Enterprise dormitory asset RFID identification and life cycle management system

Abstract

The present application relates to the technical field of asset management, in particular to an enterprise dormitory asset RFID identification and life cycle management system, which solves the problem that the existing enterprise asset management relies on the mode of manual account registration and regular manual inventory, and the management personnel needs to check and register the assets one by one, which is time-consuming and laborious and prone to errors, and the maintenance of the assets depends on manual memory or regular inspection, and there is a lack of effective early warning mechanism, comprising an enterprise dormitory asset supervision platform, the enterprise dormitory asset supervision platform is built-in with an asset full life cycle management model, and the enterprise dormitory asset supervision platform comprises an asset registration and binding module, a real-time positioning and inventory module, a state monitoring and early warning module and a full life cycle tracking analysis module. Through the automatic collection advantage of the RFID technology, the present application can build an asset full life cycle digital management system and improve the efficient management of the enterprise dormitory assets.

Description

Technical Field

[0001] This invention relates to the field of asset management technology, specifically to an RFID identification and lifecycle management system for corporate dormitory assets. Background Technology

[0002] Against the backdrop of the deepening digital transformation of enterprises, fixed assets, as a core element of enterprise production and operation, are directly related to cost control, resource allocation, and compliant operation in terms of management efficiency. As an important component of enterprise fixed assets, enterprise dormitory assets cover categories such as furniture, appliances, and equipment. They are characterized by their dispersed distribution, high frequency of use, and high turnover, making traditional management models inadequate for their refined management needs.

[0003] Existing enterprise asset management relies on manual ledger registration and periodic manual inventory, requiring managers to check and register assets one by one, which is time-consuming, labor-intensive, and prone to errors. Asset maintenance and upkeep largely depend on manual memory or periodic inspections, lacking an effective early warning mechanism. Therefore, it does not meet the current needs. To address this, we propose an RFID identification and lifecycle management system for enterprise dormitory assets. Summary of the Invention

[0004] The purpose of this invention is to provide an RFID identification and lifecycle management system for corporate dormitory assets, in order to solve the problems mentioned in the background art, which are that the existing corporate asset management relies on manual ledger registration and regular manual inventory, requiring managers to check and register assets one by one, which is time-consuming, labor-intensive and prone to errors, and the maintenance of assets relies on manual memory or regular inspections, lacking an effective early warning mechanism.

[0005] To achieve the above objectives, the present invention provides the following technical solution: an RFID identification and lifecycle management system for enterprise dormitory assets, including an enterprise dormitory asset supervision platform. The enterprise dormitory asset supervision platform has a built-in asset lifecycle management model and includes an asset registration and binding module, a real-time positioning and inventory module, a status monitoring and early warning module, and a lifecycle tracking and analysis module.

[0006] The asset registration and binding module is used to establish initial files for corporate dormitory assets and associate physical objects with RFID codes, and to ensure that corporate dormitory assets have a unique identifier.

[0007] The real-time positioning and inventory module is used to continuously scan the location information of target objects carrying valid tags in the surrounding area through a fixed reader array deployed in the environment.

[0008] The status monitoring and early warning module is used to read the historical trajectory data of the company's dormitory assets and analyze and mine potential risk factors to intervene in advance and avoid losses.

[0009] The full lifecycle tracking and analysis module provides intuitive operational efficiency assessment reports and helps managers make scientific resource allocation decisions.

[0010] Preferably, the asset registration and binding module consists of an RFID tag writing unit, an asset information database, and a storage interface. The RFID tag writing unit is used for inputting basic information about the company dormitory assets, including but not limited to model, purchase date, supplier, and purchase price. The storage interface is used for writing and storing the RFID tag codes.

[0011] Preferably, the asset information database is used to automatically encode and classify the RFID tags written to the storage interface. The encoding rules for the RFID tags of the enterprise dormitory assets in the asset information database are as follows:

[0012] C = CT + CN;

[0013] Where C is the complete asset code, CT is the asset type code, and CN is the serial number.

