CN115760156A - Intelligent individual household approval system and method based on Internet of things - Google Patents
Intelligent individual household approval system and method based on Internet of things Download PDFInfo
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Abstract
The invention discloses an Internet of things-based individual intelligent approval system and method, and belongs to the field of market supervision. According to the method and the device, the original uploaded picture is changed into the uploaded video as the proving material by inputting the keyword information and the auditing standard of the database, the video is analyzed and processed, so that the fragments in the video are automatically intercepted as the proving material, the intelligent auditing is carried out after the calibration, the notice is sent to the user, and the accuracy and the safety of the proving material are improved.
Description
Technical Field
The invention relates to the field of market supervision, in particular to an intelligent individual household approval system and method based on the Internet of things.
Background
In recent years, with the continuous development of economy and the advancement of science and technology, a plurality of new business modes appear in commerce, the scale of individual households is continuously developed and strengthened, and the economic vitality is fully improved. The individual family is also called an individual industrial and commercial company, and refers to a natural person or a family who is approved and registered according to law and engages in industrial and commercial operation activities within the scope allowed by law. Individual households play an important role in the change of economic and social structures for twenty years in China, the existence and development of the individual households are always concerned by the society, the individual households are developed into one of ten social classes in China, and the individual households in China have the characteristics of high development speed and great economic and social benefits.
With the development of science and technology, the modes of registering and handling businesses such as business licenses and the like of individual users become convenient and fast gradually, the online handling businesses are gradually released from place to place by combining the characteristics of single business state, less declaration information and natural persons of the individual industrial and commercial customers, the users can wait for the verification result only by filling in and submitting the certification material item by item according to the display page of the declaration system, the users do not need to go to the industrial and commercial bureau for handling, and zero leg running, zero meeting and zero intervention of business handling are realized.
However, when the individual user business is transacted online at present, the uploading material is still in a photo uploading mode, the photo is difficult to ensure that the uploaded personal information is consistent with the user who transacts the individual user business really, even if the uploaded photo is the identity document which needs to be uploaded by the user, the photo is difficult to ensure that the photo needs to be used for transacting the individual user business, the photos transacting other businesses are moved by other people, and the situation of uploading false materials threatens the economic safety and the information safety of the user.
Therefore, it is necessary to make the individual user handle the service more simply, ensure the authenticity of the identity card information of the individual user handling the service, and prevent the individual user from being used by others. Therefore, there is a need for an intelligent approval system and method for individual users based on the internet of things.
Disclosure of Invention
The invention aims to provide an individual user intelligent approval system and method based on the Internet of things.
In order to solve the technical problems, the invention provides the following technical scheme: individual household wisdom approval system based on thing networking, its characterized in that: the intelligent approval system comprises a data acquisition module, a database, a data analysis module and a data feedback module;
the data acquisition module is connected with a database, the database is connected with a data analysis module, and the data analysis module is connected with a data feedback module; the data acquisition module is used for acquiring basic data information and video material information, the database is used for encrypting and storing the acquired data information and analysis results, the data analysis module is used for analyzing and processing the acquired video information, and the data feedback module is used for automatically auditing and judging the information uploaded by a user according to the analysis results and notifying the user.
Further, the data acquisition module comprises a basic data acquisition unit and a video acquisition unit, wherein the basic data acquisition unit is used for inputting basic keyword information and judgment standard information, such as information of user names, operation modes, business ranges and the like, so that a basis is provided for intelligently analyzing and auditing information by the system, the accuracy of data auditing is improved, the video acquisition unit is used for acquiring video material information uploaded by a user through the Internet of things, automatically identifying audio in the video material information according to the video, and generating a text file, for example, by shooting a file which the user holds the identity document in hand and needs to upload, the user submits the data through uploading the video, the problem that whether the uploader is the picture information can not be judged when uploading the picture, even if the user holds the picture of the identity document in hand, the problem that the picture is the picture required for the business handling can not be difficultly ensured, the accuracy of analyzing and auditing information can be effectively improved, the situation that the user handling the business is inconsistent with the identity information can be avoided, even if the business handling is performed with the help of the elderly, for example, the applications are applied for the children, the business handling the users need to handle the business, the video information, the video acquisition unit can also be matched with the video information, the video acquisition unit can be ensured, the video acquisition unit can be matched with the video information of other people, and the video acquisition unit can be effectively matched with the video information, and can be used, and can be avoided, and the video acquisition unit can be effectively matched with the video acquisition.
