Asset checking method and system based on production business awareness, and storage medium

Abstract

The invention discloses an asset checking method and system based on production service awareness and a storage medium, and belongs to the technical field of digital management of telecommunication network resources, and the method comprises the steps: carrying out the data collection based on a service system data source, and obtaining the online state of equipment, a work order operation record, a resource topological relation and spatial position information; non-perceptual checking is carried out based on dimensions of time, business and space; generating an inventory evidence packet, wherein the inventory evidence packet comprises a business data snapshot, a space verification result, a judgment log and an evidence chain upper chain storage evidence; the invention discloses a rewriting asset management system. According to the method, the asset state is sensed based on service production data, and service operation data such as a work order operation record, a network management heartbeat packet and an equipment port load are used as asset inventory evidence; the inventory state is judged from the dimension of time + business + space, the whole inventory task is completed without perception, and the method has good practicability.

Description

Technical Field

[0001] This invention belongs to the technical field of digital management of telecommunications network resources, specifically relating to an asset inventory method, system, and storage medium based on production business perception. Background Technology

[0002] With the rapid development of telecommunications services, the quantity and types of fixed assets are constantly increasing, making asset data management more difficult. Therefore, regular inventory checks can promptly identify errors and omissions in asset data, ensuring its accuracy. This helps to understand the actual usage of various assets within the enterprise, identify idle and wasteful activities, and thus take measures to improve asset utilization efficiency and reduce operating costs. However, facing massive amounts of assets—with millions of asset cards in a single province—a single asset custodian needs to manage hundreds of thousands or even millions of asset cards. Although existing QR code or RFID tag technologies can greatly improve inventory efficiency, the sheer volume of assets to be inventoried annually, coupled with the highly dispersed distribution of telecommunications network assets, means that completing a full inventory requires a significant amount of manpower and time. Summary of the Invention

[0003] The purpose of this invention is to provide an asset inventory method, system, and storage medium based on production business awareness, in order to solve the above-mentioned problems.

[0004] This invention is mainly achieved through the following technical solutions: An asset inventory method based on production business awareness includes the following steps: Step S1: Collect data based on the data source of the business system to obtain the online status of the equipment, work order operation records, resource topology relationships and spatial location information; Step S2: Conduct a seamless inventory check based on time, business, and space dimensions; Step S21: Conduct a seamless inventory based on the time dimension; Newly delivered assets are counted without being noticed: For assets whose capitalization date falls within the threshold time of the inventory task creation date, and for which resources have been matched, they are judged to have been counted. New resource inventory without awareness: For newly created inventory tasks within a threshold time period, the resources corresponding to the assets are judged to have been inventoried. Inventory of already inventoried resources without being noticed: For assets corresponding to inventory tasks that have been inventoried within a threshold time, they are judged to have been inventoried. Step S22: Conduct a seamless inventory based on business dimensions; Port-insensitive inventory: For port-type devices, if the port occupancy rate is greater than or equal to the set threshold, the device and its upstream devices are marked as having been inventoried. Unobtrusive inventory of pipeline facilities: For pipeline facilities, if the associated optical cables have been inventoried, mark the manhole / optical distribution box as inventoried; Seamless inventory management of network management data: For online network management devices, if the heartbeat is normal for 30 consecutive days, it is marked as being in use and has been inventoried. Step S23: Perform spatial location verification based on spatial dimensions; verify the consistency between the logical location and physical location of the asset through the GIS system; Step S3: Generate an inventory evidence package, which includes business data snapshots, spatial verification results, judgment logs, and on-chain evidence storage. Step S4: Reverse write the asset management system.

[0005] To better implement the present invention, further, in step S23, the latitude and longitude of the device and the logical position of the resource tree are compared. If the offset between the two is less than or equal to a set threshold, the process is maintained; otherwise, a review process is triggered. The vehicle trajectory and the electronic fence are compared. If the boundary is crossed, an alarm is triggered.

[0006] To better realize the present invention, further, in step S2, the non-sensory inventory also includes non-sensory inventory of equipment associated splitters, non-sensory inventory of APP inspections, non-sensory inventory of cutover work orders, and non-sensory inventory of manhole equipment.

