Laboratory asset management system based on RFID technology

Abstract

The invention discloses a laboratory asset management system based on an RFID technology. The laboratory asset management system comprises an asset management platform server, a reader-writer, laboratory assets and RFID tags arranged on the laboratory assets. The reader-writer is used for monitoring the state change of the laboratory assets and checking the laboratory assets by scanning the RFID tags; the asset management platform server is used for detecting a newly added experiment task; determining at least one operation step for executing the newly added experiment task and a laboratory asset list required by each operation step; determining the operation duration of each operation step; and according to the operation sequence of the at least one operation step and the operation duration of each operation step, determining the taking-out time of each laboratory asset in the laboratory asset list required by each operation step, so that a user can take out the laboratory assets according to the taking-out time to carry out experiment operation. According to the invention, the asset management efficiency can be improved, and data-driven intelligent management is realized.

Description

Technical Field

[0001] This application relates to the field of laboratory management technology, and in particular to a management system for laboratory assets based on RFID technology. Background Technology

[0002] Currently, biomedical laboratories require a wide variety of instruments, equipment, and material containers. Data management of assets throughout the entire process from preparation and establishment to subsequent use is a development trend in digital laboratories. While basic informatization has been achieved in practical applications, there is a lack of deep perception and intelligent intervention regarding the dynamic status of assets, resulting in insufficient real-time, automated, and data-driven capabilities in laboratory asset management. Summary of the Invention

[0003] This application provides a laboratory asset management system based on RFID technology to improve asset management efficiency, achieve data-driven intelligent management, and thereby improve experimental efficiency and reduce resource waste.

[0004] In a first aspect, embodiments of this application provide a management system for laboratory assets based on RFID technology, including an asset management platform server, a reader / writer, laboratory assets, and RFID tags affixed to the laboratory assets;

[0005] The reader / writer is used to monitor changes in the status of the laboratory assets and to take inventory of the laboratory assets by scanning the RFID tags.

[0006] The asset management platform server is configured to detect new experimental tasks; determine at least one operation step for executing the new experimental task and a list of laboratory assets required for each of the at least one operation step; determine the operation duration of each operation step; and determine the retrieval time of each laboratory asset in the list of laboratory assets required for each operation step based on the operation sequence of the at least one operation step and the operation duration of each operation step, so that the user can retrieve the laboratory assets for experimental operation according to the retrieval time.

[0007] The asset management platform server is further configured to determine the timeliness constraint information of each laboratory asset; and to adjust the retrieval time of each laboratory asset based on the timeliness constraint information.

[0008] The asset management platform server is also used to acquire environmental data of the newly added experimental task; and to adjust the timeliness constraint information based on the environmental data.

[0009] The asset management platform server is further configured to obtain real-time inventory information based on the reader / writer; and,

[0010] Based on the real-time inventory information, match the available time period for each laboratory asset; and,

[0011] Determine the user's first experimental level; and,

[0012] The operation duration for each operation step is determined based on the list of laboratory assets required for each operation step, the first experimental level, and the available time period for each laboratory asset.

[0013] The asset management platform server is also used to determine the execution time constraints of the newly added experimental task; and,

[0014] Based on the real-time inventory information, determine the list of tasks that occupy the laboratory assets within the execution time constraint; and...

[0015] Determine the task attributes for each task in the task list and the newly added experimental task, including task urgency, execution time constraints, and the user's management permissions; and...

[0016] Adjust the task list according to the task attributes; and further, determine the available time period of the laboratory asset based on the adjusted task list.

[0017] The asset management platform server is further configured to obtain the user's asset access permissions; and,

[0018] The number of times the user performs operations on the newly added experimental task is obtained; and,

[0019] Determine the second experimental level of the newly added experimental task; and,

[0020] The user's first experimental level is determined based on the asset access permissions, the number of operations, and the second experimental level.

[0021] The asset management platform server is also used to perform time-based monitoring and time-based early warning of the laboratory assets based on the reader's detection of the removal action of the laboratory assets.

[0022] The asset management platform server is further configured to receive the inventory results obtained from the reader / writer inventory count; and,

[0023] Analyze the reasons for the non-compliant label information in the inventory results; and,

[0024] Based on the stated reasons, the RFID tags within the preset area are managed and controlled.

[0025] The asset management platform server is further configured to determine the depreciation parameters of the laboratory assets based on their tag information; and,

[0026] The target depreciation method is determined based on the aforementioned depreciation parameters; and...

[0027] Depreciation is calculated on the laboratory assets according to the target depreciation method, and a depreciation report is generated and printed.

[0028] The asset management platform server is also used to respond to requests for differentiated attributes of the laboratory assets and to extend the recording of the attributes of the laboratory assets.

[0029] In a second aspect, embodiments of this application provide an electronic device, including a memory, a processor, and executable program code stored in the memory and executable on the processor, wherein the processor executes the executable program code to perform the functions of the system described in the first aspect.

[0030] Thirdly, embodiments of this application provide a computer-readable storage medium storing executable program code, the executable program code including execution instructions for performing the functions of the system as described in the first aspect.

[0031] Fourthly, embodiments of this application provide a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, the computer program being operable to cause a computer to perform some or all of the functions described in the first aspect of embodiments of this application. The computer program product may be a software installation package.

[0032] As can be seen, in this embodiment of the application, the laboratory asset management system based on RFID technology includes an asset management platform server, a reader / writer, laboratory assets, and RFID tags affixed to the laboratory assets; the reader / writer is used to monitor the status changes of the laboratory assets and inventory the laboratory assets by scanning the RFID tags; the asset management platform server is used to detect new experimental tasks; and to determine at least one operation step for executing the new experimental task and a list of laboratory assets required for each of the at least one operation step; and to determine the operation duration of each operation step; and, based on the operation sequence of the at least one operation step and the operation duration of each operation step, to determine the retrieval time of each laboratory asset in the list of laboratory assets required for each operation step, so that the user can retrieve the laboratory assets for experimental operation according to the retrieval time.

