A centralized monitoring method and system for new energy equipment based on work order tagging

Abstract

This invention relates to the field of monitoring technology for new energy plant equipment. Specifically, it relates to a centralized monitoring method and system for new energy equipment based on work order tagging. The aim is to solve the problems of data incompatibility, misjudgment of equipment status, and rampant invalid alarms during maintenance periods caused by security isolation between work orders and monitoring systems at new energy plant sites. This invention achieves secure interoperability between operational data in the production control zone and work order data in the management information zone through cross-regional data transmission. It associates equipment operation with work order data, automatically tags / untags according to preset conditions, and accurately determines the actual operating status of equipment by integrating telemetry and tagging status based on hierarchical judgment rules. It dynamically executes alarm suppression based on tagging type and operating condition, automatically releasing suppression in case of emergency anomalies. This achieves cross-regional data connectivity, intelligent status judgment, and adaptive alarm control, effectively distinguishing between planned maintenance and fault shutdowns, reducing invalid alarms, and improving the accuracy and efficiency of centralized monitoring of new energy equipment.

Description

Technical Field

[0001] This invention relates to the field of monitoring technology for new energy plant cluster equipment, and more specifically, to a centralized monitoring method and system for new energy equipment based on work order tagging. Background Technology

[0002] Monitoring technology for new energy power plant equipment is an important technology, especially the centralized monitoring methods and systems for the status of new energy equipment such as wind turbine generators, photovoltaic inverters, and energy storage converters. Specifically, the technical problem addressed by this invention is: how to connect the work order management system of the management information area with the centralized monitoring system of the production control area, design a lightweight data transmission method across isolation zones, and comprehensively utilize work order, tag, status, and alarm data to achieve refined centralized monitoring of new energy equipment. To solve this technical problem, we provide a centralized monitoring method and system for new energy equipment based on work order tagging. Summary of the Invention

[0003] The purpose of this invention is to provide a centralized monitoring method and system for new energy equipment based on work order tagging, so as to solve the problems mentioned in the background art.

[0004] To address the above problems, the present invention aims to: 1. Overcoming security isolation limitations: A lightweight data transmission method across forward / reverse isolation is proposed, which enables automatic association between work order information in the management information area and data collected at the site in the centralized control zone I, reducing manual intervention; 2. Intelligent tagging and status determination: Integrating work order information and real-time monitoring data, a dynamic tagging-status determination matrix is ​​constructed, which combines status-based tagging with tag-based status determination to ensure accurate identification of statuses such as shutdown and maintenance. 3. Adaptive alarm suppression: Combining the tag type and the actual operating conditions of the equipment, multi-level alarm filtering is implemented to reduce invalid alarms and avoid missed fault reports.

[0005] To achieve the above objectives, one objective of this invention is to provide a centralized monitoring method for new energy equipment based on work order tagging, comprising the following steps: S1. In the production control area, collect real-time operating data of new energy equipment and upload it to the centralized monitoring system for standardized storage; S2. In the management information area, obtain work order data containing equipment, work order status and time information from the work order management system, and transmit the work order data to the centralized monitoring system through the cross-regional data transmission method. S3. The centralized monitoring system associates the real-time operating data of the equipment with the work order data. When the preset conditions are met, it automatically performs tagging or detagning operations for the corresponding equipment and updates the tagging records of the equipment. S4. The centralized monitoring system, based on the real-time operating data of the equipment and the tagging record, performs multi-condition comprehensive logical operations according to preset, hierarchical judgment rules to determine the actual operating status of the equipment at each moment. S5. The actual operating status of the equipment at each moment is transmitted back to the work order management system for statistical analysis through the cross-regional data transmission method. S6. The centralized monitoring system performs alarm suppression for the corresponding devices based on the device's tagging records and the actual operating status of the devices at each moment.

