SF6 live detection instrument equipment data uploading system and method

Abstract

The invention discloses an SF6 live detection instrument equipment data uploading system and method, and relates to the technical field of equipment data upload, and the system comprises a cloud platform, a mobile terminal application, and a detection instrument. The cloud platform is used for managing detection tasks, storing structured detection data and providing a remote diagnosis interface; the mobile terminal application is used for receiving a task instruction of the cloud platform, connecting the detection instrument and uploading detection data; the detection instrument is used for detecting the SF6 electrical equipment and generating detection data, and the detection data is transmitted to the mobile terminal application through Bluetooth or WiFi. According to the SF6 live detection instrument equipment data uploading system provided by the invention, paperless and automatic electronic management is realized, the detection efficiency is improved, and the labor cost is reduced. Data transmission accuracy and safety are guaranteed, human intervention is avoided, and standardized quality management is assisted. Fault early warning is realized, network access of problematic equipment is effectively prevented, and the detection effect is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment data uploading, and in particular to a system and method for uploading equipment data of SF6 live detection instruments. Background Art

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

[0003] The basic characteristics of SF6 gas are non-toxicity, low liquefaction temperature, good chemical stability, strong breakdown field and non-conductivity of decomposition products in terms of insulation capability, good arc stability and thermal conductivity in terms of arc extinguishing capability, and low cost and stable supply in terms of economy.

[0004] Various defects in the long-term operation of the equipment will cause the SF6 gas to deteriorate, resulting in the equipment being unable to operate normally. Therefore, it is of great significance to promptly detect equipment discharge failures and issue early warnings.

[0005] At present, offline detection mainly determines the fault status by analyzing the SF6 gas components. It is not easy to find fault problems by using portable instruments to detect SF6 electrical equipment. If a problematic gas chamber is found, personnel need to conduct periodic tracking and monitoring on site and summarize the periodic data to determine the operating trend of the SF6 electrical equipment. The work content requires personnel to conduct regular on-site inspections, which consumes a lot of manpower and time. At present, on-site live-power detection mainly uses portable instruments to detect SF6 electrical equipment. One instrument needs to detect multiple gas chambers. The test results need to be manually recorded by the test personnel on site, and the data must be manually entered into the data management system after the test. The work process is cumbersome, prone to errors, and the current data analysis is not timely enough.

[0006] In view of the above problems, an intelligent live detection system based on SF6 electrical equipment status analysis was developed to effectively solve the above drawbacks. The instrument can detect itself, and the detection data can be automatically saved according to the equipment being tested, automatically uploaded to the background system, and a detailed expert diagnosis of the equipment's operating status can be given. Summary of the invention

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

[0008] Therefore, the technical problems solved by the present invention are: first, the existing detection process relies on manual recording and data uploading, which leads to low efficiency and the integrity and accuracy of the detection data cannot be guaranteed; second, due to the lag of manual recording and frequent manual input errors, the detection data has the problems of poor real-time performance and high error rate, which makes it difficult to support timely fault warning and equipment status tracking; finally, the current detection equipment lacks systematic data management and intelligent analysis methods, and cannot effectively explore potential problems in the equipment operation status.

[0009] In order to solve the above technical problems, the present invention provides the following technical solutions: SF6 live detection instrument data uploading system, comprising:

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

[0011] The cloud platform is used to manage detection tasks, store structured detection data, and provide a remote diagnosis interface;

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

[0013] The detection instrument is used to detect SF6 electrical equipment and generate detection data, and the detection data is transmitted to a mobile application via Bluetooth or WiFi.

[0014] As a preferred solution of the data uploading system of SF6 live detection instrument equipment described in the present invention, wherein: the cloud platform includes a file management module, a task management module, a permission control module, a data storage module and an expert diagnosis module;

[0015] The file management module is used to store the file information of electrical equipment, user information and site information, and provide information support related to the detection task for the task management module to call to create tasks;

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

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

[0018] The data storage module is used to receive and structured store the detection data uploaded by the mobile application, and supports real-time data query and historical data query;

[0019] The expert diagnosis module is connected to the data storage module and is used to extract structured stored data for analysis and diagnosis by experts and generate corresponding diagnosis reports.

