Visualization system for data cleaning

Abstract

The invention relates to the technical field of data visualization, in particular to a data cleaning visualization system which comprises a visual operation platform, an information management unit, a visual interference unit, a visual state unit, a dynamic visual unit and a management response unit. According to the method, analysis is carried out from two points of visual interference and visual expression of the data display equipment, so that the visual effect of the data cleaning process is improved, meanwhile, the visual integrity and smoothness of data cleaning of the data display equipment are improved, and when the data display equipment is normal, picture quality optimization requirement evaluation analysis is carried out on the display quality data, so that the data cleaning efficiency is improved. The image quality condition of the data display equipment in the data cleaning period is known, so that reasonable optimization processing is facilitated, the data cleaning visual definition of the data display equipment is improved, risk management and control are carried out on the data display equipment in advance from the angle of prediction, targeted management is carried out according to the character feedback condition, and the data cleaning efficiency is improved. Therefore, the data cleaning visual stability is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data visualization, and in particular to a visualization system for data cleaning. Background Art

[0002] Since numerous information systems bring a huge amount of data, it is particularly important to process and mine these data, so as to effectively utilize the data and improve the intelligent and visual management of the factory. However, in the existing technology, it is impossible to conduct visual risk supervision on the data cleaning process of the data display equipment, thereby reducing the visual integrity and fluency of the data cleaning process, and it is impossible to reasonably optimize the picture quality of the data display equipment data cleaning, and it is impossible to predict and manage the picture quality trend of the data display equipment data cleaning, which is not conducive to the visual stability of the data display equipment;

[0003] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0004] The purpose of the present invention is to provide a visualization system for data cleaning to solve the technical defects mentioned above. The present invention analyzes the data display device from two points of view: visual interference and visual performance, so as to reasonably control the data display device to improve the visual effect of the data cleaning process, and at the same time improve the visual integrity and smoothness of data cleaning of the data display device. When the data display device is normal, the display quality data is evaluated and analyzed for picture quality optimization needs to understand the picture quality of the data display device during the data cleaning period, so as to reasonably perform optimization processing to improve the visual clarity of data cleaning of the data display device. In addition, the data display device is risk-controlled in advance from a predictive perspective, and the data display device is managed in a targeted manner according to text feedback to improve the visual stability of data cleaning of the data display device.

[0005] The object of the present invention can be achieved by the following technical solutions: a visualization system for data cleaning, comprising a visual operation platform, an information management unit, a visual interference unit, a visual state unit, a dynamic visual unit, and a management response unit;

[0006] The information management unit is used to collect visual interference data and display status data of the data display device, the visual interference data includes an overheating risk value, a rejection risk value, and a performance deviation value, and the display status data includes a visual missing value and a cleaning screen missing ratio, and send the visual interference data and the display status data to the visual interference unit and the visual status unit respectively;

[0007] After receiving the visual interference data, the visual interference unit immediately performs visual interference level assessment analysis on the visual interference data, and performs discriminant analysis on the obtained visual potential hazard coefficient KQ to obtain a safety hazard value AF;

[0008] After receiving the display status data and the safety hazard value AF, the visual status unit immediately performs a visual risk assessment analysis of the cleaning period on the display status data, sends the obtained stable signal to the dynamic visual unit, and sends the obtained alarm signal to the management response unit;

[0009] After receiving the stable signal, the dynamic visual unit immediately collects the display quality data of the data display device, the display quality data includes picture clarity and actual picture resolution, and performs picture quality optimization demand evaluation and analysis on the display quality data, and sends the obtained optimization signal and pipe adjustment signal to the management response unit.

[0010] Preferably, the visual interference level evaluation and analysis process of the visual interference unit is as follows:

[0011] Set a monitoring cycle and set it as a time threshold, obtain the data within the time threshold to show the overheating risk value of the equipment, the overheating risk value means that the data shows that the working temperature of the electrical components inside the equipment exceeds the preset working temperature threshold and the corresponding continuous time is longer than the preset threshold corresponding to the proportion of electrical components, and at the same time, obtain the proportion of unconventional components in the electrical components corresponding to the preset threshold corresponding to the working temperature of the electrical components exceeding the preset working temperature threshold and the corresponding continuous time is longer than the preset threshold, and set it as the exclusion risk value, the unconventional component means that the electrical component is a non-original component;

[0012] The data obtained within the time threshold displays the performance deviation value of the device. The performance deviation value means that the value corresponding to the working status data of the data display device exceeds the overlap duration corresponding to the preset threshold. The working status data includes the average abnormal sound and the average working voltage. The overheating hazard value, rejection risk value and performance deviation value are labeled GR, PC and BP respectively.

