An electronic interaction data management system and method based on a touch all-in-one machine

Abstract

The present invention discloses an electronic interaction data management system and method based on a touch all-in-one machine. The management method includes the following steps: collecting various parameters of the data transmission state between the touch all-in-one machine and the projection device, after normalizing the collected multiple parameters, establishing a transmission evaluation coefficient using a formula, and comparing it with an abnormal threshold; judging whether to issue a warning signal according to the comparison result, analyzing multi-source data of the surrounding environment where abnormal data appears during the data interaction process of the touch all-in-one machine, comprehensively analyzing the multi-source data to generate a regional evaluation coefficient, comparing the regional evaluation coefficient with an interference threshold, performing visual processing on the interference data, establishing a similarity coefficient of the interference data using a visual chart, comparing the similarity coefficient with a similarity threshold, and making corresponding treatments respectively according to the comparison results.

Description

[0001] The present invention relates to the technical field of interactive data management, and particularly relates to an electronic interactive data management system and method based on a touch all-in-one machine. Background Art

[0002] Touch all-in-one machines are usually equipped with a large high-resolution liquid crystal display, providing clear image and video presentation. This integrated design saves desktop space, making it a compact solution. The screen of the touch all-in-one machine is equipped with touch screen technology, allowing users to directly interact with the screen using their fingers or a stylus. Touch technology usually enables multi-touch, allowing users to use gestures to perform various operations. These computers usually integrate a computer host, a display, speakers, and other components into a single body, simplifying the hardware layout and reducing cable clutter.

[0003] Electronic interactive data generally refers to the data generated during the interaction process between electronic devices and computer systems. This data can include various information, covering multiple fields, including communication, computer science, the Internet, e-commerce, and social media, etc. For example, communication data: including data generated by communication methods such as emails, text messages, chat records, and call records; network data: this includes data traffic on the Internet, web access records, IP addresses, and network activity logs, etc.; social media data: user-generated data on social media platforms, including posts, comments, likes, shares, followers, etc.

[0004] The prior art has the following deficiencies:

[0005] In some multimedia classrooms, educational institutions are equipped with a set of multimedia teaching devices including a computer, a projector, an audio system, and a display screen, aiming to provide teachers with rich multimedia resources, such as images, videos, audio, and interactive simulations, to enhance their teaching effects. However, when using a touch all-in-one machine for data interaction, teachers may face a series of technical and environmental problems, which may cause the screen of the touch all-in-one machine to freeze, go white, or pop up abnormal windows. These abnormal situations are often projected onto the display screen by the projector, thus not only having a negative impact on the teaching task but also possibly distracting students' attention and damaging the teaching effect. Summary of the Invention

[0006] The purpose of the present invention is to provide an electronic interactive data management system and method based on a touch all-in-one machine to solve the deficiencies in the background art.

[0007] To achieve the above purpose, the present invention provides the following technical solution: An electronic interactive data management method based on a touch all-in-one machine, the management method includes the following steps:

[0008] S1: Collect various parameters of the data transmission status between the touch all-in-one machine and the projection device, establish a transmission evaluation coefficient through a formula, compare the transmission evaluation coefficient with the abnormal threshold, and determine whether to generate a warning signal according to the comparison result;

[0009] S2: Analyze the multi-source data of the surrounding environment of the abnormal data that appears during the data interaction of the touch all-in-one machine, comprehensively analyze the multi-source data to generate a regional evaluation coefficient, compare the regional evaluation coefficient with the interference threshold, and mark the areas with a relatively large degree of interference;

[0010] S3: Mark the areas with a relatively large degree of interference, obtain the interference data information, visually process the interference data, establish a similarity coefficient of the data using a visual chart, compare the similarity coefficient with the similarity threshold, and make corresponding treatments respectively according to the comparison result.

[0011] In a preferred embodiment, in S1, collect various parameters of the data transmission status between the touch all-in-one machine and the projection device. The multiple data collected include the screen touch ability, the working efficiency of the hard disk drive, and the CRC error rate. Establish a transmission evaluation coefficient through a formula, and the transmission evaluation coefficient is used to identify the abnormal data in the data transmission process.

