Condition monitoring method, data acquisition system and equipment for ocean observation equipment

Abstract

The present application discloses a state monitoring method, data acquisition system, and equipment for marine observation equipment. The method includes: obtaining the current state data of the marine monitoring equipment through a set acquisition device; analyzing the state data based on the set standard state data to obtain corresponding analysis results, the analysis results including the equipment state and / or the environmental state, the equipment state is used to indicate the current biological attachment state and / or corrosion state of the marine observation equipment, and the environmental state is used to indicate whether the environment in which the marine observation equipment is currently located is in a stable state. When it is determined that there is a biological attachment state, the corrosion rate exceeds a corrosion rate threshold, and / or the environment in which the marine observation equipment is located is unstable, it is determined whether the current observation data is abnormal. The present application avoids the inaccuracy or instability that affects data acquisition when the marine observation equipment is in use, reduces the limitations that exist when the marine observation equipment is in use, and increases the use effect of the marine observation equipment.

Description

Technical Field

[0001] The present application relates to the field of ocean observation technology, and in particular to a state monitoring method, data acquisition system and equipment for ocean observation equipment. Background Art

[0002] Ocean observation equipment is an indispensable tool in marine scientific research and marine resource development. It helps scientists and engineers understand the marine environment, monitor ocean changes, and predict marine disasters. With the advancement of technology, ocean observation equipment is also constantly developing and innovating to solve the problem of observing the three-dimensional structure of sub-mesoscale processes in the ocean, improve typhoon forecasting capabilities, and draw high-precision seabed topography and landform maps.

[0003] However, the marine environment observation equipment in related technologies may be affected by factors such as seawater corrosion, biological attachment, severe weather and environment during long-term use, resulting in inaccurate or unstable observation data collected by the marine observation equipment, thereby affecting the feasibility of the marine observation equipment in actual use and limiting the use of the marine observation equipment. Summary of the Invention

[0004] The purpose of this application is to provide a state monitoring method, data acquisition system and equipment for ocean observation to solve the above technical problems.

[0005] To achieve the above objectives, this application provides the following solutions:

[0006] In a first aspect, the present application provides a method for monitoring the status of an ocean observation device, the method being applied to the ocean observation device, the method comprising:

[0007] Acquiring current status data of the ocean monitoring equipment through a set acquisition device, wherein the status data includes equipment status data and / or environmental status data;

[0008] Analyzing the state data based on the set standard state data to obtain corresponding analysis results, wherein the analysis results include a device state and / or an environmental state, wherein the device state is used to indicate whether biological adhesion currently exists on the ocean observation device and / or whether the corrosion rate exceeds a corrosion rate threshold, and the environmental state is used to indicate whether the environment in which the ocean observation device is currently located is in a stable state;

[0009] When it is determined that biological attachment currently exists on the ocean observation device, the corrosion rate exceeds a corrosion rate threshold, and / or the environment in which the ocean observation device is located is unstable, it is determined whether the current observation data is abnormal.

[0010] In some implementations of the first aspect, the device status data includes a device appearance picture, the standard status data includes an initial device picture, and analyzing the status data based on the set standard status data to obtain a corresponding analysis result includes:

[0011] The similarity between the initial image of the device and the image of the device appearance is calculated. When the similarity is greater than or equal to a set similarity threshold, it indicates that biological attachment exists outside the ocean monitoring device.

[0012] In some embodiments of the first aspect, the device status data includes a current thickness of the device, the standard status data includes an initial thickness of the device, and analyzing the status data based on the set standard status data to obtain a corresponding analysis result includes:

[0013] The corrosion rate of the marine monitoring equipment is calculated using the following formula:

[0014] Corrosion rate = (initial thickness of equipment - current thickness of equipment) / (initial thickness of equipment x service life);

[0015] The initial thickness of the equipment indicates the surface thickness of the ocean observation equipment when it is first used, the current thickness of the equipment indicates the surface thickness detected by the ocean observation equipment at the current moment, and the service life indicates the usage time of the ocean observation equipment.

[0016] When the corrosion rate is greater than or equal to the set corrosion rate threshold, it indicates that the current corrosion rate of the ocean observation equipment exceeds the corrosion rate threshold.

[0017] In some implementations of the first aspect, when the status data includes environmental data, and the standard status data includes standard environmental values, analyzing the status data based on the set standard status data to obtain the corresponding analysis result includes:

[0018] The difference between the environmental data and the standard environmental value is calculated. If the difference between the environmental data and the standard environmental value is within the set standard environmental data interval, it indicates that the current environment of the ocean observation equipment is stable.

[0019] In some embodiments of the first aspect, the environmental data includes air density, frontal area, and relative air velocity, and the method further includes:

[0020] The wind resistance value is calculated using the following formula:

[0021] F=(1 / 2)CPSV²;

[0022] Wherein, C is the air resistance coefficient when the ocean observation equipment is observing data, P is the air density when the ocean observation equipment is observing data, S is the windward area when the ocean observation equipment is observing data; V is the relative air speed when the ocean observation equipment is observing data, and F represents the wind resistance value when the ocean observation equipment is observing data;

[0023] Then the calculation of the difference between the environmental data and the standard environmental value includes:

[0024] The difference between the wind resistance value and the standard wind resistance value is calculated. If the difference between the wind resistance value and the standard wind resistance value is within the set standard wind resistance value interval, it indicates that the wind force is stable when the ocean observation equipment performs data observation.

[0025] In some embodiments of the first aspect, when it is determined that the ocean observation device is currently in a biological attachment state, the corrosion rate exceeds a corrosion rate threshold, and / or the environment in which the ocean observation device is located is unstable, determining whether the current observation data is abnormal includes:

[0026] Get current observation data and multiple historical observation data;

[0027] determining a mean of the historical observation data;

[0028] A difference between the mean and the observed data is determined. When the difference between the mean and the observed data is not within an observed data threshold interval, it indicates that the observed data at the current moment is abnormal.

