A method and system for pushing scientific instrument rental business based on big data

Abstract

The present invention relates to the field of instrument rental management, and discloses a method and system for pushing scientific instrument rental services based on big data, including an instrument tracking and monitoring module, an instrument status evaluation module, a cycle period judgment module, and a rental management feedback module; by establishing an Internet of Things network to obtain the status of rented scientific instruments, and based on the status during the rental, estimating and judging the maintenance requirements of the instrument after the rental ends, so as to conveniently estimate the initial time of the next rental cycle of the instrument, facilitate the subsequent rental reservation behavior of users, and thus effectively promote the development and continuous maintenance of the entire rental business, making the entire process of rental, maintenance, and re-rental smoother and more predictable.

Description

Technical Field

[0001] The present invention relates to the field of instrument lease management, and specifically to a method and system for pushing scientific instrument lease services based on big data. Background Art

[0002] The lease service of scientific instruments can provide better scientific research support for more researchers, group enterprises, etc. Especially for individuals and small groups, their economic finances cannot support the acquisition of expensive scientific instruments. Therefore, through the instrument lease service, this problem can be effectively solved and the research process can be promoted.

[0003] In the prior art, there are many problems in the management of lease services. When the lease rate of instruments is relatively high, the returned instrument statuses are inconsistent, and a large amount of uncertain time is required for inspection and maintenance, resulting in uncertainty in subsequent lease deliveries, thus affecting the stable operation of the overall lease business. Summary of the Invention

[0004] The purpose of the present invention is to provide a method and system for pushing scientific instrument lease services based on big data to solve the problems raised in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solutions:

[0006] A scientific instrument lease service push system based on big data, comprising:

[0007] An instrument tracking and monitoring module, configured to establish an Internet of Things supervision network with multiple scientific instruments through Internet of Things devices, and obtain the status usage information of the multiple scientific instruments connected to the Internet of Things supervision network, where the status usage information includes device usage records and current status feedback of the devices;

[0008] An instrument status evaluation module, configured to evaluate the maintenance work requirements after the return of scientific instruments based on the status usage information, and obtain corresponding evaluation and maintenance requirements, where the evaluation and maintenance requirements represent the maintenance content that scientific instruments need to perform before entering the next lease usage cycle;

[0009] A cycle period judgment module, configured to obtain the return time nodes of corresponding scientific instruments through the Internet of Things supervision network, and evaluate the maintenance cycle duration of scientific instruments based on the evaluation and maintenance requirements to accumulate the return time nodes, so as to obtain the start limit time of the next lease cycle;

[0010] A lease management feedback module, configured to correspondingly update the lease status of scientific instruments and the start limit time of the next lease cycle, and push them to the demand user terminal through an information synchronization platform to receive lease reservation requests from the demand user terminal.

[0011] As a further solution of the present invention: the evaluation and maintenance requirements include periodic maintenance requirements and consumable maintenance requirements;

[0012] The periodic maintenance requirements are used to characterize that when the cumulative usage duration of a scientific instrument reaches a certain preset value during use, structural function verification and maintenance work with certain rules need to be performed on the scientific instrument. The number of the periodic maintenance requirements for the same scientific instrument can be multiple, and multiple periodic maintenance requirements respectively correspond to different functional structure components of the scientific instrument;

[0013] The consumable maintenance requirements are used to characterize the maintenance requirements of consumable, worn or decaying structural components of a scientific instrument during use. Different consumable, worn or decaying structural components are respectively provided with benefit decay models. The structural components are monitored through sensing devices correspondingly arranged in the scientific instrument, and the judgment of consumable maintenance requirements is generated based on the benefit decay models.

[0014] As a further solution of the present invention: the cycle period judgment module includes a maintenance period evaluation unit, specifically including:

[0015] A parallel judgment sub-unit, used to judge whether multiple structural components to be maintained can be maintained synchronously, and group the multiple structural components based on synchronous maintainability;

[0016] A sequential judgment sub-unit, used to judge the maintenance sequence of multiple structural components to be maintained and perform sequential division. The maintenance sequence indicates that there is a structural correlation between the structural components and needs to be maintained sequentially;

[0017] A period evaluation sub-unit, used to obtain the maintenance duration requirements of different structural components to be maintained, and calculate and obtain the total maintenance duration of the scientific instrument based on the grouping and sequential division results of synchronous maintainability.

