Enterprise asset management method and related apparatus

Abstract

The application discloses an enterprise asset management method and related equipment, comprising the following steps: respectively assigning electronic tags to a plurality of asset physical objects, establishing a physical binding relationship between each asset physical object and the assigned electronic tag, periodically traversing all electronic tags, for any traversed electronic tag, calling the electronic tag to obtain positioning information, calling the electronic tag to sense the corresponding asset physical object to obtain asset information, and visually displaying each asset information according to each positioning information. The application enables the management layer to intuitively master the panoramic distribution and state information of enterprise assets, realizes intelligent inventory of enterprise assets, greatly improves the inventory efficiency, improves the management refinement level of enterprise assets, and realizes closed-loop management of inventory-difference-change by combining differences to automatically change the triggering mechanism, thereby realizing the whole life cycle management of enterprise assets based on the Internet of Things and visualization technology. The application is widely applied in the field of computer technology.

Description

Technical Field

[0001] This invention relates to the field of computer technology, and in particular to a method and related equipment for enterprise asset management. Background Technology

[0002] Large enterprises such as power grid companies have assets that include various types of assets such as buildings, transportation equipment, production equipment, and non-production office equipment and appliances. These assets are characterized by a large number of assets, wide geographical distribution, and complex management levels (headquarters-province-prefecture-city-county), which poses a challenge to the traditional enterprise asset management methods that mainly rely on manual ledgers and periodic manual inventory.

[0003] In the existing technology, the main defects of enterprise asset management are as follows: (1) Asset status is not visible: the management cannot intuitively grasp the panoramic distribution and usage status of office assets, and lacks a unified monitoring view covering the entire life cycle of registration, change, transfer and scrapping; (2) Management is rough: the information on the allocation, use and maintenance of enterprise assets is scattered in multiple systems, and the management cannot achieve overall control; (3) Asset inventory efficiency is low: the traditional manual inventory method requires a lot of manpower and resources, the inventory cycle is long, the accuracy is low, and it cannot detect asset differences in a timely manner and automatically trigger the change process. Summary of the Invention

[0004] In view of at least one of the above-mentioned technical problems, the purpose of this invention is to provide a method and related equipment for enterprise asset management.

[0005] On one hand, embodiments of the present invention include a method for enterprise asset management, the method comprising the following steps: Electronic tags are assigned to multiple physical assets; the electronic tags have communication, positioning, and sensing functions. Establish a physical binding relationship between each of the aforementioned physical assets and the assigned electronic tags; Periodically traverse all the aforementioned electronic tags; For any of the electronic tags encountered in the traversal, the electronic tag is invoked to locate and obtain location information, and the electronic tag is invoked to sense the corresponding physical asset to obtain asset information; Based on the location information, the asset information is displayed visually.

[0006] Furthermore, the step of using the electronic tag to sense the corresponding physical asset to obtain asset information includes: The electronic tag is invoked to detect the corresponding physical asset, and the working parameter information of the physical asset is obtained; Based on the aforementioned working parameter information, determine the adjusted value information of the physical asset; The adjusted value information is used as the asset information.

[0007] Furthermore, determining the adjusted value information of the physical asset based on the working parameter information includes: Search the ledger data of the physical assets to obtain the accounting value information of the physical assets; Based on the aforementioned operating parameter information, determine the magnitude of the reduction. The accounting value information is adjusted based on the impairment margin information to obtain the adjusted value information.

[0008] Furthermore, the step of visually displaying the asset information based on the location information includes: Running a geographic information system; Based on the location information, the asset information is loaded into the electronic map of the geographic information system for point-by-point display.

[0009] Furthermore, the enterprise asset management method also includes the following steps: Based on the location information and asset information described above, the asset value density of each location in the electronic map is determined. Based on the asset value density at each location, the physical assets are monitored.

[0010] Further, determining the asset value density of each location in the electronic map based on the location information and the asset information includes: Traverse all the asset information, and for any asset information, determine the office location to which the asset information belongs based on the location information corresponding to the asset information; Traverse all the office locations, and for any given office location, determine the asset value density of the office location based on its area information and all the corresponding asset information. Based on the location of each of the aforementioned office locations in the electronic map, the asset value density of discrete locations in the electronic map is determined; The asset value density of each location in the electronic map is determined by interpolation based on the asset value density of the discrete locations.

[0011] Furthermore, the monitoring of each physical asset based on the asset value density at each location includes: The gradient of the scalar field formed by the asset value density at each location is calculated to obtain gradient field information; Based on the gradient field information, identify the location points of abnormal asset warnings.

