System for monitoring the ship's sewage storage process

Abstract

The present invention provides a system for monitoring a ship sewage storage process, which can implement graded early warning and alarm for various risks in the ship sewage storage process, including a transport ship onboard monitoring system and an Internet cloud server; the transport ship onboard monitoring system includes a liquid level monitoring unit, a water quality ammonia nitrogen monitoring unit, a backup power supply and power management unit, a GPS or Beidou positioning unit, and a system control and communication unit; the Internet cloud server is used to receive various monitoring data transmitted from the system control and communication unit in the transport ship onboard monitoring system, and analyze the monitoring data, determine various risks and implement graded early warning and alarm; the present invention realizes early warning and alarm for various environmental protection and safety risks on the basis of ship sewage storage process monitoring through targeted hardware settings and real-time data analysis, which is helpful to improve the effectiveness and safety of ship sewage monitoring and management, and has broad application prospects.

Description

Technical Field

[0001] The invention relates to the technical field of ship pollution monitoring, and in particular to a system for monitoring a ship sewage storage process. Background Art

[0002] Domestic sewage from ships is an important pollutant from ships. If it is not handled properly, it will cause serious environmental pollution and damage water resources. According to the national regulations on the "storage on board, delivery on shore" ship sewage treatment plan, the sewage generated during the use of the ship should first be stored in the ship's sewage storage cabinet and then delivered ashore when docking. Therefore, as long as real-time liquid level height monitoring facilities are installed on the ship's sewage storage cabinet, the storage process of sewage on the ship can be effectively monitored to avoid the problem of "sewage in the storage cabinet being directly discharged into rivers during storage".

[0003] However, installing monitoring facilities on transport ships can only ensure that sewage entering the sewage storage tank is included in the monitoring scope, and cannot monitor sewage temporarily stored in other ways (such as barrels and basins); therefore, if the height or volume of sewage in the sewage storage tank on the transport ship remains stable for a long time (for example, 3 days or more), it is very likely that "domestic sewage is not discharged into the sewage storage tank in the prescribed manner, and there is a problem of illegal sewage discharge";

[0004] It is worth mentioning that on some transport ships, there is also the situation of "privately discharging sewage by connecting another pipe to the sewage pipe leading to the sewage storage tank"; because the sewage storage tank is mostly located in the cabin, which is lower than the water level, if the valve of the privately connected sewage pipe is not closed, it is very likely that the river water will flow back into the sewage storage tank and the cabin along the privately connected pipe, causing serious safety accidents; when the river water flows back, the liquid level monitoring data in the sewage storage tank will show "close to the maximum height and remain unchanged for a long time";

[0005] In addition, since the sewage storage tanks of transport ships are mostly located in the cabin, the existing monitoring systems are also mostly installed in the cabin. However, various large equipment are installed in the cabin, and the electromagnetic environment is complex. The liquid level monitoring signal may be seriously interfered, showing violent fluctuations or shocks;

[0006] Finally, in actual applications, even if real-time monitoring facilities are installed on transport ships, sewage receiving / transfer ships, and docks, the above facilities often lose their monitoring effectiveness due to power outages. The reasons for power outages are partly accidental factors such as loose plugs, line failures, and long-term idle ships, but in many cases they are malicious human factors, that is, trying to evade monitoring by cutting off power, which is more common in transport ships;

[0007] The existing ship sewage monitoring systems do not have effective countermeasures for the above problems. To this end, this solution provides a system for monitoring the ship sewage storage process. Summary of the invention

[0008] Based on the technical problems existing in the background technology, the present invention proposes a system for monitoring the storage process of ship sewage. Through targeted hardware settings and real-time data analysis, while monitoring the storage process of ship sewage in real time, the system implements graded early warning and alarm for environmental protection and safety risks caused by various factors, which helps to improve the effectiveness and safety of ship sewage monitoring and management, and has broad application prospects, including: onboard monitoring systems of transport ships, Internet cloud servers;

[0009] The onboard monitoring system of the transport ship includes: liquid level monitoring unit, water quality ammonia nitrogen monitoring unit, backup power supply and power management unit, GPS or Beidou positioning unit, system control and communication unit; the system control and communication unit has built-in individual identity identification information, and can use 4G / 5G mobile communication technology to regularly transmit monitoring data to the Internet cloud server, and can also receive control signals sent by the Internet cloud server;

[0010] The Internet cloud server is used to receive individual identity information and various monitoring data transmitted from the onboard monitoring system of the transport ship, analyze the monitoring data, determine various risks and implement graded warnings and alarms.

