Multifunctional navigation mark and energy online monitoring system thereof

Abstract

The invention belongs to the technical field of navigation mark energy monitoring, and particularly relates to a multifunctional navigation mark and an energy online monitoring system thereof, comprising a data acquisition module, a transmission module, a data storage module, a calibration module, an analysis and comparison module, an evaluation module and a control module. Information such as single voltage, total current, cell pole temperature, internal resistance, SOC and the like of navigation mark energy is collected and processed through a calibration module, an analysis and comparison module, an evaluation module and a control module, the energy state can be monitored in real time, an alarm signal is generated in time, monitoring level classification management can be conducted on monitored navigation marks, and the energy management efficiency is improved. And the attenuation trend of the corresponding navigation mark energy is predicted, the remaining life of the navigation mark energy is provided according to the prediction result, and an important basis is provided for precise and efficient management of the navigation mark energy.

Description

Technical Field

[0001] The present invention belongs to the technical field of navigation mark energy monitoring, and particularly relates to a multifunctional navigation mark and its energy online monitoring system. Background Art

[0002] A navigation mark is short for an aid to navigation mark, which refers to a mark indicating the direction, boundary and navigational obstruction of a waterway, including river crossing marks, coastal marks, leading marks, transitional leading marks, end leading marks, side marks, left and right passing marks, position indicating marks, flood marks, bridge and culvert marks, etc. It is an artificial mark to help guide ship navigation, positioning and indicate navigational obstructions and give warnings.

[0003] At present, most of the navigation marks used in sea areas are powered by storage batteries. Therefore, the stable and continuous supply of energy by the storage battery plays an indispensable role in the normal use of navigation marks. Currently, generally, after the navigation mark station receives an alarm of abnormal voltage of the navigation mark, it will start the navigation mark emergency response to repair the abnormal navigation mark. According to incomplete statistics, about 50% of the mileage of navigation mark ships and inspection vehicles per year is generated due to the execution of navigation mark emergency response tasks, and repairing the energy system failure of navigation marks is a very representative one in the navigation mark emergency response tasks.

[0004] For the above reasons, how to monitor the state of the navigation mark energy system in real time, efficiently and accurately, and change passive repair to active maintenance is one of the important tasks to improve the navigation mark emergency support task. Based on this, the present invention proposes an energy online monitoring system and a multifunctional navigation mark applying this system. Summary of the Invention

[0005] The purpose of the present invention is to provide a multifunctional navigation mark and its energy online monitoring system. By collecting information such as the single-cell voltage, total current, cell pole temperature, internal resistance, SOC, etc. of the navigation mark energy, and processing through a calibration module, an analysis and comparison module, an evaluation module, and a control module, it can not only monitor the energy state in real time and generate an alarm signal in time, but also classify and manage the monitoring levels of the monitored navigation marks, predict the attenuation trend of the corresponding navigation mark energy, and provide the remaining life of the navigation mark energy according to the prediction result, providing an important basis for the precise and efficient management of navigation mark energy.

[0006] The technical solutions adopted by the present invention are specifically as follows:

[0007] An energy online monitoring system includes a data acquisition module, a transmission module, a data storage module, a calibration module, an analysis and comparison module, an evaluation module, and a control module:

[0008] The data acquisition module is used to collect energy parameter information, where the parameter information includes single-cell voltage, total current, cell pole temperature, internal resistance, SOC;

[0009] The transmission module is used to transmit the collected energy parameter information to the workstation monitoring system;

[0010] The data storage module is used to store relevant data information, including the collected energy parameter information;

[0011] The calibration module is used to calibrate the parameter information collected by the data acquisition module to obtain calibrated parameter information.

[0012] The analysis and comparison module is used to compare and analyze the calibrated parameter information with the critical parameter threshold, and based on the analysis result, obtain the usage status, where the usage status includes an alarm status and a sustainable status;

[0013] The evaluation module is used to evaluate the change trend of the energy system through the evaluation module when the analysis and comparison module obtains the usage status as the sustainable status according to the analysis result, and judge the preset time and monitoring level for the energy system to reach the critical parameter threshold based on the change trend;

[0014] The control module is used to control the system flow, receive and process relevant data, and send relevant instructions.

