower delay represents better network conditions, a higher score should be obtained.
The weight coefficients alpha and beta can be adjusted according to the requirements of the actual application scene. For example, if the demand for bandwidth is higher, the value of α may be increased; conversely, if the delay requirement is higher, the value of β may be increased. The selection of the weight coefficient can enable the network quality score to better meet the requirements of actual scenes.
For example, in a 5G network, it is assumed that the actually measured bandwidth is 500Mbps, the delay is 20ms, α is 0.7, and β is 0.3. The bandwidth score and the delay score are respectively:
bandwidth score = (500-10)/(1000-10) ≡0.51,
delay score = 1- (20-1)/(100-1)/(0.81),
calculating a network quality score according to the weight coefficients of alpha and beta:
network quality score = 0.7 x 0.51 + 0.3 x 0.81 x 0.62.
A network quality score of 0.62 indicates that the current network conditions are at a medium level.
Step 1-3, grading the residual data quantity to be transmitted: the remaining data amount is normalized to a score between 0 and 1, where 0 represents the largest data amount and 1 represents the smallest data amount. The data to be transmitted is the data which needs to be transmitted after the quick detection device performs the test.
Step 1-4, comprehensive score calculation: calculating a composite score in combination with the network quality score and the remaining data volume score:
composite score = γ network quality score + δ remaining data volume score,
wherein, gamma and delta are weight coefficients, which can be adjusted according to practical conditions.
The network quality is very important to the real-time performance and accuracy of data uploading, and the residual data quantity has relatively small influence on the priority of data uploading. Thus, a greater weight is assigned to the network quality score and a lesser weight is assigned to the remaining data volume score. If γ can be set to 0.8 and δ to 0.2, this means that the contribution of the network quality score to the composite score is 80% and the contribution of the remaining data volume score to the composite score is 20%.
And step 1-5, determining a dynamic compression adjustment strategy and reporting the adjustment strategy to the dynamic part.
The dynamic compression adjustment strategy comprises the step of distributing a proper compression strategy to each data category according to the comprehensive score and a preset compression level threshold. For example, when the composite score is greater than 0.8, a lower level compression algorithm is used; when the composite score is between 0.5 and 0.8, a medium level compression algorithm is used; when the composite score is less than 0.5, a higher level compression algorithm is used.
For example, when the composite score is less than 0.5, it is required to achieve higher data transmission efficiency under poor network conditions, and a high-level compression algorithm Brotli is used. When the composite score is between 0.5 and 0.8, the compression algorithm Deflate (for example, implemented by using zlib library) is used, when the composite score is greater than 0.8, the network condition is better, the compression algorithm is LZ4, the compression rate of LZ4 is relatively low, but the compression and decompression speeds are very fast, so that the method is suitable for high-speed network transmission.
Determining the dynamic partial reporting adjustment strategy comprises determining the partial reporting strategy of each data category according to the comprehensive score and a preset partial reporting threshold. For example, when the composite score is greater than 0.7, uploading all data; when the comprehensive score is between 0.4 and 0.7, only uploading the key data and the original test data; when the composite score is less than 0.4, only the critical data is uploaded.
In one embodiment, role-based access control (RBAC) is employed in the present invention to manage the rights to view and modify keys.
Different roles are defined according to the requirements of the application scene, such as an administrator (Admin), a data auditor (Reviewer), a data entry player (DataEntry), and the like. Each character is assigned rights to view and modify the data. Each user is assigned one or more roles. The rights of the user will be determined according to their associated roles. When a user logs in, the secure access platform verifies the user's credentials and generates an access token (e.g., JWT). The access token will contain the user's role information and other necessary metadata. When a user needs to view or modify data, the client sends an access token to the secure access platform. The security access platform verifies the validity of the access token and the role authority of the user, and determines whether to allow the current information reporting strategy to be determined according to the network test information reported by the terminal based on whether the terminal has the authority of checking the secret key. If the user has the viewing authority, the secure access platform will distribute the viewing key; if the user has modification rights, the secure access platform will assign the modification key. The assigned keys may be used to unlock the corresponding data operations. The user performs the corresponding data operation using the assigned viewing key or the modification key. And when the user has the viewing right, the viewing key can be carried in the data packet when the network test information is reported, the security access platform determines whether the network test information reported by the terminal can be used as a policy basis based on the viewing key, and the cloud end determines an initial dynamic compression policy and a dynamic partial reporting policy and subsequent policy adjustment based on the network test information reported by the terminal. And after the secure access platform determines that the authentication is passed, the network test data are transmitted to the cloud. In addition, the cloud end can also determine a corresponding test binding relation based on the position coordinates of the terminal and the position record of the device to be tested.
