Asset full life cycle management system and method based on Internet of Things

Abstract

The invention provides an asset full life cycle management system and method based on the Internet of Things, and the system comprises a link determination module which is used for analyzing the basic information of a to-be-managed project, and determining a full life cycle link of an asset corresponding to the to-be-managed project based on an analysis result; the full-life-cycle management module is used for determining the execution sequence of the assets in the full-life-cycle link, and tracking, monitoring and managing the real-time states of the assets in the full-life-cycle link in sequence based on the execution sequence; and the emergency response module is used for determining an abnormal life cycle link and an asset abnormality type when determining that the asset is abnormal based on the tracking monitoring and management result, and performing early warning management based on a determination result. The reliability of asset monitoring and management is improved, the reliability of assets is ensured, and the effectiveness of asset full-life-cycle management is improved at the same time.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly relates to an asset full-life cycle management system and method based on the Internet of Things. Background Art

[0002] At present, with the continuous development of information technology and the increasing requirements of enterprises for asset management, in today's digital age, enterprises have a large number of various assets, including equipment, facilities, materials, etc., which need to be managed efficiently and accurately;

[0003] However, traditional asset management methods have problems such as low efficiency, inaccurate information, and difficulty in real-time monitoring when facing complex and diverse asset types and large-scale asset quantities. At the same time, it is impossible to effectively master information such as the status and location of assets at any time, and the connection and coordination of each management link are not tight enough, which easily leads to information islands and management loopholes, thus greatly reducing the management effect of assets;

[0004] Therefore, in order to overcome the above defects, the present invention provides an asset full-life cycle management system and method based on the Internet of Things. Summary of the Invention

[0005] The present invention provides an asset full-life cycle management system and method based on the Internet of Things, which are used to accurately and effectively determine the full-life cycle links of the assets corresponding to the items to be managed by analyzing the basic information of the items to be managed, providing data support for asset full-life cycle management. Secondly, determine the execution order of the assets in the full-life cycle links, and realize the real-time status tracking, monitoring and management of the assets in the full-life cycle links according to the execution order, ensuring the processing effect of the assets in each life cycle link and improving the reliability of asset monitoring and management. Finally, determine whether there are abnormalities in each life cycle link of the assets, and when there are abnormalities, timely determine and warn the abnormal life cycle link and the asset abnormal type, ensuring the reliability of the assets and improving the effectiveness of asset full-life cycle management.

[0006] The present invention provides an asset full-life cycle management system based on the Internet of Things, including:

[0007] A link determination module, configured to analyze the basic information of the items to be managed and determine the full-life cycle links of the assets corresponding to the items to be managed based on the analysis result;

[0008] A full-life cycle management module, configured to determine the execution order of the assets in the full-life cycle links and sequentially track, monitor and manage the real-time status of the assets in the full-life cycle links based on the execution order;

[0009] An emergency response module, which is used to determine the abnormal life cycle links and asset abnormal types when it is determined that there is an abnormality in the asset based on the tracking monitoring and management results, and perform early warning management based on the determination results.

[0010] Preferably, an asset full-life cycle management system based on the Internet of Things, the link determination module includes:

[0011] A to-be-managed project analysis unit, which is used to:

[0012] Obtain the to-be-managed project and extract the basic information of the to-be-managed project;

[0013] Analyze the basic information to determine the asset characteristics of the to-be-managed project based on the management requirements and objectives of the asset;

[0014] A full-life cycle link determination unit, which is used to:

[0015] Match available management links from the preset business link library based on the asset characteristics. At the same time, extract the configuration parameters of the available management links, and perform vector conversion on the configuration parameters and the management requirements and objectives of the asset;

[0016] Determine the relevance between the available management links and the management requirements and objectives based on the vector conversion results, and lock the available management links with a relevance greater than the preset threshold to obtain the full-life cycle links of the assets corresponding to the to-be-managed project.

[0017] Preferably, an asset full-life cycle management system based on the Internet of Things, the full-life cycle link determination unit includes:

[0018] A result acquisition subunit, which is used to obtain the full-life cycle links of the assets corresponding to the to-be-managed project obtained, and extract the step processes of each cycle link in the full-life cycle links;

[0019] A verification subunit, which is used to:

[0020] Extract the execution parameters of each step process in each cycle link, and perform standard verification on the execution parameters of each step process based on the industry management execution standards;

[0021] After the standard verification is passed, extract the resource scheduling amounts of each step process, and perform rationality verification on the resource scheduling amounts of each step process based on the management requirements and objectives of the asset;

[0022] A recording subunit, which is used to record and file the full-life cycle links of the assets corresponding to the to-be-managed project obtained after the rationality verification is passed.

