CN113706343A - Data acquisition method and device - Google Patents
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Abstract
The embodiment of the specification provides a data acquisition method and a data acquisition device, wherein the data acquisition method comprises the following steps: determining an acquisition strategy according to the asset information of the fixed asset submitted by a user; calling the user terminal of the user to execute the position verification event in the acquisition strategy, and acquiring data based on the acquisition guidance of the acquisition event in the acquisition strategy after the verification is passed; and synthesizing the target image of the fixed asset contained in the data stream obtained by data acquisition.
Description
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to a data acquisition method and apparatus.
Background
With the development of internet technology and the wide application of the internet in various fields, the dependence degree of various industries on the internet in social and economic activities is higher and higher, the fixed asset is used as important real estate in the social and economic activities, and related services derived around the fixed asset are more and more, wherein how to fully exploit the intrinsic value of the fixed asset data so as to release the intrinsic value of the fixed asset as the real estate becomes the key point of exploring various data services related to the fixed asset.
Disclosure of Invention
One or more embodiments of the present specification provide a data acquisition method, including: and determining an acquisition strategy according to the asset information of the fixed asset submitted by the user. And calling the user terminal of the user to execute the position verification event in the acquisition strategy, and acquiring data based on the acquisition guidance of the acquisition event in the acquisition strategy after the verification is passed. And synthesizing the target image of the fixed asset contained in the data stream obtained by data acquisition.
One or more embodiments of the present specification provide a data acquisition apparatus including: and the acquisition strategy determining module is configured to determine an acquisition strategy according to the asset information of the fixed asset submitted by the user. And the data acquisition module is configured to call the user terminal of the user to execute the position verification event in the acquisition strategy and acquire data based on the acquisition guidance of the acquisition event in the acquisition strategy after the verification is passed. And the synthesis processing module is configured to perform synthesis processing on the target image of the fixed asset contained in the data stream obtained by data acquisition.
One or more embodiments of the present specification provide a data acquisition apparatus including: a processor; and a memory configured to store computer-executable instructions that, when executed, cause the processor to: and determining an acquisition strategy according to the asset information of the fixed asset submitted by the user. And calling the user terminal of the user to execute the position verification event in the acquisition strategy, and acquiring data based on the acquisition guidance of the acquisition event in the acquisition strategy after the verification is passed. And synthesizing the target image of the fixed asset contained in the data stream obtained by data acquisition.
One or more embodiments of the present specification provide a storage medium storing computer-executable instructions that, when executed by a processor, implement the following: and determining an acquisition strategy according to the asset information of the fixed asset submitted by the user. And calling the user terminal of the user to execute the position verification event in the acquisition strategy, and acquiring data based on the acquisition guidance of the acquisition event in the acquisition strategy after the verification is passed. And synthesizing the target image of the fixed asset contained in the data stream obtained by data acquisition.
Drawings
In order to more clearly illustrate one or more embodiments or technical solutions in the prior art in the present specification, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without inventive exercise;
FIG. 1 is a flow diagram of a data collection method process provided in one or more embodiments of the present disclosure;
FIG. 2 is a process flow diagram of a data collection method applied to a property assessment scenario according to one or more embodiments of the present disclosure;
FIG. 3 is a schematic diagram of a data acquisition device according to one or more embodiments of the present disclosure;
fig. 4 is a schematic structural diagram of a data acquisition device according to one or more embodiments of the present disclosure.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in one or more embodiments of the present disclosure, the technical solutions in one or more embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in one or more embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all embodiments. All other embodiments that can be derived by a person skilled in the art from one or more of the embodiments described herein without making any inventive step shall fall within the scope of protection of this document.
The embodiment of the data acquisition method provided by the specification comprises the following steps:
referring to fig. 1, which shows a processing flow chart of a data acquisition method provided in this embodiment, and referring to fig. 2, which shows a processing flow chart of a data acquisition method applied to a property assessment scenario provided in this embodiment.
Referring to fig. 1, the data acquisition method provided in this embodiment specifically includes steps S102 to S106.