Furthermore, the database comprises a storage unit and an encryption unit, the storage unit is used for storing the input keyword information, the acquired video and text information and the analysis result, the encryption unit encrypts the stored data information and the whole encryption process through an AES (advanced encryption standard) encryption algorithm, the AES encryption algorithm is an advanced encryption standard in cryptography, a symmetric block cipher system is adopted in the encryption algorithm, the minimum support of the length of a secret key is 128 bits, 192 bits and 256 bits, and the block length is 128 bits.
Furthermore, the data analysis module comprises a video extraction unit and an image calibration unit, wherein the video extraction unit is used for analyzing the video uploaded by the user, analyzing and intercepting the video according to the keyword information stored in the database, and taking the intercepted picture as the certification data of the business handling of the individual user, so that the accuracy of the certification data can be effectively ensured, the operation of the user who needs to handle the business is ensured, and the information is prevented from being used by other people. The image calibration unit is used for calibrating the captured image, for example, amplifying and correcting file data held by a user, so that the system can better verify and judge the image, the verification accuracy is improved, the condition that the verification cannot be passed due to improper holding posture of the user is avoided, the modification times of the user are reduced, and the use experience of transacting services on the user line of an individual user is improved.
Further, the data feedback module comprises a data auditing unit and a user notification unit, the data auditing unit is used for auditing and judging the image certification data subjected to analysis and interception according to the analysis result and the judgment standard information stored in the database, the user notification unit is used for sending a notification to a user handling the business, if the material submitted by the user is accurate, the user is sent a notification, for example, a short message is sent to remind the user that the audit is passed, and if the material submitted by the user is absent or wrong, the user is sent a notification, for example, the user is notified of the existing problems and the suggestions are modified, so that the user can know the business handling progress in time, and meanwhile, the user can know the specific material information needing to be modified.
An individual household intelligent approval method based on the Internet of things comprises the following steps:
s1, inputting basic data information and an auditing standard, collecting video certification materials uploaded by a user, automatically converting audio in a video into text information, and encrypting and storing the text information into a database;
s2, analyzing and processing the collected user uploaded video, and capturing a picture as a certification material according to the keyword information stored in the database;
s3, calibrating the intercepted picture;
and S4, according to the analysis result and the auditing standard stored in the database, auditing and judging the intercepted picture, and sending a notice to a user.
Further, in step S2, analyzing text information automatically converted from a video uploaded by a user according to the keyword information entered in the database;
in the automatically converted text, the occurrence time of a sentence including a keyword determines the importance of the sentence, and for example, the earlier the sentence including the keyword appears, the higher the importance of the sentence including the keyword appears later, the importance of the keyword position F is determined by the following formula 1 The analysis was carried out:
F 1 ＝log 2 (log 2 (2+Z))；
wherein Z is expressed as the median of the positions of all sentences containing the keywords in the text;
the occurrence frequency F of the keyword is calculated by the following formula 2 Carrying out normalization treatment:
wherein T represents the number of times of occurrence of the keyword, A represents the frequency mean value of occurrence of the keyword, and sigma is the standard deviation;
the number of related words co-occurring with a keyword determines the importance of the keyword, e.g. the more and different words that occur with the keyword, the lower the importance of the keyword, the following formula is used to relate the keyword to the context F 3 Carrying out the analysis:
b represents the number of different words appearing together with the keywords, C represents the maximum value of the appearance frequency of the keywords in the text, and k represents the number of the kth different words appearing together with the keywords;
the number of sentences containing a keyword determines the importance of the keyword, e.g. the more sentences the keyword appears, the more important the keyword is, the frequency F of the keyword appearing in the sentence is determined by the following formula 4 Carrying out the analysis:
wherein Q represents the frequency of the sentences containing the keywords, and S represents the number of all the sentences in the text;
calculating the score M of each keyword by the following formula:
setting a threshold M for the score of each keyword Threshold value When M < M Threshold value When the key word is important, extracting the position of the key word in the text and the corresponding key frame of the video, intercepting the key frame as a proving material, and if M is more than or equal to M, judging whether the key frame is important or not Threshold value In time, the words representing the occurrence are not important and are irrelevant to the part needing to be audited, and the system automatically filters.
