CN116777207A - Risk assessment method, risk assessment device, electronic equipment and readable storage medium - Google Patents
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Abstract
The embodiment of the specification discloses a risk assessment method, a risk assessment device, an electronic device and a readable storage medium, wherein the risk assessment method comprises the following steps: and acquiring environment video data, operation video data and geographic position information of the target enterprise, obtaining space data of the target enterprise according to the environment video data and the geographic position information, extracting key information of the target enterprise from the operation video data, and performing risk analysis on the target enterprise according to the space data and the key information to obtain a risk assessment result of the target enterprise.
Description
Technical Field
The present document relates to the field of enterprise risk assessment, and in particular, to a risk assessment method, a risk assessment device, an electronic device, and a readable storage medium.
Background
The traditional due-job investigation mode requires a customer manager to go to an enterprise site to perform work such as field investigation and data collection, a large number of activities such as transportation, document printing and the like are required, and a large number of pollutants such as carbon dioxide and the like can be generated. This not only costs a lot of time and labor, but also goes against the low-carbon and environment-friendly concept. Therefore, there is a need for a more environmentally friendly and efficient method of performing due diligence to perform risk assessment and due diligence investigation on an enterprise.
Disclosure of Invention
The embodiment of the application aims to provide a risk assessment method, a risk assessment device, electronic equipment and a readable storage medium, which are used for solving the problems that a traditional due investigation mode consumes a great deal of time cost and labor cost and is low in efficiency.
In order to solve the technical problems, the embodiment of the application is realized as follows:
in a first aspect, a risk assessment method is provided, where the method is applied to a terminal device and includes:
collecting environment video data and operation video data of a target enterprise and geographic position information of the target enterprise;
obtaining the space data of the target enterprise according to the environment video data and the geographic position information;
extracting key information of the target enterprise from the operation video data;
and carrying out risk analysis on the target enterprise according to the space data and the key information to obtain a risk assessment result of the target enterprise.
In a second aspect, a terminal device is provided, including:
the video data acquisition unit acquires environment video data and operation video data of a target enterprise and geographic position information of the target enterprise;
the space data acquisition unit is used for acquiring the space data of the target enterprise according to the environment video data and the geographic position information;
an information extraction unit for extracting key information of the target enterprise from the operation video data;
and the risk analysis unit is used for carrying out risk analysis on the target enterprise according to the space data and the key information to obtain a risk assessment result of the target enterprise.
In a third aspect, an electronic device is provided, comprising:
a processor; and
a memory arranged to store computer executable instructions that, when executed, cause the processor to:
collecting environment video data and operation video data of a target enterprise and geographic position information of the target enterprise;
obtaining the space data of the target enterprise according to the environment video data and the geographic position information;
extracting key information of the target enterprise from the operation video data;
and carrying out risk analysis on the target enterprise according to the space data and the key information to obtain a risk assessment result of the target enterprise.
In a fourth aspect, a computer-readable storage medium storing one or more programs that, when executed by an electronic device comprising a plurality of application programs, cause the electronic device to:
collecting environment video data and operation video data of a target enterprise and geographic position information of the target enterprise;
obtaining the space data of the target enterprise according to the environment video data and the geographic position information;
extracting key information of the target enterprise from the operation video data;
and carrying out risk analysis on the target enterprise according to the space data and the key information to obtain a risk assessment result of the target enterprise.
As can be seen from the technical solutions provided by the embodiments of the present specification, the embodiments of the present specification have at least one of the following technical effects:
acquiring environment video data, operation video data and geographic position information of a target enterprise, obtaining space data of the target enterprise according to the environment video data and the geographic position information, extracting key information of the target enterprise from the operation video data by utilizing a computer vision technology, and performing risk analysis on the target enterprise based on an informatization means and the space data and the key information to obtain a risk assessment result of the target enterprise; therefore, the digitization of the due-job investigation is realized, the efficiency and the accuracy of the due-job investigation are improved, and the time cost and the labor cost are reduced.
Drawings
In order to more clearly illustrate the embodiments of the present description or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some of the embodiments described in the present description, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic connection diagram of a terminal device and a camera device provided in one or more embodiments of the present specification.
Fig. 2 is a schematic flow chart of an implementation of a risk assessment method according to an embodiment of the present disclosure.