[0029] In some implementations of the first aspect, when it is determined that the observation data at the current moment is abnormal, the method further includes:

[0030] When the difference between the mean and the observed data is a positive number, determining the difference between the observed data at the current moment and the difference as the compensated target observed value;

[0031] When the difference between the mean and the observation data is a negative number, the sum of the absolute values ​​of the observation data at the current moment and the difference between the mean and the observation data is determined as the compensated target observation value.

[0032] In some implementations of the first aspect, the similarity between the initial device image and the device appearance image is calculated using the following formula:

[0033]

[0034] in, S m ( x , y ) indicates the similarity between the device appearance picture and the device initial picture, and are the average pixel values ​​of the device appearance image and the device initial image, and is the variance between the device appearance image and the device initial image, is the covariance between the device appearance image and the device initial image, and is a constant.

[0035] In a second aspect, the present application provides a data acquisition system for ocean observation equipment, the data acquisition system comprising:

[0036] An acquisition module is used to acquire status data of the ocean monitoring equipment through a set acquisition device, wherein the status data includes equipment status data and / or environmental status data;

[0037] an analysis module, configured to analyze the state data based on the set standard state data to obtain corresponding analysis results, wherein the analysis results include a device state and / or an environmental state, wherein the device state is used to indicate whether biological adhesion currently exists on the ocean observation device and / or whether the corrosion rate exceeds a corrosion rate threshold, and the environmental state is used to indicate whether the environment in which the ocean observation device is currently located is in a stable state;

[0038] When it is determined that the ocean observation device currently has biological attachment, the corrosion rate exceeds a corrosion rate threshold, and / or the environment in which the ocean observation device is located is unstable, it is determined whether the current observation data is abnormal.

[0039] In a third aspect, the present application provides an ocean observation device, which includes: a memory, a processor, and a computer program stored in the memory and runnable on the processor, wherein the processor executes the computer program to implement the status monitoring method of the ocean observation device as described in the first aspect.

[0040] According to the specific embodiments provided in this application, the following technical effects are disclosed:

[0041] The present application provides a state monitoring method, data acquisition system and equipment for marine observation equipment. The method obtains equipment state data and / or environmental state data by utilizing acquisition equipment arranged in an area near the marine observation equipment, and then analyzes the acquired equipment state data and / or environmental state data based on the configured standard state data to determine whether there is biological attachment to the current appearance of the marine observation equipment, whether the corrosion rate exceeds the corrosion rate threshold, and / or whether the current environment of the marine observation equipment is in a stable state. That is, by implementing the state monitoring method, the present application can timely discover whether there is biological attachment to the marine observation equipment, whether the corrosion rate exceeds the threshold, and / or whether the current environment affects the stability of the marine observation equipment, thereby realizing real-time and accurate monitoring of the state of the marine observation equipment. Furthermore, when the above-mentioned various abnormal conditions exist, it is determined whether there is an abnormality in the current observation data of the marine observation equipment, so as to avoid inaccuracy or instability of the observation data caused by the use of the marine observation equipment, reduce the limitations of the use of the marine observation equipment, increase the use effect of the marine observation equipment, and ultimately ensure the accuracy and stability of the observed data. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a flow chart of a method for monitoring the state of ocean observation equipment according to some embodiments of the present application;

[0043] Figure 2 This is a schematic diagram of the structure of a data acquisition system for ocean observation equipment in some embodiments of the present application;

[0044] Figure 3 A schematic structural diagram of a processing device provided in some embodiments of the present application. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0046] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0047] It is understandable that the marine environment observation equipment in the relevant technologies may be affected by factors such as seawater corrosion and biological attachment during long-term use, resulting in inaccurate or unstable data. In addition, it is impossible to monitor in real time whether the marine observation equipment is corroded by seawater or biologically attached when the marine observation equipment is in use, which leads to limitations in the use of the marine observation equipment and affects the effectiveness of the use of the marine observation equipment.

[0048] In addition, when ocean observation equipment encounters severe weather conditions, such as strong winds and large waves, the stability of the ocean observation equipment will be affected. In particular, the wind and wave resistance of the ocean observation equipment cannot be monitored and tracked in real time, resulting in the data collection of the ocean observation equipment being easily affected by the environment, resulting in a decrease in the accuracy of data collection.

[0049] Finally, because the environment changes in real time, existing technologies cannot provide early warning of whether ocean observation equipment is abnormal. This makes it difficult for ocean observation equipment to make timely adjustments to severe weather when data collection is abnormal, affecting the feasibility of data collection by ocean observation equipment.

[0050] In the embodiments of the present application, in order to overcome the limitations of the above-mentioned related technologies, a data acquisition system is configured in the processor of the ocean observation equipment, that is, the chip, so that the data acquisition system includes various software functional modules, so that when the equipment executes each functional module, it can realize real-time monitoring and early warning of various abnormal situations occurring in the ocean observation equipment and the use environment, thereby ensuring the feasibility and stability of data acquisition of the ocean observation equipment and improving the accuracy of data acquisition.

[0051] like Figure 2 As shown, the data acquisition system may include a status monitoring subsystem, an abnormality prediction subsystem and an abnormality reminder subsystem.

[0052] The equipment status monitoring subsystem may include an equipment status monitoring terminal and an environment status monitoring terminal. The equipment status monitoring terminal is specifically used to obtain status data collected by the collection device and analyze and process it to determine whether the equipment has biological coverage, excessive corrosion rate, and / or whether the environment is stable.