[0013] Preferably, the overheating risk value GR, the rejection risk value PC and the performance deviation value BP are calculated by the formula Obtain the visible potential hazard coefficient, where f1, f2 and f3 are respectively the preset proportional factor coefficients of the overheating hazard value, the rejection risk value and the performance deviation value, f4 is the preset correction factor coefficient, f1, f2, f3 and f4 are all greater than zero, KQ is the visible potential hazard coefficient, and the visible potential hazard coefficient KQ is compared and analyzed with the preset visible potential hazard coefficient range stored internally:

[0014] If the visible potential hidden danger coefficient KQ is greater than the maximum value in the preset visible potential hidden danger coefficient range, a third-level hidden danger signal is generated;

[0015] If the visible potential hidden danger coefficient KQ belongs to the preset visible potential hidden danger coefficient range, a secondary hidden danger signal is generated;

[0016] If the visible potential hazard coefficient KQ is less than the minimum value in the preset visible potential hazard coefficient range, a first-level hazard signal is generated, and the first-level hazard signal, the second-level hazard signal, and the third-level hazard signal are set as the safety hazard value AF, and the safety hazard value AF=1, 2, 3.

[0017] Preferably, the visual risk assessment and analysis process of the cleaning period of the visual status unit is as follows:

[0018] S1: Obtain the total number of data cleaning jams of the data display device within the time threshold, and then obtain the jam duration corresponding to each data cleaning jam number, and set the ratio between the number of jam durations greater than the preset jam duration threshold and the total number of data cleaning jams as the visible missing value KS;

[0019] S2: Obtain the total number of screen loss of the data display device within the time threshold, and then obtain the screen loss area corresponding to each screen loss number, establish a rectangular coordinate system with the screen loss number as the X-axis and the screen loss area as the Y-axis, draw a screen loss area curve by plotting points, obtain the ratio of the sum of the number of rising segments and the number of horizontal segments connected to the upper end of the rising segment from the screen loss area curve, and set it as the cleaning screen loss ratio QX;

[0020] S3: The cleaning visual risk coefficient KF is obtained according to the formula, and the cleaning visual risk coefficient KF is compared and analyzed with the preset cleaning visual risk coefficient threshold value stored in the internal input:

[0021] If the ratio between the cleaning visual risk factor KF and the preset cleaning visual risk factor threshold is less than 1, a stable signal is generated;

[0022] If the ratio between the cleaning visual risk factor KF and the preset cleaning visual risk factor threshold is greater than or equal to 1, an alarm signal is generated.

[0023] Preferably, the picture quality optimization demand evaluation and analysis process of the dynamic visual unit is as follows:

[0024] The time threshold is divided into i sub-time periods, where i is a natural number greater than zero, and the proportion of the duration corresponding to the picture clarity of the data display device being lower than the preset picture clarity threshold in each sub-time period is obtained, and at the same time, the proportion of the duration corresponding to the actual picture resolution of the data display device being lower than the rated resolution in each sub-time period is obtained, and the sum of the proportion of the duration corresponding to the picture clarity being lower than the preset picture clarity threshold and the proportion of the duration corresponding to the actual picture resolution being lower than the rated resolution is set as the visual clarity deviation value;

[0025] The visual clarity deviation value is compared and analyzed with the stored preset visual clarity deviation value threshold, and the sub-time period corresponding to the visual clarity deviation value greater than or equal to the preset visual clarity deviation value threshold is set as the non-clear time period, and the sub-time period corresponding to the visual clarity deviation value less than the preset visual clarity deviation value threshold is set as the clear time period, and then a fan diagram of the non-clear time period - the clear time period is drawn, and the ratio of the area corresponding to the non-clear time period to the area corresponding to the clear time period is obtained from the fan diagram of the non-clear time period - the clear time period, and it is set as the clarity optimization coefficient.