[0011] Preferably, the steps of the Internet cloud server analyzing monitoring data, assessing risks and determining early warnings and alarms include:

[0012] S111. When the liquid level monitoring data transmitted to the Internet cloud server through the transport ship's onboard monitoring system shows that the liquid level monitoring data fluctuates violently within the first specified time period, the Internet cloud server sends a control signal to the transport ship's onboard monitoring system, requiring the liquid level monitoring unit to verify the monitoring data within the specified time period and retransmit the verified data to the cloud server; wherein: the length of the first specified time period is 6 hours;

[0013] S112. If the monitoring data within the specified time period resent by the onboard monitoring system of the transport ship to the Internet cloud server still shows "violent fluctuations", and the linear fitting slope of the fluctuation data differs from the linear fitting slope of the original fluctuation data by less than 10%, it is determined that there is a risk requiring a "Level 1 warning";

[0014] S121. When the liquid level monitoring data transmitted to the Internet cloud server through the transport ship's onboard monitoring system shows that the liquid level remains stable within the second specified time period, the Internet cloud server sends a control signal to the transport ship's onboard monitoring system, requiring the liquid level monitoring unit to verify the monitoring data within the specified time period and retransmit the verified data to the cloud server; wherein: the length of the second specified time period is 3 days;

[0015] S122. If the monitoring data in the second specified time period resent by the onboard monitoring system of the transport ship to the Internet cloud server still shows stability and the linear fitting slope of the fluctuation data differs from the linear fitting slope of the original fluctuation data by less than 10%, it is determined that there is a risk requiring a "secondary alarm";

[0016] S123. When the alarm conditions in S122 are met, if the monitoring data simultaneously show that the liquid level is not less than 95% of the maximum height of the sewage storage tank of the transport ship, it is determined that there is a risk requiring a "level one alarm".

[0017] Preferably, the process of the Internet cloud server verifying the alarm situation is:

[0018] The water quality ammonia nitrogen monitoring unit regularly transmits the water quality ammonia nitrogen value in the sewage storage cabinet back to the Internet cloud server through the system control and communication unit; when the Internet cloud server analyzes the liquid level monitoring data and determines the "first level alarm" risk described in S123, it should also verify the alarm situation based on the difference between the water quality ammonia nitrogen value before the first specified time period and the water quality ammonia nitrogen value within the first specified time period; if the water quality ammonia nitrogen value within the first specified time period is less than 10% of the water quality ammonia nitrogen value before the first specified time period, the "first level alarm" risk verification passes, otherwise the verification fails and the aforementioned "first level alarm" risk is rejected.

[0019] Preferably, the working mode of the liquid level monitoring unit is:

[0020] The liquid level monitoring unit comprises: a data acquisition module, a first data storage module, a data analysis module, and a second data storage module;

[0021] The data acquisition module acquires raw measurement data in real time through sensors, and stores the raw measurement data in the first data storage module. The data acquisition module can periodically clear the raw measurement data stored in the first data storage module within a preset specified time period; the data analysis module can divide the raw measurement data acquired continuously and in real time into multiple segments according to a preset time frequency, and take the arithmetic mean of all raw measurement data in each time segment, and store the mean value and its corresponding time segment in the second data storage module; the data in the second data storage module is periodically transmitted to the cloud server through the system control and communication unit, and the data in the second data storage module is cleared after the transmission is successful; when the data acquisition module periodically clears the raw measurement data stored in the first data storage module within a preset specified time period, it should be after "the Internet cloud server has undergone risk assessment and confirmed that there are no environmental and safety risks within the time period".

[0022] Preferably, the process of limiting the specified time period in step S111 and the specified time period in step S121 is as follows:

[0023] The verification of the monitoring data within the specified time period described in step S111 is specifically "performing a low-pass filter with a cutoff frequency of a first specified frequency on the data within the specified time period"; preferably, the first specified frequency is 1.0 cycle / hour;

[0024] The verification of the monitoring data within the specified time period described in step S111 may specifically include: reducing the time frequency used by the data analysis module of the liquid level monitoring unit for data processing, that is, increasing the length of the time segment for averaging processing; and reprocessing the monitoring data within the specified time period. Preferably, when the time frequency used in step S111 is reduced, the reduced time frequency is 0.1 times / minute.

