Flexible configuration method and system for training subjects
By generating training graphs in training subjects and using binary conversion and protection dictionary encryption, the risk of key loss caused by frequent key use is solved, and the secure transmission and reliable protection of training graphs are achieved.
Patent Information
- Application Number
- CN202510486987.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-17
- Publication Date
- 2026-02-24
- Estimated Expiration
- 2045-04-17
AI Technical Summary
In existing technologies, the frequent use of keys during the image data acquisition process for training participants leads to a high risk of key loss, which cannot effectively protect the security of image data.
The training image set is generated by the image acquisition terminal, and the training image set is encrypted using binary conversion and the construction rules of the protection dictionary to avoid frequent use of the key. Dictionary and decision logic are used instead of traditional key encryption to ensure the security of data transmission.
It effectively reduces the risk of key loss, improves the security of training graph transmission, ensures that the training graph can only be recovered and obtained through a specific dictionary and decision logic, and provides reliable data protection.
Smart Images
Figure CN120378552B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of training subject image transmission technology, specifically to a flexible configuration method and system for training subjects. Background Technology
[0002] In today's various training scenarios, from sports competition training to vocational skills training and military combat training, how to efficiently configure training subjects to improve the training effect and comprehensive ability of trainees has always been a key issue of concern for researchers.
[0003] With the rapid development of information technology, it has become a trend to use digital means to monitor and optimize the training process. Among them, collecting training images of trainees provides rich data support for the flexible configuration of training subjects. By analyzing the training images, we can obtain multi-dimensional information such as trainees' postures, movement trajectories, and skill operation details. Based on this information, we can more accurately understand the training status and ability level of trainees.
[0004] However, the image data of the trainees is highly sensitive and important in this process. Currently, the encryption methods for this image data rely on keys. The collection of trainees' image data is a frequent process. Using keys to encrypt it will result in frequent use of the keys, which will increase the risk of key loss. If the keys are lost, these image data will be leaked, and the image data of the trainees cannot be provided with sufficiently reliable protection.
[0005] To address the above problems, this invention proposes a solution. Summary of the Invention
[0006] The purpose of this invention is to provide a flexible configuration method and system for training subjects in order to solve the problems mentioned in the background art.
[0007] This invention provides a flexible configuration method for training subjects, comprising the following steps:
[0008] Step 1: The image acquisition terminal acquires all image data of the target trainees based on the target training subjects in the current training cycle and generates a training image set of the target trainees in the current training cycle based on it, and transmits the training image set to the communication processing platform;
[0009] Step 2: After receiving the transmitted training graph set, the communication processing platform adds the binary numbers 00 and 01, 10 and 11 into an empty list to obtain the first protection list and the second protection list respectively; the characters 0 and 1 are used as the keys of the first protection dictionary and the second protection dictionary respectively, and the first protection list and the second protection list are used as the values of the second protection dictionary to obtain the first protection dictionary and the second protection dictionary for the current training period.
[0010] Step 3: Perform binary conversion on the training graph to obtain communication processing data, and perform conversion processing on the communication processing data according to the preset conversion processing rules to obtain the training communication data of the target trainees in the current training period, and transmit the training communication data to the cloud analysis terminal;
[0011] Step 4: After receiving the transmitted training communication data, the cloud analysis terminal constructs the first protection dictionary and the second protection dictionary for the current training period. Then, it reverses the conversion processing rules to restore the training graph set of the target trainees for the current training period and stores the training graph set.
[0012] A flexible configuration system for training subjects, including:
[0013] The image acquisition end is used to periodically acquire images of several training actions of the target trainees in the target training subject to obtain several image data based on the target training subject.
[0014] In the current training cycle, the image acquisition terminal generates a training image set for the target trainees based on all image data of the target trainees acquired in the current training cycle and based on the target training subject.
[0015] A communication processing platform is used to convert and process the training image set of the trainees. After receiving the training image set of the target trainees for the current training period, the communication processing platform first constructs the first protection dictionary and the second protection dictionary for the current training period according to the preset construction rules.