[0014] Preferably, the real-time positioning and inventory module consists of an RFID reader network, a signal processing unit, and an inventory task scheduler. The RFID reader network consists of multiple readers forming a reader array. The RFID reader network is used to continuously scan the company dormitory assets through the reader array and obtain the real-time location information of the assets. The inventory task scheduler is used to automatically trigger periodic inventory tasks for the company dormitory assets and ensure that the assets are consistent with the records.

[0015] Preferably, the signal processing unit is used to process the signal data collected by the reader array and calculate the precise location of the asset using the triangulation formula;

[0016] (x, y) = f(R1, R2, R3);

[0017] d = 10^((P0 - RSSI) / (10 * n));

[0018] Where R1, R2, and R3 are the signal strengths received by any three adjacent readers in the reader array, d is the distance between the reader and the company dormitory assets, P0 is the reference signal strength at 1m, RSSI is the received signal strength indicator, and n is the path loss index.

[0019] Preferably, the status monitoring and early warning module consists of a status assessment engine, an early warning rule base, and a maintenance plan generator. The status assessment engine is used to continuously monitor the operating status of the enterprise dormitory assets and analyze key indicators, including but not limited to usage frequency and environmental parameters. The maintenance plan generator is used to automatically generate maintenance plans, fault alarms, and repair work orders based on asset usage and fault prediction models.

[0020] Preferably, the early warning rule base is used to preset various early warning conditions and thresholds, and automatically triggers an early warning when the asset status is abnormal. The failure probability threshold of the early warning rule base for the enterprise dormitory assets is P, and the maintenance cost of the enterprise dormitory assets is preferably C.

[0021] P(failure) = 1 - e^(-λt);

[0022] C_total=C_maintenance+C_failure;

[0023] Where λ is the failure rate parameter, t is the usage time, C_maintenance is the maintenance cost, and C_failure is the failure loss cost.

[0024] Preferably, the full lifecycle tracking and analysis module consists of a stage manager, a cost analysis engine, and a report generator. The stage manager is used to track the entire process of corporate dormitory assets from procurement to disposal and automatically update the stage of the assets. The report generator is used to generate various statistical reports through the stage manager and the cost analysis engine. The statistical reports include, but are not limited to, asset utilization rate and maintenance cost analysis.

[0025] Preferably, the cost analysis engine is used to calculate the current value V and total cost of ownership (TCO) of the enterprise dormitory assets;

[0026] V(t) = V0 × (1-r)^t;

[0027] TCO=C_purchase+Σ(C_maintenance)+C_disposal;

[0028] Where V0 is the initial value, r is the depreciation rate, t is the useful life, C_purchase is the purchase cost, C_maintenance is the total maintenance cost, and C_disposal is the disposal cost.

[0029] Preferably, the enterprise dormitory asset supervision platform, driven by the asset full life cycle management model, sequentially performs data collection, location perception, status supervision and life cycle analysis on enterprise dormitory assets through the asset registration and binding module, real-time positioning and inventory module, status monitoring and early warning module and full life cycle tracking and analysis module. The asset full life cycle management model has a built-in enterprise dormitory asset perception algorithm.

[0030] S(t)=f(RFID_data,T,E,M);

[0031] Where S(t) represents the overall state of the asset at time t, RFID_data represents the unique identification and location information collected by RFID tags, T represents the time dimension used to track the asset's usage duration and stage evolution, E represents the environmental impact factors of temperature, humidity, and vibration, and M represents the maintenance operation record.

[0032] Compared with the prior art, the beneficial effects of the present invention are:

[0033] 1. This invention enables batch reading of asset information in a short time by attaching RFID electronic tags to dormitory assets, achieving rapid asset inventory and real-time monitoring. The automated data collection function of RFID technology reduces manual intervention, lowers the probability of human error, and ensures the accuracy and consistency of asset management data, providing a reliable basis for enterprise financial management and decision-making. It can also update information such as the location, status, and user department of assets in real time, realizing dynamic tracking and full life cycle management of assets.