And step S102, determining an acquisition strategy according to the asset information of the fixed assets submitted by the user.
According to the data acquisition method provided by the embodiment, in the process of checking the fixed assets, starting from asset information submitted by a user, an acquisition strategy for checking the fixed assets and acquiring data is determined, the user terminal of the user is remotely called according to the determined acquisition strategy to check the positions of the fixed assets, after the position check is passed, the user is further guided to complete image data acquisition and voice data acquisition of the fixed assets according to the acquisition strategy, and target images of the fixed assets contained in image data streams acquired by image data acquisition are subjected to synthesis processing to be used for checking the fixed assets and evaluating the fixed assets, so that the interchangeability and convenience of the checking and evaluating of the fixed assets are improved, and the user experience of a fixed asset evaluation link is improved.
The fixed assets of the embodiment comprise real estate and buildings. The asset information comprises at least one of: address information, asset type, structure information, and asset status. The address information at least comprises an area address field for identifying or describing the geographical position of the fixed asset and a detail address field for identifying or describing the house number or the house number of the fixed asset; for example, the property address information of the user u is: "xx city xx cell a1 cell B1 unit C1 room", where "a 1 cell" is a regional address field and "B1 cell C1 room" is a property address field, i.e., a detail address field. The asset types include a residential type, a business type, and/or a business office type. The structural information is used for representing structural information inside the fixed asset, and the data form of the structural information can be a text form, for example, the house type information of the house property of the user u is "4 rooms, 2 halls and 2 guards"; the data form of the structural information may also be an image form, such as a structural image of a property submitted by user u. The asset state comprises an idle state, a self-holding state and/or a leasing state.
The acquisition strategy refers to a combination of execution modes adopted for performing position verification and data acquisition on the fixed assets, and specifically, the execution modes adopted for the position verification and the data acquisition are recorded in an event, and the position acquisition and/or the data acquisition are performed according to the adopted execution modes through the event execution mode. The acquisition strategies include location verification events, internal acquisition events, and/or external acquisition events.
The location verification event refers to an event for performing location verification on the fixed asset according to a preset execution mode, for example, the address information of the property submitted by the user u is as follows: "xx city xx cell a1 cell B1 cell C1 room", and a location check event for checking the area address field "a 1 cell" and the property address field "B1 cell C1 room" in the property address information.
The external collection event refers to an event for performing data collection on the outside of the fixed asset or an external related area, for example, an image collection event for performing image collection on a gate signboard of a cell where a house of the user u is located, a unit doorplate of a unit gate, and a doorplate of a house doorway.
The internal collection event refers to an event for collecting data of an internal area of a fixed asset, for example, an indoor collection event for collecting image data of indoor units such as a living room, a bedroom, a dining room, and a bathroom in the house of the user u and collecting information related to the state of the house in a voice interaction manner.
In specific implementation, in the process of determining the acquisition policy according to the asset information of the fixed asset submitted by the user, the acquisition policy is determined according to the content contained in the asset information, and optionally, the determining the acquisition policy according to the asset information of the fixed asset submitted by the user includes: and determining the acquisition strategy according to the address information, the asset type, the structure information and/or the asset state contained in the asset information.
In an optional implementation manner provided by this embodiment, the acquisition policy is determined according to address information, structure information, and asset state included in asset information, and a specific determination process is as follows:
(1) and analyzing the address information, and determining an external acquisition event and the position verification event according to the area address field and/or the detail address field obtained by analysis.
Optionally, determining an external collection event and the location verification event according to the area address field and/or the detail address field obtained by parsing includes:
determining the external acquisition event based on an address hierarchy contained in the area address field; for example, the address field for indicating the cell where the property is located, the address field for indicating the building or unit where the property is located, and the address field for indicating the floor and the number of the room where the property is located, which are included in the property address information submitted by the user u, correspond to addresses of different levels, and are therefore called address levels;
determining the location verification event according to the area address field and the detail address field; the location verification event comprises: the regional address field (e.g., a field of "a 1 cell" in the property address information or a field of "a 1 cell B1 unit" in the property address information) and/or the detailed address field (e.g., a field of "C1 room" in the property address information) are checked based on the collected regional location information and/or asset location information.
