CN117875569B - Rural collective asset resource management method based on two-dimensional code and geographic information technology - Google Patents
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Abstract
The invention discloses a rural collective asset resource management method based on two-dimension code and geographic information technology, and relates to the technical field of asset resource management. In order to solve the problem that the decision maker is difficult to obtain the latest and most accurate information due to the lack of effective informatization means for rural collective asset resources; a rural collective asset resource management method based on two-dimension code and geographic information technology comprises the following steps: step one: collecting data; step two: manufacturing a two-dimensional code label; step three: asset resource positioning; step four: sticking a two-dimensional code label; step five: informationized management; through scanning the two-dimensional code, related personnel can acquire the detailed information of the asset resource corresponding to the two-dimensional code fast, and based on the geographic information technology, accurate positioning and optimal configuration can be carried out on the asset resource, so that the resource utilization efficiency is improved, the efficiency and transparency of asset management can be effectively improved, and the accurate positioning and informationized management of the asset resource are realized.
Description
Technical Field
The invention relates to the technical field of asset resource management, in particular to a rural collective asset resource management method based on two-dimension code and geographic information technology.
Background
With the development of rural economy, rural collective asset resource management is becoming increasingly important. The method for managing the rural collective asset resources comprises the following steps: the Chinese patent of CN117078446A discloses a closed-loop associated management system and a method for rural collective assets, which relate to the technical field of rural collective assets, and further open up data barriers for asset management, asset transaction, capital expenditure and financial accounting through a resource management module, an asset management module and a capital management module, activate information value, ensure comprehensive, real and accurate three-resource data, divide target data into types first, improve the accuracy of data verification, and use a comparison result as the basis for uniquely judging whether the data is abnormal or not, further improve the efficiency and accuracy for acquiring the abnormal degree of the data, and further improve the supervision strength by checking the data and rapidly capturing the abnormal data.
However, for rural collective asset resources, the lack of effective informatization means can not be mastered in time due to the distribution, use, circulation and other conditions of the collective asset resources, and the update of data of a plurality of resources is not in time, so that a decision maker can not obtain the latest and most accurate information.
Disclosure of Invention
The invention aims to provide a rural collective asset resource management method based on two-dimension code and geographic information technology, by scanning the two-dimension code, related personnel can rapidly acquire detailed information of asset resources corresponding to the two-dimension code, the efficiency and transparency of asset management can be effectively improved, and accurate positioning and informationized management of the asset resources are realized, so that the problems in the background technology are solved.
In order to achieve the above purpose, the present invention provides the following technical solutions:
A rural collective asset resource management method based on two-dimension code and geographic information technology comprises the following steps:
Step one: and (3) data acquisition: comprehensively checking rural collective assets, acquiring basic information of the positions, the areas and the types of the rural collective assets by using a global positioning system or a remote sensing technology, and generating corresponding geographic information data;
step two: manufacturing a two-dimensional code label: inputting asset information into a two-dimensional code making system in detail, and generating a corresponding two-dimensional code label for each asset according to the input asset data;
step three: asset resource location: correlating the collected geographic information data with a two-dimensional code label generated by the asset resource to generate a corresponding association relation;
Step four: sticking a two-dimensional code label: pasting the generated two-dimensional code labels on the corresponding asset resources, and ensuring that each asset resource has a unique two-dimensional code identifier;
step five: and (3) informatization management: and the detailed information of the asset resources corresponding to the two-dimension code is rapidly acquired by scanning the two-dimension code, and meanwhile, the asset resources are subjected to informatization management.
Further, for data acquisition in the first step, the method further includes inputting geographic information data into a three-dimensional modeling module to build a three-dimensional model, and specifically includes:
Preprocessing the acquired data, and carrying out data standardization on coordinate data in the geographic information data according to a standard data format to obtain standard coordinate data;
Inputting the preprocessed standard coordinate data into a three-dimensional modeling module to determine a three-dimensional map coordinate range of geographic information data, and superposing a simulation model of the asset resource in the three-dimensional map by utilizing a three-dimensional tool to generate a three-dimensional model of the rural collective asset;
And optimizing and adjusting the established three-dimensional model of the rural collective asset, converting the model into a displayable data format, and displaying the model on a remote supervision platform.
Further, the step two of manufacturing the two-dimensional code tag comprises the steps of comprehensively checking rural collective assets and inputting asset information into a system in detail, wherein for each item of asset information, a unique two-dimensional code is generated, and the method specifically comprises the following steps:
Data preparation: the basic information of the rural collective assets is arranged and formatted according to the two-dimension code coding requirement;
Generating a two-dimensional code: constructing a two-dimensional code generation algorithm based on a preset coding rule, inputting the processed asset data into the two-dimensional code generation algorithm, converting the asset data into a two-dimensional code pattern, and generating a visualized two-dimensional code picture;
Two-dimensional code quality detection and optimization: detecting the visualized two-dimensional code picture, detecting the damage degree, contrast and color of the visualized two-dimensional code picture, and optimizing the visualized two-dimensional code picture according to a preset threshold value;
Asset information binding: binding the generated two-dimensional code picture with asset information, and establishing a one-to-one correspondence.
