Wind survey report quality inspection method and device, computer equipment and storage medium

Abstract

The invention provides a wind exploration report quality inspection method and device, computer equipment and a storage medium. The method comprises the following steps: determining a picture pre-inspection result of a wind exploration report; if the picture pre-inspection result meets a preset condition, determining a character quality evaluation result, a picture quality evaluation result, a historical report quality evaluation result, a hidden danger quantity evaluation result and a service duration evaluation result of the wind exploration report based on the wind exploration report intelligent quality inspection model; and based on the character quality evaluation result, the picture quality evaluation result, the historical report quality evaluation result, the hidden danger quantity evaluation result and the service duration evaluation result, determining an overall quality inspection result of the quality inspection report. By implementing the method disclosed by the invention, automation of wind survey report quality inspection can be realized, the quality inspection efficiency is improved, the labor cost is reduced, and the reliability of the quality inspection result is ensured.

Description

Technical Field

[0001] The present disclosure relates to the technical field of software development, and in particular to a method, device, computer equipment and storage medium for quality inspection of wind survey reports. Background Art

[0002] When corporate clients purchase insurance, they need wind surveyors to conduct a detailed and professional risk assessment and form a wind survey report as a basis for judging whether the corporate clients meet the insurance requirements. If the report quality is too poor, some eligible clients may be rejected for insurance, while unqualified clients may be approved for insurance, resulting in losses to the company's assets. Therefore, a high-quality wind survey report is very necessary.

[0003] In the related technology, when quality inspection of wind survey reports is carried out, it is usually based on manual review, which is inefficient, slow, has high labor costs and the quality is too dependent on the level of the reviewer. Summary of the invention

[0004] The present disclosure aims to solve one of the technical problems in the related art at least to some extent.

[0005] To this end, the purpose of the present invention is to propose a wind survey report quality inspection method, device, computer equipment and storage medium, which can realize the automation of wind survey report quality inspection, improve quality inspection efficiency, reduce labor costs, and ensure the reliability of quality inspection results.

[0006] To achieve the above-mentioned purpose, a wind survey report quality inspection method proposed in an embodiment of the first aspect of the present disclosure includes:

[0007] Determine the image pre-inspection results of the wind survey report;

[0008] If the image pre-inspection result meets the preset conditions, the text quality assessment result, image quality assessment result, historical report quality assessment result, hidden danger quantity assessment result and service time assessment result of the wind survey report are determined based on the wind survey report intelligent quality inspection model;

[0009] Based on the text quality assessment result, the picture quality assessment result, the historical report quality assessment result, the hidden danger quantity assessment result and the service time assessment result, the overall quality inspection result of the quality inspection report is determined.

[0010] To achieve the above-mentioned purpose, a wind survey report quality inspection device proposed in a second aspect of the present disclosure includes:

[0011] The first determination module is used to determine the image pre-inspection results of the wind survey report;

[0012] The second determination module is used to determine the text quality assessment result, picture quality assessment result, historical report quality assessment result, hidden danger quantity assessment result and service time assessment result of the wind survey report based on the wind survey report intelligent quality inspection model when the picture pre-inspection result meets the preset conditions;

[0013] The third determination module is used to determine the overall quality inspection result of the quality inspection report based on the text quality assessment result, the picture quality assessment result, the historical report quality assessment result, the hidden danger quantity assessment result and the service time assessment result.

[0014] The computer device proposed in the third aspect embodiment of the present disclosure includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the wind survey report quality inspection method proposed in the first aspect embodiment of the present disclosure is implemented.

[0015] The fourth aspect embodiment of the present disclosure proposes a non-temporary computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the wind survey report quality inspection method proposed in the first aspect embodiment of the present disclosure.

[0016] The fifth aspect of the present disclosure provides a computer program product. When the instructions in the computer program product are executed by a processor, the wind survey report quality inspection method provided in the first aspect of the present disclosure is performed.

[0017] The wind survey report quality inspection method, device, computer equipment and storage medium provided by the present disclosure determine the image pre-inspection results of the wind survey report; if the image pre-inspection results meet the preset conditions, the text quality assessment results, image quality assessment results, historical report quality assessment results, hidden danger quantity assessment results and service time assessment results of the wind survey report are determined based on the wind survey report intelligent quality inspection model; based on the text quality assessment results, image quality assessment results, historical report quality assessment results, hidden danger quantity assessment results and service time assessment results, the overall quality inspection results of the quality inspection report are determined. In this way, the automation of wind survey report quality inspection can be realized, the quality inspection efficiency can be improved, the labor cost can be reduced, and the reliability of the quality inspection results can be guaranteed.