[0033] This application breaks down experimental tasks into executable operational steps and associates asset requirements with each operational step. By assigning clear time boundaries to each operational step, the retrieval time of assets is controlled, thereby improving asset management efficiency and realizing data-driven intelligent management. This, in turn, helps to improve experimental efficiency and reduce resource waste. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0035] Figure 1 This is a system architecture diagram of a laboratory asset management system based on RFID technology provided in an embodiment of this application;

[0036] Figure 2 This is a schematic diagram of an experimental procedure provided in an embodiment of this application;

[0037] Figure 3 This is a schematic diagram of a laboratory asset management interface provided in an embodiment of this application;

[0038] Figure 4 This is a schematic diagram of the interface for a Level 1 early warning provided in an embodiment of this application;

[0039] Figure 5 This is a schematic diagram of the interface for a level-two early warning system provided in an embodiment of this application;

[0040] Figure 6 This is a schematic diagram of the interface for the three-level early warning system provided in this application embodiment;

[0041] Figure 7 This is a system architecture diagram of another laboratory asset management system based on RFID technology provided in this application embodiment;

[0042] Figure 8 This is a schematic diagram of an asset visualization interface provided in an embodiment of this application;

[0043] Figure 9 This is a schematic diagram of the structure of an electronic device proposed in an embodiment of this application. Detailed Implementation

[0044] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0045] The terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.

[0046] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0047] Currently, biomedical laboratories require a wide variety of instruments, equipment, and material containers. Managing the location information data of assets throughout the entire process from preparation and creation to subsequent use is a development trend of digital laboratories. In actual application scenarios, currently only the asset status data in the scenario after the laboratory is put into use can be recorded and managed, which cannot yet meet the full-stack data management needs of users.

[0048] Laboratory equipment location information management is an important part of laboratory asset management. Many laboratories encounter problems in fixed asset management, such as untimely information reporting, time-consuming and labor-intensive processes, information asymmetry, and chaotic inventory.

[0049] In biomedical laboratories, improper management of laboratory assets (such as reagents, consumables, equipment, samples, etc.) from the time of their removal to their return / consumption can lead to waste and loss of reagents / consumables, resulting in resource waste, soaring costs, experimental quality risks, and unreliable results.

[0050] To address the aforementioned issues, this application provides a laboratory asset management system based on RFID technology. The embodiments of this application will be described in detail below with reference to the accompanying drawings.

[0051] Please see Figure 1 , Figure 1 This is a system architecture diagram of a laboratory asset management system based on RFID technology provided in an embodiment of this application. Figure 1 As shown, the RFID-based laboratory asset management system 100 includes an asset management platform server 101, a first reader / writer 102, laboratory assets 103, and RFID tags 104. The asset management platform server 101, the first reader / writer 102, and the laboratory assets 103 are connected in pairs for communication. The asset management platform server 101 receives and processes information sent by the first reader / writer 102, visualizes the processed information through the asset management platform, and synchronously stores it in the asset database.

[0052] The asset database, deployed on the asset management platform server 101, stores the entire lifecycle data of laboratory assets. The asset database includes a historical database and a real-time database. The historical database stores the entire lifecycle data of damaged or obsolete laboratory assets, while the real-time database stores the entire lifecycle data of the laboratory assets within the laboratory.

[0053] As can be seen, in this embodiment of the application, tiered storage is beneficial for improving response speed and avoiding business blockage.

[0054] The first reader 102 transmits radio frequency signals via an antenna to activate the radio frequency identification (RFID) tag and establish a communication link with it, enabling the reading, writing, or modification of tag data. The antenna can be built into the reader or external; external antennas are connected to the reader via a cable.

[0055] Among them, RFID tags can be ultra-high frequency radio frequency identification tags, which use radio frequency signals to achieve non-contact automatic identification and data exchange. Their working frequency is usually in the range of 860-960MHz, and they have the characteristics of long-distance identification, high reading speed, and simultaneous identification of multiple tags.

[0056] The RFID tags include identification information, description information, and read / write permission information for laboratory assets. The identification information may include an asset number assigned by the laboratory, such as BM-LAB-001-A, an electronic product code, and an RFID tag ID used for underlying communication verification.

[0057] The description information may include basic attribute information such as asset name, specifications, manufacturer, and place of origin, as well as status and usage information such as purchase date, activation date, current location, user / responsible person, and borrowing status. It may also include special attribute information such as biosafety attributes and consumable characteristics.

[0058] The read / write permission information specifies the read and write permissions for the data within the tag to ensure data security and integrity. For example, some information is set to read-only to prevent accidental data tampering; while for tags that need to update data in real time, corresponding write permissions are set, allowing specific readers to modify the data within the tag under certain conditions.

[0059] Example label information could be: Asset number of the 96-well cell culture plate: LAB-CM-005-2025; Electronic Product Code: 3012345678912345; RFID Tag ID: 0x02A3B4C5D6; Asset name: 96-well transparent polystyrene culture plate, with cap; Specifications: TC treated, sterilized packaging; Manufacturer: C; Place of origin: M; Purchase date: 2025-04-01; Activation date: 202 5-04-05; Current location is Consumables Cabinet, Section B, No. 12; User: None, not yet issued; Borrowing status: Unused; Used well count: 0, to be updated after issuance; Biosafety attribute: None, ordinary consumable; Consumable characteristic: Must be used within 72 hours after opening; Batch number: 250401A; Read-only fields include Asset Number, Electronic Product Code, Tag ID, Specifications, Manufacturer, Sterilization Status, and Batch Number; Writable fields include Current Location, User, and Used Well Count.

[0060] As can be seen, in this embodiment of the application, RFID tag information is closely integrated with asset characteristics and management needs, and through hierarchical access control and dynamic data linkage, it achieves a leap from asset identification to full life cycle management.

[0061] In one possible embodiment, the laboratory assets are biomedical assets, including fixed assets such as laboratory instruments and mobile assets. Different types of assets can be configured with different RFID tags, each with different characteristics. Specifically, tags for fixed assets such as laboratory instruments are characterized by high temperature resistance and corrosion resistance, while tags for mobile assets are characterized by waterproofing and impact resistance, supporting high-frequency read / write operations, such as sample plate tags.

[0062] In one possible embodiment, laboratory assets can be divided into areas for zoned or categorized management.

[0063] The zoning management can be based on physical space or function. Specifically, it can be based on biosafety level, including basic laboratories, biosafety laboratories, and high-level protection laboratories; or it can be based on storage conditions, divided into refrigerated areas, frozen areas, and room temperature areas; or it can be based on experimental procedures, including preparation areas, operation areas, and analysis areas. For example, the preparation area may include pretreatment tools such as pipettes, balances, and centrifuge tubes, located near the sample receiving area for easy pre-experiment preparation; the operation area may include core equipment such as flow cytometers and biosafety cabinets, grouped according to experiment type, with temporary storage shelves next to the equipment; the analysis area includes microscopes, microplate readers, and computer analysis workstations, with assets permanently placed and data storage devices requiring encrypted management.