[0023] Preferably, an asset full-life cycle management system based on the Internet of Things, the full-life cycle management module includes:

[0024] An execution order determination unit, configured to:

[0025] Extract the business execution characteristics of each cycle link in the full life cycle link, and determine the business execution logic between each cycle link based on the business execution characteristics;

[0026] Determine the execution order positions of each cycle link based on the business execution logic, and sequentially number each cycle link based on the determination result;

[0027] Obtain the execution order of the asset in the full life cycle link based on the sequential numbering result;

[0028] An asset monitoring and management unit, configured to:

[0029] Start the starting cycle link in the full life cycle link based on the execution order, and perform initial processing on the asset according to the starting cycle link based on the start result;

[0030] Real-time monitor the initial processing process of the starting cycle link, obtain the processing process of the asset in the starting cycle link based on the real-time monitoring result, and when the processing process reaches the preparatory trigger condition of the next cycle link, perform the first wake-up on the next cycle link based on the execution order;

[0031] Perform resource allocation and process soft start on the next cycle link based on the wake-up result, and perform follow-up processing on the initial processing result after the initial processing is completely completed until the processing of the asset in the full life cycle link;

[0032] At the same time, construct an asset tracking mechanism, and when performing the first wake-up on the next cycle link, synchronously perform the second wake-up on the asset tracking mechanism;

[0033] Control the asset tracking mechanism to track and monitor the follow-up processing of the asset in the next cycle link based on the second wake-up result, and obtain the real-time status of each cycle link of the asset in the full life cycle link;

[0034] Synchronously send the real-time status of each cycle link to the management terminal for status monitoring and management.

[0035] Preferably, an asset full life cycle management system based on the Internet of Things, the asset monitoring and management unit includes:

[0036] An asset verification sub-unit, configured to:

[0037] Sequentially obtain the basic parameters of the asset in each cycle link based on the execution order of the asset in the full life cycle link;

[0038] At the same time, obtain the initial basic parameters of the asset, and perform prior condition configuration on each cycle link in the full life cycle link based on the initial basic parameters;

[0039] Based on the prior condition configuration result, control the basic parameters of the current cycle link in the whole life cycle environment to verify those of the previous cycle link. After the verification passes, start the business processing process of the current cycle link for the asset to perform the continuation processing on the asset;

[0040] The management subunit is used for:

[0041] Based on the continuation processing result, determine the flow time node of the asset in each cycle link, and encapsulate the flow time node and the basic parameters obtained after the complete processing of the asset in each cycle link;

[0042] Based on the encapsulation result, obtain the real-time status of the asset in each cycle link of the whole life cycle link.

[0043] Preferably, an asset whole life cycle management system based on the Internet of Things. The asset monitoring and management unit includes:

[0044] The status monitoring and management subunit is used to obtain the real-time status of the asset in each cycle link of the whole life cycle link, and determine the resource composition characteristics of the asset in each cycle link based on the real-time status;

[0045] The status analysis subunit is used to analyze the resource composition characteristics based on the business objectives of each cycle link, and when the resource composition does not meet the business objectives, determine the resource scheduling parameters of the asset in each cycle link;

[0046] The resource scheduling subunit is used to allocate resources to the asset in the corresponding cycle link based on the resource scheduling parameters.

[0047] Preferably, an asset whole life cycle management system based on the Internet of Things. The emergency response module includes:

[0048] The result retrieval unit is used to obtain the tracking monitoring and management results of the asset, and perform multi-dimensional analysis on the tracking monitoring and management results to obtain the dimensional status representations of the asset in each cycle link;

[0049] The anomaly determination and warning unit is used for:

[0050] Obtain the standard dimensional status representations of the asset in each cycle link, and compare the differences between the standard dimensional status representations and the dimensional status representations of the asset in each cycle link;

[0051] When there is a difference comparison result greater than the preset threshold, determine that the asset is abnormal, and based on the determination result, determine the abnormal life cycle link and the asset anomaly type, and perform warning management based on the determination result.

[0052] Preferably, an asset full - life - cycle management system based on the Internet of Things, the anomaly determination and warning unit includes:

[0053] An anomaly determination subunit, configured to:

[0054] Obtain the obtained difference comparison result, and determine the target cycle link whose difference comparison result is greater than a preset threshold based on the difference comparison result;

[0055] Determine the target cycle link as an abnormal life - cycle link. At the same time, lock the dimensional state representation of the anomaly based on the difference comparison result, extract the business attributes of the dimensional state representation of the anomaly, and obtain the asset anomaly type based on the business attributes;

[0056] A warning subunit, configured to:

[0057] Generate a warning report based on the abnormal life - cycle link and the asset anomaly type, and obtain the available warning methods of the warning terminal from the management terminal;

[0058] Parallel - send the warning report to the warning terminal for warning notification based on the available warning methods.

[0059] The present invention provides an asset full - life - cycle management method based on the Internet of Things, including:

[0060] Step 1: Analyze the basic information of the project to be managed, and determine the full - life - cycle link of the asset corresponding to the project to be managed based on the analysis result;

[0061] Step 2: Determine the execution order of the asset in the full - life - cycle link, and sequentially track, monitor and manage the real - time state of the asset in the full - life - cycle link based on the execution order;

[0062] Step 3: When it is determined that the asset has an anomaly based on the tracking, monitoring and management results, determine the abnormal life - cycle link and the asset anomaly type, and perform warning management based on the determination result.

