CN115391419A - Asset quality statistical method and device - Google Patents
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Abstract
The disclosure provides an asset quality statistical method and device. The method comprises the following steps: the asset quality display page is used for displaying a quality condition list of each asset; responding to the selection of the asset conditions, selecting assets meeting the asset conditions from the quality condition lists of the assets, and displaying the condition lists of the assets meeting the asset conditions; in response to selection of a field in the condition list, a statistical condition corresponding to the selected field is determined. According to the method and the device, the information of the vehicle assets can be automatically managed, the information of the vehicle assets can be classified and counted, the convenience of asset management is improved, the statistical information can be more easily understood and used by a user, and the efficiency of asset management is improved.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to an asset quality statistical method and apparatus.
Background
In the related art, management of assets such as vehicles and the like is more dependent on manual management, and management of information of vehicles is usually dependent on the existing database technology, office software and the like for management.
The information disclosed in this background section is only for enhancement of understanding of the general background of the application and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The embodiment of the disclosure provides an asset quality statistical method and device, which can automatically manage information of vehicle assets, can classify and count the information of the vehicle assets, improves convenience of asset management, enables statistical information to be easier to understand and use by users, and is beneficial to improving efficiency of asset management.
In a first aspect of the embodiments of the present disclosure, an asset quality statistical method is provided, including: displaying a quality condition list of each asset on an asset quality display page;
responding to the selection of the asset conditions, selecting assets meeting the asset conditions from the quality condition lists of the assets, and displaying the condition lists of the assets meeting the asset conditions;
in response to selection of a field in the condition list, a statistical condition corresponding to the selected field is determined.
According to an embodiment of the present disclosure, the asset condition includes a pay-by-date condition,
in response to the selection of the asset condition, selecting an asset meeting the asset condition from the quality case lists of the respective assets, and presenting a condition list of the assets meeting the asset condition, including:
and screening the assets paid according to the term in the quality condition lists of all the assets to obtain the condition list.
According to an embodiment of the present disclosure, the asset conditions include default conditions,
in response to the selection of the asset condition, selecting an asset meeting the asset condition from the quality case lists of the respective assets, and presenting a condition list of the assets meeting the asset condition, including:
and screening out default assets in the quality condition lists of the assets to obtain the condition list.
According to an embodiment of the present disclosure, in response to a selection of a field in a condition list, determining a statistical condition corresponding to the selected field includes:
acquiring asset information corresponding to the field;
and carrying out statistics on the asset information to obtain the statistical condition.
According to the embodiment of the disclosure, the field comprises at least one of default rate, involved rate and vehicle number.
According to an embodiment of the present disclosure, the method further comprises:
determining the vehicle sale condition by taking the first payment proportion and/or the vehicle pricing as classification conditions;
counting the vehicle sales condition;
and displaying the statistical result of the vehicle sales condition.
According to an embodiment of the present disclosure, the method further comprises:
in response to a selection process of a single asset, a list of details of the single asset is presented.
In a second aspect of the embodiments of the present disclosure, an asset quality statistics apparatus is provided, including:
the list module is used for displaying a quality condition list of each asset on an asset quality display page;
the condition module is used for responding to the selection of the asset conditions, selecting the assets meeting the asset conditions from the quality condition lists of all the assets, and displaying the condition lists of the assets meeting the asset conditions;
and the statistical module is used for responding to the selection of the fields in the condition list and determining the statistical condition corresponding to the selected fields.
According to an embodiment of the present disclosure, the asset condition includes an on-schedule payment condition, the condition module is further configured to: and screening the assets paid according to the term in the quality condition lists of all the assets to obtain the condition list.
According to an embodiment of the present disclosure, the asset conditions include default conditions, the condition module is further to: and screening out default assets in the quality condition lists of the assets to obtain the condition list.
According to an embodiment of the present disclosure, the statistics module is further configured to: acquiring asset information corresponding to the field; and carrying out statistics on the asset information to obtain the statistical condition.
