CN112632937A - Scrap list generation method and device, storage medium and electronic equipment - Google Patents
Scrap list generation method and device, storage medium and electronic equipment Download PDFInfo
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Abstract
The application belongs to the technical field of data processing, and particularly relates to a scrap list generation method and device, a storage medium and electronic equipment. The method comprises the following steps: the method comprises the steps of firstly obtaining asset equipment information, wherein the asset equipment information comprises time information of asset equipment, then obtaining an operation and maintenance list of the asset equipment according to the time information, and finally generating a scrapped list according to the operation and maintenance list and a preset planned scrapped list. The method comprises the steps of obtaining an asset operation and maintenance list by obtaining time information of asset equipment, and automatically generating a final scrapping list according to a preset planned scrapping list so as to solve the technical problem of operation risk brought to an enterprise by the fact that the scrapping condition of the asset equipment is not systematically planned in the prior art.
Description
Technical Field
The application belongs to the technical field of data processing, and particularly relates to a scrap list generation method and device, a storage medium and electronic equipment.
Background
In some enterprises with intensive asset equipment, such as power grid enterprises, when retirement scrapping of asset equipment is not systematically planned due to large operation of asset equipment, huge challenges and great risks are brought to the operation of the enterprises due to scrapping of the large amount of asset equipment.
Content of application
The embodiment of the application provides a scrap list generation method, a scrap list generation device, a scrap list generation storage medium and electronic equipment, and aims to solve the technical problem of investment risk caused by intensive asset equipment and no systematic planned retirement scrap.
The first aspect of the embodiment of the present application provides a method for generating a scrap list, which is applied to an asset equipment system, and the method includes:
acquiring asset equipment information, wherein the asset equipment information comprises time information of asset equipment;
acquiring an operation and maintenance list of the asset equipment according to the time information;
and generating a scrap list according to the operation and maintenance list and a preset planned scrap list.
Optionally, the time information includes: the operation age limit, depreciation age limit and technical improvement age limit;
correspondingly, the acquiring asset device information, where the asset device information includes time information of an asset device, includes:
calling an asset equipment category in the asset equipment information;
and acquiring the operation age, depreciation age and technical improvement age of the asset equipment according to the asset equipment category.
Optionally, the obtaining the operation and maintenance list of the asset device according to the time information includes:
acquiring an overdue asset list according to the depreciation age limit;
and inputting the overdue asset list into a predefined operation and maintenance model, and acquiring an operation and maintenance list of the asset equipment, wherein the operation and maintenance model is constructed through the operation age and a preset risk coefficient and is used for outputting a corresponding operation and maintenance list according to the overdue asset.
Optionally, the method includes generating a scrap list according to the operation and maintenance list and a preset planned scrap list, where the method includes:
calculating the target asset scrapping net value rate according to a preset planned scrapping list;
calculating the current asset scrappage net value rate according to the operation and maintenance list;
comparing the target asset scrapping net value rate with the current asset scrapping net value rate to obtain a comparison result;
and determining the scrap list according to the comparison result.
Optionally, the comparison result comprises a first comparison result and a second comparison result;
the first comparison result corresponds to that the target asset scrapping net value rate is equal to the current asset scrapping net value rate or the adjustable asset equipment library is empty;
and the second comparison result corresponds to that the target asset scrapping net value rate is not equal to the current asset scrapping net value rate or that the adjustable asset equipment library is not empty.
Optionally, the second comparison result corresponds to that the target asset end of life rate is not equal to the current asset end of life rate or that the adjustable asset equipment library is not empty;
correspondingly, the determining the scrap list according to the comparison result comprises:
when the target asset disability net worth rate is smaller than the current asset disability net worth rate, according to the sequence of a pre-configured priority list, one asset device in an overdue asset list is called and added into a planned disability list to obtain a new planned disability list, and the new planned disability list is updated to the planned disability list of the old version;
and when the target asset scrapping net value rate is smaller than the current asset scrapping net value rate, removing one asset device of the current planned scrapping list according to the reverse order of the pre-configured priority list to obtain a new planned scrapping list, and updating the new planned scrapping list with the old version of the planned scrapping list.
Optionally, the time information further includes a peak year of the asset device;
correspondingly, the method further comprises the following steps:
and acquiring a key operation and maintenance list of the asset equipment according to the peak year of the asset equipment.