[0063] Preferably, in an asset full - life - cycle management method based on the Internet of Things, in Step 1, analyzing the basic information of the project to be managed and determining the full - life - cycle link of the asset corresponding to the project to be managed based on the analysis result includes:

[0064] Obtain the project to be managed, and extract the basic information of the project to be managed;

[0065] Analyze the basic information, and determine the asset characteristics of the project to be managed based on the management requirements and objectives of the asset;

[0066] Match available management processes from a preset business process library based on asset characteristics. Meanwhile, extract the configuration parameters of the available management processes, and perform vector transformation on the configuration parameters, the management requirements, and the objectives of the assets.

[0067] Determine the relevance between the available management processes and the management requirements and objectives based on the vector transformation results, and lock the available management processes with a relevance greater than a preset threshold to obtain the full life cycle processes of the assets corresponding to the items to be managed.

[0068] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0069] By analyzing the basic information of the items to be managed, accurately and effectively determine the full life cycle processes of the assets corresponding to the items to be managed, providing data support for the full life cycle management of assets. Secondly, determine the execution order of the assets in the full life cycle processes, and realize tracking, monitoring, and management of the real-time status of the assets in the full life cycle processes according to the execution order, ensuring the processing effects of the assets in each life cycle process, and improving the reliability of the monitoring and management of the assets. Finally, determine whether there are any abnormalities in the assets in each life cycle process, and when there are abnormalities, timely determine and give early warnings for the abnormal life cycle processes and the types of asset abnormalities, ensuring the reliability of the assets and improving the effectiveness of the full life cycle management of the assets.

[0070] Other features and advantages of the present invention will be described in the subsequent specification, and some of them will become obvious from the specification or be understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained through the structures specifically pointed out in this application document.

[0071] The technical solutions of the present invention will be further described in detail below through the accompanying drawings and embodiments. Description of the Drawings

[0072] The accompanying drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention, and do not constitute a limitation to the present invention. In the accompanying drawings:

[0073] Figure 1 It is a structural diagram of an asset full life cycle management system based on the Internet of Things in an embodiment of the present invention;

[0074] Figure 2 It is a structural diagram of a process determination module in an asset full life cycle management system based on the Internet of Things in an embodiment of the present invention;

[0075] Figure 3 It is a flowchart of an asset full life cycle management method based on the Internet of Things in an embodiment of the present invention. Specific Embodiments

[0076] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only for explaining and illustrating the present invention, and are not used to limit the present invention.

[0077] Embodiment 1:

[0078] This embodiment provides an asset full - life - cycle management system based on the Internet of Things, as Figure 1 shown, including:

[0079] A link determination module, which is used to analyze the basic information of the project to be managed, and determine the full - life - cycle links of the assets corresponding to the project to be managed based on the analysis results;

[0080] A full - life - cycle management module, which is used to determine the execution order of the assets in the full - life - cycle links, and sequentially track, monitor and manage the real - time status of the assets in the full - life - cycle links based on the execution order;

[0081] An emergency response module, which is used to determine the abnormal life - cycle link and the type of asset abnormality when it is determined that the asset is abnormal based on the tracking, monitoring and management results, and perform early - warning management based on the determination results.

[0082] In this embodiment, the project to be managed refers to a project that requires asset management, such as material management in a real - estate project, etc.

[0083] In this embodiment, the basic information refers to the type of the project to be managed and the management requirements and goals to be achieved during management.

[0084] In this embodiment, the full - life - cycle links refer to the management items involved in managing the assets of the project to be managed. For example, it can be determining the required amount of assets according to the project category, asset accounting management, asset operation and maintenance management, asset allocation management, and asset scrapping and disposal management, etc.

[0085] In this embodiment, the execution order refers to the specific sequence in which the assets are processed in the full - life - cycle links.

[0086] In this embodiment, tracking, monitoring and management refer to monitoring the status of the assets in the life - cycle links, and at the same time managing the specific situation of the assets according to the monitoring results. For example, it can be resource allocation and management of asset flow volume, etc.

[0087] The working principle and beneficial effects of the above technical solution are as follows: By parsing the basic information of the project to be managed, it is possible to accurately and effectively determine all the life cycle links of the assets corresponding to the project to be managed, providing data support for the full life cycle management of assets. Secondly, the execution order of the assets in the full life cycle link is determined, and the real-time status of the assets in the full life cycle link is tracked, monitored and managed according to the execution order, ensuring the processing effect of the assets in each life cycle link and improving the reliability of the monitoring and management of the assets. Finally, it is determined whether there are any abnormalities in the assets in each life cycle link. When there are abnormalities, the abnormal life cycle link and the type of asset abnormality are determined and warned in a timely manner, ensuring the reliability of the assets and at the same time improving the effectiveness of the full life cycle management of the assets.