[0053] The data collection equipment may include cameras and sensors. The cameras can be installed at intervals of 100 meters and at various angles. The installation locations are set at ocean observation stations and within two kilometers of these stations. The sensors can be mounted externally. The ocean observation equipment can be installed at the ocean observation station.

[0054] The environmental status monitoring terminal is used to obtain the environmental status data collected by the environmental monitoring equipment and analyze it to determine whether there is any abnormality in the environment where the ocean observation equipment is located.

[0055] The environmental monitoring equipment can include earthquake monitoring equipment, landslide monitoring equipment, debris flow monitoring equipment, ground subsidence monitoring equipment, and volcanic eruption monitoring equipment, as well as temperature sensors, humidity sensors, and light sensors. The collected environmental status data may include temperature, humidity, earthquake parameters, water temperature, salinity, depth, ocean currents, waves, tides, transparency, and earthquake, landslide, debris flow, ground subsidence, and volcanic eruption parameters obtained by the environmental monitoring equipment. By analyzing the environmental data for abnormalities in real time and calculating the wind resistance of the ocean observation equipment over time, it is possible to determine in real time whether the current environment is affecting the stability of the ocean observation equipment.

[0056] The anomaly prediction subsystem is used to predict whether the observed data is abnormal when the equipment condition monitoring subsystem or the environmental condition monitoring subsystem determines that the ocean observation equipment has biofouling, corrosion rates exceeding a threshold, and / or an unstable environment. If an anomaly is present, it can also compensate for it to ensure the accuracy of the ocean observation equipment's observation data. Specifically, this functional module can comprehensively predict the impact of environmental parameters on ocean observation equipment, taking into account geographic environment and weather changes, and predict in real time whether the ocean observation equipment's data collection is abnormal, and promptly compensate for any anomalies.

[0057] The abnormality alert subsystem is used to alert relevant personnel when abnormal observation data is determined, or when abnormal conditions persist after multiple compensations, so that relevant personnel can take appropriate measures. For example, the voice alarm module is used to issue a real-time voice alarm through a voice alarm when the system is abnormal, providing feedback for manual processing.

[0058] It is understandable that the monitoring range of each of the above-mentioned monitoring devices can be pre-set in the processor, and various standard status data can also be set.

[0059] It can also be understood that the above-mentioned subsystems of the data acquisition system are divided according to the data processing objects. The programs actually running in the ocean observation equipment can also be divided into modules according to other bases, such as according to the functions of the program segments.

[0060] In order to better understand the state monitoring method and data acquisition system for ocean observation equipment provided in the embodiments of the present application, the following is a detailed description with reference to the accompanying drawings.

[0061] Figure 1 FIG. 1 is a flow chart of a method for monitoring the state of ocean observation equipment according to an embodiment of the present application. Figure 1 As shown, the method is used for ocean observation equipment, and the method specifically includes:

[0062] S110, obtaining current status data of the ocean monitoring equipment through a set acquisition device, where the status data includes equipment status data and / or environment status data.

[0063] S120, based on the set standard status data, analyze the status data to obtain corresponding analysis results, which include equipment status and / or environmental status. The equipment status is used to indicate whether there is currently biological attachment to the ocean observation equipment and / or whether the corrosion rate exceeds the corrosion rate threshold. The environmental status is used to indicate whether the environment in which the ocean observation equipment is currently located is in a stable state.

[0064] S130, when it is determined that the ocean observation device currently has biological attachment, the corrosion rate exceeds the corrosion rate threshold, and / or the environment in which the ocean observation device is located is unstable, determine whether the current observation data is abnormal.

[0065] Specifically, in some embodiments of the present application, the state monitoring method of the marine observation equipment provided in the embodiments of the present application can monitor the external appearance and the environmental state in real time by utilizing the set acquisition equipment to ensure the stability of the equipment operation, so that when the external appearance is abnormal, such as seawater corrosion and biological attachment exceeding a certain range, or when major changes are found in the environment, timely measures can be taken to ultimately ensure the accuracy and stability of the observed data.

[0066] That is, firstly, the current status data of the ocean detection equipment can be obtained through the set acquisition equipment.

[0067] The status data may include equipment status data and / or environmental status data of the ocean monitoring equipment. The equipment status data may include an appearance picture of the ocean observation equipment and thickness dimension data of the ocean monitoring equipment.

[0068] The environmental status data may include environmental parameters of the environment in which the ocean observation equipment is located, such as temperature, humidity, seismic parameters, water temperature, salinity depth, ocean currents, waves, tides, and transparency.

[0069] Correspondingly, the acquisition device may include a device status acquisition device and an environment acquisition device.

[0070] The device status acquisition device may include a camera and a size sensor.

[0071] The cameras can be installed at intervals of 100 meters at ocean observation stations and locations within two kilometers of them. Furthermore, the cameras can be installed at different angles, allowing them to record and store both the appearance and initial images of the ocean observation equipment being monitored at the moment in real time.

[0072] The sensor may be a distance sensor that may be installed on ocean monitoring equipment to collect thickness dimension data of the equipment in real time.

[0073] The environmental collection equipment may include earthquake monitoring equipment, landslide monitoring equipment, debris flow monitoring equipment, ground subsidence monitoring equipment, volcanic eruption monitoring equipment, temperature sensors, humidity sensors, light sensors, etc.

[0074] Furthermore, based on the set standard status data, the collected device status data and environmental status data can be analyzed to obtain corresponding analysis results.

[0075] Correspondingly, the analysis result includes the device status corresponding to the device status data and / or the environmental status corresponding to the environmental status data. The device status is used to indicate the current biofouling and / or corrosion status of the ocean observation device, and the environmental status is used to indicate whether the environment in which the ocean observation device is currently located is stable.