[0015] In the preferred technical solution of the present invention, the steps for the analysis and comparison module to compare and analyze the calibrated parameter information with the critical parameter threshold and obtain the usage status based on the analysis result are as follows:

[0016] Compare the calibrated parameter information with the critical parameter threshold;

[0017] If the calibrated parameter information exceeds the critical parameter threshold, the control module immediately outputs an alarm signal to generate an alarm status;

[0018] If the calibrated parameter information does not exceed the critical parameter threshold, the control module outputs a sustainable status.

[0019] In the preferred technical solution of the present invention, the steps for the evaluation module to evaluate the change trend of the energy system through the evaluation module and judge the preset time and monitoring level for the energy system to reach the critical parameter threshold based on the change trend when the analysis and comparison module obtains the usage status as the sustainable status according to the analysis result are as follows:

[0020] Input the calibrated parameter information into the evaluation module, and obtain the trend change value of the calibrated parameter information according to the trend evaluation function of the evaluation module;

[0021] If the trend change value of the calibrated parameter information is greater than the standard trend change value, it indicates that the battery performance degradation rate becomes faster. The battery should be included in the red monitoring level, and the preset time for the battery performance to reach the critical parameter threshold should be analyzed accordingly;

[0022] If the trend change value of the calibration parameter information is less than the standard trend change value, it indicates that the battery performance degradation rate slows down. The battery should be included in the green monitoring level, and the preset time for the battery to reach the critical parameter threshold should be analyzed accordingly.

[0023] If the trend change value of the calibration parameter information is equal to the standard trend change value, it indicates that the battery performance degradation rate is normal. The battery should be included in the yellow monitoring level and monitored according to the normal cycle for the battery performance to reach the critical parameter threshold.

[0024] In a preferred technical solution of the present invention, the steps for the calibration module to calibrate the parameter information collected by the data acquisition module to obtain the calibration parameter information are as follows:

[0025] Obtain a number of battery test samples under the same quality conditions, obtain multiple monitoring parameter information values and measured parameter information values at the same interval time, and summarize the several monitoring parameter information values and measured parameter information values into a database.

[0026] Obtain the calibration function between the measured parameter information value and the monitoring parameter information value based on the monitoring parameter information value and the measured parameter information value in the database.

[0027] Obtain the calibration parameter information value by inputting the monitoring parameter information value into the calibration function.

[0028] In a preferred technical solution of the present invention, the specific steps for inputting the calibration parameter information into the evaluation module and obtaining the trend change value of the calibration parameter information according to the trend evaluation function of the evaluation module are as follows:

[0029] Obtain a number of battery test samples of the same quality, construct a monitoring period, set multiple monitoring time points at equal intervals within the monitoring period, and obtain the monitoring parameter information value at each monitoring time point. After correcting all the monitoring parameter information values through the calibration function, obtain the corrected parameter information value, and summarize all the corrected parameter information values and the corresponding monitoring time points into a database, where the monitoring period covers the entire cycle of the battery from the optimal parameter value to the critical parameter threshold.

[0030] Obtain the trend evaluation model based on the several calibration parameter information values and the corresponding monitoring time points in the database, obtain the trend evaluation function according to the evaluation model, and obtain the trend change value through the trend evaluation function.

[0031] In a preferred technical solution of the present invention, the trend evaluation function is:

[0032]

[0033] Among them, Q represents the trend change value, f represents the compensation coefficient, i represents the number of a certain type of parameter information value, n represents the total number of monitoring times of a certain type of parameter information value, X represents the specific parameter information value, and t represents the interval time of each monitoring.

[0034] In a preferred technical solution of the present invention, the step of analyzing the preset time when the battery performance reaches the critical parameter threshold is as follows:

[0035] Obtain a number of battery samples under the same mass condition, and analyze to obtain the trend change value of each group of battery samples and the time when the battery sample reaches the critical parameter threshold;

[0036] Summarize a number of trend change values and the corresponding times when reaching the critical parameter threshold, and conduct correlation analysis with the standard trend change value and its corresponding time when reaching the critical parameter threshold, and obtain a correlation model accordingly;

[0037] Obtain a correlation function through the correlation model, and obtain the preset time according to the correlation function.

[0038] In a preferred technical solution of the present invention, the correlation function is:

[0039] S = (M / Q) * T * K - n * t

[0040] Where S represents the preset time, M represents the standard trend change value, Q represents the trend change value, T represents the time required for the battery performance to decay to the critical parameter threshold under the standard trend change value, K is the compensation coefficient, t represents the interval time of each monitoring, and n represents the total number of monitored times.