[0006] The second objective of this invention is to provide a system for implementing a centralized monitoring method for new energy equipment based on work order tagging, as described in any one of the above-mentioned methods, comprising: The data acquisition and processing unit is deployed in the production control area and the management information area to collect real-time operating data of new energy equipment and to obtain work order data from the work order management system. The data processing and judgment unit is used to associate the real-time operating data of the equipment with the work order data, perform automatic tagging and de-tag operations to update the tagging records, and perform multi-condition comprehensive logical operations based on the real-time operating data and tagging records according to the preset hierarchical judgment rules to determine the actual operating status of the equipment at each moment. The cross-regional data transmission unit is used to securely transmit the work order data and the actual operating status of the equipment or related statistical indicators data obtained by the data processing and judgment unit in both directions between the management information area and the production control area. The control and execution unit is used to dynamically match and execute alarm suppression rules based on the tagging records and the actual operating status of the equipment, so as to control the triggering and notification of alarms.

[0007] Compared with the prior art, the beneficial effects of the present invention are as follows: Because the work order data of new energy power plants is physically separated from the centralized monitoring system by a security isolation device, the equipment maintenance status cannot be automatically synchronized to the monitoring system. This invention achieves secure interaction between work orders and monitoring data through a cross-isolation data pass-through protocol, avoiding the lag and errors of manual input. At the same time, traditional monitoring only relies on telemetry data collected by the power plant. The original equipment status codes provided by the manufacturer can usually only identify downtime and cannot distinguish between planned maintenance and actual faults, which can easily lead to misjudgments of status by maintenance personnel. This invention introduces a dynamic tagging and multi-dimensional judgment mechanism, combining work orders, tagging marks and real-time data to accurately identify equipment status and ensure the accuracy of downtime assessment. In addition, existing centralized monitoring systems still generate a large number of invalid alarms during maintenance. This invention uses an intelligent alarm suppression strategy to filter redundant alarms based on the tagging type and the actual equipment status dynamically determined by the operating condition, reducing maintenance interference.

[0008] In summary, this invention, with "cross-regional data connectivity - dynamic status determination - intelligent alarm management" as its core chain, systematically solves the three major pain points of centralized monitoring of new energy power stations: data isolation, status misjudgment, and alarm redundancy, significantly improving monitoring efficiency and operation and maintenance management reliability. Attached Figure Description

[0009] Figure 1 This is a flowchart illustrating the overall workflow of the present invention; Figure 2 This is a schematic diagram of the overall structure of the present invention; The meanings of the labels in the diagram are as follows: 1. Data acquisition and processing unit; 2. Data processing and judgment unit; 3. Cross-regional data transmission unit; 4. Control and execution unit. Detailed Implementation

[0010] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0011] Please see Figure 1 As shown, one of the objectives of this embodiment is to provide a centralized monitoring method for new energy equipment based on work order tagging, including the following steps: S1. In the production control area, collect real-time operating data of new energy equipment and upload it to the centralized monitoring system for standardized storage; S2. In the management information zone, obtain work order data containing equipment, work order status and time information from the work order management system, and transmit the work order data to the centralized monitoring system through the cross-zone data pass-through method. S3. The centralized monitoring system associates the real-time operating data of the equipment with the work order data. When the preset conditions are met, it automatically performs tagging or detagning operations for the corresponding equipment and updates the tagging records of the equipment. S4. The centralized monitoring system, based on the real-time operating data and tag records of the equipment, performs multi-condition comprehensive logical calculations according to preset, hierarchical judgment rules to determine the actual operating status of the equipment at each moment. S5. Transmit the actual operating status of the equipment at each moment back to the work order management system for statistical analysis through the cross-regional data pass-through method. S6. The centralized monitoring system performs alarm suppression for the corresponding devices based on the device's tagging records and the actual operating status of the devices at each moment.

[0012] In the management information area, work order data is retrieved from the work order management system, specifically including: The centralized monitoring system calls the data interface of the work order management system in the management information area, periodically obtains the changed work order data based on the work order update time field, and performs status filtering on the obtained work order data to exclude work orders in a specific initial state. The filtered work order data is then converted into a specific text format that can be transmitted through the reverse isolation device.