[0026] Preferably, the clarity optimization coefficient is compared and analyzed with a preset clarity optimization coefficient threshold value recorded and stored internally:

[0027] If the ratio between the clarity optimization coefficient and the preset clarity optimization coefficient threshold is less than 1, a feedback signal is generated; if the ratio between the clarity optimization coefficient and the preset clarity optimization coefficient threshold is greater than or equal to 1, an optimization signal is generated.

[0028] Preferably, when the dynamic visual unit generates a feedback signal:

[0029] Get the clarity optimization coefficients of the next m data display devices, where m is a natural number greater than zero. Use the number of clarity optimization coefficients as the X-axis and the clarity optimization coefficients as the Y-axis to establish a rectangular coordinate system. Draw a clarity optimization coefficient curve by plotting points, and then get the maximum peak value and the minimum trough value from the clarity optimization coefficient curve. Set the difference between the maximum peak value and the minimum trough value as the dynamic span value, and compare the dynamic span value with the preset dynamic span value threshold stored in the internal input:

[0030] If the dynamic span value is less than the preset dynamic span value threshold, no signal is generated;

[0031] If the dynamic span value is greater than or equal to the preset dynamic span value threshold, a pipe adjustment signal is generated.

[0032] The beneficial effects of the present invention are as follows:

[0033] (1) The present invention analyzes the visual interference and visual performance of the data display device in order to reasonably control the data display device to improve the visual effect of the data cleaning process, that is, the visual interference level assessment analysis is performed on the visual interference data to understand the impact level of potential factors on the visual interference of data cleaning, so as to provide data support for subsequent analysis, and the visual risk assessment analysis of the cleaning period is performed on the display status data, and combined with the analysis of the visual interference impact level of data cleaning, to understand the risk of visual screen loss of the data display device during the data cleaning period, so as to reasonably control the data display device according to the text feedback, so as to improve the visual integrity and fluency of the data cleaning of the data display device;

[0034] (2) When the data display device is operating normally, the present invention performs an evaluation and analysis of the display quality data on the demand for picture quality optimization to understand the picture quality of the data display device during the data cleaning period so as to reasonably perform optimization processing to improve the visual clarity of the data cleaning of the data display device, and to perform early risk control of the data display device from a predictive perspective, and to perform targeted management of the data display device based on text feedback to improve the visual stability of the data cleaning of the data display device. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The present invention will be further described below in conjunction with the accompanying drawings;

[0036] Figure 1 It is a flowchart of the system of the present invention;

[0037] Figure 2 It is a local analysis reference diagram of the first embodiment of the present invention. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] Embodiment 1:

[0040] See also Figure 1 to Figure 2As shown, the present invention is a visualization system for data cleaning, including a visual operation platform, an information management unit, a visual interference unit, a visual state unit, a dynamic visual unit and a management response unit, the visual operation platform is connected to the information management unit in a one-way communication, the information management unit is connected to the visual interference unit and the visual state unit in a one-way communication, the visual interference unit is connected to the visual state unit in a one-way communication, the visual state unit is connected to the dynamic visual unit and the management response unit in a one-way communication, and the dynamic visual unit is connected to the management response unit in a one-way communication;

[0041] When the visual operation platform detects any data cleaning period in the data display device, a supervision instruction is generated and sent to the information management unit. After receiving the supervision instruction, the information management unit immediately collects the visual interference data and display status data of the data display device. The visual interference data includes the overheating risk value, the rejection risk value and the performance deviation value. The display status data includes the visual missing value and the cleaning screen missing ratio. The visual interference data and the display status data are sent to the visual interference unit and the visual status unit respectively. After receiving the visual interference data, the visual interference unit immediately performs a visual interference level assessment and analysis on the visual interference data to understand the potential factors that affect the level of visual interference of data cleaning, so as to provide data support for subsequent analysis. The specific visual interference level assessment and analysis process is as follows:

[0042] Set a monitoring cycle and set it as a time threshold, obtain the overheating hazard value of the device displayed by the data within the time threshold, the overheating hazard value means that the data shows that the working temperature of the internal electrical components of the device exceeds the preset working temperature threshold and the corresponding duration is longer than the preset threshold. The proportion of electrical components corresponding to the preset threshold, at the same time, obtain the proportion of unconventional components in the electrical components corresponding to the preset threshold when the working temperature of the electrical components exceeds the preset working temperature threshold and the duration is longer than the preset threshold, and set it as the rejection risk value. The unconventional component indicates that the electrical component is a non-original component. It should be noted that the overheating hazard value and the rejection risk value are two parameters that reflect the potential operating risks of the internal electrical components of the device displayed by the data;

[0043] Obtain the performance deviation value of the data display device within the time threshold. The performance deviation value indicates that the value corresponding to the working status data of the data display device exceeds the duration of the overlap corresponding to the preset threshold. The working status data includes the average value of abnormal sound, the average value of working voltage, etc. It should be noted that the performance deviation value is an influencing parameter reflecting the potential operating risk of the data display device. The overheating risk value, the rejection risk value and the performance deviation value are labeled GR, PC and BP respectively;

[0044] According to the formula Obtain the visible potential hazard coefficient, where f1, f2 and f3 are respectively the preset proportional factor coefficients of the overheating hazard value, the rejection risk value and the performance deviation value. The proportional factor coefficient is used to correct the deviation of various parameters in the formula calculation process, so as to make the calculation result more accurate. f4 is the preset correction factor coefficient. f1, f2, f3 and f4 are all greater than zero. KQ is the visible potential hazard coefficient. The visible potential hazard coefficient KQ is compared and analyzed with the preset visible potential hazard coefficient interval stored internally:

[0045] If the visible potential hidden danger coefficient KQ is greater than the maximum value in the preset visible potential hidden danger coefficient range, a third-level hidden danger signal is generated;

[0046] If the visible potential hidden danger coefficient KQ belongs to the preset visible potential hidden danger coefficient range, a secondary hidden danger signal is generated;

[0047] If the visible potential hidden danger coefficient KQ is less than the minimum value in the preset visible potential hidden danger coefficient interval, a first-level hidden danger signal is generated, wherein the potential hidden danger risks corresponding to the first-level hidden danger signal, the second-level hidden danger signal, and the third-level hidden danger signal are increased in sequence, and the first-level hidden danger signal, the second-level hidden danger signal, and the third-level hidden danger signal are set as the safety hidden danger value AF, and the safety hidden danger value AF=1, 2, 3. When the safety hidden danger value AF=1, it indicates a first-level hidden danger signal, when the safety hidden danger value AF=2, it indicates a second-level hidden danger signal, and when the safety hidden danger value AF=3, it indicates a third-level hidden danger signal, and the safety hidden danger value AF is sent to the visual state unit;

[0048] After receiving the display status data and the safety hazard value AF, the visual status unit immediately performs a visual risk assessment and analysis of the display status data during the cleaning period to understand the risk of visual screen loss of the data display device during the data cleaning period, so as to conduct timely feedback management, so as to reasonably control the data display device, so as to improve the integrity of the data cleaning process and the smoothness of the visual screen. The specific visual risk assessment and analysis process during the cleaning period is as follows:

[0049] The total number of data cleaning jams of the data display device within the time threshold is obtained, and then the jam duration corresponding to each data cleaning jam number is obtained, and the ratio between the number of jam durations greater than the preset jam duration threshold and the total number of data cleaning jams is set as the visible missing value KS. It should be noted that the larger the value of the visible missing value KS, the greater the risk of visual integrity abnormality of the data display device;

[0050] The total number of screen loss of the data display device within the time threshold is obtained, and then the screen loss area corresponding to each screen loss number is obtained. A rectangular coordinate system is established with the screen loss number as the X-axis and the screen loss area as the Y-axis. A screen loss area curve is drawn by plotting points. The ratio of the sum of the number of rising segments and the number of horizontal segments connected to the upper end of the rising segment is obtained from the screen loss area curve, and it is set as the cleaning screen loss ratio QX. It should be noted that the larger the value of the cleaning screen loss ratio QX, the greater the visual integrity abnormality risk of the data display device;

[0051] According to the formula The cleaning visual risk coefficient is obtained, where a1, a2 and a3 are respectively the preset weight factor coefficients of the visual missing value, the cleaning screen missing ratio and the safety hazard value, a4 is the preset fault tolerance factor coefficient, a1, a2, a3 and a4 are all greater than zero, KF is the cleaning visual risk coefficient, and the cleaning visual risk coefficient KF is compared and analyzed with the preset cleaning visual risk coefficient threshold value stored in the internal input:

[0052] If the ratio between the cleaning visual risk factor KF and the preset cleaning visual risk factor threshold is less than 1, a stable signal is generated and sent to the dynamic visual unit;

[0053] If the ratio between the cleaning visual risk coefficient KF and the preset cleaning visual risk coefficient threshold is greater than or equal to 1, an alarm signal is generated and sent to the management response unit. After receiving the alarm signal, the management response unit immediately displays the preset warning text corresponding to the alarm signal, so as to reasonably manage and control the data display device according to the text feedback, so as to improve the visual integrity and smoothness of the data cleaning of the data display device.

[0054] Embodiment 2:

[0055] After receiving the stable signal, the dynamic visual unit immediately collects the display quality data of the data display device. The display quality data includes picture clarity and actual picture resolution, and performs picture quality optimization demand evaluation and analysis on the display quality data to understand the picture quality of the data display device during the data cleaning period, so as to reasonably optimize the processing to improve the visual clarity of the data display device during data cleaning. The specific picture quality optimization demand evaluation and analysis process is as follows:

[0056] The time threshold is divided into i sub-time periods, where i is a natural number greater than zero, and the proportion of the duration corresponding to the picture clarity of the data display device being lower than the preset picture clarity threshold in each sub-time period is obtained, and at the same time, the proportion of the duration corresponding to the actual picture resolution of the data display device being lower than the rated resolution in each sub-time period is obtained, and the sum of the proportion of the duration corresponding to the picture clarity being lower than the preset picture clarity threshold and the proportion of the duration corresponding to the actual picture resolution being lower than the rated resolution is set as the visible clarity deviation value. It should be noted that the larger the value of the visible clarity deviation value is, the greater the risk of visual picture quality abnormality is;

[0057] The visual clarity deviation value is compared and analyzed with the stored preset visual clarity deviation value threshold, and the sub-time period corresponding to the visual clarity deviation value greater than or equal to the preset visual clarity deviation value threshold is set as the non-clear time period, and the sub-time period corresponding to the visual clarity deviation value less than the preset visual clarity deviation value threshold is set as the clear time period, and then the non-clear time period - clear time period fan chart is drawn, and the ratio of the area corresponding to the non-clear time period to the area corresponding to the clear time period is obtained from the non-clear time period - clear time period fan chart, and it is set as the clarity optimization coefficient, and the clarity optimization coefficient is compared and analyzed with the preset clarity optimization coefficient threshold stored internally:

[0058] If the ratio between the clarity optimization coefficient and the preset clarity optimization coefficient threshold is less than 1, a feedback signal is generated;

[0059] If the ratio between the clarity optimization coefficient and the preset clarity optimization coefficient threshold is greater than or equal to 1, an optimization signal is generated and sent to the management response unit. After receiving the optimization signal, the management response unit immediately displays the preset warning text corresponding to the optimization signal, so as to control the display quality of the data display device according to the text feedback, so as to improve the visual clarity of the data cleaning of the data display device;

[0060] When the feedback signal is generated, the clarity optimization coefficients of the next m data display devices are obtained, where m is a natural number greater than zero. A rectangular coordinate system is established with the number of clarity optimization coefficients as the X-axis and the clarity optimization coefficients as the Y-axis. A clarity optimization coefficient curve is drawn by plotting points, and then the maximum peak value and the minimum trough value are obtained from the clarity optimization coefficient curve. The difference between the maximum peak value and the minimum trough value is set as the dynamic span value, and the dynamic span value is compared and analyzed with the preset dynamic span value threshold value stored in the internal input:

[0061] If the dynamic span value is less than the preset dynamic span value threshold, no signal is generated;

[0062] If the dynamic span value is greater than or equal to the preset dynamic span value threshold, a control signal is generated and sent to the management response unit. After receiving the control signal, the management response unit immediately displays the preset warning text corresponding to the control signal, so as to carry out targeted management of the data display device according to the text feedback, so as to improve the visual stability of data cleaning of the data display device, and optimize the data display device in advance through prediction, so as to improve the visual effect of data cleaning;