[0034] 2. This invention, through the analysis of asset usage data, can identify idle or inefficient assets, providing a basis for the rational allocation of assets, improving asset utilization, avoiding unnecessary asset purchases, and setting rules such as asset maintenance cycles and scrapping years. When equipment is nearing its maintenance date, tags are abnormally offline, or assets are overdue for return, it reminds managers to handle the situation promptly, effectively reducing the rate of sudden equipment failures, extending asset lifespan, reducing maintenance costs, and monitoring asset movement trajectories in real time. Once abnormal displacement or unauthorized departure is detected, an alarm is immediately triggered to prevent asset loss or theft, providing strong protection for enterprise asset security. Attached Figure Description

[0035] Figure 1 This is a schematic diagram of the overall structure of the present invention;

[0036] Figure 2 This is a flowchart illustrating the overall operation of the present invention. Detailed Implementation

[0037] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0038] Please see Figure 1 The present invention provides an embodiment of an RFID identification and lifecycle management system for corporate dormitory assets, including a corporate dormitory asset supervision platform. The corporate dormitory asset supervision platform has a built-in asset lifecycle management model. The corporate dormitory asset supervision platform includes an asset registration and binding module, a real-time positioning and inventory module, a status monitoring and early warning module, and a lifecycle tracking and analysis module. Driven by the asset lifecycle management model, the corporate dormitory asset supervision platform sequentially performs data collection, location perception, status monitoring, and lifecycle analysis on corporate dormitory assets through the asset registration and binding module, real-time positioning and inventory module, status monitoring and early warning module, and lifecycle tracking and analysis module.

[0039] The asset lifecycle management model has a built-in corporate dormitory asset perception algorithm;

[0040] S(t)=f(RFID_data,T,E,M);

[0041] Where S(t) represents the overall state of the asset at time t, RFID_data represents the unique identification and location information collected by RFID tags, T represents the time dimension used to track the asset's usage duration and stage evolution, E represents the environmental impact factors of temperature, humidity, and vibration, and M represents the maintenance operation record.

[0042] Furthermore, the asset registration and binding module consists of an RFID tag writing unit, an asset information database, and a storage interface. This module is used to establish initial files for company dormitory assets and associate physical assets with RFID codes, ensuring that each asset has a unique identifier. The RFID tag writing unit is used for inputting basic information about the company dormitory assets, including but not limited to model, purchase date, supplier, and purchase price. The storage interface is used to write and store the RFID tag codes. The asset information database is used to automatically encode and classify the RFID tags written through the storage interface. The encoding rules for the RFID tags of company dormitory assets in the asset information database are as follows:

[0043] C = CT + CN;

[0044] Where C is the complete asset code, CT is the asset type code, and CN is the serial number.

[0045] The real-time positioning and inventory module consists of an RFID reader network, a signal processing unit, and an inventory task scheduler. The module continuously scans the surrounding area for the location information of target objects carrying valid tags using a fixed reader array deployed in the environment. The RFID reader network consists of multiple readers forming an array. This array continuously scans the company dormitory assets and obtains their real-time location information. The inventory task scheduler automatically triggers periodic inventory tasks for the company dormitory assets and ensures that the assets are consistent with the records. The signal processing unit processes the signal data collected by the reader array and calculates the precise location of the assets using a triangulation formula.

[0046] (x, y) = f(R1, R2, R3);

[0047] d = 10^((P0 - RSSI) / (10 * n));

[0048] Where R1, R2, and R3 are the signal strengths received by any three adjacent readers in the reader array, d is the distance between the reader and the company dormitory assets, P0 is the reference signal strength at 1m, RSSI is the received signal strength indicator, and n is the path loss index.

[0049] Furthermore, the status monitoring and early warning module consists of a status assessment engine, an early warning rule base, and a maintenance plan generator. The status monitoring and early warning module is used to read historical trajectory data of the company's dormitory assets and analyze and mine potential risk factors to intervene in advance and avoid losses. The status assessment engine is used to continuously monitor the operating status of the company's dormitory assets and analyze key indicators, including but not limited to usage frequency and environmental parameters. The maintenance plan generator is used to automatically generate maintenance plans, fault alarms, and repair work orders based on asset usage and fault prediction models. The early warning rule base is used to preset various early warning conditions and thresholds and automatically trigger early warnings when the asset status is abnormal. The fault probability threshold of the early warning rule base for the company's dormitory assets is P, and the maintenance cost of the company's dormitory assets is C.

[0050] P(failure) = 1 - e^(-λt);

[0051] C_total=C_maintenance+C_failure;

[0052] Where λ is the failure rate parameter, t is the usage time, C_maintenance is the maintenance cost, and C_failure is the failure loss cost.