[0064] The classification management can be based on asset attributes or uses. Specifically, it can be categorized by asset type, including reagents, consumables, equipment, and samples. For reagents, expiration dates are monitored. For consumables, bulk purchasing and inventory alerts are implemented, safety stock levels are set, and expiration dates for single-use consumables are managed after opening. For equipment, full lifecycle management is implemented, including electronic maintenance records from procurement and acceptance to disposal, and calibration cycle reminders (e.g., centrifuges are calibrated annually with a 30-day advance warning). For samples, biobank management is implemented, with unique identifiers linked to patient information, and each retrieval must record the purpose and the person handling it.

[0065] Specifically, assets can be categorized by usage frequency, including high-frequency and low-frequency assets. High-frequency assets should be stored in easily accessible locations within the operating area and stocked with spare inventory to prevent delays in replenishment from impacting experimental progress. Low-frequency assets should be stored centrally in dedicated cabinets, with advance reservations required for use; regular inventory checks should also be conducted to prevent long-term idleness leading to failure.

[0066] Specifically, hybrid management can also be set up to achieve linkage between zoning and classification.

[0067] In one possible embodiment, the first reader 102 can be a handheld reader that supports the UHF band and has a built-in communication module that communicates with the asset management platform server 101. The handheld reader scans RFID tags to inventory mobile and fixed assets, as well as monitor the spatial location, operating status, quantity attributes, usage trajectory, and other dynamic changes in the status of laboratory assets.

[0068] In one possible embodiment, the first reader 102 can be a fixed reader, which is installed synchronously with the RFID antenna. The fixed reader scans RFID tags to inventory mobile and fixed assets, as well as monitor the spatial location, operating status, quantity attributes, usage trajectory and other dynamic changes of laboratory assets.

[0069] Among them, the RFID antenna can be a circularly polarized antenna, which can capture linearly polarized and co-rotating circularly polarized electromagnetic waves in any direction and support multi-angle identification.

[0070] In this process, after a user creates and submits an experimental task in the asset management platform, the asset management platform server 101 detects and receives the task request, pre-plans the experimental task, and improves asset management efficiency by splitting the experimental process, allocating experimental resources, and controlling the resource retrieval time.

[0071] Specifically, based on historical experiments of the same type, preset experiment type templates are established, and mapping relationships between experiment types, operation steps, asset portfolios and environmental data are established. Then, an experimental task template library is constructed, such as protein purification, cell culture, etc. Each template is associated with operation procedures, bill of materials and environmental data.

[0072] The newly added experimental tasks include a description of the task, such as the experimental project name, experimental purpose, person in charge, start time, and estimated duration. Based on this description, the experimental operation steps and the laboratory asset list for each operation step are determined according to the experimental task template library.

[0073] Furthermore, it is possible to analyze asset usage patterns from past experimental tasks to predict assets that may be missed in the current task.

[0074] Furthermore, task parameters can be dynamically adapted, supporting adjustments to material requirements based on parameters such as sample size and experimental precision. If the sample size increases from 20 to 100 cases, the server automatically calculates the reagent usage multiplier and updates the consumable quantity accordingly.

[0075] In one possible embodiment, the server is further configured to determine the operation duration of each operation step, the specific steps of which include: obtaining real-time inventory information based on the reader; matching the available time period of each laboratory asset based on the real-time inventory information; determining the user's first experiment level; and determining the operation duration of each operation step based on the list of laboratory assets required for each operation step, the first experiment level, and the available time period of each laboratory asset.

[0076] Specifically, when the reader detects a change in the status of an asset tag, such as the tag entering or leaving a specific area or being read by a specific device, it proactively sends an update request. Alternatively, when querying data in the asset database, the reader can be triggered to scan simultaneously during the query, obtain the latest data, and then return the query results.

[0077] The server automatically searches the asset database based on the laboratory asset list corresponding to each operation step, performs inventory matching, such as checking whether the inventory of reagents or consumables meets the task requirements. If the inventory of a reagent is lower than the safety threshold, it needs to be automatically replaced with a substitute reagent or the procedure needs to be adjusted. It also queries the equipment reservation list to determine whether it is available within the task time period, such as if there are no other experimental reservations. It also confirms the storage location, algebra, and retrieval record of the sample. Furthermore, it performs permission matching and queries the experimental experience of the person in charge of the experiment. Finally, it outputs the results and determines the time window corresponding to each operation step.

[0078] In one possible embodiment, the server is further configured to match the available time period of each laboratory asset based on the real-time inventory information. Specific steps include: determining the execution time constraint of the newly added experimental task; determining a list of tasks occupying the laboratory asset within the execution time constraint based on the real-time inventory information; determining the task attributes of each task in the task list and the newly added experimental task, the task attributes including task urgency, the execution time constraint, and the user's management permissions; adjusting the task list based on the task attributes; and determining the available time period of the laboratory asset based on the adjusted task list.

[0079] Among them, the execution time constraint refers to the total time span limit of the experimental task from start to finish, that is, the task time period.

[0080] This involves retrieving the reservation list of each laboratory asset required within the task timeframe from the asset database. Based on this reservation list, the usage timeframe for each laboratory asset is initially determined. Then, it is determined whether the usage timeframe of each laboratory asset conflicts with the execution order of the operational steps, and whether it conflicts with the task timeframe in general.

[0081] If there are no conflicts, the initially determined usage period will be used as the available time period for the asset and updated to the reservation list. If there is a conflict with the execution order, the dependencies and concurrency relationships between the operation steps will be obtained to determine whether the operation steps can be adjusted. If they can be adjusted, the execution order of the adjusted operation steps will be re-determined to see if it conflicts with the initial usage period.

[0082] If adjustments are not possible, or if conflicts still exist after adjustments, or if the initial available time period conflicts with the task time period, then the task list corresponding to the reservation list within the task time period is queried in the asset database; the task attributes of each experimental task are determined, the priority of each task is determined based on the task attributes, the order of the task list is adjusted based on the priority, and the initial available time period is adjusted so that the adjusted available time meets the execution order of the operation steps and the task time period.

[0083] In one possible implementation, if conflicts still exist after adjustments, the server can use an asset management platform to build a communication bridge between responsible parties to discuss whether priority can be given to the occupied laboratory assets.

[0084] Specifically, task priorities can be determined based on their urgency. For example, clinical sample testing has a higher priority than new drug application trials, and new drug application trials have a higher priority than basic research.

[0085] Specifically, the deadline for a task is determined based on the execution time constraint, and tasks that are close to their deadline are automatically upgraded in urgency.