[0012] Further, identifying the abnormal asset warning location point based on the gradient field information includes: Obtain the first-order difference of the gradient field information with respect to time to obtain the gradient difference field information; The location points corresponding to vectors with amplitudes greater than a threshold in the gradient difference field information are identified as the abnormal asset warning location points.

[0013] On the other hand, embodiments of the present invention also include a computer device, including a memory and a processor, the memory for storing at least one program, and the processor for loading at least one program to execute the enterprise asset management method of the embodiments.

[0014] On the other hand, embodiments of the present invention also include a computer-readable storage medium storing a processor-executable program, which, when executed by a processor, is used to perform the enterprise asset management method in the embodiments.

[0015] The beneficial effects of this invention are as follows: The enterprise asset management method in the embodiments enables management to intuitively grasp the panoramic distribution and status of enterprise assets through GIS visualization technology; it realizes intelligent inventory of enterprise assets through electronic tags, which greatly improves inventory efficiency and enhances the level of refined management of enterprise assets; on this basis, it can combine the difference automatic change triggering mechanism to realize closed-loop management of inventory-difference-change, thereby enabling full life cycle management of enterprise assets based on Internet of Things and visualization technology. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of a system in which enterprise asset management methods can be applied, as illustrated in the embodiments. Figure 2 This is a schematic diagram of the first step of the enterprise asset management method in the embodiment; Figure 3 This is a schematic diagram illustrating the visualization effect of the electronic map and enterprise asset information in the embodiment; Figure 4 This is a schematic diagram of the second step of the enterprise asset management method in the embodiment; Figure 5 This is a schematic diagram of the scalar field formed by the asset value density in the embodiment; Figure 6 This is a schematic diagram of the gradient field information corresponding to the scalar field formed by the asset value density in the embodiment. Detailed Implementation

[0017] In this embodiment, it can be achieved by... Figure 1 The system shown is used to implement enterprise asset management methods. (Refer to...) Figure 1The system's hardware includes a central server, regional servers, communication base stations, and multiple electronic tags. (See reference...) Figure 1 Taking the management of corporate assets of a large power grid company as an example, the large power grid company has a group company at the national level and branches at various levels such as provinces (autonomous regions), cities, counties (districts), and townships. The group company directly owns some physical assets, and each branch also owns some physical assets. These physical assets specifically include buildings, structures, transportation equipment, production equipment, non-production office equipment and appliances, etc., and are distributed in different locations at various levels.

[0018] In this embodiment, electronic tags with communication, positioning, and sensing functions are used. Specifically, the communication function of the electronic tag can be the ability to transmit data with terminals such as mobile phones via short-range wireless communication protocols such as Bluetooth and Radio Frequency (RF), or it can be the ability to transmit data with communication base stations via long-range wireless communication protocols such as 5G. The positioning function of the electronic tag can be the ability to receive positioning signals sent by satellite navigation systems such as the Global Positioning System (GPS) or the BeiDou Navigation Satellite System (BDS) to directly determine its own latitude and longitude, or it can be the ability to receive wireless signals sent by nearby communication base stations or wireless routers and determine its own location by identifying the location of the communication base stations or wireless routers. The sensing function of the electronic tag includes the ability to detect parameters such as temperature, humidity, vibration frequency, vibration amplitude, and noise intensity of the surrounding environment or target objects through sensors. An electronic tag can transmit the location information detected by its positioning function and the parameters detected by its sensing function to the outside world through its communication function.

[0019] In this embodiment, a central server can be set up at the group company level, and regional servers can be set up in the regions where branches at all levels are located. Each regional server is connected to a communication base station set up in its respective region. (Refer to...) Figure 1 The communication base station can directly establish a communication connection with the electronic tag, or the asset inventory staff can use their mobile phones to establish a communication connection with the electronic tag, or use their mobile phones to scan the electronic tag and establish a communication connection with the communication base station at the same time, thereby realizing the communication connection between the communication base station and the electronic tag.

[0020] In this embodiment, refer to Figure 2 , Figure 1 The system-wide enterprise asset management method shown includes the following steps: S1. Assign electronic tags to multiple physical assets; S2. Establish a physical binding relationship between each physical asset and the assigned electronic tag; S3. Periodically traverse all electronic tags; S4. For any electronic tag encountered in the traversal, call the electronic tag to locate and obtain location information, and call the electronic tag to sense the corresponding physical asset to obtain asset information; S5. Visualize the asset information based on the location information.

[0021] In step S1, refer to Figure 1 The power grid company's group company can centrally produce electronic tags and distribute them to its various branches. Staff at the branches receiving the electronic tags can choose to assign one tag to each individual, complete asset, or select only those assets of higher value.

[0022] In step S2, staff can use methods such as pasting or screws to fix each physical asset to its assigned electronic tag, thereby establishing a physical binding relationship between each physical asset and its assigned electronic tag.