In an embodiment, for a part of reporting policies, the corresponding data required for the data which is not reported in time due to the network condition can be reported by the terminal or the fast-checking device based on the cloud requirements. The implementation method comprises the following steps:
on the terminal side and the quick-check device side, all data are divided into a plurality of parts, and each part is assigned a unique index (e.g., a data block ID). For example, a large data file is divided into a plurality of 1 MB-sized data blocks, and each data block is assigned a unique data block ID.
For the data uploaded to the cloud, the index and metadata information of the data can be stored in a cloud database so as to facilitate subsequent retrieval.
For example, a data index table is created for storing index information of each data block. The data index table may contain the following fields: data block ID, data block size, data block status, fast check device ID, time stamp (time of data block generation). And creating a metadata information table for storing other information related to the data. The metadata information table may contain the following fields: quick check device ID, data type (indicating type of data, e.g., test environment data, test result data, test conclusion data), test item: class C tests a specific test item type (e.g., wire wound resistance measurement), test object (task of test object may be saved), test time.
When the cloud end needs to inquire the data which are not uploaded, the cloud end can determine indexes of the needed data through the stored metadata information, and then sends a data request to the terminal or the quick detection device. The request should include data index information to facilitate the terminal or quick-check device to locate the desired data.
After receiving the cloud data request, the terminal or the quick detection device searches corresponding data according to the data index in the request, and then sends the data to the cloud.
The cloud end receives the data and stores the data into a database, and then the cloud end updates the data index and the metadata information to reflect the latest state of the received data.
The invention also provides a data transmission system of the intelligent distribution transformer quick-checking device, and the data transmission method using the intelligent distribution transformer quick-checking device comprises a cloud end, a terminal and the quick-checking device, wherein the cloud end, the terminal and the quick-checking device are sequentially in communication connection, or the cloud end is respectively in communication connection with the terminal and the quick-checking device;
the cloud end is used for confirming data interaction with the terminal based on the authentication result of the terminal by the security access platform, determining an information reporting strategy based on network test information and current test condition information reported by the terminal, and sending a detection task and the information reporting strategy to the quick detection device or sending the detection task and the information reporting strategy to the terminal according to the network access state of the quick detection device;
the terminal is used for reporting network test information to the cloud, receiving the detection task and the information reporting strategy, then sending the detection task to the quick detection device through close-range communication, and reporting the test information according to the information reporting strategy;
and the quick detection device is used for reporting the test information according to the information reporting strategy.
The invention provides a computer readable medium, on which a computer program is stored, wherein the computer program, when being executed by a processor, realizes the steps in the data transmission method of the intelligent distribution transformer quick-checking device.
It should be noted that the computer readable medium described in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device.
Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.
The foregoing description of the preferred embodiments of the present invention has been presented for purposes of clarity and understanding, and is not intended to limit the invention to the particular embodiments disclosed, but is intended to cover all modifications, alternatives, and improvements within the spirit and scope of the invention as outlined by the appended claims.