[0018] As a further solution of the present invention: the cycle period judgment module further includes a transportation period addition unit;

[0019] The transportation period addition unit is used to obtain the rental address of the corresponding scientific instrument through the Internet of Things supervision network, so as to generate a return transfer period to accumulate the starting limit time of the next rental period. The return transfer period represents the time required for the scientific instrument to be transported to the maintenance center.

[0020] As a further solution of the present invention: the instrument tracking and monitoring module includes an instrument control unit;

[0021] The instrument control unit is used to manage and control the functional permissions of scientific instruments, and remotely authorize and invalidate the functional permissions of the Internet of Things supervision network through the Internet of Things network.

[0022] An embodiment of the present invention aims to provide a method for pushing scientific instrument rental business based on big data, including:

[0023] Establish an Internet of Things supervision network with multiple scientific instruments through Internet of Things devices, and obtain the status usage information of the multiple scientific instruments connected to the Internet of Things supervision network. The status usage information includes device usage records and current status feedback of the devices;

[0024] Evaluate the maintenance work requirements after the return of scientific instruments according to the status usage information, and obtain the corresponding evaluation maintenance requirements. The evaluation maintenance requirements represent the maintenance content that scientific instruments need to perform before entering the next rental usage cycle;

[0025] Obtain the return time node of the corresponding scientific instrument through the Internet of Things supervision network, and evaluate the maintenance cycle duration of the scientific instrument based on the evaluation maintenance requirements to accumulate the return time node, so as to obtain the start limit time of the next rental cycle;

[0026] Correspondingly update the rental status of scientific instruments and the start limit time of the next rental cycle, and push them to the demand user terminal through the information synchronization platform to receive rental reservation requests from the demand user terminal.

[0027] As a further solution of the present invention: the evaluation maintenance requirements include periodic maintenance requirements and consumable maintenance requirements;

[0028] The periodic maintenance requirements are used to represent that when the cumulative usage duration of a scientific instrument reaches a certain preset value during use, it is necessary to perform structural function verification and maintenance work on the scientific instrument according to certain rules. The number of the periodic maintenance requirements for the same scientific instrument can be multiple, and the multiple periodic maintenance requirements respectively correspond to different functional structure components of the scientific instrument;

[0029] The consumable maintenance requirements are used to represent the maintenance requirements of consumable, worn or attenuated structural components of a scientific instrument during use. Different consumable, worn or attenuated structural components are respectively provided with benefit attenuation models. The structural components are monitored through sensing devices correspondingly set in the scientific instrument, and the consumable maintenance requirements are judged and generated based on the benefit attenuation models.

[0030] As a further solution of the present invention: the step of evaluating the maintenance cycle duration of the scientific instrument based on the evaluation maintenance requirements to accumulate the return time node to obtain the start limit time of the next rental cycle specifically includes:

[0031] Judge whether multiple structural components to be maintained can be maintained synchronously, and group the multiple structural components based on synchronous maintainability;

[0032] Judge the maintenance order of multiple structural components to be maintained and perform order division. The maintenance order indicates that there is a structural correlation between structural components and needs to be maintained sequentially;

[0033] Obtain the maintenance duration requirements of different structural components to be maintained, and calculate and obtain the total maintenance duration of the scientific instrument based on the grouping and order division results of synchronous maintainability.

[0034] As a further solution of the present invention: it further includes the step of:

[0035] Obtain the rental address of the corresponding scientific instrument through the Internet of Things supervision network, so as to generate a return transfer cycle to accumulate the start limit time of the next rental cycle. The return transfer cycle represents the time required for the scientific instrument to be transferred to the maintenance center.

[0036] As a further solution of the present invention: it further includes the step of:

[0037] Manage and control the function permissions of scientific instruments, and remotely authorize and invalidate the function permissions of the Internet of Things supervision network through the Internet of Things.

