Device data uploading system and method for SF6 live detection instrument

Abstract

The present invention relates to the technical field of device data uploading. Disclosed in the present invention are a device data uploading system and method for an SF6 live detection instrument. The system comprises: a cloud platform, a mobile end application, and a detection instrument. The cloud platform is used for managing a detection task, storing structured detection data, and providing a remote diagnostic interface; the mobile end application is used for receiving a task instruction from the cloud platform, being connected to the detection instrument, and uploading the detection data; and the detection instrument is used for detecting an SF6 electrical device and generating the detection data, and the detection data is transmitted to the mobile end application via Bluetooth or WiFi. The device data uploading system for an SF6 live detection instrument provided in the present invention realizes paperless and automated electronic management, improves detection efficiency, and reduces labor costs. The accuracy and security of data transmission are ensured, preventing human intervention, and facilitating standardized quality management. Fault early warning is realized, effectively preventing a faulty device from connecting to a network, and improving detection effectiveness.

Description

SF6 live-line testing instrument data upload system and method Technical Field

[0001] This invention relates to the field of equipment data uploading technology, specifically to a data uploading system and method for SF6 live-line testing instruments. Background Technology

[0002] Since the 1960s, sulfur hexafluoride (SF6) gas has been widely used in high-voltage electrical appliances due to its excellent arc-quenching and insulation properties. Gas-insulated metal-enclosed switchgear (GIS) is an important piece of equipment in high-voltage lines, which uses SF6 gas as the insulation and arc-quenching medium.

[0003] The basic characteristics of SF6 gas are that it is non-toxic, has a low liquefaction temperature, and good chemical stability. In terms of insulation, it has a strong breakdown field and its decomposition products are non-conductive. In terms of arc extinguishing ability, it has good arc stability and good thermal conductivity. In terms of economy, it is inexpensive and can be supplied stably.

[0004] Various defects during long-term operation of equipment can deteriorate SF6 gas, causing the equipment to malfunction. Therefore, timely detection of equipment discharge faults and early warning are of great importance.

[0005] Currently, offline testing primarily relies on analyzing SF6 gas composition to determine fault status, using portable instruments to inspect SF6 electrical equipment. However, this method is not ideal for identifying faults. If a problematic gas chamber is found, personnel need to conduct periodic on-site monitoring and summarize the periodic data to assess the operational trend of the SF6 electrical equipment. This work requires regular on-site inspections, consuming significant manpower and time. On-site live-line testing also primarily uses portable instruments to inspect SF6 electrical equipment. One instrument needs to inspect multiple gas chambers, and the test results must be manually recorded on-site and manually entered into a data management system after testing. This process is cumbersome, prone to errors, and lacks timely data analysis capabilities.

[0006] In summary, an intelligent live-line testing system based on SF6 electrical equipment condition analysis was developed. This system can effectively solve the above shortcomings, enabling the instrument to perform its own testing, automatically save the test data according to the tested equipment, automatically upload it to the back-end system, and provide detailed expert diagnosis of the equipment's operating status. Summary of the Invention

[0007] In view of the above-mentioned problems, the present invention is proposed.

[0008] Therefore, the technical problems solved by this invention are: First, the existing testing process relies on manual recording and data uploading, resulting in low efficiency and the inability to guarantee the integrity and accuracy of the testing data; second, due to the lag in manual recording and the frequent errors in manual input, the testing data suffers from poor real-time performance and a high error rate, making it difficult to support timely fault warnings and equipment status tracking; finally, current testing equipment lacks systematic data management and intelligent analysis methods, and cannot effectively uncover potential problems in the equipment's operating status.

[0009] To solve the above-mentioned technical problems, the present invention provides the following technical solution: an SF6 live-line testing instrument and equipment data upload system, comprising:

[0010] Cloud platforms, mobile applications, and testing instruments;

[0011] The cloud platform is used to manage testing tasks, store structured testing data, and provide remote diagnostic interfaces.

[0012] The mobile application is used to receive task instructions from the cloud platform, connect to the testing instrument, and upload testing data.