[0023] In this embodiment, each electronic tag stores information such as the asset code, name, type, department, and purchase date of the physical asset it is assigned to. This information can be read directly from the electronic tag by the central server or regional server through a communication base station, or it can be read by the mobile phone carried by the asset inventory staff and then sent to the central server or regional server.

[0024] In this embodiment, steps S3-S5 can be executed by the central server. When executing steps S3-S5, the central server can call upon the corresponding regional servers, communication base stations, mobile phones carried by asset inventory personnel, and electronic tags, etc.

[0025] In step S3, the main server can set multiple sampling times such as t1, t2, t3, etc. The duration between two adjacent sampling times, such as t1 and t2, can be 1 day, 1 week, 1 month, or 1 quarter, etc., and at each sampling time, all electronic tags are traversed to execute steps S4-S5.

[0026] In this embodiment, the example of the main server executing steps S3-S5 at a specific sampling time, such as t1, is used for illustration.

[0027] In this embodiment, when the central server executes step S4, which involves calling the electronic tag to sense the corresponding physical asset and obtain asset information, it can specifically perform the following steps: S401. Use the electronic tag to inspect the corresponding physical asset and obtain the working parameter information of the physical asset; S402. Determine the adjusted value information of the physical assets based on the working parameter information; S403. Use adjusted value information as asset information.

[0028] In step S401, the main server can call the sensing function of each electronic tag to detect the physical assets bound to the electronic tag, thereby obtaining the working parameter information such as working temperature, working environment humidity, and vibration amplitude of each physical asset.

[0029] In this embodiment, when the central server executes step S402, which is to determine the adjusted value information of the physical assets based on the working parameter information, it can specifically perform the following steps: S40201. Search the ledger data of physical assets to obtain the accounting value information of the physical assets; S40202. Determine the reduction range information based on the working parameter information; S40203. Adjust accounting value information based on impairment margin information to obtain adjusted value information.

[0030] The main server executes steps S40201-S40203 for each physical asset bound with an electronic tag. The following explanation will be based on the execution of steps S40201-S40203 on one physical asset.

[0031] In step S40201, the central server can search for the ledger data of physical assets in the company's asset management accounting system to obtain the accounting value information of the physical assets. The accounting value information represents the accounting value of the physical assets, typically determined by depreciation based on the original value of the assets (e.g., purchase price) using a certain depreciation standard (e.g., straight-line method).

[0032] In step S40202, the main server can call the normal parameter information of the asset. The normal parameter information includes parameters such as the humidity of the environment, the temperature and vibration amplitude generated during operation when the asset is working in a normal working environment and working state.

[0033] In step S40202, the main server can calculate the degree of deviation between the working parameter information obtained in step S401 and the normal parameter information, and determine the impairment margin information based on the magnitude of the deviation. The impairment margin information is the amount subtracted from the accounting value information when executing step S40203.

[0034] In this embodiment, the magnitude of the depreciation can be positively correlated with the degree of deviation. That is, the greater the deviation of the working parameter information from the normal parameter information, the greater the depreciation magnitude. For example, if the deviation is within a first threshold range (e.g., ±10% of the normal parameter information), then the working parameter information is considered equal to the normal parameter information, and the depreciation magnitude is determined to be 0. If the deviation is within a second threshold range (e.g., ±(10%-50%) of the normal parameter information), then the deviation of the working parameter information from the normal parameter information is considered large, and the depreciation magnitude is determined to be a relatively large 30%. If the deviation is within a third threshold range (e.g., ±(50%-100%) of the normal parameter information), then the deviation of the working parameter information from the normal parameter information is considered very large, and the depreciation magnitude is determined to be an even larger 50%.

[0035] In step S40203, the central server adjusts the accounting value information based on the impairment margin information to obtain adjusted value information. Specifically, the central server can adjust the accounting value information according to the formula... Adjusted value information = Accounting value information × (1 - Impairment margin information) (1) The adjusted value information is calculated.

[0036] In this embodiment, the adjusted value information obtained by executing steps S40201-S40203 is used as the asset information of the physical asset.

[0037] In this embodiment, by executing steps S40201-S40203, electronic tags can be bound to physical assets, thereby enabling the detection of the characteristics of the asset's operating parameter information. Since the asset's operating parameter information represents the asset's actual environment and working status, it is related to the rate of asset value depreciation. By adjusting the asset's accounting value information based on the asset's operating parameter information, the obtained adjusted value information can more closely approximate the asset's objective actual value. This improves the shortcomings of the asset management accounting system in disconnecting the asset's value management from its actual use, and provides information support for the standardized management of physical assets.