Further, detecting the damage degree of the visualized two-dimensional code picture, and optimizing the visualized two-dimensional code picture according to a preset threshold value, including:
The method comprises the steps of calling a two-dimensional code picture, and decoding the two-dimensional code picture by utilizing a two-dimensional code decoder to obtain asset data corresponding to the two-dimensional code picture, wherein the asset data is used as asset data information to be detected;
Comparing the to-be-detected data information with original asset data, and if the to-be-detected asset data information is consistent with the original asset data, indicating that the two-dimensional code is not damaged;
comparing the to-be-detected data information with original asset data, if the to-be-detected asset data information is inconsistent with the original asset data, indicating that the two-dimensional code is damaged, and acquiring a data damage degree coefficient according to the difference between the to-be-detected asset data information and the original asset data; the data damage degree coefficient is obtained through the following formula:
；
Wherein S 01 represents a data corruption degree coefficient; n 01 represents the number of characters with the same character position but different characters in the characters with inconsistent correspondence between the asset data information to be detected and the original asset data; n 02 represents the number of characters with different character positions but same characters in characters, in which the correspondence of the asset data information to be detected and the original asset data is inconsistent; n represents the total number of characters contained in the original asset data; n represents the number of unit character segments contained in the original asset data, and the length range of the characters contained in the unit character segments is 10-20; p i represents a proportional number in the ith unit character segment where consecutive characters are inconsistent with characters in the original asset data; λ represents a first parameter coefficient; c x represents the character corresponding data quantity of the inconsistent correspondence between the asset data information to be detected and the original asset data; c y represents the data amount of the original asset data; m represents the number of keywords contained in the inconsistency of the continuous characters in the characters of the inconsistency of the asset data information to be detected and the original asset data; w i represents a weight coefficient corresponding to the ith keyword; w represents the total value of keyword weights; k represents the number of discontinuous inconsistent characters in the characters of which the to-be-detected asset data information is inconsistent with the original asset data; w j represents the weight value of the keyword where the inconsistent character in the inconsistent j-th discontinuous character in the characters where the asset data information to be detected is inconsistent with the original asset data;
Identifying two-dimensional code pictures in an edge detection mode to obtain a damaged area in the two-dimensional code;
acquiring a damage degree coefficient of the two-dimensional code according to the damage region in the two-dimensional code and the whole area region of the two-dimensional code picture;
acquiring quality parameters of the two-dimensional code picture by using the data damage degree coefficient and the two-dimensional code damage degree coefficient;
when the quality parameter of the two-dimensional code picture is lower than a preset parameter threshold, the two-dimensional code picture is not required to be optimized, and the two-dimensional code generation abnormal alarm is directly carried out.
Further, obtaining a damage degree coefficient of the two-dimensional code according to the damage region in the two-dimensional code and the whole area region of the two-dimensional code picture, including:
extracting the number of the damaged areas and the area of the area corresponding to each damaged area;
The number of the damaged areas and the area surface corresponding to each damaged area determine the area proportion of the damaged area in the total area of the two-dimensional code;
Invoking a weight value corresponding to the damaged area;
Obtaining a damage degree coefficient of the two-dimensional code by using the area proportion and the weight value corresponding to the damage area, wherein the damage degree coefficient of the two-dimensional code is obtained by the following formula:
；
S 02 represents a damage degree coefficient of the two-dimensional code; p s represents the number of the damaged areas and the area ratio of the damaged area in the total two-dimensional code area is determined by the area surface corresponding to each damaged area; f represents the number of damaged areas; k i represents the weight value of the ith damaged area; s hi represents the occupied area of the damaged portion in the ith damaged area; si represents the area occupied by the ith damaged area; ζ represents the second parameter coefficient.
Further, the obtaining the quality parameter of the two-dimensional code picture by using the data damage degree coefficient and the two-dimensional code damage degree coefficient comprises the following steps:
the data damage degree coefficient and the two-dimensional code damage degree coefficient are called;
Comparing the data damage degree coefficient with the damage degree coefficient of the two-dimensional code to obtain a comparison result;
when the comparison result shows that the data damage degree coefficient is larger than or equal to the damage degree coefficient of the two-dimensional code, acquiring the quality parameter of the two-dimensional code picture by using a first quality parameter model; the structure of the first quality parameter model is as follows:
；
E 01 represents quality parameters of the two-dimensional code picture obtained by using the first quality parameter model; e represents a preset reference parameter; s 01 represents a data corruption degree coefficient; s 02 represents a damage degree coefficient of the two-dimensional code;
When the comparison result shows that the data damage degree coefficient is smaller than the damage degree coefficient of the two-dimensional code, acquiring the quality parameter of the two-dimensional code picture by using a second quality parameter model; the structure of the second quality parameter model is as follows:
；
E 02 represents a quality parameter of the two-dimensional code picture obtained by using a second quality parameter model; e represents a preset reference parameter; s 01 represents a data corruption degree coefficient; s 02 represents a damage degree coefficient of the two-dimensional code.
Further, the two-dimensional code generation specifically includes:
Extracting basic information of rural collective assets, determining data to be encoded, converting the determined data into binary bit streams in two-dimension codes, and encoding the original data according to a preset encoding rule;
Generating error correction coding data on the basis of the coding data, and arranging the coding data and the error correction coding data into a matrix according to a rule, wherein the data mask rule of the two-dimensional code is followed in the arrangement process;
and adding a positioning pattern, a timing pattern and a format information functional graph on the basis of the data matrix, and drawing a two-dimensional code image according to the completed data matrix.
Further, for the asset resource location in the third step, the method further includes:
Constructing an association database for storing the corresponding relation between the two-dimensional code labels corresponding to the assets and the geographic information data, wherein the association database comprises unique identification codes of the two-dimensional code labels, identification codes of the geographic information data and other association information;
matching the collected geographic information data with two-dimensional code labels stored in an association database, and determining data association information based on unique identification codes in the two-dimensional code labels and the geographic information data;
And carrying out data verification on the geographic information data and the two-dimensional code label based on the data association information, determining the uniqueness of the association relation, updating the geographic information data according to a preset instruction at regular intervals, and simultaneously updating and replacing the two-dimensional code label.