[0025] The verification of the monitoring data within the specified time period described in step S121 is specifically to increase the time frequency used by the data analysis module of the liquid level monitoring unit when performing data processing, that is, to reduce the length of the time segment for averaging processing; and reprocess the monitoring data within the specified time period;

[0026] When the time frequency used in step S121 is increased, the increased time frequency is 1.0 times / minute.

[0027] Preferably, when the transport ship's onboard monitoring system retransmits the verified data to the cloud server, the cloud server will also compare the difference in the discrete coefficient of the data before and after the verification, and use it as a reference for determining early warning and alarm. The specific process is:

[0028] When the difference in the dispersion coefficient of the data before and after the verification is less than the first specified difference value, the "first-level warning" risk described in S112 is rejected, otherwise it is accepted; when the difference in the dispersion coefficient of the data before and after the verification is greater than the second specified difference value, the "second-level alarm" risk described in S122 or the "first-level alarm" risk described in S123 is rejected, otherwise it is accepted;

[0029] Preferably, the first specified difference value and the second specified difference value are both 20%; the data dispersion coefficient is defined as:

[0030] Cv =σ / μ

[0031] Among them, Cv is the dispersion coefficient of the specified data set, σ is the standard deviation of the data set, and μ is the mean value of the data set.

[0032] Preferably, the backup power supply and the power management unit work in the following manner:

[0033] The backup power supply and power management unit includes a backup power supply module and a power management module; the backup power supply module supplies power to the onboard monitoring system of the transport ship and is charged by an external power supply at the same time; the power management module monitors the external power input voltage, the existing power of the backup power supply, and the estimated time for the backup power supply to run out, and regularly transmits the power status monitoring data to the Internet cloud server through the system control and communication unit; when the Internet cloud server determines based on the power status monitoring data that "the external power input voltage has dropped below 20% of the rated input voltage of the backup power supply and the duration is greater than 5 minutes", it is determined that there is a risk requiring a "third-level alarm"; when the Internet cloud server determines based on the power status monitoring data that "the estimated time for the backup power supply to run out is less than 2 hours", it is determined that there is an abnormal condition requiring a "second-level warning".

[0034] Preferably, the Internet cloud server can calculate the "risk score" of all transport ships included in the monitoring scope within a unit time through a weighted scoring method based on the level and number of implementation of early warnings and alarms, and list the transport ships whose "risk score" exceeds the specified requirements as key inspection targets during the subsequent on-site risk inspection.

[0035] Preferably, the working mode of the GPS or Beidou positioning unit is:

[0036] The geographical location information of the transport ship is regularly transmitted back to the Internet cloud server through the system control and communication unit; when the Internet cloud server analyzes the liquid level monitoring data and determines the "secondary alarm" risk, or analyzes the power status monitoring data and determines the "third-level alarm" and "secondary warning" risks, it should also verify the alarm or warning situation based on the real-time position information of the ship provided by the GPS or Beidou positioning unit; if the real-time position information of the ship shows that "the ship has been staying in a certain place for a long time and continuously for a period of time and is in a suspended state", the verification fails and the aforementioned alarm or warning risk is rejected; otherwise, the verification passes and the aforementioned alarm or warning risk is accepted. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions of the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art description are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0038] Figure 1 This is a flow chart of a system for monitoring the ship sewage storage process proposed by the present invention.

[0039] Figure 2This is a functional relationship diagram among the liquid level monitoring unit, system control and communication unit, backup power supply and power management unit in the onboard monitoring system of a transport ship. DETAILED DESCRIPTION

[0040] like Figure 1-2 As shown, a system for monitoring the ship sewage storage process is used to implement graded early warning and alarm for various risks in the ship sewage storage process, including: a transport ship onboard monitoring system, an Internet cloud server; wherein the transport ship onboard monitoring system includes: a liquid level monitoring unit installed on the sewage storage cabinet, a water quality ammonia nitrogen monitoring unit, a backup power supply and power management unit, a GPS or Beidou positioning unit, and a system control and communication unit;

[0041] The liquid level monitoring unit, water quality ammonia nitrogen monitoring unit, backup power supply and power management unit, GPS or Beidou positioning unit can provide various types of monitoring data in real time; the system control and communication unit has built-in individual identity information, and can use 4G / 5G mobile communication technology to regularly transmit monitoring data to the Internet cloud server, and can also receive control signals sent by the Internet cloud server;

[0042] The Internet cloud server is used to receive individual identity information and various monitoring data transmitted from the onboard monitoring system of the transport ship, analyze the monitoring data, determine various risks and implement graded warnings and alarms.