[0007] To better realize the present invention, the seamless inventory of the cutover work order is further described as follows: obtaining the comprehensive cutover work order information, and based on the resources of SDH, SPDH, DWDM, DDF, aggregation switch, OLT, OBD, ODF, optical cross-connect box, optical fiber splitter box, and MODF equipment involved in the cutover project, and taking the completion of the cutover project as the basis, performing a seamless inventory analysis of the corresponding equipment.

[0008] To better realize the present invention, it is further applied to the non-intrusive inventory of OBD devices, including the following steps: Step T1: Data Acquisition; Installation and maintenance APP QR code scanning record: When installation and maintenance personnel scan the OBD QR code for on-site repair / service activation, the device ID, timestamp, and GPS location are recorded; Resource system port configuration: Obtain OBD port service configuration information from the comprehensive resource system; Uplink OLT reverse inference information: Monitor the optical power of the OLT port connected to the OBD through the network management system; Step T2: Seamless inventory count; (1) When the port occupancy rate is ≥33%, mark the OBD as in use and inventoryed; (2) Based on the resource topology, recursively mark the upstream devices and their associated facilities as inventoried; (3) Time window constraint: Only active devices within the last 3 months will be processed; Step T2: Spatial location verification; The GPS coordinates recorded by scanning the code in the installation and maintenance APP are compared with the logical location in the resource tree, and the tolerance for the offset between the two is 200 meters. Step T3: Generate inventory evidence package = {Asset ID, Judgment Basis, Associated Device, Location Verification}.

[0009] This invention is mainly achieved through the following technical solutions: An asset inventory system based on production business awareness is used to implement the aforementioned asset inventory method based on production business awareness. It is characterized by including a data acquisition module, a non-perceptible inventory module, an evidence chain generation module, and a system reverse writing module.

[0010] A computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the aforementioned asset inventory method based on production business awareness.

[0011] The beneficial effects of this invention are as follows: This invention perceives asset status based on business production data, using operational data such as work order records, network management heartbeat packets, and device port load as evidence for asset inventory. It determines inventory status from the dimensions of time, business, and space, achieving millisecond-level data integration between asset cards (CMDB), network resources (integrated asset management system), and business work orders (BOSS system), filling data gaps in the industry. Specifically, this invention helps asset custodians complete the entire inventory task seamlessly by acquiring relevant information about daily use and maintenance of equipment.

[0012] This invention revolutionizes the traditional asset inventory model, shortening the inventory cycle for millions of assets from 3-6 months to real-time completion and reducing labor costs by 90%. It solves the problems of "unidentifiable and inaccurate inventory" caused by scattered asset distribution, increasing inventory coverage from 70% to 99%. The invention significantly improves data accuracy by using business production data to inform asset status, increasing the consistency rate between accounts and physical assets from 82% to 99.5%. A dual spatial location verification mechanism reduces the positioning error rate from 15% to 0.1%. This invention enables proactive business risk control, enabling real-time detection of idle assets (automatically marking equipment idle for more than 6 months), saving over ten million yuan in annual maintenance costs. It automatically releases resources in fiber optic cable splicing / decommissioning scenarios, avoiding business conflicts caused by "ghost ports." This invention supports agile deployment of new services, providing accurate resource pool data for 5G network slicing, reducing service activation time from 3 days to 1 hour; and a dynamic resource utilization dashboard supports cloud-network converged resource scheduling decisions. Attached Figure Description

[0013] Figure 1 This is a flowchart of an asset inventory method based on production business perception according to the present invention; Figure 2 This is a flowchart of Example 2. Detailed Implementation

[0014] Example 1: An asset inventory method based on production business awareness helps asset custodians seamlessly complete the entire inventory task by acquiring relevant information about company employees' daily use and maintenance of equipment. This mainly includes seamless inventory of newly delivered assets, seamless inventory of previously inventoried resources, seamless inventory triggered by port occupancy rates, seamless inventory of pipeline and facility associations, and seamless inventory linked to work orders / inspection data. Preferably, it also includes seamless inventory of newly added resources, seamless inventory of equipment associated with splitters, seamless inventory of APP inspections, seamless inventory of network management data, seamless inventory of cutover work orders, and seamless inventory of manhole equipment.