Fig. 3 is a schematic structural diagram of a risk assessment device according to an embodiment of the present disclosure.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.
Detailed Description
For the purposes, technical solutions and advantages of this document, the technical solutions of this specification will be clearly and completely described below with reference to specific embodiments of this specification and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present specification. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are intended to be within the scope of the present disclosure.
The following describes in detail the technical solutions provided by the embodiments of the present application with reference to the accompanying drawings.
In the background art, in the conventional due-job investigation process, a customer manager is required to go to a target enterprise to perform work such as field investigation and data collection so as to know the situation of the enterprise, and the due-job investigation mode requires a large number of activities such as transportation, document printing and the like, consumes a large amount of labor cost and time cost, generates a large amount of pollutants such as carbon dioxide and the like, and is low in efficiency and not environment-friendly. In order to agree with the idea of low carbon and environmental protection, the embodiment of the specification provides a risk assessment method, which can collect environmental video data and operation video data of a target enterprise through an unmanned aerial vehicle carrying a high-definition camera and/or a fixed camera device, collect geographic position information of the target enterprise through a GPS (global positioning system) positioning system or a high-definition electronic map, combine the environmental video data and the geographic position information to obtain spatial data of the target enterprise, then extract key information of the target enterprise from the operation video data by utilizing a computer vision technology, and finally perform risk analysis on the target enterprise based on an informatization means and combining the spatial data and the key information to obtain a risk assessment result of the target enterprise; therefore, the digitization of the due-job investigation is realized, the efficiency and the accuracy of the due-job investigation are improved, and the time cost and the labor cost are reduced.
Fig. 1 is a schematic connection diagram of a terminal device and a camera device provided in one or more embodiments of the present disclosure, as shown in fig. 1, a terminal device 120 may be connected to at least one camera device 140 by a wired network or a wireless network, the terminal device 120 may be a device such as a mobile phone, a tablet computer, a notebook computer, etc., and the camera device 140 may be a device such as a camera, a micro camera, a high-definition camera mounted on an unmanned aerial vehicle, etc. The terminal device 120 may control the camera device 140 to record video, collect environmental video data and operate video data. In one embodiment, the camera device 140 is further equipped with a GPS positioning system or a beidou navigation positioning system, for positioning the current geographic location while recording video.
The execution subject of the risk assessment method provided in the embodiments of the present disclosure may be, but is not limited to, at least one of an electronic device, such as a mobile phone, a tablet computer, a notebook computer, or a risk assessment device, that can be configured to perform the risk assessment method provided in the embodiments of the present disclosure, for example, the terminal device in fig. 1, or the execution subject of the method may also be a client (such as an application that can be used for risk assessment) itself that can perform the method.
For convenience of description, the implementation of the method will be described below by taking an implementation subject of the method as an electronic device capable of implementing the risk assessment method, where the electronic device may specifically be an electronic device such as a mobile phone, a tablet computer, a notebook computer, or a risk assessment device. It will be appreciated that the subject of execution of the method is an exemplary illustration of an electronic device and should not be construed as limiting the method.
Fig. 2 is a schematic flow chart of an implementation of a risk assessment method according to one or more embodiments of the present disclosure, including:
s101, acquiring environment video data and operation video data of a target enterprise and geographic position information of the target enterprise.
The environment video data is video data including an environment within a predetermined range of the target enterprise, for example, the environment within the predetermined range may be building information within the predetermined range of the target enterprise or traffic information within the predetermined range of the target enterprise, and the predetermined range may be, but is not limited to, 200 meters, 300 meters, and the like. By way of example, the environmental video data is building information and traffic information, etc. within 300 meters around the target business.
The operation video data is video data including an operation condition of the target enterprise, for example, the operation video data may include, but is not limited to, personnel scale information of the target enterprise, production equipment information of the target enterprise, production scale information of the target enterprise, operation time information of the target enterprise, and operation industry type of the target enterprise.
The geographic location information comprises information such as geographic location, topography, and the like of the target enterprise.