A second aspect of the embodiments of the present application provides an apparatus for generating a scrap list, including:
the system comprises a first acquisition module, a second acquisition module and a first display module, wherein the first acquisition module is used for acquiring asset equipment information, and the asset equipment information comprises time information of asset equipment;
the second acquisition module is used for acquiring the operation and maintenance list of the asset equipment according to the time information;
and the generating module is used for generating a scrap list according to the operation and maintenance list and a preset planned scrap list.
A third aspect of the embodiments of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements a scrap list generating method as described above when executing the computer program.
A fourth aspect of the present embodiments provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the steps of a scrap list generating method as described above.
A fifth aspect of embodiments of the present application provides a computer program product, which, when running on a terminal device, enables the terminal device to execute the method for generating a scrap list provided in the first aspect of embodiments of the present application.
Compared with the prior art, the implementation mode of the invention has the following beneficial effects: the method comprises the steps of firstly obtaining asset equipment information, wherein the asset equipment information comprises time information of asset equipment, then obtaining an operation and maintenance list of the asset equipment according to the time information, and finally generating a scrapped list according to the operation and maintenance list and a preset planned scrapped list. The method comprises the steps of obtaining an asset operation and maintenance list by obtaining time information of asset equipment, and automatically generating a final scrapping list according to a preset planned scrapping list so as to solve the technical problem of operation risk brought to an enterprise by the fact that the scrapping condition of the asset equipment is not systematically planned in the prior art.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor.
Fig. 1 is a schematic flowchart of a first implementation process of a method for generating a scrap list according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a second implementation process of a method for generating a scrap list according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a scrap list generating apparatus according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
It is also to be understood that the terminology used in the description of the present application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of the present application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be understood that the order of writing each step in this embodiment does not mean the order of execution, and the order of execution of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of this embodiment.
Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.
In order to explain the technical means described in the present application, the following description will be given by way of specific embodiments.
Referring to fig. 1, it is a flowchart of a first implementation procedure of a method for generating a scrap list according to an embodiment of the present application, and for convenience of description, only a part related to the embodiment of the present application is shown.
A preferred embodiment of the present disclosure may be a method for generating the scrap list, where the method includes:
s101, acquiring asset equipment information, wherein the asset equipment information comprises time information of asset equipment.
In the embodiment of the present application, the asset device information refers to a current device parameter composed of the asset device according to the commissioning time and the device parameter itself. The asset equipment information can be used for judging the retirement age of the asset equipment and the current specific operation condition, and a user can regulate and control the overall operation according to the asset equipment information of the current asset equipment so that the asset equipment system can operate smoothly.
Wherein the asset device information may include time information of the asset device. The time information refers to all parameters of the asset equipment related to the running time and time parameters corresponding to the service life of the equipment. In some possible implementation scenarios, the time parameters include, but are not limited to, operational age, depreciation age, technical improvement age, and the like.
In some possible embodiments, the time information comprises: the operation age limit, depreciation age limit and technical improvement age limit;
correspondingly, the acquiring asset device information, where the asset device information includes time information of an asset device, includes:
s201: calling an asset equipment category in the asset equipment information;
the asset device category refers to a type of the asset device corresponding to the field, for example, the asset category corresponding to the power grid enterprise may include a power transmission line, a circuit breaker, a main transformer, a current transformer, a voltage transformer, a high-voltage cabinet, an open-type disconnecting switch, a distribution transformer, a distribution line, and the like. The asset classes are defined in the asset equipment system by a user in advance, and the user can automatically add and delete the classes of the asset equipment in the asset equipment system according to actual requirements.
S202: and acquiring the operation age, depreciation age and technical improvement age of the asset equipment according to the asset equipment category.
The asset equipment category is pre-stored in the asset equipment system, the operation age, depreciation age, technical improvement age and the like of the asset equipment are in corresponding relation with the asset equipment, and when the asset equipment system receives and acquires the operation age, depreciation age and technical improvement age of the corresponding asset equipment, the corresponding relation list of the operation age, depreciation age, technical improvement age and the asset category thereof is called, so that the operation age, depreciation age and technical improvement age of the asset equipment can be acquired.