[0020] As a preferred solution of the data uploading system of SF6 live detection instrument equipment described in the present invention, wherein: the mobile terminal 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 to the communication module of the detection instrument via Bluetooth to receive the 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 the detection task instruction 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 the detection data from the communication module, and transmit the data to the data storage module of the cloud platform via WiFi after data packaging and verification according to the protocol control module;

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

[0025] As a preferred solution of the data uploading system of the SF6 live detection instrument equipment described in the present invention, wherein: the detection instrument includes a detection 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 terminal 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, and the data frame includes a start code, a detection type, a control word, a data length, a data field and a check code;

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

[0030] Another object of the present invention is to provide a method for uploading data of SF6 live detection instruments and equipment. The existing SF6 electrical equipment detection method has the problems of relying on manual records, low efficiency, and prone to errors, as well as how to optimize the intelligent and automated detection process.

[0031] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for uploading data of SF6 live detection instrument equipment, comprising: a cloud platform generates a detection task and sends the task instruction to a mobile application and a detection instrument, and the mobile application establishes a communication connection with the detection instrument and starts the detection;

[0032] The testing instrument performs the test 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 the detection data and performs storage, analysis and processing.

[0034] As a preferred solution of the method for uploading data of SF6 live detection instrument equipment described in the present invention, wherein: the establishment of a communication connection includes the cloud platform creating a detection task, sending the task instruction to the mobile application and the detection instrument, the mobile application establishing a Bluetooth communication connection with the detection instrument, and transmitting the task information to the detection instrument to start the detection process;

[0035] The archive management module stores the archive information, user information and site information of electrical equipment, and the task management module extracts the relevant equipment data and detection parameters from the archive management module to generate task codes and task instructions;

[0036] The task management module sends the task instructions to the mobile application through the network. After receiving the task instructions, the task receiving module uses the communication module to establish a Bluetooth connection with the communication module of the detection instrument, and passes the task information to the task association module. The task association module completes the equipment identification and initialization operations according to the task instructions.

[0037] As a preferred solution of the data uploading method of the SF6 live detection instrument equipment described in the present invention, wherein: the transmission of the detection data to the mobile terminal application includes the detection instrument performing detection according to the task information, generating the detection data, and encapsulating the data according to the communication protocol, and transmitting it to the mobile terminal application via Bluetooth;

[0038] The detection module collects SF6 gas composition 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.

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

[0040] As a preferred solution of the method for uploading data of SF6 live detection instrument equipment described in the present invention, the storage and analysis processing includes the cloud platform receiving and structured storing the detection data, the expert diagnosis module extracting information from the structured data for analysis and diagnosis, generating and storing the diagnosis results;

[0041] The data storage module receives and processes data from mobile applications, and stores the detection data in a preset format. The permission control module sets permissions for the data storage module and the task management module. The expert diagnosis module extracts the detection data from the data storage module and analyzes it to generate device status and detection results, and stores the diagnosis report in the data storage module.

[0042] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the above-mentioned method for uploading data of SF6 live detection instrument equipment are implemented.

[0043] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned method for uploading data of SF6 live detection instrument equipment.

[0044] Beneficial effects of the present invention: The SF6 live detection instrument equipment data upload system provided by the present invention realizes real-time uploading and cloud storage management of detection data, greatly improving the efficiency and accuracy of detection work; the system realizes automatic verification of the transmission process through data frame format and protocol control, and combined with the authority control module, the security of detection data in transmission, storage and use is significantly improved; the expert diagnosis module conducts intelligent analysis and fault warning based on real-time and historical data, thereby forming a closed-loop management, which further improves equipment fault identification and operation and maintenance efficiency, helps to reduce equipment maintenance costs, and improves the safety and reliability of power grid operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0046] Figure 1 This is an overall structural diagram of a data uploading system for SF6 live detection instrumentation provided in one embodiment of the present invention.

[0047] Figure 2 A system framework diagram of a data upload system for SF6 live detection instrumentation provided in one embodiment of the present invention.

[0048] Figure 3 An overall flow chart of a method for uploading data of SF6 live detection instrument equipment provided in one embodiment of the present invention.

[0049] Figure 4A flowchart of a method for uploading data from an SF6 live detection instrument provided in one embodiment of the present invention.

[0050] Figure 5 A work order initiation diagram for a data upload system for SF6 live detection instrumentation provided in one embodiment of the present invention.

[0051] Figure 6 A diagram of electrical equipment associated with a work order in a data upload system for SF6 live detection instrumentation provided in one embodiment of the present invention.