Further, for the informationized management in the fifth step, the method further includes:
Mobile end asset inventory: when checking the asset, related personnel rapidly acquire real-time information of the asset, including the asset basic information, asset change records and contract basic information through the two-dimensional code generated by scanning of the mobile equipment;
information disclosure and query: when information is shown, members of rural collective economic organizations check the account information of each asset by scanning the two-dimension code;
Digital certificate generation and viewing: in the digital certificate generation stage, the system encrypts all asset information, generates a corresponding digital certificate, displays an asset card two-dimensional code on the digital certificate, and carries out uplink certification on the asset information, and a user checks asset details in a code scanning mode.
Further, in the generation and the checking of the digital certificate, the generation of the corresponding digital certificate specifically includes:
Integrity verification is carried out on the acquired rural collective asset information, and the verified complete rural collective asset information is used as original data for encryption;
inputting corresponding asset information in a digital certificate template, uploading the manufactured corresponding two-dimensional code picture, and generating a displaced asset digital certificate;
And sorting and classifying the asset information in the generated asset digital certificate, uploading the asset information to a corresponding uplink certificate storage platform, and performing uplink certificate storage operation.
Further, encrypting the verified complete rural collective asset information as the original data, specifically including:
dividing original data into segments to be encrypted with preset length, and establishing an encryption matrix according to the number of the segments to be encrypted;
Acquiring corresponding interference passwords in a preset password set based on the number of interference times, and sequentially inputting the interference passwords into an encryption matrix;
Calculating the encryption rank of each encryption matrix respectively, generating a rank password based on all the encryption ranks, and superposing the rank password with the homotype matrix to obtain the superposition number generated by the marking position;
Inputting the superposition number to the rest blank positions, obtaining a full encryption matrix, extracting data corresponding to each position in the full encryption matrix, obtaining encryption data, and generating a corresponding key;
the encrypted data and the corresponding key are stored and authentication and rights control must be performed when access to the encrypted asset information is required.
Compared with the prior art, the invention has the beneficial effects that:
The rural collective assets are comprehensively checked, accurate statistics of the assets is ensured, corresponding geographic information data is generated based on the collected basic information, data support is provided for subsequent two-dimensional code production, detailed information of asset resources corresponding to the two-dimensional code can be quickly obtained by related personnel through scanning the two-dimensional code, accurate positioning and optimal configuration can be carried out on the asset resources based on the geographic information technology, the resource utilization efficiency is improved, the efficiency and transparency of asset management can be effectively improved, and accurate positioning and informationized management of the asset resources are realized.
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Fig. 1 is a flow chart of a rural collective asset resource management method based on two-dimension code and geographic information technology.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order to solve the technical problems that the distribution, use, circulation and other conditions of the collective asset resources cannot be mastered in time due to the lack of effective informatization means for the rural collective asset resources, and the latest and most accurate information is difficult to obtain by a decision maker due to the untimely data update of a plurality of resources, referring to fig. 1, the embodiment provides the following technical scheme:
A rural collective asset resource management method based on two-dimension code and geographic information technology comprises the following steps:
Step one: and (3) data acquisition: comprehensively checking rural collective assets, acquiring basic information of the positions, the areas and the types of the rural collective assets by using a global positioning system or a remote sensing technology, and generating corresponding geographic information data;
In this embodiment, for data acquisition in the first step, the method further includes inputting geographic information data into a three-dimensional modeling module to build a three-dimensional model, and specifically includes:
Preprocessing the acquired data, including data cleaning, format conversion and the like, so as to ensure the data quality, and carrying out data standardization on coordinate data in the geographic information data according to a standard data format to obtain standard coordinate data; inputting the preprocessed standard coordinate data into a three-dimensional modeling module to determine a three-dimensional map coordinate range of geographic information data, and superposing a simulation model of the asset resource in the three-dimensional map by utilizing a three-dimensional tool to generate a three-dimensional model of the rural collective asset; optimizing and adjusting the established three-dimensional model of the rural collective asset, converting the model into a displayable data format, and displaying the model on a remote supervision platform;
In the embodiment, a three-dimensional modeling function in a geographic information technology is utilized, a three-dimensional model can be built for assets such as land, factory buildings and water surfaces, a more visual effect is provided, a supervision leader can conveniently and well understand data, asset information on a certain geographic position can be quickly searched through a space query function, the leader can conveniently conduct decision analysis, distribution, utilization efficiency, surrounding environment and the like of asset resources such as the land, the factory buildings are analyzed, decision basis is provided for optimizing resource allocation and improving asset utilization efficiency, dynamic changes of the assets such as changes of land use conditions, building progress and the like are monitored in real time, and latest information is provided for the leader in time;
Step two: manufacturing a two-dimensional code label: the asset information is input into a two-dimensional code making system in detail, a corresponding two-dimensional code label is generated for each asset according to the input asset data, and the two-dimensional code label can contain information such as names, positions, areas, types and the like of asset resources, contact modes of related responsible persons and the like;
step three: asset resource location: correlating the collected geographic information data with a two-dimensional code label generated by the asset resource to generate a corresponding association relation;
in this embodiment, for the asset resource location in step three, further including:
Constructing an association database for storing the corresponding relation between the two-dimensional code labels corresponding to the assets and the geographic information data, wherein the association database comprises unique identification codes of the two-dimensional code labels, identification codes of the geographic information data and other association information;
Matching the collected geographic information data with two-dimensional code tags stored in an association database, and determining data association information based on unique identification codes in the two-dimensional code tags and the geographic information data to ensure that each two-dimensional code tag can accurately correspond to corresponding geographic information data;
carrying out data verification on the geographic information data and the two-dimensional code label based on the data association information, determining the uniqueness of the association relation, updating the geographic information data regularly according to a preset instruction, and simultaneously updating and replacing the two-dimensional code label to ensure that the latest state of the asset can be always reflected;
In the embodiment, through the management of the unique identification code, each two-dimensional code label and geographic information data can be accurately identified and distinguished in the database, data confusion and errors are avoided, the efficiency of data management is improved, the accuracy and the integrity of the data are guaranteed, the geographic information data and the two-dimensional code labels are subjected to data verification based on data association information, the uniqueness of association relation is further determined, the authenticity and the credibility of the data are guaranteed, the geographic information data are regularly updated, the two-dimensional code labels are updated and replaced, the fact that the data in the database can always reflect the latest state of an asset is guaranteed, the efficiency and the transparency of asset management are improved, and more accurate and real-time data support is provided for a decision maker;
Step four: sticking a two-dimensional code label: pasting the generated two-dimensional code labels on the corresponding asset resources, and ensuring that each asset resource has a unique two-dimensional code identifier;
step five: and (3) informatization management: by scanning the two-dimensional code, detailed information of the asset resources corresponding to the two-dimensional code, including geographic position, area, type and the like, is rapidly obtained, and meanwhile, the asset resources are subjected to informatization management, such as inquiry, statistics, analysis and the like.