The image is intercepted through analyzing the key words, the situation that audit caused by intercepting redundant pages cannot pass is effectively avoided, the accuracy and the safety of the certification materials are improved, even if the identity card of the user is lost, the identity information of the user can be guaranteed not to be used by other people for individual registration or individual business license handling, the situations that the identity information of the user is used by other people for loan and the like are avoided, the privacy information safety and the personal property safety of the user are guaranteed, and the online business handling experience of the user is improved.
Further, in step S3, calibrating after performing image binarization on the image captured as the proof material, establishing a planar rectangular coordinate system, detecting a straight line f (x, y) in the image, projecting the straight line, and performing projection along any angle, for example, performing amplification calibration on a user image acquired as the proof material, so that the proof material in the hand of the user can be clearly and completely displayed, and the auditing of the system can be more accurate, and calculating a line integral P of the straight line f (x, y) by using the following formula:
wherein, the first and the second end of the pipe are connected with each other,
θ represents an inclination angle of a straight line perpendicular to the straight line in the original image;
and carrying out rotation calibration on the original image according to the angle obtained by analysis, wherein the calibration angle is 90-theta.
By calibrating the image, even if the user holds the certification material by hand and the certification material is not taken correctly, the image can be automatically corrected, the correctness and the robustness of intelligent audit are effectively improved, the situation that the audit cannot pass due to the fact that the user does not take the certification material by hand is avoided, the repeated submission times of the user are reduced, and the use experience of the user in handling the service on line is improved.
Further, in step S4, according to the analysis processing result and the audit standard entered in the database, the image certification material intercepted by the video is audited, and the user is notified, for example, when the certification material is missing or wrong, the user is notified to modify and resubmit, if the user has a question about audit, manual audit can be submitted, the system automatically learns and enters, and the accuracy and the safety of audit are improved.
Compared with the prior art, the invention has the following beneficial effects:
according to the method, the original uploaded picture is changed into the uploaded video as the certification material by inputting the keyword information and the auditing standard of the database, the video is analyzed and processed, so that the fragments in the video are automatically intercepted as the certification material, and the intercepted picture is calibrated, so that the authenticity and the safety of the uploaded data can be effectively ensured, the user identity card data is prevented from being used by other people, the economic safety and the information safety of the user are threatened, even if business handling is performed with the help of other people, for example, old people apply for the application with the help of children, the user who needs to handle the business carries out video recording, the user cannot replace the video recording, and the uploaded data is ensured to be matched with the user. Meanwhile, the invention carries out data encryption on the whole process of handling business by the user, effectively ensures the data security of the user and prevents the personal property security and the information security of the user from being threatened due to the information filling and video information leakage of the user. After that, the system intelligently checks the data information uploaded by the user, and sends a notice to the user, for example, the reason why the user fails and how to modify the data information are informed, so that the user can conveniently operate, the user does not need to go to a business bureau for modifying the information for many times, the time of the user is saved, and the use experience of the user in handling the service on line is improved. If the user has a question about the auditing result, manual auditing can be applied, the system automatically learns and continuously improves the system, and therefore auditing accuracy is achieved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of the module composition of an intelligent approval system for individual households based on the Internet of things;
FIG. 2 is a schematic diagram illustrating steps of the intelligent approval method for individual users based on the Internet of things according to the present invention;
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1-2, the present invention provides a technical solution: individual household wisdom approval system based on thing networking, its characterized in that: the intelligent approval system comprises a data acquisition module, a database, a data analysis module and a data feedback module;
the data acquisition module is connected with a database, the database is connected with a data analysis module, and the data analysis module is connected with a data feedback module;
the data acquisition module comprises a basic data acquisition unit and a video acquisition unit, wherein the basic data acquisition unit is used for inputting basic keyword information and judgment standard information, such as information of user names, operation modes, business ranges and the like, so that a basis is provided for a system to carry out intelligent analysis and audit information, and the accuracy of data audit is improved.