[0052] Figure 7 This is a detection information diagram of a data upload system for SF6 live detection instrumentation provided in one embodiment of the present invention.

[0053] Figure 8 A time saving comparison chart of a data uploading system for SF6 live detection instrument equipment provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0054] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0055] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0056] Example 1, reference Figure 1-Figure 2 , which is an embodiment of the present invention, provides a data uploading system for SF6 live detection instrument equipment, including:

[0057] Cloud platform 100, mobile application 200 and testing instrument 300;

[0058] The cloud platform 100 is used to manage detection tasks, store structured detection data, and provide a remote diagnosis interface;

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

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

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

[0062] The archive management module 101 is used to store archive information of electrical equipment, user information and site information, and provide information support related to the detection task for the task management module 102 to call to create tasks;

[0063] 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;

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

[0065] The data storage module 104 is used to receive and structuredly store the detection data uploaded by 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 stored data for analysis and diagnosis by experts and generate corresponding diagnosis 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 to the communication module 302 of the detection instrument 300 via Bluetooth to receive the 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 the detection task instruction 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 the detection data from the communication module 201, and transmit the data to the data storage module 104 of the cloud platform 100 via WiFi after data packaging and verification according to the protocol control module 204;

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

[0072] The detection instrument 300 includes a detection 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] 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;

[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, where the data frame includes a start code, a detection type, a control word, a data length, a data field, and a check code;

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

[0077] The present invention realizes the goal of live detection and timely, rapid and accurate data recording through digital adaptation and transformation of the electrical equipment detection process.

[0078] The traditional process generally includes: manual assignment of detection tasks, on-site detection, manual transcription of detection data, data export, data collation, report writing, task completion and other basic links. The process lacks supervision and management means, low work efficiency, poor data quality, and heavy workload. After digital adaptation and transformation, the intelligent expert management system for SF6 electrical equipment live detection data has been developed.

[0079] The basic process of digitalization is: the system assigns detection tasks, the system matches electrical equipment management, the system automatically collects detection data, the system makes intelligent on-site preliminary judgments, remote experts assist in analysis and judgment, remote transmission and structured storage of detection data, automatic generation of detection reports, and task completion. It realizes refined intelligent management, standardized operations, efficient and accurate real-time monitoring of detection tasks, greatly saves manpower, and improves work efficiency. Detection personnel will focus more on the execution of standardized operation processes and improve the work quality and efficiency at the detection site.

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

[0081] The cloud platform realizes the basic archival data management function, providing basic archival information such as user management, site management, electrical equipment, and testing instrument management for subsequent work.

[0082] The cloud platform has built basic workflow applications that meet the needs of business scenarios, ensuring the implementation of creation, approval, circulation, archiving and other requirements of testing tasks in each link.

[0083] The cloud platform implements a permission control management system, which mainly implements the task process, test data verification and reporting, data archiving and other links by setting up personnel as needed, so that data access is effectively controlled and not easily tampered with or taken at will.

[0084] The cloud platform realizes the archiving and query of structured detection data, which can be used for real-time data query and historical data query.

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

[0086] The cloud platform enables the storage and query of test reports, and can trace the origins and development of tasks and data.

[0087] The cloud platform implements the task management function, and the personnel and time information involved in the basic processes such as task creation, assignment, and completion can be archived and recorded for future reference.

[0088] Mobile applications have broken through the drawbacks of traditional personnel passively guarding on the spot and operating detection instruments by hand, broken through the distance limitations in time and space, upgraded the flexibility of use, and in order to cater to actual work needs, mobile applications use mobile phone APP or tablet APP as the carrier, and consider designing Android system applications to facilitate people's work use.

[0089] The mobile application APP can be set to enable the Bluetooth communication module, and through Bluetooth communication, it can query and receive the test data reported by the instrument in real time, and can send operation instructions to the instrument to execute the test action.

[0090] The mobile application APP can be set to enable the Wifi communication module to send detailed information such as detection data and operation data to the cloud platform through the network.

[0091] As the intermediate bridge between testing instruments and cloud platforms, mobile application APP needs to set communication data specifications with all parties to ensure data consistency in the processes of packaging, sending, transmission, parsing, and storage in the agreed data format.

