Method for carrying out mobile live-action cognition on Chinese calligraphy culture

Abstract

A method for mobile live-action cognition of Chinese calligraphy culture belongs to the technical field of mobile live-action cognition, and combines a suspicion component and tracking software to improve the credibility of confirmation of a tracking information account and guarantee the stability of a penmanship practicing work in a transmission period; the tracking information is grouped, and the reason that the defect is suspicious under abnormal tracking is analyzed and confirmed through the previous tracking task of the corresponding information item of each group of tracking information, so that a worker is cooperated to handle the abnormal task, and a processing thought is given; and moreover, the disposal efficiency is improved, and the complex operation of abnormal retrieval after transfer of the calligraphy practicing works is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of mobile real-scene recognition, and in particular relates to a method for mobile real-scene recognition of Chinese calligraphy culture. Background Art

[0002] Chinese calligraphy is a traditional art form unique to Chinese characters and an important part of China's excellent traditional culture.

[0003] As for the mobile real-scene recognition of Chinese calligraphy culture, currently, the solution mentioned in the patent publication number "CN215182569U" is often used to implement the mobile real-scene recognition of Chinese calligraphy culture. Specifically, the digital calligraphy teaching system is opened through an interactive digital copying table to learn calligraphy knowledge, and the calligraphy works are photographed through a calligraphy demonstration device and transmitted to the calligraphy software system, waiting for the comments of the online calligraphy teacher.

[0004] When the calligraphy demonstration device transmits the calligraphy works to the calligraphy software system, it is often necessary to track the source of the calligraphy works. That is, the calligraphy software system must perform work tracking at a very fast pace to ensure the accuracy and efficiency of the calligraphy works. Such calligraphy works often need to be confirmed and tracked in a very short period of time. However, there are often work tracking periods with different rhythms in a calligraphy software system. Such regular tracking is suitable for timely detection and proofreading of errors and omissions in the calligraphy works to ensure the completeness and credibility of the calligraphy works. Therefore, the credibility and accuracy of such calligraphy works to be tracked must be additionally guaranteed. However, the current risk of calligraphy works being attacked by hackers during transmission leads to defects such as failure to track the works. Under the condition of ensuring credibility, it is also very important to analyze the reasons for the failure to track, which is suitable for the calligraphy software system to confirm that the tracking information itself is abnormal or the transmission status is abnormal. Summary of the invention

[0005] In order to solve the defects in the prior art, the present invention provides a method for mobile real-scene recognition of Chinese calligraphy culture, which improves the credibility of tracking information account confirmation by combining the questioning component and the tracking software, and ensures the stability of the calligraphy works during the transmission period; it also groups the tracking information, and analyzes and confirms the suspicious reasons for the defects under the tracking anomalies through the previous tracking tasks of the corresponding information items of each group of tracking information, so as to provide a solution idea for collaborative workers to deal with the anomaly tasks; and improves the efficiency of the treatment, and improves the complex operation of retrieving anomalies after the calligraphy works are transmitted.

[0006] The present invention uses the following technical solutions.

[0007] A method for mobile real-scene recognition of Chinese calligraphy culture, comprising:

[0008] Open the digital calligraphy teaching system through the interactive digital copying table to learn calligraphy knowledge, take photos of calligraphy works through the calligraphy demonstration device and upload them to the calligraphy software system, and wait for comments from the online calligraphy teacher;

[0009] The calligraphy demonstration device transfers the calligraphy works to the calligraphy software system, and also includes:

[0010] Step 1, grouping the tracking information in the information table formed by the tracking software according to the difference in tracking speed; and constructing the tracking entries of each tracking purpose according to the grouped tracking information;

[0011] Step 2, confirm the actual tracking time interval of the corresponding tracking items for each tracking purpose;

[0012] Step 3, detect the tracking conclusions of each tracking target at the corresponding actual tracking time interval. If the tracking conclusion has abnormal feedback, extract the read transmission information registered by the suspicious component set in the tracking software to confirm the suspicious tracking reason of the abnormal feedback;

[0013] Step 4: Based on the suspicious tracking reason, send the corresponding feedback message to the tracking software for execution prompt.