[0043] The liquid level monitoring unit includes: a data acquisition module, a first data storage module, a data analysis module, and a second data storage module;

[0044] The data acquisition module acquires raw measurement data in real time through sensors, and stores the raw measurement data in the first data storage module. The data acquisition module can periodically clear the raw measurement data stored in the first data storage module within a specified time period; the data analysis module can divide the raw measurement data acquired continuously and in real time into multiple segments according to a specified time frequency, and take the arithmetic mean of all raw measurement data in each time segment, and store the average value and its corresponding time segment in the second data storage module; the data in the second data storage module is periodically transmitted to the cloud server through the system control and communication unit, and the data in the second data storage module is cleared after the transmission is successful; the data acquisition module periodically clears the raw measurement data stored in the first data storage module within a specified time period after "the Internet cloud server has undergone risk assessment and confirmed that there is no environmental and safety risk in the time period"; wherein the time frequency of taking the average value of the raw measurement data segments is 0.1 times / minute, 0.2 times / minute, 0.5 times / minute or 1.0 times / minute.

[0045] Onboard monitoring system of transport ship: During the period when it is impossible to connect to the Internet cloud server through the 4G / 5G mobile communication network, the data stored in the first and second data storage modules in the liquid level monitoring unit will not be cleared regularly. The regular data clearing operation will be performed after the connection with the Internet cloud server is restored, the data upload is completed, and the Internet cloud server has not issued any control instructions for the uploaded data.

[0046] The backup power supply and power management unit includes two parts: a backup power supply module and a power management module; the backup power supply module supplies power to the onboard monitoring system of the transport ship and is charged by an external power supply at the same time; the power management module monitors the external power input voltage, the existing power of the backup power supply, and the estimated time when the backup power supply is exhausted, and regularly transmits the power status monitoring data to the Internet cloud server through the system control and communication unit.

[0047] There are two situations in which the Internet cloud server analyzes monitoring data, assesses risks and determines warnings, as follows:

[0048] The specific steps for the first case include:

[0049] S111´, when the liquid level monitoring data transmitted to the Internet cloud server through the transport ship's onboard monitoring system shows that the liquid level monitoring data fluctuates violently within a first specified time period, the Internet cloud server sends a control signal to the transport ship's onboard monitoring system, requiring the liquid level monitoring unit to verify the monitoring data within the specified time period and retransmit the verified data to the cloud server; preferably, the first specified time period is 6 hours;

[0050] S112', after receiving the control signal from the Internet cloud service requesting data verification, the onboard monitoring system of the transport vessel performs data verification in any of the following two ways:

[0051] 1. Performing low-pass filtering with a cutoff frequency of a first specified frequency on the data within the specified time period; preferably, the first specified frequency is 1.0 cycle / hour;

[0052] 2. Reduce the time frequency used by the data analysis module of the liquid level monitoring unit for data processing (i.e., increase the length of the time segment for averaging processing), and reprocess the monitoring data within the specified time. Preferably, the reduced time frequency is 0.1 times / minute.

[0053] S113´, the transport ship's onboard monitoring system retransmits the verified data to the cloud server. If the data still shows "violent fluctuations" and the linear fitting slope of the fluctuation data differs from the linear fitting slope of the original fluctuation data by less than 10%, it is preliminarily determined that there is a risk requiring a "first level warning";

[0054] S114', the cloud server compares the difference between the dispersion coefficients of the data before and after the verification. If the difference between the dispersion coefficients of the data before and after the verification is less than the first specified difference value, the "first level warning" risk initially determined in S113' is rejected, otherwise it is accepted; preferably, the first specified difference value is 20%; the data dispersion coefficient is defined as:

[0055] C v = σ / μ

[0056] Among them, C v is the coefficient of dispersion of the specified data set, σ is the standard deviation of the data set, and μ is the mean value of the data set.