It should be appreciated that, in the risk assessment method provided in this embodiment, the environmental video data and the operation video data may be obtained by carrying a high-definition camera on an unmanned aerial vehicle, and/or the environmental video data and the operation video data may be obtained by manually recording video, and/or the environmental video data and the operation video data may be obtained by installing a fixed camera at a plurality of designated positions. For example, the unmanned aerial vehicle with the high-definition camera can be controlled by a mobile phone to collect the environmental video data of a preset time period in real time within a range of 300 meters around and above the target enterprise, and the preset time period can be, but is not limited to, one week or one month.
It should be understood that, in the risk assessment method provided in this embodiment, the geographical location information of the target enterprise may be obtained through a GPS positioning system, a beidou navigation positioning system, or a high-precision electronic map, or the geographical location information of the target enterprise may be obtained through a network or telephone online manner. It should be noted that, the geographic location information of the target enterprise can be acquired through a GPS positioning system, a beidou navigation positioning system or a high-precision electronic map while the environmental video data is acquired, and the geographic location information of the target enterprise can also be acquired in the above manner before and after the environmental video data is acquired.
And S103, obtaining the spatial data of the target enterprise according to the environmental video data and the geographic position information.
In one possible implementation, the spatial data of the target enterprise may be obtained based on a geographic information system (Geographic Information Systems, GIS) technology in combination with the environmental video data and the geographic location information.
The GIS technology is a product of various disciplines crossing, is based on geographic space, adopts a geographic model analysis method to provide various spatial and dynamic geographic information in real time, and is a computer technology system for serving geographic research and geographic decision. The basic function is to convert the data into geographic graphic display, and then browse, operate and analyze the display results. The display can range from an intercontinental map to a very detailed block map, with objects of display including population, sales, traffic, transportation lines, and other content.
Therefore, the spatial data of the target enterprise in the geographic position can be obtained by combining the geographic position information of the target enterprise in space with the building information and the traffic information around the target enterprise based on the GIS technology.
S105, extracting key information of a target enterprise from the operation video data.
In a possible implementation manner, the operation video data may be preprocessed, then the feature analysis is performed on the operation video data after the preprocessing operation based on the computer vision technology, and the key information in the operation video data after the preprocessing operation is extracted.
The preprocessing operation includes at least one of video format conversion, noise removal and image stabilization, and is exemplified by converting the format of the operation video data, removing noise in the operation video data and performing image stabilization processing on the operation video data, so as to ensure usability of the operation video data.
The computer vision technology may be, but is not limited to, a graph neural network (Graph Neural Network, GNN) technology, where GNN refers to an algorithm overview that uses a neural network to learn graph structure data, extract and discover features and patterns in the graph structure data, and meet the requirements of graph learning tasks such as clustering, classification, prediction, segmentation, and generation.
Therefore, the characteristic analysis can be performed on the operation video data after the preprocessing operation based on the GNN technology, and key information in the operation video data after the preprocessing operation can be extracted. Exemplary, firstly, extracting key frames in operation video data based on GNN technology, then performing feature analysis on the extracted key frames, for example, performing face recognition, target tracking, behavior analysis, entity recognition and the like on the key frames, performing face recognition and target tracking on the key frames of the operation video data, namely, performing target tracking on the face after recognizing the face, so as to recognize personnel scale information and the like of a target enterprise, and performing behavior analysis on the face after recognizing the face so as to recognize business time information of the target enterprise, business type and the like of the target enterprise; and finally, taking the characteristic information in the extracted key frame as key information.
It should be understood that the above-described key information includes, but is not limited to, personnel scale information of the target enterprise, production equipment information of the target enterprise, production scale information of the target enterprise, business time information of the target enterprise, and business type of the target enterprise.
And S107, performing risk analysis on the target enterprise according to the space data and the key information to obtain a risk assessment result of the target enterprise.
In one possible implementation, a comprehensive assessment result of the target enterprise may be generated based on a geographic information system (Geographic Information Systems, GIS) technology in combination with the spatial data and the key information, and then a risk status of the target enterprise may be determined according to the comprehensive assessment result.
GIS is an information system which uses computer software and hardware system to collect, store, manage, analyze and express space data.
Therefore, the GIS technology can be utilized to comprehensively analyze the space data and the key information of the target enterprise, and the risk assessment result of the target enterprise is obtained. By way of example, the geographic location, the topography, the personnel scale information, the production equipment information, the production scale information, the operation time information and the operation industry type of the target enterprise are comprehensively analyzed by using the GIS technology to obtain the risk assessment result of the target enterprise.