[0092] The detection instrument needs to add Bluetooth module communication adapter and data communication protocol implementation; the detection instrument provides wifi / BLE function, wifi / BLE is set to open mode, and no password is set. The mobile terminal APP actively connects to wifi, and the detection instrument needs to automatically assign an IP to the mobile terminal after the connection is successful; the detection terminals all use passive communication mode, and the mobile terminal actively calls for data; IP network communication uses UDP protocol; the data protocol stipulates the general conventions, data frame format, detection type, control word definition and format, data structure and transmission rules for communication between the live detection terminal and the mobile terminal; the data packet uses the data frame mode, and defines the start code, detection type, control word, data field length, data field, and check code (using CRC16 check) for the data frame; there are 256 control words available (00H--FFH), which can be expanded according to actual application needs; detailed data messages can be divided into uplink or downlink, and the main functions cover obtaining device information, sending UUID number and detection item detection and starting individual tests, obtaining real-time detection result data, querying historical data through unique coding, obtaining the number of information, obtaining detection data, and ending detection.

[0093] Example 2, reference Figure 3-Figure 4 As shown, an embodiment of the present invention provides a method for uploading data of SF6 live detection instrument equipment, including:

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

[0095] The testing instrument performs the test 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 the detection data and performs storage, analysis and processing.

[0097] Establishing a communication connection includes creating a test task on the cloud platform, sending the task instruction to the mobile application and the test instrument, the mobile application establishing a Bluetooth communication connection with the test instrument, and transmitting the task information to the test instrument to start the test process;

[0098] The archive management module stores the archive information, user information and site information of electrical equipment, and the task management module extracts the relevant equipment data and detection parameters from the archive management module to generate task codes and task instructions;

[0099] The task management module sends the task instructions to the mobile application through the network. After receiving the task instructions, the task receiving module uses the communication module to establish a Bluetooth connection with the communication module of the detection instrument, and passes the task information to the task association module. The task association module completes the equipment identification and initialization operations according to the task instructions.

[0100] Transmitting the detection data to the mobile application includes the detection instrument performing detection according to the task information, generating detection data, and packaging the data according to the communication protocol and transmitting the data to the mobile application via Bluetooth;

[0101] The detection module collects SF6 gas composition 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 the encapsulated data to the communication module of the mobile application via Bluetooth. After receiving the data frame, the data transmission module parses and verifies the data through the protocol control module. The data that meets the requirements is uploaded to the data storage module of the cloud platform via WiFi.

[0103] Storage and analysis processing includes the cloud platform receiving and structuring the storage of test data, the expert diagnosis module extracting information from the structured data for analysis and diagnosis, generating and storing diagnosis results;

[0104] The data storage module receives and processes data from mobile applications, and stores the detection data in a preset format. The permission control module sets permissions for the data storage module and the task management module. The expert diagnosis module extracts the detection data from the data storage module and analyzes it to generate device status and detection results, and stores the diagnosis report in the data storage module.

[0105] Embodiment 3, an embodiment of the present invention, is different from the first two embodiments in that:

[0106] If the functions are implemented in the form of 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 the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

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

[0108] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0109] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0110] Example 4, reference Figure 5-Figure 8 , which is an embodiment of the present invention, provides a method for uploading data of SF6 live detection instrument equipment. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through simulation experiments.

[0111] S1: Get device information

[0112] APP downlink:

[0113] Data format:

[0114]

[0115] Uplink on the device:

[0116] Data format:

[0117]

[0118] It should be noted that the data field length is 30 bytes and the format is:

[0119]

[0120]

[0121] It should be noted that the instrument model is less than 15 bytes and is represented by a space 0X20 after it.

[0122] It should be noted that the measurement items, the high 4 digits BIT4: decomposition product BIT5: purity BIT6: water content, the low 4 digits are:

[0123] 0: SF6, N2.

[0124] 1:SF6,N2,SF6+N2.

[0125] 2:SF6,N2,SF6+CF4.

[0126] 3:SF6,N2,SF6+N2,SF6+CF4.

[0127] 4: In case of SF6, N2 (for Southern Power Grid), CF4%V and CF4%W are displayed with 4 decimal places.

[0128] S2: Send UUID number and test item detection and start the test

[0129] APP downlink:

[0130]

[0131] Data field description:

[0132]

[0133]

[0134] It should be noted that the unique test code consists of year, month, day, hour, minute and two-byte test number. The APP sends this command to start the test.