[0038] In this embodiment, when the central server executes step S5, which is the step of visually displaying the asset information based on the location information, it can specifically perform the following steps: S501. Run the geographic information system; S502. Based on the location information, load the asset information into the electronic map of the geographic information system for point display.

[0039] In step S501, the main server can run a Geographic Information System (GIS), thereby enabling loading... Figure 3 The electronic map shown. In this embodiment, Figure 3 The electronic map in the image is for illustrative purposes only. Its boundaries and internal area divisions are fictitious and do not correspond to any real-world boundaries or area divisions.

[0040] In step S502, refer to Figure 3 The central server can cluster the asset information and then load it onto an electronic map in the geographic information system for point-based display. Specifically, the central server can determine the specific location of the power grid company corresponding to the asset information (such as branch office buildings, substations, distribution rooms, switch rooms, etc.) based on the location information uploaded along with the electronic tags of the asset information, and cluster the asset information (adjusted value information) belonging to the same office location into one category.

[0041] In step S502, refer to Figure 3 The central server can take office locations as units. For any given office location, it can calculate and sum all the asset information (adjusted value information) gathered at that office location to obtain the total assets corresponding to that office location. The location of the office location and its corresponding total assets are marked on the electronic map by icons, thereby realizing the visualization of each asset information.

[0042] In this embodiment, when the main server executes step S502, it can also detect the asset attributes of each specific location, i.e., the office space, and then display them visually. For example, refer to... Figure 3 The central server can identify assets that use "depreciation margin information = 0" when calculating the adjusted value information according to formula (1) as normal assets, assets that use "depreciation margin information = 30%" when calculating the adjusted value information according to formula (1) as high-risk assets, and assets that use "depreciation margin information = 50%" when calculating the adjusted value information according to formula (1) as abnormal assets. For any specific location on the electronic map, i.e., an office space, if all assets contained in this office space are normal assets, the central server generates a green icon for this office space; if there are high-risk assets (but no abnormal assets) among all assets contained in this office space, the central server generates a yellow icon for this office space; if there are abnormal assets among all assets contained in this office space, the central server generates a red icon for this office space. (Refer to...) Figure 3It can intuitively display the asset attributes of each specific location, i.e., the office space, such as whether there are special circumstances such as high-risk assets or abnormal assets. This is conducive to timely handling of these special circumstances, ensuring the objectivity of asset management. At the same time, because it can timely handle high-risk assets or abnormal assets, it helps to prevent these special assets from being put into production and operation and causing harm to production safety and power supply safety.

[0043] In this embodiment, refer to Figure 4 In addition to executing steps S1-S5, the main server can also execute the following steps: S6. Based on the location information and asset information, determine the asset value density of each location in the electronic map; S7. Monitor each physical asset based on the asset value density of each location.

[0044] In step S6, refer to Figure 3 Each asset information has been clustered into a corresponding office location on the electronic map based on its location information. Since each office location has a certain area and corresponds to a certain total asset, for any office location, the quotient of the total asset corresponding to the office location and its corresponding area can be calculated to determine the asset value density corresponding to the office location, that is, the sum of the asset information (adjusted value information) of the physical assets per square meter in the office location.

[0045] Meanwhile, since the locations of each office space are multiple discrete locations within the entire electronic map, the asset value density of each of these discrete locations is determined. In this embodiment, two-dimensional interpolation can be performed based on the asset value density of these multiple discrete locations (i.e., office spaces) to determine the asset value density of each location within the electronic map. Specifically, in step S6, the interpolation process expands the asset value density of the specific multiple discrete locations to represent the asset value density of all locations within the entire electronic map.

[0046] In this embodiment, after processing in step S6, the asset value density of each location in the electronic map can be obtained. These asset value densities form a scalar field, such as... Figure 5 As shown, this scalar field can be represented by multiple asset value density isolines (in reality, there are countless asset value density isolines). Figure 5 It is a visual representation in the form of only showing a part of the text.

[0047] In this embodiment, when the central server executes step S7, which is to monitor each physical asset based on the asset value density at each location, it can specifically perform the following steps: S701. Perform gradient processing on the scalar field formed by the asset value density at each location to obtain gradient field information; S702. Identify the location points of abnormal assets based on gradient field information.

[0048] In step S701, for Figure 5 The scalar field formed by the asset value density at each location shown can be used to calculate its gradient, obtaining the gradient vectors for each location on the electronic map. These gradient vectors form a gradient field. For example... Figure 6 As shown, the gradient vector at each location (there are actually infinitely many gradient vectors) Figure 6 The direction of the gradient vector (which only represents a part of the image) is perpendicular to the contour lines of asset value density at the same location, and the magnitude of the gradient vector is proportional to the interval between the contour lines of asset value density at the same location.

