A marine water monitoring system based on data visualization
By introducing a monitoring platform based on data visualization into the marine water monitoring system and conducting multi-level supervision evaluation analysis, it solves the problems of insufficient monitoring of monitoring equipment status and low reliability of information feedback in the existing system, and achieves efficient and accurate marine monitoring. Water monitoring.
Patent Information
- Application Number
- CN202411054122.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-02
- Publication Date
- 2025-01-21
- Estimated Expiration
- 2044-08-02
AI Technical Summary
The existing marine water monitoring system cannot effectively monitor the status of the monitoring equipment, resulting in an increase in the risk of monitoring abnormalities and the reliability and accuracy of the information feedback information on the visual equipment, reducing the effectiveness of the visual feedback.
By introducing a monitoring platform based on data visualization into the marine water monitoring system, including a visual monitoring platform, a monitoring evaluation unit, a visual supervision unit, a data verification unit, an information evaluation unit and a display response unit, the information effectiveness of monitoring equipment is supervised. Evaluation analysis, information feedback matching supervision analysis, visual timeliness supervision evaluation analysis and visual information integrity supervision evaluation analysis.
It improves the effectiveness of monitoring information and the visual accuracy and information reliability of visualization equipment, ensures the timeliness and accuracy of data display, and reduces the risk of information loss, thus improving the overall monitoring information integrity and reliability of the marine water monitoring system. Visual monitoring effect.
Smart Images

Figure CN118583136B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of ocean water area monitoring, and in particular to an ocean water area monitoring system based on data visualization. Background Art
[0002] my country is a major maritime country. Ocean monitoring is an important task related to ocean measurement, marine environment, marine disaster warning, marine safety and marine resource development. Marine monitoring systems such as buoys, submerged buoys, automatic stations and various parameter monitors generally refer to the measurement of multiple meteorological elements such as wind speed, wind direction, temperature, humidity, air pressure, ocean currents, etc. in a certain sea area. Since the ocean conditions in each sea area change in real time, it is necessary to ensure that the ocean monitoring system can always be in good working condition.
[0003] However, in the existing monitoring technology, it is impossible to supervise and analyze the monitoring status of the monitoring equipment, which leads to an increase in the risk of abnormal monitoring, and it is impossible to verify and supervise the feedback information of the monitoring equipment on the visualization equipment, thereby reducing the reliability and accuracy of the information feedback of the visualization equipment, and at the same time reducing the visual feedback effect of the information, which is not conducive to intuitively understanding the monitoring status of the monitoring equipment, and it is impossible to supervise the visual picture, thereby reducing the visual integrity of the information and the visual monitoring effect;
[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention
[0005] The purpose of the present invention is to provide an ocean water monitoring system based on data visualization to solve the technical defects mentioned above. The present invention improves the effectiveness of monitoring information by conducting information effectiveness supervision, evaluation and analysis on the monitoring performance data of the monitoring equipment. Under the premise that the monitoring equipment is normal, information feedback matching supervision and analysis is conducted through information feedback to improve the visual accuracy and information reliability of the visualization equipment. Under the matching premise, the transmission data is deeply supervised, evaluated and analyzed for visual timeliness to ensure the timeliness and accuracy of the data displayed by the visualization equipment. At the same time, the data information integrity of the monitoring equipment in the visualization equipment is further analyzed to intuitively understand the data information integrity of the monitoring equipment, that is, the display risk data of the visualization equipment is collected, and the display risk data is supervised, evaluated and analyzed for visual information integrity to reduce the risk of information missing of the visualization equipment, thereby helping to improve the monitoring information integrity and visual monitoring effect of the visualization equipment.