[0013] Converting the filtered work order data into a specific text format that can be transmitted via the reverse isolation device also includes: In the production control area, the centralized monitoring system receives and parses work order data in a specific text format, stores the work order data in the local database, and compares it with historical stored records based on the unique identifier of the work order. If it is a new work order, a new record is added; if it is an existing work order, the system determines whether to update the existing record based on its update time.

[0014] The real-time operating status of the equipment is transmitted back to the work order management system via cross-regional data pass-through method, specifically including: Based on the actual operating status of the equipment as determined by the centralized monitoring system, the system calculates statistical indicators related to equipment shutdown and sends these statistical indicators to the work order management system in the management information area via a forward isolation device using a lightweight data transmission protocol.

[0015] When preset conditions are met, the system automatically performs tagging or detagning operations on the corresponding equipment and updates the equipment's tagging record, specifically including: When the centralized monitoring system detects that the real-time operating status of the equipment changes from running to stopped, and there is an unclosed work order associated with the equipment, it automatically generates a tag record for the equipment based on the work order. When the system detects that the status of the work order associated with the equipment changes to closed, or detects that the real-time operating status of the equipment recovers from stopped to running and continues for a preset time, it automatically performs a tag removal operation to remove or mark the corresponding tag record.

[0016] The work order will be automatically referenced to generate a tagging record for the equipment, which will also include: If the number of times an unclosed work order has been referenced and tagged has not reached the preset limit, a tagging record will be automatically generated. If the number of times the work order has been referenced and tagged has reached the preset limit, a prompt message will be pushed to the maintenance personnel through the human-machine interface, and the maintenance personnel will decide whether to manually select to tag the device. The tagging record of the device will be updated according to the operation results of the maintenance personnel.

[0017] Perform multi-condition comprehensive logical operations according to preset, hierarchical judgment rules, specifically including: The centralized monitoring system pre-sets multiple device status types, including offline, running, and stopped states, and their judgment priority order. For each device status type, a logical judgment expression is configured. The logical judgment expression is composed of a field data acquisition condition clause and a tag status condition clause combined by a logical connector. The field data acquisition condition clause contains a comparison relationship between one or more real-time operating parameters of the device and a preset threshold, while the tag status condition clause is determined based on the current tag record of the device.

[0018] The execution process of a logical expression includes: According to the priority order of the status types, the real-time operating data of the equipment and the listing records are substituted into the logical judgment expression of the corresponding status type for calculation. When the logical relationship between the data acquisition condition clause of the site and the listing status condition clause is satisfied, the equipment is determined to be in that status. If the equipment has multiple listing records at the same time, when substituting into the listing status condition clause, the status corresponding to one of the listing records is selected as the valid input according to the preset rules.

[0019] The tagging record indicates the tagging type, and the actual operating status of the equipment is determined by multi-condition comprehensive logical operation. The preset alarm suppression rules are dynamically matched. When the equipment is determined to be in the state corresponding to a specific tagging type and its real-time operating data meets the specific working conditions associated with that state, alarm suppression for the equipment is automatically triggered, and the real-time push and reminder of its alarms are suspended. When the equipment status changes, no longer meets the triggering conditions of the alarm suppression rules, or its real-time operating data shows an anomaly that indicates an emergency situation, alarm suppression is automatically lifted to restore normal alarm monitoring.