It should be understood that, by the risk assessment method provided by the embodiment, the geographical location information, the key information and the comprehensive assessment result are stored and managed, so that enterprise information is efficiently collected and tidied, the method can be used for subsequent data analysis and query, the utilization value of the data can be improved, and the method can be used for credit decision of a target enterprise, for example.
In one embodiment, the early warning prompt information is sent out under the condition that the comprehensive evaluation result shows that the target enterprise has risks. For example, assume that a target enterprise is named as ABC finite liability company, the ABC finite liability company is displayed in the submitted data when the account is opened, the office place of the ABC finite liability company is S, then the ABC finite liability company is not found at S place through a GPS positioning system, a beidou navigation positioning system or a high-precision electronic map, which indicates that the ABC finite liability company has a high possibility of being a blank company, and at the moment, the ABC finite liability company is displayed as a blank company in the comprehensive evaluation result, and early warning prompt information is sent. For another example, the target enterprise named as the DEF finite-responsibility company shows that the personnel scale of the DEF finite-responsibility company is 300 persons in the data submitted when credit loan is carried out, the related production equipment is 50, the personnel scale of the DEF finite-responsibility company is less than 100 persons through carrying out face recognition, target tracking, behavior analysis and entity identification on operation video data acquired by an unmanned plane, the related production equipment is only 10 persons, and the information can show the real operation conditions of the DEF finite-responsibility company and reflect the real operation conditions in the comprehensive evaluation result of the DEF finite-responsibility company to be used as the reference information of the credit line of the DEF finite-responsibility company.
In summary, in the risk assessment method provided by the embodiment, the environmental video data and the operation video data of the target enterprise are collected through the unmanned aerial vehicle or the fixed camera, the geographic position information of the target enterprise is obtained through the GPS positioning system, the Beidou navigation positioning system or the high-precision electronic map, the spatial data of the target enterprise is obtained by combining the environmental video data and the geographic position information based on the GIS technology, then the key information of the target enterprise is extracted from the operation video data by utilizing the computer vision technology, and the risk analysis is performed on the target enterprise by combining the spatial data and the key information based on the informatization means, so that the risk assessment result of the target enterprise is obtained; therefore, the digitization of the due-job investigation is realized, the efficiency and the accuracy of the due-job investigation are improved, the time cost and the labor cost are reduced, and the efficient collection and arrangement of the enterprise information are realized.
Fig. 3 is a schematic structural diagram of a risk assessment apparatus 400 provided in one or more embodiments of the present disclosure, including:
a video data acquisition unit 410 for acquiring environmental video data and operation video data of a target enterprise, and geographic location information of the target enterprise;
a spatial data obtaining unit 420, configured to obtain spatial data of the target enterprise according to the environmental video data and the geographic location information;
an information extraction unit 430 that extracts key information of the target enterprise from the operation video data;
and the risk analysis unit 440 performs risk analysis on the target enterprise according to the spatial data and the key information, so as to obtain a risk assessment result of the target enterprise.
In one embodiment, alternatively,
the environment video data and the operation video data are acquired through unmanned aerial vehicles, manual video recording or fixed cameras; and/or
The geographic position information is obtained through a GPS positioning system, a Beidou navigation positioning system or a high-precision electronic map.
Optionally, in an embodiment, the information extraction unit 430 is configured to:
performing at least one of three preprocessing operations of video format conversion, noise removal and image stabilization on the operation video data;
and performing feature analysis on the operation video data after the preprocessing operation based on a computer vision technology, and extracting key information in the operation video data after the preprocessing operation.
In one embodiment, alternatively,
the environment video data comprises building information within a preset range of the target enterprise and traffic information within the preset range of the target enterprise.
Optionally, in one embodiment, the operation video data includes at least one of: the personnel scale information of the target enterprise, the production equipment information of the target enterprise, the production scale information of the target enterprise, the business time information of the target enterprise and the business industry type of the target enterprise;
the key information includes at least one of the following: the system comprises personnel scale information of the target enterprise, production equipment information of the target enterprise, production scale information of the target enterprise, business time information of the target enterprise and business industry types of the target enterprise.