According to an embodiment of the present disclosure, the statistics module is further configured to: the field comprises at least one of default rate, case-related rate and vehicle number.
According to an embodiment of the present disclosure, the apparatus further comprises: the display module is used for determining the vehicle sales condition by taking the first payment proportion and/or the vehicle pricing as the classification condition; counting the vehicle sales condition; and displaying the statistical result of the vehicle sales condition.
According to an embodiment of the present disclosure, the apparatus further comprises: a details module for presenting a list of details of the single asset in response to a selection process of the single asset.
In a third aspect of the embodiments of the present disclosure, an asset quality statistics apparatus is provided, including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to invoke the memory-stored instructions to perform the above-described method.
In a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, on which computer program instructions are stored, wherein the computer program instructions, when executed by a processor, implement the above-mentioned method.
Drawings
FIG. 1 schematically illustrates a flow diagram of an asset quality statistics method of an embodiment of the present disclosure;
FIG. 2 schematically illustrates a quality situation list of an embodiment of the present disclosure;
FIG. 3 schematically illustrates a schematic diagram of a conditional list of assets subject to a pay-by-date payment according to an embodiment of the present disclosure;
FIG. 4 is a schematic diagram that illustrates a conditional list of default assets of an embodiment of the present disclosure;
FIG. 5 schematically illustrates a diagram of a detailed list of an embodiment of the present disclosure;
FIG. 6 illustrates a schematic diagram of asset information corresponding to a field of an embodiment of the present disclosure;
FIG. 7 is a schematic diagram illustrating asset information associated with a field project according to an embodiment of the disclosure;
FIG. 8 illustrates a tabular diagram of classification statistics of an embodiment of the present disclosure;
FIG. 9 is a diagram illustrating exemplary statistics of an embodiment of the present disclosure;
FIG. 10 schematically illustrates a delivery monitoring schematic of an embodiment of the present disclosure;
FIG. 11 illustrates a block diagram of an asset quality statistics apparatus of an embodiment of the present disclosure;
FIG. 12 is a block diagram illustrating an asset quality statistics apparatus according to an exemplary embodiment.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present disclosure more apparent, the technical solutions in the embodiments of the present disclosure will be described clearly and completely with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present disclosure and in the drawings described above, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein are capable of operation in sequences other than those illustrated or otherwise described herein.
It should be understood that, in various embodiments of the present disclosure, the sequence numbers of the processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the inherent logic of the processes, and should not constitute any limitation on the implementation process of the embodiments of the present disclosure.
It should be understood that in the present disclosure, "including" and "having" and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that in the present disclosure, "a plurality" means two or more. "and/or" is merely an association describing an associated object, meaning that three relationships may exist, for example, and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "comprising a, B and C", "comprising a, B, C" means that all three of a, B, C are comprised, "comprising a, B or C" means comprising one of three of a, B, C, "comprising a, B and/or C" means comprising any 1 or any 2 or 3 of three of a, B, C.
It should be understood that in the present disclosure, "B corresponding to A", "A and B
The corresponding "or" B corresponds to A "means that B is associated with A, from which B can be determined. Determining B from a does not mean determining B from a alone, but may also be determined from a and/or other information. And the matching of A and B means that the similarity of A and B is greater than or equal to a preset threshold value.
As used herein, the term "if" may be interpreted as "at \8230; …" or "in response to a determination" or "in response to a detection" depending on the context.
The technical solution of the present disclosure is explained in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Fig. 1 schematically illustrates a flow chart of an asset quality statistics method according to an embodiment of the present disclosure, and as shown in fig. 1, the method includes:
step S101, displaying a quality condition list of each asset on an asset quality display page;
step S102, responding to the selection of the asset conditions, selecting assets meeting the asset conditions in the quality condition lists of all the assets, and displaying the condition lists of the assets meeting the asset conditions;
step S103, responding to the selection of the fields in the condition list, and determining the statistical condition corresponding to the selected fields.