[0057] The following is a description of the first situation;

[0058] When the liquid level monitoring data fluctuates violently (i.e., non-monotonic changes within a specified time period, the amplitude of the change obviously exceeds the system error range, resulting in multiple inflection points in the curve, showing multiple peaks or troughs), the cloud server needs to take targeted measures to confirm the reliability of the monitoring data; such violent fluctuations may be caused by the turbulence of the hull or the influence of high-power electromagnetic interference sources installed nearby; the former is a normal phenomenon, while the latter requires targeted early warning to remind the staff on the transport ship to conduct inspections and eliminate the above interference as soon as possible;

[0059] To this end, the Internet cloud server sends a control signal to the onboard monitoring system of the transport ship, requiring the liquid level monitoring unit to verify the monitoring data within the specified time period; during the verification, the noise reduction method commonly used in the field of digital image processing, which uses discrete Fourier transform to achieve low-pass filtering, can be used first, and generally good results can be achieved; this is because the data changes generated when the ship's sewage normally enters and exits the sewage storage cabinet are low-frequency signals, and the period is in days, while the hull turbulence caused by strong winds and waves or the electromagnetic interference caused by the placement of high-power electrical appliances nearby are medium- and high-frequency signals, and the period is mostly in minutes. Therefore, the low-pass filtering method can effectively eliminate the measurement errors caused by the hull turbulence and most of the measurement errors caused by electronic interference; it should be noted that if the electromagnetic interference causes serious baseline drift problems in the measuring instrument and equipment, the low-pass filtering method cannot completely solve the problem; in addition, the method of "extending the processing section and averaging within the section" can also be used; compared with the low-pass filtering method, this method is simpler and easier to operate, and can also effectively eliminate the measurement errors caused by the hull turbulence, but the effect of eliminating electromagnetic interference is relatively poor;

[0060] If the verified data retransmitted to the cloud server by the onboard monitoring system of the transport ship still shows "violent fluctuations", the cloud server needs to further compare the relevant parameters of the data before and after the verification; the comparison parameters include the linear fitting slope and dispersion coefficient of the fluctuation data; if the differences in the linear fitting slope and dispersion coefficient of the data before and after the verification are not large, it means that the existing processing has failed to effectively eliminate the noise components in the data signal; considering that "theoretically, the measurement errors or noise components caused by the hull shaking can be effectively eliminated by the two existing methods", it can be considered that there is still noise in the verified data mainly caused by electromagnetic interference; at this time, in order to improve the reliability of the measurement data, targeted early warnings should be carried out to remind the staff on the transport ship to conduct inspections and eliminate the above interference as soon as possible.

[0061] The specific steps for the second scenario include:

[0062] S121´, when the power status monitoring data transmitted to the Internet cloud server through the onboard monitoring system of the transport ship shows that "the estimated time for the backup power supply to run out is less than 2 hours", it is preliminarily determined that there is a risk requiring a "secondary warning";

[0063] S122', based on the ship position information provided by the GPS or Beidou positioning unit, verify the "secondary warning" situation initially determined in S121'; if the real-time position information of the ship shows that "the ship has been staying in a certain place for a long time and continuously for a period of time and is in a suspended state", the verification fails and the aforementioned "secondary warning" risk is rejected; otherwise, the verification passes and the aforementioned warning risk is accepted;

[0064] The following is an explanation of the second situation. Generally, when the ship stops sailing without being connected to shore power, all electrical equipment on board will lose power. At this point, the backup power supply of the monitoring system will soon be exhausted, thus meeting the preliminary determination conditions for a "secondary warning". However, this is normal and does not require special attention. What actually needs attention is the situation where "the backup power supply of the transport ship's onboard monitoring system has been unable to meet the working requirements due to loss and other reasons and needs to be replaced". However, since the system is normally powered by the ship's onboard generator, the lack of backup power at this time does not immediately affect the system's operation, so it is set to a lower level "secondary warning" to remind the staff on the transport ship to replace it in time.

[0065] There are three situations in which the Internet cloud server analyzes monitoring data, assesses risks and determines alarms, as follows:

[0066] The specific steps for the first case include:

[0067] S211´, when the liquid level monitoring data transmitted to the Internet cloud server through the transport ship's onboard monitoring system shows that the liquid level monitoring data remains stable within a second specified time period, the Internet cloud server sends a control signal to the transport ship's onboard monitoring system, requiring the liquid level monitoring unit to verify the monitoring data within the specified time period and retransmit the verified data to the cloud server; preferably, the second specified time period is 3 days;

[0068] S212', after receiving the control signal sent by the Internet cloud service requesting data verification, the onboard monitoring system of the transport ship increases the time frequency used by the data analysis module of the liquid level monitoring unit for data processing (i.e., reduces the length of the time segment for averaging processing), and reprocesses the monitoring data within the specified time period; preferably, the increased time frequency is 1.0 times / minute;