[0076] Finally, if the above steps determine that the ocean observation device is currently in a state of biofouling, the corrosion rate exceeds the corrosion rate threshold, and / or the environment in which the ocean observation device is located is unstable, it can be determined whether the observation data currently collected by the ocean observation device is abnormal. In other words, if the above steps determine that the current state of the ocean observation device is unstable or abnormal, it may affect the accuracy of the collected observation data. At this time, in order to ensure the accuracy and stability of the observation data, the stability of the current observation data will be analyzed to determine whether there is any abnormality.

[0077] It can be understood that the state monitoring method of the marine observation equipment provided in the embodiment of the present application uses an acquisition device set in an area near the marine observation equipment to obtain equipment state data and / or environmental state data, and then analyzes the acquired equipment state data and / or environmental state data based on the configured standard state data to determine whether there is biological attachment on the current appearance of the marine observation equipment, whether the corrosion rate exceeds the corrosion rate threshold, and / or whether the current environment of the marine observation equipment is in a stable state. That is, by implementing the state monitoring method, the present application can timely discover whether the marine observation equipment is corroded by seawater, biological attachment and / or whether the current environment affects the stability of the marine observation equipment, avoid inaccurate or unstable data acquisition caused by the marine observation equipment when in use, reduce the limitations of the marine observation equipment when in use, increase the use effect of the marine observation equipment, and ultimately ensure the accuracy and stability of the observed data.

[0078] Optionally, in some embodiments of the present application, the device status data may specifically include a device appearance picture, and the standard status data may include an initial device picture. Based on the set standard status data, the status data is analyzed to obtain corresponding analysis results including:

[0079] The similarity between the initial image of the device and the image of the device appearance is calculated. When the similarity is greater than or equal to a set similarity threshold, it indicates that biological attachment exists on the outside of the ocean monitoring device.

[0080] Specifically, in this embodiment, the processor in the ocean observation device can process and analyze the collected device appearance image based on the set initial device image of the ocean observation device. That is, the processor can calculate the similarity between the set initial device image and the current device appearance image to indicate the biological adhesion status of the marine monitoring device appearance.

[0081] For example, in some embodiments of the present application, the following formula may be used to calculate the similarity between the current device appearance image and the device initial image:

[0082]

[0083] in, S m ( x , y ) represents the similarity between the current appearance picture and the initial picture, and are the pixel means of the shape image x and the initial image y, and is the variance between the shape image and the initial image, is the covariance of the shape image and the initial image, and is a constant used to avoid the denominator being zero.

[0084] In practice, if S m ( x , y ) is greater than or equal to the set similarity threshold (e.g. 0), it means that there is no biological attachment to the ocean observation equipment. S m ( x , y If it is not equal to 0, it means that there are biological attachments on the ocean observation equipment.

[0085] Optionally, in some embodiments of the present application, the device status data may further include the current thickness of the device, and correspondingly, the standard status data includes the initial thickness of the device.

[0086] In this embodiment, based on the set standard state data, the state data is analyzed to obtain corresponding analysis results. Specifically, the corrosion rate of the ocean monitoring equipment can be calculated using the following formula:

[0087] Corrosion rate = (initial thickness of equipment - current thickness of equipment) / (initial thickness of equipment x service life);

[0088] Among them, the initial thickness of the equipment indicates the surface thickness of the ocean observation equipment when it is first used, the current thickness of the equipment indicates the surface thickness detected by the ocean observation equipment at the current moment, the service life indicates the usage time of the ocean observation equipment, and the unit of corrosion rate is usually mm / day.

[0089] Correspondingly, when the corrosion rate is greater than or equal to the set corrosion rate threshold, it indicates that the corrosion state of the ocean observation equipment is abnormal.

[0090] It can be understood that by capturing the appearance of the ocean observation equipment in real time and conducting seawater corrosion detection, by comparing the appearance pictures of the ocean observation equipment in real time and identifying biological attachments from multiple angles, it is possible to promptly determine whether the ocean observation equipment is subject to seawater corrosion or abnormal biological attachment. It is possible to promptly detect abnormalities in the ocean observation equipment caused by seawater corrosion or biological attachment, thereby avoiding inaccurate or unstable data collection caused by the use of the ocean observation equipment. In addition, by real-time monitoring of the impact of seawater corrosion or biological attachment on the ocean observation equipment when the ocean observation equipment is in use, the limitations of the use of the ocean observation equipment can be reduced, and the use effect of the ocean observation equipment can be increased.

[0091] In addition, in some embodiments of the present application, when it is determined that the marine observation equipment has biological attachment and the corrosion rate exceeds a threshold, the reporting system issues an alarm in real time to remind the staff to take measures.

[0092] In practice, a regular early warning unit can be configured in the data acquisition system to perform the early warning function.

[0093] Optionally, in order to ensure the stability of the working state of the ocean observation equipment, in some embodiments of the present application, the surrounding environment can also be monitored in real time by collecting nearby environmental status data. That is, when the status data includes environmental data and the standard status data includes standard environmental values, the status data is analyzed based on the set standard status data, and the corresponding analysis results include:

[0094] The difference between the environmental data and the standard environmental value is calculated. If the difference between the environmental data and the standard environmental value is within the set standard environmental data interval, it indicates that the current environment of the ocean observation equipment is stable.

[0095] Specifically, in the embodiment of the present application, the environmental status data of the ocean observation equipment can be collected in real time, and by setting a data collection standard model, that is, a standard environmental value, the environmental parameters in the environmental status data can be analyzed in real time to see whether they are abnormal, and finally it can be analyzed whether the current environment affects the stability of the ocean observation equipment.

[0096] Among them, the environmental status data may include temperature, humidity, seismic parameters, water temperature, salinity depth, ocean currents, waves, tides, transparency, etc.