[0020] It needs further explanation that after completing the collection and standardized storage of real-time operating data of new energy equipment, the next crucial step is the cross-regional acquisition, parsing, and storage of work order data. The specific implementation method is as follows: Within the management information zone, the centralized monitoring system acquires work order data through a standardized data interface provided by the work order management system. This interface employs an industrial-grade general communication protocol, ensuring the stability and security of cross-system data transmission. The centralized monitoring system sets a fixed periodic acquisition cycle based on the work order update time field. It automatically scans and acquires incremental work order data that has changed in the work order management system at preset time intervals, extracting only work order data whose update time is later than the previous acquisition time. This avoids wasting system resources by repeatedly acquiring all data. After acquiring the changed work order data, it immediately performs status filtering. The core of status filtering is... Work orders in a specific initial state are excluded. This initial state refers to work orders that have only completed the creation process but have not yet entered the execution phase and are not yet associated with the equipment's operating status. These work orders do not need to be included in subsequent monitoring logic. After filtering, the work order data that meets the criteria is converted into a specific text format that can be transmitted through the reverse isolation device. This specific text format uses a lightweight CSV plain text format, retaining only key text information such as the device number, work order number, work order status, and update time, without containing any executable code or complex format tags. This meets the secure transmission requirements of the reverse isolation device and effectively avoids network security risks associated with cross-regional data transmission. To mitigate the risk, after conversion to a specific text format, work order data is securely transmitted from the management information zone to the production control zone via a reverse isolation device. The centralized monitoring system receives and parses this specific text format work order data line by line in the production control zone. During parsing, it accurately extracts core fields such as the unique work order identifier, associated equipment number, work order status, and update time. The parsed work order data is then stored in the centralized monitoring system's local database. During storage, each work order is strictly compared against its unique identifier against historical records in the database. The unique work order identifier is a unique and non-repeatable number that distinguishes different work orders. If the comparison result indicates that the work order is a unique data entry, the system will automatically update the data. If a new work order does not exist in the database, a complete storage record for that work order will be added directly to the local database. If the comparison result shows that the work order is an old work order that already exists in the database, the update time of the work order will be used to determine whether to update the existing record. Only if the update time of the work order obtained this time is later than the update time of the existing record in the database will the status, time and other information of the work order be overwritten and updated. If the update time is the same or earlier, the original historical record will be retained without modification. This ensures the real-time, completeness and uniqueness of the work order data in the local database, and lays a solid data foundation for the subsequent association and matching of equipment operation data and work order data, as well as automatic tagging and detachment operations.

[0021] After accurately determining the actual operating status of the equipment at each moment, the system will sequentially advance the core operations of cross-regional transmission of equipment status and automatic tagging and untagning. First, it will perform the cross-regional data transmission of the actual operating status of the equipment to the work order management system. The specific implementation method is as follows: The centralized monitoring system first calculates statistical indicators related to equipment downtime based on the actual operating status of the equipment obtained through hierarchical judgment rules. These statistical indicators are core data that quantifies equipment downtime, including single downtime duration, cumulative downtime duration, downtime frequency, and corresponding work order numbers. They are crucial for the work order management system to conduct maintenance statistics, efficiency analysis, and closed-loop work order management. After calculating the statistical indicators, the centralized monitoring system transmits this data across zones via a forward isolation device. This forward isolation device, deployed between the production control zone and the management information zone, is a security protection device that supports only unidirectional data transmission. It strictly blocks reverse network attacks and illegal data interaction, comprehensively ensuring the operational security of the production control zone. The process employs a lightweight data transmission protocol, which simplifies redundant data fields and complex protocol headers, retaining only core statistical data. This protocol features high transmission efficiency, low bandwidth consumption, and strong compatibility, ultimately ensuring the secure and stable transmission of statistical data to the work order management system in the management information area. This provides accurate data support for subsequent statistical analysis by the work order system. Following this, the centralized monitoring system deeply correlates real-time equipment operation data with the parsed and stored work order data. Based on preset trigger conditions, it automatically performs tagging or untagning operations on the corresponding equipment and synchronously updates the equipment's tagging records. These tagging records are unique status identifiers used to mark equipment downtime caused by planned maintenance or repair work orders. They effectively distinguish between planned downtime and fault-based downtime and are the core basis for avoiding invalid alarms. The specific execution process is as follows: When the centralized monitoring system detects a change in equipment's operating status from normal to stopped through real-time operational data monitoring, and simultaneously confirms through work order data retrieval that there is an associated maintenance work order for that equipment that is not closed, it will automatically generate a complete tagging record for the equipment based on that open work order. The record clearly marks key information such as the associated equipment number, the corresponding work order number, the tagging trigger time, and the tagging type. When the system detects that the status of the work order associated with the equipment changes from open to closed, or when the system detects that the equipment's real-time operating status recovers from stopped to running, and this running status is maintained for a preset time threshold (the preset time is a stable judgment period set to avoid misjudgments caused by sudden restarts or status fluctuations of the equipment, ensuring the accuracy of status identification), the system will automatically perform a tag removal operation. This is done by directly removing the tagging record from the local database or by marking the original tagging record as removed, ensuring that the equipment tagging record is always consistent with the actual operating status and work order processing status, providing accurate status basis for subsequent equipment status determination and alarm suppression operations.