[0012] In a preferred embodiment, the working efficiency of the hard disk drive = (data transmission speed × cache size) / (response time × workload capacity); the acquisition logic of the screen touch ability is: calculate the friction force between the user's finger and the screen, and the friction force = friction coefficient × pressure perpendicular to the screen surface. The acquisition logic of the CRC error rate is: it represents the proportion of packet errors detected by the receiving end during the data transmission process; compare the transmission evaluation coefficient of the data with the abnormal threshold;

[0013] If the transmission evaluation coefficient of the data > the abnormal threshold, a warning signal is generated at this time;

[0014] If the transmission evaluation coefficient of the data ≤ the abnormal threshold, no warning signal is generated at this time.

[0015] In a preferred embodiment, in S2, analyze the multi-source data of the surrounding environment of the abnormal data that appears during the data interaction of the touch all-in-one machine. The multiple data collected include the network quality index and the proportion of devices in the same frequency band. Comprehensively analyze the multi-source data to generate a regional evaluation coefficient, and the regional evaluation coefficient is used to mark the abnormal areas.

[0016] In a preferred embodiment, the proportion of devices in the same frequency band = (the number of devices in the target frequency band / the total number of devices), and the proportion of devices in the same frequency band is the relative proportion of touch all-in-one machines in the same frequency band within the target frequency band;

[0017] Compare the regional evaluation coefficient with the interference threshold. If the regional evaluation coefficient is greater than the interference threshold, mark the region; if the regional evaluation coefficient is less than or equal to the interference threshold, do not mark the region.

[0018] In a preferred embodiment, in S3, mark the regions with a greater degree of interference, obtain interference data information, perform visualization processing on the interference data, establish a similarity coefficient of the data using a visualization chart, and compare the similarity coefficient of the interference data with the similarity threshold; if the similarity coefficient is greater than the similarity threshold, it is the same type of interference data; if the similarity coefficient is less than or equal to the similarity threshold, it is classified as other interference data.

[0019] The present invention also provides an electronic interaction data management system based on a touch all-in-one machine, including a collection module, a comparison module, an analysis module, an early warning module, and a processing module;

[0020] Collection module: Collect various parameters of the data transmission status between the touch all-in-one machine and the projection device. The data includes the screen touch ability, the working efficiency of the hard disk drive, and the CRC error rate;

[0021] Processing module: After performing data normalization processing on the collected multiple parameters, establish a transmission evaluation coefficient using a formula and compare it with the abnormal threshold;

[0022] Early warning module: Judge whether to issue an early warning signal based on the comparison result;

[0023] Analysis module: Analyze the multi-source data of the surrounding environment of the abnormal data during the data interaction process of the touch all-in-one machine, comprehensively analyze the multi-source data to generate a regional evaluation coefficient, and compare the regional evaluation coefficient with the interference threshold;

[0024] Comparison module: Perform visualization processing on the interference data, establish a similarity coefficient of the interference data using a visualization chart, compare the similarity coefficient with the similarity threshold, and make corresponding treatments according to the type of interference data.

[0025] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0026] 1. The present invention collects various parameters of the data transmission status between the touch all-in-one machine and the projection device, establishes a transmission evaluation coefficient using a formula, compares the transmission evaluation coefficient with the abnormal threshold, judges whether to generate an early warning signal based on the comparison result, identifies the abnormal data during the data transmission process, and issues an early warning for it to prevent sending abnormal data to the display screen.

[0027] 2. The present invention analyzes multi-source data of the surrounding environment where abnormal data appears during the data interaction process of a touch all-in-one machine, comprehensively analyzes the multi-source data to generate a regional evaluation coefficient, compares the regional evaluation coefficient with an interference threshold, marks the areas with a greater degree of interference, obtains interference data information, visualizes the interference data, establishes a similarity coefficient of the data using a visualization chart, compares the similarity coefficient with a similarity threshold, and makes corresponding processing based on the comparison results. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings.

[0029] Figure 1 It is a flowchart of the method of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0030] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of the present invention.

