Process control unit power supply remote maintenance method, system and equipment and storage medium
Real-time monitoring and remote maintenance of power supply equipment are achieved through LoRa and 4G wireless communication technology, solving problems such as high maintenance costs and slow response speed in traditional power supply maintenance methods, and improving maintenance efficiency and production continuity and safety.
Patent Information
- Application Number
- CN202510077578.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-17
- Publication Date
- 2025-05-02
- Estimated Expiration
- 2045-01-17
AI Technical Summary
Traditional power maintenance methods have problems such as high maintenance costs, slow response speed, strong technical dependence, insufficient data utilization and inflexible maintenance plans, which are difficult to meet the needs of modern industrial complex and efficient production environments.
Using LoRa and 4G wireless communication technology, the operating parameters of the process control unit power supply equipment are periodically collected through the LoRa node, and the data is transmitted to the remote operation and maintenance platform through the LoRa route and gateway for real-time monitoring, fault diagnosis and remote maintenance.
Real-time monitoring and remote maintenance of power supply equipment are realized, potential failures are discovered in advance, production interruptions and equipment damage are reduced, maintenance costs are reduced, maintenance efficiency and quality are improved, and industrial production continuity and safety are ensured.
Smart Images

Figure CN119916725A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of industrial automation equipment operation and maintenance, and specifically relates to a process control unit power supply remote maintenance method, system, equipment and storage medium. Background Art
[0002] With the improvement of industrial automation and intelligence, power supply equipment is an important part of industrial equipment, and its stability and reliability are crucial to the continuity and safety of industrial production. Traditional power supply maintenance methods are highly dependent on the direct participation of on-site maintenance personnel. This method has exposed some significant limitations when facing the complex and efficient production environment of modern industry, mainly including high maintenance cost, slow response speed, strong technology dependence, insufficient data utilization, and inflexible maintenance plan. Among them, high maintenance cost means that on-site maintenance requires dispatching technicians to the location of the equipment for fault diagnosis and repair. This not only includes the labor costs of technicians, but may also involve production losses caused by equipment downtime. For widely distributed and numerous power supply equipment, maintenance costs will accumulate rapidly. Slow response speed means that after discovering equipment failure, it is necessary to wait for maintenance personnel to arrive on site before starting maintenance work. During this process, the equipment may be in a downtime state, affecting production progress. If the maintenance personnel are far away or have inconvenient transportation, the response time will be longer. Strong technology dependence means that traditional maintenance methods are highly dependent on the professional skills and experience of maintenance personnel. When faced with complex or rare faults, if on-site maintenance personnel lack the corresponding knowledge and experience, it may result in long maintenance time or failure to solve the problem. Insufficient data utilization means that traditional methods often lack a systematic data collection and analysis mechanism, resulting in a large amount of valuable operating data being wasted. If these data are fully utilized, they can help detect potential failures in advance and optimize maintenance strategies. In addition, traditional maintenance methods usually adopt a scheduled maintenance approach, that is, maintenance is performed at fixed time intervals regardless of the actual condition of the equipment. This approach may lead to problems such as over-maintenance or under-maintenance, increase unnecessary costs or reduce equipment reliability.
[0003] In order to overcome these problems, modern industry is moving towards intelligent and remote power maintenance. By introducing advanced technologies such as the Internet of Things, big data, and artificial intelligence, remote monitoring, predictive maintenance, and intelligent decision-making of power equipment can be achieved, thereby reducing maintenance costs, improving response speed, optimizing maintenance plans, and making full use of operating data. Summary of the invention
[0004] The purpose of the present invention is to address the problems in the above-mentioned prior art and provide a process control unit power supply remote maintenance method, system, equipment and storage medium to achieve real-time monitoring, remote fault diagnosis and automatic comprehensive maintenance of power supply equipment, improve the reliability and maintenance efficiency of power supply equipment, reduce maintenance costs, and ensure the continuity and safety of industrial production.