[0006] The purpose of the present invention can be achieved by the following technical solutions:
[0007] A marine water monitoring system based on data visualization, comprising a visual monitoring platform, a monitoring and evaluation unit, a visual supervision unit, a data verification unit, an information evaluation unit and a display response unit;
[0008] The monitoring and evaluation unit is used to collect monitoring performance data of the monitoring equipment, and perform information effectiveness supervision, evaluation and analysis on the monitoring performance data to obtain normal signals and risk signals;
[0009] The visual supervision unit is used to respond to the normal signal to perform information feedback matching supervision analysis, obtain matching instructions and corresponding instructions, and perform discrimination processing on the matching instructions and the corresponding instructions to obtain a visual standard signal and a visual deviation signal;
[0010] The data verification unit is used to respond to the visual standard signal, collect the transmission data of the monitoring equipment, and perform visual timeliness supervision evaluation analysis on the transmission data to obtain the display deviation coefficient, and perform discrimination processing on the display deviation coefficient, and send the management signal to the display response unit;
[0011] The information evaluation unit is used to respond to visual standard signals, collect display risk data of visualization equipment, perform visual information integrity supervision evaluation and analysis on the display risk data, compare and process the obtained image abnormality values and image deviation values, and send the abnormal signal to the display response unit. After receiving the abnormal signal, the display response unit immediately displays the preset warning text corresponding to the abnormal signal, that is, the preset warning text corresponding to the abnormal signal is "display management".
[0012] Optionally, the information effectiveness supervision evaluation analysis of the monitoring performance data includes:
[0013] Set a monitoring period and set it as a time threshold, divide the time threshold into i sub-time periods, i is a natural number greater than zero, and obtain monitoring performance data of the monitoring equipment in the target sea area in each sub-time period, wherein the monitoring performance data includes a transmission stability value and a monitoring risk value;
[0014] The transmission stability value and the monitoring risk value are imported into the preset model to obtain the data risk assessment coefficient of each sub-time period, the difference between the maximum value and the minimum value in the data risk assessment coefficient Ci is set as the data risk span coefficient, and the data risk span coefficient is compared and analyzed with the pre-stored preset data risk span coefficient threshold to obtain normal signals and risk signals.
[0015] Optionally, the preset model includes:
[0016]
[0017] Among them, CWi is the transmission stability value, JFi is the monitoring risk value, a1 and a2 are the preset proportional factor coefficients of the transmission stability value CWi and the monitoring risk value JFi respectively, a3 is the preset correction factor coefficient, a1, a2 and a3 are all greater than zero, and Ci is the data risk assessment coefficient for each sub-time period.
[0018] Optionally, the comparing and analyzing the data risk span coefficient with a preset data risk span coefficient threshold value recorded and stored internally to obtain a normal signal and a risk signal includes:
[0019] If the ratio between the data risk span coefficient and the preset data risk span coefficient threshold is less than 1, a normal signal is generated;
[0020] If the ratio between the data risk span coefficient and the preset data risk span coefficient threshold is greater than or equal to 1, a risk signal is generated.
[0021] Optionally, the transmission stability value is used to indicate the percentage of the duration corresponding to the data transmission volume per unit time of the monitoring device in the sub-time period being greater than the preset data transmission volume per unit time;
[0022] The monitoring risk value is used to indicate that a numerical value corresponding to a state parameter of the monitoring device is greater than a duration of coincidence corresponding to a preset threshold, wherein the state parameter includes a temperature rise rate and a vibration amplitude.
[0023] Optionally, performing information feedback matching supervision analysis in response to the normal signal includes:
[0024] The number and number of monitoring devices marked in red in the visualization device and the number and number of monitoring devices corresponding to the risk signal are actually obtained within the time threshold. If the number of monitoring devices marked in red in the visualization device is the same as the number of monitoring devices corresponding to the risk signal, and the numbers corresponding to the monitoring devices marked in red correspond to the numbers corresponding to the monitoring devices corresponding to the risk signal, a matching instruction is generated;
[0025] The number and number of monitoring devices marked in green in the visualization device and the number and number of monitoring devices corresponding to normal signals within the time threshold are actually obtained. If the number of monitoring devices marked in green in the visualization device is the same as the number of monitoring devices corresponding to normal signals, and the numbers of monitoring devices marked in green correspond to the numbers of monitoring devices corresponding to normal signals, then a corresponding instruction is generated, and the matching instruction and the corresponding instruction are further analyzed:
[0026] If the matching instruction and the corresponding instruction are generated at the same time, a visual standard signal is obtained;
[0027] If the matching instruction and the corresponding instruction are not generated simultaneously, a visible deviation signal is obtained.