In the embodiment, comprehensive investigation is performed on rural collective assets, accurate statistics of the assets is ensured, corresponding geographic information data is generated based on collected basic information, data support is provided for subsequent two-dimensional code production, detailed information of asset resources corresponding to the two-dimensional code can be rapidly obtained by related personnel through scanning the two-dimensional code, accurate positioning and optimal configuration can be performed on the asset resources based on a geographic information technology, resource utilization efficiency is improved, efficiency and transparency of asset management can be effectively improved, and accurate positioning and informationized management of the asset resources are realized.
In this embodiment, the making of the two-dimensional code tag in the second step includes performing comprehensive checking on the rural collective assets, and inputting the asset information into the system in detail, where for each item of asset information, a unique two-dimensional code is generated, and includes all basic information of the asset, such as a name, a model, a purchase date, a value, and the like, and specifically includes:
Data preparation: the basic information of rural collective assets, such as numbers, names, models, positions and the like, are arranged and formatted according to the requirement of two-dimension code coding;
Generating a two-dimensional code: constructing a two-dimensional code generation algorithm based on a preset coding rule, inputting the processed asset data into the two-dimensional code generation algorithm to be converted into a two-dimensional code pattern, and generating a visualized two-dimensional code picture so as to ensure the accuracy and reliability of the two-dimensional code;
the two-dimensional code generation specifically comprises the following steps:
Extracting basic information of rural collective assets, determining data to be encoded, converting the determined data into binary bit streams in two-dimension codes, and encoding the original data according to a preset encoding rule;
Generating error correction coding data on the basis of the coding data, and arranging the coding data and the error correction coding data into a matrix according to a rule, wherein the data mask rule of the two-dimensional code is followed in the arrangement process;
on the basis of a data matrix, adding a positioning pattern, a timing pattern and a format information functional graph, and drawing a two-dimensional code image according to the completed data matrix;
Two-dimensional code quality detection and optimization: detecting the visualized two-dimensional code picture, detecting the damage degree, contrast and color of the visualized two-dimensional code picture, and optimizing the visualized two-dimensional code picture according to a preset threshold value;
Asset information binding: binding the generated two-dimensional code picture with asset information, and establishing a one-to-one correspondence.
In this embodiment, in order to ensure the reading quality and reliability of the two-dimensional code, quality detection and optimization are performed, related information of an asset can be directly accessed by scanning the two-dimensional code, coding rules include digital coding, alphanumeric coding and byte coding, when the two-dimensional code is generated, a proper coding mode is selected according to data types, original data are converted into binary bit streams in the two-dimensional code according to corresponding coding rules, meanwhile, the uniqueness and the accuracy of the two-dimensional code are ensured by adding a coding rule of a unique identifier, the unique identifier can be extracted and verified during decoding so as to avoid repetition and confusion, the generated two-dimensional code picture and asset information are bound, a one-to-one correspondence relationship is established, each two-dimensional code label and geographic information data can be accurately identified and distinguished in a database, the state and position information of the asset can be effectively managed and tracked, and the association relationship between the data can be prevented from being changed or destroyed at will by utilizing the structural design of the association database;
in this embodiment, detecting the damage degree of the visualized two-dimensional code picture, and optimizing the visualized two-dimensional code picture according to a preset threshold value includes:
The method comprises the steps of calling a two-dimensional code picture, and decoding the two-dimensional code picture by utilizing a two-dimensional code decoder to obtain asset data corresponding to the two-dimensional code picture, wherein the asset data is used as asset data information to be detected;
Comparing the to-be-detected data information with original asset data, and if the to-be-detected asset data information is consistent with the original asset data, indicating that the two-dimensional code is not damaged;
comparing the to-be-detected data information with original asset data, if the to-be-detected asset data information is inconsistent with the original asset data, indicating that the two-dimensional code is damaged, and acquiring a data damage degree coefficient according to the difference between the to-be-detected asset data information and the original asset data; the data damage degree coefficient is obtained through the following formula:
；
Wherein S 01 represents a data corruption degree coefficient; n 01 represents the number of characters with the same character position but different characters in the characters with inconsistent correspondence between the asset data information to be detected and the original asset data; n 02 represents the number of characters with different character positions but same characters in characters, in which the correspondence of the asset data information to be detected and the original asset data is inconsistent; n represents the total number of characters contained in the original asset data; n represents the number of unit character segments contained in the original asset data, and the length range of the characters contained in the unit character segments is 10-20; p i represents a proportional number in the ith unit character segment where consecutive characters are inconsistent with characters in the original asset data; λ represents a first parameter coefficient; c x represents the character corresponding data quantity of the inconsistent correspondence between the asset data information to be detected and the original asset data; c y represents the data amount of the original asset data; m represents the number of keywords contained in the inconsistency of the continuous characters in the characters of the inconsistency of the asset data information to be detected and the original asset data; w i represents a weight coefficient corresponding to the ith keyword; w represents the total value of keyword weights; k represents the number of discontinuous inconsistent characters in the characters of which the to-be-detected asset data information is inconsistent with the original asset data; w j represents the weight value of the keyword where the inconsistent character in the inconsistent j-th discontinuous character in the characters where the asset data information to be detected is inconsistent with the original asset data;
Identifying two-dimensional code pictures in an edge detection mode to obtain a damaged area in the two-dimensional code;
acquiring a damage degree coefficient of the two-dimensional code according to the damage region in the two-dimensional code and the whole area region of the two-dimensional code picture;
acquiring quality parameters of the two-dimensional code picture by using the data damage degree coefficient and the two-dimensional code damage degree coefficient;
when the quality parameter of the two-dimensional code picture is lower than a preset parameter threshold, the two-dimensional code picture is not required to be optimized, and the two-dimensional code generation abnormal alarm is directly carried out.