[0097] Correspondingly, the environmental monitoring equipment may include earthquake monitoring equipment, landslide monitoring equipment, debris flow monitoring equipment, ground subsidence monitoring equipment, volcanic eruption monitoring equipment, temperature sensors, humidity sensors, and light sensors.

[0098] In practice, standard environmental values ​​for data collection are set as a basis for judgment to determine whether the current environment may affect the stability of ocean observation equipment.

[0099] The setting of the data acquisition standard environment value can be obtained according to the data acquisition standard model.

[0100] The data tracker in the processor can track the environmental parameters of the ocean observation equipment during data collection in real time and calculate the difference between the environmental parameters and the standard environmental values. If the calculated difference is within the set standard environmental data range, it means that the current environment of the ocean observation equipment is stable. Otherwise, it means that the data collection environment of the ocean observation equipment at the current moment is abnormal.

[0101] For example, if the standard environmental data interval is (-2~2), when the difference is less than or equal to 2 or greater than or equal to -2, it means that the data collection environment of the ocean observation equipment at the current moment is normal. If the difference is greater than 2 or less than -2, it means that the data collection environment of the ocean observation equipment at the current moment is abnormal.

[0102] Optionally, in other embodiments of the present application, in order to achieve more comprehensive monitoring of the environment in which the ocean observation equipment is located, environmental parameters such as air density, windward area, and relative air speed can also be used to analyze the current wind resistance value of the ocean observation equipment.

[0103] Specifically, the wind resistance value can be calculated by the following formula:

[0104] F=(1 / 2)CPSV²;

[0105] Among them, C is the air resistance coefficient when the ocean observation equipment is conducting data observation, P is the air density when the ocean observation equipment is conducting data observation, S is the windward area when the ocean observation equipment is conducting data observation; V is the relative air speed when the ocean observation equipment is conducting data observation, and F represents the wind resistance value when the ocean observation equipment is conducting data observation.

[0106] Correspondingly, the difference between the environmental data and the standard environmental value is calculated, that is, the difference between the wind resistance value and the standard wind resistance value is calculated. If the difference is within the set standard wind resistance value range, it means that the wind force is stable when the ocean observation equipment performs data observation.

[0107] For example, the wind resistance warning unit in the processor chip sets the standard wind resistance parameters of the ocean observation equipment, and the difference between the wind resistance value at the current moment and the standard wind resistance parameter can be calculated. If the difference is less than or equal to 0.2 or greater than or equal to -0.2, it means that the stability of the data collection of the ocean observation equipment at the current moment is normal. If the difference is greater than 0.2 or less than -0.2, it means that the stability of the data collection of the ocean observation equipment at the current moment is abnormal. It can analyze in real time whether the current environment affects the stability of the ocean observation equipment, which not only enables the wind and wave resistance of the ocean observation equipment to be monitored and tracked in real time, but also reduces the impact of the environment on the data collection of the ocean observation equipment.

[0108] Optionally, in some embodiments of the present application, a geographic combination unit may be configured to combine the data collected by marine observation equipment with geographic information through GIS technology, so that when collecting data and judging anomalies of marine monitoring equipment, the geographical environment can be combined in real time to increase the comprehensiveness and accuracy of data collection.

[0109] It can be understood that in the embodiment of the present application, by collecting real-time environmental status data of the ocean observation equipment in real time and setting a data collection standard model, by real-time analysis of whether the environmental parameters are abnormal, and real-time calculation of the wind resistance of the ocean observation equipment as it decreases with age, it is analyzed in real time whether the current environment has an impact on the stability of the ocean observation equipment, and whether the current environmental parameters affect the accuracy of data collection. When the ocean observation equipment encounters severe weather conditions, it is possible to analyze in real time whether the current environment has an impact on the stability of the ocean observation equipment. This not only enables the wind and wave resistance of the ocean observation equipment to be monitored and tracked in real time, but also reduces the impact of the environment on the data collection of the ocean observation equipment. Increase the accuracy of data collection; by receiving the real-time impact results of environmental parameters on the current ocean monitoring equipment in real time, and combining the impact results of the current environmental parameters with the recorded data of the historical environment, comprehensively predict the impact of environmental parameters on the ocean observation equipment, and combine the geographical environment and weather changes to predict in real time whether the data collection of the ocean observation equipment is abnormal, and make timely data compensation when an abnormality occurs to ensure that the data collection of the ocean observation equipment is continuously feasible, so that the data collection system based on the ocean observation equipment can give early warning of whether the ocean observation equipment is abnormal, and ensure that the ocean observation equipment can make timely adjustments to bad weather when data collection is abnormal, thereby ensuring the feasibility and stability of data collection of the ocean observation equipment.

[0110] Optionally, in an embodiment of the present application, based on real-time monitoring of the status of the ocean observation equipment, when the monitoring results indicate that there is an abnormality in the status, further judgment can be made on the current observation data of the ocean observation equipment to determine whether there is an abnormality in the observation data, and if there is an abnormality, compensation processing can be performed.

[0111] That is, when it is determined that the ocean observation equipment is currently in a state of biological attachment, the corrosion rate exceeds the corrosion rate threshold, and / or the environment in which the ocean observation equipment is located is unstable, the abnormality of the current observation data is judged, specifically including:

[0112] S130, obtaining current observation data and multiple historical observation data.

[0113] S140, determining the mean of the historical observation data.

[0114] S150, determining the difference between the mean and the observed data. When the difference between the mean and the observed data is not within the observed data threshold range, it indicates that the observed data at the current moment is abnormal.

[0115] Specifically, in some embodiments of the present application, an abnormality prediction subsystem configured in a data acquisition system includes an observation data acquisition module, an abnormality prediction module, an error calculation module, and a data compensation module.