[0088] Embodiment 2:

[0089] Based on Embodiment 1, this embodiment provides an asset full life cycle management system based on the Internet of Things, as Figure 2 shown. The link determination module includes:

[0090] The project to be managed parsing unit is used to:

[0091] Obtain the project to be managed and extract the basic information of the project to be managed;

[0092] Parse the basic information to determine the asset characteristics of the project to be managed based on the management requirements and objectives of the assets;

[0093] The full life cycle link determination unit is used to:

[0094] Match available management links from the preset business link library based on the asset characteristics. At the same time, extract the configuration parameters of the available management links and perform vector conversion on the configuration parameters and the management requirements and objectives of the assets;

[0095] Based on the vector conversion result, determine the relevance between the available management links and the management requirements and objectives, and lock the available management links with a relevance greater than the preset threshold to obtain the full life cycle links of the assets corresponding to the project to be managed.

[0096] In this embodiment, the management requirements and objectives refer to the management projects that need to be carried out when managing the assets and the final objectives to be achieved.

[0097] In this embodiment, the preset business link library is set in advance and stores the management links corresponding to different businesses.

[0098] In this embodiment, the available management links refer to the management links applicable to the assets of the current project to be managed.

[0099] In this embodiment, the configuration parameters refer to the types of services that the available management links can handle, as well as the conditions and requirements during service processing, etc.

[0100] In this embodiment, the relevance is used to characterize the matching degree between the available management links and the management requirements and objectives, so as to facilitate the screening of the available management links.

[0101] In this embodiment, the preset threshold is set in advance. It is a standard for selecting the full life cycle links of the assets corresponding to the items to be managed and can be adjusted.

[0102] The working principle and beneficial effects of the above technical solution are as follows: By analyzing the basic information of the items to be managed, the management requirements and objectives of the assets are effectively determined. At the same time, according to the management requirements and objectives, the available management links are matched from the preset business link library, and the available management links are screened according to the configuration parameters of the available management links and the management requirements and objectives of the assets. Finally, the full life cycle links of the assets corresponding to the items to be managed are effectively determined, providing convenience and guarantee for the effective management of the full life cycle of the assets.

[0103] Embodiment 3:

[0104] Based on Embodiment 2, this embodiment provides an Internet of Things-based asset full life cycle management system. The full life cycle link determination unit includes:

[0105] A result acquisition subunit, which is used to obtain the full life cycle links of the assets corresponding to the items to be managed and extract the step processes of each cycle link in the full life cycle links;

[0106] A verification subunit, which is used for:

[0107] Extracting the execution parameters of each step process in each cycle link and performing standard verification on the execution parameters of each step process based on the industry management execution standards;

[0108] After the standard verification is passed, extracting the resource scheduling amounts of each step process and performing rationality verification on the resource scheduling amounts of each step process based on the management requirements and objectives of the assets;

[0109] A recording subunit, which is used to record and file the full life cycle links of the assets corresponding to the items to be managed after the rationality verification is passed.

[0110] In this embodiment, the step process refers to the specific link that needs to be operated when each cycle link manages the assets corresponding to the items to be managed.

[0111] In this embodiment, the execution parameter refers to the specific behavioral operation performed in each step of the process when managing assets. For example, when performing bookkeeping management on assets, it can be the amount of assets to be recorded.

[0112] In this embodiment, the industry management execution standard is known in advance and is used to characterize the conditions or requirements that need to be met when managing assets during the operation of different industries.

[0113] The working principle and beneficial effects of the above technical solution are as follows: By analyzing the entire life cycle links of the assets corresponding to the items to be managed obtained, accurate and effective determination of the step processes of each cycle link is achieved. At the same time, the standardization and rationality of the step processes in each cycle link are verified, ensuring the accuracy and reliability of the finally obtained entire life cycle links, providing convenience and guarantee for asset whole life cycle management.

[0114] Embodiment 4:

[0115] Based on Embodiment 1, this embodiment provides an asset whole life cycle management system based on the Internet of Things. The whole life cycle management module includes:

[0116] An execution order determination unit, which is used for:

[0117] Extracting the business execution characteristics of each cycle link in the entire life cycle link, and determining the business execution logic between each cycle link based on the business execution characteristics;

[0118] Determining the execution order positions of each cycle link based on the business execution logic, and sequentially numbering each cycle link based on the determination result;

[0119] Obtaining the execution order of the assets in the entire life cycle link based on the sequential numbering result;

[0120] An asset monitoring and management unit, which is used for:

[0121] Starting the starting cycle link in the entire life cycle link based on the execution order, and performing initial processing on the assets according to the starting cycle link based on the start result;

[0122] Real-time monitoring the initial processing process of the starting cycle link, obtaining the processing process of the assets in the starting cycle link based on the real-time monitoring result, and when the processing process reaches the preparatory trigger condition of the next cycle link, performing a first wake-up on the next cycle link based on the execution order;

[0123] Performing resource configuration and process soft start on the next cycle link based on the wake-up result, and performing subsequent processing on the initial processing result after the initial processing is completely finished until the processing of the assets in the entire life cycle link;

[0124] Meanwhile, construct an asset tracking mechanism, and when the next cycle link is first awakened, synchronously awaken the asset tracking mechanism for the second time;

[0125] Based on the second awakening result, control the asset tracking mechanism to track and monitor the subsequent processing of the asset in the next cycle link, and obtain the real-time status of the asset in each cycle link during the whole life cycle;

[0126] Synchronously send the real-time status of each cycle link to the management terminal for status monitoring and management.