[0031] Embodiment 1

[0032] Please refer to Figure 1 As shown, a method for managing electronic interaction data based on a touch all-in-one machine in this embodiment includes the following steps:

[0033] After all teaching devices are normally turned on, the acquisition end acquires various parameters of the data transmission state between the touch all-in-one machine and the projection device. After the parameters are processed by a formula, a transmission evaluation coefficient is established, and the transmission evaluation coefficient is compared with an abnormal threshold. The management system makes corresponding processing based on the comparison result.

[0034] The state parameters affecting the normal data transmission of the device include the hardware state quality, the touch screen perception information, and the operating system state information;

[0035] The acquisition terminal collects various parameters of the touch all-in-one machine to achieve different forms of information acquisition, storage, calculation, or interaction; displays different data information in the all-in-one machine through the display terminal; stores different data information that affects the device status of the touch all-in-one machine to achieve the preservation of all-in-one machine information; and selects communication protocols for different data information through the touch switch to achieve multi-data type communication.

[0036] When using a touch all-in-one machine, it may be necessary to upload and download data, such as educational resources, courseware, or student assignments. A poor network connection may slow down the data transfer speed, affecting the teaching efficiency of teachers. At the same time, a poor network status may increase network security risks. For example, it is vulnerable to malicious attacks or unauthorized access.

[0037] The importance of the touch all-in-one machine in teaching tasks lies in providing classroom interactivity, multimedia support, personalized learning, and collaboration tools, which can improve teaching quality, increase student participation, and help teachers better impart knowledge and concepts. It has become an indispensable tool in modern education.

[0038] In terms of the perception of the touch screen, it usually involves that when teachers write with chalk, chalk dust may stick to their hands or fall on the screen, reducing the accuracy of touch when teachers touch the screen, which may lead to accidental touches or the inability to precisely draw or select content; at the same time, sweating of the fingers may occur, and wet fingers may cause the response speed of the touch screen to slow down, and users need more time to complete operations, which may interfere with the normal teaching process.

[0039] The operating system status is crucial for the normal operation and data transfer of the device. The operating system is the bridge between computer hardware and software. It coordinates and manages various parts of the computer, including the file system, memory management, drivers, and user interface. Operating system problems may cause data transfer interruptions or errors;

[0040] Operating system errors: The operating system may encounter errors, which may cause the system to be unstable or unable to work properly. For example, file system errors, DLL file corruption, or the loss of operating system files may lead to data transfer problems;

[0041] Operating system crashes: The crash of the operating system may cause the computer to suddenly shut down or restart, which will interrupt the ongoing data transfer and may lead to data corruption;

[0042] Driver problems: The operating system usually communicates with hardware through drivers. Incorrect or outdated hardware drivers may cause communication problems between devices, thus affecting data transfer;

[0043] Memory management issues: The operating system is responsible for managing the computer's memory to ensure isolation and resource allocation between different applications. Memory leaks or poor memory management can lead to data transfer interruptions or a decline in system performance.

[0044] The touch screen sensing information includes the screen's ability to recognize the user's finger during use, that is, calculating the touch ability of the user's finger on the screen; the hardware status quality is the working efficiency of the hard disk drive when the user is using the touch all-in-one machine; the operating system status information includes the CRC error rate.

[0045] In summary, the multiple data collected includes the screen touch ability, the working efficiency of the hard disk drive, and the CRC error rate. After normalizing the collected multiple parameters, a transmission evaluation coefficient is established using a formula, and the calculation expression is: In the formula, csx is the transmission evaluation coefficient of the data, dyk is the screen touch ability, swh is the working efficiency of the hard disk drive, mfp is the CRC error rate, a 1 、a 2 、a 3 are the proportionality coefficients of the screen touch ability, the working efficiency of the hard disk drive, and the CRC error rate, and a 2 > a 3 > a 1 > 0.