[0016] After the construction is completed, the training graph of the target trainees in the current training cycle is converted into binary data, and the converted data is relabeled as communication processing data.
[0017] The communication data is converted and processed according to the preset conversion and processing rules to obtain the training communication data of the target trainees in the current training period.
[0018] Furthermore, the rules for constructing the first and second protection dictionaries for the current training cycle are as follows:
[0019] The first protection list is obtained by adding the binary numbers 00 and 01 to an empty list, and the second protection list is obtained by adding the binary numbers 10 and 11 to an empty list.
[0020] Using the characters 0 and 1 as the keys of the first protection dictionary and the second protection dictionary respectively, and using the first protection list and the second protection list as the values of the second protection dictionary, we obtain the first protection dictionary and the second protection dictionary.
[0021] Furthermore, the conversion processing rules for obtaining the training communication data of the target trainees in the current training cycle are as follows:
[0022] S11: Extract the first 4 characters from the communication processing data in order from left to right to obtain a character combination. Then continue to extract the first 4 characters from the remaining communication processing data until the total number of characters in the remaining communication processing data is less than 4, and then stop extracting.
[0023] S12: According to the order of extraction, all character combinations obtained from the communication processing data are sequentially labeled as B1, B2, ..., Bb, where b≥1, and b is the total number of character combinations extracted from the communication processing data;
[0024] S13: Determine the number of digits of the character combination B1, B2, ..., Bb according to the preset first determination generation rule;
[0025] S14: Traverse the bit sequence of character combinations B1, B2, ..., Bb, extract all character combinations whose bit sequence is not null, and label all extracted character combinations as C1, C2, ..., Cc in the order of character combinations B1, B2, ..., Bb, where c is the total number of bit sequences of character combinations B1, B2, ..., Bb that are not null;
[0026] After extraction, all remaining character combinations are also labeled as D1, D2, ..., Dd in the order of character combinations B1, B2, ..., Bb, where d is the total number of null-digit sequences in character combinations B1, B2, ..., Bb.
[0027] S15: Generate the protection sequence of character combination C1 according to the preset second judgment generation rule;
[0028] S16: According to S15, calculate and obtain the protection sequence of character combination C1, C2, ..., Cc in sequence. For character combination D1, D2, ..., Dd, take the binary number of the bit sequence of character combination D1, D2, ..., Dd as its corresponding protection sequence. For the bit sequence null, convert it to binary number by converting the ASCII code value of each character in null to binary number and concatenating the converted binary numbers.
[0029] S17: Following the order of character combinations B1, B2, ..., Bb, the protected sequences of character combinations B1, B2, ..., Bb are concatenated to obtain the training communication data of the target trainees in the current training cycle.
[0030] Furthermore, it also includes a cloud analysis terminal, which is used to periodically receive the training graph set of the target trainees in the cloud. After receiving the training communication data of the target trainees in the current training period, the cloud analysis terminal first constructs the first protection dictionary and the second protection dictionary of the current training period according to the same architecture rules, and then reverses the conversion processing rules to restore the training graph set of the target trainees in the current training period, and stores the training graph set.
[0031] Compared with existing technologies, it has the following advantages:
[0032] This invention periodically acquires images of several training actions of target trainees for a specific training subject using an image acquisition terminal to obtain periodic training image sets. A communication processing platform then converts the training image sets into communication processing data. During this conversion process, first and second protection dictionaries are constructed. Then, for any given character combination, each character is checked for whether it is 1. Based on the check result, a bit sequence is obtained, and a relevant dictionary type is selected according to the bit sequence. The position of the corresponding element is found based on the dictionary content, thus obtaining the corresponding protection conversion sequence. This method avoids the risk of key loss during frequent transmissions caused by key encryption. Furthermore, encryption logic is used instead of key encryption to prevent key loss. Only through specific dictionaries and check logic can the training image sets be reconstructed, ensuring the security of training image set transmission. Attached Figure Description
[0033] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation
[0034] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0035] Please see Figure 1 This application provides a flexible configuration method and system for training subjects, including an image acquisition end;
[0036] The image acquisition terminal is used to periodically acquire images of several training actions of the target trainees of the target training subject to obtain several image data based on the target training subject. In this application, the target training subject includes several specified training actions, and the target trainees need to complete all the corresponding training actions to meet the training requirements of the target training subject.