[0041] In a preferred technical solution of the present invention, the priority of the energy parameter information during comparison is: SOC > single - cell voltage > internal resistance > cell pole column temperature > total current.

[0042] A multifunctional navigation mark includes a floating body, a top mark, a lamp device, an anchor system, an energy unit, and the energy online monitoring system according to any one of claims 1 - 9.

[0043] The technical effects achieved by the present invention are as follows:

[0044] By collecting information such as the single - cell voltage, total current, cell pole column temperature, internal resistance, and SOC of the navigation mark energy, and processing through a calibration module, an analysis and comparison module, an evaluation module, and a control module, the present invention can not only monitor the energy status in real time and generate alarm signals in a timely manner, but also conduct classification management of the monitoring levels of the monitored navigation marks, predict the attenuation trend of the corresponding navigation mark energy, and provide the remaining life of the navigation mark energy according to the prediction results, providing an important basis for the precise and efficient management of navigation mark energy. Description of the Drawings

[0045] Figure 1This is the system flow chart of the present invention.

[0046] Figure 2 This is the system module diagram of the present invention. Detailed implementation manners

[0047] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following will describe the detailed implementation manners of the present invention with reference to the accompanying drawings of the specification.

[0048] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may be implemented in other ways different from those described herein. Those skilled in the art can make similar generalizations without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0049] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation manner of the present invention. The phrase "in a preferred embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it an individual or selectively exclusive embodiment from other embodiments.

[0050] Embodiment 1

[0051] Please refer to Figure 1 and Figure 2 , the present invention provides an energy online monitoring system, including a data acquisition module, a transmission module, a data storage module, a calibration module, an analysis and comparison module, an evaluation module, and a control module;

[0052] The data acquisition module is used to collect energy parameter information, where the parameter information includes single-cell voltage, total current, cell pole temperature, internal resistance, and SOC;

[0053] The transmission module is used to transmit the collected energy parameter information to the workstation monitoring system;

[0054] The data storage module is used to store relevant data information, including the collected energy parameter information;

[0055] The calibration module is used to calibrate the parameter information collected by the data acquisition module to obtain calibrated parameter information,

[0056] The analysis and comparison module is used to compare and analyze the calibrated parameter information with the critical parameter threshold, and based on the analysis result, obtain the usage status, where the usage status includes an alarm status and a sustainable status;

[0057] When the analysis and comparison module obtains a sustainable usage status based on the analysis result, the evaluation module is used to evaluate the change trend of the energy system, and determine the preset time and monitoring level for the energy system to reach the critical parameter threshold according to the change trend;

[0058] The control module is used to control the system flow, receive, process relevant data and send relevant instructions.

[0059] In the present invention, the energy online monitoring system is mainly used for monitoring the energy system of navigation aids. Currently, the main energy source used for navigation aids is a storage battery, such as a lithium iron phosphate battery. During the use of the navigation aid energy battery, there is a decay cycle, which is the cycle from the initial use until the storage battery can no longer be used properly. During this entire cycle, the performance parameters of the storage battery will change significantly. Among them, the performance parameter indicators that can best indicate the performance state of the storage battery are the single-cell voltage, total current, cell pole temperature, internal resistance, and SOC. Therefore, the present invention is provided with a data acquisition module to effectively collect the performance parameter information of the single-cell voltage, total current, cell pole temperature, internal resistance, and SOC of the navigation aid energy, and transmit the collected information to the monitoring system in the workstation. The transmission method can use 4G, Beidou, etc., and the monitoring system is used to compare the collected information with the critical parameter threshold (the critical parameter threshold refers to the values of the single-cell voltage, total current, cell pole temperature, internal resistance, and SOC when the storage battery reaches the state of not being able to be used properly, and this is used as a threshold for judgment. This threshold can be obtained as an average value through a large number of experiments, and at the same time, the standard trend change value and the corresponding time from the initial use of the battery to reaching the critical parameter threshold can be obtained according to relevant data). During the comparison process, the comparison is carried out in the order of priority of SOC, single-cell voltage, internal resistance, cell pole temperature, and total current. As long as one value exceeds the critical parameter threshold, an alarm signal can be generated. Here, it should be noted that the changes of the single-cell voltage, total current, cell pole temperature, internal resistance, and SOC during the entire decay cycle are as follows: the single-cell voltage will gradually decrease; the total current will gradually decrease; the cell pole temperature will gradually increase; the internal resistance will gradually increase; the SOC will gradually decrease. Therefore, those skilled in the art should understand that when the present invention mentions exceeding the critical parameter threshold, it does not entirely mean greater than the critical parameter threshold, but should be understood that the value exceeds the normal use range. For example, for the single-cell voltage, total current, and SOC showing a downward trend, an alarm signal should be generated when the monitored value is less than or equal to the critical parameter threshold; for the gradually increasing cell pole temperature and internal resistance, an alarm signal should be generated when the monitored value is greater than or equal to the critical parameter threshold. Before comparing the monitored value with the critical parameter threshold, it is necessary to calibrate the collected parameter information through a calibration module to reduce the error of the collected data, so as to perform more accurate comparison and analysis. According to the result of the comparison and analysis, the usage state is obtained, where the usage state includes the alarm state and the sustainable state. When the analysis result is the alarm state, the system immediately issues an alarm signal to prompt the staff to maintain the navigation aid energy system. When the analysis result is the sustainable state, the system further analyzes the decay trend of the energy system through an evaluation module to obtain the trend change value, and obtains the preset time based on the trend change value (the preset time here refers to the remaining time when the energy system reaches the state of not being able to be used properly). Through the above analysis, not only can the energy state be monitored effectively in real time, but also the decay of the normal energy system can be evaluated, and the preset time can be obtained, providing an effective basis for subsequent accurate monitoring.