[0005] In order to achieve the above object, the present invention has the following technical solutions: In a first aspect, a method for remote maintenance of a process control unit power supply is provided, comprising: The operating parameters of the power supply equipment of each process control unit are periodically collected through the LoRa node; Performing protocol conversion on the power supply equipment operating parameters collected by the LoRa node, and transmitting the power supply equipment operating parameters after protocol conversion to the LoRa router through LoRa wireless communication; the LoRa router is applied as a wireless repeater when the communication distance is greater than a set value, and forwards the power supply equipment operating parameters collected by the LoRa node to the LoRa gateway; The LoRa gateway performs protocol conversion on the data transmitted via LoRa wireless communication, and transmits the protocol-converted data to the remote operation and maintenance platform via 4G network wireless transmission; The remote operation and maintenance platform inputs the data into a pre-established fault diagnosis model, and the fault diagnosis model performs real-time analysis on the operating status of the power supply equipment to identify potential faults; The remote operation and maintenance platform performs remote maintenance on the power supply equipment of each process control unit according to the fault identification result.
[0006] As a preferred solution, the LoRa node periodically collects the power supply equipment operating parameters of each process control unit through 485 communication.
[0007] As a preferred solution, before the LoRa node periodically collects the operating parameters of the power supply equipment of each process control unit, the method also includes: the remote operation and maintenance platform uses sensors and measuring equipment to monitor the operating parameters of the power supply equipment; wherein the operating parameters of the power supply equipment include voltage, current, temperature and power factor.
[0008] As a preferred solution, the remote operation and maintenance platform inputs the data into a pre-established fault diagnosis model, and the fault diagnosis model performs real-time analysis on the operating status of the power supply equipment. Before identifying potential faults, the method also includes: obtaining a data set of normal power supply equipment operating parameters and a data set of abnormal power supply equipment operating parameters; determining a mathematical model adopted by the fault diagnosis model; training the mathematical model based on the data set of normal power supply equipment operating parameters and the data set of abnormal power supply equipment operating parameters to obtain a fault diagnosis model; wherein the mathematical model includes a big data model.
[0009] As a preferred solution, the remote operation and maintenance platform performs remote maintenance on the power supply equipment of each process control unit based on the fault identification results, including: when the fault diagnosis results include overvoltage, undervoltage, overcurrent and overload, the remote operation and maintenance platform remotely adjusts the values of resistors, inductors and capacitors in the power supply equipment circuit.
[0010] As a preferred solution, the remote operation and maintenance platform performs remote maintenance on the power supply equipment of each process control unit based on the fault identification results, including: for faults that can be repaired remotely, the remote operation and maintenance platform remotely operates the power supply equipment through remote control software or commands to restore the normal operation of the power supply equipment; for faults that cannot be repaired remotely, the remote operation and maintenance platform provides fault information and processing suggestions.
[0011] As a preferred solution, the method also includes: establishing a security management mechanism to encrypt and control data transmission and access rights during remote maintenance; setting different levels of user permissions to allocate and manage permissions for different users; recording the detailed process, results and fault handling of each remote maintenance to form a maintenance record; regularly generating maintenance reports to collect statistics and analyze the operating status and fault trends of power supply equipment.
[0012] In a second aspect, a process control unit power supply remote maintenance system is provided, comprising: The power supply equipment operation parameter collection module is used to periodically collect the power supply equipment operation parameters of each process control unit through the LoRa node; The first data transmission module is used to perform protocol conversion on the power supply device operating parameters collected by the LoRa node, and transmit the power supply device operating parameters after protocol conversion to the LoRa router through LoRa wireless communication; the LoRa router is applied as a wireless repeater when the communication distance is greater than a set value, and forwards the power supply device operating parameters collected by the LoRa node to the LoRa gateway; The second data transmission module is used for the LoRa gateway to perform protocol conversion on the data transmitted via LoRa wireless communication, and transmit the protocol-converted data to the remote operation and maintenance platform via 4G network wireless transmission; A fault identification module, used for the remote operation and maintenance platform to input the data into a pre-established fault diagnosis model, wherein the fault diagnosis model performs real-time analysis on the operating status of the power supply equipment and identifies potential faults; The remote maintenance module is used for the remote operation and maintenance platform to remotely maintain the power supply equipment of each process control unit according to the fault identification result.
[0013] According to a third aspect, an electronic device is provided, including: A memory storing at least one instruction; and a processor executing the instruction stored in the memory to implement the process control unit power remote maintenance method.
[0014] In a fourth aspect, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the process control unit power supply remote maintenance method is implemented.