(2) An internal collection event is determined based on the structural information and the asset status.
Optionally, determining an internal collection event based on the structural information and the asset state includes: determining an internal acquisition event for image acquisition of each internal unit based on the structural information and for voice material acquisition based on the asset status.
(3) And constructing the acquisition strategy according to the external acquisition event, the position verification event and the internal acquisition event.
For example, after analyzing the property address information "xx city xx area a1 cell B1 unit C1 room" of the user u, the area address field "a 1 cell" and the property address field "B1 unit C1 room" are obtained, and based on these two fields, the determined location verification event is: verifying whether the user u is in an "a 1 cell" and in a "B1 cell C1 room" through location acquisition; the determined outdoor acquisition event is to acquire images of a gate signboard of a community where the house of the user u is located, a unit doorplate of a unit gate and a doorplate of a house gate, determine an indoor image acquisition event for acquiring each indoor unit in the house based on the house type information of '4 rooms, 2 rooms and 2 guards', determine a voice acquisition event for acquiring corresponding voice materials based on the renting state of the house, and construct an acquisition strategy for acquiring data of the house of the user u according to a position check event, an outdoor acquisition event, an indoor image acquisition event and the voice acquisition event.
Further, in the case where the collection policy is composed of an external collection event, a location verification event, and an internal collection event, the external collection event included in the collection policy may be determined based on the area address field and/or the detail address field obtained by resolving the address information, and the internal collection event included in the collection policy may be determined based on the structure information and the asset state.
It should be noted that the above-mentioned optional implementation manner for determining the collection policy is only an example manner for determining the collection policy provided in this embodiment, and in addition, the collection policy may also be determined according to one or more of address information, asset type, structure information, and asset state included in the asset information, which is not limited in this embodiment, for example, the external collection event and the location verification event included in the collection policy are determined according to the address information, and the internal collection event included in the collection policy is determined according to the structure information; for another example, the location verification event included in the acquisition strategy is determined according to the address information, the internal acquisition event included in the acquisition strategy is determined according to the asset type, and the acquisition strategy consisting of the location verification event and the internal acquisition event is obtained.
And step S104, calling the user terminal of the user to execute the position verification event in the acquisition strategy, and acquiring data based on the acquisition guidance of the acquisition event in the acquisition strategy after the verification is passed.
After the acquisition strategy for acquiring the data of the fixed assets is determined, the user terminal of the user is called to execute the position verification event and the acquisition event in the acquisition strategy so as to perform position verification, and the data acquisition is performed based on the acquisition guide displayed in the acquisition event execution process after the position verification is passed. The position verification aims at ensuring the reality and the effectiveness of data of the fixed assets in position dimensions, the division of internal acquisition events and external acquisition events in the acquisition strategy is also used for improving the effectiveness of the acquired data, and particularly, the authenticity of data acquisition is ensured by matching the data acquired in the process of executing the external acquisition events with address fields contained in the address information.
In an optional implementation manner provided by this embodiment, invoking the user terminal of the user to execute the location verification event in the acquisition policy includes:
calling the user terminal to collect position information and determining a geographic unit corresponding to the position information;
verifying whether the geographic unit is matched with the address information contained in the asset information, and if so, determining that the position verification is passed; if not, determining that the position check fails.
Along with the above example, call lbs (location Based services) of the mobile terminal of the user u to acquire the location information of the user u, and check whether the cell corresponding to the location information is the "a 1 cell"; in addition, the mobile terminal of the user u can be called, the house number corresponding to the position where the user u is located is determined through the Wi-Fi positioning technology, whether the house number is consistent with the house number 'C1 room' or 'a 1 cell B1 cell C1 room' recorded in the house address information or not is checked, the consistency indicates that the position check is passed, and the inconsistency indicates that the position check is not passed.