Claims (7)
1. A data transmission method of an intelligent distribution transformer quick detection device comprises the following steps:
after the cloud terminal confirms the authentication result of the terminal based on the security access platform and performs data interaction with the terminal, the terminal reports network test information to the cloud terminal;
the cloud end determines an information reporting strategy based on the network test information and the current test condition information reported by the terminal; the current test condition information is data obtained after the quick detection device performs the test;
the cloud end sends a detection task and an information reporting strategy to the quick detection device according to the network access state of the quick detection device, and the quick detection device reports test information according to the information reporting strategy, or sends the detection task and the information reporting strategy to the terminal, the terminal sends the detection task to the quick detection device through close-range communication after receiving the detection task, and the terminal reports the test information according to the information reporting strategy;
the security access platform also determines whether to allow the current information reporting strategy to be determined according to the network test information reported by the terminal based on whether the terminal has the authority of checking the secret key;
the information reporting strategy is determined by the cloud according to network test information and current test condition information reported by a terminal side, and specifically comprises the following steps:
pre-distributing priority weights for each data category of the current test condition information;
scoring network quality based on network conditions of network test information reported by a terminal;
normalizing the amount of data to be transmitted to a score between 0 and 1, wherein 0 represents the maximum amount of data and 1 represents the minimum amount of data;
calculating a composite score comprising a composite score = γ -network quality score + δ -remaining data volume score, wherein γ and δ are weight coefficients and γ + δ = 1;
determining a dynamic compression adjustment strategy and a dynamic part reporting adjustment strategy according to the comprehensive score and the priority weight; the dynamic compression adjustment strategy comprises the steps of distributing a compression strategy for each data category according to the comprehensive score and a preset compression level threshold;
determining a dynamic partial reporting adjustment strategy comprises determining whether each data category needs to be reported according to a comprehensive score and a preset partial reporting threshold value, and specifically comprises the following steps: when the comprehensive score is greater than a third threshold, uploading all data; when the comprehensive score is between the third threshold value and the fourth threshold value, only uploading the key data and the original test data; when the composite score is less than the fourth threshold, only the critical data is uploaded.
2. A data transmission method for an intelligent distribution transformer quick-test apparatus as set forth in claim 1, wherein,
the network quality scoring based on the network condition of the network test information reported by the terminal comprises the following steps:
network quality score = a bandwidth score + beta delay score,
where α and β are weight coefficients, and α+β=1.
3. A method for data transmission in an intelligent distribution transformer quick test apparatus as set forth in claim 1, wherein said assigning a compression policy to each data category comprises:
when the composite score is less than the first threshold, a high-level compression algorithm Brotli is used;
when the composite score is between the first threshold value and the second threshold value, a compression algorithm Deflate is used;
the compression algorithm is LZ4 when the composite score is greater than the second threshold.
4. A data transmission method for an intelligent distribution transformer quick-test apparatus as set forth in claim 1, wherein,
the role-based access control RBAC is adopted to manage the authority of checking the key, each role is allocated with the authority of checking data, each user is allocated with one or more roles, and the authority of the user is determined according to the associated roles.
5. A data transmission method for an intelligent distribution transformer quick-test apparatus as set forth in claim 4, wherein,
when a user logs in, the security access platform verifies the credentials of the user and generates an access token, when the user needs to modify data, the client sends the access token to the security access platform, the security access platform verifies the validity of the access token and the role authority of the user, and after the user is determined to have the checking authority, the security access platform distributes a checking key;
and the security access platform further determines whether the terminal has the authority of checking the secret key or not, and transmits the network test data to the cloud after determining the current information reporting strategy according to the network test information reported by the terminal.
6. The data transmission method of the intelligent distribution transformer fast check device according to claim 1, wherein after the fast check device or the terminal performs test information reporting according to the information reporting policy, the terminal or the fast check device reports the required corresponding data based on the cloud requirement for the data content which is not reported in the dynamic partial reporting adjustment policy.
7. A data transmission system of an intelligent distribution transformer quick-check device, and a data transmission method using the intelligent distribution transformer quick-check device according to any one of claims 1-6, wherein the data transmission system comprises a cloud end, a terminal and a quick-check device, and the cloud end, the terminal and the quick-check device are sequentially in communication connection, or the cloud end is respectively in communication connection with the terminal and the quick-check device;
the cloud end is used for confirming data interaction with the terminal based on the authentication result of the terminal by the security access platform, determining an information reporting strategy based on network test information and current test condition information reported by the terminal, and sending a detection task and the information reporting strategy to the quick detection device or sending the detection task and the information reporting strategy to the terminal according to the network access state of the quick detection device;
the terminal is used for reporting network test information to the cloud, receiving the detection task and the information reporting strategy, then sending the detection task to the quick detection device through close-range communication, and reporting the test information according to the information reporting strategy;
and the quick detection device is used for reporting the test information according to the information reporting strategy.
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