[0028] Optionally, the performing visual timeliness supervision assessment analysis on the transmission data includes:
[0029] The change moment of the monitoring data corresponding to the monitoring device in the visualization device within the time threshold is obtained, and at the same time, the corresponding moment when the target monitoring device starts to transmit the monitoring data within the time threshold is obtained, and the difference between the change moment of the monitoring data corresponding to the target monitoring device in the visualization device and the corresponding moment when the target monitoring device starts to transmit the monitoring data is set as the transmission duration, and m transmission durations within the time threshold are obtained, where m is a natural number greater than zero, and a rectangular coordinate system is established with the number of transmission durations as the X-axis and the transmission duration as the Y-axis, and a transmission duration curve is drawn by drawing points, and the maximum peak value and the minimum trough value in the transmission duration curve are obtained, and the difference between the maximum peak value and the minimum trough value in the transmission duration curve is set as the display deviation coefficient;
[0030] The display deviation coefficient is compared and analyzed with the preset display deviation coefficient threshold value recorded and stored internally to obtain any signal and management signal.
[0031] Optionally, the display deviation coefficient is compared and analyzed with a preset display deviation coefficient threshold value recorded and stored internally to obtain any signal and management signal, including:
[0032] If the ratio between the display deviation coefficient and the preset display deviation coefficient threshold is less than 1, any signal is generated;
[0033] If the ratio between the display deviation coefficient and the preset display deviation coefficient threshold is greater than or equal to 1, a management signal is generated.
[0034] Optionally, the performing visual information integrity supervision assessment analysis on the displayed risk data includes:
[0035] Obtaining display risk data of the visualization device within the time threshold, the display risk data including the screen abnormality value and the screen deviation value, and comparing and analyzing the screen abnormality value and the screen deviation value with the preset screen abnormality value threshold and the preset screen deviation value threshold recorded and stored internally, and generating any signal and abnormal signal;
[0036] Among them, the picture abnormality value indicates the total duration of abnormal performance of the picture, and the abnormal performance includes jitter and wave; the picture deviation value indicates the product of the duration corresponding to the surface missing and the numerical value corresponding to the picture missing frequency in the picture feature video of the visualization device multiplied by the set error weight factor.
[0037] Optionally, the comparing and analyzing the image abnormal value and the image deviation value with the preset image abnormal value threshold and the preset image deviation value threshold recorded and stored internally to generate any signal and abnormal signal includes:
[0038] If the image abnormality value is less than the preset image abnormality value threshold, and the image deviation value is less than the preset image deviation value threshold, no signal is generated;
[0039] If the image abnormality value is greater than or equal to a preset image abnormality value threshold, or the image deviation value is greater than or equal to a preset image deviation value threshold, an abnormality signal is generated.
[0040] Compared with the related art, the marine water monitoring system based on data visualization provided by this application has at least the following technical effects:
[0041] Through the information effectiveness supervision and evaluation analysis of the monitoring performance data of the monitoring equipment, the operation status and information effectiveness of the monitoring equipment can be understood, so as to achieve accurate management of the monitoring equipment and improve the effectiveness of the monitoring information. Under the premise that the monitoring equipment is normal, the information feedback matching supervision analysis is carried out through information feedback to understand whether the actual display status of the monitoring equipment in the visualization equipment corresponds to the feedback status, so as to improve the visual accuracy and information reliability of the visualization equipment;
[0042] Under the premise of matching, an in-depth visual timeliness supervision, evaluation and analysis is conducted on the transmission data, that is, the transmission timeliness between the target monitoring device and the visualization device is understood from the perspective of transmission, so as to optimize the connection between the target monitoring device and the visualization device to ensure the timeliness and accuracy of the data displayed by the visualization device. At the same time, the data information integrity of the monitoring device in the visualization device is further analyzed to intuitively understand the data information integrity of the monitoring device, that is, the display risk data of the visualization device is collected, and the visual information integrity supervision, evaluation and analysis is conducted on the display risk data, so as to reduce the risk of information missing of the visualization device, which in turn helps to improve the monitoring information integrity and visual monitoring effect of the visualization device. BRIEF DESCRIPTION OF THE DRAWINGS
[0043] The present invention will be further described below in conjunction with the accompanying drawings;
[0044] Figure 1 The figure is a flow chart of an ocean water area monitoring system according to an exemplary embodiment.