[0037] In the current training cycle, the image acquisition terminal generates a training image set for the target trainees based on all image data of the target trainees based on the target training subject acquired in the current training cycle, and transmits the training image set to the communication processing platform.
[0038] The communication processing platform is used to convert the training graphs of trainees to protect the security of the training graphs during the interaction process. After receiving the training graphs of the target trainee for the current training period, the communication processing platform first constructs a first protection dictionary and a second protection dictionary for the current training period according to preset construction rules. The construction rules are as follows:
[0039] The first protection list is obtained by adding the binary numbers 00 and 01 to an empty list, and the second protection list is obtained by adding the binary numbers 10 and 11 to an empty list.
[0040] The first and second protection dictionaries are obtained by using the characters 0 and 1 as the keys of the first protection dictionary and the second protection dictionary, respectively, and by using the first protection list and the second protection list as the values of the second protection dictionary.
[0041] After the construction is completed, the training graph of the target trainees in the current training cycle is converted into binary data, and the converted data is relabeled as communication processing data.
[0042] The communication processing data is converted according to preset conversion rules, which are as follows:
[0043] S11: Extract the first 4 characters from the communication processing data in order from left to right to obtain a character combination. Then continue to extract the first 4 characters from the remaining communication processing data until the total number of characters in the remaining communication processing data is less than 4, and then stop extracting.
[0044] It should be noted here that if the total number of characters of the remaining communication processing data is less than 4, the remaining communication processing data will be marked as protected redundant data.
[0045] S12: According to the order of extraction, all character combinations obtained from the communication processing data are sequentially labeled as B1, B2, ..., Bb, where b≥1, and b is the total number of character combinations extracted from the communication processing data;
[0046] S13: Determine the number of digits in the character combination B1, B2, ..., Bb according to the preset first determination generation rule. The first determination generation rule is as follows:
[0047] S131: In order from left to right, each character in the character combination B1 is checked for whether it is 1. During the check, the number of digits of the character that is 1 in the character combination B1 is recorded. Then, according to the order in which the characters are checked for whether they are 1, all the recorded digits are concatenated to obtain the digit sequence of the character combination B1.
[0048] It should be noted here that if all characters constituting character combination B1 are not 1, then null will be used as the bit sequence of character combination B1.
[0049] In this embodiment, the number of digits corresponding to all characters constituting character combination B1 are 1, 2, 3, and 4 in order from left to right. Similarly, the number of digits corresponding to all characters in the other character combinations are 1, 2, 3, and 4 in order from left to right.
[0050] S132: Calculate and obtain the bit sequence of character combinations B2, B3, ..., Bb in sequence according to S131;
[0051] S14: Traverse the bit sequence of character combinations B1, B2, ..., Bb, extract all character combinations whose bit sequence is not null, and label all extracted character combinations as C1, C2, ..., Cc in the order of character combinations B1, B2, ..., Bb, where c is the total number of bit sequences of character combinations B1, B2, ..., Bb that are not null;
[0052] After extraction, all remaining character combinations are also labeled as D1, D2, ..., Dd in the order of character combinations B1, B2, ..., Bb, where d is the total number of null-digit sequences in character combinations B1, B2, ..., Bb.
[0053] S15: Generate the protection sequence of character combination C1 according to the preset second determination generation rule. The second determination generation rule is as follows:
[0054] S151: In order from left to right, label all the characters that make up the bit sequence of character combination C1 as E1, E2, ..., Ee, 1≤e≤4;
[0055] S152: First, determine the size of character E1. If the value of character E1 is within the range (0,2], then character E1 is determined to be related to the first protection dictionary. If the value of character E1 is within the range (2,4], then character E1 is determined to be related to the second protection dictionary.