[0038] Compared with the prior art, the beneficial effects of the present invention are: by establishing an Internet of Things network to obtain the status of leased scientific instruments, and estimating and judging the maintenance requirements of the instruments after the lease based on the status during the lease, so that the initial time of the next lease cycle of the instrument can be conveniently estimated, facilitating the subsequent rental reservation behavior of users, thereby effectively promoting the development and continuous maintenance of the entire rental business, making the entire process of rental, maintenance, and re-rental smoother and more predictable. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a block diagram of the composition of a scientific instrument rental business push system based on big data.

[0040] Figure 2 It is a block diagram of the composition of a maintenance cycle evaluation unit in a scientific instrument rental business push system based on big data.

[0041] Figure 3 It is a flow chart of a scientific instrument rental business push method based on big data. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] In order to make the objectives, technical solutions and advantages of the present invention more clear and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0043] The following describes in detail the specific implementation manners of the present invention with reference to specific embodiments.

[0044] As Figure 1 described, a big data-based scientific instrument rental business push system provided by an embodiment of the present invention includes:

[0045] An instrument tracking and monitoring module 100, configured to establish an Internet of Things supervision network with a plurality of scientific instruments through Internet of Things devices, and obtain status usage information of the plurality of scientific instruments connected to the Internet of Things supervision network, where the status usage information includes device usage records and current status feedback of the devices.

[0046] An instrument status evaluation module 300, configured to evaluate the maintenance work requirements after the return of scientific instruments according to the status usage information, and obtain corresponding evaluation and maintenance requirements, where the evaluation and maintenance requirements represent the maintenance contents that scientific instruments need to perform before entering the next rental usage cycle.

[0047] A cycle period judgment module 500, configured to obtain the return time node of the corresponding scientific instrument through the Internet of Things supervision network, and evaluate the maintenance cycle duration of the scientific instrument based on the evaluation and maintenance requirements to accumulate the return time node, so as to obtain the start limit time of the next rental cycle.

[0048] A rental management feedback module 700, configured to correspondingly update the rental status of scientific instruments and the start limit time of the next rental cycle, and push them to the demand user side through an information synchronization platform to receive rental reservation requests from the demand user side.

[0049] In this embodiment, a push system for the rental business of scientific instruments based on big data is provided. It acquires the status of the rented scientific instruments through the establishment of an Internet of Things network, and estimates and judges the maintenance requirements after the end of the lease based on the status during the lease, so as to conveniently estimate the initial time of the next lease cycle of the instrument, facilitate the subsequent rental reservation behavior of users, and effectively promote the development and sustainable maintenance of the entire rental business, making the entire process of lease-maintenance-rental smoother and more predictable. When in specific use, it acquires and records the status and usage of scientific instrument equipment through the Internet of Things, and then judges the maintenance requirements after the equipment is returned, such as the wear degree of a certain component and the wear rate under the current use. When it is returned, if a certain wear value is reached, maintenance is required (which may include intermediate maintenance, and the intermediate maintenance is not included in the time required for maintenance after return), and it may also include the regular maintenance of the equipment, such as when the usage duration reaches a preset duration. By calculating the duration of the maintenance items required after return, the starting time of the next lease of the equipment can be obtained more accurately, and then it can be pushed to the users in need, and the reservation requests according to their own needs can be obtained to establish a perfect reservation push platform.

[0050] As another preferred embodiment of the present invention, the evaluation of maintenance requirements includes periodic maintenance requirements and consumable maintenance requirements.

[0051] The periodic maintenance requirements are used to represent that when the cumulative usage duration of a scientific instrument reaches a certain preset value during use, structural function verification and maintenance work with certain rules need to be performed on the scientific instrument. The number of the periodic maintenance requirements of the same scientific instrument can be multiple, and the multiple periodic maintenance requirements respectively correspond to different functional structural components of the scientific instrument.

[0052] The consumable maintenance requirements are used to represent the maintenance requirements of consumable, worn or decaying structural components of a scientific instrument during use. Different consumable, worn or decaying structural components are respectively provided with benefit decay models. The structural components are monitored through the sensing devices correspondingly arranged in the scientific instrument, and the judgment of the consumable maintenance requirements is generated based on the benefit decay models.