[0135] Device Uplink:

[0136]

[0137] The data is: 01H, indicating that the detection is starting.

[0138] The data is: 02H. It means it is being tested. Please wait and send the test command again.

[0139] The data is: 03H. It means preheating is not completed yet.

[0140] The data is: 04H, which means no ventilation.

[0141] The data is: 05H, indicating that the downlink data is wrong.

[0142] S3: Get real-time test result data

[0143] Get real-time test result data.

[0144] APP downlink:

[0145]

[0146]

[0147] Device Uplink:

[0148]

[0149] The data is: 01H. It means it is being tested and there is no test result data for the time being. Please wait to get the data.

[0150] After the detection is completed, the following data is returned.

[0151] After receiving the command from the platform terminal to actively upload data, the detection terminal immediately replies with the current detection result data, as follows:

[0152]

[0153] Data field description:

[0154]

[0155]

[0156] It should be noted that: 1. Device status byte description:

[0157] 20. Pre-test of circuit breaker.

[0158] 10. Circuit breaker handover.

[0159] 40 Pre-test of other equipment.

[0160] 30. Handover of other equipment.

[0161] Test data: 32-bit floating point number that complies with IEEE754 standard (high byte first and low byte last). If the test data has no content, the 4 bytes of this item are all FFH.

[0162] S4: Query historical data by unique code

[0163] Query historical data by UUID and time.

[0164] APP downlink:

[0165]

[0166] Data field description:

[0167] The APP sends a unique test code to query historical data

[0168] After the detection terminal receives the platform terminal's active data upload command, it immediately sends the unique test coded data, as follows:

[0169]

[0170] Data field reference 03H

[0171] S5: Get the number of information

[0172] Get the number of unuploaded messages in the current device.

[0173] APP downlink:

[0174]

[0175] Device Uplink:

[0176]

[0177] The data is: the number of data that can be uploaded currently, with high bytes in front and low bytes in the back.

[0178] S6: Obtaining detection data

[0179] Get the test data information uploaded by the device. The test information needs to be sorted from the newest to the oldest according to the test time. Specify the return content according to the index number issued by the APP.

[0180] APP downlink:

[0181]

[0182] The index number indicates 1-N. When 1 is sent, the device reports the first piece of data. When N is sent, the device reports the Nth piece of data.

[0183] Uplink on the device:

[0184] After the detection terminal receives the active data upload command from the platform terminal, it immediately uploads the data of the index number, as follows:

[0185]

[0186] Data field reference 03H

[0187] S7: End of detection

[0188] APP downlink:

[0189]

[0190] Uplink on the device:

[0191] After receiving the command from the platform terminal, the detection terminal responds with the following command:

[0192]

[0193] It should be noted that the communication between the mobile application APP and the cloud platform is based on the http protocol, using the json data format and xml data format that can be read and parsed under the http protocol for remote data transmission and interactive processing.

[0194] like Figure 5 As shown, the detection is initiated in one of the following ways: (1) the administrator initiates an assignment work order;

[0195] (2) The system generates and initiates a work order.

[0196] like Figure 6 As shown, the work order is associated with electrical equipment. The equipment has isolated data access according to the company and site where it is located. You can add equipment in one of the following ways: (1) fill in the form directly; (2) scan the QR code of the equipment.

[0197] The device itself and its corresponding detection information correspond to Figure 7 By comparing the system before and after application, the time saved is shown in Figure 8 shown.

[0198] This system realizes paperless and automated testing process. Through the task management, data storage and real-time data transmission of the cloud platform and mobile terminal, it realizes the electronic management of the whole process from task allocation to data collection, upload and analysis. Automatic report generation, structured data storage and intelligent statistical analysis improve the overall work efficiency. Compared with the traditional manual recording method, the testing efficiency is improved, the human resource investment is reduced, and the operation and management costs are reduced.

[0199] The present invention ensures the accuracy of data transmission through the data frame format and protocol control module, and further improves the security of the data storage process by combining the authority control module, so that the detection data is effectively protected during the transmission and management process, avoiding the risk of human intervention. The combination of digital process and authority management helps to build a more standardized quality management system.

[0200] Through expert diagnosis modules and structured data analysis, the present invention can deeply mine equipment status and potential problems from detection data. Through real-time data analysis and historical data tracing, it realizes a closed loop of fault warning and equipment management, effectively discovers equipment quality problems and prevents problematic equipment from accessing the network, greatly improving detection results.