[0013] The testing instrument is used to test SF6 electrical equipment and generate test data, which is then transmitted to a mobile application via Bluetooth or WiFi.

[0014] As a preferred embodiment of the SF6 live-line testing instrument data upload system of the present invention, the cloud platform includes an archive management module, a task management module, an access control module, a data storage module, and an expert diagnosis module.

[0015] The file management module is used to store electrical equipment file information, user information and site information, and provides information support related to the testing task, which can be called by the task management module to create tasks.

[0016] The task management module is used to create, allocate, and manage detection tasks, and to send task instructions to the task receiving module of the mobile application.

[0017] The access control module is used to set access permissions for the data storage module and the task management module;

[0018] The data storage module is used to receive and structure the detection data uploaded from the mobile application, and supports real-time data query and historical data query.

[0019] The expert diagnostic module is connected to the data storage module and is used to extract structured data for experts to analyze and diagnose, and generate corresponding diagnostic reports.

[0020] As a preferred embodiment of the SF6 live-line testing instrument data upload system of the present invention, the mobile application includes a communication module, a task receiving module, a data transmission module, and a protocol control module.

[0021] The communication module is used to connect with the communication module of the detection instrument via Bluetooth to receive detection data and upload the data to the data storage module of the cloud platform via WiFi.

[0022] The task receiving module is used to receive detection task instructions from the task management module of the cloud platform and send the task information to the task association module of the detection instrument.

[0023] The data transmission module is used to receive detection data from the communication module, and after the data is packaged and verified according to the protocol control module, it is transmitted to the data storage module of the cloud platform via WiFi.

[0024] The protocol control module is used to parse and verify the detection data according to a predetermined data protocol.

[0025] As a preferred embodiment of the SF6 live-line testing instrument data upload system of the present invention, the testing instrument includes a testing module, a communication module, a data encapsulation module and a task association module;

[0026] The detection module is used to detect the composition of SF6 gas and generate detection data;

[0027] The communication module is used to transmit the detection data generated by the detection module to the communication module of the mobile application via Bluetooth.

[0028] The data encapsulation module is used to encapsulate the data generated by the detection module according to a predetermined data frame format. The data frame includes a start code, detection type, control word, data length, data field, and check code.

[0029] The task association module is used to receive task instructions transmitted by the mobile application and associate the detection data with the task code according to the task instructions.

[0030] Another objective of this invention is to provide a data uploading method for SF6 live testing instruments and equipment. Existing SF6 electrical equipment testing methods suffer from problems such as reliance on manual recording, low efficiency, and susceptibility to errors, as well as the optimization of how to achieve intelligent and automated testing processes.

[0031] To solve the above technical problems, the present invention provides the following technical solution: a method for uploading data of SF6 live testing instruments and equipment, comprising: a cloud platform generating a testing task and sending the task instruction to a mobile application and a testing instrument; the mobile application establishing a communication connection with the testing instrument and starting the testing;

[0032] The testing instrument performs testing according to the task instructions and transmits the test data to the mobile application. The mobile application receives the test data and uploads it to the cloud platform.

[0033] The cloud platform receives, stores, and analyzes the detection data.

[0034] As a preferred embodiment of the SF6 live-line testing instrument data upload method described in this invention, the establishment of a communication connection includes: the cloud platform creating a testing task, sending the task instruction to the mobile application and the testing instrument, the mobile application establishing a Bluetooth communication connection with the testing instrument, transmitting the task information to the testing instrument, and starting the testing process;

[0035] The file management module stores electrical equipment file information, user information, and site information. The task management module extracts relevant equipment data and testing parameters from the file management module and generates task codes and task instructions.

[0036] The task management module sends task instructions to the mobile application via the network. After receiving the task instructions, the task receiving module establishes a Bluetooth connection with the communication module of the testing instrument using the communication module, and transmits the task information to the task association module. The task association module completes the identification and initialization of the device according to the task instructions.