[0046] The acquisition logic of the screen touch ability is as follows: When calculating the user's finger operating on the screen, calculate the friction force between the finger and the screen. The friction force = friction coefficient × pressure perpendicular to the screen surface, usually in units of Newton (N). The friction coefficient is the friction coefficient between the finger and the touch screen, and the value of the friction coefficient can be estimated according to specific circumstances, usually between 0.1 and 0.6, depending on the materials and surface treatments of the finger and the screen. The pressure (N) perpendicular to the screen surface is the force exerted by the user's finger on the touch screen. Pressure sensors are usually installed under or around the touch screen, and these pressure sensors can directly measure the force exerted by the user on the screen.

[0047] Compare the calculated friction force value with the gradient friction force threshold, which includes the maximum friction force threshold and the minimum friction force threshold. When the user's finger is covered with dust, the friction force between the user's finger and the screen is small, and the screen is prone to being overly sensitive during touching, and the screen recognition ability is strong. Compare it with the minimum friction force threshold; when the user's finger is in a sweating state, the friction force between the finger and the screen is large, and the screen is prone to being less sensitive during touching, and the screen recognition ability is poor. Compare it with the maximum friction force threshold. Calculate the absolute value of the difference between the real-time obtained friction force value and the corresponding friction force threshold, which is the screen touch ability.

[0048] The greater the difference between the friction value and the corresponding friction threshold, the worse the user's touch ability on the screen. The worse the touch ability, the more inconvenient the user may feel in operation. Misoperations on the touch screen may occur more frequently, and the user may accidentally trigger unwanted operations, which may lead to inconvenience and errors. Due to inaccurate touches or misoperations, the user may need more time to complete tasks, which may reduce work efficiency. For some tasks that require precise control, such as drawing, design, or precise selection, users with poor touch ability may find the touch screen less suitable;

[0049] The acquisition logic of the hard disk drive working efficiency is as follows: The hard disk drive stores data by using rotating magnetic disks (usually multiple disks stacked together). There are read or write heads on these disks that can read or write data at different positions on the disks. The data is stored magnetically on the disks and can be accessed when needed. The hard disk drive working efficiency = (data transfer speed × cache size) / (response time × workload capacity);

[0050] Data transfer speed: Hard disk drives with higher data transfer speeds usually have higher working efficiencies. Cache size: A larger cache can improve data access efficiency, thus having a positive impact on working efficiency. Response time: A fast response time helps improve working efficiency, thus having a positive impact on working efficiency. Workload capacity: A high workload capacity means that the hard disk drive can handle multitasks more effectively, having a positive impact on working efficiency;

[0051] An efficient hard disk drive can read and write data faster, reduce the time for file opening, copying, and loading, and improve the response speed of the entire system; For tasks that need to process large multimedia files (such as high-definition videos, audio files, and images), an efficient hard disk drive can better support smooth media playback and editing.

[0052] The acquisition logic of the CRC error rate is as follows: The CRC error rate is an indicator to measure errors in data transmission. It represents the proportion of packet errors detected at the receiving end during the data transmission process. A lower CRC error rate usually indicates higher data transmission correctness;

[0053] The calculation of the CRC error rate usually involves calculating and comparing the content of the data packet with the check code. If the receiving end detects that the CRC check of the data packet does not match, it will consider that there is an error in the data packet;

[0054] A lower CRC error rate usually indicates higher data transmission correctness because a lower error rate means that fewer data packets are affected by damage or errors. In data transmission, maintaining a low CRC error rate is beneficial to ensuring data integrity and correctness.

[0055] Compare the data transmission evaluation coefficient csx with the anomaly threshold mkt; if the data transmission evaluation coefficient csx > the anomaly threshold mkt, it indicates that the data transmitted by the touch all-in-one machine may be abnormal data. At this time, a warning signal is generated, and the projector can automatically pause the current projection operation to prevent incorrect or abnormal data from being displayed on the screen. At the same time, a notification is sent to the system administrator for further processing and maintenance;

[0056] If the data transmission evaluation coefficient csx ≤ the anomaly threshold mkt, it indicates that the data transmission between devices is in a normal condition, and no warning signal is generated at this time.