[0049] In this embodiment, since steps S3-S5 are performed at a specific sampling time, i.e., t1, as an example, the results obtained from steps S6-S7 are as follows: Figure 6 The gradient field information shown is also the gradient field information corresponding to a specific sampling time, t1. This gradient field information not only represents the asset value density of each location on the electronic map, but also the relationship between the asset value densities of adjacent locations on the electronic map. Under normal circumstances, the asset value of physical assets at each location (e.g., office space) changes due to depreciation and normal wear and tear, resulting in changes in asset information. The changes at each location are stable, that is, they change over time. Figure 6 The gradient field information shown remains stable; however, in special circumstances, such as abnormal damage to physical assets in certain locations causing excessive changes in asset information, the gradient field information will change over time.

[0050] Based on the above principle, in this embodiment, the change of gradient field information over time can be tracked. For example, steps S3-S7 are executed at sampling time t1 to obtain... Figure 6 The gradient field information shown gradient ( x , y ,t1), where ( x , y () represents the coordinates in the electronic map. At sampling time t1, steps S3-S7 are executed to obtain the gradient field information. gradient ( x , y At sampling time t3, steps S3-S7 are executed to obtain gradient field information. gradient ( x , y ,t3)…… When the main server executes step S702, which is to identify the abnormal asset warning location point based on the gradient field information, it can specifically perform the following steps: S70201. Obtain the first-order difference of the gradient field information with respect to time to obtain the gradient difference field information; S70202. Identify the location points corresponding to vectors with amplitudes greater than the threshold in the gradient difference field information as abnormal asset warning location points.

[0051] In step S70201, the central server calculates the first-order difference between the gradient field information corresponding to each sampling time and the gradient field information corresponding to the previous sampling time, thereby obtaining the gradient difference field information corresponding to this sampling time. For example, the central server calculates the gradient field information corresponding to sampling time t2. gradient ( x , y The gradient field information corresponding to sampling time t1 (t2) and t2) gradient ( x , y The difference between t1 and t2 is used to obtain the gradient difference field information Δ(t1) at sampling time t2. x , y ,t2), that is Δ( x , y ,t2)= gradient ( x , y ,t2)- gradient ( x , y ,t1) Similarly, the main server calculates the gradient field information corresponding to sampling time t3. gradient ( x , y Gradient field information corresponding to sampling time t2 (t3) and t2 gradient ( x , y The difference between t2 and t3 is used to obtain the gradient difference field information Δ(t3) at sampling time t3. x , y ,t3), that is Δ( x , y ,t3)= gradient ( x , y ,t3)- gradient ( x , y ,t2) Based on the same principle, the main server can calculate the gradient difference field information corresponding to other sampling times.

[0052] In step S70202, the gradient difference field information Δ( corresponding to sampling time t2) is used. x , y Taking t2 as an example, the total server calculates the gradient difference field information Δ( x , y The amplitude corresponding to t2)|Δ( x , y ,t2)|, and detect that |Δ( x , y ,t2)| is greater than the threshold (e.g.,|Δ( x , y The location point (t2) is the average of all values ​​of 136%. x , y )=( x 0, y 0), ( x 0, y 0) is the point where the asset information changes excessively. In this embodiment, if ( x 0, y 0) indicates a location on the electronic map that is not a specific location such as an office building; the central server can transmit the distance ( x 0, y 0) The nearest office or other specific location is identified as an abnormal asset warning location.

[0053] In this embodiment, the central server determines the location of the abnormal asset warning ( x 0, y After 0), we can determine the value based on |Δ( x , y The magnitude of t2)| determines the warning level. Specifically, when ( x , y )=( x 0, y When 0) |Δ( x , y The larger the value of t2), the higher the warning level is determined, and the warning information corresponding to the warning level is generated and sent to the corresponding level of organization. For example, when the warning level is the highest level, the central server sends the warning information to the group company; when the warning level is the second highest level, the central server sends the warning information to the provincial branch; when the warning level is the medium level, the central server sends the warning information to the municipal branch; and when the warning level is the lowest level, the central server sends the warning information to the county branch.

[0054] In this embodiment, by executing steps S6-S7, the status of physical assets can be tracked even when the enterprise is large in scale and the physical assets are widely distributed. This is conducive to timely detection of abnormal asset warning points with abnormal changes in asset information, and timely issuance of warning information to effectively deal with the physical assets with abnormal changes. This helps to avoid using abnormal physical assets in production and ensures the safety of the enterprise's asset value and production use.