The database is used for encrypting and storing acquired data information and analysis results, the database comprises a storage unit and an encryption unit, the storage unit is used for storing input keyword information, acquired video and text information and analysis results, the encryption unit encrypts the stored data information and the whole encryption process through an AES (advanced encryption standard) encryption algorithm, the AES encryption algorithm is a high-level encryption standard in cryptography, a symmetric block cipher system is adopted in the encryption algorithm, the minimum support of the length of a secret key is 128 bits, 192 bits and 256 bits, the block length is 128 bits, the algorithm is easy to realize by various hardware and software, the AES algorithm mainly comprises four operation processes, namely a secret key addition layer, a byte substitution layer, a row displacement layer and a column confusion layer, the AES is used for replacing the DES, the database has better safety, efficiency and flexibility, the safety of data when an individual user transacts business can be effectively guaranteed, the safety of privacy information of the user is protected, and the information leakage is prevented from causing the threat of the information safety of the individual user and personal property safety.
The data analysis module is used for analyzing and processing the acquired video information and comprises a video extraction unit and an image calibration unit, the video extraction unit is used for analyzing the video uploaded by the user, the video is analyzed and intercepted according to the keyword information stored in the database, the intercepted picture is used as the certification data of the business handling of the individual user, the accuracy of the certification data can be effectively ensured, the user who needs to handle the business can operate the data, and the information is prevented from being used by other people. The image calibration unit is used for calibrating the intercepted image, for example, amplifying the file data held by the user, so that the system can better verify and judge the image, the verification accuracy is improved, the condition that the verification cannot pass due to improper holding posture of the user is avoided, the modification times of the user are reduced, and the use experience of handling business on the user line of an individual user is improved.
And the data feedback module is used for automatically auditing and judging the information uploaded by the user according to the analysis result and notifying the user. The data feedback module comprises a data auditing unit and a user notification unit, wherein the data auditing unit is used for auditing and judging the image certification data subjected to analysis and interception according to the analysis result and the judgment standard information stored in the database, the user notification unit is used for sending a notification to a user handling the service, if the material submitted by the user is accurate, the user is sent with a notification, such as a short message to remind the user of auditing and passing, and if the material submitted by the user is lack or wrong, the user is sent with a notification, such as a problem notification and a modification suggestion and the like, so that the user can know the service handling progress in time, and can know the specific material information needing modification.
An individual household intelligent approval method based on the Internet of things comprises the following steps:
s1, inputting basic data information and an auditing standard, collecting video certification materials uploaded by a user, automatically converting audio in a video into text information, and encrypting and storing the text information into a database;
s2, analyzing and processing the collected user uploaded video, and capturing a picture as a proving material according to the keyword information stored in the database;
in step S2, analyzing text information automatically converted from the video uploaded by the acquisition user according to the keyword information input in the database;
in the automatically converted text, the time when a sentence including a keyword appears determines the importance of the sentence, and for example, the earlier the sentence including the keyword appears, the higher the importance of the sentence including the keyword appears later, the importance of the keyword position F is determined by the following formula 1 The analysis was carried out:
F 1 ＝log 2 (log 2 (2+Z))；
wherein Z is expressed as the median of the positions of all sentences containing the keywords in the text;
the occurrence frequency F of the keyword is calculated by the following formula 2 And (3) carrying out normalization treatment:
wherein, T represents the occurrence frequency of the keywords, A represents the average frequency of the keywords, and sigma is the standard deviation;
the number of associated words co-occurring with a keyword determines the importance of the keyword, e.g. the more different words the keyword occurs with, the lower the importance of the keyword, the keyword-context relationship F is determined by the following formula 3 The analysis was carried out:
b represents the number of different words appearing together with the keywords, C represents the maximum value of the occurrence frequency of the keywords in the text, and k represents the number of the kth different words appearing together with the keywords;
the number of sentences containing a keyword determines the importance of the keyword, e.g. the more sentences the keyword appears, the more important the keyword is, the frequency F of the keyword appearing in the sentence is determined by the following formula 4 The analysis was carried out:
wherein Q represents the frequency of the sentences containing the keywords, and S represents the number of all the sentences in the text;
calculating the score M of each keyword by the following formula:
setting a threshold M for the score of each keyword Threshold value When M < M Threshold value When the key word is important, extracting the position of the key word in the text and the corresponding key frame of the video, intercepting the key frame as a proving material, and if M is more than or equal to M, judging whether the key frame is important or not Threshold(s) In time, the word indicating the occurrence is not important and requires the review departmentAnd (4) independent, automatically filtering by the system.