During specific implementation, the user terminal is called to execute a position verification event in the acquisition strategy, position information is acquired through execution of the position verification event and verified with an address field recorded in the address information, if the verification is passed, the current position of data acquisition of the user is consistent with the position of the fixed asset, and execution of the acquisition event in the acquisition strategy is continued; if the verification fails, the fact that the current data acquisition position of the user is inconsistent with the position of the fixed asset is indicated, and a reminding message of inconsistent position is sent to the user.
As described above, the collection policy includes a location verification event, an external collection event, and an internal collection event, after the location verification event is executed and passed through verification, data collection is performed based on collection guidance of the collection event in the collection policy, in a specific execution process, the user terminal is called to execute the external collection event and the internal collection event, and collection guidance display and data collection are performed through execution of the event.
In an optional implementation manner provided by this embodiment, the process of guiding data acquisition based on acquisition of the external acquisition event specifically includes: and calling the user terminal, displaying acquisition guide information of each acquisition node of the external acquisition event in the acquisition strategy, and acquiring images of each acquisition node.
Specifically, in the process of acquiring guidance information display and image acquisition of each acquisition node, in order to improve the efficiency of image acquisition, the acquisition nodes are divided for the external acquisition event, and meanwhile, in order to improve the effectiveness of image acquisition, images included in an image data stream obtained in the image acquisition process are identified to determine whether to confirm acquisition of a target image of each acquisition node, for example, whether to acquire images of a gate signboard of a community where a house of a user u is located, a unit doorplate of a unit gate and a doorplate of a house entrance, wherein image acquisition is performed for 3 of the gate signboard of the community, the unit doorplate of the unit gate and the doorplate of the house entrance, that is, 3 acquisition nodes of the outdoor acquisition event.
In an optional implementation manner provided in this embodiment, the following manner is adopted to show the acquisition guidance information of each acquisition node of the external acquisition event in the acquisition policy, and perform image acquisition of each acquisition node:
displaying acquisition guide information of a first acquisition node of the external acquisition event, and acquiring an image of the first acquisition node to obtain a first image data stream;
identifying image features contained in a target image corresponding to the first acquisition node in the first image data stream;
and under the condition that the image characteristics are matched with the address field corresponding to the first acquisition node in the address information, displaying acquisition guide information of a next acquisition node of the first acquisition node in the external acquisition event and acquiring an image of the next acquisition node.
In an optional implementation manner provided by this embodiment, the process of conducting data acquisition based on the acquisition guidance of the internal acquisition event specifically includes:
calling the user terminal, acquiring images of all internal units of the internal acquisition events in the acquisition strategy, and displaying acquisition guide information of all internal units;
and calling the user terminal to play the voice question of the internal acquisition event, and acquiring the voice material corresponding to the voice question.
Specifically, in the process of collecting guide information display and image collection of an internal collection event, for improving the efficiency of image collection, the internal area of the fixed asset is divided into a plurality of internal units, and the display and the image collection of the guide information are collected aiming at each internal unit, for example, in the process of collecting the house property of the user u, the collection guide information display of a bedroom, a bathroom and a living room is carried out to guide the user u to collect video images of all indoor rooms. Meanwhile, the indoor data acquisition interactivity of the house is improved through the voice problem and voice material acquisition mode, for example, under the condition that the house state of the user u is a renting state, the renting time and other information of the house of the user u are confirmed through the semantic problem.
For further promoting the efficiency of the internal image acquisition of the fixed asset, and also for promoting the accuracy of the internal image acquisition, in an optional implementation manner provided by this embodiment, the image of each internal unit is checked in the image acquisition process and the image acquisition is reminded on the basis of the check, specifically, the following manner is adopted for the image acquisition of each internal unit of the internal acquisition event in the acquisition policy, and the acquisition guide information of each internal unit is displayed:
acquiring an image data stream of the internal acquisition event;
identifying an internal unit corresponding to a target image in the image data stream, and verifying whether the target image meets image acquisition parameters of the corresponding internal unit;
if yes, the image acquisition of the next internal unit is not processed or continued;
if not, determining and displaying the adjustment parameters for image acquisition in the corresponding internal unit based on the image acquisition parameters.