[0045] Figure 2 is a local analysis diagram shown according to another exemplary embodiment. DETAILED DESCRIPTION
[0046] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present application.
[0047] Obviously, the drawings described below are only some examples or embodiments of the present application. For ordinary technicians in this field, the present application can also be applied to other similar scenarios based on these drawings without creative work. In addition, it can also be understood that although the efforts made in this development process may be complicated and lengthy, for ordinary technicians in this field related to the content disclosed in this application, some changes in design, manufacturing or production based on the technical content disclosed in this application are just conventional technical means, and should not be understood as insufficient content disclosed in this application.
[0048] Reference to "embodiments" in this application means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those of ordinary skill in the art that the embodiments described in this application may be combined with other embodiments without conflict.
[0049] Unless otherwise defined, the technical terms or scientific terms involved in this application should be understood by people with ordinary skills in the technical field to which this application belongs. The words "one", "a", "a", "the" and the like involved in this application do not indicate a quantity limitation, and may indicate the singular or plural. The terms "include", "comprise", "have" and any of their variations involved in this application are intended to cover non-exclusive inclusions; for example, a process, method, system, product or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units that are not listed, or may also include other steps or units inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like involved in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The "multiple" involved in this application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that there may be three relationships, for example, "A and / or B" can mean: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects before and after are in an "or" relationship. The terms "first", "second", "third", etc. involved in this application are only used to distinguish similar objects and do not represent a specific ordering of the objects. Example
[0050] See also Figure 1 to Figure 2 As shown, the present invention is a marine water monitoring system based on data visualization, including a visual monitoring platform, a monitoring and evaluation unit, a visual supervision unit, a data verification unit, an information evaluation unit and a display response unit, the visual monitoring platform is connected to the monitoring and evaluation unit in a one-way communication, the monitoring and evaluation unit is connected to the visual supervision unit and the display response unit in a one-way communication, the visual supervision unit is connected to the data verification unit and the information evaluation unit in a one-way communication, and the data verification unit and the information evaluation unit are connected to the display response unit in a one-way communication;
[0051] When the visual monitoring platform generates an operation management instruction, it sends the operation management instruction to the monitoring and evaluation unit. After receiving the operation management instruction, the monitoring and evaluation unit immediately collects the monitoring performance data of the monitoring equipment and performs information effectiveness supervision and evaluation analysis on the monitoring performance data to understand the operation status and information effectiveness of the monitoring equipment, so as to achieve accurate management of the monitoring equipment and improve the effectiveness of the monitoring information. The specific information effectiveness supervision and evaluation analysis process is as follows:
[0052] Set the monitoring cycle and set it as the time threshold. Divide the time threshold into i sub-time periods, where i is a natural number greater than zero. Obtain the monitoring performance data of the monitoring equipment in the target sea area in each sub-time period. The monitoring performance data includes the transmission stability value and the monitoring risk value. The transmission stability value and the monitoring risk value are labeled CWi and JFi respectively. Substitute the transmission stability value CWi and the monitoring risk value JFi into the formula The data risk assessment coefficient of each sub-time period is obtained, where a1 and a2 are the preset proportional factor coefficients of the transmission stability value CWi and the monitoring risk value JFi respectively. 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. a3 is the preset correction factor coefficient. a1, a2 and a3 are all greater than zero. Ci is the data risk assessment coefficient of each sub-time period, and then the maximum and minimum values in the data risk assessment coefficient Ci are obtained, and the difference between the maximum and minimum values in the data risk assessment coefficient Ci is set as the data risk span coefficient. The data risk span coefficient is compared and analyzed with the preset data risk span coefficient threshold value stored in the internal input:
[0053] If the ratio between the data risk span coefficient and the preset data risk span coefficient threshold is less than 1, a normal signal is generated and sent to the visual supervision unit;