[0014] Furthermore, Step 1 specifically includes:

[0015] Step 1-1, define the tracking information of the constant tracking speed pre-set in the information table as available tracking information, extract the tracking speed S registered by all available tracking information, and the highest tracking speed S related to the available tracking information in the information table zg With minimum tracking speed S zd , calculate the corresponding tracking factor s of the information table;

[0016] Step 1-2, arrange the available tracking information in order from low to high according to the corresponding tracking speed values, and cut it into several groups using the tracking factor s as a unit starting from the first available tracking information until all the available tracking information are grouped.

[0017] Furthermore, in Step 1-1, Here P represents the total number of categories of available tracking information corresponding to different tracking speeds.

[0018] Furthermore, in Step 1, the tracking purpose is the tracking entity registered in the tracking document formed by the tracking software, and each tracking purpose forms a corresponding tracking message formed by the tracking information.

[0019] Furthermore, in Step 1, the tracking message includes a set of tracking information and several sets of tracking information; according to the tracking purpose and the tracking message, a tracking entry of the tracking message registered corresponding to each tracking purpose is constructed, and when the tracking message registered in the tracking entry contains several sets of tracking information, each set of tracking information is arranged in the order of previous registration.

[0020] Furthermore, Step 2 specifically includes:

[0021] When there is only one available tracking information in the tracking entry, the tracking entry is defined as a single tracking entry; the tracking time interval corresponding to the available tracking information is selected as the actual tracking time interval of the single tracking entry; when the tracking entry contains n1 available tracking information and the n1 available tracking information belong to a group of available tracking information, the tracking entry is defined as a secondary tracking entry, and the average of the tracking time intervals registered by the available tracking information of the corresponding group is calculated as the actual tracking time interval of the corresponding secondary tracking entry.

[0022] Furthermore, Step 2 specifically includes:

[0023] If there are n2 available tracking information in the tracking entry and the n2 available tracking information do not belong to one group of available tracking information, the tracking entry is defined as a three-level tracking entry, and the minimum tracking time interval registered in each group of available tracking information is selected as the actual tracking time interval of the corresponding three-level tracking entry.

[0024] Furthermore, Step 3 specifically includes:

[0025] Step 3-1, the feedback anomaly is the situation that each process does not retrieve the tracking conclusion when performing search and reading on the tracking target; the questionable component is the permission software that performs account confirmation and read permission on all processes according to the agreed communication rules; the read transmission information is the read confirmation message registered during the tracking execution of the process registration tracking software; the read confirmation message contains the permission rights and read value of the reading process;

[0026] Step 3-2, if the tracking entry corresponding to the feedback tracking conclusion is a single tracking entry, extract the single tracking entry corresponding to the tracking purpose and register the read value of the right of another process that can be read at the feedback abnormal time point. The read value includes read achieved, read not fully achieved and read not fully achieved; use the equation: Calculate the singular parameter Z1 of the tracking information corresponding to the single tracking entry; here R0 represents the total number of tracking tasks when the process with the same read right reads the tracking entry to register several sets of tracking information, and R1 represents the number of reading tasks when the reading value of the tracking entry registered by the process with the same read right is not fully achieved, and the corresponding tracking information that is not fully achieved is the same as the tracking information registered by the single tracking entry;

[0027] Get the total number of tracking tasks of all processes with read rights R2 at the feedback point of a single tracking entry, and the number of tasks R3 whose read value is completely unreachable, calculate the singular parameter Z2 of the corresponding transmission status of the single tracking entry, And calculate the mean of singular parameters Z0 at the time point registered by the tracking software,

[0028] Set the singular parameter critical value Z3 of the corresponding tracking information of a single tracking entry,

[0029] Calculate the tracking information attribute decrement z1 and the transmission status attribute decrement z2 respectively, z1 = Z1-Z3, z2 = Z2-Z0;

[0030] Step 3-3, if the modulus of the amount obtained by subtracting z1 from z2 is not higher than the decrement threshold, the suspicious tracking reason for the abnormal feedback of the single tracking item is that the tracking information or the transmission status is abnormal;