For example, in the process of performing an image on a bedroom of a user u's house, an image acquired for the bedroom is identified, and if the identification result indicates that the image content does not cover a half space or area of the bedroom, the reminding information for reducing the focal length to enlarge the image view angle coverage area is displayed on a screen of a mobile terminal where the user u performs image acquisition currently.
The above specifically describes the external collection event, the position verification event, and the execution process of the external collection event in the collection strategy from independent perspectives, and provides corresponding optional embodiments, it should be noted that the optional embodiments of the external collection event and the optional embodiments of the position verification event and the external collection event provided above may be combined according to actual execution needs, so as to further improve the collection efficiency and the collection accuracy of data collection for fixed assets. In an optional implementation manner provided by this embodiment, invoking the user terminal of the user to execute the location verification event in the acquisition policy, and performing data acquisition based on the acquisition guidance of the acquisition event in the acquisition policy after the verification is passed includes:
remotely calling the user terminal to acquire the regional position information of the fixed asset and determining a geographical region corresponding to the regional position information;
if the geographic region is matched with the region address field in the address information, displaying acquisition guide information of an external acquisition event in the acquisition strategy through the user terminal and carrying out image acquisition;
remotely calling the user terminal to acquire asset position information of the fixed asset;
if the asset position information is matched with the detail address field contained in the address information, remotely calling the user terminal to play the voice question of the internal acquisition event, acquiring the voice material corresponding to the voice question, carrying out image acquisition of the internal acquisition event in the acquisition strategy and displaying acquisition guide information.
And step S106, synthesizing the target image of the fixed asset contained in the data stream obtained by data acquisition.
The step completes data acquisition of the fixed assets by executing a position verification event, an external acquisition event and an internal acquisition event in the acquisition strategy, and in the step, images required for image acquisition of the fixed assets are acquired by an image synthesis mode on the basis of data streams acquired by the data acquisition.
In an optional implementation manner provided by this embodiment, the synthesizing process of the target image of the fixed asset included in the data stream obtained by data acquisition specifically includes:
extracting target images containing each internal unit in the data stream;
and carrying out image synthesis on the target image to obtain a synthetic image of the fixed asset.
Specifically, in the image synthesis process, an image synthesis model which is pre-constructed and trained can be input through a target image to perform image synthesis processing, and a synthetic image of the fixed asset is output.
In practical application, in a fixed asset evaluation scene, image acquisition is often required to be performed on a fixed asset for evaluation, for example, value evaluation is performed on a house property, and in the evaluation process, due to incomplete or inaccurate image acquisition, the house property evaluation is often defective in accuracy. Specifically, after the target image of the fixed asset included in the data stream obtained by the data acquisition is subjected to the synthesis processing, and on the basis that the synthesis image of the fixed asset is obtained by the synthesis processing, in an optional implementation manner provided by this embodiment, the synthesis image is checked against the structural image included in the asset information, so as to evaluate the fixed asset according to the check result.
Further, in a fixed asset assessment scenario, it is often necessary to give a corresponding assessment value for the assessment of a fixed asset after the assessment is completed, for example, in the process of assessing a property value, an assessment amount of a property needs to be given after the assessment, and the assessment amount may be used for applying a loan, for which, in order to improve the accuracy of the assessment amount in the fixed asset assessment scenario, in an optional implementation manner provided in this embodiment, the assessment processing of the fixed asset is performed in the following manner:
aggregating the asset information, the data stream and a composite image obtained by composite processing to obtain a data set of the fixed asset;
and evaluating the fixed asset based on the data set to determine the evaluation limit of the fixed asset.
The following further describes the data acquisition method provided in this embodiment by taking an application of the data acquisition method provided in this embodiment in a property assessment scenario as an example, and referring to fig. 2, the data acquisition method applied in the property assessment scenario specifically includes steps S202 to S220.
Step S202, the property address information contained in the property information of the property to be checked submitted by the user is analyzed, and the outdoor acquisition event and the position check event are determined according to the cell address field and the property address field obtained through analysis.
And step S204, determining an indoor acquisition event based on the house type information and the house state contained in the house information.