According to an embodiment of the present disclosure, the asset may be a vehicle asset, for example, an enterprise owning the asset may be a vehicle sales enterprise, or an enterprise consigning vehicles, renting lessons, selling used vehicles, and the like, and the owned asset is a vehicle.
According to the embodiment of the present disclosure, in step S101, a quality condition list of each asset may be presented on an asset quality presentation page. The asset presentation page may be a page displayed in a computer device, such as a webpage generated page, or an application page, which is not limited by this disclosure.
Fig. 2 is a schematic diagram illustrating a quality situation list according to an embodiment of the present disclosure, and as shown in fig. 2, a variety of information, such as information of each vehicle asset, statistics of a variety of information of the asset, and the like, may be shown in the quality situation list of the asset.
According to embodiments of the present disclosure, any button may be selected in the quality case list and corresponding information about the asset may be presented. For example, the click order management may show order information for the vehicle asset, the click sales statistics may show sales statistics for the vehicle asset, and the like, for example, in the sales statistics, the vehicle may be classified and counted, and the disclosure does not limit the statistical manner.
According to the embodiment of the present disclosure, in step S102, in response to the selection of the asset condition, among the quality situation lists of the respective assets, assets meeting the asset condition are selected, and the condition list of the assets meeting the asset condition is presented. The property condition may include a condition of a periodic repayment, for example, a purchaser may periodically pay a price during a sale of a vehicle property on a periodic basis, and thus, a situation of the property being normally performed, i.e., in a normal repayment, may be counted.
According to an embodiment of the present disclosure, the asset condition includes a default condition, for example, during the course of an installment sale, a buyer may spend a price on an installment, but the price paid on an installment is not paid, i.e. the buyer does not normally perform, and the condition of the part of the asset may be counted.
According to an embodiment of the present disclosure, the asset condition includes an on-schedule payment condition, and step S102 may include: and screening the assets paid according to the term in the quality condition lists of all the assets to obtain the condition list.
FIG. 3 schematically illustrates a diagram of a conditional list of assets subject to an installment payment, according to an embodiment of the present disclosure. In the list, normal performance, i.e. the status of the assets on due repayment, may be shown, e.g. vehicle model, owner information, order number, contract signing time, time of delivery, etc.
According to an embodiment of the present disclosure, the asset condition includes a default condition, and step S102 includes: and screening out default assets from the quality condition lists of the assets to obtain the condition list.
FIG. 4 schematically illustrates a conditional list of default assets of an embodiment of the disclosure. In the list, a default, i.e., a condition of an overdue repayment asset, such as vehicle model, owner information, order number, contract signing time, time of delivery, etc., may be shown.
According to an embodiment of the present disclosure, the method further comprises: in response to a selection process of a single asset, a list of details of the single asset is presented. A single asset may be selected in the above list (e.g., a quality case list or a condition list of each asset) so that a detailed list of the single asset, i.e., more detailed information of the single asset, may be presented.
Fig. 5 schematically shows a detailed list of an embodiment of the present disclosure.
According to embodiments of the present disclosure, a single asset may be selected from the list of conditions of the breach, i.e., the condition of the single asset, such as bad records of the breached customer, may be presented.
According to an embodiment of the present disclosure, in step S103, some fields may be selected in the condition list, so as to obtain statistics corresponding to the fields.
According to an embodiment of the present disclosure, step S103 may include: acquiring asset information corresponding to the field; and carrying out statistics on the asset information to obtain the statistical condition.
Fig. 6 schematically illustrates an asset information corresponding to a field according to an embodiment of the present disclosure. As shown in fig. 6, for example, a field of a default order may be selected, then the asset information corresponding to the default field may be presented first.
Fig. 7 is a schematic diagram illustrating asset information associated with a field project according to an embodiment of the present disclosure. As shown in fig. 7, the asset information of the dedicated asset, for example, the asset information of the asset in which the situation of the related event, the prosecution, or the like is violated, may be counted.