[0015] Preferably, such as Figure 1 As shown, the present invention specifically includes the following steps: 1. Multi-source business data collection; It connects to 10+ business production systems, including network management systems, comprehensive asset management systems, installation and maintenance apps, and vehicle management systems, to obtain the following data in real time: (1) Device online status (network management heartbeat); (2) Work order operation record (cut-off completion time, barcode scanning record); (3) Resource topology (optical cable associated splitter / manhole); (4) Spatial location information (GPS latitude and longitude, electronic fence).

[0016] 2. Seamless inventory rule engine; (1) Time-based rules: Automatic inventory count is triggered when assets meet any of the following conditions: 1) The capitalization date is within 3 months prior to the inventory count date (for newly delivered assets); For assets newly transferred to fixed assets within the past three months (i.e., assets whose capitalization date is within three months prior to the date the inventory task was created, calculated on a monthly basis), and for which resources have already been matched, the system automatically determines that the assets have been inventoried. For inventoried assets, the process of accepting newly delivered assets and affixing QR codes is then carried out.

[0017] 2) Associated resources created ≤ 3 months ago (new resources); If the resources corresponding to the assets in the inventory task were newly created within the last three months, the system will automatically determine that they have been inventoried. Then, the construction unit will create an approval process for the resources.

[0018] 3) The most recent manual inventory count was ≤3 months ago (historical inventory counts are inherited).

[0019] If the assets corresponding to the inventory task have been inventoried within the past three months, the system will automatically determine that they have been inventoried. This will allow for the performance of routine asset inventory checks.

[0020] (2) Business strong association rules: 1) Port-type devices: Port occupancy rate ≥ 33% ​​→ Automatically mark the device and its uplink devices as "inventoryed".

[0021] For example, if an OBD device is identified as such and its port occupancy rate exceeds one-third, it is automatically determined to have been inventoried. If the OBD device has been inventoried, the upstream devices (OBD, OLT, etc.) and their associated enclosures (optical fiber splitter boxes, etc.) are also identified as having been inventoried.

[0022] Based on the equipment QR code labeling records within three months of the inventory task start time, the corresponding matching asset data is listed as "unobtrusive inventory". Based on the inspection cycle work record data, with July 1st of each year as the dividing line, the resources that have completed the inspection are listed as "unobtrusive inventory data for the first / second half of the year".

[0023] The formula for calculating port occupancy rate in the service association determination is as follows: Port occupancy rate = Number of configured service ports / Total number of ports × 100%; Port occupancy rate = Total number of ports / Number of configured service ports × 100%. 2) Pipeline facilities: If the associated optical cables have been inventoried, the manhole / optical distribution box will be automatically marked as "inventoryed"; For fiber optic cable assets that have already been inventoried, the system automatically identifies the manholes, handholes, and enclosures (optical junction boxes and optical splitters) at both ends as having been inventoried.

[0024] 3) Network management online devices: If the heartbeat is normal for 30 consecutive days, mark it as "in use and inventory checked".

[0025] Based on the network management monitoring status, and through the end-to-end data integration of network management, resources, and assets, it is mainly used for data inventory of optical transceiver equipment to solve the problem of a large number of client devices, wide distribution, and inconvenience for on-site verification.

[0026] Seamless inventory of cutover work orders: Obtain comprehensive cutover work order information, and based on the resources involved in the cutover project, such as SDH, SPDH, DWDM, DDF, aggregation switches, OLT, OBD, ODF, optical distribution boxes, optical fiber distribution boxes, MODF equipment, etc., conduct a seamless inventory analysis of the corresponding equipment based on the completion of the cutover project.

[0027] (3) Spatial location cross-verification; verifying the consistency between the logical location and physical location of assets through the GIS system: 1) Equipment latitude and longitude vs. resource tree logical location (offset ≤ 50 meters); 2) Vehicle trajectory vs. electronic fence (automatic alarm for boundary crossing); The office vehicle management system (each vehicle asset card is registered with its license plate number); account information is recorded on personal computer terminal asset cards and compared with the authentication systems of the IT portal and VPN.

[0028] 3) Abnormal scenario handling: When the location does not match, the installation and maintenance personnel will be triggered to verify the work order on-site.