And step S206, constructing an acquisition strategy according to the outdoor acquisition event, the position verification event and the indoor acquisition event.
And S208, remotely calling a user terminal of the user to acquire the position information of the cell where the property to be checked is located, and determining a geographical area corresponding to the position information of the cell.
And step S210, if the geographic area is matched with the cell address field in the house address information, displaying acquisition guide information of the outdoor acquisition event in the acquisition strategy through the user terminal and acquiring an image.
Step S212, the user terminal is called remotely to collect the property position information of the property to be checked.
Step S214, if the property location information is matched with the property address field contained in the property address information, the user terminal is remotely called to play the voice problem of the indoor acquisition event, the voice material corresponding to the voice problem is acquired, the image acquisition of the indoor acquisition event in the acquisition strategy is carried out, and the acquisition guide information is displayed.
Step S216, extracting target images including each indoor unit in the acquired data stream, and performing image synthesis to obtain a synthesized house type diagram.
Step S218, the property information, the data stream and the synthesized house type graph are aggregated to obtain a data set of the property to be checked.
Step S220, evaluating the property to be checked based on the data set to determine the evaluation limit of the property to be checked.
The data acquisition device provided by the specification comprises the following embodiments:
in the above embodiments, a data acquisition method is provided, and correspondingly, a data acquisition apparatus is also provided, which is described below with reference to the accompanying drawings.
Referring to fig. 3, a schematic diagram of a data acquisition apparatus provided in this embodiment is shown.
Since the device embodiments correspond to the method embodiments, the description is relatively simple, and the relevant portions may refer to the corresponding description of the method embodiments provided above. The device embodiments described below are merely illustrative.
The present embodiment provides a data acquisition apparatus including:
an acquisition policy determination module 302 configured to determine an acquisition policy according to the asset information of the fixed asset submitted by the user;
a data acquisition module 304 configured to invoke the user terminal of the user to execute a location verification event in the acquisition policy, and perform data acquisition based on acquisition guidance of the acquisition event in the acquisition policy after the verification is passed;
a synthesis processing module 306 configured to perform synthesis processing on the target image of the fixed asset included in the data stream obtained by data acquisition.
The embodiment of the data acquisition device provided by the specification is as follows:
on the basis of the same technical concept, corresponding to the data acquisition method described above, one or more embodiments of the present specification further provide a data acquisition device, where the data acquisition device is configured to execute the data acquisition method provided above, and fig. 4 is a schematic structural diagram of the data acquisition device provided in one or more embodiments of the present specification.
The data acquisition equipment that this embodiment provided includes:
as shown in fig. 4, the data acquisition device may have a relatively large difference due to different configurations or performances, and may include one or more processors 401 and a memory 402, where the memory 402 may store one or more stored applications or data. Wherein memory 402 may be transient or persistent. The application program stored in memory 402 may include one or more modules (not shown), each of which may include a series of computer-executable instructions in a data acquisition device. Still further, the processor 401 may be configured to communicate with the memory 402 to execute a series of computer-executable instructions in the memory 402 on the data acquisition device. The data acquisition apparatus may also include one or more power supplies 403, one or more wired or wireless network interfaces 404, one or more input/output interfaces 405, one or more keyboards 406, etc.
In one particular embodiment, a data acquisition device includes a memory, and one or more programs, wherein the one or more programs are stored in the memory, and the one or more programs may include one or more modules, and each module may include a series of computer-executable instructions for the data acquisition device, and the one or more programs configured to be executed by the one or more processors include computer-executable instructions for:
determining an acquisition strategy according to the asset information of the fixed asset submitted by a user;
calling the user terminal of the user to execute the position verification event in the acquisition strategy, and acquiring data based on the acquisition guidance of the acquisition event in the acquisition strategy after the verification is passed;
and synthesizing the target image of the fixed asset contained in the data stream obtained by data acquisition.
An embodiment of a storage medium provided in this specification is as follows:
on the basis of the same technical concept, one or more embodiments of the present specification further provide a storage medium corresponding to the data acquisition method described above.