[0053] The full lifecycle tracking and analysis module consists of a phase manager, a cost analysis engine, and a report generator. The full lifecycle tracking and analysis module is used to provide intuitive operational efficiency assessment reports and help managers make scientific resource allocation decisions. The phase manager is used to track the entire process of corporate dormitory assets from procurement to disposal and automatically update the stage of the assets. The report generator is used to generate various statistical reports through the phase manager and the cost analysis engine. The statistical reports include, but are not limited to, asset utilization and maintenance cost analysis. The cost analysis engine is used to calculate the current value V and total cost of ownership TCO of corporate dormitory assets.

[0054] V(t) = V0 × (1-r)^t;

[0055] TCO=C_purchase+Σ(C_maintenance)+C_disposal;

[0056] Where V0 is the initial value, r is the depreciation rate, t is the useful life, C_purchase is the purchase cost, C_maintenance is the total maintenance cost, and C_disposal is the disposal cost.

[0057] Please see Figure 2 In summary, the corporate dormitory asset RFID identification and lifecycle management system, based on the RFID tag writing unit of the asset registration and binding module and the asset information database, firstly digitizes newly purchased corporate dormitory assets, and then associates and maps the unique RFID code with the basic asset information through the RFID card reading interface, stores it in the asset information database, and automatically classifies it.

[0058] Relying on the RFID reader network and signal processing unit in the real-time positioning and inventory module, the system enters the all-weather asset location monitoring stage. The signal processing unit accurately calculates the spatial coordinates of the assets and displays their distribution on the map. The task scheduler triggers a global inventory plan regularly to achieve precise control that matches the physical assets with the records.

[0059] Then, the status monitoring and early warning module continuously analyzes asset operation data through the status assessment engine. The early warning rule base predicts potential failure risks based on the failure probability threshold of the enterprise dormitory assets and formulates the optimal maintenance strategy based on maintenance costs. Once abnormal temperature and humidity, excessive vibration, and other environmental factors are detected to exceed the threshold range, the early warning rule base is immediately activated and relevant personnel are notified to intervene and handle the situation in a timely manner through the work order dispatch and docking mechanism.

[0060] The full lifecycle tracking and analysis module records all key events of the asset from the moment it is put into use, calculates the asset value and total cost of ownership, and then quantifies the trend of asset value change over time. The cycle stage manager automatically updates the stage of the asset, while the cost analysis engine and report generator generate detailed input-output ratio reports for management to make decisions.

[0061] The data from the full lifecycle tracking and analysis module drives the operation of the asset registration and binding module, the real-time positioning and inventory module, the status monitoring and early warning module, and the full lifecycle tracking and analysis module, thereby meeting the requirements for RFID identification and lifecycle management of corporate dormitory assets.

[0062] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. An RFID identification and lifecycle management system for corporate dormitory assets, including a corporate dormitory asset supervision platform, wherein the corporate dormitory asset supervision platform has a built-in asset lifecycle management model, characterized in that: The enterprise dormitory asset supervision platform includes an asset registration and binding module, a real-time location and inventory module, a status monitoring and early warning module, and a full life cycle tracking and analysis module. The asset registration and binding module is used to establish initial files for corporate dormitory assets and associate physical objects with RFID codes, and to ensure that corporate dormitory assets have a unique identifier. The real-time positioning and inventory module is used to continuously scan the location information of target objects carrying valid tags in the surrounding area through a fixed reader array deployed in the environment. The status monitoring and early warning module is used to read the historical trajectory data of the company's dormitory assets and analyze and mine potential risk factors to intervene in advance and avoid losses. The full lifecycle tracking and analysis module provides intuitive operational efficiency assessment reports and helps managers make scientific resource allocation decisions.

2. The enterprise dormitory asset RFID identification and lifecycle management system according to claim 1, characterized in that: The asset registration and binding module consists of an RFID tag writing unit, an asset information database, and a storage interface. The RFID tag writing unit is used for inputting basic information about the company dormitory assets, including but not limited to model, purchase date, supplier, and purchase price. The storage interface is used for writing and storing the RFID tag codes.