[0018] Additional aspects and advantages of the present disclosure will be given in part in the following description and in part will be obvious from the following description or learned through practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The above and / or additional aspects and advantages of the present disclosure will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0020] Figure 1It is a flow chart of a wind survey report quality inspection method proposed in an embodiment of the present disclosure;

[0021] Figure 2 is a flow chart of a wind survey report quality inspection method proposed in another embodiment of the present disclosure;

[0022] Figure 3 It is a schematic diagram of the wind survey intelligent quality assessment process proposed in this disclosure;

[0023] Figure 4 It is a structural schematic diagram of a wind survey report quality inspection device proposed in an embodiment of the present disclosure;

[0024] Figure 5 A block diagram of an exemplary computer device suitable for implementing embodiments of the present disclosure is shown. DETAILED DESCRIPTION

[0025] Embodiments of the present disclosure are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present disclosure, and are not to be construed as limitations of the present disclosure. On the contrary, the embodiments of the present disclosure include all changes, modifications, and equivalents that fall within the spirit and connotation of the appended claims.

[0026] Figure 1 It is a flowchart of a wind survey report quality inspection method proposed in an embodiment of the present disclosure.

[0027] Among them, it should be noted that the executor of the wind survey report quality inspection method of this embodiment is a wind survey report quality inspection device, which can be implemented by software and / or hardware. The device can be configured in a computer device, and the computer device can include but is not limited to a terminal, a server, etc. For example, the terminal can be a mobile phone, a handheld computer, etc.

[0028] like Figure 1 As shown, the quality inspection method of the wind survey report includes:

[0029] S101: Determine the image pre-inspection result of the wind survey report.

[0030] Among them, the wind survey report refers to the report formed by the wind survey personnel when the corporate customer takes out insurance, through a detailed and professional risk assessment.

[0031] Among them, the picture pre-inspection result refers to the inspection result formed by the preliminary quality inspection of the pictures in the wind survey report before the comprehensive quality inspection of the wind survey report, which can be used to indicate the quality of the wind survey report in the picture dimension.

[0032] In the disclosed embodiment, when determining the image pre-inspection result of the wind survey report, the wind survey report can be input into a pre-trained image pre-inspection machine learning model to obtain the image pre-inspection result, or it can be based on a third-party image pre-inspection device, which is not limited.

[0033] Optionally, in some embodiments, when determining the image pre-check result of the wind survey report, the total number of images in the wind survey report may be determined; the number of repeated images in the wind survey report compared with the historical report is determined, wherein the historical report refers to the wind survey report that has completed quality inspection; and the image pre-check result is generated based on the total number of images and the number of repeated images. In this way, the practicality of the obtained image pre-check result can be effectively improved.

[0034] That is to say, in the embodiment of the present disclosure, the pictures in the wind survey report can be pre-checked to obtain the picture pre-check results, thereby realizing the preliminary quality inspection of the wind survey report, providing a reliable evaluation standard for the subsequent determination of whether to conduct a comprehensive quality inspection, thereby saving computing costs.

[0035] S102: If the image pre-inspection result meets the preset conditions, the text quality assessment result, image quality assessment result, historical report quality assessment result, hidden danger quantity assessment result and service time assessment result of the wind survey report are determined based on the wind survey report intelligent quality inspection model.

[0036] The preset condition may refer to a condition set in advance for the image pre-check result to preliminarily determine whether the wind survey report is of qualified quality. The condition may be flexibly configured based on the different contents indicated by the image pre-check result, and there is no limitation on this.

[0037] Among them, the intelligent quality inspection model of the wind survey report may refer to a pre-trained model for performing quality inspection on various dimensions of the wind survey report.

[0038] Among them, the text quality assessment results can be used to indicate the quality of the wind survey report in the text dimension.

[0039] Among them, the picture quality assessment result can be used to indicate the quality of the wind survey report in the picture dimension.

[0040] The historical report quality assessment result can be used to indicate the quality of the historical report of the user who wrote the wind survey report.

[0041] Among them, the hidden danger quantity assessment results can be used to indicate the quality of the hidden dangers revealed by the wind survey report, which can be determined based on the number of hidden dangers involved in the report.