[0055] This embodiment provides a method for full lifecycle management of office assets based on IoT and visualization technologies, including: constructing an asset distribution map based on GIS, achieving rapid inventory through RFID smart inventory, automatically triggering a change process after inventory completion, constructing a single map of temporary housing distribution, and realizing full-process management of low-value consumables and dual-end management of potential housing hazards. Specifically, the following steps can be performed: Step 1: The system extracts attribute data for all office assets from the asset ledger, including asset code, name, type, address, latitude and longitude coordinates, department using the asset, and user. Based on a GIS engine, the asset data is displayed as dots on a map according to latitude and longitude coordinates, with different asset types distinguished by different colors and icons. Users can filter assets at specific levels through an organizational tree; the map automatically zooms to the corresponding area and displays all assets at that level.

[0056] Step 2: Use a visual flowchart to show the complete lifecycle path of assets from registration, modification, transfer to scrapping. Each node displays the quantity, value, and status statistics of assets at that stage. The dashboard area displays key asset indicators in real time, including total assets, original value, net value, idle rate, and scrapping rate. Abnormal indicators are highlighted in red.

[0057] Step 3: The asset administrator creates an inventory task in the system, selects the inventory scope, and assigns inventory personnel. Upon arrival at the site, the inventory personnel open the mobile inventory application, which automatically records their GPS location for check-in. The personnel use an RFID reader to scan asset tags; the system automatically identifies the assets and displays their information. During the inventory process, photos can be taken of the assets on-site, and these photos are automatically linked to the corresponding asset records.

[0058] Step 4: After all assets are scanned, the system automatically compares the inventory results with the ledger data. Assets listed in the ledger but not scanned are marked as inventory shortages; assets scanned but not listed in the ledger are marked as inventory surpluses; and assets whose status differs from the ledger are marked as status discrepancies. The system automatically generates corresponding business documents based on the type of discrepancy: inventory shortages generate a scrap application form, inventory surpluses generate an asset registration application form, and changes in storage location generate a transfer order, automatically triggering the approval process.

[0059] Step 5: The system maintains the GIS location information of all temporary housing units, creating a map showing their distribution. After an employee submits a temporary housing application, the system automatically adds them to a queue based on their points. When a unit becomes available, the system automatically recommends candidates according to the queue order. The system automatically calculates fees monthly, generates bills, and sends them to the user. A eviction warning is automatically issued before the contract expires.

[0060] Step 6: Assign unique codes and tags to key low-value consumables. When employees collect these items, they automatically register the collection information by scanning the tags. The system automatically generates inventory tasks at preset intervals and pushes them to the asset administrator, automatically calculates the consistency rate between accounts and physical inventory, and issues warnings for categories that fall below the control target.

[0061] Step 7: Build a complete hazard management system (registration, assessment, rectification, and acceptance) on the intranet, and simultaneously build a lightweight application on the external network to support quick access and operation by third-party operators via the internet. Automatically assess the hazard level based on its severity and impact, and recommend corresponding response timelines.

[0062] By executing steps 1-7, a multi-level asset distribution map is constructed based on GIS technology. The distribution of various office assets is displayed hierarchically on the map according to the organizational structure, supporting drill-down from an overall overview to individual asset details. The entire lifecycle path of assets, from registration, modification, allocation to disposal, and statistical information at each stage are presented in a visual flowchart format. Key asset indicators are displayed in real time through a dashboard, and abnormal assets are identified and alerted. RFID tags are bound to office assets, and assets are identified by scanning RFID tags using a mobile inventory application. Multi-person collaborative inventory, GPS location check-in, and on-site photo evidence collection are supported. After inventory is completed, the inventory results are automatically compared with the ledger data to generate a discrepancy report, and the corresponding asset change process is automatically triggered based on the type of discrepancy. A unified GIS distribution map of temporary housing is constructed, an allocation queuing mechanism is established, usage fees are automatically calculated and invoices are generated, and eviction warnings are automatically issued for expiring usage contracts.

[0063] Specifically, the binding and scanning of RFID tags includes: binding each office asset with an RFID electronic tag that stores the asset code, name, type, department, and purchase date; inventory personnel use an RFID reader or an NFC-enabled mobile device to scan the tag to automatically identify the asset information; during the inventory process, GPS location records are supported as evidence of the authenticity of the inventory, and on-site photos are supported and automatically linked to the corresponding asset records.

[0064] Specifically, the automatic generation of discrepancy reports and triggering of asset change processes include: the system automatically compares the inventory results with the ledger data in multiple dimensions to identify differences in asset existence, status, and attributes; automatically generates scrapping applications for inventory shortages, automatically generates asset registration applications for inventory surpluses, and automatically generates information change orders for status differences.