[0054] If the ratio between the data risk span coefficient and the preset data risk span coefficient threshold is greater than or equal to 1, a risk signal is generated, and the normal signal and the risk signal are sent to the display response unit. After receiving the normal signal and the risk signal, the display response unit immediately marks the monitoring device corresponding to the normal signal as green, and the monitoring device corresponding to the risk signal as red, so as to intuitively understand the monitoring status of each monitoring device, and then timely manage and maintain it to achieve the safety and stability of monitoring;
[0055] In the embodiment of the present invention, the transmission stability value indicates the proportion of the duration corresponding to the preset data transmission amount per unit time of the monitoring device in the sub-time period. It should be noted that the monitoring risk of the monitoring device is understood from the perspective of the data transmission stability of the monitoring device, so as to achieve timely transmission.
[0056] In the embodiment of the present invention, the monitoring risk value indicates that the value corresponding to the state parameter of the monitoring device is greater than the duration of the overlap corresponding to the preset threshold value, and the state parameter includes the temperature rise rate, the vibration amplitude, etc. It should be noted that the failure risk of the monitoring device is understood from the perspective of the operating performance characteristics of the monitoring device to ensure the normal operation of the monitoring device, thereby helping to ensure the validity of the monitoring data;
[0057] When a normal signal is generated, that is, under the premise that the monitoring equipment is operating normally, the visual supervision unit performs analysis from the visual angle of the monitoring equipment, that is, the visual supervision unit performs information feedback matching supervision analysis to understand whether the actual display of the monitoring equipment in the visualization equipment corresponds to the feedback, so as to improve the visual accuracy and information reliability of the visualization equipment. The specific information feedback matching supervision analysis process is as follows:
[0058] The number and number of monitoring devices marked in red in the visualization device and the number and number of monitoring devices corresponding to the risk signal are actually obtained within the time threshold. If the number of monitoring devices marked in red in the visualization device is the same as the number of monitoring devices corresponding to the risk signal, and the numbers corresponding to the monitoring devices marked in red correspond to the numbers corresponding to the monitoring devices corresponding to the risk signal, a matching instruction is generated;
[0059] The number and number of monitoring devices marked in green in the visualization device and the number and number of monitoring devices corresponding to normal signals within the time threshold are actually obtained. If the number of monitoring devices marked in green in the visualization device is the same as the number of monitoring devices corresponding to normal signals, and the numbers of monitoring devices marked in green correspond to the numbers of monitoring devices corresponding to normal signals, then a corresponding instruction is generated, and the matching instruction and the corresponding instruction are further analyzed:
[0060] If the matching instruction and the corresponding instruction are generated at the same time, a visual standard signal is obtained;
[0061] If the matching instruction and the corresponding instruction are not generated at the same time, a visual deviation signal is obtained, and the visual standard signal and the visual deviation signal are sent to the display response unit through the data verification unit. After receiving the visual standard signal and the visual deviation signal, the display response unit immediately displays the preset warning text corresponding to the visual standard signal and the visual deviation signal, so as to manage and adjust the visualization equipment and the monitoring equipment according to the feedback to ensure the authenticity and accuracy of the visual data in the visualization equipment. Example
[0062] After the visual standard signal is generated, the data changes of the monitoring device in the visualization device are further supervised, that is, the data verification unit collects the transmission data of the monitoring device and performs visual timeliness supervision evaluation and analysis on the transmission data to understand the timeliness of the connection transmission between the visualization device and the monitoring device. The specific visual timeliness supervision evaluation and analysis process is as follows:
[0063] The change time of the monitoring data corresponding to the monitoring device in the visualization device within the time threshold is obtained, and at the same time, the corresponding time when the target monitoring device starts to transmit the monitoring data within the time threshold is obtained, and the difference between the change time of the monitoring data corresponding to the target monitoring device in the visualization device and the corresponding time when the target monitoring device starts to transmit the monitoring data is set as the transmission duration, and m transmission durations within the time threshold are obtained, where m is a natural number greater than zero, and a rectangular coordinate system is established with the number of transmission durations as the X-axis and the transmission duration as the Y-axis, and a transmission duration curve is drawn by drawing points, and the maximum peak value and the minimum trough value in the transmission duration curve are obtained, and the difference between the maximum peak value and the minimum trough value in the transmission duration curve is set as the display deviation coefficient. It should be noted that the display deviation coefficient is a data embodiment that reflects the data flow between the target monitoring device and the visualization device, that is, the transmission timeliness between the target monitoring device and the visualization device is understood from the perspective of transmission, so as to optimize the connection between the target monitoring device and the visualization device, so as to ensure the timeliness and accuracy of the visualization device data display;