In some other possible embodiments, the asset equipment system may further derive the planned retirement curve for each asset class in a preset future age by shifting the commissioning year according to the operating age, depreciation age, and technical improvement age of each asset class, so as to form an enterprise value (technical or physical) asset wall. And the user is supported to deduce a future enterprise stock asset retirement curve according to the technical improvement age limit and the depreciation age limit. And forming an integral stacked asset wall of the enterprise by combining the historical commissioning stacked curve, reflecting the centralized retirement pressure condition of stock assets, and helping a manager to rapidly master the long-term development situation and risk condition of the enterprise assets.
S102: and acquiring the operation and maintenance list of the asset equipment according to the time information.
In this embodiment of the present application, the operation and maintenance list of the asset device refers to a list corresponding to the original asset value and the net asset value of the asset device, and the operation and maintenance list may be used to calculate the net scrap rate of the asset device. And the asset equipment system inputs the time information of the asset equipment into a predefined judgment model according to the time information of the asset equipment and outputs an operation and maintenance list corresponding to the asset equipment.
In some possible embodiments, the obtaining the operation and maintenance list of the asset device according to the time information includes:
acquiring an overdue asset list according to the depreciation age limit;
and inputting the overdue asset list into a predefined operation and maintenance model, and acquiring an operation and maintenance list of the asset equipment, wherein the operation and maintenance model is constructed through the operation age and a preset risk coefficient and is used for outputting a corresponding operation and maintenance list according to the overdue asset.
The asset equipment system determines a risk coefficient according to the evaluation result and the evaluation result according to the development state and importance evaluation of main asset equipment, and further constructs an asset operation and maintenance model according to operation and maintenance strategy quadrant threshold parameters (the operated period and the control level) set by a user for different asset types by combining the service life of the asset equipment (the difference between the operation date of the asset equipment and the current time). After the asset device system obtains the depreciation age of the asset device, the depreciation age can be input into a pre-constructed asset operation and maintenance model to obtain an operation and maintenance list of the asset device.
Wherein, the operation age refers to the difference between the current date and the commissioning date, and the risk coefficient is determined according to the asset equipment evaluation result. The asset operation and maintenance model can be displayed in a coordinate map mode, the abscissa is the operation period, the ordinate is the risk coefficient, and then an operation and maintenance list is determined according to the position of asset equipment in the coordinate map.
In some possible implementation embodiments, the asset equipment system further dynamically sorts the value, the importance, the operation and maintenance level and the service life of the asset equipment in multiple dimensions (sorting priority: value > importance > operation and maintenance level > service life), forms an asset scrapping priority model, brings overdue assets meeting the prior scrapping into an overdue asset scrapping conditioner pool, so as to support and meet the scrapping planning corresponding retired scrapping requirements, and generates a corresponding relationship list.
S103: and generating a scrap list according to the operation and maintenance list and a preset planned scrap list.
In this embodiment, the planned scrapping list refers to a list of preset years calculated in the asset equipment system in advance according to the estimated original value and net value of the asset, and the planned scrapping list is used for calculating and adjusting the operation and maintenance list to generate final scrapping.
In some possible embodiments, the method includes generating an end-of-life list according to the operation and maintenance list and a pre-configured planned end-of-life list, and includes:
calculating the target asset scrapping net value rate according to a preset planned scrapping list;
calculating the current asset scrappage net value rate according to the operation and maintenance list;
comparing the target asset scrapping net value rate with the current asset scrapping net value rate to obtain a comparison result;
and determining the scrap list according to the comparison result.
After the asset equipment system obtains the preset planned scrap list, calculating the planned scrap list to obtain the target net scrap rate in the planned scrap list. The target net rate of scrapping can be used as a parameter for checking and managing the asset equipment system. And after the asset equipment system acquires the operation and maintenance list, calculating the operation and maintenance list to acquire the current asset scrapping net value rate corresponding to the operation and maintenance list. And the current net asset rejection rate can be used as a load parameter of the current asset equipment system. Then, the asset equipment system compares the target asset scrapping net value rate with the current asset scrapping net value rate to obtain a comparison result, and determines the scrapping list according to the comparison result. The scrappage list can be used as a regulation and control basis of the current asset equipment system.
Specifically, the comparison result comprises a first comparison result and a second comparison result;
the first comparison result corresponds to that the target asset scrapping net value rate is equal to the current asset scrapping net value rate or the adjustable asset equipment library is empty;
and the second comparison result corresponds to that the target asset scrapping net value rate is not equal to the current asset scrapping net value rate or that the adjustable asset equipment library is not empty.