[0031] If z1 is higher than z2 and the modulus of the amount obtained by subtracting them is higher than the decrement threshold, the suspicious tracking reason for delivering a single tracking item abnormal feedback is that the tracking information is abnormal;

[0032] If z1 is lower than z2 and the modulus of the amount obtained by subtraction is higher than the decrement threshold, the suspected tracking reason for the abnormal feedback of the transmission single tracking item is that the transmission status is abnormal;

[0033] Step 3-4, if the tracking entry corresponding to the feedback tracking conclusion is a secondary tracking entry or a tertiary tracking entry, go to Step 3-2 to calculate the singular parameters of the corresponding values ​​of each tracking information in the tracking entry, the critical value of the singular parameters, the singular parameters corresponding to the transmission status and the average of the singular parameters at the time point, and analyze the suspicious tracking reasons for the abnormal feedback of the secondary tracking entry or the tertiary tracking entry.

[0034] Furthermore, Step 3-4 specifically includes:

[0035] Step 3-4-1, calculate the corresponding tracking information attribute decrement z1 and the transfer status attribute decrement z2 of each tracking information in the secondary tracking entry or the tertiary tracking entry, using the equation: n={n1,n2}; z0 is the average of the corresponding tracking attribute reductions of all tracking information;

[0036] Calculate the separation parameter W of the secondary tracking entry or the tertiary tracking entry based on the entire tracking information. The higher the separation parameter, the higher the deviation amplitude of the attribute decrement of the tracking information registered in the same tracking entry. When calculating the separation parameter of the secondary tracking entry based on the entire tracking information, n=n1. When calculating the separation parameter of the tertiary tracking entry based on the entire tracking information, n=n2.

[0037] Step 3-4-2, set the separation parameter critical value W0, when W is not less than W0, the suspicious tracking reason for sending abnormal feedback of the secondary tracking entry or the tertiary tracking entry is abnormal transmission status; when W is less than W0, calculate the corresponding tracking information attribute reduction mean z0 and the transmission status attribute reduction mean z20 of all tracking information in the secondary tracking entry or the tertiary tracking entry, z0 = (∑z1) / n1, z20 = (∑z2) / n2;

[0038] Step 3-4-3, according to the average reduction of the tracking information attribute z0 and the average reduction of the transmission status attribute z20, go to Step 3-3 to determine the suspicious tracking reason.

[0039] A device for mobile real-scene recognition of Chinese calligraphy culture, comprising:

[0040] A construction module, which is used to group the tracking information in the information table formed by the tracking software according to the difference in tracking speed; and to construct tracking entries for each tracking purpose according to the grouped tracking information;

[0041] A confirmation module, which is used to confirm the actual tracking time interval of the corresponding tracking items of each tracking purpose;

[0042] The detection module is used to detect the tracking conclusions of each tracking target at the corresponding actual tracking interval. If the tracking conclusion has abnormal feedback, the reading transmission information registered by the suspicious component set in the tracking software is extracted to confirm the suspicious tracking reason of the abnormal feedback;

[0043] The transmission module is used to transmit corresponding feedback messages to the tracking software for execution prompts according to the suspicious tracking reasons.

[0044] The beneficial effects of the present invention are that, compared with the prior art, the present invention improves the credibility of tracking information account confirmation by combining the questioning component and the tracking software, thereby ensuring the stability of the calligraphy works during the transmission period; it also groups the tracking information, and analyzes and confirms the suspicious reasons for defects under tracking anomalies through the past tracking tasks of the corresponding information items of each group of tracking information, thereby providing a solution idea for collaborative workers to handle anomaly tasks; and improves the efficiency of processing, and improves the complex operation of retrieving anomalies after the calligraphy works are transmitted. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a partial flow chart of the method for mobile real-scene recognition of Chinese calligraphy culture described in the present invention;

[0046] Figure 2 It is a schematic diagram of the module structure of the device for mobile real-scene recognition of Chinese calligraphy culture described in the present invention. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely expressed in combination with the drawings in the embodiments of the present invention. The embodiments expressed in this application are only embodiments of a part of the present invention, not all embodiments. According to the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the scope of protection of the present invention.