[0057] Embodiment 2

[0058] In the above Embodiment 1, various parameters of the data transmission status between the touch all-in-one machine and the projection device are collected. After the parameters are processed by a formula, a transmission evaluation coefficient is established, and the transmission evaluation coefficient is compared with the anomaly threshold to identify abnormal conditions during data transmission and take corresponding measures;

[0059] Considering that there are multiple classrooms in the teaching building, when adjacent or nearby classrooms are in the device-on state at the same time, the devices may interfere with each other, affecting normal teaching; at the same time, the number of networked devices in each classroom may also be different, so the network environment conditions will also be different. Compared with a relatively good network state, the accuracy and integrity during data transmission are relatively high, and vice versa.

[0060] Count the total number of classrooms using touch all-in-one machines in the teaching area as M, and record the total number of classrooms with abnormal teaching equipment in the area as m. Calculate the proportion of abnormal classrooms in the teaching area by m / M, denoted as the anomaly proportion. Compare the anomaly proportion with the standard proportion to determine whether there is a large-scale anomaly in the touch all-in-one machines in the classrooms in the teaching area during data interaction;

[0061] If the anomaly proportion is greater than the standard proportion, it indicates that the number of abnormal classrooms in the teaching area is greater than the standard value, that is, there may be interference factors in the area that affect the normal data interaction of the touch all-in-one machine, such as environmental factors such as network signal status and device mutual interference;

[0062] If the anomaly proportion is less than or equal to the standard proportion, it indicates that the number of anomalies in the area is within the standard range;

[0063] In summary, collect multi-source data of the surrounding environment that may cause data interaction of the touch all-in-one machine, comprehensively analyze the multi-source data to generate a regional evaluation coefficient, and analyze whether there will be abnormal conditions during the data interaction of the touch all-in-one machine based on the regional evaluation coefficient;

[0064] In summary, the multiple data collected include the network quality index and the proportion of devices in the same frequency band. After normalizing the collected multiple parameters, a regional evaluation coefficient is established using a formula, and the calculation expression is: In the formula, gqh is the regional evaluation coefficient, teg is the network quality index, lpk is the proportion of devices in the same frequency band, and β 1 , β 2 are the proportionality coefficients of the network quality index and the proportion of devices in the same frequency band, and β 1 > β 2 > 0.

[0065] The acquisition logic of the network quality index is as follows: Measure the relative signal strength between devices, obtain the received signal strength indication (RSSI) or similar signal strength indicators through wireless devices. The network signal quality can be obtained by calculating the absolute value of the signal strength. A stronger signal strength usually results in lower interference and higher network signal quality; while a weaker signal strength may lead to more interference and lower network signal quality.

[0066] The acquisition logic of the proportion of devices in the same frequency band is as follows: Determine the frequency band range to be analyzed, usually a specific frequency range. For example, in most cases, the Wi-Fi communication operations of touch all-in-ones are carried out on two main frequency bands of 2.4 GHz and 5 GHz. Use a professional wireless network analysis instrument to scan the devices within the target frequency band, classify the scanned devices, and determine whether they are within the target frequency band. For example, classify the devices based on information such as signal strength, MAC address, and device type. Calculate the proportion of devices in the same frequency band according to the number of devices within the target frequency band and the total number of devices. The calculation expression for the proportion of devices in the same frequency band is: Proportion of devices in the same frequency band = (Number of devices within the target frequency band / Total number of devices) * 100%. The proportion of devices in the same frequency band represents the relative proportion of touch all-in-ones in the same frequency band within the target frequency band.

[0067] Low proportion of devices in the same frequency band: If the proportion of devices in the same frequency band is relatively low, then the interference in the same frequency band may be less, which is beneficial to network performance.

[0068] High proportion of devices in the same frequency band: If the proportion of devices in the same frequency band is relatively high, it may increase the risk of interference in the same frequency band. Therefore, measures need to be taken to reduce interference, such as channel management or device location optimization.

[0069] Compare the regional evaluation coefficient gqh with the interference threshold wrt. If the regional evaluation coefficient gqh is greater than the interference threshold wrt, it indicates that the environmental factors in this area have a greater degree of interference on the data interaction of the touch all-in-one, and mark the area; if the regional evaluation coefficient gqh is less than or equal to the interference threshold wrt, it indicates that the environmental factors in this area have a lower degree of interference on the data interaction of the touch all-in-one, and do not mark it.