[0037] As a preferred embodiment of the SF6 live-line testing instrument data uploading method of the present invention, the step of transmitting the test data to the mobile application includes the testing instrument performing testing according to task information, generating test data, encapsulating the data according to a communication protocol, and transmitting it to the mobile application via Bluetooth.

[0038] The detection module collects SF6 gas components according to the task instructions and generates detection data. The data encapsulation module encapsulates the detection data into data frames. The encapsulated data includes the start code, detection type, control word, data length, data field and CRC16 check code in accordance with the requirements of the communication protocol.

[0039] The communication module transmits encapsulated data to the mobile application's communication module via Bluetooth. After receiving the data frames, the data transmission module parses and verifies the data through the protocol control module. Data that meets the requirements is uploaded to the cloud platform's data storage module via WiFi.

[0040] As a preferred embodiment of the SF6 live-line testing instrument data uploading method described in this invention, the storage and analysis processing includes: a cloud platform receiving and structurally storing the testing data; an expert diagnosis module extracting information from the structured data for analysis and diagnosis; generating and storing diagnostic results.

[0041] The data storage module receives and processes data from the mobile application, classifies and stores the test data according to a preset format, the permission control module sets permissions for the data storage module and the task management module, and the expert diagnosis module extracts test data from the data storage module, analyzes and generates device status and test results, and stores the diagnostic report in the data storage module.

[0042] A computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the SF6 live-line detection instrument data upload method as described above.

[0043] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the SF6 live-line detection instrument data uploading method as described above.

[0044] The beneficial effects of this invention are as follows: The SF6 live-line testing instrument and equipment data upload system provided by this invention realizes real-time uploading and cloud storage management of testing data, greatly improving the efficiency and accuracy of testing work; the system realizes automatic verification of the transmission process through data frame format and protocol control, and combined with the access control module, the security of testing data in transmission, storage and use is significantly improved; the expert diagnosis module performs intelligent analysis and fault early warning based on real-time and historical data, thereby forming a closed-loop management, which further improves the efficiency of equipment fault identification and operation and maintenance, helps to reduce equipment maintenance costs, and improves the safety and reliability of power grid operation. Attached Figure Description

[0045] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0046] Figure 1 is an overall structural diagram of the SF6 live-line testing instrument data upload system provided in an embodiment of the present invention.

[0047] Figure 2 is a system framework diagram of the SF6 live detection instrument data upload system provided in an embodiment of the present invention.

[0048] Figure 3 is an overall flowchart of the data uploading method for SF6 charged detection instruments and equipment provided in an embodiment of the present invention.

[0049] Figure 4 is a flowchart of the data uploading method for SF6 charged detection instruments and equipment provided in an embodiment of the present invention.

[0050] Figure 5 is a work order initiation diagram of the SF6 live detection instrument data upload system provided in an embodiment of the present invention.

[0051] Figure 6 is a diagram of work order-related electrical equipment in the SF6 live-line testing instrument data upload system provided in an embodiment of the present invention.

[0052] Figure 7 is a detection information diagram of the SF6 live detection instrument and equipment data upload system provided in an embodiment of the present invention.

[0053] Figure 8 is a comparison chart of time savings in the data upload system of SF6 live detection instrument equipment provided in an embodiment of the present invention. Detailed Implementation

[0054] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0055] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0056] Example 1, referring to Figures 1-2, illustrates an embodiment of the present invention, providing an SF6 live-line testing instrument data upload system, comprising:

[0057] 100 cloud platforms, 200 mobile applications, and 300 testing instruments;

[0058] The cloud platform 100 is used to manage testing tasks, store structured testing data, and provide remote diagnostic interfaces;

[0059] The mobile application 200 is used to receive task instructions from the cloud platform, connect to the testing instruments, and upload testing data.

[0060] The testing instrument 300 is used to test SF6 electrical equipment and generate test data, which is transmitted to a mobile application via Bluetooth or WiFi.