[0022] After completing the dual determination of equipment operating status and work order status and preparing to trigger the automatic tagging operation, the system will further verify the compliance of the tagging reference count for unclosed work orders. This is to standardize the usage logic of work order tagging. Unclosed work orders refer to those that have not yet completed closed-loop archiving and are still in the inspection or maintenance execution phase. The number of times a work order has been referenced refers to the cumulative number of times the system has previously called the work order to generate tagging records for associated equipment. The preset upper limit is the maximum number of times a single work order can be tagged according to the new energy station operation and maintenance management specifications, pre-configured to prevent the unlimited reuse of a single work order. To prevent management chaos, the system first retrieves the historical tagging records of the unclosed work order from the local database, accurately counting the actual number of times the work order has been tagged. Then, it compares the results with a preset limit. If the system verifies that the number of times the unclosed work order has been tagged has not reached the preset limit, meeting the conditions for automatic tagging, the system automatically generates a tagging record containing complete information such as the associated equipment number, work order number, tagging time, and tagging type, and updates this record synchronously in the equipment tagging ledger. If the system verifies that the work order has been tagged... If the number of attempts has reached the preset limit, exceeding the tagging limit for a single work order, the system will automatically terminate the automatic tagging process. Instead, it will push a clear and concise prompt to the on-duty maintenance personnel through the human-machine interface (HMI). The HMI is the front-end interaction port of the centralized monitoring system, featuring pop-up prompts, information display, and manual operation access. The prompt will fully display key information such as the work order number, the tagging limit reached, and the equipment number to be tagged, clearly informing the maintenance personnel of the reason why automatic tagging cannot be performed. The maintenance personnel can then determine whether manual tagging is necessary based on the actual on-site maintenance schedule, work order execution status, and equipment operating requirements. When selecting this device for tagging, maintenance personnel can input confirmation or cancellation commands via the operation buttons on the human-machine interface. The system will collect and recognize the final operation results of the maintenance personnel in real time. If the maintenance personnel confirm manual tagging, the system will create a manual tagging record for the device based on the manual command and update the device tagging record synchronously. If the maintenance personnel choose to cancel tagging, the system will not generate any tagging record but will retain the operation log. Finally, the system will strictly follow the operation results of the maintenance personnel to update the device tagging record, ensuring that the tagging operation not only conforms to the system's preset rules but also adapts to the flexible operation and maintenance management needs on site.

[0023] After completing the real-time and accurate updating of equipment tagging records, the centralized monitoring system will rely on a preset status determination system to accurately determine the actual operating status of the equipment, combining real-time operating data with tagging records. This determination process is achieved through systematic rule configuration. First, the centralized monitoring system will predefine and configure various equipment status types, including offline, running, and stopped states. Offline state refers to the state where communication between the equipment and the centralized monitoring system is interrupted and real-time operating data cannot be uploaded normally. Running state is the state where the equipment's core operating indicators are normal and it is working stably. Stopped state is the state where the equipment has stopped outputting data and is undergoing maintenance or is out of service. At the same time, the system will set a clear determination priority order for these status types. The determination priority order is the order in which the system performs status determination to avoid determination conflicts when multiple status conditions are met simultaneously, ensuring that the final output is a unique and accurate equipment status. Subsequently, the system will match and configure a unique logical determination expression for each equipment status type. The logical determination expression is a standardized logical operation rule used by the system to determine whether the equipment is in a certain state, and it is also the core basis for status determination. The system is composed of a data acquisition condition clause and a tag status condition clause, combined with logical connectors. These logical connectors include common logical operators such as "AND," "OR," and "NOT" to determine the combined judgment relationship between the two condition clauses. The data acquisition condition clause is based on real-time equipment operation data collected from the production control area. It includes a comparison relationship between one or more real-time operating parameters of the equipment and preset thresholds of the system. The real-time operating parameters cover core monitoring indicators such as equipment output power, voltage, current, and communication status. The preset thresholds are parameter thresholds pre-set according to equipment factory standards and site operation and maintenance specifications. The comparison relationship includes basic judgment forms such as greater than, less than, equal to, and not equal to. The tag status condition clause is based on the current tag records of the equipment. It generates corresponding judgment conditions based on information such as whether the equipment has valid tag records, the type of tag record, and the tag status. Through this complete and standardized rule configuration, the system can simultaneously combine the actual equipment operation data and the work order tag status to carry out multi-condition comprehensive logical operations, laying a solid rule foundation for accurately determining the actual operating status of the equipment at each moment.