[0042] The service time evaluation result refers to the quality of the wind survey report determined based on the on-site service time corresponding to the wind survey report. For example, the service time evaluation result may be better as the service time increases.

[0043] Optionally, in some embodiments, the preset condition may include: the total number of pictures is greater than a first preset value; and the difference between the total number of pictures and the number of repeated pictures is greater than a second preset value. Thus, the corresponding screening conditions can be accurately indicated for the total number of pictures and the difference to ensure the reliability of the pre-check process.

[0044] The first preset value refers to a threshold value configured in advance for the total number of pictures in the wind survey report.

[0045] The second preset value refers to a threshold value configured in advance for the difference between the total number of pictures and the number of repeated pictures.

[0046] It can be understood that the specific values ​​of the first preset value and the second preset value can be flexibly configured in combination with the requirements of the application scenario, and there is no limitation on this.

[0047] That is to say, in the embodiment of the present disclosure, when it is determined that the image pre-inspection results meet the preset conditions, the text quality assessment results, image quality assessment results, historical report quality assessment results, hidden danger quantity assessment results and service time assessment results of the wind survey report can be determined based on the intelligent quality inspection model of the wind survey report, thereby providing reliable reference information for the subsequent determination of the overall quality inspection results of the quality inspection report.

[0048] S103: Determine the overall quality inspection result of the quality inspection report based on the text quality assessment results, the image quality assessment results, the historical report quality assessment results, the hidden danger quantity assessment results and the service time assessment results.

[0049] Among them, the overall quality inspection result refers to the result used to indicate the overall quality of the quality inspection report.

[0050] In the disclosed embodiments, when determining the overall quality inspection result of the quality inspection report based on the text quality assessment results, picture quality assessment results, historical report quality assessment results, hidden danger quantity assessment results and service time assessment results, the text quality assessment results, picture quality assessment results, historical report quality assessment results, hidden danger quantity assessment results and service time assessment results can be input into a pre-trained machine learning model to obtain the corresponding overall quality inspection result. Alternatively, the overall quality inspection result of the quality inspection report can be determined based on the text quality assessment results, picture quality assessment results, historical report quality assessment results, hidden danger quantity assessment results and service time assessment results based on a method combining numbers and shapes, and there is no limitation to this.

[0051] Optionally, in some embodiments, when determining the overall quality inspection result of the quality inspection report based on the text quality assessment result, the picture quality assessment result, the historical report quality assessment result, the hidden danger quantity assessment result, and the service time assessment result, it can be: based on the text quality assessment result, determine the first score value; based on the picture quality assessment result, determine the second score value; based on the historical report quality assessment result, determine the third score value; based on the hidden danger quantity assessment result, determine the fourth score value; based on the service time assessment result, determine the fifth score value; based on the preset weight distribution information, perform weighted summation on the first score value, the second score value, the third score value, the fourth score value, and the fifth score value to obtain the overall score value as the overall quality inspection result. In this way, the quantitative processing of the assessment results of different dimensions of the wind survey report can be achieved to ensure the clarity of the indication of the obtained overall quality inspection result.

[0052] The first to fifth scoring values ​​refer to the values ​​obtained by quantifying the evaluation results of different dimensions. The quantification process can be based on a pre-set quantification standard, or can also be quantified by a machine learning model, which is not limited.

[0053] The preset weight allocation information may be used to indicate the weight values ​​corresponding to the first to fifth scoring values ​​in the process of calculating the overall scoring value.

[0054] The overall scoring value refers to the sum of the first scoring value, the second scoring value, the third scoring value, the fourth scoring value and the fifth scoring value obtained by weighted summing based on preset weight allocation information.

[0055] In this embodiment, the image pre-inspection results of the wind survey report are determined; if the image pre-inspection results meet the preset conditions, the text quality assessment results, image quality assessment results, historical report quality assessment results, hidden danger quantity assessment results and service time assessment results of the wind survey report are determined based on the wind survey report intelligent quality inspection model; based on the text quality assessment results, image quality assessment results, historical report quality assessment results, hidden danger quantity assessment results and service time assessment results, the overall quality inspection results of the quality inspection report are determined. In this way, the automation of wind survey report quality inspection can be realized, the quality inspection efficiency can be improved, the labor cost can be reduced, and the reliability of the quality inspection results can be guaranteed.