[0070] For a marked touch all-in-one machine, obtain interference data information, which includes information such as the time, location, frequency, interference type, signal strength, and number of devices where the interference occurs; use data visualization tools, such as charts, graphs, and heat maps, to visualize the data, and quickly identify any patterns or trends in the data based on the visualized charts;

[0071] Time analysis: Analyze according to time to see if there are specific time periods or dates;

[0072] Location analysis: Consider whether the interference is specific to a certain location or classroom;

[0073] Frequency analysis: Determine whether the interference is related to a specific frequency band or frequency range. Different devices use different frequency bands, so frequency analysis can reveal whether there are frequency conflicts;

[0074] Number of devices analysis: Analyze the relationship between the number of devices and the interference. A larger number of devices may cause more interference;

[0075] Comprehensive analysis: Conduct a comprehensive analysis of different factors to determine the main cause of the interference. Convert the image data into feature vectors suitable for machine learning algorithms. For interference data, this is equivalent to representing features such as time, location, and frequency in the chart as different dimensions of the feature vector;

[0076] Perform standard normalization processing on the interference data for each dimension;

[0077] Select the data points in the unmarked area as reference points, and compare the data points in the area to be marked with this reference point;

[0078] For each acquisition point to be compared, use cosine similarity to measure its correlation with the reference point. The calculation expression is: In the formula, YC(Zi,Yi) is the similarity coefficient between the reference point Z and the acquisition point Y, Zi and Yi are the values of the reference point Z and the acquisition point Y on the i-th feature dimension respectively, and N is the total number of feature dimensions;

[0079] Compare the similarity coefficient YC(Zi,Yi) of the interference data with the similarity threshold xsm; if the similarity coefficient YC(Zi,Yi) > similarity threshold xsm, it means that the similarity between the interference data in the chart is relatively high, and classify the interference data with relatively high similarity as the same type of interference data; if the similarity coefficient YC(Zi,Yi) ≤ similarity threshold xsm, it means that the similarity between the interference data in the chart is relatively low, and classify the interference data with relatively low similarity as other interference data; the staff make corresponding treatments according to the type of interference data.

[0080] Example 3

[0081] An electronic interaction data management system based on a touch all-in-one machine in this embodiment includes an acquisition module, a comparison module, an analysis module, an early warning module, and a processing module;

[0082] Among them,

[0083] Acquisition module: Collect various parameters of the data transmission status between the touch all-in-one machine and the projection device. The data includes screen touch capabilities, the working efficiency of the hard disk drive, and the CRC error rate;

[0084] Processing module: After normalizing the collected multiple parameters through data normalization, establish a transmission evaluation coefficient using a formula and compare it with the abnormal threshold;

[0085] Early warning module: Judge whether to issue an early warning signal based on the comparison result;

[0086] Analysis module: Analyze multi-source data of the surrounding environment of abnormal data during the data interaction process of the touch all-in-one machine, comprehensively analyze the multi-source data to generate a regional evaluation coefficient, and compare the regional evaluation coefficient with the interference threshold;

[0087] Comparison module: Perform visual processing on the interference data, establish a similarity coefficient of the interference data using a visual chart, compare the similarity coefficient with the similarity threshold, and make corresponding processing according to the type of interference data.

[0088] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center in a wired or wireless (such as infrared, wireless, microwave, etc.) manner. The computer-readable storage medium can be any available medium that the computer can access or a data storage device such as a server or data center that includes one or more collections of available media. The available medium can be a magnetic medium (such as a floppy disk, hard disk, magnetic tape), an optical medium (such as a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0089] It should be understood that in various embodiments of the present application, the magnitudes of the serial numbers of the above processes do not imply the order of execution, and the order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0090] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0091] Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments, and will not be elaborated herein.

[0092] In several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces, and the indirect couplings or communication connections of the devices or units can be in an electrical, mechanical, or other form.

[0093] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0094] In addition, the functional units in each embodiment of the present application can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit.