[0060] It should be further noted that the acquisition of the single - cell voltage, total current, cell terminal temperature, internal resistance, and SOC value of the energy system is a conventional technology. For example, a battery sampling chip (STM8S003F3P6) is used for single - cell voltage sampling; a magnetic - balance current sensor sampling circuit is used for current sampling; a DS18B20 temperature sensor with a wide temperature measurement range and high resolution is selected for temperature monitoring; for internal resistance monitoring, a sine signal is generated by an excitation signal circuit. The sine signal is connected to the battery through capacitor isolation. The voltage and current signals obtained through voltage acquisition and current acquisition are input into the FPGA through an AD sampling circuit. In the FPGA, through the filtering of the synchronous integration method and the amplitude - taking process of the sampling integration method, and finally the measured internal resistance value is calculated through Ohm's law; the ampere - hour integration method and the open - circuit voltage method are combined for estimation to improve the estimation accuracy of SOC. The ampere - hour integration method updates the SOC value of the battery in the working state in real - time. When the battery pack is not working or each time the battery system is started, the open - circuit voltage method is used to calibrate the SOC to eliminate the charge accumulation error and solve the initial SOC evaluation problem of the ampere - hour integration method. The above acquisition of the single - cell voltage, total current, cell terminal temperature, internal resistance, and SOC value of the energy system is only used for illustration and does not limit the acquisition method. Those skilled in the art should know that there are other acquisition methods.

[0061] In a preferred embodiment, the steps for the calibration module to calibrate the parameter information collected by the data acquisition module to obtain the calibrated parameter information are as follows:

[0062] Obtain several battery test samples under the same quality conditions, obtain multiple monitoring parameter information values and measured parameter information values at the same interval time, and summarize several monitoring parameter information values and measured parameter information values into a database;

[0063] Obtain the calibration function between the measured parameter information value and the monitoring parameter information value based on the monitoring parameter information value and the measured parameter information value in the database.

[0064] Obtain the calibrated parameter information value by inputting the monitoring parameter information value into the calibration function.

[0065] In this embodiment, several battery test samples under the same quality conditions are selected. For example, lithium iron phosphate batteries can be selected. The same time interval is selected, such as an interval of 3 days (not specifically limited and can be randomly set according to needs). The single-cell voltage, total current, cell pole temperature, internal resistance, and SOC value of the battery are successively and sequentially monitored and measured online, and the corresponding data are obtained. Monitoring is stopped until the battery decays to the point where it cannot be used normally. The data for the entire cycle are summarized to provide data support for subsequent monitoring, and based on this, the mapping relationship between the measured data and the monitored data is obtained, and a calibration function is obtained. When subsequently monitoring the single-cell voltage, total current, cell pole temperature, internal resistance, and SOC value of the battery, only the monitored parameter information value needs to be input into the calibration function to obtain the calibrated calibration parameter information value, and the monitored data is corrected to ensure the accuracy of the data. The calibration function is Z = a*j + b, where Z is the calibrated parameter information value (measured value), j is the monitored parameter information value, a is the first compensation coefficient, and b is the second compensation coefficient, and both a and b are constants.