[0061] The cloud platform 100 includes an archive management module 101, a task management module 102, an access control module 103, a data storage module 104, and an expert diagnosis module 105;

[0062] The file management module 101 is used to store electrical equipment file information, user information and site information, and provides information support related to testing tasks, which can be called by the task management module 102 to create tasks.

[0063] The task management module 102 is used to create, assign and manage detection tasks, and send task instructions to the task receiving module 202 of the mobile application 200.

[0064] The access control module 103 is used to set access permissions for the data storage module 104 and the task management module 102;

[0065] The data storage module 104 is used to receive and structure the detection data uploaded from the mobile application 200, and supports real-time data query and historical data query.

[0066] The expert diagnosis module 105 is connected to the data storage module 104 and is used to extract structured data for experts to analyze and diagnose, and generate corresponding diagnostic reports.

[0067] The mobile application 200 includes a communication module 201, a task receiving module 202, a data transmission module 203, and a protocol control module 204;

[0068] The communication module 201 is used to connect with the communication module 302 of the detection instrument 300 via Bluetooth to receive detection data and upload the data to the data storage module 104 of the cloud platform 100 via WiFi.

[0069] The task receiving module 202 is used to receive detection task instructions from the task management module 102 of the cloud platform 100 and send the task information to the task association module 304 of the detection instrument 300;

[0070] The data transmission module 203 is used to receive detection data from the communication module 201, and after the data is packaged and verified according to the protocol control module 204, it is transmitted to the data storage module 104 of the cloud platform 100 via WiFi.

[0071] The protocol control module 204 is used to parse and verify the detection data according to a predetermined data protocol.

[0072] The testing instrument 300 includes a testing module 301, a communication module 302, a data encapsulation module 303, and a task association module 304;

[0073] The detection module 301 is used to detect the composition of SF6 gas and generate detection data;

[0074] Communication module 302 is used to transmit the detection data generated by detection module 301 to communication module 201 of mobile application 200 via Bluetooth;

[0075] The data encapsulation module 303 is used to encapsulate the data generated by the detection module 301 according to a predetermined data frame format. The data frame includes a start code, detection type, control word, data length, data field, and check code.

[0076] The task association module 304 is used to receive task instructions transmitted by the mobile application 200 and associate the detection data with the task code according to the task instructions.

[0077] This invention achieves the goal of live-line testing and timely, rapid, and accurate data recording by digitally adapting and transforming the electrical equipment testing process.

[0078] The traditional process typically involves: manual assignment of testing tasks, on-site testing, manual recording of testing data, data export, data processing, report writing, and task completion. This process suffers from a lack of supervision and management mechanisms, resulting in low efficiency, poor data quality, and a heavy workload. Through digital adaptation and transformation, an intelligent expert management system for live-line testing data of SF6 electrical equipment has been developed.

[0079] The basic process of digitalization is as follows: the system assigns testing tasks, the system matches electrical equipment management, the system automatically collects testing data, the system makes intelligent on-site preliminary judgment, remote experts assist in the judgment, testing data is transmitted remotely and stored in a structured manner, testing reports are automatically generated, and the task is completed. This achieves refined and intelligent management, standardized operations, and efficient and accurate real-time monitoring of testing tasks, which greatly saves manpower, improves work efficiency, and allows testing personnel to focus more on the execution of standardized operating procedures, thereby improving the quality and efficiency of work on-site.

[0080] To achieve the above basic process, the system structure is divided into three key parts: cloud platform, mobile application, and testing instrument adaptation and modification.

[0081] The cloud platform enables basic archive data management functions, providing basic archive information such as user management, site management, electrical equipment management, and testing instrument management for subsequent work.

[0082] The cloud platform has built basic workflow applications that meet the needs of business scenarios, ensuring that the creation, approval, transfer, and archiving of testing tasks are implemented at each stage.

[0083] The cloud platform implements an access control management system, which enables the setting of personnel for tasks, data verification and reporting, and data archiving as needed, thus effectively controlling data access and preventing it from being arbitrarily tampered with or accessed.

[0084] The cloud platform enables the archiving and querying of structured detection data, allowing for real-time and historical data queries.