Optionally, in one embodiment, the risk analysis unit 440 is configured to:
based on a geographic information system technology, combining the spatial data and the key information to generate a comprehensive evaluation result of the target enterprise;
and determining the risk condition of the target enterprise according to the comprehensive evaluation result.
Optionally, in one embodiment, the risk analysis unit 440 is configured to:
and sending out early warning prompt information under the condition that the comprehensive evaluation result shows that the target enterprise has risks.
Optionally, in one embodiment, the risk analysis unit 440 is configured to:
and storing the geographic position information, the key information and the comprehensive evaluation result, wherein the stored data are used for credit decision of the target enterprise.
The risk assessment apparatus 400 can implement the method of the method embodiment of fig. 1, and specifically, reference may be made to the risk assessment method of the embodiment of fig. 1, which is not described herein.
Fig. 4 is a schematic structural view of an electronic device according to an embodiment of the present specification. Referring to fig. 4, at the hardware level, the electronic device includes a processor, and optionally an internal bus, a network interface, and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory (non-volatile Memory), such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.
The processor, network interface, and memory may be interconnected by an internal bus, which may be an ISA (Industry Standard Architecture ) bus, a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus, or EISA (Extended Industry Standard Architecture ) bus, among others. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one bi-directional arrow is shown in FIG. 4, but not only one bus or type of bus.
And the memory is used for storing programs. In particular, the program may include program code including computer-operating instructions. The memory may include memory and non-volatile storage and provide instructions and data to the processor.
The processor reads the corresponding computer program from the nonvolatile memory into the memory and then runs the computer program to form the risk assessment device on a logic level. The processor is used for executing the programs stored in the memory and is specifically used for executing the following operations:
collecting environment video data and operation video data of a target enterprise and geographic position information of the target enterprise;
obtaining the space data of the target enterprise according to the environment video data and the geographic position information;
extracting key information of the target enterprise from the operation video data;
and carrying out risk analysis on the target enterprise according to the space data and the key information to obtain a risk assessment result of the target enterprise.
Acquiring environment video data and operation video data of a target enterprise through an unmanned plane or a fixed camera, acquiring geographic position information of the target enterprise through a GPS positioning system, a Beidou navigation positioning system or a high-precision electronic map, combining the environment video data and the geographic position information based on a GIS technology to acquire space data of the target enterprise, extracting key information of the target enterprise from the operation video data by utilizing a computer vision technology, and performing risk analysis on the target enterprise based on an informatization means and combining the space data and the key information to acquire a risk assessment result of the target enterprise; therefore, the digitization of the due-job investigation is realized, the efficiency and the accuracy of the due-job investigation are improved, the time cost and the labor cost are reduced, and the efficient collection and arrangement of the enterprise information are realized.
The risk assessment method disclosed in the embodiment of fig. 2 of the present application can be applied to a processor or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or by instructions in the form of software. The processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but also digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be embodied directly in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software modules in a decoding processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method.
The electronic device may also execute the method of fig. 2 and implement the functions of the risk assessment apparatus in the embodiment shown in fig. 3, which is not described herein.
Of course, other implementations, such as a logic device or a combination of hardware and software, are not excluded from the electronic device of the present application, that is, the execution subject of the following processing flows is not limited to each logic unit, but may be hardware or a logic device.
The embodiments of the present application also provide a computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a portable electronic device comprising a plurality of application programs, enable the portable electronic device to perform the method of the embodiment of fig. 4, and in particular to perform the operations of:
collecting environment video data and operation video data of a target enterprise and geographic position information of the target enterprise;
obtaining the space data of the target enterprise according to the environment video data and the geographic position information;
extracting key information of the target enterprise from the operation video data;
and carrying out risk analysis on the target enterprise according to the space data and the key information to obtain a risk assessment result of the target enterprise.
Of course, in addition to the software implementation, the electronic device in this specification does not exclude other implementations, such as a logic device or a combination of software and hardware, that is, the execution subject of the following process is not limited to each logic unit, but may also be hardware or a logic device.
The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can 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 are also possible or may be advantageous.
In summary, the foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
The system, apparatus, module or unit set forth in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function. One typical implementation is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, 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.
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 storage media for a computer 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 tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
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 one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.