[0116] Among them, the observation data acquisition module is used to receive in real time through a data receiver the abnormal results of the equipment status and / or environmental parameters in the status monitoring subsystem for ocean observation equipment data acquisition.

[0117] Furthermore, when it is determined by the condition monitoring subsystem that an abnormality currently exists, the abnormality prediction module can predict whether data collection is affected based on the abnormal result at the current moment.

[0118] First, the current observation data and multiple historical observation data can be obtained, and then the remote observation data at the current moment can be compared with the mean of multiple historical observation data.

[0119] For example, the average value of the observation data at the current moment can be calculated with two historical data, three historical data, and four historical data in sequence, and the average standard value can be set.

[0120] Furthermore, the difference between the three average values ​​obtained can be calculated, that is, the difference between the average value and the observation data at the current moment is determined. When the difference is not within the observation data threshold range, it indicates that the observation data at the current moment is abnormal.

[0121] For example, if the observation data threshold interval is (-0.01~0.01), if the difference is less than or equal to 0.01 and greater than or equal to -0.01, it means that the data collection of the ocean observation equipment has no impact. If the difference is greater than 0.01 or less than -0.01, it means that the data collection of the ocean observation equipment has an impact. Combined with the impact results of the current environmental parameters and the recorded data of the historical environment, the impact of the environmental parameters on the ocean observation equipment is comprehensively predicted, and combined with the geographical environment and weather changes, it is predicted in real time whether the data collection of the ocean observation equipment is abnormal.

[0122] It can be understood that in the embodiments of the present application, the status monitoring results in the above-mentioned embodiments, such as abnormal environmental parameter results and abnormal wind resistance stability results, can be combined to ensure the accuracy of the data acquisition system of the marine observation equipment during data collection, and the noise reduction processing through existing technology during data collection can also achieve synergy with the present application.

[0123] Optionally, in some embodiments of the present application, when it is determined that the current observation data of the ocean observation equipment is abnormal, the observation data can also be compensated based on the determined difference and mean, that is, the data compensation module configured in the data acquisition system includes a data compensation unit and a compensation tracking unit.

[0124] Correspondingly, the method further includes:

[0125] When the difference between the mean and the observed data is a positive number, the difference between the observed data at the current moment and the difference is determined as the target observed value after compensation.

[0126] When the difference between the mean and the observed data is a negative number, the sum of the observed data at the current moment and the absolute value of the difference is determined as the compensated target observed value.

[0127] Specifically, the data compensation unit is used to perform data compensation in real time according to the prediction result, that is, data compensation can be performed according to the difference in the average value. If the difference is positive, the corresponding data value is reduced, and if the difference is negative, the corresponding data value is increased.

[0128] Furthermore, the compensation tracking unit is used to track the data collection prediction results after data compensation in real time through the data tracker, and perform difference calculation. If the difference is equal to 0, it means that the data compensation is invalid, and the reporting system issues an alarm reminder and performs data compensation a second time. If the difference is not equal to 0, it means that the data compensation is valid, and the data tracker can continue to track to ensure that the data collection of the ocean observation equipment is continuously feasible, so that the data collection system based on the ocean observation equipment can give early warning of whether the ocean observation equipment is abnormal, and ensure that the ocean observation equipment can make timely adjustments to bad weather when data collection is abnormal, thereby ensuring the feasibility and stability of data collection of the ocean observation equipment.

[0129] On the other hand, Figure 2 As shown, the present application also provides a data acquisition system for marine observation equipment, the data acquisition system includes a status monitoring subsystem, an abnormality early warning subsystem and an abnormality reminder subsystem, the status monitoring subsystem includes an acquisition module and an analysis module:

[0130] An acquisition module, namely, an equipment status data acquisition module and an environment status data acquisition module, is used to acquire the current status data of the ocean monitoring equipment through a set acquisition device, wherein the status data includes equipment status data and / or environment status data;

[0131] The analysis module, namely the equipment status data analysis module and the environmental status analysis module, is used to analyze the status data based on the set standard status data to obtain corresponding analysis results. The analysis results include equipment status and / or environmental status. The equipment status is used to indicate whether there is currently biological attachment on the ocean observation equipment and / or whether the corrosion rate exceeds the corrosion rate threshold. The environmental status is used to indicate whether the environment in which the ocean observation equipment is currently located is in a stable state.

[0132] The abnormality warning subsystem is used to determine whether the current observation data is abnormal when it is determined that there is biological attachment on the ocean observation equipment, the corrosion rate exceeds the corrosion rate threshold and / or the environment in which the ocean observation equipment is located is unstable.

[0133] Optionally, in the data acquisition system for ocean observation equipment provided in this application, the equipment status data includes an image of the equipment appearance, the standard status data includes an initial image of the equipment, and the analysis module is specifically configured to:

[0134] The similarity between the initial image of the device and the image of the device appearance is calculated. When the similarity is greater than or equal to a set similarity threshold, it indicates that biological attachment exists outside the ocean monitoring device.

[0135] Optionally, in the data acquisition system of the ocean observation equipment of some embodiments of the present application, the equipment status data includes the current thickness of the equipment, the standard status data includes the initial thickness of the equipment, and the analysis module is specifically configured to:

[0136] The corrosion rate of the marine monitoring equipment is calculated using the following formula:

[0137] Corrosion rate = (initial thickness of equipment - current thickness of equipment) / (initial thickness of equipment x service life);

[0138] The initial thickness of the equipment indicates the surface thickness of the ocean observation equipment when it is first used, the current thickness of the equipment indicates the surface thickness detected by the ocean observation equipment at the current moment, and the service life indicates the usage time of the ocean observation equipment.

[0139] When the corrosion rate is greater than or equal to the set corrosion rate threshold, it indicates that the current corrosion rate of the ocean observation equipment exceeds the corrosion rate threshold.