[0053] In this embodiment, the types of maintenance are supplemented here, mainly including two aspects of periodic and consumable maintenance. The periodic one is easy to understand. After the instrument runs continuously for the rated time, comprehensive or partial structural maintenance and repair are required. The consumable one means that during use, the structure that will gradually lose performance accuracy, etc. needs to be monitored because its consumption change degree is uncontrollable to prevent it from entering the range where the error is not allowed and affecting the use of the instrument.

[0054] As Figure 2 shown, as another preferred embodiment of the present invention, the cycle period judgment module 500 includes a maintenance period evaluation unit 510, specifically including:

[0055] A parallel judgment subunit 511, configured to judge whether multiple structural components to be maintained can be synchronously maintained, and group the multiple structural components based on synchronous maintainability.

[0056] A sequential judgment subunit 512, configured to judge the maintenance sequence of multiple structural components to be maintained and perform sequential division, where the maintenance sequence indicates that there is a structural correlation between structural components and needs to be maintained sequentially.

[0057] A period evaluation subunit 513, configured to obtain the maintenance duration requirements of different structural components to be maintained, and calculate and obtain the total maintenance duration of the scientific instrument based on the grouping and sequential division results of synchronous maintainability.

[0058] Furthermore, the cycle period judgment module 500 further includes a transportation period addition unit;

[0059] The transportation period addition unit is configured to obtain the rental address of the corresponding scientific instrument through the Internet of Things supervision network, so as to generate a return transfer period to accumulate the start limit time of the next rental period, where the return transfer period represents the time required for the scientific instrument to be transferred to the maintenance center.

[0060] In this embodiment, the cycle period judgment module 500 is described. When judging the maintenance duration, when there are multiple structural objects in the instruments to be maintained, there are situations such as the sequential order of relevance and whether synchronous maintenance can be performed. Therefore, it is necessary to judge and arrange them so as to correctly evaluate the maintenance duration.

[0061] As another preferred embodiment of the present invention, the instrument tracking and monitoring module 100 includes an instrument control unit;

[0062] The instrument control unit is configured to manage and control the function permissions of the scientific instrument, and remotely authorize and invalidate the function permissions of the Internet of Things supervision network through the Internet of Things.

[0063] In this embodiment, the use permissions of the device are issued through the Internet of Things. That is to say, if the lessee does not connect to the Internet of Things during use, the lessee cannot use all the scientific test functions of the device. In this way, it can effectively prevent the situation that the use status of the device cannot be effectively supervised due to the lessee not connecting to the network, and avoid the damage that may be caused to the instrument by non-standard use.

[0064] AsFigure 3 As shown in the figure, the present invention also provides a method for pushing a scientific instrument rental business based on big data, which includes the steps of:

[0065] S200, establishing an Internet of Things supervision network with multiple scientific instruments through Internet of Things devices, and obtaining the status usage information of the multiple scientific instruments connected to the Internet of Things supervision network, where the status usage information includes device usage records and the current status feedback of the devices.

[0066] S400, evaluating the maintenance work requirements after the return of the scientific instrument according to the status usage information, and obtaining the corresponding evaluation maintenance requirements, where the evaluation maintenance requirements represent the maintenance content that the scientific instrument needs to perform before entering the next rental usage cycle.

[0067] S600, obtaining the return time node of the corresponding scientific instrument through the Internet of Things supervision network, and evaluating the maintenance cycle duration of the scientific instrument based on the evaluation maintenance requirements to accumulate the return time node, so as to obtain the start limit time of the next rental cycle.

[0068] S800, correspondingly updating the rental status of the scientific instrument and the start limit time of the next rental cycle, and pushing them to the demand user side through the information synchronization platform to receive rental reservation requests from the demand user side.

[0069] As another preferred embodiment of the present invention, the evaluation maintenance requirements include periodic maintenance requirements and consumable maintenance requirements;

[0070] The periodic maintenance requirements are used to represent that during the use of the scientific instrument, when the cumulative usage duration reaches a certain preset value, it is necessary to perform structural function verification and maintenance work with certain rules on the scientific instrument. The number of the periodic maintenance requirements for the same scientific instrument can be multiple, and the multiple periodic maintenance requirements respectively correspond to different functional structural components of the scientific instrument.