Claims (11)
1. A risk assessment method, the method comprising:
collecting environment video data and operation video data of a target enterprise and geographic position information of the target enterprise;
obtaining the space data of the target enterprise according to the environment video data and the geographic position information;
extracting key information of the target enterprise from the operation video data;
and carrying out risk analysis on the target enterprise according to the space data and the key information to obtain a risk assessment result of the target enterprise.
2. The method according to claim 1,
the environment video data and the operation video data are acquired through unmanned aerial vehicles, manual video recording or fixed cameras; and/or
The geographic position information is obtained through a GPS positioning system, a Beidou navigation positioning system or a high-precision electronic map.
3. The method of claim 1 or 2, extracting key information of the target enterprise from the operational video data, comprising:
performing at least one of three preprocessing operations of video format conversion, noise removal and image stabilization on the operation video data;
and performing feature analysis on the operation video data after the preprocessing operation based on a computer vision technology, and extracting key information in the operation video data after the preprocessing operation.
4. The method of any of claims 1-3, the environmental video data comprising building information within a preset range of the target business and traffic information within the preset range of the target business.
5. A method according to claim 3,
the operational video data includes at least one of: the personnel scale information of the target enterprise, the production equipment information of the target enterprise, the production scale information of the target enterprise, the business time information of the target enterprise and the business industry type of the target enterprise;
the key information includes at least one of the following: the system comprises personnel scale information of the target enterprise, production equipment information of the target enterprise, production scale information of the target enterprise, business time information of the target enterprise and business industry types of the target enterprise.
6. The method of claim 1, wherein performing risk analysis on the target enterprise according to the spatial data and the key information to obtain a risk assessment result of the target enterprise comprises:
based on a geographic information system technology, combining the spatial data and the key information to generate a comprehensive evaluation result of the target enterprise;
and determining the risk condition of the target enterprise according to the comprehensive evaluation result.
7. The method of claim 6, further comprising:
and sending out early warning prompt information under the condition that the comprehensive evaluation result shows that the target enterprise has risks.
8. The method of claim 6, further comprising:
and storing the geographic position information, the key information and the comprehensive evaluation result, wherein the stored data are used for credit decision of the target enterprise.
9. A risk assessment apparatus, the apparatus comprising:
the video data acquisition unit acquires environment video data and operation video data of a target enterprise and geographic position information of the target enterprise;
the space data acquisition unit is used for acquiring the space data of the target enterprise according to the environment video data and the geographic position information;
an information extraction unit for extracting key information of the target enterprise from the operation video data;
and the risk analysis unit is used for carrying out risk analysis on the target enterprise according to the space data and the key information to obtain a risk assessment result of the target enterprise.
10. An electronic device, comprising:
a processor; and
a memory arranged to store computer executable instructions that, when executed, cause the processor to:
collecting environment video data and operation video data of a target enterprise and geographic position information of the target enterprise;
obtaining the space data of the target enterprise according to the environment video data and the geographic position information;
extracting key information of the target enterprise from the operation video data;
and carrying out risk analysis on the target enterprise according to the space data and the key information to obtain a risk assessment result of the target enterprise.
11. A computer-readable storage medium storing one or more programs that, when executed by an electronic device comprising a plurality of application programs, cause the electronic device to:
collecting environment video data and operation video data of a target enterprise and geographic position information of the target enterprise;
obtaining the space data of the target enterprise according to the environment video data and the geographic position information;
extracting key information of the target enterprise from the operation video data;
and carrying out risk analysis on the target enterprise according to the space data and the key information to obtain a risk assessment result of the target enterprise.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310727549.XA CN116777207A (en) | 2023-06-19 | 2023-06-19 | Risk assessment method, risk assessment device, electronic equipment and readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310727549.XA CN116777207A (en) | 2023-06-19 | 2023-06-19 | Risk assessment method, risk assessment device, electronic equipment and readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116777207A true CN116777207A (en) | 2023-09-19 |
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ID=88012810
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310727549.XA Pending CN116777207A (en) | 2023-06-19 | 2023-06-19 | Risk assessment method, risk assessment device, electronic equipment and readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116777207A (en) |
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2023
- 2023-06-19 CN CN202310727549.XA patent/CN116777207A/en active Pending
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