The technical effects of the technical scheme are as follows: by decoding the two-dimensional code picture and comparing the decoded data with the original asset data, whether the two-dimensional code is damaged and the damage degree can be accurately judged. And the data damage degree coefficient is adopted to quantitatively evaluate the data damage degree of the two-dimensional code. The coefficient comprehensively considers a plurality of factors such as the number, the position, the keyword weight and the like of inconsistent characters, so that the damage condition of the two-dimensional code is reflected more comprehensively.
Meanwhile, through an edge detection technology, a damaged area in the two-dimensional code can be rapidly and accurately identified, and a basis is provided for subsequent damage degree evaluation. In addition to the data damage degree coefficient, the ratio of the damage area to the whole area in the two-dimensional code is considered, and the damage degree of the two-dimensional code is evaluated by combining various factors.
The quality parameters of the two-dimensional code pictures can be obtained by combining the data damage degree coefficient and the two-dimensional code damage degree coefficient, and an intuitive two-dimensional code quality index is provided for a manager. When the quality parameter of the two-dimensional code picture is lower than a preset parameter threshold, the system can automatically perform abnormal alarm to remind a manager to timely process the two-dimensional code picture, so that potential problems caused by damage of the two-dimensional code are avoided. The whole process realizes automatic and intelligent management, reduces the need of manual intervention, and improves the efficiency and accuracy of two-dimension code management. Through timely monitoring and early warning, this technical scheme helps preventing potential two-dimensional code problem or trouble, reduces unnecessary loss and trouble.
In summary, the technical scheme of the embodiment provides an effective method for detecting and optimizing the damage degree of the two-dimensional code, and is helpful for ensuring the normal use of the two-dimensional code and the accurate transmission of information.
In this embodiment, obtaining the damage degree coefficient of the two-dimensional code according to the damage region in the two-dimensional code and the whole area region of the two-dimensional code picture includes:
extracting the number of the damaged areas and the area of the area corresponding to each damaged area;
The number of the damaged areas and the area surface corresponding to each damaged area determine the area proportion of the damaged area in the total area of the two-dimensional code;
Invoking a weight value corresponding to the damaged area;
Obtaining a damage degree coefficient of the two-dimensional code by using the area proportion and the weight value corresponding to the damage area, wherein the damage degree coefficient of the two-dimensional code is obtained by the following formula:
；
S 02 represents a damage degree coefficient of the two-dimensional code; p s represents the number of the damaged areas and the area ratio of the damaged area in the total two-dimensional code area is determined by the area surface corresponding to each damaged area; f represents the number of damaged areas; k i represents the weight value of the ith damaged area; s hi represents the occupied area of the damaged portion in the ith damaged area; si represents the area occupied by the ith damaged area; ζ represents the second parameter coefficient.
The technical effects of the technical scheme are as follows: by extracting the number and the area of the damaged areas and considering the weight value of each damaged area, the technical scheme can evaluate the damage degree of the two-dimensional code more accurately. The area ratio provides the ratio of the damaged area of the two-dimensional code in the total area, and the weight value considers the influence degree of different areas on the whole function of the two-dimensional code. And the damage degree of the two-dimensional code can be comprehensively evaluated by combining the two-dimensional code and the two-dimensional code.
The damage degree coefficient of the two-dimensional code can be conveniently calculated through a given formula, and a quantization basis is provided for subsequent optimization or processing. The damage degree coefficient is calculated by considering a plurality of factors (such as the number of areas, the area proportion, the weight value and the like), and the method is more accurate than the method by considering only a single factor.
Meanwhile, by extracting the weight value of each damaged area and the area of a specific damaged part, the technical scheme provides more detailed and specific damage information, and facilitates further analysis and processing. Parameters (such as weight values, area ratios and the like) in the technical scheme can be adjusted according to actual conditions so as to adapt to different application scenes and requirements. And moreover, the damage area of the two-dimensional code is displayed in a visual mode, and a comprehensive evaluation result is provided by combining a quantization index (such as a damage degree coefficient), so that a manager can more intuitively know the damage condition of the two-dimensional code.
In summary, according to the technical scheme of the embodiment, the damage degree of the two-dimensional code is estimated by comprehensively considering a plurality of factors, so that the accuracy and the flexibility of estimation are improved, and powerful support is provided for subsequent optimization or processing.