[0140] Optionally, in the data acquisition system of the ocean observation equipment of some embodiments of the present application, when the state data includes environmental data, and the standard state data includes standard environmental values, the analysis module is specifically configured to:

[0141] The difference between the environmental data and the standard environmental value is calculated. If the difference between the environmental data and the standard environmental value is within the set standard environmental data interval, it indicates that the current environment of the ocean observation equipment is stable.

[0142] Optionally, in the data acquisition system of the ocean observation equipment of some embodiments of the present application, the environmental data includes air density, windward area, and relative air speed, and the data acquisition system further includes:

[0143] The calculation module is used to calculate the wind resistance value using the following formula:

[0144] F=(1 / 2)CPSV²;

[0145] Wherein, C is the air resistance coefficient when the ocean observation equipment is observing data, P is the air density when the ocean observation equipment is observing data, S is the windward area when the ocean observation equipment is observing data; V is the relative air speed when the ocean observation equipment is observing data, and F represents the wind resistance value when the ocean observation equipment is observing data;

[0146] The analysis module is specifically used to calculate the difference between the wind resistance value and the standard wind resistance value. If the difference between the wind resistance value and the standard wind resistance value is within the set standard wind resistance value range, it means that the wind force is stable when the ocean observation equipment performs data observation.

[0147] Optionally, in the data acquisition system of the ocean observation equipment of some embodiments of the present application, when it is determined that the ocean observation equipment is currently in a biological attachment state, the corrosion rate exceeds a corrosion rate threshold, and / or the environment in which the ocean observation equipment is located is unstable, the abnormality warning subsystem includes:

[0148] Observation data acquisition module, used to obtain current observation data and multiple historical observation data;

[0149] an error calculation module, configured to determine a mean of the historical observation data and to determine a difference between the mean and the observation data;

[0150] The anomaly prediction module is used to determine that the current observation data is abnormal when the difference is not within the observation data threshold range.

[0151] Optionally, in the data acquisition system of the ocean observation equipment of some embodiments of the present application, when it is determined that the observation data at the current moment is abnormal, the abnormality warning subsystem further includes:

[0152] a data compensation module, configured to, when the difference between the mean and the observed data is a positive number, determine the difference between the observed data at the current moment and the difference as a compensated target observed value;

[0153] It is also used to determine the sum of the current moment observation data and the absolute value of the difference when the difference between the mean and the observation data is a negative number, as the compensated target observation value.

[0154] Optionally, in the data acquisition system of the ocean observation equipment of some embodiments of the present application, the analysis module specifically calculates the similarity between the initial image of the equipment and the image of the equipment appearance by the following formula:

[0155]

[0156] in, S m ( x , y) indicates the similarity between the device appearance picture and the device initial picture, and are the average pixel values ​​of the device appearance image and the device initial image, and is the variance between the device appearance image and the device initial image, is the covariance between the device appearance image and the device initial image, and is a constant.

[0157] In an exemplary embodiment, a processing device is further provided, which includes at least a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0158] The above-mentioned processing equipment, i.e., ocean observation equipment, can be exemplarily a server or a terminal, and its internal exemplary structure is as follows: Figure 3 As shown. The processing device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O) and a communication interface. The processor, memory and input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the processing device is used to provide computing and control capabilities. The memory of the processing device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the processing device is used to store the data and programs involved in the aforementioned embodiments. The input / output interface of the processing device is used to exchange information between the processor and an external device. The communication interface of the processing device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, it implements the status monitoring method of the ocean observation equipment in the aforementioned embodiments.

[0159] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the processing device to which the solution of the present application is applied. The specific processing device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0160] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0161] In an exemplary embodiment, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0162] It can be understood that the present application provides a state monitoring method, data acquisition system and equipment for marine observation equipment. First, a data acquisition service receiving end based on the marine observation equipment is configured to enter the real-time monitoring end. By capturing the appearance of the marine observation equipment in real time and performing seawater corrosion detection, the marine observation equipment is compared in real time with the appearance picture and multi-angle biological attachment identification to promptly determine whether the marine observation equipment is corroded by seawater or has abnormal biological attachment. It can promptly discover whether the seawater corrosion rate of the marine observation equipment exceeds the corrosion rate threshold or the biological attachment is abnormal, thereby avoiding inaccurate or unstable data acquisition caused by the use of the marine observation equipment. When the marine observation equipment is in use, the impact of seawater corrosion or biological attachment on the marine observation equipment is monitored in real time, thereby reducing the limitations of the marine observation equipment in use and increasing the use effect of the marine observation equipment. By real-time acquisition of real-time environmental parameters of the marine observation equipment and setting a data acquisition standard model, by real-time analysis of whether the environmental parameters are abnormal, and by real-time calculation of the wind resistance of the marine observation equipment as the service life decreases, it is possible to analyze in real time whether the current environment is harmful to the ocean. The stability of the observation equipment is affected, and the accuracy of data collection is determined. When the ocean observation equipment encounters severe weather conditions, it can analyze in real time whether the current environment affects the stability of the ocean observation equipment. This not only enables the ocean observation equipment's ability to resist wind and waves to be monitored and tracked in real time, but also reduces the impact of the environment on the ocean observation equipment during data collection, thereby increasing the accuracy of data collection. By receiving the real-time impact results of environmental parameters on the current ocean monitoring equipment in real time, and combining the impact results of current environmental parameters with the recorded data of historical environment, the impact of environmental parameters on the ocean observation equipment is comprehensively predicted. In combination with the geographical environment and weather changes, it is predicted in real time whether the data collection of the ocean observation equipment is abnormal, and data compensation is performed in time when an abnormality occurs, to ensure that the data collection of the ocean observation equipment is continuously feasible, so that the data collection system based on the ocean observation equipment can give early warning of whether the ocean observation equipment is abnormal, and ensure that the ocean observation equipment can make timely adjustments to severe weather when data collection is abnormal, thereby ensuring the feasibility and stability of data collection of the ocean observation equipment.