[0048] like Figure 1 As shown, the method for mobile real-scene recognition of Chinese calligraphy culture described in the present invention includes:

[0049] Open the digital calligraphy teaching system through the interactive digital copying table to learn calligraphy knowledge, take photos of calligraphy works through the calligraphy demonstration device and upload them to the calligraphy software system, and wait for comments from the online calligraphy teacher;

[0050] The calligraphy demonstration device transfers the calligraphy works to the calligraphy software system, and also includes:

[0051] Step 1, the tracking information in the information table formed by the tracking software is grouped by tracking speed (i.e., how many times per second); and the tracking entries of each tracking purpose are constructed according to the grouped tracking information; the tracking software can be 360 ​​Guardian software. The tracking information includes the ID (pre-set unique identifier) ​​of the calligraphy demonstration device that transmits the calligraphy work to the calligraphy software system and the ID (pre-set unique identifier) ​​of each node during the transmission. Different IDs are different types of tracking information.

[0052] Step 2, confirm the actual tracking time interval of the corresponding tracking items for each tracking purpose;

[0053] Step 3, detect the tracking conclusions of each tracking target at the corresponding actual tracking time interval. If the tracking conclusion has abnormal feedback, extract the read transmission information registered by the suspicious component set in the tracking software to confirm the suspicious tracking reason of the abnormal feedback;

[0054] Step 4: Based on the suspicious tracking reason, send the corresponding feedback message to the tracking software for execution prompt.

[0055] In a preferred but non-limiting embodiment of the present invention, Step 1 specifically comprises:

[0056] Step 1-1, define the tracking information of the constant tracking speed pre-set in the information table as available tracking information, extract the tracking speed S registered by all available tracking information, and the highest tracking speed S related to the available tracking information in the information table zg With minimum tracking speed S zd , calculate the corresponding tracking factor s of the information table;

[0057] In a preferred but non-limiting embodiment of the present invention, in Step 1-1, Here P represents the total number of categories of available tracking information corresponding to different tracking speeds.

[0058] Step 1-2, arrange the available tracking information in order from low to high according to the corresponding tracking speed values, and cut it into several groups using the tracking factor s as a unit starting from the first available tracking information until all the available tracking information are grouped.

[0059] In a preferred but non-limiting embodiment of the present invention, in Step 1, the tracking purpose is the tracking entity registered in the tracking document formed by the tracking software, and each tracking purpose forms a corresponding tracking message formed by the tracking information.

[0060] In a preferred but non-limiting embodiment of the present invention, in Step 1, the tracking message includes a set of tracking information and several sets of tracking information; according to the tracking purpose and the tracking message, a tracking entry of the tracking message registered corresponding to each tracking purpose is constructed, and when the tracking message registered in the tracking entry contains several sets of tracking information, the tracking information is arranged in the order of previous registration. The numerical category in the tracking entry is constant, but the value corresponding to the numerical category changes according to the refresh of the information table.

[0061] Structuring the corresponding information items for each tracking target can effectively present the existing work tracking use cases in the information table and provide preliminary numerical processing preparation for numerical analysis.

[0062] In a preferred but non-limiting embodiment of the present invention, Step 2 specifically includes:

[0063] When there is only one available tracking information in the tracking entry, the tracking entry is defined as a single tracking entry; the tracking time interval corresponding to the available tracking information (that is, the available tracking information is detected within the set time interval) is selected as the actual tracking time interval of the single tracking entry; when the tracking entry contains n1 available tracking information and the n1 available tracking information belong to a group of available tracking information, the tracking entry is defined as a secondary tracking entry, and the average of the tracking time intervals registered by the available tracking information of the corresponding group is calculated as the actual tracking time interval of the corresponding secondary tracking entry.

[0064] In a preferred but non-limiting embodiment of the present invention, Step 2 specifically further comprises:

[0065] If there are n2 available tracking information in the tracking entry and the n2 available tracking information do not belong to one group of available tracking information, the tracking entry is defined as a three-level tracking entry, and the minimum tracking time interval registered in each group of available tracking information is selected as the actual tracking time interval of the corresponding three-level tracking entry.