[0015] Compared with the prior art, the present invention has at least the following beneficial effects: The present invention uses 4G and LoRa as wireless communication transceiver devices for localized networking communication. The device types include LoRa gateway, LoRa router and LoRa node. The operating parameters of each power supply device of the process control unit are collected through the detection circuit, and the detection data is reported to the LoRa gateway. The LoRa gateway uses a domestic microcontroller as the main control chip, and sends the collected operating parameters of each power supply device to the remote operation and maintenance platform through 4G communication. The remote operation and maintenance platform judges and warns the power supply that deviates from the standard value according to the power supply specified range threshold configured in advance by the management personnel, and reminds the maintenance personnel to handle it in time, thereby realizing the remote maintenance of the process control unit power supply. The process control unit power supply remote maintenance method of the present invention can realize real-time monitoring and remote maintenance of the power supply equipment. Through the fault diagnosis and early warning functions, potential faults can be discovered in advance and corresponding measures can be taken to avoid production interruption or equipment damage caused by faults, reduce the workload of on-site maintenance personnel, and improve maintenance efficiency and quality. The power supply remote maintenance method of the present invention has the advantages of strong practicality, simple operation, safety and reliability, and is suitable for remote maintenance and management of various types of power supply equipment. The method of the present invention can save the transformation cycle, does not require large-scale construction, and avoids the trouble of wiring maintenance. The transformation can be completed quickly and the communication stability requirements can be met. It not only improves the reliability and maintenance efficiency of the power supply equipment and reduces the maintenance cost, but also provides a strong guarantee for the continuity and safety of industrial production. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.
[0017] Figure 1 Schematic diagram of the principle of a remote maintenance method for a process control unit power supply according to an embodiment of the present invention; Figure 2 It is a schematic diagram of a power supply remote maintenance method based on 4G and LoRa wireless communications according to an embodiment of the present invention; Figure 3 It is a structural diagram of a process control unit power remote maintenance system according to an embodiment of the present invention. DETAILED DESCRIPTION
[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, ordinary technicians in this field can also obtain other embodiments without making creative work.
[0019] With the improvement of industrial automation and intelligence, power supply equipment, as an important part of industrial equipment, its stability and reliability are crucial to the continuity and safety of industrial production. Traditional power supply maintenance methods mostly rely on on-site maintenance personnel, and there are problems such as high maintenance cost and slow response speed. The embodiment of the present invention proposes a remote maintenance method for the power supply of a process control unit, which adopts LoRa and 4G wireless communications, can periodically detect the voltage and current of each power supply point of the process control unit, and transmit the collected power supply data back to the remote operation and maintenance platform through the 4G network. Through the analysis of the power supply parameters by the remote operation and maintenance platform, the operation and maintenance personnel can easily and quickly obtain the accurate waveform and data report of the power supply of the process control unit, and the power supply that deviates from the standard value should be replaced. It is a more intelligent and efficient power supply maintenance strategy.
[0020] With the rapid development of industrial automation and intelligent technology, the role of power supply equipment in ensuring the continuity, stability and safety of industrial production has become increasingly prominent. In view of the challenges faced by traditional power supply maintenance methods, such as high cost, low efficiency and slow response speed, modern industry needs to actively explore and implement more intelligent and efficient power supply maintenance strategies.
[0021] Remote monitoring and fault diagnosis, such as using the Internet of Things (IoT) technology to connect power equipment to the cloud or central monitoring system to achieve remote real-time monitoring of the equipment's operating status, performance parameters, and fault warnings. Through data analysis algorithms, the system can automatically identify potential faults and notify maintenance personnel in advance, thereby greatly shortening fault response time and reducing downtime losses.
[0022] Predictive maintenance, based on big data and machine learning technology, conducts in-depth analysis of the historical operating data of power equipment, establishes a prediction model, and predicts the remaining service life of the equipment, the type of failure, and the time of occurrence. This predictive maintenance method can avoid unnecessary scheduled maintenance, accurately locate maintenance needs, and significantly improve maintenance efficiency and resource utilization.
[0023] Intelligent operation and maintenance platform, build an integrated intelligent operation and maintenance platform, integrating equipment monitoring, fault diagnosis, maintenance scheduling and other functions. The platform supports multi-source data fusion and intelligent decision support, helping the maintenance team to achieve remote collaborative work, optimize maintenance processes and improve maintenance quality.
[0024] Automation and unattended operation refers to promoting the automation and unattended management of power supply equipment when conditions permit. Through automated control systems and intelligent robots, tasks such as equipment inspection and simple troubleshooting can be automated, reducing reliance on manual labor and further improving operation and maintenance efficiency and safety.