[0056] Optionally, in some embodiments, when the overall quality inspection result indicates that the wind survey report has passed the quality inspection, a secondary quality inspection result of the wind survey report is obtained; if the secondary quality inspection result indicates that the wind survey report has passed the quality inspection, it is determined that the wind survey report has passed the quality inspection. In this way, a secondary quality inspection of the wind survey report can be implemented to ensure the robustness of the wind survey report quality inspection process.

[0057] Among them, the secondary quality inspection result refers to the result obtained by re-inspecting the wind survey report when the overall quality inspection result indicates that the wind survey report has passed the quality inspection.

[0058] In the disclosed embodiment, when obtaining the secondary quality inspection result of the wind survey report, it may be based on manual quality inspection, or it may be based on a third-party quality inspection device, and there is no limitation on this.

[0059] Figure 2 It is a flow chart of a wind survey report quality inspection method proposed in another embodiment of the present disclosure.

[0060] like Figure 2 As shown, the quality inspection method of the wind survey report includes:

[0061] S201: Determine the image pre-inspection result of the wind survey report.

[0062] The description of S201 can be specifically referred to the above embodiment, which will not be repeated here.

[0063] S202: If the image pre-inspection result does not meet the preset conditions, it is determined that the wind survey report fails the quality inspection.

[0064] That is, in the embodiment of the present disclosure, after determining the image pre-inspection result of the wind survey report, if the image pre-inspection result does not meet the preset conditions, the wind survey report is determined to be unqualified in the quality inspection. Thus, when the image pre-inspection result does not meet the preset conditions, the wind survey report can be directly determined to be unqualified in the quality inspection, so as to avoid the wind survey report entering the overall quality inspection process and causing a waste of computing resources.

[0065] S203: When it is determined that the wind survey report fails the quality inspection, the wind survey report is modified.

[0066] That is, in the embodiment of the present disclosure, when it is determined that the wind survey report fails the quality inspection, the wind survey report can be modified. Thus, the wind survey report can be adjusted in real time to effectively improve the practicality of the wind survey report quality inspection method.

[0067] In this embodiment, when the image pre-inspection result does not meet the preset conditions, it is determined that the wind survey report fails the quality inspection. Therefore, when the image pre-inspection result does not meet the preset conditions, the wind survey report can be directly determined to be unqualified in the quality inspection, so as to avoid the wind survey report entering the overall quality inspection process and causing a waste of computing resources. When it is determined that the wind survey report fails the quality inspection, the wind survey report is modified. Therefore, real-time adjustment of the wind survey report can be achieved to effectively improve the practicality of the wind survey report quality inspection method.

[0068] For example, based on the above embodiments, the technical solution disclosed herein includes the following technical features:

[0069] 1) Model evaluation dimensions and rules

[0070] 1. Assessment of report text quality:

[0071] Completeness of mandatory fields: If mandatory fields are not filled, corresponding points will be deducted.

[0072] Completeness of non-mandatory fields: If non-mandatory fields are filled in, corresponding extra points will be awarded.

[0073] Total number of words in the mandatory fields: If the total number of words in the mandatory fields of all reports in the database reaches the median, 80 points will be scored, otherwise corresponding points will be added or subtracted.

[0074] Total word count of the report: If the report reaches the median of the total word count of all reports in the database, 80 points will be awarded; otherwise, points will be added or subtracted accordingly.

[0075] 2. Assessment of report image quality:

[0076] Total number of images reported after duplicate removal: After removing duplicate images, if the median number of images in the report is reached, it will be scored as 80 points, otherwise corresponding points will be added or subtracted.

[0077] The number of duplicate uploaded images in the current report (compared to other images in the current report): For each duplicate image, a corresponding penalty will be applied.

[0078] Number of duplicate uploaded images compared to other historical reports: Points will be deducted for each duplicate image.

[0079] 3. Evaluation of the quality of historical reports of service experts:

[0080] Average score for historical report quality;

[0081] The number of reports that failed the review in the past three months.

[0082] 4. Assessment of the number of hidden dangers found:

[0083] The number of hidden dangers found, if the number of hidden dangers found is too small and less than the median of the average number of hidden dangers, corresponding points will be deducted, otherwise, corresponding points will be added.

[0084] 5. Evaluation of on-site service time:

[0085] If the on-site service time is too short, corresponding points will be deducted.

[0086] 6. Absolute Negative Items:

[0087] All the pictures in the reports are repeated, which directly indicates that the wind survey report is unqualified.

[0088] If the total number of pictures in the report is less than or equal to 3, the wind survey report will be directly judged as unqualified.