[0095] When the above-mentioned function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art or a part of this technical solution can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs.

[0096] As described above, the above are only specific implementation manners of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed by this application can easily think of changes or substitutions, which should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

1. An electronic interactive data management method based on a touch all-in-one machine, characterized in that: The management method comprises the following steps: S1: Collect various parameters of the data transmission status between the touch all-in-one machine and the projection device, establish a transmission evaluation coefficient through a formula, compare the transmission evaluation coefficient with the abnormal threshold, and determine whether to generate an early warning signal based on the comparison result; The step S1 specifically includes: collecting various parameters of the data transmission status between the touch integrated machine and the projection device, the collected multiple data including the screen touch capability, the working efficiency of the hard disk drive and the CRC error rate, and establishing a transmission evaluation coefficient through a formula, and the transmission evaluation coefficient is used to identify abnormal data in the data transmission process; Hard disk drive efficiency = (data transmission speed × cache size) / (response time × workload capacity); the logic for obtaining screen touch capability is: calculate the friction between the user's finger and the screen, friction = friction coefficient × pressure perpendicular to the screen surface, and the logic for obtaining CRC error rate is: it is expressed as the proportion of data packet errors detected by the receiving end during data transmission; compare the data transmission evaluation coefficient with the abnormal threshold; If the data transmission evaluation coefficient is greater than the abnormal threshold, a warning signal is generated; if the data transmission evaluation coefficient is less than or equal to the abnormal threshold, no warning signal is generated; S2: Analyze the multi-source data of the surrounding environment where abnormal data occurs during the data interaction of the touch integrated machine, perform comprehensive analysis on the multi-source data to generate a regional evaluation coefficient, compare the regional evaluation coefficient with the interference threshold, and mark the area with a greater degree of interference; The step S2 specifically includes: analyzing multi-source data of the surrounding environment where abnormal data appears during the data interaction of the touch integrated machine, the collected multiple data include network quality index and the proportion of devices in the same frequency band, and comprehensively analyzing the multi-source data to generate a regional evaluation coefficient, which is used to mark the abnormal area; The ratio of devices in the same frequency band = (number of devices in the target frequency band / total number of devices). The ratio of devices in the same frequency band is the relative ratio of touch-screen integrated machines in the same frequency band in the target frequency band. Compare the regional evaluation coefficient with the interference threshold. If the regional evaluation coefficient is greater than the interference threshold, mark the region; if the regional evaluation coefficient is less than or equal to the interference threshold, do not mark the region. S3: Mark the area with a large interference degree, obtain interference data information, visualize the interference data, use visualization charts to establish the similarity coefficient of the data, compare the similarity coefficient with the similarity value, and make corresponding processing according to the comparison results; The step S3 specifically includes: marking the area with a larger interference degree, obtaining interference data information, visualizing the interference data, establishing a similarity coefficient of the data using a visualization chart, and comparing the similarity coefficient of the interference data with a similarity threshold; if the similarity coefficient is greater than the similarity threshold, classifying it as the same type of interference data; if the similarity coefficient is less than or equal to the similarity threshold, classifying it as other interference data.

2. An electronic interactive data management system based on a touch-integrated machine, used to implement the management method described in claim 1, characterized in that: It includes acquisition module, comparison module, analysis module, warning module and processing module; Acquisition module: collects various parameters of the data transmission status between the touch all-in-one machine and the projection device, including the screen touch capability, the working efficiency of the hard disk drive and the CRC error rate; Processing module: After the collected parameters are processed by data normalization, the transmission evaluation coefficient is established using the formula and compared with the abnormal threshold; Early warning module: determines whether to issue an early warning signal based on the comparison results; Analysis module: Analyzes the multi-source data of the surrounding environment where abnormal data appears during the data interaction of the touch integrated machine, performs comprehensive analysis on the multi-source data to generate a regional evaluation coefficient, and compares the regional evaluation coefficient with the interference threshold; Comparison module: Visualize the interference data, use visualization charts to establish the similarity coefficient of the interference data, compare the similarity coefficient with the similarity threshold, and make corresponding processing according to the type of interference data.

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