[0024] After completing the comprehensive preset configuration of equipment status types, judgment priorities, and various logical judgment expressions, the system proceeds to the actual execution of the logical judgment expressions. This step is the core process for accurately determining the actual operating status of the equipment. The system strictly follows the previously preset priority order of status types, traversing and judging from high-priority statuses to low-priority statuses in sequence to prevent judgment conflicts that occur when multiple status conditions are met simultaneously. Subsequently, the system will substitute the real-time collected and standardized equipment operating data, as well as the latest updated equipment tagging records after automatic tagging and detentation, into the logical judgment expressions of the corresponding priority status types to perform standardized logical calculations and condition checks. In the specific calculation process, the system will parse the verification results of the site data collection condition clause and the tagging status condition clause, and then verify the combined logical relationship between the two condition clauses through logical connectors. When the judgment of the site data collection condition clause and the tagging status condition clause is... When the result fully satisfies the logical relationship set by the logical judgment expression, the system will immediately stop the subsequent low-priority state judgment process and directly determine the actual operating state of the device corresponding to that state type. If the device has multiple tag records at the same time, multiple tag records refer to multiple valid tag identifiers generated after the device is associated with multiple unclosed work orders or multiple triggers of shutdown tagging, the system will not substitute all tag records into the calculation at the same time. Instead, before substituting parameters into the tag status condition clause, the system will select a unique tag record as a valid input from multiple tag records according to the system's pre-set selection rules. The pre-set rules are usually formulated in combination with the latest tag time, tag type priority, work order execution level and other site operation and maintenance management requirements to ensure that the selected tag record best matches the current actual operation and maintenance of the device. Then, the state corresponding to the valid tag record is substituted into the tag status condition clause to participate in the logical operation, ultimately ensuring that the judgment result of the device's actual operating state is unique, accurate and consistent with the actual operation and maintenance scenario on site.

[0025] After accurately determining the actual operating status of the equipment and clarifying the tag type corresponding to the equipment tag record, the centralized monitoring system enters the core stage of intelligent alarm management. Based on the tag type and the actual operating status of the equipment obtained through comprehensive logical calculations of multiple conditions, the system dynamically matches the alarm suppression rules preset by the system. The tag type is classified according to the purpose of work order maintenance, such as inspection tag, maintenance tag, and test tag, to distinguish different planned shutdown scenarios. The alarm suppression rules are the matching strategies preset by the system to avoid invalid alarms during planned maintenance. They include a one-to-one correspondence between tag type, equipment status, and operating conditions. During the dynamic matching process, the system will retrieve the current equipment tag type information and actual operating status information in real time and compare them precisely with each rule in the alarm suppression rule library. When the system determines that the equipment is currently in an operating state corresponding to a specific tag type, and the real-time monitoring data of the equipment fully meets the specific operating conditions associated with that state, the specific operating conditions refer to the normal parameter range under planned shutdown and maintenance, such as zero output power and normal communication link. If there are no critical fault parameters exceeding limits, the system will automatically trigger alarm suppression for the device. Alarm suppression refers to the mechanism of shielding routine non-emergency alarms during planned maintenance to prevent invalid alarms from interfering with maintenance monitoring. Once triggered, all real-time push notifications, audible and visual alerts, and front-end pop-up alarms for the device will be immediately suspended, retaining only the background monitoring capability for the highest-level emergency fault alarms. When the system detects a change in the device's operating status, such as returning from a stopped state to a stable operating state or the corresponding tag being removed, no longer meeting the triggering conditions of the alarm suppression rules, or when the device's real-time operating data shows anomalies indicating an emergency, such as insulation parameters exceeding limits, a sharp rise in temperature, or short-circuit faults, the system will automatically lift the current alarm suppression state and fully restore normal monitoring, real-time push notifications, and tiered alerts for all alarm information of the device. This achieves accurate differentiation between planned maintenance alarms and sudden fault alarms, effectively reducing the interference of invalid alarms on maintenance work and ensuring that emergency abnormalities of the equipment are detected and handled quickly in a comprehensive manner.