[0127] In this embodiment, the business execution feature refers to the business execution scope, business type, and conditions to be met when executing the business corresponding to each cycle link, etc.

[0128] In this embodiment, the business execution logic refers to the flow order of the asset between different cycle links when performing the whole life cycle management of the asset, so as to ensure the comprehensiveness of asset management.

[0129] In this embodiment, the sequential number refers to the serial number marking of each cycle link according to the determination result of the execution order position, and the purpose is to effectively distinguish the execution order.

[0130] In this embodiment, the starting cycle link refers to the first link corresponding to the asset when performing the whole life cycle management, that is, the starting point.

[0131] In this embodiment, the initial processing refers to processing the asset according to the processing steps of the starting cycle link.

[0132] In this embodiment, the preliminary trigger condition refers to the condition for preparing to start the next cycle link when managing the asset transfer between the previous cycle link and the next cycle link. For example, when the penultimate step of the previous cycle link is completed, the next cycle link can be started and enter the preparation state.

[0133] In this embodiment, the first awakening refers to triggering the next cycle environment.

[0134] In this embodiment, resource allocation and process soft start refer to scheduling the program resources required for the current cycle link when managing the asset after the next cycle environment is started, and at the same time, putting this cycle link in the standby state.

[0135] In this embodiment, the asset tracking mechanism is a solution or strategy for tracking the location and status of the asset during the whole life cycle management.

[0136] In this embodiment, the second wake-up refers to triggering the asset tracking mechanism when the asset is transferred from one cycle link to another, so as to realize the tracking and monitoring of the asset.

[0137] The working principle and beneficial effects of the above technical solution are as follows: By determining the business execution characteristics of each cycle link in the full life cycle link, the execution order of each cycle link is effectively determined according to the business execution characteristics, thus ensuring the reliability of the flow direction of the asset between the full life cycle links. Secondly, the transfer method and transfer conditions of the asset between different cycle links are configured to ensure the reliability of the asset processing between the full life cycle links. Finally, by constructing an asset tracking mechanism, the processing status and location of the asset in different cycle links are effectively determined, so as to realize the effective full life cycle management of the word length.

[0138] Embodiment 5:

[0139] Based on Embodiment 4, this embodiment provides an asset full life cycle management system based on the Internet of Things. The asset monitoring and management unit includes:

[0140] The asset verification sub-unit is used for:

[0141] Sequentially obtain the basic parameters of the asset in each cycle link based on the execution order of the asset in the full life cycle link;

[0142] At the same time, obtain the initial basic parameters of the asset, and configure the prior conditions for each cycle link in the full life cycle link based on the initial basic parameters;

[0143] Based on the prior condition configuration result, control the current cycle link in the full life cycle environment to verify the basic parameters of the previous cycle link. After the verification passes, start the business processing process of the current cycle link to continue processing the asset;

[0144] The management sub-unit is used for:

[0145] Determine the flow time node of the asset in each cycle link based on the continuation processing result, and encapsulate the flow time node and the basic parameters obtained after the asset is completely processed in each cycle link;

[0146] Obtain the real-time status of the asset in each cycle link in the full life cycle link based on the encapsulation result.

[0147] In this embodiment, the basic parameter refers to the specific quantity corresponding to the asset in each cycle link, that is, the value of the asset.

[0148] In this embodiment, the initial basic parameters refer to the initial values obtained from the management terminal when managing assets, aiming to effectively verify and monitor the quantity of assets during the management process.

[0149] In this embodiment, the prior condition configuration refers to configuring a verification condition for each cycle link according to the initial basic parameters, that is, when performing management operations in each cycle link, first verify the quantity of assets.

[0150] In this embodiment, the flow time nodes refer to the entry time point and the output time point of assets in each cycle link.

[0151] The working principle and beneficial effects of the above technical solution are as follows: By verifying the specific quantity of assets in each cycle link, it is ensured that there is no shortage of assets during the whole life cycle management process. At the same time, determine the flow time nodes of assets in each cycle link, and encapsulate the determined time nodes and the basic parameters obtained after the assets are completely processed in each cycle link, so as to accurately and effectively monitor and understand the real-time status of each cycle link of assets in the whole life cycle link, and ensure the reliability of the whole life cycle management of assets.

[0152] Embodiment 6:

[0153] Based on Embodiment 4, this embodiment provides an asset whole life cycle management system based on the Internet of Things. The asset monitoring and management unit includes:

[0154] The status monitoring and management sub-unit is used to obtain the real-time status of each cycle link of assets in the whole life cycle link, and determine the resource composition characteristics of assets in each cycle link based on the real-time status;

[0155] The status analysis sub-unit is used to analyze the resource composition characteristics based on the business objectives of each cycle link, and determine the resource scheduling parameters of assets in each cycle link when the resource composition does not meet the business objectives;

[0156] The resource scheduling sub-unit is used to allocate resources to assets in the corresponding cycle link based on the resource scheduling parameters.