3. The enterprise dormitory asset RFID identification and lifecycle management system according to claim 2, characterized in that: The asset information database is used to automatically encode and classify the RFID tags written to the storage interface. The encoding rules for the RFID tags of the company dormitory assets in the asset information database are as follows: C = CT + CN; Where C is the complete asset code, CT is the asset type code, and CN is the serial number.

4. The enterprise dormitory asset RFID identification and lifecycle management system according to claim 3, characterized in that: The real-time positioning and inventory module consists of an RFID reader network, a signal processing unit, and an inventory task scheduler. The RFID reader network consists of multiple readers forming an array. The RFID reader network is used to continuously scan the company dormitory assets and obtain the real-time location information of the assets through the reader array. The inventory task scheduler is used to automatically trigger periodic inventory tasks for the company dormitory assets and ensure that the assets are consistent with the records.

5. The enterprise dormitory asset RFID identification and lifecycle management system according to claim 4, characterized in that: The signal processing unit is used to process the signal data collected by the reader array and calculate the precise location of the asset using the triangulation formula. (x, y) = f(R1, R2, R3); d = 10^((P0 - RSSI) / (10 * n)); Where R1, R2, and R3 are the signal strengths received by any three adjacent readers in the reader array, d is the distance between the reader and the company dormitory assets, P0 is the reference signal strength at 1m, RSSI is the received signal strength indicator, and n is the path loss index.

6. The enterprise dormitory asset RFID identification and lifecycle management system according to claim 5, characterized in that: The status monitoring and early warning module consists of a status assessment engine, an early warning rule base, and a maintenance plan generator. The status assessment engine is used to continuously monitor the operating status of the company dormitory assets and analyze key indicators, including but not limited to usage frequency and environmental parameters. The maintenance plan generator is used to automatically generate maintenance plans, fault alarms, and repair work orders based on asset usage and fault prediction models.

7. The enterprise dormitory asset RFID identification and lifecycle management system according to claim 6, characterized in that: The early warning rule base is used to preset various early warning conditions and thresholds, and automatically triggers an early warning when the asset status is abnormal. The failure probability threshold of the early warning rule base for the enterprise dormitory assets is P, and the maintenance cost of the enterprise dormitory assets is C. P(failure) = 1 - e^(-λt); C_total=C_maintenance+C_failure; Where λ is the failure rate parameter, t is the usage time, C_maintenance is the maintenance cost, and C_failure is the failure loss cost.

8. The enterprise dormitory asset RFID identification and lifecycle management system according to claim 7, characterized in that: The full lifecycle tracking and analysis module consists of a stage manager, a cost analysis engine, and a report generator. The stage manager is used to track the entire process of corporate dormitory assets from procurement to disposal and automatically update the stage of the assets. The report generator is used to generate various statistical reports through the stage manager and the cost analysis engine. The statistical reports include, but are not limited to, asset utilization rate and maintenance cost analysis.

9. The enterprise dormitory asset RFID identification and lifecycle management system according to claim 8, characterized in that: The cost analysis engine is used to calculate the current value V and total cost of ownership TCO of the company's dormitory assets; V(t) = V0 × (1-r)^t; TCO=C_purchase+Σ(C_maintenance)+C_disposal; Where V0 is the initial value, r is the depreciation rate, t is the useful life, C_purchase is the purchase cost, C_maintenance is the total maintenance cost, and C_disposal is the disposal cost.

10. The enterprise dormitory asset RFID identification and lifecycle management system according to claim 9, characterized in that: Driven by the asset lifecycle management model, the enterprise dormitory asset supervision platform sequentially performs data collection, location awareness, status supervision, and lifecycle analysis on enterprise dormitory assets through the asset registration and binding module, real-time positioning and inventory module, status monitoring and early warning module, and full lifecycle tracking and analysis module. The asset lifecycle management model has a built-in enterprise dormitory asset awareness algorithm. S(t)=f(RFID_data,T,E,M); Where S(t) represents the overall state of the asset at time t, RFID_data represents the unique identification and location information collected by RFID tags, T represents the time dimension used to track the asset's usage duration and stage evolution, E represents the environmental impact factors of temperature, humidity, and vibration, and M represents the maintenance operation record.

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