[0085] The cloud platform provides an entry point for experts to remotely assist in making judgments.

[0086] The cloud platform enables the storage and retrieval of test reports, allowing for the traceability of tasks and data.

[0087] The cloud platform implements task management functions, including the archiving and recording of personnel and time information involved in the basic processes of task creation, assignment, and termination for future reference.

[0088] Mobile applications overcome the drawbacks of traditional methods where personnel are passively on duty in one place and operate testing instruments by hand. They also overcome the limitations of time and space, upgrade the flexibility of use, and cater to actual work needs. Mobile applications use mobile phone apps or tablet apps as carriers, and we are considering designing Android system applications to facilitate people's work and use.

[0089] The mobile application (APP) can be configured to enable the Bluetooth communication module, allowing users to query and receive test data reported by the instrument in real time via Bluetooth, and to send operation commands to the instrument to execute test actions.

[0090] The mobile application can be configured to enable the Wi-Fi communication module, sending detailed information such as detection data and operation data to the cloud platform via the network.

[0091] As a bridge between testing instruments and cloud platforms, mobile applications (APPs) need to establish communication data standards with all parties to ensure data consistency during processes such as packaging, sending, transmitting, parsing, and storing data in the agreed format.

[0092] The testing instrument requires the addition of a Bluetooth module for communication adaptation and data communication protocol implementation. The instrument provides Wi-Fi / BLE functionality, set to open mode without a password. The mobile terminal app actively connects to the Wi-Fi; upon successful connection, the testing instrument automatically assigns an IP address to the mobile terminal. All testing terminals use passive communication, with the mobile terminal actively requesting data. IP network communication uses the UDP protocol. The data protocol specifies the general conventions, data frame format, testing type, control word definition and format, data structure, and transmission rules for communication between the live-line testing terminal and the mobile terminal. Data packets use a data frame mode, defining the start code, testing type, control word, data field length, data field, and checksum (using CRC16 checksum). 256 control words are available (00H-FFH), which can be expanded according to actual application needs. Detailed data messages can be divided into uplink and downlink, with main functions covering obtaining device information, sending UUID numbers and testing items, initiating individual tests, obtaining real-time test results, querying historical data using unique codes, obtaining the number of information entries, obtaining test data, and ending the test.

[0093] Example 2, referring to Figures 3-4, is an embodiment of the present invention, providing a method for uploading data from SF6 charged testing instruments, including:

[0094] The cloud platform generates a testing task and sends the task instructions to the mobile application and the testing instrument. The mobile application establishes a communication connection with the testing instrument and starts the testing.

[0095] The testing instrument performs testing according to the task instructions and transmits the test data to the mobile application. The mobile application receives the test data and uploads it to the cloud platform.

[0096] The cloud platform receives, stores, and analyzes the detection data.

[0097] Establishing a communication connection includes the cloud platform creating a testing task, sending task instructions to the mobile application and the testing instrument, the mobile application establishing a Bluetooth communication connection with the testing instrument, transmitting task information to the testing instrument, and starting the testing process;

[0098] The file management module stores electrical equipment file information, user information, and site information. The task management module extracts relevant equipment data and testing parameters from the file management module and generates task codes and task instructions.

[0099] The task management module sends task instructions to the mobile application via the network. After receiving the task instructions, the task receiving module establishes a Bluetooth connection with the communication module of the testing instrument using the communication module, and transmits the task information to the task association module. The task association module completes the identification and initialization of the device according to the task instructions.

[0100] Transmitting test data to a mobile application involves the testing instrument performing tests based on task information, generating test data, encapsulating the data according to a communication protocol, and transmitting it to the mobile application via Bluetooth.

[0101] The detection module collects SF6 gas components according to the task instructions and generates detection data. The data encapsulation module encapsulates the detection data into data frames. The encapsulated data includes the start code, detection type, control word, data length, data field and CRC16 check code according to the requirements of the communication protocol.