[0066] Analyzing the actual tracking time interval is to efficiently perform the identification of the confirmatory tracking period for each tracking item to achieve accurate measurement of the tracking conclusion, and analyze the minimum tracking time interval to reduce the impact on the overall tracking information when tracking is not achieved.

[0067] In a preferred but non-limiting embodiment of the present invention, Step 3 specifically includes:

[0068] Step 3-1, the feedback anomaly is the situation that each process does not retrieve the tracking conclusion when performing search and reading for the tracking target; the suspect component is the permission software that performs account confirmation and read permission for all processes according to the agreed communication rules (UDP, etc.); the read transmission information is the read confirmation message registered during the tracking execution of the process registration tracking software; the read confirmation message contains the permission rights and read value of the reading process;

[0069] Performing analysis based on the read values ​​registered by the suspected component can effectively increase the numerical attributes of the abnormal value and confirm the correctness of the abnormal reading;

[0070] Step 3-2, if the tracking entry corresponding to the feedback tracking conclusion is a single tracking entry, extract the single tracking entry corresponding to the tracking purpose and register the read value of the right of another process that can be read at the feedback abnormal time point. The read value includes read achieved, read not fully achieved and read not fully achieved; use the equation: Calculate the singular parameter Z1 of the tracking information corresponding to the single tracking entry; here R0 represents the total number of tracking tasks when the process with the same reading right reads the tracking entry to register a number of tracking information, and R1 represents the number of reading tasks when the reading value of the tracking entry to register a number of tracking information read by the process with the same reading right is not completely achieved, and the reading of the corresponding tracking information that is not completely achieved is the same as the tracking information registered by the single tracking entry; the higher the singular parameter of the corresponding tracking information is, the greater the probability that the tracking information itself is abnormal;

[0071] Here, the process with the same read right represents a separate tracking entry corresponding to the tracking purpose, and registers another process with the right to allow the read process at the feedback abnormality point.

[0072] Get the total number of tracking tasks of all processes with read rights R2 at the feedback point of a single tracking entry, and the number of tasks R3 whose read value is completely unreachable, calculate the singular parameter Z2 of the corresponding transmission status of the single tracking entry, And calculate the mean of singular parameters Z0 at the time point registered by the tracking software, The higher the singular parameter, which represents the average transmission status obtained based on the singular parameter Z corresponding to N time points, the higher the probability of abnormality during the transmission period;

[0073] Set the singular parameter critical value Z3 of the corresponding tracking information of a single tracking entry,

[0074] Calculate the tracking information attribute decrement z1 and the transmission status attribute decrement z2 respectively, z1 = Z1-Z3, z2 = Z2-Z0;

[0075] Step 3-3, if the modulus of the amount obtained by subtracting z1 from z2 is not higher than the decrement threshold, the suspicious tracking reason for the abnormal feedback of the single tracking item is that the tracking information or the transmission status is abnormal;

[0076] If z1 is higher than z2 and the modulus of the amount obtained by subtracting them is higher than the decrement threshold, the suspicious tracking reason for delivering a single tracking item abnormal feedback is that the tracking information is abnormal;

[0077] If z1 is lower than z2 and the modulus of the amount obtained by subtraction is higher than the decrement threshold, the suspected tracking reason for the abnormal feedback of the transmission single tracking item is that the transmission status is abnormal;

[0078] Step 3-4, if the tracking entry corresponding to the feedback tracking conclusion is a secondary tracking entry or a tertiary tracking entry, go to Step 3-2 to calculate the singular parameters of the corresponding values ​​of each tracking information in the tracking entry, the critical value of the singular parameters, the singular parameters corresponding to the transmission status and the average of the singular parameters at the time point, and analyze the suspicious tracking reasons for the abnormal feedback of the secondary tracking entry or the tertiary tracking entry.