[0157] In this embodiment, the resource composition characteristics refer to determining the components of resources in each cycle link according to the real-time status and the corresponding specific quantity size, etc.

[0158] In this embodiment, the business objective refers to the purpose and goal to be achieved when each cycle link conducts resource management.

[0159] In this embodiment, the resource scheduling parameter refers to the specific value for scheduling or adjusting resources in the cyclic link when the resource composition does not meet the service objective. For example, during operation and maintenance management, if it is found that the resource quantity is insufficient, then resources need to be replenished, etc.

[0160] The working principle and beneficial effects of the above technical solution are as follows: By analyzing the real-time status of each cyclic link in the whole life cycle link of the asset, the resource composition characteristics of the asset in each cyclic link are effectively determined. Further analyzing the resource composition characteristics, when the resource composition does not meet the service objective, the resource scheduling parameter is determined, so as to realize resource allocation for the asset in the corresponding cyclic link, improve the management effect of the asset, and at the same time improve the effectiveness of the whole life cycle management of the asset.

[0161] Embodiment 7:

[0162] Based on Embodiment 1, this embodiment provides an asset whole life cycle management system based on the Internet of Things. The emergency response module includes:

[0163] A result retrieval unit, configured to obtain the tracking, monitoring, and management results of the asset, and perform multi-dimensional analysis on the tracking, monitoring, and management results to obtain the dimensional state representations of the asset under each cyclic link;

[0164] An anomaly determination and warning unit, configured to:

[0165] Obtain the standard dimensional state representations of the asset under each cyclic link, and compare the differences between the standard dimensional state representations and the dimensional state representations of the asset under each cyclic link;

[0166] When there is a difference comparison result greater than a preset threshold, it is determined that the asset has an anomaly, and based on the determination result, the abnormal life cycle link and the asset anomaly type are determined, and warning management is performed based on the determination result.

[0167] In this embodiment, the dimensional state representation refers to the result obtained by analyzing the tracking, monitoring, and management results of the asset from different aspects and angles. For example, it can be the result obtained by analyzing the resource quantity, resource type, etc.

[0168] In this embodiment, the standard dimensional state representation refers to the state that the asset theoretically needs to reach after management in each cyclic link.

[0169] In this embodiment, the preset threshold is set in advance and is a measurement index for measuring whether the asset is abnormal.

[0170] The working principle and beneficial effects of the above technical solution are as follows: By performing multi-dimensional analysis on the tracking and monitoring of assets and management results, the dimensional state representation of assets in each cycle link is effectively determined. Secondly, the obtained dimensional state representation is compared with the standard dimensional state representation of assets in each cycle link to find the differences, and finally, the abnormal life cycle links and asset abnormal types are effectively determined, and further, effective early warning management is realized based on the abnormal life cycle links and asset abnormal types.

[0171] Embodiment 8:

[0172] Based on Embodiment 7, this embodiment provides an asset full-life cycle management system based on the Internet of Things. The abnormal determination and early warning unit includes:

[0173] An abnormal determination subunit, configured to:

[0174] Obtain the obtained difference comparison result, and based on the difference comparison result, determine the target cycle link whose difference comparison result is greater than a preset threshold;

[0175] Determine the target cycle link as an abnormal life cycle link. At the same time, based on the difference comparison result, lock the abnormal dimensional state representation, extract the business attribute of the abnormal dimensional state representation, and obtain the asset abnormal type based on the business attribute;

[0176] An early warning subunit, configured to:

[0177] Generate an early warning report based on the abnormal life cycle link and the asset abnormal type, and obtain the available early warning methods of the early warning terminal from the management terminal;

[0178] Based on the available early warning methods, send the early warning report to the early warning terminal in parallel for early warning notification.

[0179] In this embodiment, the target cycle link refers to the cycle link whose difference comparison result is greater than the preset threshold.

[0180] In this embodiment, the business attribute refers to the business type corresponding to the abnormal dimensional state representation.

[0181] In this embodiment, the available early warning methods refer to the available early warning forms that can be used, such as telephone early warning and SMS early warning, etc.

[0182] The working principle and beneficial effects of the above technical solution are as follows: By analyzing the difference comparison result, the asset abnormal type and the abnormal life cycle link are locked, and an effective early warning report is generated based on the locked result. At the same time, the available early warning methods of the early warning terminal are obtained from the management terminal. Finally, the early warning report is sent to the early warning terminal in parallel according to the available early warning methods for early warning notification, ensuring the reliability of asset management.

[0183] Example 9:

[0184] This embodiment provides an asset full - life - cycle management method based on the Internet of Things. As Figure 3 shown, it includes:

[0185] Step 1: Analyze the basic information of the item to be managed, and determine the full - life - cycle links of the assets corresponding to the item to be managed based on the analysis results;

[0186] Step 2: Determine the execution order of the assets in the full - life - cycle links, and sequentially track, monitor, and manage the real - time status of the assets in the full - life - cycle links based on the execution order;

[0187] Step 3: When it is determined that there are abnormalities in the assets based on the tracking, monitoring, and management results, determine the abnormal life - cycle links and the types of asset abnormalities, and perform early - warning management based on the determination results.