[0056] S153: In S152, if it is determined that character E1 is related to the first protection dictionary, then one element is selected from the first protection dictionary based on character E1. Specifically:
[0057] If character E1 is 1, then extract the first element from the value of the first protection dictionary, i.e. the first protection list, and concatenate the element with the key of the first protection dictionary to obtain the protection conversion sequence of character E1;
[0058] If character E1 is 2, then the second element is extracted from the value of the first protection dictionary, i.e., the first protection list. The element and the key of the first protection dictionary are concatenated to obtain the protection conversion sequence of character E1. It should be noted that in the process of concatenating the protection conversion sequence, the key is concatenated first and the element is concatenated later.
[0059] S154: In S152, if it is determined that character E1 is related to the second protection dictionary, then one element is selected from the second protection dictionary based on character E1. Specifically: if character E1 is 3, then the first element is extracted from the value of the second protection dictionary, i.e. the second protection list, and the element and the key of the second protection dictionary are concatenated to obtain the protection conversion sequence of character E1.
[0060] If character E1 is 4, then the second element is extracted from the value of the second protection dictionary, i.e., the second protection list. The element and the key of the second protection dictionary are concatenated to obtain the protection conversion sequence of character E1. It should be noted that in the process of concatenating the protection conversion sequence, the key is concatenated first and the element is concatenated later.
[0061] S155: Calculate and obtain the protection transition sequence of characters E2, ..., Ee in sequence according to S151 to S154;
[0062] S156: Concatenate the corresponding protection conversion sequences of characters E1, E2, ..., E4 in order to obtain the protection sequence of character combination C1;
[0063] S16: According to S15, the protection sequence of character combination C1, C2, ..., Cc is calculated and obtained in sequence. For character combination D1, D2, ..., Dd, the binary number of the bit sequence of character combination D1, D2, ..., Dd is used as its corresponding protection sequence. In this application, for the bit sequence null, the ASCII code value of each character in null is converted into a binary number, and the converted binary numbers are concatenated.
[0064] S17: Following the order of character combinations B1, B2, ..., Bb, the protection sequences of character combinations B1, B2, ..., Bb are concatenated to obtain the training communication data of the target trainees in the current training cycle. It should be noted that if there is redundant protection data, the redundant protection data is concatenated to the rightmost end of the training communication data.
[0065] The communication processing platform transmits the training communication data of the target trainees in the current training cycle to the cloud analysis terminal;
[0066] The cloud analysis terminal is used to periodically receive and analyze the training graphs of the target trainees in the cloud. After receiving the training communication data of the target trainees in the current training period, the cloud analysis terminal first constructs the first protection dictionary and the second protection dictionary of the current training period according to the same architecture rules. Then, it reverses the conversion processing rules to restore the training graphs of the target trainees in the current training period and stores the training graphs for researchers to analyze.
[0067] Some of the data in the above formulas are numerical calculations with dimensions removed, and the contents not described in detail in this specification are all prior art known to those skilled in the art.
[0068] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.