The storage medium provided in this embodiment is used to store computer-executable instructions, and when the computer-executable instructions are executed by the processor, the following processes are implemented:
determining an acquisition strategy according to the asset information of the fixed asset submitted by a user;
calling the user terminal of the user to execute the position verification event in the acquisition strategy, and acquiring data based on the acquisition guidance of the acquisition event in the acquisition strategy after the verification is passed;
and synthesizing the target image of the fixed asset contained in the data stream obtained by data acquisition.
It should be noted that the embodiment related to the storage medium in this specification and the embodiment related to the data acquisition method in this specification are based on the same inventive concept, and therefore, specific implementation of this embodiment may refer to implementation of the foregoing corresponding method, and repeated details are not described here.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
In the 30 s of the 20 th century, improvements in a technology could clearly be distinguished between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Hardware Description Language), traffic, pl (core universal Programming Language), HDCal (jhdware Description Language), lang, Lola, HDL, laspam, hardward Description Language (vhr Description Language), vhal (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: the ARC625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the units may be implemented in the same software and/or hardware or in multiple software and/or hardware when implementing the embodiments of the present description.
One skilled in the art will recognize that one or more embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, one or more embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The description has been presented with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
One or more embodiments of the present description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. One or more embodiments of the specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of this document and is not intended to limit this document. Various modifications and changes may occur to those skilled in the art from this document. Any modifications, equivalents, improvements, etc. which come within the spirit and principle of the disclosure are intended to be included within the scope of the claims of this document.
Claims (17)
1. A method of data acquisition, comprising:
determining an acquisition strategy according to the asset information of the fixed asset submitted by a user;
calling the user terminal of the user to execute the position verification event in the acquisition strategy, and acquiring data based on the acquisition guidance of the acquisition event in the acquisition strategy after the verification is passed;
and synthesizing the target image of the fixed asset contained in the data stream obtained by data acquisition.
2. The data collection method of claim 1, wherein determining a collection policy based on the asset information of the fixed asset submitted by the user comprises:
and determining the acquisition strategy according to the address information, the asset type, the structure information and/or the asset state contained in the asset information.
3. The data acquisition method according to claim 2, wherein the determining the acquisition policy according to the address information, the structure information, and the asset state included in the asset information includes:
analyzing the address information, and determining an external acquisition event and the position verification event according to an area address field and/or a detail address field obtained by analysis;
determining an internal collection event based on the structural information and the asset status;
and constructing the acquisition strategy according to the external acquisition event, the position verification event and the internal acquisition event.
4. The data collection method of claim 1, said invoking a user terminal of said user to perform a location verification event in said collection policy comprising:
calling the user terminal to collect position information and determining a geographic unit corresponding to the position information;
verifying whether the geographic unit is matched with the address information contained in the asset information, and if so, determining that the position verification is passed; if not, determining that the position check fails.
5. The data collection method of claim 1, wherein the guiding the collection of data based on the collection of collection events in the collection strategy comprises:
and calling the user terminal, displaying acquisition guide information of each acquisition node of the external acquisition event in the acquisition strategy, and acquiring images of each acquisition node.
6. The data acquisition method according to claim 5, wherein the displaying acquisition guidance information of each acquisition node of the external acquisition event in the acquisition policy and performing image acquisition of each acquisition node comprises:
displaying acquisition guide information of a first acquisition node of the external acquisition event, and acquiring an image of the first acquisition node to obtain a first image data stream;
identifying image features contained in a target image corresponding to the first acquisition node in the first image data stream;
and under the condition that the image characteristics are matched with the address field corresponding to the first acquisition node in the address information, displaying acquisition guide information of a next acquisition node of the first acquisition node in the external acquisition event and acquiring an image of the next acquisition node.
7. The data collection method of claim 1, wherein the guiding the collection of data based on the collection of collection events in the collection strategy comprises:
calling the user terminal, acquiring images of all internal units of the internal acquisition events in the acquisition strategy, and displaying acquisition guide information of all internal units;
and calling the user terminal to play the voice question of the internal acquisition event, and acquiring the voice material corresponding to the voice question.