[0063] In summary, the present invention analyzes the visual interference and visual performance of the data display device so as to reasonably control the data display device to improve the visual effect of the data cleaning process, that is, the visual interference level evaluation and analysis is performed on the visual interference data to understand the potential factors on the visual interference level of data cleaning, so as to provide data support for subsequent analysis, and the display status data is evaluated and analyzed during the cleaning period, and the visual risk evaluation and analysis is performed in combination with the visual interference impact level of data cleaning to understand the risk of visual screen loss of the data display device during the data cleaning period, so as to reasonably control the data display device according to the text feedback, so as to improve the visual integrity and smoothness of the data cleaning of the data display device, and when the data display device is normal, the display quality data is evaluated and analyzed for picture quality optimization needs to understand the picture quality of the data display device during the data cleaning period, so as to reasonably perform optimization processing to improve the visual clarity of the data cleaning of the data display device, and the data display device is controlled in advance from the perspective of prediction, and the data display device is targetedly managed according to the text feedback to improve the visual stability of the data cleaning of the data display device.

[0064] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0065] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A visualization system for data cleaning, characterized by: It includes a visual operation platform, an information management unit, a visual interference unit, a visual state unit, a dynamic visual unit and a management response unit; The information management unit is used to collect visual interference data and display status data of the data display device, the visual interference data includes an overheating risk value, a rejection risk value, and a performance deviation value, and the display status data includes a visual missing value and a cleaning screen missing ratio, and send the visual interference data and the display status data to the visual interference unit and the visual status unit respectively; After receiving the visual interference data, the visual interference unit immediately performs visual interference level assessment analysis on the visual interference data, and performs discriminant analysis on the obtained visual potential hazard coefficient KQ to obtain a safety hazard value AF; After receiving the display status data and the safety hazard value AF, the visual status unit immediately performs a visual risk assessment analysis of the cleaning period on the display status data, sends the obtained stable signal to the dynamic visual unit, and sends the obtained alarm signal to the management response unit; After receiving the stable signal, the dynamic visual unit immediately collects the display quality data of the data display device, the display quality data includes picture clarity and actual picture resolution, and performs picture quality optimization demand evaluation and analysis on the display quality data, and sends the obtained optimization signal and pipe adjustment signal to the management response unit.

2. The data cleaning visualization system according to claim 1, characterized in that: The visual interference level evaluation and analysis process of the visual interference unit is as follows: Set a monitoring cycle and set it as a time threshold, obtain the data within the time threshold to show the overheating risk value of the equipment, the overheating risk value means that the data shows that the working temperature of the electrical components inside the equipment exceeds the preset working temperature threshold and the corresponding continuous time is longer than the preset threshold corresponding to the proportion of electrical components, and at the same time, obtain the proportion of unconventional components in the electrical components corresponding to the preset threshold corresponding to the working temperature of the electrical components exceeding the preset working temperature threshold and the corresponding continuous time is longer than the preset threshold, and set it as the exclusion risk value, the unconventional component means that the electrical component is a non-original component; The data obtained within the time threshold displays the performance deviation value of the device. The performance deviation value means that the value corresponding to the working status data of the data display device exceeds the overlap duration corresponding to the preset threshold. The working status data includes the average abnormal sound and the average working voltage. The overheating hazard value, rejection risk value and performance deviation value are labeled GR, PC and BP respectively.

3. The data cleaning visualization system according to claim 2, characterized in that: The overheating risk value GR, the rejection risk value PC and the performance deviation value BP are calculated by the formula Obtain the visible potential hazard coefficient, where f1, f2 and f3 are respectively the preset proportional factor coefficients of the overheating hazard value, the rejection risk value and the performance deviation value, f4 is the preset correction factor coefficient, f1, f2, f3 and f4 are all greater than zero, KQ is the visible potential hazard coefficient, and the visible potential hazard coefficient KQ is compared and analyzed with the preset visible potential hazard coefficient range stored internally: If the visible potential hidden danger coefficient KQ is greater than the maximum value in the preset visible potential hidden danger coefficient range, a third-level hidden danger signal is generated; If the visible potential hidden danger coefficient KQ belongs to the preset visible potential hidden danger coefficient range, a secondary hidden danger signal is generated; If the visible potential hazard coefficient KQ is less than the minimum value in the preset visible potential hazard coefficient range, a first-level hazard signal is generated, and the first-level hazard signal, the second-level hazard signal, and the third-level hazard signal are set as the safety hazard value AF, and the safety hazard value AF=1, 2, 3.