[0026] The second objective of this invention is to provide a system for implementing a centralized monitoring method for new energy equipment based on work order tagging, including any of the above-mentioned features, comprising: Data acquisition and processing unit 1 is deployed in the production control area and the management information area to collect real-time operating data of new energy equipment and to obtain work order data from the work order management system. The data processing and judgment unit 2 is used to associate the real-time operating data of the equipment with the work order data, perform automatic tagging and tag removal operations to update the tagging records, and perform multi-condition comprehensive logical operations based on the real-time operating data and tagging records according to the preset hierarchical judgment rules to determine the actual operating status of the equipment at each moment. The cross-regional data transmission unit 3 is used to securely transmit work order data and equipment real operating status or related statistical index data obtained by the data processing and judgment unit in both directions between the management information area and the production control area. The control and execution unit 4 is used to dynamically match and execute alarm suppression rules based on the tagging records and the actual operating status of the equipment, so as to control the triggering and notification of alarms.

[0027] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely preferred examples and are not intended to limit the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A centralized monitoring method for new energy equipment based on work order tagging, characterized in that: Includes the following steps: S1. In the production control area, collect real-time operating data of new energy equipment and upload it to the centralized monitoring system for standardized storage; S2. In the management information area, obtain work order data containing equipment, work order status and time information from the work order management system, and transmit the work order data to the centralized monitoring system through the cross-regional data transmission method. S3. The centralized monitoring system associates the real-time operating data of the equipment with the work order data. When the preset conditions are met, it automatically performs tagging or detagning operations for the corresponding equipment and updates the tagging records of the equipment. S4. The centralized monitoring system, based on the real-time operating data of the equipment and the tagging record, performs multi-condition comprehensive logical operations according to preset, hierarchical judgment rules to determine the actual operating status of the equipment at each moment. S5. The actual operating status of the equipment at each moment is transmitted back to the work order management system for statistical analysis through the cross-regional data transmission method. S6. The centralized monitoring system performs alarm suppression for the corresponding devices based on the device's tagging records and the actual operating status of the devices at each moment.

2. The centralized monitoring method for new energy equipment based on work order tagging according to claim 1, characterized in that: In the management information area, work order data is retrieved from the work order management system, specifically including: The centralized monitoring system, in the management information area, calls the data interface of the work order management system to periodically obtain changed work order data based on the work order update time field, and performs status filtering on the obtained work order data to exclude work orders in a specific initial state. The filtered work order data is then converted into a specific text format that can be transmitted through the reverse isolation device.

3. The centralized monitoring method for new energy equipment based on work order tagging according to claim 2, characterized in that: The process of converting the filtered work order data into a specific text format that can be transmitted via the reverse isolation device also includes: In the production control area, the centralized monitoring system receives and parses the work order data in the specific text format, stores the work order data in the local database, and compares it with the historical stored records based on the unique identifier of the work order. If it is a new work order, a new record is added; if it is an existing work order, the system determines whether to update the existing record based on its update time.

4. The centralized monitoring method for new energy equipment based on work order tagging according to claim 1, characterized in that: The real-time operating status of the equipment is transmitted back to the work order management system via a cross-regional data pass-through method, specifically including: Based on the actual operating status of the equipment as determined by the centralized monitoring system, the system calculates statistical indicators related to equipment shutdown and sends these statistical indicators to the work order management system of the management information area via a forward isolation device using a lightweight data transmission protocol.