In some possible embodiments, the second comparison result corresponds to that the target net asset discard rate is not equal to the current net asset discard rate or that the dispatchable asset equipment library is not empty;
correspondingly, the determining the scrap list according to the comparison result comprises:
when the target asset disability net worth rate is smaller than the current asset disability net worth rate, according to the sequence of a pre-configured priority list, one asset device in an overdue asset list is called and added into a planned disability list to obtain a new planned disability list, and the new planned disability list is updated to the planned disability list of the old version;
and when the target asset scrapping net value rate is smaller than the current asset scrapping net value rate, removing one asset device of the current planned scrapping list according to the reverse order of the pre-configured priority list to obtain a new planned scrapping list, and updating the new planned scrapping list with the old version of the planned scrapping list.
In some other possible embodiments, the time information further includes a peak year of the asset device;
correspondingly, the method further comprises the following steps:
and acquiring an extended operation and maintenance list of the asset equipment according to the peak year of the asset equipment.
In this embodiment of the present application, after the asset device system obtains the peak year of the asset device, the peak year is input into the pre-constructed asset operation and maintenance model to obtain an important operation and maintenance list of the asset device. The asset operation and maintenance model carries out asset wall prediction and smoothing calculation according to different unit levels and different asset types, smoothing operation is carried out according to basic parameter configuration (such as asset operation and maintenance delay age N, early investment age and the like) by using asset technical quantity (taking a main network transformer as an example, the technical quantity is a capacity unit), smoothing processing is carried out on a future preset age retirement curve of a certain class of assets by using a local smoothing algorithm, meanwhile, the problem that peak year asset equipment needs to meet the technical limit of operation and maintenance delay is considered, and the total amount of asset operable and maintenance delay is judged according to asset states and is used as the condition constraint of asset wall smoothing. And (3) carrying out 'peak elimination valley filling' (dividing peak areas in the curve into valley areas) balance operation in a circulating and iterative manner until a 'smooth target' (such as peak number, peak ratio, average change rate and the like) is reached, and automatically generating conclusion information of the class of asset retirement curve smoothing strategy suggestion according to the smoothed retirement curve data, such as 'suggestion of prolonging the service life of power transmission line technical transformation of 2005 operation by 2 years and service life of power transmission line technical transformation of 2006 by 1 year'.
Compared with the prior art, the implementation mode of the invention has the following beneficial effects: the method comprises the steps of firstly obtaining asset equipment information, wherein the asset equipment information comprises time information of asset equipment, then obtaining an operation and maintenance list of the asset equipment according to the time information, and finally generating a scrapped list according to the operation and maintenance list and a preset planned scrapped list. The method comprises the steps of obtaining an asset operation and maintenance list by obtaining time information of asset equipment, and automatically generating a final scrapping list according to a preset planned scrapping list so as to solve the technical problem of operation risk brought to an enterprise by the fact that the scrapping condition of the asset equipment is not systematically planned in the prior art.
Fig. 3 shows a block diagram of a scrap list generating apparatus provided in an embodiment of the present application, and for convenience of description, only the parts related to the embodiment of the present application are shown.
Referring to fig. 3, an apparatus 300 for generating a discard list, the apparatus 300 comprising:
a first obtaining module 301, configured to obtain asset device information, where the asset device information includes time information of an asset device;
a second obtaining module 302, configured to obtain an operation and maintenance list of the asset device according to the time information;
and the generating module is used for generating a scrap list according to the operation and maintenance list and a preset planned scrap list.
Optionally, an operational age, depreciation age, technical improvement age;
correspondingly, the first obtaining module 301 includes:
calling an asset equipment category in the asset equipment information;
and acquiring the operation age, depreciation age and technical improvement age of the asset equipment according to the asset equipment category.
Optionally, the second obtaining module is configured to:
acquiring an overdue asset list according to the depreciation age limit;
and inputting the overdue asset list into a predefined operation and maintenance model, and acquiring an operation and maintenance list of the asset equipment, wherein the operation and maintenance model is constructed through the operation age and a preset risk coefficient and is used for outputting a corresponding operation and maintenance list according to the overdue asset.