[0086] Specifically, the priority of operations is adjusted based on user roles, i.e., according to management permissions, such as researchers, lab supervisors, and administrators. For example, administrators can manually adjust the task order, such as skipping high-priority tasks or forcibly releasing assets that are being inefficiently occupied, such as a task occupying equipment but not actually being used for more than 30 minutes.

[0087] Specifically, task priority can be determined by combining the urgency of the task, execution time constraints, and user management permissions.

[0088] In one possible embodiment, the interruptibility of an asset can be determined by combining the device status and the nature of the task, and then the interruptible asset can be scheduled.

[0089] As can be seen, in this embodiment of the application, the priority of experimental tasks is dynamically adjusted, thereby adjusting the available time of experimental assets to facilitate the smooth progress of the experiment.

[0090] In one possible embodiment, the server is further configured to determine the user's first experiment level, specifically by: obtaining the user's asset access permissions; obtaining the number of times the user has operated the new experiment task; determining the second experiment level of the new experiment task; and determining the user's first experiment level based on the asset access permissions, the number of operations, and the second experiment level.

[0091] Asset access permissions refer to a user's permission level to operate laboratory assets, typically linked to the asset's sensitivity or operational risk, such as high-risk reagents, precision equipment, and biological samples. Operation count refers to the cumulative number of times a user operates on the same type of experimental task or asset within a certain period, reflecting their experience and proficiency; for example, the cumulative number of times a user operates on the same type of experimental task or asset within 30 days. The asset database records the time, type, and results of each user's asset use, and the operation count can be queried in the asset database. A second experimental level is determined by the risk level or technical complexity of the newly added experimental task itself.

[0092] Specifically, the initial evaluation value can be directly correlated with the user's asset access permission level. Then, the basic level is adjusted based on the number of operations. If the user has performed the same type of task 10 or more times in the past 30 days with a success rate higher than 90%, the level increases by one; if the number of operations is less than 3, or the failure rate is higher than 50%, the level decreases or remains unchanged. Finally, the first experimental level is determined by combining the second experimental level and the adjusted basic level.

[0093] As can be seen, in this embodiment, the determination of the user's first experimental level is a three-dimensional linkage process of permission management, experience assessment and task risk, which can achieve accurate matching of personnel qualifications and operation content, and reasonably allocate resources and improve operational efficiency while ensuring experimental safety and compliance.

[0094] This involves analyzing the average time taken for each step of a similar historical experiment through the server, determining a reasonable buffer time for the user based on the first experiment level, adding the average time taken and the reasonable buffer time together, and combining this with the available time slots of each laboratory asset to obtain the operation duration for each step, which corresponds to the time window for each step. For example, the time window for step 1 is 9:00-9:30, the time window for step 2 is 9:30-10:40, and the time window for step 3 is 10:40-12:10.

[0095] For example, this experiment is a plasmid DNA extraction experiment; please refer to [link / reference]. Figure 2 , Figure 2 This is a schematic diagram of an experimental procedure provided in an embodiment of this application, such as... Figure 2 As shown, the experimental procedure includes bacterial culture, cell collection, cell lysis, plasmid purification, and quality testing. Each experimental step is assigned a time limit: bacterial culture requires overnight incubation, with a time limit of 12-16 hours; cell collection includes transferring the bacterial culture, centrifugation, and discarding the supernatant, with a time limit of 20 minutes; cell lysis includes static incubation and ice bath, with a time limit of 8 minutes; plasmid purification includes centrifugation of the supernatant, isopropanol precipitation, centrifugation and discarding the supernatant, ethanol washing, and drying and dissolution, with a time limit of 1 hour and 2 minutes; and quality testing includes agarose gel electrophoresis and concentration determination, with a time limit of 37 minutes.

[0096] Furthermore, the retrieval time for each laboratory asset can be determined based on the execution sequence and duration of each operation step. Laboratory assets must be prepared before the start of each operation step, such as thawing reagents and preheating equipment. For example, if step 1 starts at 9:00 AM and requires a centrifuge, which needs 15 minutes of preheating, the centrifuge retrieval time is 8:45 AM. If step 2 depends on the results of step 1, such as using samples processed in step 1, the asset retrieval time for step 2 must be calculated after step 1 ends. If multiple assets in the same step need to be prepared in parallel, the earliest retrieval time is used. For example, if step 3 requires the simultaneous use of equipment A (which needs 30 minutes of preheating) and equipment B (which needs 15 minutes of preheating), and step 3 starts at 10:40 AM, equipment A retrieval time is 10:10 AM, and equipment B retrieval time is 10:25 AM; the earliest time, 10:10 AM, is used as the overall reminder time.

[0097] As can be seen, in this embodiment of the application, the experimental task is broken down into executable operation steps, and each operation step is associated with asset requirements. By assigning clear time boundaries to each operation step, the asset retrieval time is controlled, which improves asset management efficiency and realizes data-driven intelligent management, thereby helping to improve experimental efficiency and reduce resource waste.

[0098] In one possible embodiment, the asset management platform server is further configured to determine timeliness constraint information for each laboratory asset; and to adjust the retrieval time of each laboratory asset based on the timeliness constraint information.

[0099] The timeliness constraints include the effective usage time of the sample after retrieval and the sample's storage period. Laboratory assets have time-sensitive requirements; for example, refrigerated reagents that need to be used immediately, or reagents that need to be used within 40 minutes of being retrieved, or reagents that have two hours remaining in their shelf life. Therefore, the retrieval time must be adjusted accordingly based on the timeliness requirements of each laboratory asset.

[0100] Furthermore, the retrieval time can be adjusted according to the dependencies between the various laboratory assets in this step and the timeliness requirements of each laboratory asset.

[0101] In one possible embodiment, the asset management platform server is further configured to perform time-based monitoring and time-sharing early warning of the laboratory assets based on the reader's detection of the removal action of the laboratory assets.

[0102] When laboratory assets are removed from storage, the reader detects the tag leaving the storage area, triggering subsequent monitoring procedures. Based on the asset's time-sensitive requirements, such as the effective usage time of refrigerated reagents after removal or the sample's shelf life, a timer is started and continuously tracks the duration the asset remains in the removed state. The effective usage time of the asset is divided into multiple stages, triggering different levels of alerts at different time points to remind laboratory personnel to handle the asset promptly and avoid waste. For example, if frozen enzyme reagents are removed at 10:00, a 60-minute countdown is initiated.