In this embodiment, obtaining the quality parameter of the two-dimensional code picture by using the data damage degree coefficient and the two-dimensional code damage degree coefficient includes:
the data damage degree coefficient and the two-dimensional code damage degree coefficient are called;
Comparing the data damage degree coefficient with the damage degree coefficient of the two-dimensional code to obtain a comparison result;
when the comparison result shows that the data damage degree coefficient is larger than or equal to the damage degree coefficient of the two-dimensional code, acquiring the quality parameter of the two-dimensional code picture by using a first quality parameter model; the structure of the first quality parameter model is as follows:
；
E 01 represents quality parameters of the two-dimensional code picture obtained by using the first quality parameter model; e represents a preset reference parameter; s 01 represents a data corruption degree coefficient; s 02 represents a damage degree coefficient of the two-dimensional code;
When the comparison result shows that the data damage degree coefficient is smaller than the damage degree coefficient of the two-dimensional code, acquiring the quality parameter of the two-dimensional code picture by using a second quality parameter model; the structure of the second quality parameter model is as follows:
；
E 02 represents a quality parameter of the two-dimensional code picture obtained by using a second quality parameter model; e represents a preset reference parameter; s 01 represents a data corruption degree coefficient; s 02 represents a damage degree coefficient of the two-dimensional code.
The technical effects of the technical scheme are as follows: according to the technical scheme, the damage degree (data damage degree coefficient) of the data layer is considered, and the damage degree (two-dimensional code damage degree coefficient) of the two-dimensional code image is also considered. By comprehensively considering the two factors, the quality of the two-dimensional code picture can be more comprehensively evaluated.
According to the size relation between the data damage degree and the two-dimensional code damage degree, the technical scheme provides two different quality parameter models (a first quality parameter model and a second quality parameter model). This design makes the evaluation more flexible and can adapt to different situations. Meanwhile, through the technical scheme, a quantized two-dimensional code picture quality parameter can be obtained. The parameter can intuitively reflect the damage degree of the two-dimensional code picture and provides a basis for subsequent processing or optimization. By comparing the data damage degree coefficient with the two-dimensional code damage degree coefficient, a proper quality parameter model is selected for evaluation, and compared with the method which only considers a single factor, the method is more accurate.
On the other hand, various factors (such as reference parameters, different quality parameter models and the like) in the technical scheme can be adjusted according to actual requirements so as to adapt to different application scenes and evaluation requirements. The damage area of the two-dimensional code is displayed in a visual mode, and a comprehensive evaluation result is provided by combining the quantized quality parameters, so that a manager can more intuitively know the damage condition of the two-dimensional code picture.
In summary, the above technical solution of the present embodiment can comprehensively consider the damage degree of both the data and the image, and provide the quantized evaluation result through the flexible quality parameter model, which is helpful for improving the efficiency and accuracy of two-dimensional code image management.
In this embodiment, for the informationized management in the fifth step, the method further includes:
Mobile end asset inventory: when checking the asset, related personnel rapidly acquire real-time information of the asset, including the asset basic information, asset change records and contract basic information through the two-dimensional code generated by scanning of the mobile equipment;
information disclosure and query: when information is shown, members of rural collective economic organizations check the account information of each asset by scanning the two-dimension code;
Digital certificate generation and viewing: in the digital certificate generation stage, the system encrypts all asset information and generates a corresponding digital certificate, the digital certificate displays asset card two-dimensional codes, the asset information is subjected to uplink certification, and a user checks asset details in a code scanning mode to ensure that the queried asset information is authenticated;
In this embodiment, in the generation and viewing of the digital certificate, the generation of the corresponding digital certificate specifically includes:
Integrity verification is carried out on the acquired rural collective asset information, and the verified complete rural collective asset information is used as original data for encryption, and the method specifically comprises the following steps:
dividing original data into segments to be encrypted with preset length, and establishing an encryption matrix according to the number of the segments to be encrypted;
Acquiring corresponding interference passwords in a preset password set based on the number of interference times, and sequentially inputting the interference passwords into an encryption matrix;
Calculating the encryption rank of each encryption matrix respectively, generating a rank password based on all the encryption ranks, and superposing the rank password with the homotype matrix to obtain the superposition number generated by the marking position;
Inputting the superposition number to the rest blank positions, obtaining a full encryption matrix, extracting data corresponding to each position in the full encryption matrix, obtaining encryption data, and generating a corresponding key;
Storing the encrypted data and the corresponding key, and performing identity verification and authority control when the encrypted asset information is required to be accessed;
inputting corresponding asset information in a digital certificate template, uploading the manufactured corresponding two-dimensional code picture, and generating a displaced asset digital certificate;
And sorting and classifying the asset information in the generated asset digital certificate, uploading the asset information to a corresponding uplink certificate storage platform, and performing uplink certificate storage operation.
In the embodiment, the high security of the asset information is ensured by a multiple encryption technology and a strict identity verification mechanism, the high efficiency of the encryption process is ensured by adopting a to-be-encrypted segment with a preset length and a high-efficiency encryption algorithm, and the encryption matrix is dynamically established according to the number of to-be-encrypted segments, so that the encryption process is more flexible and adapts to different data scales, the complete tracing and the trusted verification of the asset information are realized by the uplink evidence storage operation, the uniqueness and the non-tamper-resistance of the asset information are ensured, and the reliable data guarantee is provided for the subsequent asset management.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should be covered by the protection scope of the present invention by making equivalents and modifications to the technical solution and the inventive concept thereof.