[0064] Compare and analyze the displayed deviation coefficient with the preset display deviation coefficient threshold value stored in the internal storage:
[0065] If the ratio between the display deviation coefficient and the preset display deviation coefficient threshold is less than 1, any signal is generated;
[0066] If the ratio between the display deviation coefficient and the preset display deviation coefficient threshold is greater than or equal to 1, a management signal is generated and sent to the display response unit. After receiving the management signal, the display response unit immediately marks the monitoring device corresponding to the management signal with text as "connection optimization" so as to intuitively understand the timeliness of data transmission of the monitoring device;
[0067] After generating the visual standard signal, the information evaluation unit further analyzes the data information integrity of the monitoring device in the visualization device so as to intuitively understand the data information integrity of the monitoring device, that is, collects the display risk data of the visualization device, and performs visual information integrity supervision evaluation and analysis on the display risk data to understand the visual information risk situation. The specific visual information integrity supervision evaluation and analysis process is as follows:
[0068] The display risk data of the visualization device within the time threshold is obtained. The display risk data includes the screen abnormality value and the screen deviation value. The screen abnormality value and the screen deviation value are compared and analyzed with the preset screen abnormality value threshold and the preset screen deviation value threshold that are recorded and stored internally:
[0069] If the image abnormality value is less than the preset image abnormality value threshold, and the image deviation value is less than the preset image deviation value threshold, no signal is generated;
[0070] If the image abnormal value is greater than or equal to the preset image abnormal value threshold, or the image deviation value is greater than or equal to the preset image deviation value threshold, an abnormal signal is generated and sent to the display response unit. After receiving the abnormal signal, the display response unit immediately displays the preset warning text corresponding to the abnormal signal, that is, the preset warning text corresponding to the abnormal signal is "display management", so as to reduce the risk of missing information of the visualization device, thereby helping to improve the integrity of the monitoring information of the visualization device;
[0071] In the embodiment of the present invention, the screen abnormality value indicates the total duration of abnormal performance of the screen, and the abnormal performance includes jitter, wave, etc. It should be noted that the abnormal performance may include but is not limited to: jitter, wave, it can be understood that this example is only used to illustrate the abnormal performance, in the actual application process, the server can be preset to obtain different abnormal performance;
[0072] In the embodiment of the present invention, the image deviation value represents the product value obtained by multiplying the duration corresponding to the surface loss and the image loss frequency corresponding to the image loss in the image feature video of the visualization device by the set error weight factor. It should be noted that the information integrity risk of the visualization device is understood from the perspective of image loss, so as to improve the integrity of the target sea area monitoring information;
[0073] In summary, the present invention performs information validity supervision, evaluation and analysis on the monitoring performance data of the monitoring equipment to understand the operation status and information validity of the monitoring equipment, so as to achieve accurate management of the monitoring equipment and improve the validity of the monitoring information. Under the premise that the monitoring equipment is normal, information feedback matching supervision and analysis is performed through information feedback to understand whether the actual display status of the monitoring equipment in the visualization device corresponds to the feedback status, so as to improve the visual accuracy and information reliability of the visualization device. Under the matching premise, the transmission data is deeply supervised, evaluated and analyzed for visual timeliness, that is, the transmission timeliness between the target monitoring device and the visualization device is understood from the perspective of transmission, so as to optimize the connection between the target monitoring device and the visualization device, so as to ensure the timeliness and accuracy of the data displayed by the visualization device. At the same time, the data information integrity of the monitoring device in the visualization device is further analyzed, so as to intuitively understand the data information integrity of the monitoring device, that is, the display risk data of the visualization device is collected, and the display risk data is supervised, evaluated and analyzed for visual information integrity, so as to reduce the risk of missing information of the visualization device, thereby helping to improve the monitoring information integrity and visual monitoring effect of the visualization device.