[0163] Those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments, or the functions of the modules in the above-described determination device, can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the above-described method embodiments. Any reference to a memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0164] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0165] This document uses specific examples to illustrate the principles and implementation methods of this application. The description of the above examples is only intended to help understand the method and core concept of this application. At the same time, for those skilled in the art, based on the concept of this application, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for monitoring the status of ocean observation equipment, characterized in that: The method is used for ocean observation equipment, and the method comprises: Acquire the current status data of the ocean monitoring equipment through the provided acquisition equipment, the status data including equipment status data and environmental status data, the equipment status data including equipment appearance picture and current equipment thickness, the environmental status data including air density, windward area, and relative air speed; Calculating the similarity between the initial image of the device and the image of the device appearance, and when the similarity is greater than or equal to a set similarity threshold, it indicates that biological attachment exists on the surface of the marine monitoring device; The corrosion rate of the marine monitoring equipment is calculated using the following formula: Corrosion rate = (initial thickness of equipment - current thickness of equipment) / (initial thickness of equipment x service life). When the corrosion rate is greater than or equal to the set corrosion rate threshold, it means that the current corrosion rate of the ocean observation equipment exceeds the corrosion rate threshold. The wind resistance value is calculated using the following formula: F=(1 / 2)CPSV²; Wherein, C is the air resistance coefficient when the ocean observation equipment is observing data, P is the air density when the ocean observation equipment is observing data, S is the windward area when the ocean observation equipment is observing data; V is the relative air speed when the ocean observation equipment is observing data, and F represents the wind resistance value when the ocean observation equipment is observing data; Calculating a difference between the wind resistance value and a set standard wind resistance value; if the difference between the wind resistance value and the standard wind resistance value is within a set standard wind resistance value interval, it indicates that the wind force is stable when the ocean observation equipment is performing data observation; When it is determined that biological attachment currently exists on the ocean observation equipment, the corrosion rate exceeds a corrosion rate threshold, or the difference between the wind resistance value and the standard wind resistance value is not within a set standard wind resistance value interval, obtaining current observation data and a plurality of historical observation data; determining a mean of the historical observation data; Determine a difference between the mean and the observed data, and when the difference between the mean and the observed data is not within an observed data threshold interval, it indicates that the observed data at the current moment is abnormal; When it is determined that the observation data at the current moment is abnormal, and when the difference between the mean and the observation data is a positive number, determining the difference between the observation data at the current moment and the difference as the target observation value after compensation; When the difference between the mean and the observation data is a negative number, the sum of the absolute values ​​of the differences between the observation data at the current moment and the mean and the observation data is determined as the compensated target observation value.

2. The method for monitoring the state of ocean observation equipment according to claim 1, characterized in that: The similarity between the initial image of the device and the image of the device appearance is calculated using the following formula: ； in, S m ( x , y ) indicates the similarity between the device appearance picture and the device initial picture, and are the average pixel values ​​of the device appearance image and the device initial image, and is the variance between the device appearance image and the device initial image, is the covariance between the device appearance image and the device initial image, and is a constant.

3. A data acquisition system for ocean observation equipment, characterized in that: The data acquisition system includes: An acquisition module is used to acquire status data of the ocean monitoring equipment through a set acquisition device, wherein the status data includes equipment status data and environmental status data. The equipment status data includes an image of the equipment appearance and the current thickness of the equipment, and the environmental status data includes air density, windward area, and relative air speed; an analysis module, configured to calculate a similarity between an initial image of the device and an image of the device's appearance, and when the similarity is greater than or equal to a set similarity threshold, indicating that biological attachment exists on the surface of the marine monitoring device; The corrosion rate of the marine monitoring equipment is calculated using the following formula: Corrosion rate = (initial thickness of equipment - current thickness of equipment) / (initial thickness of equipment x service life). When the corrosion rate is greater than or equal to the set corrosion rate threshold, it means that the current corrosion rate of the ocean observation equipment exceeds the corrosion rate threshold. The wind resistance value is calculated using the following formula: F=(1 / 2)CPSV²; Wherein, C is the air resistance coefficient when the ocean observation equipment is observing data, P is the air density when the ocean observation equipment is observing data, S is the windward area when the ocean observation equipment is observing data; V is the relative air speed when the ocean observation equipment is observing data, and F represents the wind resistance value when the ocean observation equipment is observing data; Calculating the difference between the wind resistance value and a set standard wind resistance value; if the difference between the wind resistance value and the standard wind resistance value is within the set standard wind resistance value interval, it indicates that the wind force is stable when the ocean observation device performs data observation; when it is determined that biological attachment currently exists on the ocean observation device, the corrosion rate exceeds a corrosion rate threshold, or the difference between the wind resistance value and the standard wind resistance value is not within the set standard wind resistance value interval, obtaining current observation data and a plurality of historical observation data; determining a mean of the historical observation data; Determine a difference between the mean and the observed data, and when the difference between the mean and the observed data is not within an observed data threshold interval, it indicates that the observed data at the current moment is abnormal; When it is determined that the observation data at the current moment is abnormal, and when the difference between the mean and the observation data is a positive number, determining the difference between the observation data at the current moment and the difference as the target observation value after compensation; When the difference between the mean and the observation data is a negative number, the sum of the absolute values ​​of the differences between the observation data at the current moment and the mean and the observation data is determined as the compensated target observation value.

4. An ocean observation device, characterized in that: The ocean observation device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor executes the computer program to implement the condition monitoring method for the ocean observation device according to claim 1 or 2.

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