[0103] For example, please refer to Figure 3 , Figure 3 This is a schematic diagram of a laboratory asset management interface provided in an embodiment of this application, such as... Figure 3 As shown, the laboratory asset management interface includes an asset list, remaining time after asset retrieval, and status. For example, the asset list includes Reagent 1 (remaining time: 34 minutes 26 seconds, status: unused); Reagent 2 (remaining time: 24 minutes 55 seconds, status: unused); Reagent 3 (remaining time: 55 minutes 37 seconds, status: unused); and Reagent 4 (remaining time: 21 minutes 23 seconds, status: unused). Clicking on Reagent 1 will take you to its details page, where you can see its basic information, storage information, expiration time, and usage records. Clicking on any remaining time will take you to the reagent's expiration time monitoring details page, where you can see the dynamic trend of the remaining time, the retrieval time, the originally set effective duration, and the effective duration adjusted due to environmental factors such as temperature and humidity. It also displays warning rules based on the remaining time and triggered warning records. Clicking on any status will take you to the reagent status traceability and operation record page. This section displays the complete record of the reagent's journey from storage to its current state, including information such as the person in charge, the time of operation, and the location of operation, facilitating process traceability and accountability.

[0104] Below the data are a data update control and a notification administrator control. The data update control is used to refresh the data and update the data status in real time. The notification administrator control is used to broadcast the asset list of the current step and the remaining time of the asset list.

[0105] In one possible embodiment, a Level 1 warning with advance reminders, a Level 2 warning with emergency reminders, and a Level 3 warning with timeout alerts can be set.

[0106] The Level 1 warning corresponds to a certain time before the asset expires, such as 20 minutes remaining. The server sends a Level 1 warning to the user through the asset management platform, such as through push notifications or computer pop-ups, with a message like "The XX reagent you retrieved has 20 minutes of remaining validity. Please use it as soon as possible!"

[0107] The Level 2 warning corresponds to the asset approaching its expiration time. For example, if there are 5 minutes left, the Level 2 warning will be triggered. In this case, the warning method may include not only information push but also laboratory broadcast reminders, such as "XX reagent is about to expire, please handle it immediately!"

[0108] The Level 3 alert corresponds to assets that have not been used or returned after their effective usage period. This triggers the Level 3 alert, marks the asset as invalid, and notifies the laboratory administrator for timely handling to avoid affecting subsequent experiments.

[0109] For example, please refer to Figures 4-6 , Figure 4 This is a schematic diagram of the interface for a first-level early warning provided in an embodiment of this application. Figure 5 This is a schematic diagram of the interface for a level-two early warning system provided in an embodiment of this application. Figure 6 This is a schematic diagram of the interface for a three-level early warning system provided in an embodiment of this application, as shown below. Figure 4 As shown, a first-level warning pop-up window appears in the laboratory asset management interface, prompting "The fourth reagent 4 you retrieved has 20 minutes of remaining validity time. Please use it as soon as possible!" The message "The fourth reagent 4 you retrieved has 20 minutes of remaining validity time. Please use it as soon as possible!" is displayed in bold to distinguish it from other information. The associated laboratory asset information is also displayed in bold. The asset name, remaining time, and status of the fourth reagent 4 displayed in the laboratory asset management interface are also displayed in bold to facilitate users to view the details accurately.

[0110] One feature is the ability to automatically close the primary alert window based on a preset time. For example, if there is no activity within 3 seconds, the window will automatically close, returning to the asset management interface and resuming timeliness monitoring. Alternatively, a read confirmation check can be set to close the primary alert window.

[0111] The location of the warning window does not overlap with the location of the associated laboratory asset information. The location and size of the warning window will be adjusted appropriately according to the location of the associated laboratory asset information.

[0112] Among them, such as Figure 5As shown, a level-two warning pop-up window appears in the laboratory asset management interface, prompting "Reagent 4 is about to expire, with 5 minutes remaining. Please handle it immediately!" The message "Reagent 4 is about to expire, with 5 minutes remaining. Please handle it immediately!" in the pop-up window is highlighted to distinguish it from other information, and the associated laboratory asset information is also highlighted. For example, the highlighted text can be bolded and can be adapted to be highlighted in yellow.

[0113] The Level 2 alert pop-up includes options to continue using the control, return the control, and extend the time limit. Clicking "Continue Using the Control" closes the Level 2 alert window and resumes time-limited monitoring. Clicking "Return the Control" changes the status of Reagent 4 to "Pending Return," requiring its return within 5 minutes. After return, its status is changed back to "Returned." If not returned within 5 minutes, a Level 3 alert is triggered, changing its status to "Return Failed," setting the remaining time to "Timeout," and proactively notifying the administrator via email or SMS. Clicking the "Extend the Time Limit" option redirects to the laboratory environment data modification page, allowing users to adjust the environmental data. After adjustment, clicking the "Data Update" control updates the remaining time for Reagent 4.

[0114] Among them, such as Figure 6 As shown, a three-level warning pop-up window appears in the laboratory asset management interface, prompting "Reagent 4 has expired!" The message "Reagent 4 has expired" in the pop-up window is highlighted to distinguish it from other information, and the associated laboratory asset information is also highlighted. For example, the highlighted text can be bolded and can be adapted to be highlighted in red.

[0115] The pop-up window for the Level 3 warning also includes a scrapping control. Clicking the scrapping control will take you to the corresponding operation page for asset scrapping application, inventory adjustment, etc., which facilitates the timely disposal of obsolete assets.

[0116] The system can automatically close the Level 3 alert window based on a preset time. For example, if there is no operation within 5 seconds, the window will automatically close, returning to the asset management interface to continue monitoring other laboratory assets. Alternatively, a read confirmation control can be set to close the Level 3 alert window.

[0117] As can be seen, in this embodiment of the application, the timely monitoring and time-sharing early warning of laboratory assets implemented by the reader can transform asset management from passive processing to proactive prevention, thereby realizing intelligent management of laboratory assets.

[0118] In one possible embodiment, the asset management platform server is further configured to acquire environmental data of the newly added experimental task; and to adjust the timeliness constraint information based on the environmental data.

[0119] Among them, temperature and humidity in environmental data directly affect the timeliness of laboratory assets. Therefore, it is necessary to dynamically adjust the constraints such as the asset retrieval time and effective usage time based on real-time temperature and humidity data.

[0120] This allows for the pre-setting of a mapping relationship between temperature, humidity, and timeliness. Each asset is pre-configured with a temperature and humidity timeliness parameter table, which may include the asset name, storage conditions, standard temperature and humidity range, standard effective usage time, temperature adjustment rules, and humidity adjustment rules. Temperature adjustment rules include high-temperature adjustment and low-temperature adjustment, while humidity adjustment rules include high-humidity adjustment and low-humidity adjustment.