[0025] Modular and hot-swappable design means that in the design stage of power supply equipment, modular design ideas can be adopted to make each component easy to replace and maintain. At the same time, the introduction of hot-swappable technology allows the replacement of faulty modules without interrupting system operation, minimizing downtime.
[0026] Green energy-saving technology requires attention to the energy efficiency improvement and green energy saving of power supply equipment. High-efficiency power supply chips and intelligent power regulation technology can be used to reduce energy consumption and carbon emissions. At the same time, through intelligent management strategies, equipment operation modes and load distribution can be optimized to maximize energy utilization.
[0027] The process control unit power remote maintenance method proposed in the embodiment of the present invention is based on the above-mentioned direction and designs the following for the process control unit: Figure 2 A power supply remote maintenance method based on 4G and LoRa wireless communication is shown, comprising the following steps: S1, periodically collect the operating parameters of the power supply equipment of each process control unit through the LoRa node; S2, performing protocol conversion on the power supply equipment operating parameters collected by the LoRa node, and transmitting the power supply equipment operating parameters after protocol conversion to the LoRa router through LoRa wireless communication; the LoRa router is applied as a wireless repeater when the communication distance is greater than a set value, and forwards the power supply equipment operating parameters collected by the LoRa node and transmits them to the LoRa gateway; S3, the LoRa gateway performs protocol conversion on the data transmitted via LoRa wireless communication, and transmits the protocol-converted data to the remote operation and maintenance platform via 4G network wireless transmission; S4, the remote operation and maintenance platform inputs the data into a pre-established fault diagnosis model, and the fault diagnosis model performs real-time analysis on the operating status of the power supply equipment to identify potential faults; S5. The remote operation and maintenance platform performs remote maintenance on the power supply equipment of each process control unit according to the fault identification result.
[0028] As a low-power wide-area network (LPWAN) communication technology, LoRa (Long Range Radio) technology has been widely used in many fields in recent years, including Industrial Internet of Things (IIoT), smart cities, agricultural monitoring, environmental monitoring, and smart logistics. The main features and advantages of LoRa technology include: 1. Long-distance communication: LoRa technology uses spread spectrum modulation technology, which can achieve a longer communication distance with lower power consumption, usually up to several kilometers in urban environments, and even more than ten kilometers in open areas.
[0029] 2. Low power consumption: LoRa devices are designed to minimize power consumption and support long-term battery-powered operation, which is especially important for IoT devices that need to be deployed in remote or difficult-to-maintain areas for a long time.
[0030] 3. Large capacity: Although the concurrent processing capability of a single LoRa gateway is limited, through reasonable planning and deployment of multiple gateways, the LoRa network can support a large number of terminal devices to access at the same time, meeting the needs of large-scale IoT applications.
[0031] 4. Spread spectrum modulation: LoRa uses linear frequency modulation spread spectrum (CSS, Chirp Spread Spectrum) modulation technology. This modulation method can effectively resist multipath interference and signal attenuation, and improve the reliability and stability of communication.
[0032] 5. Forward error correction: LoRa technology has a built-in powerful forward error correction coding mechanism, which can correct errors in the transmission process to a certain extent, improve the reliability of data transmission, reduce the number of retransmissions, and further reduce power consumption.
[0033] 6. Low cost: The cost of LoRa modules is relatively low, making LoRa-based IoT solutions more cost competitive and conducive to promoting the popularization and application of IoT technology.
[0034] 7. Easy to deploy and maintain: The LoRa network has a simple architecture and flexible deployment, and can quickly build a widely covered IoT network. At the same time, the LoRa network also has good self-organizing ability and scalability, which is convenient for subsequent maintenance and upgrades.