[0089] 2) Calculation of total score of intelligent quality inspection:

[0090] S=IF(B!=nu11,0,i=1∑n(Ai×Wi))

[0091] S: Total score of intelligent quality inspection.

[0092] B: Is there an absolute negative term?

[0093] Ai = score of general scoring items

[0094] Wi = weight corresponding to regular scoring items

[0095] Formula analysis: If there is an absolutely negative item, the score is 0, otherwise the score is calculated according to the weight.

[0096] 3) Wind survey intelligence assessment process, such as Figure 3 As shown, Figure 3 This is a schematic diagram of the wind survey intelligence assessment process proposed in this disclosure, in which:

[0097] After submitting the report for review, the wind survey personnel will begin intelligent quality inspection. During the quality inspection process, images will be checked for duplication and scored based on the intelligent quality inspection model.

[0098] The audit post can directly judge the quality of the wind survey report based on the results of the intelligent quality inspection, or it can conduct a manual review after the intelligent quality inspection to further improve the audit quality.

[0099] If the intelligent quality inspection fails, the wind survey personnel can modify the quality inspection report based on the intelligent quality inspection scoring report to improve the quality of the wind survey report.

[0100] Figure 4 It is a structural schematic diagram of a wind survey report quality inspection device proposed in an embodiment of the present disclosure.

[0101] like Figure 4 As shown, the wind survey report quality inspection device 40 includes:

[0102] The first determination module 401 is used to determine the image pre-check result of the wind survey report;

[0103] The second determination module 402 is used to determine the text quality assessment result, the image quality assessment result, the historical report quality assessment result, the hidden danger quantity assessment result and the service time assessment result of the wind survey report based on the wind survey report intelligent quality inspection model when the image pre-inspection result meets the preset conditions;

[0104] The third determination module 403 is used to determine the overall quality inspection result of the quality inspection report based on the text quality assessment result, the picture quality assessment result, the historical report quality assessment result, the hidden danger quantity assessment result and the service time assessment result.

[0105] It should be noted that the aforementioned explanation of the wind survey report quality inspection method is also applicable to the wind survey report quality inspection device of this embodiment, and will not be repeated here.

[0106] In this embodiment, the image pre-inspection results of the wind survey report are determined; if the image pre-inspection results meet the preset conditions, the text quality assessment results, image quality assessment results, historical report quality assessment results, hidden danger quantity assessment results and service time assessment results of the wind survey report are determined based on the wind survey report intelligent quality inspection model; based on the text quality assessment results, image quality assessment results, historical report quality assessment results, hidden danger quantity assessment results and service time assessment results, the overall quality inspection results of the quality inspection report are determined. In this way, the automation of wind survey report quality inspection can be realized, the quality inspection efficiency can be improved, the labor cost can be reduced, and the reliability of the quality inspection results can be guaranteed.

[0107] Figure 5 A block diagram of an exemplary computer device suitable for implementing embodiments of the present disclosure is shown. Figure 5 The computer device 12 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0108] like Figure 5 As shown, the computer device 12 is in the form of a general-purpose computing device. The components of the computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that connects various system components (including the system memory 28 and the processing unit 16).

[0109] The bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor or a local bus using any of a variety of bus structures. For example, these architectures include but are not limited to Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus and Peripheral Component Interconnection (PCI) bus.

[0110] The computer device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the computer device 12, including volatile and non-volatile media, removable and non-removable media.

[0111] The memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. The computer device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 34 may be used to read and write non-removable, non-volatile magnetic media ( Figure 5 Not shown, often called a "hard drive").

[0112] although Figure 5 Not shown, a disk drive for reading and writing a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing a removable non-volatile optical disk (e.g., a compact disc read only memory (Compact Disc Read Only Memory; hereinafter referred to as: CD-ROM), a digital versatile disc read only memory (Digital Video Disc Read Only Memory; hereinafter referred to as: DVD-ROM) or other optical media) may be provided. In these cases, each drive may be connected to the bus 18 via one or more data medium interfaces. The memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the various embodiments of the present disclosure.

[0113] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in the memory 28, such program modules 42 including but not limited to an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. The program modules 42 generally perform the functions and / or methods of the embodiments described in the present disclosure.