According to the embodiment of the disclosure, after the asset information corresponding to the field is obtained, statistics can be performed on the asset information of the field. The field may include at least one of a default rate, an involved rate, and a number of vehicles delivered. As indicated above, a list of offending assets, a list of implicated assets, etc. may be obtained, and statistics may be applied to the contents of the list.
According to the embodiment of the disclosure, information of dimensions such as the number of delivered vehicles can be counted, for example, statistics can be performed according to sales conditions of services such as new vehicles and sublist vehicles, that is, classification statistics is performed.
Fig. 8 schematically illustrates a list of classification statistics of an embodiment of the present disclosure. As shown in fig. 8, statistics may be performed on sales of new vehicles and leased vehicles, and other statistics of these sales services may also be performed, such as default rate, project rate, and the like.
According to an embodiment of the present disclosure, the method further comprises: determining the vehicle sales condition by taking the first payment proportion and/or the vehicle pricing as classification conditions; counting the vehicle sales condition; and displaying the statistical result of the vehicle sales condition.
According to the embodiment of the disclosure, statistics can be performed according to other conditions, for example, a first payment proportion, vehicle pricing and the like are taken as classification conditions, and corresponding statistical results are obtained.
Fig. 9 exemplarily shows a diagram of a statistical result of an embodiment of the present disclosure. As shown in fig. 9, the sales condition of various services such as new vehicles, sublist vehicles, etc. can be counted, and in the process of counting, the counting result can be further subdivided, further subdivided and counted according to factors such as the first payment proportion, vehicle pricing, etc., and the repayment condition of each period, for example, the default rate, the project rate, etc. of each period (repayment period) can be counted, so as to obtain the corresponding counting result.
According to embodiments of the present disclosure, the time to sell for each vehicle asset may also be displayed, such as factors such as average wait time from incoming to sales.
Fig. 10 schematically illustrates a delivery monitoring schematic of an embodiment of the present disclosure. As the fourteenth in fig. 10, the statistical result of the waiting time of the purchased vehicle asset in each date can be counted. Such as time of purchase, time of delivery, time of inventory, time of clearance, time of sublist, etc., and the number of vehicle assets purchased, cars, inventory, clearance, sublist, etc.
According to the embodiment of the disclosure, the status of each order can be displayed, so that the details of each order can be known, and a single order can be selected from the orders for more detailed display.
According to the method and the device, the information of the vehicle assets can be automatically managed, the information of the vehicle assets can be classified and counted, the convenience of asset management is improved, the statistical information can be more easily understood and used by a user, and the efficiency of asset management is improved.
Fig. 11 is a block diagram illustrating an asset quality statistics apparatus according to an embodiment of the present disclosure, and as shown in fig. 11, the apparatus includes:
the list module is used for displaying a quality condition list of each asset on an asset quality display page;
the condition module is used for responding to the selection of the asset conditions, selecting the assets meeting the asset conditions in the quality condition lists of all the assets, and displaying the condition lists of the assets meeting the asset conditions;
and the statistical module is used for responding to the selection of the fields in the condition list and determining the statistical condition corresponding to the selected fields.
According to an embodiment of the present disclosure, the asset condition includes an on-schedule payment condition, the condition module is further configured to: and screening the assets paid according to the term in the quality condition lists of all the assets to obtain the condition list.
According to an embodiment of the present disclosure, the asset conditions include default conditions, the condition module is further to: and screening out default assets in the quality condition lists of the assets to obtain the condition list.
According to an embodiment of the present disclosure, the statistics module is further configured to: acquiring asset information corresponding to the field; and carrying out statistics on the asset information to obtain the statistical condition.
According to an embodiment of the present disclosure, the statistics module is further configured to: the field comprises at least one of default rate, case-related rate and vehicle number.