[0071] The consumable maintenance requirements are used to represent the maintenance requirements of consumable, worn or decaying structural components during the use of the scientific instrument. Different consumable, worn or decaying structural components are respectively provided with benefit decay models. The structural components are monitored through the sensing devices correspondingly set in the scientific instrument, and the judgment of the consumable maintenance requirements is generated based on the benefit decay models.

[0072] As another preferred embodiment of the present invention, the step of evaluating the maintenance cycle duration of the scientific instrument based on the evaluation maintenance requirements to accumulate the return time node and obtain the start limit time of the next rental cycle specifically includes:

[0073] Judge whether multiple structural components to be maintained can be maintained synchronously, and group the multiple structural components based on synchronous maintainability.

[0074] Judge the maintenance order of multiple structural components to be maintained, and perform order division. The maintenance order indicates that there is a structural correlation between structural components and needs to be maintained sequentially.

[0075] Obtain the maintenance duration requirements of different structural components to be maintained, and calculate and obtain the total maintenance duration of the scientific instrument based on the grouping and order division results of synchronous maintainability.

[0076] As another preferred embodiment of the present invention, it further includes the steps of:

[0077] Obtain the rental address of the corresponding scientific instrument through the Internet of Things supervision network, so as to generate a return transfer cycle to accumulate the start limit time of the next rental cycle. The return transfer cycle represents the time required for the scientific instrument to be transferred to the maintenance center.

[0078] As another preferred embodiment of the present invention, it further includes the steps of:

[0079] Manage and control the functional permissions of the scientific instrument, and remotely authorize and invalidate the functional permissions of the Internet of Things supervision network through the Internet of Things network.

[0080] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the various embodiments provided in the present application can include non-volatile and / or volatile memories. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0081] Other embodiments of the present disclosure will be readily apparent to those skilled in the art in view of the disclosure in the specification and the embodiments. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include known common general knowledge or conventional technical means in the technical field not disclosed in the present disclosure. The specification and the embodiments are only regarded as exemplary, and the true scope and spirit of the present disclosure are pointed out by the claims.

[0082] It should be understood that the present disclosure is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present disclosure is only limited by the appended claims.

Claims

1. A scientific instrument rental business push system based on big data, characterized in that, Including: An instrument tracking and monitoring module, which is used to establish an Internet of Things supervision network with multiple scientific instruments through Internet of Things devices, and obtain the status usage information of multiple scientific instruments connected to the Internet of Things supervision network. The status usage information includes device usage records and the current status feedback of the devices; An instrument status evaluation module, which is used to evaluate the maintenance work requirements after the return of scientific instruments according to the status usage information, and obtain the corresponding evaluation maintenance requirements. The evaluation maintenance requirements represent the maintenance content that scientific instruments need to perform before entering the next rental usage cycle; A cycle period judgment module, which is used to obtain the return time node of the corresponding scientific instrument through the Internet of Things supervision network, and evaluate the maintenance cycle duration of the scientific instrument based on the evaluation maintenance requirements to accumulate the return time node, so as to obtain the start limit time of the next rental cycle; A rental management feedback module, which is used to update the rental status of scientific instruments and the start limit time of the next rental cycle correspondingly, and push them to the demand user terminal through the information synchronization platform to receive rental reservation requests from the demand user terminal; The evaluation maintenance requirements include periodic maintenance requirements and consumable maintenance requirements; The periodic maintenance requirements are used to represent that when the cumulative usage duration of a scientific instrument reaches a certain preset value during use, it is necessary to perform structural function verification and maintenance work with certain rules on the scientific instrument. The number of the periodic maintenance requirements of the same scientific instrument is multiple, and the multiple periodic maintenance requirements respectively correspond to different functional structural components of the scientific instrument; The consumable maintenance requirements are used to represent the maintenance requirements of consumable, worn or attenuated structural components of a scientific instrument during use. Different consumable, worn or attenuated structural components are respectively provided with benefit attenuation models. The structural components are monitored through the sensing devices correspondingly set in the scientific instrument, and the consumable maintenance requirements are judged and generated based on the benefit attenuation models; The cycle period judgment module includes a maintenance period evaluation unit, specifically including: A parallel judgment subunit, which is used to judge whether multiple structural components to be maintained can be synchronously maintained, and group the multiple structural components based on synchronous maintainability; A sequential judgment subunit, which is used to judge the maintenance sequence of multiple structural components to be maintained and perform sequential division. The maintenance sequence indicates that there is a structural correlation between the structural components and needs to be maintained sequentially; A period evaluation subunit, which is used to obtain the maintenance duration requirements of different structural components to be maintained, and calculate and obtain the total maintenance duration of the scientific instrument based on the grouping and sequential division results of synchronous maintainability; The cycle period judgment module also includes a transportation period addition unit; The transportation period addition unit is used to obtain the rental address of the corresponding scientific instrument through the Internet of Things supervision network, so as to generate a return transfer period to accumulate the start limit time of the next rental cycle. The return transfer period represents the time required for the scientific instrument to be transferred to the maintenance center; 2. The scientific instrument rental business push system based on big data according to claim 1, characterized in that, The instrument tracking and monitoring module includes an instrument control unit; The instrument control unit is used to manage and control the functional permissions of scientific instruments, and remotely authorize and invalidate the functional permissions of the IoT supervision network through the IoT network.