[0069] S213´, the transport ship's onboard monitoring system retransmits the verified data to the cloud server. If the data still shows "stable and unchanged", and the linear fitting slope of the fluctuation data differs from the linear fitting slope of the original fluctuation data by less than 10%, it is preliminarily determined that there is a risk that requires a "secondary alarm";

[0070] S214', the cloud server compares the difference between the dispersion coefficients of the data before and after the verification. If the difference between the dispersion coefficients of the data before and after the verification is greater than the first specified difference value, the "secondary alarm" risk initially determined in S213' is rejected, otherwise it is accepted; preferably, the second specified difference value is 20%; the data dispersion coefficient is defined as:

[0071] C v = σ / μ

[0072] Among them, C v is the dispersion coefficient of the specified data set, σ is the standard deviation of the data set, and μ is the mean value of the data set;

[0073] The following is an explanation of the first situation; under normal circumstances, the liquid level monitoring data in the sewage storage tank should regularly show an obvious increase or decrease (i.e., sewage entering or sewage being discharged); but if there is a long-term stable phenomenon, it indicates that there may be a problem of "domestic sewage is not discharged into the sewage storage tank in the prescribed manner, and there is illegal sewage discharge"; at this time, if after data verification and detailed information is found ("reducing the length of the time period for averaging" can avoid the detailed information being averaged, thereby highlighting the detailed information), the possibility of the above problem is still not ruled out, a "secondary alarm" should be issued to remind the staff on the transport ship and the competent department to investigate the problem.

[0074] Second case:

[0075] On the basis of the "secondary alarm" confirmed by the first situation, if both the "monitoring data shows that the liquid level is not less than 95% of the maximum height of the sewage storage tank of the transport ship" and "the water quality ammonia nitrogen monitoring data shows that the water quality ammonia nitrogen value in the specified time period is less than 10% of the water quality ammonia nitrogen value before the specified time period" are met, it is confirmed that there is a safety risk that requires a "first level alarm";

[0076] The following is a description of the second situation; since the ammonia nitrogen value of manure is much higher than that of normal water bodies (approximately between dozens and hundreds of times), and the main pollutant in the sewage storage tank of the transport ship is feces, the ammonia nitrogen value of the sewage in the sewage storage tank should be much higher than that of river water or river water, and should not change too much during the storage process; under normal circumstances, only when "river water flows back into the sewage storage tank along the privately connected pipeline" will the ammonia nitrogen value of the sewage in the sewage storage tank change significantly; at the same time, due to the backflow of river water, the liquid level of the sewage in the sewage storage tank will remain at the maximum height or close to the maximum height for a long time. At this time, a "first-level alarm" should be issued to promptly remind the staff on the transport ship to investigate the problem and prevent safety risks.

[0077] The third case:

[0078] S231´, when the power status monitoring data transmitted to the Internet cloud server through the onboard monitoring system of the transport ship shows that "the external power input voltage has dropped below 20% of the rated input voltage of the backup power supply and the duration is greater than 5 minutes", it is preliminarily determined that there is a risk that requires a "Level 3 Alarm";

[0079] S232', based on the ship position information provided by the GPS or Beidou positioning unit, verify the "three-level alarm" situation initially determined in S231'. If the real-time position information of the ship shows that "the ship has been staying in a certain place for a long time and continuously for a period of time and is in a suspended state", the verification fails and the aforementioned "three-level alarm" risk is rejected. Otherwise, the verification passes and the aforementioned alarm risk is accepted;

[0080] The following is an explanation of the third situation. When the transport ship is stopped, the onboard monitoring system of the transport ship has no external power supply, which is normal; but if the external power supply of the onboard monitoring system of the transport ship is disconnected when it is not stopped, the reason may be accidental factors such as loose plugs and line failures, but in many cases it is malicious human factors, that is, trying to evade monitoring by cutting off power, so at this time a "level three alarm" is issued to remind the staff on the transport ship and the competent department to investigate the problem;

[0081] After determining various abnormal situations that require early warning and alarm, the Internet server can remind system administrators, staff on the transport ship, the shipping company where the transport ship is located, and transportation regulatory departments through system messages, WeChat, telephone, etc., to promptly handle various warning situations and investigate various risks.