[0121] For example, high temperature adjustment can be to reduce the effective time by 5 minutes for every 1°C increase; low temperature adjustment can be to extend the effective time by 3 minutes for every 1°C decrease, but not exceeding a preset multiple of the standard effective usage time; high humidity adjustment can be to reduce the effective time by 8 minutes for every 10% increase in humidity; and low humidity adjustment can be to reduce the effective time by 5 minutes for every 10% decrease in humidity.

[0122] The system collects real-time data from temperature and humidity sensors deployed in the laboratory. The server matches the current environmental data to the corresponding asset's temperature and humidity timeliness parameter table, thereby dynamically adjusting the timeliness constraints. For example, if the current temperature of a laboratory bench is 28℃, higher than the standard temperature of 25℃, and the humidity is 65%, higher than the standard humidity of 60%, the standard effective usage time of the reverse transcriptase reagent is 60 minutes. After adjusting for the influence of temperature, the effective usage time is reduced by 15 minutes, and after adjusting for the influence of humidity, the effective usage time of the reagent is shortened from 60 minutes to 41 minutes.

[0123] As can be seen, in this embodiment, the system accurately adapts to environmental changes, avoiding premature asset failure or waste due to temperature and humidity fluctuations; it also reduces experimental risks, ensures that reagents and samples are used within a controllable timeframe, and improves the reliability of experimental results; and it achieves automated management, reduces human judgment errors, and improves the standardization and efficiency of laboratory processes.

[0124] In one possible embodiment, when issuing graded warnings based on effective usage time, it can be determined whether the asset can be used in a timely manner according to the actual situation. If a level 3 warning may be triggered, the asset can be returned, or the environmental data of the experiment can be dynamically adjusted without affecting the experimental task, thereby extending the effective usage time of the asset.

[0125] In one possible embodiment, please refer to Figure 7 , Figure 7 This is a system architecture diagram of another laboratory asset management system based on RFID technology provided in this application embodiment. (See diagram for example.) Figure 7As shown, the RFID-based laboratory asset management system 100 includes an asset management platform server 101, a first reader / writer 102, laboratory assets 103, RFID tags 104, and a second reader / writer 105. The asset management platform server 101, the first reader / writer 102, the second reader / writer 105, and the laboratory assets 103 are connected in pairs for communication. The asset management platform server 101 receives and processes information sent by the first reader / writer 102 and the second reader / writer 105, visualizes the processed information through the asset management platform, and synchronously stores it in the asset database.

[0126] The first reader / writer 102 is a handheld reader / writer, and the second reader / writer 105 is a fixed reader / writer. The installation location of the fixed reader / writer is set according to different types of laboratory assets.

[0127] Specifically, for fixed assets such as laboratory equipment, a first RFID antenna and a fixed reader are installed in the passageway where the laboratory assets may move or the equipment may move; for movable assets, a second RFID antenna and a fixed reader are installed at the laboratory entrance and exit.

[0128] In one possible embodiment, the device movement channel can refer to the location of the asset movement device, and a first RFID antenna and a fixed reader can be installed within the movement trajectory range of the asset movement device, such as the location and activity space of a robotic arm.

[0129] The asset transfer device is installed inside the laboratory to transfer laboratory assets within the laboratory through automated operations. For example, the asset transfer device could be a material transfer robotic arm that transfers reagents, samples, etc., required for the experiment to another container; alternatively, it could be a liquid dispensing robotic arm used to precisely add liquid reagents during the experiment, achieving high-precision operation.

[0130] The first or second reader / writer is used to input relevant information about laboratory assets into RFID tags and record it in the asset database. Furthermore, through integrated operation or batch processing functions, all laboratory asset data can be input at once, achieving efficient initialization and maintenance of asset information, thereby improving asset management efficiency, reducing human error, and laying a data foundation for the full lifecycle management of laboratory assets.

[0131] The asset management platform server 101 is also used to trigger location update events via the reader / writer. Specifically, when an asset with a tag enters the reading range of the first reader / writer 102 or the second reader / writer 105, it emits radio waves to activate the tag. The tag sends the stored information back to the first reader / writer 102 or the second reader / writer 105. After receiving the tag information, the first reader / writer 102 or the second reader / writer 105 transmits it to the asset management platform server 101 through a communication link. The asset management platform server 101 processes the data, updates the asset's location and status information, and stores it in the asset database.

[0132] In one possible embodiment, each fixed laboratory asset may also be accompanied by a photograph of the laboratory asset for easy viewing of images of valuable items. Specifically, the first reader 102 includes a first image acquisition device, and the second reader 105 includes a second image acquisition device, acquiring images of the laboratory assets through the first image acquisition device and / or the second image acquisition device.

[0133] Specifically, when status information, location information, etc. change, the asset management platform server 101 issues an image acquisition command to the first image acquisition device and / or the second image acquisition device, receives the images acquired by the first image acquisition device and / or the second image acquisition device, updates the data according to the received images, and synchronously stores the data in the asset database so as to facilitate viewing the status trajectory of the assets.

[0134] In one possible embodiment, the asset management platform server 101 is also used to trigger attribute customization events via user clicks, for differentiated description of laboratory asset attributes. It supports differentiated attributes for different equipment types. In addition to common attributes of laboratory assets such as purchase date and original value, different equipment may also need to record its unique attributes. For example, furniture may have color, material, and country of origin, while medium and large equipment may have weight and size. Different types of laboratory assets can have different customized attributes.

[0135] Specifically, on the asset details page or in the asset list, when a user clicks on a custom attribute control for an asset, a pop-up window appears, displaying existing attributes and allowing the user to add or modify them. When the asset management platform server 101 receives a request to add or modify an attribute, it extracts the asset tag information, checks whether the user has permission to modify the asset's attributes, and updates the asset's attributes based on the user's modification operation if permission is granted.

[0136] In one possible embodiment, the asset management platform server 101 is also used for asset depreciation processing. It has a built-in depreciation calculation engine, including various depreciation algorithms such as the straight-line method and the double-declining balance method, applying different depreciation formulas to calculate depreciation expenses for different equipment. Specifically, it queries the asset usage attributes in the label information of laboratory assets, including type, purpose, usage frequency, and value depreciation patterns, and determines depreciation parameters based on the asset usage attributes, thereby determining the depreciation method.