[0074] 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.
[0075] 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 marine water monitoring system based on data visualization, characterized in that: It includes a visual monitoring platform, a monitoring and evaluation unit, a visual supervision unit, a data verification unit, an information evaluation unit, and a display response unit; The monitoring and evaluation unit is used to collect monitoring performance data of the monitoring equipment, and perform information effectiveness supervision, evaluation and analysis on the monitoring performance data to obtain normal signals and risk signals; The visual supervision unit is used to respond to the normal signal to perform information feedback matching supervision analysis, obtain matching instructions and corresponding instructions, and perform discrimination processing on the matching instructions and the corresponding instructions to obtain a visual standard signal and a visual deviation signal; The data verification unit is used to respond to the visual standard signal, collect the transmission data of the monitoring equipment, and perform visual timeliness supervision evaluation analysis on the transmission data to obtain a display deviation coefficient, and perform discrimination processing on the display deviation coefficient, and send a management signal to the display response unit; The information evaluation unit is used to respond to the visual standard signal, collect the display risk data of the visualization device, and perform visual information integrity supervision evaluation analysis on the display risk data, and compare and process the obtained screen abnormal value and screen deviation value, and send the abnormal signal to the display response unit. After receiving the abnormal signal, the display response unit immediately displays the preset warning text corresponding to the abnormal signal, that is, the preset warning text corresponding to the abnormal signal is "display management"; Conducting information effectiveness supervision and evaluation analysis on the monitoring performance data, including: Set a monitoring period and set it as a time threshold, divide the time threshold into i sub-time periods, i is a natural number greater than zero, and obtain monitoring performance data of the monitoring equipment in the target sea area in each sub-time period, wherein the monitoring performance data includes a transmission stability value and a monitoring risk value; Importing the transmission stability value and the monitoring risk value into a preset model, obtaining the data risk assessment coefficient for each sub-time period, setting the difference between the maximum value and the minimum value in the data risk assessment coefficient Ci as the data risk span coefficient, and comparing and analyzing the data risk span coefficient with a pre-stored preset data risk span coefficient threshold to obtain a normal signal and a risk signal; The preset model includes: , where CWi is the transmission stability value, JFi is the monitoring risk value, a1 and a2 are the preset proportional factor coefficients of the transmission stability value CWi and the monitoring risk value JFi respectively, a3 is the preset correction factor coefficient, a1, a2 and a3 are all greater than zero, Ci is the data risk assessment coefficient of each sub-time period; The data risk span coefficient is compared and analyzed with the preset data risk span coefficient threshold value recorded and stored internally to obtain normal signals and risk signals, including: If the ratio between the data risk span coefficient and the preset data risk span coefficient threshold is less than 1, a normal signal is generated; If the ratio between the data risk span coefficient and the preset data risk span coefficient threshold is greater than or equal to 1, a risk signal is generated; The transmission stability value is used to indicate the percentage of the duration corresponding to the data transmission volume per unit time of the monitoring device in the sub-time period being greater than the preset data transmission volume per unit time; The monitoring risk value is used to indicate that the value corresponding to the state parameter of the monitoring device is greater than the duration of the overlap corresponding to the preset threshold, wherein the state parameter includes the temperature rise rate and the vibration amplitude; The performing information feedback matching supervision analysis in response to the normal signal includes: The number and number of monitoring devices marked in red in the visualization device and the number and number of monitoring devices corresponding to the risk signal are actually obtained within the time threshold. If the number of monitoring devices marked in red in the visualization device is the same as the number of