[0188] The working principle and beneficial effects of the above technical solution are as follows: By analyzing the basic information of the item to be managed, accurately and effectively determining the full - life - cycle links of the assets corresponding to the item to be managed, providing data support for asset full - life - cycle management. Secondly, determining the execution order of the assets in the full - life - cycle links, tracking, monitoring, and managing the real - time status of the assets in the full - life - cycle links according to the execution order, ensuring the processing effect of the assets in each life - cycle link, and improving the reliability of asset monitoring and management. Finally, determining whether there are abnormalities in the assets in each life - cycle link, and when there are abnormalities, timely determining and warning the abnormal life - cycle links and the types of asset abnormalities, ensuring the reliability of the assets and at the same time improving the effectiveness of asset full - life - cycle management.

[0189] Example 10:

[0190] Based on Example 9, this embodiment provides an asset full - life - cycle management method based on the Internet of Things. In Step 1, analyze the basic information of the item to be managed, and determine the full - life - cycle links of the assets corresponding to the item to be managed, including:

[0191] Obtain the item to be managed, and extract the basic information of the item to be managed;

[0192] Analyze the basic information to determine the asset characteristics of the item to be managed based on the management requirements and objectives of the assets;

[0193] Match available management links from the preset business - link library based on the asset characteristics. At the same time, extract the configuration parameters of the available management links, and perform vector conversion on the configuration parameters and the management requirements and objectives of the assets.

[0194] Determine the relevance between the available management links and the management requirements and objectives based on the vector conversion results, and lock the available management links with a relevance greater than a preset threshold to obtain the full life cycle links of the assets corresponding to the project to be managed.

[0195] The working principle and beneficial effects of the above technical solution are as follows: By analyzing the basic information of the project to be managed, the management requirements and objectives of the assets can be effectively determined. At the same time, the available management links are matched from the preset business link library according to the management requirements and objectives, and the available management links are screened according to the configuration parameters of the available management links and the management requirements and objectives of the assets. Finally, the full life cycle links of the assets corresponding to the project to be managed are effectively determined, providing convenience and guarantee for the effective management of the full life cycle of the assets.

[0196] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these changes and modifications.

Claims

1. An asset life cycle management system based on the Internet of Things, characterized in that: include: The link determination module is used to analyze the basic information of the project to be managed and determine the full life cycle link of the asset corresponding to the project to be managed based on the analysis results; The full life cycle management module is used to determine the execution order of assets in the full life cycle, and to track, monitor and manage the real-time status of assets in the full life cycle based on the execution order; The emergency response module is used to determine the abnormal life cycle link and asset abnormality type when it is determined that an asset has an abnormality based on the tracking monitoring and management results, and to perform early warning management based on the determination results.

2. According to claim 1, an asset life cycle management system based on the Internet of Things is characterized in that: The link determination module includes: The project parsing unit to be managed is used to: Get the project to be managed and extract the basic information of the project to be managed; Analyze basic information and determine the asset characteristics of the project to be managed based on the management needs and goals of the assets; The whole life cycle link determination unit is used to: Match available management links from the preset business link library based on asset characteristics, extract configuration parameters of available management links, and perform vector conversion between configuration parameters and asset management requirements and goals; Based on the vector conversion results, the correlation between the available management links and the management needs and goals is determined, and the available management links with correlation greater than the preset threshold are locked to obtain the full life cycle links of the assets corresponding to the project to be managed.

3. According to claim 2, an asset life cycle management system based on the Internet of Things is characterized in that: The whole life cycle link determination unit includes: The result acquisition subunit is used to obtain the entire life cycle of the assets corresponding to the project to be managed, and extract the step flow of each cycle in the entire life cycle; The check subunit is used to: Extract the execution parameters of each step of the process in each cycle, and perform standardized verification of the execution parameters of each step of the process based on industry management execution standards; After the specification verification is passed, the resource scheduling amount of each step of the process is extracted, and the rationality of the resource scheduling amount of each step of the process is verified based on the asset management needs and goals; The recording subunit is used to record and archive the entire life cycle of the assets corresponding to the project to be managed after the rationality check is passed.