8. The data collection method of claim 7, wherein the collecting images of each internal unit of the internal collection event in the collection strategy and displaying the collection guidance information of each internal unit comprises:
acquiring an image data stream of the internal acquisition event;
identifying an internal unit corresponding to a target image in the image data stream, and verifying whether the target image meets image acquisition parameters of the corresponding internal unit;
if not, determining and displaying the adjustment parameters for image acquisition in the corresponding internal unit based on the image acquisition parameters.
9. The data collection method of claim 1, wherein the invoking of the user terminal of the user to execute a location verification event in the collection policy and perform data collection based on collection guidance of the collection event in the collection policy after the verification is passed comprises:
remotely calling the user terminal to acquire the regional position information of the fixed asset and determining a geographical region corresponding to the regional position information;
if the geographic region is matched with the region address field in the address information, displaying acquisition guide information of an external acquisition event in the acquisition strategy through the user terminal and carrying out image acquisition;
remotely calling the user terminal to acquire asset position information of the fixed asset;
if the asset position information is matched with the detail address field contained in the address information, remotely calling the user terminal to play the voice question of the internal acquisition event, acquiring the voice material corresponding to the voice question, carrying out image acquisition of the internal acquisition event in the acquisition strategy and displaying acquisition guide information.
10. The data acquisition method according to claim 1, wherein the synthesizing of the target image of the fixed asset included in the data stream obtained by data acquisition comprises:
extracting target images containing each internal unit in the data stream;
and carrying out image synthesis on the target image to obtain a synthetic image of the fixed asset.
11. The data acquisition method according to claim 10, further comprising, after the step of performing the synthesis processing on the target image of the fixed asset included in the data stream obtained by the data acquisition, the step of:
and checking the composite image with an asset image contained in the asset information to evaluate the fixed asset according to a checking result.
12. The data acquisition method according to claim 1, further comprising, after the step of performing the synthesis processing on the target image of the fixed asset included in the data stream obtained by the data acquisition, the step of:
aggregating the asset information, the data stream and a composite image obtained by composite processing to obtain a data set of the fixed asset;
and evaluating the fixed asset based on the data set to determine the evaluation limit of the fixed asset.
13. The data collection method of claim 3, wherein determining the external collection event and the location verification event according to the resolved area address field and/or detail address field comprises:
determining the external acquisition event based on an address hierarchy contained in the area address field;
determining the location verification event according to the area address field and the detail address field;
wherein the location verification event comprises: the area address field and/or detail address field is verified based on the collected area location information and/or asset location information.
14. The data collection method of claim 3, said determining an internal collection event based on said structural information and said asset status comprising:
determining an internal acquisition event for image acquisition of each internal unit based on the structural information and for voice material acquisition based on the asset status.
15. A data acquisition device comprising:
the acquisition strategy determining module is configured to determine an acquisition strategy according to the asset information of the fixed asset submitted by a user;
the data acquisition module is configured to call the user terminal of the user to execute the position verification event in the acquisition strategy and acquire data based on the acquisition guidance of the acquisition event in the acquisition strategy after the verification is passed;
and the synthesis processing module is configured to perform synthesis processing on the target image of the fixed asset contained in the data stream obtained by data acquisition.
16. A data acquisition device comprising:
a processor; and a memory configured to store computer-executable instructions that, when executed, cause the processor to:
determining an acquisition strategy according to the asset information of the fixed asset submitted by a user;
calling the user terminal of the user to execute the position verification event in the acquisition strategy, and acquiring data based on the acquisition guidance of the acquisition event in the acquisition strategy after the verification is passed;
and synthesizing the target image of the fixed asset contained in the data stream obtained by data acquisition.
17. A storage medium storing computer-executable instructions that when executed by a processor implement the following:
determining an acquisition strategy according to the asset information of the fixed asset submitted by a user;
calling the user terminal of the user to execute the position verification event in the acquisition strategy, and acquiring data based on the acquisition guidance of the acquisition event in the acquisition strategy after the verification is passed;
and synthesizing the target image of the fixed asset contained in the data stream obtained by data acquisition.
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