Intercepting images through analyzing keywords can effectively avoid the situation that auditing caused by intercepting redundant pages is not passed, accuracy and safety of proving materials are improved, even if the identity card of a user is lost, the identity information of the user can be guaranteed not to be used by other people for individual user registration or individual user business license handling, the situation that other people use the identity information of the user to loan and the like is avoided, privacy information safety and personal property safety of the user are guaranteed, and online business handling experience of the user is improved.
S3, calibrating the intercepted picture;
in step S3, the image captured as the proof material is binarized and then calibrated, a rectangular plane coordinate system is established, a straight line f (x, y) in the image is detected, the straight line is projected, the projection can be performed along any angle, for example, a user image collected as the proof material is amplified and calibrated, so that the proof material in the user' S hand can be clearly and completely displayed, the auditing of the system can be more accurate, and the line integral P of the straight line f (x, y) is calculated by the following formula:
wherein, the first and the second end of the pipe are connected with each other,
θ is expressed as the inclination angle of a straight line perpendicular to the straight line in the original image;
and carrying out rotation calibration on the original image according to the angle obtained by analysis, wherein the calibration angle is 90-theta.
By calibrating the image, even if the user holds the certification material by hand and the certification material is not taken correctly, the image can be automatically corrected, the correctness and the robustness of intelligent audit are effectively improved, the situation that the audit cannot pass due to the fact that the user does not take the certification material by hand is avoided, the repeated submission times of the user are reduced, and the use experience of the user in handling the service on line is improved.
And S4, according to the analysis result and the auditing standard stored in the database, auditing and judging the intercepted picture, and sending a notice to a user.
In step S4, the image certification material captured by the video is audited according to the analysis processing result and the audit standard entered in the database, and the user is notified, for example, when the image certification material is missing or wrong, the user is notified to modify and resubmit, if the user has a question about the audit, manual audit can be submitted, the system automatically learns and enters, and the accuracy and the safety of the audit are improved.
The first embodiment is as follows:
if the video uploaded by the user passes through, analyzing to obtain the score M of the keyword of a certain keyword as follows:
setting a threshold M for the score of a keyword Threshold(s) =0.5; at this time, M < M Threshold value And extracting the position of the keyword in the text and the corresponding key frame of the video, and intercepting the key frame as a proving material.
If the score M of a word is
At this time, M is not less than M Threshold value And the word is not important, and is irrelevant to the part needing to be checked, and the system automatically filters and does not intercept.
If a certain keyword does not appear in the user, the situation that the submitted material is absent exists is shown, the situation that the user transacts the service is not passed is judged, a notice is sent to the user, the user is informed of the absent material, and the user is reminded to apply for the material again.
The second embodiment:
after analysis, an image is intercepted to serve as a certification material, and if a straight line f (x, y) in the image is detected to be a certain side of the certification material held by a user in the image, a line integral P of the straight line f (x, y) is calculated through the following formula:
if the angle theta =75 degrees is obtained according to analysis, the original image is subjected to rotation calibration, and the calibration angle is 15 degrees, so that the image subjected to rotation calibration is audited according to the audit standard input in the database, the accuracy of intelligent audit is improved, and the situation that the audit is different due to the handheld posture of a user is avoided.
It should be noted that, in this document, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. Individual household wisdom system of approving based on thing networking, its characterized in that: this wisdom approval system includes: the system comprises a data acquisition module, a database, a data analysis module and a data feedback module;
the data acquisition module is connected with a database, the database is connected with a data analysis module, and the data analysis module is connected with a data feedback module; the data acquisition module is used for acquiring basic data information and video material information, the database is used for encrypting and storing the acquired data information and analysis results, the data analysis module is used for analyzing and processing the acquired video information, and the data feedback module is used for automatically auditing and judging the information uploaded by a user according to the analysis results and notifying the user.
2. The system of claim 1, wherein the system comprises: the data acquisition module comprises a basic data acquisition unit and a video acquisition unit, wherein the basic data acquisition unit is used for inputting basic keyword information and judgment standard information, and the video acquisition unit is used for acquiring video material information uploaded by a user, automatically identifying audio in the video material information according to the video and generating a text file.