5. A centralized monitoring method for new energy equipment based on work order tagging according to claim 1, characterized in that: The automatic execution of tagging or untagting operations for the corresponding equipment and updating the equipment's tagging record when preset conditions are met specifically includes: When the centralized monitoring system detects that the real-time operating status of the equipment changes from running to stopped, and there is an unclosed work order associated with the equipment, it automatically generates a tag record for the equipment based on the work order. When the system detects that the status of the work order associated with the equipment changes to closed, or detects that the real-time operating status of the equipment recovers from stopped to running and continues for a preset time, it automatically performs a tag removal operation to remove or mark the corresponding tag record.

6. A centralized monitoring method for new energy equipment based on work order tagging according to claim 5, characterized in that: The automatic referencing of the work order to generate a tagging record for the equipment also includes: If the number of times an unclosed work order has been referenced and tagged has not reached the preset limit, a tagging record will be automatically generated. If the number of times the work order has been referenced and tagged has reached the preset limit, a prompt message will be pushed to the maintenance personnel through the human-machine interface, and the maintenance personnel will decide whether to manually select to tag the device and update the device's tagging record according to the maintenance personnel's operation results.

7. A centralized monitoring method for new energy equipment based on work order tagging according to claim 1, characterized in that: The multi-condition comprehensive logical operation according to the preset, hierarchical judgment rules specifically includes: The centralized monitoring system presets multiple device status types, including offline, running, and stopped states, and their judgment priority order. For each device status type, a logical judgment expression is configured. The logical judgment expression is composed of a field data acquisition condition clause and a tag status condition clause combined by a logical connector. The field data acquisition condition clause contains a comparison relationship between one or more real-time operating parameters of the device and a preset threshold, while the tag status condition clause is determined based on the current tag record of the device.

8. A centralized monitoring method for new energy equipment based on work order tagging according to claim 7, characterized in that: The execution process of the logical judgment expression specifically includes: According to the priority order of the status types, the real-time operating data of the equipment and the listing records are substituted into the logical judgment expression of the corresponding status type for calculation. When the logical relationship between the data acquisition condition clause of the site and the listing status condition clause is satisfied, the equipment is determined to be in that status. If the equipment has multiple listing records at the same time, when substituting into the listing status condition clause, the status corresponding to one of the listing records is selected as the valid input according to the preset rules.

9. A centralized monitoring method for new energy equipment based on work order tagging according to claim 8, characterized in that: Based on the tag type indicated by the tag record and the actual operating status of the device determined by the multi-condition comprehensive logic operation, the preset alarm suppression rules are dynamically matched. When the device is determined to be in the state corresponding to a specific tag type and its real-time operating data meets the specific working conditions associated with that state, alarm suppression for the device is automatically triggered, and the real-time push and reminder of its alarms are suspended. When the device state changes, no longer meets the triggering conditions of the alarm suppression rules, or its real-time operating data shows an anomaly that indicates an emergency situation, alarm suppression is automatically lifted to restore normal alarm monitoring.

10. A system for implementing a centralized monitoring method for new energy equipment based on work order tagging as described in any one of claims 1-9, characterized in that, include: The data acquisition and acquisition unit (1) is deployed in the production control area and the management information area to collect real-time operating data of new energy equipment and to acquire work order data from the work order management system. The data processing and judgment unit (2) is used to associate the real-time operation data of the equipment with the work order data, perform automatic tagging and tag removal operations to update the tagging record, and perform multi-condition comprehensive logical operation according to the preset hierarchical judgment rules based on the real-time operation data and tagging record to determine the actual operation status of the equipment at each moment. The cross-regional data transmission unit (3) is used to securely transmit the work order data and the actual operating status of the equipment or related statistical indicators obtained by the data processing and judgment unit in both directions between the management information area and the production control area. The control and execution unit (4) is used to dynamically match and execute alarm suppression rules based on the tagging records and the actual operating status of the equipment, so as to control the triggering and notification of alarms.

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