[0066] In a preferred embodiment, the analysis and comparison module is used to compare and analyze the calibrated parameter information with the critical parameter threshold, and based on the analysis result, the steps to obtain the usage status are as follows:

[0067] Compare the calibrated parameter information with the critical parameter threshold;

[0068] If the calibrated parameter information exceeds the critical parameter threshold, the control module immediately outputs an alarm signal to generate an alarm status;

[0069] If the calibrated parameter information does not exceed the critical parameter threshold, the control module outputs a sustainable status.

[0070] In this embodiment, by comparing the calibrated parameter information value with the critical parameter threshold, exceeding the critical parameter threshold means that the battery has reached a state where it cannot be used normally. Then the system outputs an alarm status and issues an alarm signal to notify the beacon maintenance personnel to perform maintenance on the beacon energy system, changing passive maintenance to active maintenance. When the calibrated parameter information value does not exceed the critical parameter threshold when compared with the critical parameter threshold, the system outputs a sustainable status, indicating that the beacon energy system is in a stable state.

[0071] In a preferred embodiment, when the analysis and comparison module obtains the usage status as a sustainable status according to the analysis result, the evaluation module is used to evaluate the change trend of the energy system through the evaluation module, and the steps to determine the preset time and monitoring level when the energy system reaches the critical parameter threshold based on the change trend are as follows:

[0072] Input the calibrated parameter information into the evaluation module, and based on the trend evaluation function of the evaluation module, obtain the trend change value of the calibrated parameter information;

[0073] If the trend change value of the calibration parameter information is greater than the standard trend change value, it indicates that the battery performance degradation rate has accelerated. The battery should be classified into the red monitoring level, and the preset time for the battery performance to reach the critical parameter threshold should be analyzed accordingly.

[0074] If the trend change value of the calibration parameter information is less than the standard trend change value, it indicates that the battery performance degradation rate has slowed down. The battery should be classified into the green monitoring level, and the preset time for the battery to reach the critical parameter threshold should be analyzed accordingly.

[0075] If the trend change value of the calibration parameter information is equal to the standard trend change value, it indicates that the battery performance degradation rate is normal. The battery should be classified into the yellow monitoring level, and monitored according to the normal cycle for the battery performance to reach the critical parameter threshold.

[0076] In this embodiment, when we obtain the sustainable state after monitoring and comparing the energy system, in order to further accurately understand the state of the beacon energy, we can further evaluate the attenuation trend of the beacon energy battery, obtain the trend change value of the energy system, and classify the energy system according to the analysis and comparison of the trend change value and the standard trend change value, which is convenient for the staff to manage by classification, highlight the key points, optimize the management efficiency, and obtain the preset time for the battery to reach the critical parameter threshold according to the trend change value, providing a basis for accurately grasping the battery state change in the future.

[0077] It should be further noted that the specific steps for inputting the calibration parameter information into the evaluation module and obtaining the trend change value of the calibration parameter information according to the trend evaluation function of the evaluation module are as follows:

[0078] Obtain several battery test samples of the same quality, construct a monitoring period, set multiple monitoring time points at equal intervals within the monitoring period, and obtain the monitoring parameter information values at each monitoring time point. After correcting all the monitoring parameter information values through the calibration function, the corrected parameter information values are obtained. All the corrected parameter information values and the corresponding monitoring time points are summarized in the database, where the monitoring period covers the entire cycle of the battery from the optimal parameter value (the optimal parameter value is the parameter value when the battery is first used) to the critical parameter threshold.

[0079] Obtain the trend evaluation model based on several calibration parameter information values and the corresponding monitoring time points in the database, obtain the trend evaluation function according to the evaluation model, and obtain the trend change value through the trend evaluation function, where the trend evaluation function is:

[0080]

[0081] Among them, Q represents the trend change value, f represents the compensation coefficient, i represents the number of a certain type of parameter information value, n represents the total number of monitoring times of a certain type of parameter information value, X represents the specific parameter information value, and t represents the interval time of each monitoring.