[0082] The Internet cloud server can calculate the "risk score" of all transport ships included in the monitoring scope within a unit time based on the level of early warning and alarm, the number of implementation times and the frequency, through the weighted scoring method, and pay special attention to the transport ships whose "risk score" exceeds the specified requirements. Subsequent measures may include reminding the staff on board to conduct regular self-inspections, arranging system maintenance personnel to regularly go on board for inspections, and listing them as key inspection targets during subsequent on-site risk inspections.

[0083] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A system for monitoring a ship sewage storage process, comprising: Transport shipboard monitoring system, Internet cloud server: Features: The onboard monitoring system of the transport ship includes: liquid level monitoring unit, water quality ammonia nitrogen monitoring unit, backup power supply and power management unit, GPS or Beidou positioning unit, system control and communication unit; the system control and communication unit has built-in individual identity identification information, and can use 4G / 5G mobile communication technology to regularly transmit monitoring data to the Internet cloud server, and can also receive control signals sent by the Internet cloud server; The Internet cloud server is used to receive individual identification information and various monitoring data transmitted by the onboard monitoring system of the transport ship, analyze the monitoring data, determine various risks, and implement graded early warning and alarm; The steps for the Internet cloud server to analyze monitoring data, assess risks, and determine early warnings and alarms include: S111. When the liquid level monitoring data transmitted to the Internet cloud server through the transport ship's onboard monitoring system shows that the liquid level monitoring data fluctuates violently within the first specified time period, the Internet cloud server sends a control signal to the transport ship's onboard monitoring system, requiring the liquid level monitoring unit to verify the monitoring data within the specified time period and retransmit the verified data to the cloud server; wherein: the length of the first specified time period is 6 hours; S112. If the monitoring data within the specified time period resent by the onboard monitoring system of the transport ship to the Internet cloud server still shows "violent fluctuations", and the linear fitting slope of the fluctuation data differs from the linear fitting slope of the original fluctuation data by less than 10%, it is determined that there is a risk requiring a "first level warning"; S121. When the liquid level monitoring data transmitted to the Internet cloud server through the transport ship's onboard monitoring system shows that the liquid level remains stable within the second specified time period, the Internet cloud server sends a control signal to the transport ship's onboard monitoring system, requiring the liquid level monitoring unit to verify the monitoring data within the specified time period and retransmit the verified data to the cloud server; wherein: the length of the second specified time period is 3 days; S122. If the monitoring data in the second specified time period resent by the onboard monitoring system of the transport ship to the Internet cloud server still shows to be stable and unchanged, and the difference between the linear fitting slope of the fluctuation data and the linear fitting slope of the original fluctuation data is less than 10%, it is determined that there is a risk requiring a "secondary alarm"; S123. When the alarm conditions in S122 are met, if the monitoring data simultaneously shows that the liquid level is not less than 95% of the maximum height of the sewage storage tank of the transport ship, it is determined that there is a risk requiring a "level one alarm".

2. A system for monitoring the storage process of ship sewage according to claim 1, characterized in that: The process of the Internet cloud server verifying the alarm situation is as follows: The water quality ammonia nitrogen monitoring unit regularly transmits the water quality ammonia nitrogen value in the sewage storage cabinet back to the Internet cloud server through the system control and communication unit; When the Internet cloud server analyzes the liquid level monitoring data and determines the "first level alarm" risk described in S123, it should also verify the alarm situation based on the difference between the ammonia nitrogen value of the water quality before the first specified time period and the ammonia nitrogen value of the water quality within the first specified time period; if the ammonia nitrogen value of the water quality within the first specified time period is less than 10% of the ammonia nitrogen value of the water quality before the first specified time period, the "first level alarm" risk verification passes; otherwise, the verification fails and the aforementioned "first level alarm" risk is rejected.

3. A system for monitoring the storage process of ship sewage according to claim 2, characterized in that: The working mode of the liquid level monitoring unit is as follows: The liquid level monitoring unit comprises: a data acquisition module, a first data storage module, a data analysis module, and a second data storage module; The data acquisition module acquires raw measurement data in real time through the sensor and stores the raw measurement data in the first data storage module. The data acquisition module can periodically clear the raw measurement data stored in the first data storage module within a preset specified time period; The data analysis module can divide the raw measurement data acquired continuously and in real time into multiple segments according to a preset time frequency, and take the arithmetic mean of all the raw measurement data in each time segment, and store the mean value and its corresponding time segment in the second data storage module; the data in the second data storage module is regularly transmitted to the cloud server through the system control and communication unit, and the data in the second data storage module is cleared after the transmission is successful; when the data acquisition module regularly clears the raw measurement data stored in the first data storage module within a preset specified time period, it should be after "the Internet cloud server has undergone risk assessment and confirmed that there are no environmental and safety risks within the time period".