[0137] For fixed assets such as laboratory instruments, including centrifuges, ultra-low temperature freezers, and flow cytometers, characterized by high value, high usage frequency, and rapid technological updates, some of which require high precision, accelerated depreciation methods can be used, such as the double-declining balance method or the sum-of-the-years'-digits method. These methods allow for higher depreciation rates in the early stages to offset the high usage intensity and technological depreciation risk in the early years. Alternatively, the units-of-production method can be used, depreciating based on actual usage duration.

[0138] For movable assets, such as pipettes, incubators, and small reagent storage cabinets, which are characterized by low value, frequent movement, some being consumables, or slow technological updates, the straight-line method can be used to amortize depreciation over the expected useful life, or the one-time amortization method can be used. For low-value consumables, such as pipette tips and culture dishes, the cost can be directly included in the purchase price without the need for periodic depreciation.

[0139] For assets operating under high load, the units-of-production method or accelerated depreciation method can be used to accrue depreciation based on actual operating time or production batches, avoiding overestimation of asset residual value. For assets used infrequently, such as emergency backup equipment and precision instruments for scientific research, accelerated depreciation method or straight-line depreciation method can be used to shorten the depreciation period to match the speed of technological iteration.

[0140] For high-tech assets, such as gene sequencers, mass spectrometers, and bioinformatics analysis servers, which have short technology iteration cycles, the double-declining balance method or a shorter depreciation period can be used to accelerate cost recovery. For low-tech assets, such as laboratory benches, fume hoods, and refrigerators, which are mainly subject to physical wear and tear and have little impact from technological updates, the straight-line method can be used, with depreciation calculated over the conventional period.

[0141] For high-value assets, such as cell sorters and MRI scanners, accelerated depreciation or units-of-production depreciation methods can be prioritized, with periodic impairment tests, such as annual assessments. For low-value assets, such as pipettes and small centrifuges, the straight-line method or one-time inclusion in current period costs can be used.

[0142] In one possible embodiment, the depreciation method can be flexibly selected based on the usage environment and tax policies of the laboratory assets. For example, for equipment that is exposed to high temperature, high pressure, or chemical corrosion environments for extended periods, which experiences rapid physical wear, accelerated depreciation can be used, or the depreciation amount can be adjusted based on actual workload. Once the depreciation method is determined, monthly depreciation of the fixed laboratory assets can be accrued and transmitted to a printer to print a monthly depreciation report.

[0143] Furthermore, depreciation can be manually entered and adjusted.

[0144] The asset management platform server 101 is also used to implement functions such as RFID tag management, addition, modification, transfer, repair, scrapping, depreciation, borrowing, allocation, and expiration alarms for laboratory assets. For each laboratory asset, all information from purchase, commissioning, to scrapping can be retrieved.

[0145] The asset management platform supports quick asset location by region or category.

[0146] The asset management platform supports users in querying assets. The asset management platform server 101 is also used to receive users' asset query requests, query data in the asset database, and generate visual images for display on the asset management platform.

[0147] For example, if a user wants to view the full lifecycle data of fixed asset A, they can query the full lifecycle data of fixed asset A in the asset database and select a visualization method, such as a timeline view, to mark key nodes in the asset's full lifecycle, including procurement, acceptance, first use, maintenance, repair, changes, and scrapping. Each node displays a brief event description.

[0148] The brief event descriptions for procurement nodes can include the procurement date, supplier name, asset name and specifications, procurement quantity, contract number, and purpose. The brief event description for acceptance can include the acceptance date, name of the person accepting the acceptance, acceptance standard document number, and asset name, along with the acceptance results, such as no visible damage, normal functional testing, and compliance with procurement requirements; acceptance is considered passed. The brief event description for first-time use can include the first-time use date, user name, experimental project name, and asset name. The brief event description for maintenance can include the maintenance date, maintenance personnel name, maintenance plan number, and asset name; routine maintenance includes cleaning, component inspection, etc., and the equipment is in good condition. The brief event description for repair can include the repair request date, repair requester name, asset name, description of the fault, repair start date, repair end date, repair personnel name, damaged component name, and the repair results, such as repair performed through [specific procedure], and the equipment returning to normal after testing. The brief event description for changes can include the change date, reason for change, asset name, change content (e.g., parameter adjustment, installation location change), name of the person executing the change, and a record of normal operation after testing following the change. A brief description of the event for scrapping may include the scrapping application date, applicant's name, asset name, reason for scrapping, scrapping approval date, approver's name, and scrapping processing date.

[0149] For example, please refer to Figure 8 , Figure 8 This is a schematic diagram of an asset visualization interface provided in an embodiment of this application, such as... Figure 8 As shown, a timeline displays the entire lifecycle data of fixed asset A, recording its entire process from procurement, acceptance, initial use, maintenance, repair, modification, and scrapping. Maintenance includes multiple maintenance cycles, including the first, second, and third maintenance. Clicking the procurement control leads to the procurement details page, while clicking the controls for acceptance, initial use, maintenance, repair, modification, and scrapping leads to the corresponding details page. In the timeline, the length of the dashed line between each two key nodes corresponds to the time interval.

[0150] Specifically, time information can be added to each key node to determine the exact time.

[0151] When conducting asset inventory using the first reader / writer 102, the information of all laboratory assets in the department to be inventoried is first downloaded to the handheld reader / writer. Then, each laboratory asset is scanned one by one, and the relevant information for each scanned item is displayed on the handheld reader / writer. During the inventory process, details of items not yet inventoried can be viewed at any time on the handheld reader / writer. After the inventory is completed, inventory surplus details, inventory shortage details, and inventory summary tables can be generated by department, section, or even room number.

[0152] In one possible embodiment, the asset management platform server 101 is also used to receive the inventory results from the first reader 102. The inventory results may contain unqualified tag information. The unqualified information is manually modified, and the asset management platform server 101 analyzes the reasons for the unqualification and generates an RFID tag processing strategy based on the reasons for the unqualification.

[0153] For example, if the problem is with the tag itself, a comprehensive re-inspection should be performed on the coverage area of ​​tags from the same batch and of the same type. If the problem is with the reader / writer's performance, cross-validation readings should be performed on the tags in the reader / writer's coverage area. If the problem is with data synchronization anomalies, data consistency checks should be performed on the tags in the affected area.

[0154] The system allows for the disposal of laboratory assets through the asset management platform server, and provides a function to print disposal application forms, which can be attached to the disposal approval process on the internal office platform. It also allows for the registration and querying of laboratory asset sale information.