Claims (6)
1. A rural collective asset resource management method based on two-dimension code and geographic information technology is characterized in that: the method comprises the following steps:
Step one: and (3) data acquisition: comprehensively checking rural collective assets, acquiring basic information of the positions, the areas and the types of the rural collective assets by using a global positioning system or a remote sensing technology, and generating corresponding geographic information data;
aiming at the data acquisition in the first step, the method further comprises the step of inputting geographic information data into a three-dimensional modeling module to establish a three-dimensional model, and specifically comprises the following steps:
Preprocessing the acquired data, and carrying out data standardization on coordinate data in the geographic information data according to a standard data format to obtain standard coordinate data;
Inputting the preprocessed standard coordinate data into a three-dimensional modeling module to determine a three-dimensional map coordinate range of geographic information data, and superposing a simulation model of the asset resource in the three-dimensional map by utilizing a three-dimensional tool to generate a three-dimensional model of the rural collective asset;
optimizing and adjusting the established three-dimensional model of the rural collective asset, converting the model into a displayable data format, and displaying the model on a remote supervision platform;
step two: manufacturing a two-dimensional code label: inputting asset information into a two-dimensional code making system in detail, and generating a corresponding two-dimensional code label for each asset according to the input asset data;
Aiming at the second step, a two-dimension code label is manufactured, including comprehensive checking of rural collective assets and detailed entry of asset information into a system, wherein for each item of asset information, a unique two-dimension code is generated, and the method specifically includes:
Data preparation: the basic information of the rural collective assets is arranged and formatted according to the two-dimension code coding requirement;
Generating a two-dimensional code: constructing a two-dimensional code generation algorithm based on a preset coding rule, inputting the processed asset data into the two-dimensional code generation algorithm, converting the asset data into a two-dimensional code pattern, and generating a visualized two-dimensional code picture;
Two-dimensional code quality detection and optimization: detecting the visualized two-dimensional code picture, detecting the damage degree, contrast and color of the visualized two-dimensional code picture, and optimizing the visualized two-dimensional code picture according to a preset threshold value;
asset information binding: binding the generated two-dimensional code picture with asset information, and establishing a one-to-one correspondence;
Detecting the damage degree of the visualized two-dimensional code picture, optimizing the visualized two-dimensional code picture according to a preset threshold value, and comprising the following steps:
The method comprises the steps of calling a two-dimensional code picture, and decoding the two-dimensional code picture by utilizing a two-dimensional code decoder to obtain asset data corresponding to the two-dimensional code picture, wherein the asset data is used as asset data information to be detected;
Comparing the to-be-detected asset data information with original asset data, and if the to-be-detected asset data information is consistent with the original asset data, indicating that the two-dimensional code is not damaged;
Comparing the to-be-detected asset data information with original asset data, if the to-be-detected asset data information is inconsistent with the original asset data, indicating that the two-dimensional code is damaged, and acquiring a data damage degree coefficient according to the difference between the to-be-detected asset data information and the original asset data; the data damage degree coefficient is obtained through the following formula:
；
Wherein S 01 represents a data corruption degree coefficient; n 01 represents the number of characters with the same character position but different characters in the characters with inconsistent correspondence between the asset data information to be detected and the original asset data; n 02 represents the number of characters with different character positions but same characters in characters, in which the correspondence of the asset data information to be detected and the original asset data is inconsistent; n represents the total number of characters contained in the original asset data; n represents the number of unit character segments contained in the original asset data, and the length range of the characters contained in the unit character segments is 10-20; p i represents a proportional number in the ith unit character segment where consecutive characters are inconsistent with characters in the original asset data; λ represents a first parameter coefficient; c x represents the character corresponding data quantity of the inconsistent correspondence between the asset data information to be detected and the original asset data; c y represents the data amount of the original asset data; m represents the number of keywords contained in the inconsistency of the continuous characters in the characters of the inconsistency of the asset data information to be detected and the original asset data; w i represents a weight coefficient corresponding to the ith keyword; w represents the total value of keyword weights; k represents the number of discontinuous inconsistent characters in the characters of which the to-be-detected asset data information is inconsistent with the original asset data; w j represents the weight value of the keyword where the inconsistent character in the inconsistent j-th discontinuous character in the characters where the asset data information to be detected is inconsistent with the original asset data;
Identifying two-dimensional code pictures in an edge detection mode to obtain a damaged area in the two-dimensional code;
acquiring a damage degree coefficient of the two-dimensional code according to the damage region in the two-dimensional code and the whole area region of the two-dimensional code picture;
acquiring quality parameters of the two-dimensional code picture by using the data damage degree coefficient and the two-dimensional code damage degree coefficient;
When the quality parameter of the two-dimensional code picture is lower than a preset parameter threshold, the two-dimensional code picture is not required to be optimized, and the two-dimensional code is directly subjected to abnormal alarm;
step three: asset resource location: correlating the collected geographic information data with a two-dimensional code label generated by the asset resource to generate a corresponding association relation;
for asset resource location in step three, further comprising:
Constructing an association database for storing the corresponding relation between the two-dimensional code labels corresponding to the assets and the geographic information data, wherein the association database comprises unique identification codes of the two-dimensional code labels, identification codes of the geographic information data and other association information;
matching the collected geographic information data with two-dimensional code labels stored in an association database, and determining data association information based on unique identification codes in the two-dimensional code labels and the geographic information data;
carrying out data verification on the geographic information data and the two-dimensional code label based on the data association information, determining the uniqueness of the association relation, updating the geographic information data regularly according to a preset instruction, and simultaneously updating and replacing the two-dimensional code label;
Step four: sticking a two-dimensional code label: pasting the generated two-dimensional code labels on the corresponding asset resources, and ensuring that each asset resource has a unique two-dimensional code identifier;
Step five: and (3) informatization management: the detailed information of the asset resources corresponding to the two-dimension code is rapidly obtained by scanning the two-dimension code, and meanwhile, the asset resources are subjected to informatization management;
aiming at informationized management in the fifth step, the method further comprises the following steps:
Mobile end asset inventory: when checking the asset, related personnel rapidly acquire real-time information of the asset, including the asset basic information, asset change records and contract basic information through the two-dimensional code generated by scanning of the mobile equipment;
information disclosure and query: when information is shown, members of rural collective economic organizations check the account information of each asset by scanning the two-dimension code;
Digital certificate generation and viewing: in the digital certificate generation stage, the system encrypts all asset information, generates a corresponding digital certificate, displays an asset card two-dimensional code on the digital certificate, and carries out uplink certification on the asset information, and a user checks asset details in a code scanning mode.