[0114] The computer device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), one or more devices that enable a human body to interact with the computer device 12, and / or any device that enables the computer device 12 to communicate with one or more other computing devices (e.g., network card, modem, etc.). Such communication may be performed via an input / output (I / O) interface 22. In addition, the computer device 12 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 20. As shown, the network adapter 20 communicates with other modules of the computer device 12 via a bus 18. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the computer device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0115] The processing unit 16 executes various functional applications and data processing by running the programs stored in the system memory 28, such as implementing the wind survey report quality inspection method mentioned in the above embodiment.

[0116] In order to implement the above embodiments, the present disclosure further proposes a non-temporary computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the wind survey report quality inspection method proposed in the above embodiments of the present disclosure is implemented.

[0117] In order to implement the above embodiments, the present disclosure further proposes a computer program product. When the instruction processor in the computer program product is executed, the wind survey report quality inspection method proposed in the above embodiments of the present disclosure is executed.

[0118] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. The present disclosure is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The description and examples are to be considered exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0119] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

[0120] It should be noted that, in the description of the present disclosure, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present disclosure, unless otherwise specified, the meaning of "plurality" is two or more.

[0121] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present disclosure includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present disclosure belong.

[0122] It should be understood that the various parts of the present disclosure can be implemented in hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0123] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0124] In addition, each functional unit in each embodiment of the present disclosure may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0125] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

[0126] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0127] Although the embodiments of the present disclosure have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present disclosure. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present disclosure.

Claims

1. A method for quality inspection of wind survey reports, characterized in that: include: Determine the image pre-inspection results of the wind survey report; If the image pre-inspection result meets the preset conditions, the text quality assessment result, image quality assessment result, historical report quality assessment result, hidden danger quantity assessment result and service time assessment result of the wind survey report are determined based on the wind survey report intelligent quality inspection model; Based on the text quality assessment result, the picture quality assessment result, the historical report quality assessment result, the hidden danger quantity assessment result and the service time assessment result, the overall quality inspection result of the quality inspection report is determined.

2. The method according to claim 1, characterized in that The image pre-check results of the wind survey report are determined, including: Determine the total number of images in the wind survey report; Determine the number of duplicate images in the wind survey report compared to the historical report, wherein the historical report refers to the wind survey report that has completed quality inspection; The picture pre-check result is generated based on the total number of pictures and the number of repeated pictures.

3. The method according to claim 2, characterized in that The preset conditions include: The total number of pictures is greater than a first preset value; and The difference between the total number of pictures and the number of repeated pictures is greater than a second preset value.

4. The method according to claim 1, characterized in that Determining the overall quality inspection result of the quality inspection report based on the text quality assessment result, the picture quality assessment result, the historical report quality assessment result, the hidden danger quantity assessment result and the service time assessment result includes: Determining a first scoring value based on the text quality assessment result; Determining a second scoring value based on the picture quality assessment result; Determining a third scoring value based on the historical report quality assessment result; Determining a fourth scoring value based on the hidden danger quantity assessment result; Determining a fifth scoring value based on the service duration evaluation result; The first scoring value, the second scoring value, the third scoring value, the fourth scoring value and the fifth scoring value are weighted and summed based on preset weight distribution information to obtain an overall scoring value as the overall quality inspection result.

5. The method according to claim 1, characterized in that The method further comprises: When the overall quality inspection result indicates that the wind survey report passes the quality inspection, obtaining a secondary quality inspection result of the wind survey report; If the secondary quality inspection result indicates that the wind survey report has passed the quality inspection, it is determined that the wind survey report has passed the quality inspection.

6. The method according to claim 1, characterized in that The method further comprises: If the image pre-inspection result does not meet the preset condition, it is determined that the wind survey report fails the quality inspection.

7. The method according to claim 6, characterized in that The method further comprises: When it is determined that the wind survey report fails the quality inspection, the wind survey report is modified.

8. A wind survey report quality inspection device, characterized in that: include: The first determination module is used to determine the image pre-inspection results of the wind survey report; The second determination module is used to determine the text quality assessment result, picture quality assessment result, historical report quality assessment result, hidden danger quantity assessment result and service time assessment result of the wind survey report based on the wind survey report intelligent quality inspection model when the picture pre-inspection result meets the preset conditions; The third determination module is used to determine the overall quality inspection result of the quality inspection report based on the text quality assessment result, the picture quality assessment result, the historical report quality assessment result, the hidden danger quantity assessment result and the service time assessment result.

9. A computer device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: in, The computer instructions are used to cause the computer to execute the method according to any one of claims 1 to 7.

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