[0102] The communication module transmits encapsulated data to the mobile application's communication module via Bluetooth. After receiving the data frames, the data transmission module parses and verifies the data through the protocol control module. Data that meets the requirements is uploaded to the cloud platform's data storage module via WiFi.

[0103] The storage and analysis process includes the cloud platform receiving and structuring the detection data, the expert diagnosis module extracting information from the structured data for analysis and diagnosis, generating diagnostic results and storing them;

[0104] The data storage module receives and processes data from the mobile application, classifies and stores the test data according to a preset format, the permission control module sets permissions for the data storage module and the task management module, and the expert diagnosis module extracts test data from the data storage module, analyzes and generates device status and test results, and stores the diagnostic report in the data storage module.

[0105] Example 3, an embodiment of the present invention, differs from the previous two embodiments in that:

[0106] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0107] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0108] More specific examples (a non-exhaustive list) of computer-readable media include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0109] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0110] Example 4, referring to Figures 5-8, is an embodiment of the present invention, providing a data uploading method for SF6 charged detection instruments and equipment. To verify the beneficial effects of the present invention, a simulation experiment is conducted for scientific demonstration.

[0111] S1: Obtain device information

[0112] Download via APP:

[0113] Data format:

[0114] Uplink from device:

[0115] Data format:

[0116] It should be noted that the data field length is 30 bytes, and the format is as follows:

[0117] It should be noted that instrument model numbers less than 15 bytes are indicated by a space 0X20.

[0118] It should be noted that the measurement items are as follows: High 4 bits: BIT4: Decomposition products; BIT5: Purity; BIT6: Moisture; Low 4 bits: ...

[0119] 0: SF6, N2.

[0120] 1:SF6,N2,SF6+N2.

[0121] 2:SF6,N2,SF6+CF4.

[0122] 3:SF6,N2,SF6+N2,SF6+CF4.

[0123] When using SF6,N2 (for China Southern Power Grid), CF4%V CF4%W displays 4 decimal places.

[0124] S2: Send UUID number and detection item to detect and start individual tests.

[0125] App download:

[0126] Data field description:

[0127] It should be noted that the unique test code consists of year, month, day, hour, minute, and a two-byte test number. The APP sends this command to start the test.

[0128] Device uplink:

[0129] The data is 01H, indicating that a detection is being initiated.

[0130] The data is 02H. This indicates that the test is in progress. Please send the test command again later.

[0131] The data is 03H, indicating that preheating is not yet complete.

[0132] The data is 04H, indicating no ventilation.

[0133] The data is 05H, indicating a downlink data error.

[0134] S3: Obtain real-time detection result data

[0135] Obtain real-time test results data.

[0136] Download via APP:

[0137] Device uplink:

[0138] The data is 01H. This indicates that the test is in progress and there are no results yet. Please wait for the data to be available.

[0139] The test is complete and the following data is returned.

[0140] After receiving the data upload command from the platform terminal, the detection terminal immediately replies with the current detection result data, as shown in the following command:

[0141] Data field description:

[0142] It should be noted that: 1. Device status byte description:

[0143] 20 Circuit breaker pre-test.

[0144] 10. Circuit breaker handover.

[0145] 40. Pre-testing of other equipment.

[0146] 30. Handover of other equipment.

[0147] Test data: 32-bit floating-point numbers conforming to the IEEE 754 standard (high byte first, low byte last). If the test data is empty, the 4 bytes of this item are all FFH.

[0148] S4: Query historical data using a unique code

[0149] Historical data can be retrieved by UUID and time.

[0150] Download via APP:

[0151] Data field description:

[0152] The app issues a unique test code to query historical data.

[0153] After receiving the data upload command from the platform terminal, the testing terminal immediately sends data with a unique test code, as shown in the following command:

[0154] Data domain reference 03H

[0155] S5: Number of Information Items Retrieved

[0156] Get the number of information items that have not been uploaded in the current device.

[0157] App download:

[0158] Device uplink:

[0159] The data is: the number of data entries that can be uploaded at present, with the high byte first and the low byte last.