[0079] The reason for analyzing the secondary tracking items, tertiary tracking items, and individual tracking items separately is that the first two tracking items contain some tracking information, and the effects of abnormal changes in tracking items must be fully analyzed.

[0080] In a preferred but non-limiting embodiment of the present invention, Step 3-4 specifically includes:

[0081] Step 3-4-1, calculate the corresponding tracking information attribute decrement z1 and the transfer status attribute decrement z2 of each tracking information in the secondary tracking entry or the tertiary tracking entry, using the equation: n={n1,n2}; z0 is the average of the corresponding tracking attribute reductions of all tracking information;

[0082] Calculate the separation parameter W of the secondary tracking entry or the tertiary tracking entry based on the entire tracking information. The higher the separation parameter, the higher the deviation amplitude of the attribute decrement of the tracking information registered in the same tracking entry. When calculating the separation parameter of the secondary tracking entry based on the entire tracking information, n=n1. When calculating the separation parameter of the tertiary tracking entry based on the entire tracking information, n=n2.

[0083] Step 3-4-2, set the separation parameter critical value W0, when W is not less than W0, the suspicious tracking reason for sending abnormal feedback of the secondary tracking entry or the tertiary tracking entry is the abnormal transmission status; since the value separation amplitude is not small, it means that the difference in the ratio of the reading value of each tracking information in the same tracking entry is not small when the value is not registered at the same feedback time point, so it can be confirmed that the tracking is not achieved due to the non-tracking information itself; when W is less than W0, calculate the average reduction of the tracking information attribute z0 and the average reduction of the transmission status attribute z20 corresponding to all the tracking information in the secondary tracking entry or the tertiary tracking entry, z0 = (∑z1) / n1, z20 = (∑z2) / n2;

[0084] Since the tracking transmission is a whole transmission without the defect of independent tracking information transmission anomaly, when parsing a tracking entry containing multiple tracking information, the initial confirmation can be performed based on the value itself, which greatly saves the parsing time and improves the parsing efficiency of anomaly confirmation.

[0085] Step 3-4-3, according to the average reduction of the tracking information attribute z0 and the average reduction of the transmission status attribute z20, go to Step 3-3 to determine the suspicious tracking reason.

[0086] like Figure 2 As shown, the device for mobile real-scene recognition of Chinese calligraphy culture described in the present invention includes:

[0087] A construction module, which is used to group the tracking information in the information table formed by the tracking software according to the difference in tracking speed; and to construct tracking entries for each tracking purpose according to the grouped tracking information;

[0088] A confirmation module, which is used to confirm the actual tracking time interval of the corresponding tracking items of each tracking purpose;

[0089] The detection module is used to detect the tracking conclusions of each tracking target at the corresponding actual tracking interval. If the tracking conclusion has abnormal feedback, the reading transmission information registered by the suspicious component set in the tracking software is extracted to confirm the suspicious tracking reason of the abnormal feedback;

[0090] The transmission module is used to transmit corresponding feedback messages to the tracking software for execution prompts according to the suspicious tracking reasons.

[0091] The beneficial effects of the present invention are that, compared with the prior art, the present invention improves the credibility of tracking information account confirmation by combining the questioning component and the tracking software, thereby ensuring the stability of the calligraphy works during the transmission period; it also groups the tracking information, and analyzes and confirms the suspicious reasons for defects under tracking anomalies through the past tracking tasks of the corresponding information items of each group of tracking information, thereby providing a solution idea for collaborative workers to handle anomaly tasks; and improves the efficiency of processing, and improves the complex operation of retrieving anomalies after the calligraphy works are transmitted.

[0092] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not deviate from the spirit and scope of the present invention should be included in the protection scope of the claims of the present invention.