[0082] It should be noted that since the present invention determines battery status by monitoring five parameters: cell voltage, total current, cell terminal temperature, internal resistance, and SOC, expressions such as collecting relevant data or monitoring or measuring relevant parameter information in the present invention refer to the simultaneous acquisition of parameter information for these five indicators. The aforementioned trend change values are calculated separately for each of the five indicators, and a comprehensive assessment is performed based on these trend changes.

[0083] In a preferred embodiment, the step of analyzing the preset time when the battery performance reaches the critical parameter threshold is:

[0084] Obtain several battery samples of the same quality and analyze the trend change value of each group of battery samples and the time when the battery samples reach the critical parameter threshold;

[0085] Several trend change values and the corresponding time of reaching the critical parameter threshold are summarized, and correlation analysis is performed with the standard trend change value and its corresponding time of reaching the critical parameter threshold, and a correlation model is obtained based on this, and a correlation function is obtained through the correlation model, and the preset time is obtained according to the correlation function.

[0086] In this embodiment, multiple battery samples of equal quality are obtained, and the trend change value and the time it takes for the battery to reach a critical parameter threshold for each group of battery samples are obtained. The above data is aggregated and correlated with the standard trend change value and the time it takes for the battery to reach the critical parameter threshold to obtain a correlation function. In the subsequent energy system monitoring process, the parameter information of the energy system is monitored, such as data within six months, and the trend change value of the energy system parameter information is obtained based on this. The decay rate of the energy system is determined by the trend change value, and then the preset time is obtained according to the correlation function, where the correlation function is S = (M / Q)*T*Kn*t, where S represents the preset time, M represents the standard trend change value, Q represents the trend change value, T represents the time required for the battery performance to decay to the critical parameter threshold under the standard trend change value, K is the compensation coefficient, t represents the interval between each monitoring, and n represents the total number of monitoring times. By obtaining the preset time, the staff can be reminded of the remaining battery life, providing data support for the staff to accurately manage the battery.

[0087] Example 2

[0088] The present invention also provides a multifunctional navigation mark, which includes a floating body, a top mark, a lamp, an anchor system, an energy unit and the above-mentioned online energy monitoring system for monitoring the energy unit.

[0089] The present invention collects information such as the single voltage, total current, cell pole temperature, internal resistance, SOC, etc. of the beacon energy, and processes it through a calibration module, an analysis and comparison module, an evaluation module, and a control module. It can not only monitor the energy status in real time and generate alarm signals in a timely manner, but also classify and manage the monitoring levels of the monitored beacons, predict the attenuation trend of the corresponding beacon energy, and provide the remaining life of the beacon energy based on the prediction results, providing an important basis for the precise and efficient management of beacon energy.

[0090] The above is only the preferred embodiment of the present invention. It should be noted that for those of ordinary skill in the art in this technical field, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention. The structures, devices, and operation methods not specifically described and explained in the present invention are implemented according to the conventional means in the art without special description and limitation.

Claims

1. An on - line energy monitoring system, comprising a data acquisition module, a transmission module, a data storage module, a calibration module, an analysis and comparison module, an evaluation module, and a control module, characterized in that: The data acquisition module is used to collect energy parameter information, where the parameter information includes single - cell voltage, total current, cell pole temperature, internal resistance, and SOC; The transmission module is used to transmit the collected energy parameter information to the workstation monitoring system; The data storage module is used to store relevant data information, including the collected energy parameter information; The calibration module is used to calibrate the parameter information collected by the data acquisition module to obtain calibrated parameter information. The analysis and comparison module is used to compare and analyze the calibrated parameter information with the critical parameter threshold, and based on the analysis result, obtain the usage status, where the usage status includes an alarm status and a sustainable status; When the analysis and comparison module obtains the usage status as the sustainable status according to the analysis result, the evaluation module is used to evaluate the change trend of the energy system through the evaluation module, and based on the change trend, judge the preset time and monitoring level when the energy system reaches the critical parameter threshold; The control module is used to control the system flow, receive, process relevant data, and send relevant instructions.

2. The energy online monitoring system according to claim 1, characterized in that: The steps for the analysis and comparison module to compare and analyze the calibrated parameter information with the critical parameter threshold and obtain the usage status based on the analysis result are as follows: Compare the calibrated parameter information with the critical parameter threshold; If the calibrated parameter information exceeds the critical parameter threshold, the control module immediately outputs an alarm signal to generate an alarm status; If the calibrated parameter information does not exceed the critical parameter threshold, the control module outputs a sustainable status.