[0029] 3. Closed-loop management of the evidence chain, generating an inventory evidence chain; 1) Automatically generate inventory evidence package, including: Business data snapshots (such as cutover work order number, scanning time); Spatial verification results (GPS coordinates, offset); Rule engine decision logs; Evidence is stored on the blockchain, supporting audit traceability.

[0030] 4. Reverse write the asset management system.

[0031] Example 2: An asset inventory method based on production business awareness is described, taking the non-aware inventory of OBD devices as an example, illustrating the process of automatic inventory triggered by port occupancy and the inheritance by upstream devices. Figure 2 As shown, it includes the following steps: 1. Real-time data acquisition; Installation and maintenance APP QR code scanning record: When installation and maintenance personnel scan the OBD QR code for on-site repair / service activation, the system records the device ID + timestamp + GPS location; Resource system port configuration: Obtain OBD port service configuration information (such as binding customer accounts and service VLANs) from the comprehensive resource system. Uplink OLT reverse inference: Monitor the optical power of the OLT port connected to the OBD through the network management system (if there is an optical signal, it proves that the physical connection of the OBD is normal).

[0032] 2. Rule engine determination; (1) When the port occupancy rate is ≥33% (Example: ≥16 ports of a 48-port device are active for services): The system automatically marks the OBD as "in use and inventory checked"; (2) Based on the resource topology, recursively mark its uplink equipment (OLT-456) and its associated facilities (optical distribution box-789) as "inventoryed".

[0033] (3) Time window constraint: Only active devices within 3 months are processed (to avoid interference from historical data).

[0034] 3. Spatial location verification; (1) Prioritize using the GPS coordinates when scanning the code with the installation and maintenance APP (which are more accurate than the resource system address). (2) When comparing with the logical location of the resource tree, the tolerance offset is increased from 50 meters to 200 meters (because passive devices are often deployed in obstructed environments such as corridors / wells). 4. Closed-loop chain of evidence; {"Asset ID":"OBD-789","Judgment Basis":["Installation and Maintenance Scan Record 2025-05-12 (Work Order No.:GD2025512)","Uplink OLT-001 Port RX Power: -25dBm"],"Associated Devices":["OLT-001","Optical Distribution Box-ABC"],"Location Verification":"Scan coordinates offset from resource tree by 152 meters (passed)"}.

[0035] A provincial telecommunications company needed to inventory 100,000 OBD (Optical Distribution Module) devices. Traditional manual inventory would take three months. This solution automatically completes 98% of the device inventory using business data, only issuing manual work orders for the 2% of abnormal devices, as shown in Table 1. This invention achieves a significant efficiency improvement: the inventory of 100,000 devices is completed in real-time instead of three months (manual processing only for the 2% of abnormal devices); a single OBD inventory automatically covers three related devices (uplink OLT + optical distribution box), reducing repetitive work. This invention can prevent false positives: spatial verification blocks 5% of devices with abnormal locations (such as those whose resource data has not been updated after data center relocation).

[0036] This invention perceives asset status based on business production data. Specifically, it uses operational data such as work order records, network management heartbeat packets, and device port load as evidence for asset inventory, breaking the limitations of traditional reliance on manual on-site verification. This invention designs a multi-dimensional dynamic judgment model of "time + business + space," acquiring data based on a time sliding window (3-month validity period), constructing a strong business correlation chain (port occupancy rate → device status → pipeline facilities), and performing spatial location blockchain notarization. It supports hot-swappable rules and adapts to different asset types (1-10 categories). This invention enables collaborative control of seamless inventory and manual inventory. The rule engine covers 80% of highly reliable assets, and the remaining 20% ​​of abnormal assets (such as location offsets or lack of business data) automatically dispatch installation and maintenance work orders, constructing a hybrid inventory paradigm of "machine-based, manual-assisted." This invention achieves millisecond-level data integration of asset cards (CMDB), network resources (Comprehensive Asset Management System), and business work orders (BOSS System), filling data gaps in the industry.

[0037] Table 1 The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Any simple modifications or equivalent changes made to the above embodiments based on the technical essence of the present invention shall fall within the protection scope of the present invention.