[0035] In a possible implementation, the LoRa node periodically collects the operating parameters of the power supply equipment of each process control unit through 485 communication. RS-485 is a widely used serial communication standard, especially suitable for industrial environments, with the characteristics of long-distance communication, high-speed data transmission, strong anti-interference ability and support for multi-device connection. RS-485 is designed to expand the physical capabilities of the RS232 interface and realize serial communication through two or three wires (data line, reverse data line and ground line). RS-485 adopts differential signal transmission, that is, opposite voltage signals are transmitted through two signal lines (A and B). The receiving end judges the logical state of the data by comparing the voltage difference between the two signal lines, which makes RS-485 have strong resistance to common mode noise. The communication distance of RS-485 can reach 1200m, which is much higher than other serial communication standards and is suitable for long-distance communication occasions. The data transmission rate of RS-485 can reach up to 10Mbps. The transmission rate depends on the transmission distance. The longer the transmission distance, the lower the transmission rate. RS-485 supports multi-point communication, and a single network can handle up to 32 devices, which is suitable for multi-device communication applications. Due to the use of differential signal transmission, RS-485 has strong resistance to electrical noise and electromagnetic interference, and is suitable for complex industrial environments. RS-485 supports half-duplex and full-duplex communication modes. In half-duplex mode, data can only be transmitted in one direction; in full-duplex mode, data can be transmitted in both directions at the same time.
[0036] When installing RS-485 devices, care should be taken to ensure that the connection between devices is correct, usually through a pair of signal wires (A and B). The length and wiring method of the signal wires should meet the requirements of RS-485, and try to avoid interference sources to ensure the stability of signal transmission. Set the correct communication parameters (such as baud rate, data bits, parity bits, and stop bits) to ensure that the parameters of both parties are consistent. When using RS-485 communication, you may encounter communication interruptions, data loss, signal interference, and other problems. For these problems, check the signal line connection to ensure that the signal line is firmly connected and there is no disconnection or poor contact. If a device fails, the faulty device should be replaced in time. Reset the communication parameters to ensure that the parameter settings of both parties are consistent to avoid communication problems caused by inconsistent parameters. Add a shielding layer around the signal line to reduce the impact of external interference on signal transmission.
[0037] Furthermore, before periodically collecting the operating parameters of the power supply equipment of each process control unit through the LoRa node, the method also includes: the remote operation and maintenance platform uses sensors and measuring equipment to monitor the operating parameters of the power supply equipment; wherein the operating parameters of the power supply equipment include voltage, current, temperature and power factor.
[0038] In addition, the remote operation and maintenance platform also uses sensors and measuring equipment to monitor the operating environment parameters of the power supply equipment, including humidity and vibration.
[0039] In a possible implementation manner, the remote operation and maintenance platform inputs the data into a pre-established fault diagnosis model, and the fault diagnosis model performs real-time analysis on the operating status of the power supply device. Before identifying a potential fault, the method further includes: Acquire a data set of normal power supply device operating parameters and a data set of abnormal power supply device operating parameters; Determining a mathematical model adopted by the fault diagnosis model; The mathematical model is trained based on the data set of normal power supply equipment operating parameters and the data set of abnormal power supply equipment operating parameters to obtain a fault diagnosis model; Wherein, the mathematical model includes a big data model.
[0040] The present invention implements a large data set model and algorithm based on the power supply parameters of the control unit, which can analyze and judge the voltage, current, temperature and power factor collected in real time, and generate early warning information when an abnormal situation or fault is detected.
[0041] Furthermore, the remote operation and maintenance platform performs remote maintenance on the power supply equipment of each process control unit according to the fault identification results, including: when the fault diagnosis results include overvoltage, undervoltage, overcurrent and overload, the remote operation and maintenance platform remotely adjusts the values of resistors, inductors and capacitors in the power supply equipment circuit.
[0042] Based on the fault diagnosis results, the remote operation and maintenance platform adjusts the output voltage and output current by remotely adjusting components such as resistors, inductors and capacitors in the power supply circuit when faults such as overvoltage, undervoltage, overcurrent and overload occur, thereby optimizing the operating performance of the power supply equipment.
[0043] Allows remote updating of the power supply device's firmware or software to adapt to new operating environments or fix known issues.
[0044] In a possible implementation manner, the remote operation and maintenance platform remotely maintains the power supply equipment of each process control unit according to the fault identification result, including: For faults that can be repaired remotely, the remote operation and maintenance platform remotely operates the power supply equipment through remote control software or commands to restore the normal operation of the power supply equipment; The remote operation and maintenance platform provides fault information and handling suggestions for faults that cannot be repaired remotely.
[0045] For faults that can be repaired remotely, the remote operation and maintenance platform remotely operates the power supply equipment through remote control software or commands to restore the normal operation of the power supply equipment; for faults that cannot be repaired remotely, it provides fault information and processing suggestions to guide on-site maintenance personnel to troubleshoot.