[0155] The system can automatically generate monthly reports on fixed laboratory assets through the asset management platform server. It can also query and categorize monthly / annual reports based on conditions such as unit, department, and time, as well as monthly reports on fixed laboratory assets added this month, monthly reports on fixed laboratory assets reduced this month, monthly / annual reports on fixed laboratory asset depreciation, and provides a printing function.

[0156] The asset management platform server allows for comprehensive queries of fixed laboratory assets, enabling searches for individual assets or batches of fixed laboratory assets. Query criteria include laboratory asset category, purchase date, purchaser, supplier, user department, net asset value, asset name, and specifications. All query reports can be exported to Excel.

[0157] The system can be maintained through the asset management platform server, and mainly includes definitions for laboratory asset classification, exit methods, acquisition methods, warehouses, departments, and custodians. For example, exit methods include scrapping and loss; acquisition methods include purchase, transfer from higher-level authorities, transfer at the same level, and donation from external units.

[0158] As can be seen, this application provides an advanced, reliable, and applicable digital platform for automatic identification and intelligent management of laboratory assets entering and exiting the laboratory, improving the ability to manage internal laboratory assets in real time. It also ensures real-time consistency between laboratory asset change information and system information, enabling the back-end system to effectively monitor and record workflows in real time, allowing managers to promptly understand the allocation and usage of laboratory assets from their offices.

[0159] Please see Figure 9 , Figure 9This is a schematic diagram of the structure of an electronic device proposed in an embodiment of this application, as shown below. Figure 9 As shown, the electronic device 900 includes a processor 910, a memory 920, a communication interface 930, and one or more programs 921. The one or more programs 921 are stored in the memory and configured to be executed by the processor. When the program is executed, it includes some or all of the steps of any of the process configuration methods described in the above method embodiments. The processor, memory, and communication interface are interconnected and complete communication between them.

[0160] The memory can be volatile memory such as Dynamic Random Access Memory (DRAM) or non-volatile memory such as a hard disk drive. The memory stores a set of executable program code, and the processor calls the executable program code stored in the memory to perform any of the functions described in the above embodiment of the RFID-based laboratory asset management system.

[0161] This application also provides a computer storage medium storing a computer program for electronic data interchange, which causes a computer to perform some or all of the steps of any of the methods described in the above method embodiments, wherein the computer includes an electronic device.

[0162] This application also provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods described in the above method embodiments. The computer program product may be a software installation package, and the computer may include an electronic device.

[0163] It should be noted that, for the sake of simplicity, the aforementioned methods are described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are optional, and the actions and modules involved are not necessarily essential to this application.

[0164] In the above embodiments, the descriptions of each embodiment have their own emphasis. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0165] In the several embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical or other forms.

[0166] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0167] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software program module.

[0168] If the integrated unit is implemented as a software program module and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0169] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage device, which may include: a flash drive, a read-only memory, a random access memory, a magnetic disk, or an optical disk, etc.

[0170] The embodiments of this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The above description of the embodiments is only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A management system for laboratory assets based on RFID technology, characterized in that, This includes an asset management platform server, a reader / writer, laboratory assets, and RFID tags attached to the laboratory assets. The reader / writer is used to monitor changes in the status of the laboratory assets and to take inventory of the laboratory assets by scanning the RFID tags. The asset management platform server is used to detect newly added experimental tasks; In addition, determine at least one operational step for performing the new experimental task and a list of laboratory assets required for each of the at least one operational step; And, determine the operation time for each of the operation steps; Furthermore, based on the operation sequence of the at least one operation step and the operation duration of each operation step, the retrieval time of each laboratory asset in the laboratory asset list required for each operation step is determined, so that the user can retrieve the laboratory asset for experimental operation according to the retrieval time.

2. The laboratory asset management system based on RFID technology according to claim 1, characterized in that, The asset management platform server is also used to determine the timeliness constraint information of each laboratory asset; and to adjust the retrieval time of each laboratory asset according to the timeliness constraint information.

3. The laboratory asset management system based on RFID technology according to claim 2, characterized in that, The asset management platform server is also used to acquire environmental data of the newly added experimental task; and to adjust the timeliness constraint information based on the environmental data.

4. The laboratory asset management system based on RFID technology according to claim 1, characterized in that, The asset management platform server is also used to obtain real-time inventory information based on the reader / writer; and, Based on the real-time inventory information, match the available time period for each laboratory asset; as well as, Determine the user's first experimental level; as well as, The operation duration for each operation step is determined based on the list of laboratory assets required for each operation step, the first experimental level, and the available time period for each laboratory asset.

5. The laboratory asset management system based on RFID technology according to claim 4, characterized in that, The asset management platform server is also used to determine the execution time constraints of the newly added experimental task; and, Based on the real-time inventory information, determine the list of tasks that occupy the laboratory assets within the execution time constraint; and... Determine the task attributes of each task in the task list and the newly added experimental task. The task attributes include the task urgency, the execution time constraint, and the user's management permissions. as well as, Adjust the task list according to the task attributes; and further, determine the available time period of the laboratory asset based on the adjusted task list.

6. The laboratory asset management system based on RFID technology according to claim 4, characterized in that, The asset management platform server is also used to obtain the user's asset access permissions; as well as, The number of times the user performs operations on the newly added experimental task is obtained; and, Determine the second experimental level of the newly added experimental task; as well as, The user's first experimental level is determined based on the asset access permissions, the number of operations, and the second experimental level.

7. The laboratory asset management system based on RFID technology according to any one of claims 1-6, characterized in that, The asset management platform server is also used to perform time-based monitoring and time-sharing early warning of the laboratory assets based on the reader's detection of the removal action of the laboratory assets.

8. The laboratory asset management system based on RFID technology according to any one of claims 1-6, characterized in that, The asset management platform server is also used to receive the inventory results obtained by the reader / writer; and, Analyze the reasons for the non-compliant label information in the inventory results; and, Based on the stated reasons, the RFID tags within the preset area are managed and controlled.

9. The laboratory asset management system based on RFID technology according to any one of claims 1-6, characterized in that, The asset management platform server is also configured to determine the depreciation parameters of the laboratory assets based on the tag information of the laboratory assets; and, The target depreciation method is determined based on the aforementioned depreciation parameters; and... Depreciation is calculated on the laboratory assets according to the target depreciation method, and a depreciation report is generated and printed.

10. The laboratory asset management system based on RFID technology according to any one of claims 1-6, characterized in that, The asset management platform server is also used to respond to requests for differentiated attributes of the laboratory assets and to extend the recording of the attributes of the laboratory assets.

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