Claims

1. An asset inventory method based on production business perception, characterized in that, Includes the following steps: Step S1: Collect data based on the data source of the business system to obtain the online status of the equipment, work order operation records, resource topology relationships and spatial location information; Step S2: Conduct a seamless inventory check based on time, business, and space dimensions; Step S21: Conduct a seamless inventory based on the time dimension; Newly delivered assets are counted without being noticed: For assets whose capitalization date falls within the threshold time of the inventory task creation date, and for which resources have been matched, they are judged to have been counted. New resource inventory without awareness: For newly created inventory tasks within a threshold time period, the resources corresponding to the assets are judged to have been inventoried. Inventory of already inventoried resources without being noticed: For assets corresponding to inventory tasks that have been inventoried within a threshold time, they are judged to have been inventoried. Step S22: Conduct a seamless inventory based on business dimensions; Port-insensitive inventory: For port-type devices, if the port occupancy rate is greater than or equal to the set threshold, the device and its upstream devices are marked as having been inventoried. Unobtrusive inventory of pipeline facilities: For pipeline facilities, if the associated optical cables have been inventoried, mark the manhole / optical distribution box as inventoried; Seamless inventory management of network management data: For online network management devices, if the heartbeat is normal for 30 consecutive days, it is marked as being in use and has been inventoried. Step S23: Perform spatial location verification based on spatial dimensions; verify the consistency between the logical location and physical location of the asset through the GIS system; Step S3: Generate an inventory evidence package, which includes business data snapshots, spatial verification results, judgment logs, and on-chain evidence storage. Step S4: Reverse write the asset management system.

2. The asset inventory method based on production business perception according to claim 1, characterized in that, In step S23, the latitude and longitude of the device are compared with the logical position of the resource tree. If the offset between the two is less than or equal to a set threshold, the process is maintained; otherwise, a review process is triggered. The vehicle trajectory and the electronic fence are compared. If the vehicle crosses the boundary, an alarm is triggered.

3. The asset inventory method based on production business perception according to claim 1, characterized in that, In step S2, the non-sensory inventory also includes non-sensory inventory of equipment associated splitters, non-sensory inventory of APP inspections, non-sensory inventory of cutover work orders, and non-sensory inventory of manhole equipment.

4. The asset inventory method based on production business perception according to claim 3, characterized in that, The seamless inventory check of the cutover work order involves: acquiring comprehensive cutover work order information, and based on the resources of SDH, SPDH, DWDM, DDF, aggregation switch, OLT, OBD, ODF, optical cross-connect box, optical fiber splitter box, and MODF equipment involved in the cutover project, conducting a seamless inventory check analysis of the corresponding equipment based on the completion of the cutover project.

5. An asset inventory method based on production business perception according to any one of claims 1-4, characterized in that, This method is applied to perform seamless inventory checks on OBD devices and includes the following steps: Step T1: Data Acquisition; Installation and maintenance APP QR code scanning record: When installation and maintenance personnel scan the OBD QR code for on-site repair / service activation, the device ID, timestamp, and GPS location are recorded; Resource system port configuration: Obtain OBD port service configuration information from the comprehensive resource system; Uplink OLT reverse inference information: Monitor the optical power of the OLT port connected to the OBD through the network management system; Step T2: Seamless inventory count; (1) When the port occupancy rate is ≥33%, mark the OBD as in use and inventoryed; (2) Based on the resource topology, recursively mark the upstream devices and their associated facilities as inventoried; (3) Time window constraint: Only active devices within the last 3 months will be processed; Step T2: Spatial location verification; The GPS coordinates recorded by scanning the code in the installation and maintenance APP are compared with the logical location in the resource tree, and the tolerance for the offset between the two is 200 meters. Step T3: Generate inventory evidence package = {Asset ID, Judgment Basis, Associated Device, Location Verification}.

6. An asset inventory system based on production business awareness, used to implement the asset inventory method based on production business awareness as described in any one of claims 1-5, characterized in that, It includes a data acquisition module, a seamless inventory module, an evidence chain generation module, and a system reverse writing module.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by the processor, the program implements an asset inventory method based on production business awareness as described in any one of claims 1-5.

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