[0046] In a possible implementation, the method further includes: Establish a security management mechanism to encrypt and control data transmission and access rights during remote maintenance; Set different levels of user permissions to allocate and manage permissions for different users; Record the detailed process, results and troubleshooting of each remote maintenance to form a maintenance record; Generate maintenance reports regularly to collect statistics and analyze the operating status and failure trends of power supply equipment.
[0047] The embodiment of the present invention also encrypts and controls data transmission and access rights during remote maintenance by establishing a security management mechanism, thereby ensuring the security and integrity of the data.
[0048] The embodiment of the present invention also sets different levels of user permissions to allocate and manage permissions for different users, thereby preventing unauthorized access and operation.
[0049] In a possible implementation, the embodiment of the present invention records the detailed process, results and fault handling of each remote maintenance to form a maintenance record. A maintenance report is generated regularly to collect statistics and analyze the operating status and fault trends of the power supply equipment to provide a reference for subsequent maintenance and optimization.
[0050] The power supply remote maintenance method of the present invention realizes comprehensive remote maintenance of power supply equipment through technical means such as real-time monitoring, remote diagnosis, configuration adjustment, troubleshooting and safety management. The method of the present invention not only improves the reliability and maintenance efficiency of power supply equipment and reduces maintenance costs, but also provides a strong guarantee for the continuity and safety of industrial production.
[0051] Another embodiment of the present invention also provides a Figure 3 The process control unit power supply remote maintenance system 300 shown includes: The power supply equipment operating parameter acquisition module 301 is used to periodically acquire the power supply equipment operating parameters of each process control unit through the LoRa node; The first data transmission module 302 is used to perform protocol conversion on the power supply device operating parameters collected by the LoRa node, and transmit the power supply device operating parameters after protocol conversion to the LoRa router through LoRa wireless communication; the LoRa router is applied as a wireless repeater when the communication distance is greater than a set value, and forwards the power supply device operating parameters collected by the LoRa node to the LoRa gateway; The second data transmission module 303 is used for the LoRa gateway to perform protocol conversion on the data transmitted via the LoRa wireless communication, and transmit the protocol-converted data to the remote operation and maintenance platform via 4G network wireless transmission; A fault identification module 304 is used for the remote operation and maintenance platform to input the data into a pre-established fault diagnosis model, and the fault diagnosis model performs real-time analysis on the operating status of the power supply equipment to identify potential faults; The remote maintenance module 305 is used for the remote operation and maintenance platform to perform remote maintenance on the power supply equipment of each process control unit according to the fault identification result.
[0052] Another embodiment of the present invention further provides an electronic device, comprising: A memory storing at least one instruction; and a processor executing the instruction stored in the memory to implement the process control unit power remote maintenance method.
[0053] Another embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the process control unit power supply remote maintenance method is implemented.
[0054] Exemplarily, the instructions stored in the memory may be divided into one or more modules / units, which are stored in a computer-readable storage medium and executed by the processor to complete the process control unit power remote maintenance method of the present invention. The one or more modules / units may be a series of computer-readable instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program in the server.
[0055] The electronic device may be a computing device such as a smart phone, a notebook, a PDA, and a cloud server. The electronic device may include, but is not limited to, a processor and a memory. Those skilled in the art will appreciate that the electronic device may also include more or fewer components, or a combination of certain components, or different components, for example, the electronic device may also include an input / output device, a network access device, a bus, etc.
[0056] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.
[0057] The memory may be an internal storage unit of the server, such as a hard disk or memory of the server. The memory may also be an external storage device of the server, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the server. Furthermore, the memory may include both an internal storage unit of the server and an external storage device. The memory is used to store the computer-readable instructions and other programs and data required by the server. The memory may also be used to temporarily store data that has been output or is to be output.
[0058] It should be noted that the information interaction, execution process and other contents between the above-mentioned module units are based on the same concept as the method embodiment. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.
[0059] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.
[0060] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device that can carry the computer program code to the camera device / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a disk or an optical disk.
[0061] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0062] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.