4. A system for monitoring the storage process of ship sewage according to claim 3, characterized in that; The process of limiting the specified time period in step S111 and the specified time period in step S121 is as follows: The verification of the monitoring data within the specified time period described in step S111 is specifically "performing a low-pass filter with a cutoff frequency of a first specified frequency on the data within the specified time period"; the first specified frequency is 1.0 cycle / hour; The verification of the monitoring data within the specified time period described in step S111 is specifically to reduce the time frequency used by the data analysis module of the liquid level monitoring unit for data processing, that is, to increase the length of the time segment for averaging processing; and reprocess the monitoring data within the specified time period; The verification of the monitoring data within the specified time period described in step S121 is specifically to increase the time frequency used by the data analysis module of the liquid level monitoring unit when performing data processing, that is, to reduce the length of the time segment for averaging processing; and reprocess the monitoring data within the specified time period; When the time frequency used in step S111 is reduced, the reduced time frequency is 0.1 times / minute; when the time frequency used in step S121 is increased, the increased time frequency is 1.0 times / minute.

5. A system for monitoring the storage process of ship sewage according to claim 4, characterized in that: When the transport ship's onboard monitoring system retransmits the verified data to the cloud server, the cloud server will also compare the difference in the discrete coefficient of the data before and after the verification, and use it as a reference for determining early warnings and alarms. The specific process is as follows: When the difference in the dispersion coefficient of the data before and after the verification is less than the first specified difference value, the "first level warning" risk described in S112 is rejected, otherwise it is accepted; when the difference in the dispersion coefficient of the data before and after the verification is greater than the second specified difference value, the "second level alarm" risk described in S122 or the "first level alarm" risk described in S123 is rejected, otherwise it is accepted; The first specified difference value and the second specified difference value are both 20%; the data dispersion coefficient is defined as: C v =s / m Among them, C v is the coefficient of dispersion of the specified data set, σ is the standard deviation of the data set, and μ is the mean value of the data set.

6. A system for monitoring the storage process of ship sewage according to claim 5, characterized in that: The backup power supply and power management unit work in the following way: The backup power supply and power management unit includes a backup power supply module and a power management module; the backup power supply module supplies power to the onboard monitoring system of the transport ship and is charged by an external power supply at the same time; the power management module monitors the external power input voltage, the existing power of the backup power supply, and the estimated time when the backup power supply is exhausted, and regularly transmits the power status monitoring data to the Internet cloud server through the system control and communication unit; when the Internet cloud server determines based on the power status monitoring data that "the external power input voltage has dropped below 20% of the rated input voltage of the backup power supply and the duration is greater than 5 minutes", it is determined that there is a risk requiring a "third-level alarm"; when the Internet cloud server determines based on the power status monitoring data that "the estimated time when the backup power supply is exhausted is less than 2 hours", it is determined that there is an abnormal condition requiring a "second-level warning".

7. A system for monitoring the storage process of ship sewage according to claim 6, characterized in that: The Internet cloud server can calculate the "risk score" of all transport ships included in the monitoring scope within a unit time based on the level and number of implementation of early warnings and alarms through a weighted scoring method, and list the transport ships whose "risk score" exceeds the specified requirements as key inspection targets during the subsequent on-site risk investigation.

8. A system for monitoring the storage process of ship sewage according to claim 7, characterized in that: The working mode of GPS or Beidou positioning unit is: The geographical location information of the transport ship is regularly transmitted back to the Internet cloud server through the system control and communication unit; when the Internet cloud server analyzes the liquid level monitoring data and determines the "secondary alarm" risk, or analyzes the power status monitoring data and determines the "third-level alarm" and "secondary warning" risks, it should also verify the alarm or warning situation based on the real-time position information of the ship provided by the GPS or Beidou positioning unit; if the real-time position information of the ship shows that "the ship has been staying in a certain place for a long time and continuously for a period of time and is in a suspended state", the verification fails and the aforementioned alarm or warning risk is rejected; otherwise, the verification passes and the aforementioned alarm or warning risk is accepted.

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