Optionally, the generating module 303 is configured to:
calculating the target asset scrapping net value rate according to a preset planned scrapping list;
calculating the current asset scrappage net value rate according to the operation and maintenance list;
comparing the target asset scrapping net value rate with the current asset scrapping net value rate to obtain a comparison result;
and determining the scrap list according to the comparison result.
Optionally, the comparison result comprises a first comparison result and a second comparison result;
the first comparison result corresponds to that the target asset scrapping net value rate is equal to the current asset scrapping net value rate or the adjustable asset equipment library is empty;
and the second comparison result corresponds to that the target asset scrapping net value rate is not equal to the current asset scrapping net value rate or that the adjustable asset equipment library is not empty.
Optionally, the second comparison result corresponds to that the target asset end of life rate is not equal to the current asset end of life rate or that the adjustable asset equipment library is not empty;
correspondingly, the determining the scrap list according to the comparison result comprises:
when the target asset disability net worth rate is smaller than the current asset disability net worth rate, according to the sequence of a pre-configured priority list, one asset device in an overdue asset list is called and added into a planned disability list to obtain a new planned disability list, and the new planned disability list is updated to the planned disability list of the old version;
and when the target asset scrapping net value rate is smaller than the current asset scrapping net value rate, removing one asset device of the current planned scrapping list according to the reverse order of the pre-configured priority list to obtain a new planned scrapping list, and updating the new planned scrapping list with the old version of the planned scrapping list.
Optionally, the time information further includes a peak year of the asset device;
correspondingly, the apparatus 300 further includes:
and the third acquisition module is used for acquiring a key operation and maintenance list of the asset equipment according to the peak year of the asset equipment.
It should be noted that, for the information interaction, execution process, and other contents between the above devices/modules, the specific functions and technical effects of the embodiment of the method for generating a scrap list according to the present application are based on the same concept, and specific reference may be made to the section of the embodiment of the method for generating a scrap list, which is not described herein again.
It is clear to those skilled in the art that, for convenience and simplicity of description, the above-mentioned division of the functional modules is merely used as an example, and in practical applications, the above-mentioned function distribution may be performed by different functional modules according to needs, that is, the internal structure of the scrap list generating apparatus 300 is divided into different functional modules to perform all or part of the above-mentioned functions. Each functional module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional modules are only used for distinguishing one functional module from another, and are not used for limiting the protection scope of the application. The specific working process of each functional module in the above description may refer to the corresponding process in the foregoing embodiment of the scrap list generation method, and is not described herein again.
Fig. 4 is a schematic structural diagram of an electronic device 400 according to a third embodiment of the present application. As shown in fig. 4, the electronic device 400 includes: a processor 402, a memory 401, and a computer program 403 stored in the memory 401 and executable on the processor 402. The number of the processors 402 is at least one, and fig. 4 takes one as an example. The processor 402 executes the computer program 403 to implement the steps of the method for generating a scrap list, i.e. the steps shown in fig. 1 or fig. 2.
The specific implementation process of the electronic device 400 can be seen in the above embodiment of the method for generating the scrap list.
Illustratively, the computer program 403 may be partitioned into one or more modules/units that are stored in the memory 401 and executed by the processor 402 to accomplish the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution process of the computer program 403 in the terminal device 400.
The electronic device 400 may be a desktop computer, a notebook, a palm computer, a main control device, or other computing devices, or may be a camera, a mobile phone, or other devices having an image acquisition function and a data processing function, or may be a touch display device. The electronic device 400 may include, but is not limited to, a processor and a memory. Those skilled in the art will appreciate that fig. 4 is merely an example of an electronic device 400 and does not constitute a limitation of electronic device 400 and may include more or fewer components than shown, or combine certain components, or different components, e.g., electronic device 400 may also include input-output devices, network access devices, buses, etc.
The Processor 402 may be a CPU (Central Processing Unit), other general-purpose Processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field-Programmable Gate Array), other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 401 may be an internal storage unit of the electronic device 400, such as a hard disk or a memory. The memory 401 may also be an external storage device of the terminal device 400, such as a plug-in hard disk, SMC (Smart Media Card), SD (Secure Digital Card), Flash Card, or the like provided on the electronic device 400. Further, the memory 401 may also include both an internal storage unit and an external storage device of the electronic device 400. The memory 401 is used for storing an operating system, application programs, a boot loader, data, and other programs, such as program codes of the computer program 403. The memory 401 may also be used to temporarily store data that has been output or is to be output.
An embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the steps in the above embodiment of the method for generating a scrap list may be implemented.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the embodiment of the method for automatically generating the scrap list may be completed by instructing the relevant hardware through a computer program, where the computer program may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the embodiment of the method for generating the scrap list may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to a photographing apparatus/terminal apparatus, a recording medium, computer Memory, ROM (Read-Only Memory), RAM (Random Access Memory), electrical carrier wave signal, telecommunication signal, and software distribution medium. Such as a usb-disk, a removable hard disk, a magnetic or optical disk, etc. In certain jurisdictions, computer-readable media may not be an electrical carrier signal or a telecommunications signal in accordance with legislative and patent practice.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (10)
1. A scrap list generation method is applied to an asset equipment system and is characterized by comprising the following steps:
acquiring asset equipment information, wherein the asset equipment information comprises time information of asset equipment;
acquiring an operation and maintenance list of the asset equipment according to the time information;
and generating a scrap list according to the operation and maintenance list and a preset planned scrap list.
2. The method of claim 1, wherein the time information comprises: the operation age limit, depreciation age limit and technical improvement age limit;
correspondingly, the acquiring asset device information, where the asset device information includes time information of an asset device, includes:
calling an asset equipment category in the asset equipment information;
and acquiring the operation age, depreciation age and technical improvement age of the asset equipment according to the asset equipment category.
3. The method of claim 2, wherein obtaining the operation and maintenance list of the asset device according to the time information comprises:
acquiring an overdue asset list according to the depreciation age limit;
and inputting the overdue asset list into a predefined operation and maintenance model, and acquiring an operation and maintenance list of the asset equipment, wherein the operation and maintenance model is constructed through the operation age and a preset risk coefficient and is used for outputting a corresponding operation and maintenance list according to the overdue asset.
4. The method of claim 3, wherein generating the scrap list according to the operation and maintenance list and a pre-configured planned scrap list comprises:
calculating the target asset scrapping net value rate according to a preset planned scrapping list;
calculating the current asset scrappage net value rate according to the operation and maintenance list;
comparing the target asset scrapping net value rate with the current asset scrapping net value rate to obtain a comparison result;
and determining the scrap list according to the comparison result.
5. The method of claim 4, wherein the alignment results comprise a first alignment result and a second alignment result;
the first comparison result corresponds to that the target asset scrapping net value rate is equal to the current asset scrapping net value rate or the adjustable asset equipment library is empty;
and the second comparison result corresponds to that the target asset scrapping net value rate is not equal to the current asset scrapping net value rate or that the adjustable asset equipment library is not empty.
6. The method of claim 5, wherein the second comparison result corresponds to whether the target net rate of asset scrappage is not equal to the current net rate of asset scrappage or the dispatchable asset equipment library is not empty;
correspondingly, the determining the scrap list according to the comparison result comprises:
when the target asset disability net worth rate is smaller than the current asset disability net worth rate, according to the sequence of a pre-configured priority list, one asset device in an overdue asset list is called and added into a planned disability list to obtain a new planned disability list, and the new planned disability list is updated to the planned disability list of the old version;
and when the target asset scrapping net value rate is smaller than the current asset scrapping net value rate, removing one asset device of the current planned scrapping list according to the reverse order of the pre-configured priority list to obtain a new planned scrapping list, and updating the new planned scrapping list with the old version of the planned scrapping list.
7. The method of any of claims 1-6, wherein the time information further includes a peak year of an asset device;
correspondingly, the method further comprises the following steps:
and acquiring a key operation and maintenance list of the asset equipment according to the peak year of the asset equipment.
8. An apparatus for generating a scrap list, the apparatus comprising:
the system comprises a first acquisition module, a second acquisition module and a first display module, wherein the first acquisition module is used for acquiring asset equipment information, and the asset equipment information comprises time information of asset equipment;
the second acquisition module is used for acquiring the operation and maintenance list of the asset equipment according to the time information;
and the generating module is used for generating a scrap list according to the operation and maintenance list and a preset planned scrap list.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by a processor, implements a method of generating a scrap list according to any one of claims 1-7.
10. An electronic device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement a scrap list generating method according to any one of claims 1 to 7.
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| CN202011606835.3A CN112632937A (en) | 2020-12-30 | 2020-12-30 | Scrap list generation method and device, storage medium and electronic equipment |
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