According to an embodiment of the present disclosure, the apparatus further comprises: the display module is used for determining the vehicle sales condition by taking the first payment proportion and/or the vehicle pricing as the classification condition; counting the vehicle sales condition; and displaying the statistical result of the vehicle sales condition.
According to an embodiment of the present disclosure, the apparatus further comprises: a details module for presenting a list of details of a single asset in response to a selection process for the single asset.
FIG. 12 is a block diagram illustrating an asset quality statistics apparatus according to an exemplary embodiment. The device 1600 may be provided as a terminal or server, for example. Device 1600 includes a processing component 1602, and memory resources, represented by memory 1603, for storing instructions, such as applications, that are executable by processing component 1602. The application programs stored in memory 1603 may include one or more modules each corresponding to a set of instructions. Further, the processing component 1602 is configured to execute instructions to perform the above-described methods.
The device 1600 may also include a power component 1606 configured to perform power management for the device 1600, a wired or wireless network interface 1605 configured to connect the device 1600 to a network, and an input/output (I/O) interface 1608. The device 1600 may operate based on an operating system stored in memory 1603, such as Windows Server, mac OS XTM, unixTM, linuxTM, freeBSDTM, or the like.
The present invention may be methods, apparatus, systems and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied therein for carrying out aspects of the present invention.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present invention may be assembler instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present invention are implemented by personalizing an electronic circuit, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA), with state information of computer-readable program instructions, which can execute the computer-readable program instructions.
Aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processing unit of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processing unit of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
It is noted that, unless expressly stated otherwise, all features disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose. Thus, unless expressly stated otherwise, each feature disclosed is one example only of a generic series of equivalent or similar features. Where used, further, preferably, still further and more preferably is a brief introduction to the description of the other embodiment based on the foregoing embodiment, the combination of the contents of the further, preferably, still further or more preferably back strap with the foregoing embodiment being a complete construction of the other embodiment. Several further, preferred, still further or more preferred arrangements of the belt after the same embodiment may be combined in any combination to form a further embodiment.
It will be appreciated by persons skilled in the art that the embodiments of the invention described above and shown in the drawings are given by way of example only and are not limiting of the invention. The objects of the invention have been fully and effectively accomplished. The functional and structural principles of the present invention have been shown and described in the examples, and any variations or modifications of the embodiments of the present invention may be made without departing from the principles.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present disclosure, and not for limiting the same; while the present disclosure has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications or substitutions do not depart from the scope of the embodiments of the present disclosure by the essence of the corresponding technical solutions.
Claims (10)
1. An asset quality statistics method, comprising:
displaying a quality condition list of each asset on an asset quality display page;
responding to the selection of the asset conditions, selecting assets meeting the asset conditions from the quality condition lists of the assets, and displaying the condition lists of the assets meeting the asset conditions;
in response to selection of a field in the condition list, a statistical condition corresponding to the selected field is determined.
2. The method of claim 1, wherein the asset conditions include an on-time payment condition,
in response to the selection of the asset condition, selecting an asset meeting the asset condition from the quality case lists of the respective assets, and presenting a condition list of the assets meeting the asset condition, including:
and screening the assets paid according to the term in the quality condition lists of all the assets to obtain the condition list.
3. The method of claim 1, wherein the asset conditions comprise default conditions,
in response to the selection of the asset condition, selecting an asset meeting the asset condition from the quality case lists of the respective assets, and presenting a condition list of the assets meeting the asset condition, including:
and screening out default assets in the quality condition lists of the assets to obtain the condition list.
4. The method of claim 1, wherein determining statistics corresponding to a selected field in response to selection of the field in the condition list comprises:
acquiring asset information corresponding to the field;
and carrying out statistics on the asset information to obtain the statistical condition.
5. The method of claim 1, wherein the field comprises at least one of a default rate, an involved rate, and a number of vehicles delivered.
6. The method of claim 1, further comprising:
determining the vehicle sale condition by taking the first payment proportion and/or the vehicle pricing as classification conditions;
counting the vehicle sales condition;
and displaying the statistical result of the vehicle sales condition.