Claims
1. A flexible configuration method for training subjects, characterized in that, Includes the following steps: Step 1: The image acquisition terminal acquires all image data of the target trainees based on the target training subjects in the current training cycle and generates a training image set of the target trainees in the current training cycle based on it, and transmits the training image set to the communication processing platform; Step 2: After receiving the transmitted training graph set, the communication processing platform adds the binary numbers 00 and 01, 10 and 11 into an empty list to obtain the first protection list and the second protection list respectively; the characters 0 and 1 are used as the keys of the first protection dictionary and the second protection dictionary respectively, and the first protection list and the second protection list are used as the values of the second protection dictionary to obtain the first protection dictionary and the second protection dictionary for the current training period. Step 3: Convert the training graph set into binary to obtain communication processing data, and then process the communication processing data according to preset conversion rules to obtain the training communication data of the target trainees in the current training period. Transmit the training communication data to the cloud analysis terminal. The conversion rules are as follows: S11: Extract the first 4 characters from the communication processing data in order from left to right to obtain a character combination. Then continue to extract the first 4 characters from the remaining communication processing data until the total number of characters in the remaining communication processing data is less than 4, and then stop extracting. S12: According to the order of extraction, all character combinations obtained from the communication processing data are sequentially labeled as B1, B2, ..., Bb, where b≥1, and b is the total number of character combinations extracted from the communication processing data; S13: Determine the number of digits of the character combination B1, B2, ..., Bb according to the preset first determination generation rule; S14: Traverse the bit sequence of character combinations B1, B2, ..., Bb, extract all character combinations whose bit sequence is not null, and label all extracted character combinations as C1, C2, ..., Cc in the order of character combinations B1, B2, ..., Bb, where c is the total number of bit sequences of character combinations B1, B2, ..., Bb that are not null; After extraction, all remaining character combinations are also labeled as D1, D2, ..., Dd in the order of character combinations B1, B2, ..., Bb, where d is the total number of null-digit sequences in character combinations B1, B2, ..., Bb. S15: Generate the protection sequence of character combination C1 according to the preset second judgment generation rule; S16: According to S15, calculate and obtain the protection sequence of character combination C1, C2, ..., Cc in sequence. For character combination D1, D2, ..., Dd, take the binary number of the bit sequence of character combination D1, D2, ..., Dd as its corresponding protection sequence. When the bit sequence is null, it is converted into a binary number by converting the ASCII code value of each character in null into a binary number and concatenating the converted binary numbers. S17: Following the order of character combinations B1, B2, ..., Bb, the protection sequences of character combinations B1, B2, ..., Bb are concatenated to obtain the training communication data of the target trainees in the current training cycle; Step 4: After receiving the transmitted training communication data, the cloud analysis terminal constructs the first protection dictionary and the second protection dictionary for the current training period. Then, it reverses the conversion processing rules to restore the training graph set of the target trainees for the current training period and stores the training graph set.
2. A flexible configuration system for training subjects, characterized in that, include: The image acquisition end is used to periodically acquire images of several training actions of the target trainees in the target training subject to obtain several image data based on the target training subject. The image acquisition terminal generates a training image set for the target trainees in the current training period based on all image data of the target trainees based on the target training subject acquired in the current training period; A communication processing platform is used to convert and process the training graphs of trainees. After receiving the training graphs of the target trainees for the current training period, the communication processing platform first constructs a first protection dictionary and a second protection dictionary for the current training period according to preset construction rules. The construction rules for the first protection dictionary and the second protection dictionary for the current training period are as follows: The first protection list is obtained by adding the binary numbers 00 and 01 to an empty list, and the second protection list is obtained by adding the binary numbers 10 and 11 to an empty list. The first and second protection dictionaries are obtained by using the characters 0 and 1 as the keys of the first protection dictionary and the second protection dictionary, respectively, and by using the first protection list and the second protection list as the values of the second protection dictionary. After the communication processing platform is built, it performs binary conversion on the training graph set of the target trainees in the current training cycle and relabels the converted data as communication processing data. The communication processing platform converts the communication data according to preset conversion rules to obtain the training communication data of the target trainees in the current training period. The conversion rules are as follows: S11: Extract the first 4 characters from the communication processing data in order from left to right to obtain a character combination. Then continue to extract the first 4 characters from the remaining communication processing data until the total number of characters in the remaining communication processing data is less than 4, and then stop extracting. S12: According to the order of extraction, all character combinations obtained from the communication processing data are sequentially labeled as B1, B2, ..., Bb, where b≥1, and b is the total number of character combinations extracted from the communication processing data; S13: Determine the number of digits of the character combination B1, B2, ..., Bb according to the preset first determination generation rule; S14: Traverse the bit sequence of character combinations B1, B2, ..., Bb, extract all character combinations whose bit sequence is not null, and label all extracted character combinations as C1, C2, ..., Cc in the order of character combinations B1, B2, ..., Bb, where c is the total number of bit sequences of character combinations B1, B2, ..., Bb that are not null; After extraction, all remaining character combinations are also labeled as D1, D2, ..., Dd in the order of character combinations B1, B2, ..., Bb, where d is the total number of null-digit sequences in character combinations B1, B2, ..., Bb. S15: Generate the protection sequence of character combination C1 according to the preset second judgment generation rule; S16: According to S15, calculate and obtain the protection sequence of character combination C1, C2, ..., Cc in sequence. For character combination D1, D2, ..., Dd, take the binary number of the bit sequence of character combination D1, D2, ..., Dd as its corresponding protection sequence. When the bit sequence is null, it is converted into a binary number by converting the ASCII code value of each character in null into a binary number and concatenating the converted binary numbers. S17: Following the order of character combinations B1, B2, ..., Bb, the protected sequences of character combinations B1, B2, ..., Bb are concatenated to obtain the training communication data of the target trainees in the current training cycle.