[0201] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. SF6 live detection instrument data upload system, characterized by: include: A cloud platform (100), a mobile application (200) and a detection instrument (300); The cloud platform (100) is used to manage detection tasks, store structured detection data, and provide a remote diagnosis interface; The mobile application (200) is used to receive task instructions from the cloud platform, connect to the detection instrument and upload detection data; The detection instrument (300) is used to detect SF6 electrical equipment and generate detection data, and the detection data is transmitted to a mobile application via Bluetooth or WiFi.

2. The SF6 live detection instrument data upload system according to claim 1 is characterized in that: The cloud platform (100) comprises a file management module (101), a task management module (102), a permission control module (103), a data storage module (104) and an expert diagnosis module (105); The file management module (101) is used to store file information of electrical equipment, user information and site information, and provide information support related to the detection task for the task management module (102) to call 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 terminal application (200); The authority control module (103) is used to set access rights to the data storage module (104) and the task management module (102); The data storage module (104) is used to receive and structuredly store the detection data uploaded by 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 stored data for analysis and diagnosis by experts and generate corresponding diagnosis reports.

3. The SF6 live detection instrument data upload system according to claim 2 is characterized in that: The mobile terminal application (200) comprises 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 to 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 a detection task instruction from a task management module (102) of the cloud platform (100), and send task information to a 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 transmit the data to the data storage module (104) of the cloud platform (100) via WiFi after data packaging and verification according to the protocol control module (204); The protocol control module (204) is used to parse and verify the detection data according to a predetermined data protocol.

4. The SF6 live detection instrument data upload system according to claim 3 is characterized in that: The detection instrument (300) comprises 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 composition 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 terminal 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, wherein the data frame includes a start code, a detection type, a control word, a data length, a data field and a check code; The task association module (304) is used to receive a task instruction transmitted by the mobile application (200), and associate the detection data with the task code according to the task instruction.

5. A method for using the SF6 live detection instrument data uploading system as described in any one of claims 1 to 4, characterized in that: include: The cloud platform generates a test task and sends the task instruction to the mobile application and the test instrument. The mobile application establishes a communication connection with the test instrument and starts the test. The testing instrument performs the test 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 the detection data and performs storage, analysis and processing.

6. The method for uploading data of SF6 live detection instrument equipment according to claim 5, characterized in that: The establishing of the communication connection includes the cloud platform creating a detection task, sending the task instruction to the mobile application and the detection instrument, the mobile application establishing a Bluetooth communication connection with the detection instrument, and transmitting the task information to the detection instrument to start the detection process; The archive management module stores the archive information, user information and site information of electrical equipment, and the task management module extracts the relevant equipment data and detection parameters from the archive management module to generate task codes and task instructions; The task management module sends the task instructions to the mobile application through the network. After receiving the task instructions, the task receiving module uses the communication module to establish a Bluetooth connection with the communication module of the detection instrument, and passes the task information to the task association module. The task association module completes the equipment identification and initialization operations according to the task instructions.

7. The method for uploading data of SF6 live detection instrument equipment according to claim 6, characterized in that: The transmitting of the detection data to the mobile application includes the detection instrument performing detection according to the task information, generating detection data, and packaging the data according to the communication protocol, and transmitting the data to the mobile application via Bluetooth; The detection module collects SF6 gas composition 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. The communication module transmits the encapsulated data to the communication module of the mobile application via Bluetooth. After receiving the data frame, the data transmission module parses and verifies the data through the protocol control module. The data that meets the requirements is uploaded to the data storage module of the cloud platform via WiFi.

8. The method for uploading data of SF6 live detection instrument equipment according to claim 4 is characterized in that: The storage and analysis processing includes the cloud platform receiving and structured storing the test data, the expert diagnosis module extracting information from the structured data for analysis and diagnosis, generating and storing the diagnosis results; The data storage module receives and processes data from mobile applications, and stores the detection data in a preset format. The permission control module sets permissions for the data storage module and the task management module. The expert diagnosis module extracts the detection data from the data storage module and analyzes it to generate device status and detection results, and stores the diagnosis report in the data storage module.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for uploading data of SF6 live detection instrument equipment described in any one of claims 5-8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for uploading data of SF6 live detection instrument equipment described in any one of claims 5-8 are implemented.

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