2. The rural collective asset resource management method based on the two-dimensional code and the geographic information technology as claimed in claim 1, wherein the method is characterized by comprising the following steps: obtaining damage degree coefficients of the two-dimensional code according to the damage region in the two-dimensional code and the whole area region of the two-dimensional code picture, wherein the damage degree coefficients comprise:
extracting the number of the damaged areas and the area of the area corresponding to each damaged area;
The number of the damaged areas and the area surface corresponding to each damaged area determine the area proportion of the damaged area in the total area of the two-dimensional code;
Invoking a weight value corresponding to the damaged area;
Obtaining a damage degree coefficient of the two-dimensional code by using the area proportion and the weight value corresponding to the damage area, wherein the damage degree coefficient of the two-dimensional code is obtained by the following formula:
；
S 02 represents a damage degree coefficient of the two-dimensional code; p s represents the number of the damaged areas and the area ratio of the damaged area in the total two-dimensional code area is determined by the area surface corresponding to each damaged area; f represents the number of damaged areas; k i represents the weight value of the ith damaged area; s hi represents the occupied area of the damaged portion in the ith damaged area; si represents the area occupied by the ith damaged area; ζ represents the second parameter coefficient.
3. The rural collective asset resource management method based on the two-dimensional code and the geographic information technology as claimed in claim 2, which is characterized in that: obtaining quality parameters of the two-dimensional code picture by using the data damage degree coefficient and the two-dimensional code damage degree coefficient comprises the following steps:
the data damage degree coefficient and the two-dimensional code damage degree coefficient are called;
Comparing the data damage degree coefficient with the damage degree coefficient of the two-dimensional code to obtain a comparison result;
when the comparison result shows that the data damage degree coefficient is larger than or equal to the damage degree coefficient of the two-dimensional code, acquiring the quality parameter of the two-dimensional code picture by using a first quality parameter model; the structure of the first quality parameter model is as follows:
；
E 01 represents quality parameters of the two-dimensional code picture obtained by using the first quality parameter model; e represents a preset reference parameter; s 01 represents a data corruption degree coefficient; s 02 represents a damage degree coefficient of the two-dimensional code;
When the comparison result shows that the data damage degree coefficient is smaller than the damage degree coefficient of the two-dimensional code, acquiring the quality parameter of the two-dimensional code picture by using a second quality parameter model; the structure of the second quality parameter model is as follows:
；
E 02 represents a quality parameter of the two-dimensional code picture obtained by using a second quality parameter model; e represents a preset reference parameter; s 01 represents a data corruption degree coefficient; s 02 represents a damage degree coefficient of the two-dimensional code.
4. The rural collective asset resource management method based on the two-dimensional code and the geographic information technology as claimed in claim 3, wherein the method comprises the following steps of: the two-dimensional code generation specifically comprises the following steps:
Extracting basic information of rural collective assets, determining data to be encoded, converting the determined data into binary bit streams in two-dimension codes, and encoding the original data according to a preset encoding rule;
Generating error correction coding data on the basis of the coding data, and arranging the coding data and the error correction coding data into a matrix according to a rule, wherein the data mask rule of the two-dimensional code is followed in the arrangement process;
and adding a positioning pattern, a timing pattern and a format information functional graph on the basis of the data matrix, and drawing a two-dimensional code image according to the completed data matrix.
5. The rural collective asset resource management method based on the two-dimensional code and the geographic information technology as claimed in claim 4, which is characterized in that: in the process of generating and checking the digital certificate, the corresponding digital certificate is generated, and the method specifically comprises the following steps:
Integrity verification is carried out on the acquired rural collective asset information, and the verified complete rural collective asset information is used as original data for encryption;
inputting corresponding asset information in a digital certificate template, uploading the manufactured corresponding two-dimensional code picture, and generating a displaced asset digital certificate;
And sorting and classifying the asset information in the generated asset digital certificate, uploading the asset information to a corresponding uplink certificate storage platform, and performing uplink certificate storage operation.
6. The rural collective asset resource management method based on the two-dimensional code and the geographic information technology as claimed in claim 5, which is characterized in that: encrypting the verified complete rural collective asset information as original data, wherein the method specifically comprises the following steps:
dividing original data into segments to be encrypted with preset length, and establishing an encryption matrix according to the number of the segments to be encrypted;
Acquiring corresponding interference passwords in a preset password set based on the number of interference times, and sequentially inputting the interference passwords into an encryption matrix;
Calculating the encryption rank of each encryption matrix respectively, generating a rank password based on all the encryption ranks, and superposing the rank password with the homotype matrix to obtain the superposition number generated by the marking position;
Inputting the superposition number to the rest blank positions, obtaining a full encryption matrix, extracting data corresponding to each position in the full encryption matrix, obtaining encryption data, and generating a corresponding key;
the encrypted data and the corresponding key are stored and authentication and rights control must be performed when access to the encrypted asset information is required.
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