monitoring devices corresponding to the risk signal, and the numbers corresponding to the monitoring devices marked in red correspond to the numbers corresponding to the monitoring devices corresponding to the risk signal, a matching instruction is generated; The number and number of monitoring devices marked in green in the visualization device and the number and number of monitoring devices corresponding to normal signals within the time threshold are actually obtained. If the number of monitoring devices marked in green in the visualization device is the same as the number of monitoring devices corresponding to normal signals, and the numbers of monitoring devices marked in green correspond to the numbers of monitoring devices corresponding to normal signals, then a corresponding instruction is generated, and the matching instruction and the corresponding instruction are further analyzed: If the matching instruction and the corresponding instruction are generated at the same time, a visual standard signal is obtained; If the matching instruction and the corresponding instruction are not generated simultaneously, a visual deviation signal is obtained; The visual timeliness supervision evaluation and analysis of the transmission data includes: The change moment of the monitoring data corresponding to the monitoring device in the visualization device within the time threshold is obtained, and at the same time, the corresponding moment when the target monitoring device starts to transmit the monitoring data within the time threshold is obtained, and the difference between the change moment of the monitoring data corresponding to the target monitoring device in the visualization device and the corresponding moment when the target monitoring device starts to transmit the monitoring data is set as the transmission duration, and m transmission durations within the time threshold are obtained, where m is a natural number greater than zero, and a rectangular coordinate system is established with the number of transmission durations as the X-axis and the transmission duration as the Y-axis, and a transmission duration curve is drawn by drawing points, and the maximum peak value and the minimum trough value in the transmission duration curve are obtained, and the difference between the maximum peak value and the minimum trough value in the transmission duration curve is set as the display deviation coefficient; Compare and analyze the display deviation coefficient with the preset display deviation coefficient threshold value recorded and stored internally to obtain any signal and management signal; The display deviation coefficient is compared and analyzed with the preset display deviation coefficient threshold value recorded and stored internally to obtain any signal and management signal, including: If the ratio between the display deviation coefficient and the preset display deviation coefficient threshold is less than 1, any signal is generated; If the ratio between the display deviation coefficient and the preset display deviation coefficient threshold is greater than or equal to 1, a management signal is generated; The visual information integrity supervision assessment analysis of the displayed risk data includes: Obtaining display risk data of the visualization device within the time threshold, the display risk data including the screen abnormality value and the screen deviation value, and comparing and analyzing the screen abnormality value and the screen deviation value with the preset screen abnormality value threshold and the preset screen deviation value threshold recorded and stored internally, and generating any signal and abnormal signal; The image abnormality value indicates the total duration of abnormal performance of the image, including jitter and wave; the image deviation value indicates the product of the duration corresponding to the appearance of the curved surface missing in the image feature video and the value corresponding to the image missing frequency multiplied by the set error weight factor; The image abnormal value and the image deviation value are compared and analyzed with the preset image abnormal value threshold and the preset image deviation value threshold recorded and stored internally, and any signal and abnormal signal are generated, including: If the image abnormality value is less than the preset image abnormality value threshold, and the image deviation value is less than the preset image deviation value threshold, no signal is generated; If the image abnormality value is greater than or equal to a preset image abnormality value threshold, or the image deviation value is greater than or equal to a preset image deviation value threshold, an abnormality signal is generated.
Citation Information
Patent Citations
Abnormality detection method, system and equipment for ocean timing sequence observation data
CN112685950A