3. The flexible configuration system for training subjects according to claim 2, characterized in that, The first rule for generating the bit sequence of character combinations B1, B2, ..., Bb in S13 is as follows: S131: In order from left to right, each character in the character combination B1 is checked for whether it is 1. During the check, the number of digits of the character that is 1 in the character combination B1 is recorded. Then, according to the order in which the characters are checked for whether they are 1, all the recorded digits are concatenated to obtain the digit sequence of the character combination B1. If all characters constituting character combination B1 are not 1, then null is used as the bit sequence of character combination B1. From left to right, the number of digits corresponding to all characters in character combination B1 are 1, 2, 3, and 4 respectively. Similarly, the number of digits corresponding to all characters in the other character combinations are 1, 2, 3, and 4 respectively from left to right. S132: Calculate and obtain the bit sequence of character combinations B2, B3, ..., Bb in sequence according to S131.
4. The flexible configuration system for training subjects according to claim 2, characterized in that, The second determination rule for generating the protection sequence of character combination C1 in S15 is as follows: S151: In order from left to right, label all the characters that make up the bit sequence of character combination C1 as E1, E2, ..., Ee, 1≤e≤4; S152: First, determine the size of character E1. If the value of character E1 is within the range (0,2], then character E1 is determined to be related to the first protection dictionary. If the value of character E1 is within the range (2,4], then character E1 is determined to be related to the second protection dictionary. S153: In S152, if it is determined that character E1 is related to the first protection dictionary, then one element is selected from the first protection dictionary based on character E1. Specifically: If character E1 is 1, then extract the first element from the value of the first protection dictionary, i.e. the first protection list, and concatenate the element with the key of the first protection dictionary to obtain the protection conversion sequence of character E1; If character E1 is 2, then extract the second element from the value of the first protection dictionary, i.e. the first protection list, and concatenate the element with the key of the first protection dictionary to obtain the protection conversion sequence of character E1; S154: In S152, if it is determined that character E1 is related to the second protection dictionary, then one element is extracted from the second protection dictionary based on character E1 to obtain the protection conversion sequence of character E1. S155: Calculate and obtain the protection transition sequences of characters E2, ..., Ee in sequence according to S151 to S154.
5. The flexible configuration system for training subjects according to claim 4, characterized in that, In S154, the content of one element selected from the second protection dictionary based on the character E1 is as follows: if the character E1 is 3, then the first element is extracted from the value of the second protection dictionary, i.e., the second protection list, and the element and the key of the second protection dictionary are concatenated to obtain the protection conversion sequence of the character E1. If character E1 is 4, then the second element is extracted from the value of the second protection dictionary, i.e., the second protection list, and the element and the key of the second protection dictionary are concatenated to obtain the protection conversion sequence of character E1.
6. The flexible configuration system for training subjects according to claim 2, characterized in that, It also includes a cloud analysis terminal, which is used to periodically receive the training graph set of the target trainees in the cloud. After receiving the training communication data of the target trainees in the current training period, the cloud analysis terminal first constructs the first protection dictionary and the second protection dictionary of the current training period according to the same architecture rules, and then reverses the conversion processing rules to restore the training graph set of the target trainees in the current training period and stores the training graph set.
Citation Information
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