3. A scientific instrument rental business push method based on big data, characterized in that, It includes: Establish an IoT supervision network with multiple scientific instruments through IoT devices, and obtain the status usage information of the multiple scientific instruments connected to the IoT supervision network. The status usage information includes device usage records and the current status feedback of the devices; Evaluate the maintenance work requirements after the return of scientific instruments based on the status usage information, and obtain the corresponding evaluation maintenance requirements. The evaluation maintenance requirements represent the maintenance content that scientific instruments need to perform before entering the next rental usage cycle; Obtain the return time node of the corresponding scientific instrument through the IoT supervision network, and evaluate the maintenance cycle duration of the scientific instrument based on the evaluation maintenance requirements to accumulate the return time node, so as to obtain the start limit time of the next rental cycle; Correspondingly update the rental status of the scientific instrument and the start limit time of the next rental cycle, and push them to the demand user terminal through the information synchronization platform to receive rental reservation requests from the demand user terminal; The evaluation maintenance requirements include periodic maintenance requirements and consumable maintenance requirements; The periodic maintenance requirements are used to represent that when the cumulative usage duration of a scientific instrument reaches a certain preset value during use, it is necessary to perform structural function verification and maintenance work according to certain rules on the scientific instrument. The number of the periodic maintenance requirements for the same scientific instrument is multiple, and the multiple periodic maintenance requirements respectively correspond to different functional structural components of the scientific instrument; The consumable maintenance requirements are used to represent the maintenance requirements of consumable, worn or attenuated structural components of a scientific instrument during use. Different consumable, worn or attenuated structural components are respectively provided with benefit attenuation models. The structural components are monitored through the sensing devices correspondingly set in the scientific instrument, and the judgment of the consumable maintenance requirements is generated based on the benefit attenuation models; The step of evaluating the maintenance cycle duration of the scientific instrument based on the evaluation maintenance requirements to accumulate the return time node and obtain the start limit time of the next rental cycle specifically includes: Judge whether multiple structural components to be maintained can be synchronously maintained, and group the multiple structural components based on synchronous maintainability; Judge the maintenance order of multiple structural components to be maintained, and perform order division. The maintenance order indicates that there is a structural correlation between the structural components and they need to be maintained in sequence; Obtain the maintenance duration requirements of different structural components to be maintained, and calculate the total maintenance duration of the scientific instrument based on the grouping and order division results of synchronous maintainability; It also includes the step: Obtain the rental address of the corresponding scientific instrument through the IoT supervision network, so as to generate a return transfer cycle to accumulate the start limit time of the next rental cycle. The return transfer cycle represents the time required for the scientific instrument to be transferred to the maintenance center.

4. The scientific instrument rental business push method based on big data according to claim 3, characterized in that, It also includes the step: Manage and control the functional permissions of scientific instruments, and remotely authorize and invalidate the functional permissions of the Internet of Things supervision network through the Internet of Things network.

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