[0160] S6: Acquire detection data

[0161] Retrieve the detection data uploaded from the device. The detection data needs to be sorted in ascending order based on the detection time. Specify the content to return based on the index number provided by the app.

[0162] Download via APP:

[0163] The index number indicates that when sending 1, the device reports the first piece of data; when sending N, the device reports the Nth piece of data.

[0164] Uplink from device:

[0165] After receiving the data upload command from the platform terminal, the detection terminal immediately uploads the data for that index number, as shown in the following command:

[0166] Data domain reference 03H

[0167] S7: End of Detection

[0168] Download via APP:

[0169] Uplink from device:

[0170] After receiving the command from the platform terminal, the detection terminal responds with the following command:

[0171] It should be noted that the communication between the mobile application (APP) and the cloud platform is based on the HTTP protocol, and data is transmitted and processed remotely using readable and parsable data formats such as JSON and XML under the HTTP protocol.

[0172] As shown in Figure 5, detection can be initiated in one of the following ways: (1) the administrator initiates an assignment work order; (2) the system generates and initiates a work order.

[0173] As shown in Figure 6, work orders are associated with electrical equipment. Equipment is accessed in isolation according to its company and site. Equipment can be added in one of the following ways: (1) fill in the form directly; (2) scan the equipment QR code.

[0174] The equipment itself and its corresponding detection information are shown in Figure 7. Figure 8 shows the time savings achieved by comparing the system before and after its application.

[0175] This system achieves paperless and automated testing processes. Through task management and data storage on the cloud platform and real-time data transmission on mobile devices, it realizes fully electronic management from task allocation to data collection, uploading, and analysis. Automatic report generation, structured data storage, and intelligent statistical analysis improve overall work efficiency. Compared with traditional manual recording methods, testing efficiency is increased while reducing human resource investment and lowering operating and management costs.

[0176] This invention ensures the accuracy of data transmission through data frame format and protocol control modules. Combined with an access control module, it further enhances the security of data storage, effectively protecting test data during transmission and management and avoiding the risk of human intervention. The combination of digital processes and access management helps to build a more standardized quality management system.

[0177] Through expert diagnostic modules and structured data analysis, this invention can deeply mine equipment status and potential problems from test data. Through real-time data analysis and historical data tracing, it realizes a closed loop of fault early warning and equipment management, effectively discovers equipment quality problems and prevents problematic equipment from entering the network, and greatly improves the test results.

[0178] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A data upload system for SF6 live-line testing instruments and equipment, characterized in that, include: Cloud platform (100), mobile application (200), and testing instrument (300); The cloud platform (100) is used to manage testing tasks, store structured testing data, and provide a remote diagnostic interface; The mobile application (200) is used to receive task instructions from the cloud platform, connect to the testing instrument, and upload testing data; The testing instrument (300) is used to test SF6 electrical equipment and generate test data, which is transmitted to a mobile application via Bluetooth or WiFi.

2. The SF6 live-line testing instrument data upload system as described in claim 1, characterized in that: The cloud platform (100) includes an archive management module (101), a task management module (102), an access control module (103), a data storage module (104), and an expert diagnosis module (105); The file management module (101) is used to store electrical equipment file information, user information and site information, and provide information support related to the testing task, which can be called by the task management module (102) to create a task; The task management module (102) is used to create, allocate and manage detection tasks, and send task instructions to the task receiving module (202) of the mobile application (200); The access control module (103) is used to set access permissions for the data storage module (104) and the task management module (102); The data storage module (104) is used to receive and structure the detection data uploaded from the mobile application (200), and supports real-time data query and historical data query; The expert diagnosis module (105) is connected to the data storage module (104) and is used to extract structured data for experts to analyze and diagnose, and generate corresponding diagnosis reports.