3. The system of claim 2, wherein the system comprises: the database comprises a storage unit and an encryption unit, wherein the storage unit is used for storing the input keyword information, the acquired video and text information and the analysis result, and the encryption unit encrypts the stored data information and the whole encryption process through an AES encryption algorithm.
4. The system of claim 3, wherein the system comprises: the data analysis module comprises a video extraction unit and an image calibration unit, wherein the video extraction unit is used for analyzing the video uploaded by the user, analyzing and intercepting the video according to the keyword information stored in the database, taking the intercepted picture as the certification information of the business handling of the individual user, and the image calibration unit is used for calibrating the intercepted image.
5. The system of claim 4, wherein the system comprises: the data feedback module comprises a data auditing unit and a user notification unit, the data auditing unit is used for auditing and determining the image certification data subjected to analysis and interception according to the analysis result and the determination standard information stored in the database, and the user notification unit is used for sending a notification to a user transacting business.
6. An individual intelligent household approval method based on the Internet of things is characterized in that: comprises the following steps:
s1, inputting basic data information and an auditing standard, collecting video certification materials uploaded by a user, automatically converting audio in a video into text information, and encrypting and storing the text information into a database;
s2, analyzing and processing the collected user uploaded video, and capturing a picture as a proving material according to the keyword information stored in the database;
s3, calibrating the intercepted picture;
and S4, according to the analysis result and the auditing standard stored in the database, auditing and judging the intercepted picture, and sending a notice to a user.
7. The intelligent approval method for individual users based on the Internet of things of claim 6, wherein: in step S2, analyzing text information automatically converted from the video uploaded by the acquisition user according to the keyword information input in the database;
in the automatically converted text, the time when the sentence containing the keyword appears determines the importance degree of the sentence, and the importance degree F of the keyword position is determined by the following formula 1 The analysis was carried out:
F 1 ＝log 2 (log 2 (2+Z))；
wherein Z is expressed as the median of the positions of all sentences containing the keywords in the text;
the occurrence frequency F of the keyword is calculated by the following formula 2 And (3) carrying out normalization treatment:
wherein, T represents the occurrence frequency of the keywords, A represents the average frequency of the keywords, and sigma is the standard deviation;
determining the importance degree of the key word by the number of the associated words appearing together with the key word, and then determining the relation F between the key word and the context by the following formula 3 Carrying out the analysis:
b represents the number of different words appearing together with the keywords, C represents the maximum value of the appearance frequency of the keywords in the text, and k represents the number of the kth different words appearing together with the keywords;
the number of sentences containing the keyword determines the importance degree of the keyword, and the occurrence frequency F of the keyword in the sentences is determined by the following formula 4 Carrying out the analysis:
wherein Q represents the frequency of the sentences containing the keywords, and S represents the number of all the sentences in the text;
calculating the score M of each keyword by the following formula:
setting a threshold M for the score of each keyword Threshold(s) When M < M Threshold value When the key word is important, extracting the position of the key word in the text and the corresponding key frame of the video, intercepting the key frame as a proving material, and when M is more than or equal to M Threshold value Time, word representing occurrenceNot important, and independent of the need for an audit component, the system automatically filters.
8. The intelligent approval method for the individual household based on the internet of things as claimed in claim 7, wherein: in step S3, the picture cut out as the proof material is calibrated after image binarization, a rectangular plane coordinate system is established, a straight line f (x, y) in the image is detected, the straight line is projected, and a line integral P of the straight line f (x, y) is calculated by the following formula:
wherein, the first and the second end of the pipe are connected with each other,
θ is expressed as the inclination angle of a straight line perpendicular to the straight line in the original image;
and carrying out rotation calibration on the original image according to the angle obtained by analysis, wherein the calibration angle is 90-theta.
9. The intelligent approval method for individual users based on the internet of things as claimed in claim 8, wherein: in step S4, the image certification material captured by the video is audited according to the analysis processing result and the audit standard entered in the database, and the user is notified.
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| CN118195554A (en) * | 2024-05-15 | 2024-06-14 | 国网江西省电力有限公司信息通信分公司 | Main management method and system for basic data of power grid |
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