Claims

1. A method for mobile real-scene recognition of Chinese calligraphy culture, characterized in that: include: Open the digital calligraphy teaching system through the interactive digital copying table to learn calligraphy knowledge, take photos of calligraphy works through the calligraphy demonstration device and upload them to the calligraphy software system, and wait for comments from the online calligraphy teacher; The calligraphy demonstration device transfers the calligraphy works to the calligraphy software system, and also includes: Step 1, grouping the tracking information in the information table formed by the tracking software according to the difference in tracking speed; and constructing the tracking entries of each tracking purpose according to the grouped tracking information; Step 2, confirm the actual tracking time interval of the corresponding tracking items for each tracking purpose; Step 3, detect the tracking conclusions of each tracking target at the corresponding actual tracking time interval. If the tracking conclusion has abnormal feedback, extract the read transmission information registered by the suspicious component set in the tracking software to confirm the suspicious tracking reason of the abnormal feedback; Step 4: Based on the suspicious tracking reason, send the corresponding feedback message to the tracking software for execution prompt.

2. The method for mobile real-scene recognition of Chinese calligraphy culture according to claim 1 is characterized in that: Step 1 specifically includes: Step 1-1, define the tracking information of the constant tracking speed pre-set in the information table as available tracking information, extract the tracking speed S registered by all available tracking information, and the highest tracking speed S related to the available tracking information in the information table zg With minimum tracking speed S zd , calculate the corresponding tracking factor s of the information table; Step 1-2, arrange the available tracking information in order from low to high according to the corresponding tracking speed values, and cut it into several groups using the tracking factor s as a unit starting from the first available tracking information until all the available tracking information are grouped.

3. The method for mobile real-scene recognition of Chinese calligraphy culture according to claim 2 is characterized in that: In Step 1-1, Here P represents the total number of categories of available tracking information corresponding to different tracking speeds.

4. The method for mobile real-scene recognition of Chinese calligraphy culture according to claim 3 is characterized in that: In Step 1, the tracking purpose is the tracking entity registered in the tracking document formed by the tracking software, and each tracking purpose forms a corresponding tracking message formed by the tracking information.

5. The method for mobile real-scene recognition of Chinese calligraphy culture according to claim 4 is characterized in that: In Step 1, the tracking message includes a set of tracking information and several sets of tracking information; according to the tracking purpose and the tracking message, a tracking entry of the tracking message registered corresponding to each tracking purpose is constructed. When the tracking message registered in the tracking entry contains several sets of tracking information, each set of tracking information is arranged in the order of previous registration.

6. The method for mobile real-scene recognition of Chinese calligraphy culture according to claim 5 is characterized in that: Step 2 specifically includes: When there is only one available tracking information in the tracking entry, the tracking entry is defined as a single tracking entry; the tracking time interval corresponding to the available tracking information is selected as the actual tracking time interval of the single tracking entry; when the tracking entry contains n1 available tracking information and the n1 available tracking information belong to a group of available tracking information, the tracking entry is defined as a secondary tracking entry, and the average of the tracking time intervals registered by the available tracking information of the corresponding group is calculated as the actual tracking time interval of the corresponding secondary tracking entry.

7. The method for mobile real-scene recognition of Chinese calligraphy culture according to claim 6 is characterized in that: Step 2 specifically includes: If there are n2 available tracking information in the tracking entry and the n2 available tracking information do not belong to one group of available tracking information, the tracking entry is defined as a three-level tracking entry, and the minimum tracking time interval registered in each group of available tracking information is selected as the actual tracking time interval of the corresponding three-level tracking entry.