4. The data cleaning visualization system according to claim 1, characterized in that: The visual risk assessment and analysis process of the cleaning period of the visual status unit is as follows: S1: Obtain the total number of data cleaning jams of the data display device within the time threshold, and then obtain the jam duration corresponding to each data cleaning jam number, and set the ratio between the number of jam durations greater than the preset jam duration threshold and the total number of data cleaning jams as the visible missing value KS; S2: Obtain the total number of screen loss of the data display device within the time threshold, and then obtain the screen loss area corresponding to each screen loss number, establish a rectangular coordinate system with the screen loss number as the X-axis and the screen loss area as the Y-axis, draw a screen loss area curve by plotting points, obtain the ratio of the sum of the number of rising segments and the number of horizontal segments connected to the upper end of the rising segment from the screen loss area curve, and set it as the cleaning screen loss ratio QX; S3: The cleaning visual risk coefficient KF is obtained according to the formula, and the cleaning visual risk coefficient KF is compared and analyzed with the preset cleaning visual risk coefficient threshold value stored in the internal input: If the ratio between the cleaning visual risk factor KF and the preset cleaning visual risk factor threshold is less than 1, a stable signal is generated; If the ratio between the cleaning visual risk factor KF and the preset cleaning visual risk factor threshold is greater than or equal to 1, an alarm signal is generated.

5. The data cleaning visualization system according to claim 1, characterized in that: The picture quality optimization demand evaluation and analysis process of the dynamic visual unit is as follows: The time threshold is divided into i sub-time periods, where i is a natural number greater than zero, and the proportion of the duration corresponding to the picture clarity of the data display device being lower than the preset picture clarity threshold in each sub-time period is obtained, and at the same time, the proportion of the duration corresponding to the actual picture resolution of the data display device being lower than the rated resolution in each sub-time period is obtained, and the sum of the proportion of the duration corresponding to the picture clarity being lower than the preset picture clarity threshold and the proportion of the duration corresponding to the actual picture resolution being lower than the rated resolution is set as the visual clarity deviation value; The visual clarity deviation value is compared and analyzed with the stored preset visual clarity deviation value threshold, and the sub-time period corresponding to the visual clarity deviation value greater than or equal to the preset visual clarity deviation value threshold is set as the non-clear time period, and the sub-time period corresponding to the visual clarity deviation value less than the preset visual clarity deviation value threshold is set as the clear time period, and then a fan diagram of the non-clear time period - the clear time period is drawn, and the ratio of the area corresponding to the non-clear time period to the area corresponding to the clear time period is obtained from the fan diagram of the non-clear time period - the clear time period, and it is set as the clarity optimization coefficient.

6. The data cleaning visualization system according to claim 5, characterized in that: The clarity optimization coefficient is compared and analyzed with the preset clarity optimization coefficient threshold value recorded and stored internally: If the ratio between the clarity optimization coefficient and the preset clarity optimization coefficient threshold is less than 1, a feedback signal is generated; if the ratio between the clarity optimization coefficient and the preset clarity optimization coefficient threshold is greater than or equal to 1, an optimization signal is generated.

7. The data cleaning visualization system according to claim 6, characterized in that: When the dynamic visual unit generates a feedback signal: Get the clarity optimization coefficients of the next m data display devices, where m is a natural number greater than zero. Use the number of clarity optimization coefficients as the X-axis and the clarity optimization coefficients as the Y-axis to establish a rectangular coordinate system. Draw a clarity optimization coefficient curve by plotting points, and then get the maximum peak value and the minimum trough value from the clarity optimization coefficient curve. Set the difference between the maximum peak value and the minimum trough value as the dynamic span value, and compare the dynamic span value with the preset dynamic span value threshold stored in the internal input: If the dynamic span value is less than the preset dynamic span value threshold, no signal is generated; If the dynamic span value is greater than or equal to the preset dynamic span value threshold, a pipe adjustment signal is generated.

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