4. According to the IoT-based asset life cycle management system of claim 1, it is characterized in that: Full life cycle management module, including: An execution order determination unit is used to: Extract the business execution features of each cycle link in the whole life cycle, and determine the business execution logic between each cycle link based on the business execution features; Determine the execution order of each cycle link based on the business execution logic, and number each cycle link in sequence based on the determination result; Based on the sequence numbering results, the execution order of the asset in the whole life cycle is obtained; Asset monitoring and management unit for: Start the starting cycle link in the whole life cycle link based on the execution sequence, and perform initial processing on the assets according to the starting cycle link based on the start result; Monitor the initial processing of the start cycle in real time, and obtain the processing of the asset in the start cycle based on the real-time monitoring result. When the processing reaches the pre-trigger condition of the next cycle, perform the first wake-up of the next cycle based on the execution order. Based on the wake-up result, resources are allocated and the process is soft-started for the next cycle, and after the initial processing is completed, the initial processing result is processed continuously until the asset is processed in the whole life cycle; At the same time, an asset tracking mechanism is constructed, and when the first wake-up is performed for the next cycle link, the asset tracking mechanism is woken up for the second time simultaneously; Based on the second wake-up result, the asset tracking mechanism is controlled to track and monitor the subsequent processing of the asset in the next cycle link, so as to obtain the real-time status of the asset in each cycle link in the whole life cycle link; The real-time status of each cycle link is synchronously sent to the management terminal for status monitoring and management.

5. According to claim 4, an asset life cycle management system based on the Internet of Things is characterized in that: Asset monitoring and management unit, including: The asset verification subunit is used to: Based on the execution order of the asset in the whole life cycle, the basic parameters of the asset in each cycle are obtained in sequence; At the same time, the initial basic parameters of the asset are obtained, and based on the initial basic parameters, the prior conditions of each cycle link in the whole life cycle are configured; Based on the prior condition configuration results, the current cycle link in the full life cycle environment is controlled to verify the basic parameters of the previous cycle link, and after the verification is passed, the business processing process of the asset in the current cycle link is started to continue the asset processing; Management subunit, used to: Determine the flow time nodes of assets in each cycle link based on the result of the subsequent processing, and encapsulate the flow time nodes and the basic parameters obtained after the asset processing is completed in each cycle link; Based on the encapsulation results, the real-time status of each cycle link in the entire life cycle of the asset is obtained.

6. The asset life cycle management system based on the Internet of Things according to claim 4 is characterized in that: Asset monitoring and management unit, including: The status monitoring management subunit is used to obtain the real-time status of each cycle link of the asset in the whole life cycle link, and determine the resource composition characteristics of the asset in each cycle link based on the real-time status; The state analysis subunit is used to analyze the resource composition characteristics based on the business objectives of each cycle link, and when the resource composition does not meet the business objectives, determine the resource scheduling parameters for the asset in each cycle link; The resource scheduling subunit is used to allocate resources for assets in corresponding cycle links based on resource scheduling parameters.

7. The asset life cycle management system based on the Internet of Things according to claim 1 is characterized in that: Emergency response module, including: The result retrieval unit is used to obtain the tracking, monitoring and management results of the assets, and to perform multi-dimensional analysis on the tracking, monitoring and management results to obtain the dimensional status representation of the assets in each cycle link; Abnormal determination and early warning unit, used to: Obtain the standard dimensional status representation of the asset at each cycle link, and compare the difference between the standard dimensional status representation and the dimensional status representation of the asset at each cycle link; When the difference comparison result is greater than the preset threshold, the asset is judged to be abnormal, and the abnormal life cycle link and asset abnormality type are determined based on the determination result, and early warning management is performed based on the determination result.

8. The asset life cycle management system based on the Internet of Things according to claim 7 is characterized in that: Abnormal determination and early warning unit, including: The exception determination subunit is used to: Obtain the obtained difference comparison result, and determine the target cycle link in which the difference comparison result is greater than a preset threshold based on the difference comparison result; The target cycle link is determined as an abnormal life cycle link. At the same time, based on the difference comparison result, the abnormal dimension state representation is locked, and the business attributes of the abnormal dimension state representation are extracted, and the asset abnormality type is obtained based on the business attributes; The early warning subunit is used to: Generate warning reports based on abnormal life cycle links and asset abnormality types, and obtain available warning methods of the warning terminal from the management terminal; Based on the available warning methods, the warning reports are sent in parallel to the warning terminals for warning notification.

9. A method for asset life cycle management based on the Internet of Things, characterized in that: include: Step 1: Analyze the basic information of the project to be managed, and determine the full life cycle of the assets corresponding to the project to be managed based on the analysis results; Step 2: Determine the execution order of the asset in the entire life cycle, and track, monitor and manage the real-time status of the asset in the entire life cycle based on the execution order; Step 3: When it is determined that an asset is abnormal based on the tracking, monitoring and management results, the abnormal life cycle link and asset abnormality type are determined, and early warning management is performed based on the determination results.

10. The method for asset life cycle management based on the Internet of Things according to claim 9 is characterized in that: In step 1, the basic information of the project to be managed is analyzed, and based on the analysis results, the full life cycle of the assets corresponding to the project to be managed is determined, including: Get the project to be managed and extract the basic information of the project to be managed; Analyze basic information and determine the asset characteristics of the project to be managed based on the management needs and goals of the assets; Match available management links from the preset business link library based on asset characteristics, extract configuration parameters of available management links, and perform vector conversion between configuration parameters and asset management requirements and goals; Based on the vector conversion results, the correlation between the available management links and the management needs and goals is determined, and the available management links with correlation greater than the preset threshold are locked to obtain the full life cycle links of the assets corresponding to the project to be managed.

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