[0065] Specifically, in addition to steps 1-7, the following steps can also be performed: assign a unique code to key low-value consumables and affix barcode or RFID tags to achieve closed-loop management of the entire process from procurement and warehousing, issuance and usage tracking to disposal, automatically calculate the consistency rate of accounts and physical goods for various low-value consumables and issue warnings for categories that are lower than the control target.

[0066] Specifically, in addition to steps 1-7, the following steps can also be performed: build a complete building hazard management function on the intranet and build a lightweight application on the extranet to support third-party operators to access via the Internet; automatically assess the hazard level based on the severity and scope of the hazard and recommend corresponding handling time limits; set maintenance cycles for non-production equipment and appliances and automatically generate maintenance reminders.

[0067] This embodiment provides an office asset lifecycle management system based on Internet of Things (IoT) and visualization technology, which includes: The asset visualization module is used to build multi-level asset distribution maps based on GIS technology, and to display the status of assets throughout their entire life cycle through visual flowcharts and dashboards. The intelligent inventory module is used to identify assets by scanning RFID tags through a mobile inventory application, and supports multi-person collaborative inventory, GPS location check-in, and on-site photo evidence collection. The discrepancy processing module is used to automatically compare and generate a discrepancy report and trigger the asset change process after the inventory is completed. The temporary housing management module is used to build a GIS distribution map of temporary housing, establish an allocation queuing mechanism and an early warning system for eviction. The low-value consumables management module is used to assign unique codes to key low-value consumables to achieve closed-loop management throughout the entire process. The hazard management module is used to build hazard management applications on both the intranet and the extranet, automatically assessing hazard levels and recommending response time limits.

[0068] The office asset lifecycle management method provided in this embodiment, based on IoT and visualization technology, enables management to intuitively grasp the panoramic distribution and status of office assets through GIS visualization technology; it significantly improves inventory efficiency through RFID intelligent inventory, and realizes closed-loop management of inventory-difference-change by combining an automatic change triggering mechanism for discrepancies; and it enhances the level of refined management of office assets through a single map of temporary housing and full-process management of low-value consumables.

[0069] A computer program that executes the enterprise asset management method described in this embodiment can be written into [the system / platform]. Figure 6When the computer program is read and run in the computer device or storage medium shown, the enterprise asset management method and / or enterprise asset management method in this embodiment are executed, thereby achieving the same technical effect as the enterprise asset management method and / or enterprise asset management method in the embodiment.

[0070] It should be noted that, unless otherwise specified, when a feature is referred to as "fixed" or "connected" to another feature, it can be directly fixed or connected to the other feature, or indirectly fixed or connected to the other feature. Furthermore, the descriptions of "upper," "lower," "left," and "right" used in this disclosure are only relative to the relative positional relationships of the components of this disclosure in the accompanying drawings. The singular forms "a" and "the" used in this disclosure are also intended to include the plural forms, unless the context clearly indicates otherwise. Moreover, unless otherwise defined, all technical and scientific terms used in this embodiment have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in this embodiment specification is only for describing particular embodiments and is not intended to limit the invention. The term "and / or" as used in this embodiment includes any combination of one or more of the associated listed items.

[0071] It should be understood that although various elements may be described in this disclosure using terms such as "second," "third," etc., these elements should not be limited to these terms. These terms are used only to distinguish elements of the same type from one another. For example, an element may also be referred to as a second element without departing from the scope of this disclosure, and similarly, a second element may also be referred to as an element. The use of any and all instances or exemplary language ("e.g.," "such as," etc.) provided in this embodiment is intended only to better illustrate embodiments of the invention and, unless otherwise required, does not impose a limitation on the scope of the invention.

[0072] It should be recognized that embodiments of the present invention can be implemented or carried out by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer-readable storage medium. The method can be implemented using standard programming techniques—including a non-transitory computer-readable storage medium configured with a computer program, wherein such a storage medium causes the computer to operate in a specific and predefined manner—according to the methods and drawings described in the specific embodiments. Each program can be implemented in a high-level procedural or object-oriented programming language to communicate with the computer system. However, if desired, the program can be implemented in assembly or machine language. In any case, the language can be a compiled or interpreted language. Furthermore, for this purpose, the program can run on a programmed application-specific integrated circuit (ASIC).

[0073] Furthermore, the procedures described in this embodiment can be performed in any suitable order unless otherwise indicated by this embodiment or otherwise obviously contradict the context. The procedures (or variations and / or combinations thereof) described in this embodiment can be executed under the control of one or more computer systems configured with executable instructions, and can be implemented by hardware or a combination thereof as code (e.g., executable instructions, one or more computer programs, or one or more applications) that commonly executes on one or more processors. A computer program includes a plurality of instructions executable by one or more processors.