3. The energy online monitoring system according to claim 1, characterized in that: When the analysis and comparison module obtains the usage status as the sustainable status according to the analysis result, the steps for the evaluation module to evaluate the change trend of the energy system through the evaluation module and judge the preset time and monitoring level when the energy system reaches the critical parameter threshold are as follows: Input the calibrated parameter information into the evaluation module, and based on the trend evaluation function of the evaluation module, obtain the trend change value of the calibrated parameter information; If the trend change value of the calibrated parameter information is greater than the standard trend change value, it indicates that the battery performance degradation rate becomes faster. The battery should be included in the red monitoring level, and based on this, analyze the preset time when the battery performance reaches the critical parameter threshold; If the trend change value of the calibrated parameter information is less than the standard trend change value, it indicates that the battery performance degradation rate slows down. The battery should be included in the green monitoring level, and based on this, analyze the preset time when the battery reaches the critical parameter threshold; If the trend change value of the calibrated parameter information is equal to the standard trend change value, it indicates that the battery performance degradation rate is normal. The battery should be included in the yellow monitoring level, and monitor it according to the normal cycle when the battery performance reaches the critical parameter threshold.

4. The energy online monitoring system according to claim 1, wherein: The steps for the calibration module to calibrate the parameter information collected by the data acquisition module to obtain calibrated parameter information are as follows: Obtain several battery test samples under the same quality conditions, obtain multiple monitoring parameter information values and measured parameter information values at the same interval time, and summarize several monitoring parameter information values and measured parameter information values into the database; Obtaining a calibration function between the measured parameter information value and the monitoring parameter information value based on the monitoring parameter information value and the measured parameter information value in the database; The calibration parameter information value is obtained by inputting the monitoring parameter information value into the value calibration function.

5. The energy online monitoring system according to claim 3, wherein: The specific steps of inputting the calibration parameter information into the evaluation module and obtaining the trend change value of the calibration parameter information according to the trend evaluation function of the evaluation module are as follows: Obtain several battery test samples of equal quality, establish a monitoring period, set multiple equally spaced monitoring time points within the monitoring period, obtain monitoring parameter information values at each monitoring time point, calibrate all monitoring parameter information values using a calibration function to obtain corrected parameter information values, and aggregate all corrected parameter information values and corresponding monitoring time points into a database, wherein the monitoring period covers the entire cycle of the battery from the optimal parameter value to the critical parameter threshold; A trend evaluation model is obtained based on several calibration parameter information values in the database and the corresponding monitoring time points, a trend evaluation function is obtained based on the evaluation model, and a trend change value is obtained through the trend evaluation function.

6. The energy online monitoring system according to claim 5, characterized in that: The trend evaluation function is: Among them, Q represents the trend change value, f represents the compensation coefficient, i represents the number of a certain type of parameter information value, n represents the total number of monitoring times of a certain type of parameter information value, X represents the specific parameter information value, and t represents the interval time of each monitoring.

7. The energy online monitoring system according to claim 3, characterized in that: The step of analyzing the preset time when the battery performance reaches the critical parameter threshold is: Obtain several battery samples of the same quality and analyze the trend change value of each group of battery samples and the time when the battery samples reach the critical parameter threshold; Summarize several trend change values and the time when they reach the critical parameter threshold, and perform correlation analysis with the standard trend change value and the time when they reach the critical parameter threshold, and obtain a correlation model based on this; A correlation function is obtained through a correlation model, and a preset time is obtained according to the correlation function.

8. The energy online monitoring system according to claim 7, characterized in that: The correlation function is: S=(M / Q)*T*Kn*t Where S represents the preset time, M represents the standard trend change value, Q represents the trend change value, T represents the time required for the battery performance to decay to the critical parameter threshold under the standard trend change value, K is the compensation coefficient, t represents the interval time of each monitoring, and n represents the total number of monitoring times.

9. The energy online monitoring system according to claim 1, wherein: The priority of the energy parameter information during comparison is: SOC>cell voltage>internal resistance>cell pole temperature>total current.

10. A multifunctional navigation mark, characterized in that: The invention comprises a buoy, a top marker, a lamp, an anchor system, an energy unit and any one of the energy online monitoring systems described in claims 1-9.

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