3. The SF6 live-line testing instrument data upload system as described in claim 2, characterized in that: The mobile application (200) includes a communication module (201), a task receiving module (202), a data transmission module (203), and a protocol control module (204); The communication module (201) is used to connect with the communication module (302) of the detection instrument (300) via Bluetooth to receive detection data and upload the data to the data storage module (104) of the cloud platform (100) via WiFi. The task receiving module (202) is used to receive detection task instructions from the task management module (102) of the cloud platform (100) and send the task information to the task association module (304) of the detection instrument (300); The data transmission module (203) is used to receive detection data from the communication module (201), and after the data is packaged and verified by the protocol control module (204), it is transmitted to the data storage module (104) of the cloud platform (100) via WiFi. The protocol control module (204) is used to parse and verify the detection data according to a predetermined data protocol.

4. The SF6 live-line testing instrument data upload system as described in claim 3, characterized in that: The detection instrument (300) includes a detection module (301), a communication module (302), a data encapsulation module (303), and a task association module (304); The detection module (301) is used to detect the components of SF6 gas and generate detection data; The communication module (302) is used to transmit the detection data generated by the detection module (301) to the communication module (201) of the mobile application (200) via Bluetooth; The data encapsulation module (303) is used to encapsulate the data generated by the detection module (301) according to a predetermined data frame format. The data frame includes a start code, detection type, control word, data length, data field and check code. The task association module (304) is used to receive task instructions transmitted by the mobile application (200) and associate the detection data with the task code according to the task instructions.

5. A method for uploading data from an SF6 charged detection instrument and equipment system as described in any one of claims 1 to 4, characterized in that, include: The cloud platform generates a testing task and sends the task instructions to the mobile application and the testing instrument. The mobile application establishes a communication connection with the testing instrument and starts the testing. The testing instrument performs testing according to the task instructions and transmits the test data to the mobile application. The mobile application receives the test data and uploads it to the cloud platform. The cloud platform receives, stores, and analyzes the detection data.

6. The data upload method for SF6 live-line testing instruments and equipment as described in claim 5, characterized in that: The establishment of the communication connection includes the cloud platform creating a detection task, sending task instructions to the mobile application and the detection instrument, the mobile application establishing a Bluetooth communication connection with the detection instrument, transmitting task information to the detection instrument, and starting the detection process; The file management module stores electrical equipment file information, user information, and site information. The task management module extracts relevant equipment data and testing parameters from the file management module and generates task codes and task instructions. The task management module sends task instructions to the mobile application via the network. After receiving the task instructions, the task receiving module establishes a Bluetooth connection with the communication module of the testing instrument using the communication module, and transmits the task information to the task association module. The task association module completes the identification and initialization of the device according to the task instructions.

7. The data uploading method for SF6 live-line testing instruments and equipment as described in claim 6, characterized in that: The process of transmitting the detection data to the mobile application includes the detection instrument performing detection according to the task information, generating detection data, and then encapsulating the data according to the communication protocol and transmitting it to the mobile application via Bluetooth. The detection module collects SF6 gas components according to the task instructions and generates detection data. The data encapsulation module encapsulates the detection data into data frames. The encapsulated data includes the start code, detection type, control word, data length, data field and CRC16 check code in accordance with the requirements of the communication protocol. The communication module transmits encapsulated data to the mobile application's communication module via Bluetooth. After receiving the data frames, the data transmission module parses and verifies the data through the protocol control module. Data that meets the requirements is uploaded to the cloud platform's data storage module via WiFi.

8. The data uploading method for SF6 live-line testing instruments and equipment as described in claim 4, characterized in that: The storage and analysis process includes the cloud platform receiving and structuring the detection data, the expert diagnosis module extracting information from the structured data for analysis and diagnosis, generating diagnostic results and storing them; The data storage module receives and processes data from the mobile application, classifies and stores the test data according to a preset format, the permission control module sets permissions for the data storage module and the task management module, and the expert diagnosis module extracts test data from the data storage module, analyzes and generates device status and test results, and stores the diagnostic report in the data storage module.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the SF6 charged detection instrument data uploading method as described in any one of claims 5-8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the SF6 charged detection instrument data uploading method as described in any one of claims 5-8.

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