7. The method of claim 1, further comprising:
in response to a selection process of a single asset, a list of details of the single asset is presented.
8. An asset quality statistics apparatus, comprising:
the list module is used for displaying a quality condition list of each asset on an asset quality display page;
the condition module is used for responding to the selection of the asset conditions, selecting the assets meeting the asset conditions in the quality condition lists of all the assets, and displaying the condition lists of the assets meeting the asset conditions;
and the statistical module is used for responding to the selection of the fields in the condition list and determining the statistical condition corresponding to the selected fields.
9. An asset quality statistics device, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to invoke the memory-stored instructions to perform the method of any of claims 1 to 7.
10. A computer readable storage medium having computer program instructions stored thereon, which when executed by a processor implement the method of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015145802A1 (en) * | 2014-03-25 | 2015-10-01 | 株式会社日立システムズ | Asset management system and asset management method |
| CN105719077A (en) * | 2016-01-20 | 2016-06-29 | 中国矿业大学(北京) | Laneway explosion construction quality management method and laneway explosion construction quality management system |
| CN108985916A (en) * | 2018-05-29 | 2018-12-11 | 深圳市元征科技股份有限公司 | A kind of digital asset management method and server |
| CN111858713A (en) * | 2020-07-21 | 2020-10-30 | 浪潮云信息技术股份公司 | Object-based government information asset management method and system |
| CN112579609A (en) * | 2020-12-25 | 2021-03-30 | 国家电投集团科学技术研究院有限公司 | Method and system for realizing data standardization management and sharing based on data asset directory |
| CN113407561A (en) * | 2021-08-19 | 2021-09-17 | 深圳市信润富联数字科技有限公司 | Configurable asset management method, apparatus, medium and computer program product |
| CN114064695A (en) * | 2021-11-18 | 2022-02-18 | 安天科技集团股份有限公司 | Asset information screening method and device, electronic equipment and storage medium |
| CN114397988A (en) * | 2022-01-19 | 2022-04-26 | 京东方科技集团股份有限公司 | Display method, device, system, electronic equipment and medium of safety analysis data |
| CN114547179A (en) * | 2022-01-28 | 2022-05-27 | 深圳英飞拓智园科技有限公司 | Asset data display method and device, computer equipment and storage medium |
-
2022
- 2022-08-12 CN CN202210969723.7A patent/CN115391419A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015145802A1 (en) * | 2014-03-25 | 2015-10-01 | 株式会社日立システムズ | Asset management system and asset management method |
| CN105719077A (en) * | 2016-01-20 | 2016-06-29 | 中国矿业大学(北京) | Laneway explosion construction quality management method and laneway explosion construction quality management system |
| CN108985916A (en) * | 2018-05-29 | 2018-12-11 | 深圳市元征科技股份有限公司 | A kind of digital asset management method and server |
| CN111858713A (en) * | 2020-07-21 | 2020-10-30 | 浪潮云信息技术股份公司 | Object-based government information asset management method and system |
| CN112579609A (en) * | 2020-12-25 | 2021-03-30 | 国家电投集团科学技术研究院有限公司 | Method and system for realizing data standardization management and sharing based on data asset directory |
| CN113407561A (en) * | 2021-08-19 | 2021-09-17 | 深圳市信润富联数字科技有限公司 | Configurable asset management method, apparatus, medium and computer program product |
| CN114064695A (en) * | 2021-11-18 | 2022-02-18 | 安天科技集团股份有限公司 | Asset information screening method and device, electronic equipment and storage medium |
| CN114397988A (en) * | 2022-01-19 | 2022-04-26 | 京东方科技集团股份有限公司 | Display method, device, system, electronic equipment and medium of safety analysis data |
| CN114547179A (en) * | 2022-01-28 | 2022-05-27 | 深圳英飞拓智园科技有限公司 | Asset data display method and device, computer equipment and storage medium |
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