[0074] Furthermore, the method can be implemented in any suitable type of computing platform, including but not limited to personal computers, minicomputers, mainframes, workstations, networked or distributed computing environments, standalone or integrated computer platforms, or in communication with charged particle tools or other imaging devices, etc. Aspects of the invention can be implemented as machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optical read and / or write storage medium, RAM, ROM, etc., such that it is readable by a programmable computer, and when the storage medium or device is read by the computer, it can be used to configure and operate the computer to perform the processes described herein. Furthermore, the machine-readable code, or portions thereof, can be transmitted via wired or wireless networks. The invention of this embodiment includes these and other different types of non-transitory computer-readable storage media when such media comprises instructions or programs that implement the steps above in conjunction with a microprocessor or other data processor. When programmed according to the methods and techniques of the invention, the invention also includes the computer itself.

[0075] A computer program can be applied to input data to perform the functions of this embodiment, thereby transforming the input data to generate output data stored in non-volatile memory. The output information can also be applied to one or more output devices, such as a display. In a preferred embodiment of the invention, the transformed data represents physical and tangible objects, including a specific visual depiction of physical and tangible objects generated on the display.

[0076] The above are merely preferred embodiments of the present invention. The present invention is not limited to the above-described embodiments. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention, as long as they achieve the technical effects of the present invention by the same means, should be included within the scope of protection of the present invention. Within the scope of protection of the present invention, the technical solutions and / or implementation methods can have various modifications and variations.

Claims

1. A method for enterprise asset management, characterized in that, The enterprise asset management methods include: Electronic tags are assigned to multiple physical assets; the electronic tags have communication, positioning, and sensing functions. Establish a physical binding relationship between each of the aforementioned physical assets and the assigned electronic tags; Periodically traverse all the aforementioned electronic tags; For any of the electronic tags encountered in the traversal, the electronic tag is invoked to locate and obtain location information, and the electronic tag is invoked to sense the corresponding physical asset to obtain asset information; Based on the location information, the asset information is displayed visually.

2. The enterprise asset management method according to claim 1, characterized in that, The step of calling the electronic tag to sense the corresponding physical asset to obtain asset information includes: The electronic tag is invoked to detect the corresponding physical asset, and the working parameter information of the physical asset is obtained; Based on the aforementioned working parameter information, determine the adjusted value information of the physical asset; The adjusted value information is used as the asset information.

3. The enterprise asset management method according to claim 2, characterized in that, The step of determining the adjusted value information of the physical asset based on the working parameter information includes: Search the ledger data of the physical assets to obtain the accounting value information of the physical assets; Based on the aforementioned operating parameter information, determine the magnitude of the reduction; The accounting value information is adjusted based on the impairment margin information to obtain the adjusted value information.

4. The enterprise asset management method according to any one of claims 1-3, characterized in that, The step of visually displaying the asset information based on the location information includes: Running a geographic information system; Based on the location information, the asset information is loaded into the electronic map of the geographic information system for point-by-point display.

5. The enterprise asset management method according to claim 4, characterized in that, The enterprise asset management method also includes the following steps: Based on the location information and asset information, the asset value density of each location in the electronic map is determined; Based on the asset value density at each location, the physical assets are monitored.

6. The enterprise asset management method according to claim 5, characterized in that, The step of determining the asset value density of each location in the electronic map based on the location information and asset information includes: Traverse all the asset information, and for any asset information, determine the office location to which the asset information belongs based on the location information corresponding to the asset information; Traverse all the office locations, and for any given office location, determine the asset value density of the office location based on its area information and all the corresponding asset information. Based on the location of each of the aforementioned office locations in the electronic map, the asset value density of discrete locations in the electronic map is determined; The asset value density of each location in the electronic map is determined by interpolation based on the asset value density of the discrete locations.

7. The enterprise asset management method according to claim 5, characterized in that, The monitoring of each physical asset based on the asset value density at each location includes: The gradient of the scalar field formed by the asset value density at each location is calculated to obtain gradient field information; Based on the gradient field information, identify the location points of abnormal asset warnings.

8. The enterprise asset management method according to claim 7, characterized in that, The step of identifying abnormal asset warning locations based on the gradient field information includes: Obtain the first-order difference of the gradient field information with respect to time to obtain the gradient difference field information; The location points corresponding to vectors with amplitudes greater than a threshold in the gradient difference field information are identified as the abnormal asset warning location points.

9. A computer device, characterized in that, It includes a memory and a processor, the memory being used to store at least one program, and the processor being used to load at least one program to execute the enterprise asset management method according to any one of claims 1-8.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the enterprise asset management method according to any one of claims 1-8.

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