Claims
1. A remote maintenance method for a process control unit power supply, characterized in that: include: The operating parameters of the power supply equipment of each process control unit are periodically collected through the LoRa node; Performing protocol conversion on the power supply equipment operating parameters collected by the LoRa node, and transmitting the power supply equipment operating parameters after protocol conversion to the LoRa router through LoRa wireless communication; the LoRa router is applied as a wireless repeater when the communication distance is greater than a set value, and forwards the power supply equipment operating parameters collected by the LoRa node to the LoRa gateway; The LoRa gateway performs protocol conversion on the data transmitted via LoRa wireless communication, and transmits the protocol-converted data to the remote operation and maintenance platform via 4G network wireless transmission; The remote operation and maintenance platform inputs the data into a pre-established fault diagnosis model, and the fault diagnosis model performs real-time analysis on the operating status of the power supply equipment to identify potential faults; The remote operation and maintenance platform performs remote maintenance on the power supply equipment of each process control unit according to the fault identification result.
2. The process control unit power remote maintenance method according to claim 1, characterized in that: The LoRa node periodically collects the power supply equipment operating parameters of each process control unit through 485 communication.
3. The process control unit power remote maintenance method according to claim 1 or 2, characterized in that: Before periodically collecting the operating parameters of the power supply equipment of each process control unit through the LoRa node, the method also includes: the remote operation and maintenance platform uses sensors and measuring equipment to monitor the operating parameters of the power supply equipment; wherein the operating parameters of the power supply equipment include voltage, current, temperature and power factor.
4. The process control unit power remote maintenance method according to claim 1 or 2, characterized in that: The remote operation and maintenance platform inputs the data into a pre-established fault diagnosis model, and the fault diagnosis model performs real-time analysis on the operating status of the power supply device. Before identifying potential faults, the method further includes: Acquire a data set of normal power supply device operating parameters and a data set of abnormal power supply device operating parameters; Determining a mathematical model adopted by the fault diagnosis model; The mathematical model is trained based on the data set of normal power supply equipment operating parameters and the data set of abnormal power supply equipment operating parameters to obtain a fault diagnosis model; Wherein, the mathematical model includes a big data model.
5. The process control unit power remote maintenance method according to claim 1, characterized in that: The remote operation and maintenance platform performs remote maintenance on the power supply equipment of each process control unit according to the fault identification result, including: When the fault diagnosis results include overvoltage, undervoltage, overcurrent and overload, the remote operation and maintenance platform remotely adjusts the values of resistors, inductors and capacitors in the power supply equipment circuit.
6. The process control unit power remote maintenance method according to claim 1, characterized in that: The remote operation and maintenance platform performs remote maintenance on the power supply equipment of each process control unit according to the fault identification result, including: For faults that can be repaired remotely, the remote operation and maintenance platform remotely operates the power supply equipment through remote control software or commands to restore the normal operation of the power supply equipment; The remote operation and maintenance platform provides fault information and handling suggestions for faults that cannot be repaired remotely.
7. The process control unit power remote maintenance method according to claim 1, characterized in that: The method further comprises: Establish a security management mechanism to encrypt and control data transmission and access rights during remote maintenance; Set different levels of user permissions to allocate and manage permissions for different users; Record the detailed process, results and troubleshooting of each remote maintenance to form a maintenance record; Generate maintenance reports regularly to collect statistics and analyze the operating status and failure trends of power supply equipment.
8. A process control unit power remote maintenance system, characterized in that: include: The power supply equipment operation parameter collection module is used to periodically collect the power supply equipment operation parameters of each process control unit through the LoRa node; The first data transmission module is used to perform protocol conversion on the power supply device operating parameters collected by the LoRa node, and transmit the power supply device operating parameters after protocol conversion to the LoRa router through LoRa wireless communication; the LoRa router is applied as a wireless repeater when the communication distance is greater than a set value, and forwards the power supply device operating parameters collected by the LoRa node to the LoRa gateway; The second data transmission module is used for the LoRa gateway to perform protocol conversion on the data transmitted via LoRa wireless communication, and transmit the protocol-converted data to the remote operation and maintenance platform via 4G network wireless transmission; A fault identification module, used for the remote operation and maintenance platform to input the data into a pre-established fault diagnosis model, wherein the fault diagnosis model performs real-time analysis on the operating status of the power supply equipment and identifies potential faults; The remote maintenance module is used for the remote operation and maintenance platform to remotely maintain the power supply equipment of each process control unit according to the fault identification result.
9. An electronic device, characterized in that: include: A memory storing at least one instruction; and A processor executes instructions stored in the memory to implement the process control unit power remote maintenance method according to any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the process control unit power supply remote maintenance method according to any one of claims 1 to 7 is implemented.
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