8. The method for mobile real-scene recognition of Chinese calligraphy culture according to claim 7 is characterized in that: Step 3 specifically includes: Step 3-1, the feedback anomaly is the situation that each process does not retrieve the tracking conclusion when performing search and reading on the tracking target; the questionable component is the permission software that performs account confirmation and read permission on all processes according to the agreed communication rules; the read transmission information is the read confirmation message registered during the tracking execution of the process registration tracking software; the read confirmation message contains the permission rights and read value of the reading process; Step 3-2, if the tracking entry corresponding to the feedback tracking conclusion is a single tracking entry, extract the single tracking entry corresponding to the tracking purpose and register the read value of the right of another process that can be read at the feedback abnormal time point. The read value includes read achieved, read not fully achieved and read not fully achieved; use the equation: Calculate the singular parameter Z1 of the tracking information corresponding to the single tracking entry; here R0 represents the total number of tracking tasks when the process with the same read right reads the tracking entry to register several sets of tracking information, and R1 represents the number of reading tasks when the reading value of the tracking entry registered by the process with the same read right is not fully achieved, and the corresponding tracking information that is not fully achieved is the same as the tracking information registered by the single tracking entry; Get the total number of tracking tasks of all processes with read rights at the feedback point of a single tracking entry R2, and the number of tasks whose read value is completely unreachable R3, calculate the singular parameter Z2 of the corresponding transmission status of the single tracking entry, And calculate the mean of singular parameters Z0 at the time point registered by the tracking software, Set the singular parameter critical value Z3 of the corresponding tracking information of a single tracking entry, Calculate the tracking information attribute decrement z1 and the transmission status attribute decrement z2 respectively, z1 = Z1-Z3, z2 = Z2-Z0; Step 3-3, if the modulus of the amount obtained by subtracting z1 from z2 is not higher than the decrement threshold, the suspicious tracking reason for the abnormal feedback of the single tracking item is that the tracking information or the transmission status is abnormal; If z1 is higher than z2 and the modulus of the amount obtained by subtracting them is higher than the decrement threshold, the suspicious tracking reason for delivering a single tracking item abnormal feedback is that the tracking information is abnormal; If z1 is lower than z2 and the modulus of the amount obtained by subtraction is higher than the decrement threshold, the suspected tracking reason for the abnormal feedback of the transmission single tracking item is that the transmission status is abnormal; Step 3-4, if the tracking entry corresponding to the feedback tracking conclusion is a secondary tracking entry or a tertiary tracking entry, go to Step 3-2 to calculate the singular parameters of the corresponding values ​​of each tracking information in the tracking entry, the critical value of the singular parameters, the singular parameters corresponding to the transmission status and the average of the singular parameters at the time point, and analyze the suspicious tracking reasons for the abnormal feedback of the secondary tracking entry or the tertiary tracking entry.

9. The method for mobile real-scene recognition of Chinese calligraphy culture according to claim 8, characterized in that: Step 3-4 specifically includes: Step 3-4-1, calculate the corresponding tracking information attribute decrement z1 and the transfer status attribute decrement z2 of each tracking information in the secondary tracking entry or the tertiary tracking entry, using the equation: n={n1,n2}; z0 is the average of the corresponding tracking attribute reductions of all tracking information; Calculate the separation parameter W of the secondary tracking entry or the tertiary tracking entry based on the entire tracking information. The higher the separation parameter, the higher the deviation amplitude of the attribute decrement of the tracking information registered in the same tracking entry. When calculating the separation parameter of the secondary tracking entry based on the entire tracking information, n=n1. When calculating the separation parameter of the tertiary tracking entry based on the entire tracking information, n=n2. Step 3-4-2, set the separation parameter critical value W0, when W is not less than W0, the suspicious tracking reason for sending abnormal feedback of the secondary tracking entry or the tertiary tracking entry is abnormal transmission status; when W is less than W0, calculate the corresponding tracking information attribute reduction mean z0 and the transmission status attribute reduction mean z20 of all tracking information in the secondary tracking entry or the tertiary tracking entry, z0 = (∑z1) / n1, z20 = (∑z2) / n2; Step 3-4-3, according to the average reduction of the tracking information attribute z0 and the average reduction of the transmission status attribute z20, go to Step 3-3 to determine the suspicious tracking reason.

10. A device for mobile real-scene recognition of Chinese calligraphy culture, characterized in that: include: A construction module, which is used to group the tracking information in the information table formed by the tracking software according to the difference in tracking speed; and to construct tracking entries for each tracking purpose according to the grouped tracking information; A confirmation module, which is used to confirm the actual tracking time interval of the corresponding tracking items of each tracking purpose; The detection module is used to detect the tracking conclusions of each tracking target at the corresponding actual tracking interval. If the tracking conclusion has abnormal feedback, the reading transmission information registered by the suspicious component set in the tracking software is extracted to confirm the suspicious tracking reason of the abnormal feedback; The transmission module is used to transmit corresponding feedback messages to the tracking software for execution prompts according to the suspicious tracking reasons.

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