System for monitoring ship garbage collection and delivery process

Abstract

The invention provides a system for monitoring a ship garbage collection and delivery process, which can realize whole-process automatic monitoring of the ship garbage collection and delivery process, can give an alarm and early warning aiming at various risks, and comprises a ship garbage collection device, a port garbage receiving device and an internet cloud server. The marine garbage collection device comprises a first garbage storage unit, a first garbage weight monitoring unit, a standby power supply and power supply management unit, a Beidou positioning unit and a first system control and communication unit; the port garbage receiving device comprises a second garbage storage unit, a second garbage weight monitoring unit and a second system control and communication unit; the internet cloud server receives and analyzes various monitoring data, and gives an alarm and early warning for various risks. According to the method, the existing ship garbage treatment level can be improved, the treatment effect is improved, and the method has a wide application prospect.

Description

Technical Field

[0001] The present invention relates to the technical field of ship garbage monitoring, and in particular to a system for monitoring the collection and delivery process of ship garbage. Background Art

[0002] Ship garbage refers to the domestic waste and other solid wastes generated by ships in their daily activities. Generally, inland ports have set up ship garbage receiving stations to receive ship garbage from ships at the port.

[0003] In addition, according to the regulations of the maritime department, ships at the port should truthfully report to the port and relevant departments the amount of ship garbage delivered when docking. However, in reality, there is widespread false delivery. That is, ships at the port report the amount of garbage delivered to the port when docking but have not actually delivered the ship garbage, or even when they are not docking, or the actual amount of ship garbage delivered is far less than the reported amount of garbage delivered.

[0004] However, in actual circumstances, in order to save operating costs, the number of staff on some ships fails to meet the minimum requirement, but when reporting to the port, the number of staff on board is fictitious in order to meet national standards.

[0005] Based on the above background, this solution provides a system for effectively monitoring the process of ship garbage collection and delivery. It not only realizes the full automatic monitoring of the process of ship garbage collection and delivery, but also can provide targeted alarms and early warnings for environmental risks such as "false delivery", safety risks such as "the actual number of people on board is lower than the reported number at the port", and abnormal power failures of monitoring equipment, abnormal electromagnetic interference and other abnormal conditions. Summary of the invention

[0006] Based on the technical problems existing in the background technology, the present invention proposes a method for effectively monitoring the collection and delivery process of ship garbage. Through targeted hardware settings and real-time data analysis, the collection and delivery process of ship garbage can be monitored and various risks can be alarmed and warned, which is helpful to improve the existing ship garbage management level, improve the management quality, and check the risks of ship navigation safety, which has broad application prospects. Including:

[0007] The marine garbage collection device is mounted on a ship and includes a first garbage storage unit, a first garbage weight monitoring unit, a backup power supply and power management unit, a Beidou positioning unit, and a first system control and communication unit; the first system control and communication unit has built-in individual identity identification information, and can transmit monitoring data to an Internet cloud server regularly with the help of 4G / 5G mobile communication technology, and can also receive control signals sent by the Internet cloud server;

[0008] The port garbage receiving device is installed at the port garbage receiving place, and includes a second garbage storage unit, a second garbage weight monitoring unit, and a second system control and communication unit;

[0009] The Internet cloud server is used to receive various monitoring data transmitted by the first system control and communication unit of the ship-based intelligent garbage collection device and the second system control and communication unit of the port garbage receiving device. At the same time, it can obtain the total number of people on board the reporting ship through manual input or third-party platform data import. The Internet cloud server conducts a comprehensive analysis of the above data, evaluates various risks, and conducts graded alarms and warnings.

[0010] Preferably, the steps of the Internet cloud server analyzing monitoring data, assessing risks and determining alarms and warnings include:

[0011] S111. Compare the garbage delivery volume indicated by the change of weight monitoring data of ship-borne garbage collection devices before and after delivery when the ship delivers garbage at the port, and the garbage acceptance volume indicated by the change of weight monitoring data of port garbage receiving devices before and after delivery. If the difference between the two is greater than 10% of the garbage acceptance volume, it is determined that there is a risk that requires a "level one alarm".

[0012] S121. Based on the total number of people on board in the port reporting data and the additional amount of garbage indicated by the garbage weight monitoring data during the specified time period, the actual per capita daily garbage generation during the voyage period is calculated and compared with the specified standard. If it is lower than 80% of the specified standard, it is determined that there is a risk that requires a "secondary alarm".

[0013] S211. When the weight monitoring data transmitted to the Internet cloud server through the ship-borne garbage collection device shows that the garbage stored in the first garbage storage unit has reached 80% of the maximum designed loading capacity of the storage unit, it is determined that there is a risk requiring a "first level warning";

[0014] S221. When the weight monitoring data transmitted to the Internet cloud server through the ship garbage collection device shows that the weight monitoring data fluctuates violently within the first specified time period, the Internet cloud server sends a control signal to the ship garbage collection device, requiring the weight 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;

[0015] S222. If the monitoring data resent by the ship garbage collection device to the Internet cloud server within the specified time period 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 "secondary warning";

[0016] S231, when the weight monitoring data transmitted to the Internet cloud server through the ship garbage collection device shows that the weight of the garbage in the first garbage storage unit is stable and unchanged within the second specified time period, the Internet cloud server sends a control signal to the ship garbage collection device, requiring the ship garbage collection device 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;

[0017] S232. If the monitoring data in the second specified time period resent by the ship garbage collection device to the Internet cloud server still appears 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 "level 3 warning".

[0018] Preferably, the garbage weight monitoring unit works as follows:

[0019] The garbage weight monitoring unit includes: a data acquisition module, a first data storage module, a data analysis module, and a second data storage module;

[0020] 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 specified 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".

[0021] Preferably, the process of limiting the specified time period in step S211 and the specified time period in step S221 is as follows:

[0022] The verification of the monitoring data within the specified time period described in step S211 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;

[0023] The verification of the monitoring data within the specified time period described in step S211 may specifically include: reducing the time frequency used by the data analysis module of the weight 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;

[0024] The verification of the monitoring data within the specified time period described in step S221 is specifically to increase the time frequency used by the data analysis module of the weight 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;

[0025] When the time frequency used in step S221 is increased, the increased time frequency is 1.0 times / minute.

[0026] 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:

[0027] When the relative difference of the dispersion coefficient of the data before and after the verification is less than the first specified relative difference value, the "secondary warning" risk described in S222 is rejected, otherwise it is accepted; when the relative difference of the dispersion coefficient of the data before and after the verification is greater than the second specified relative difference value, the "third level warning" risk described in S232 is rejected, otherwise it is accepted;

[0028] Preferably, the first specified relative difference value and the second specified relative difference value are both 20%; the data dispersion coefficient is defined as:

[0029] C v =σ / μ

[0030] 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.

[0031] Preferably, the backup power supply and the power management unit work in the following manner:

[0032] 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 ship garbage collection device and is charged by an external power supply at the same time; the power management module monitors the external power supply 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 first system control and communication unit; when the Internet cloud server determines based on the power status monitoring data that "the external power supply 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 "level 3 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 "level 4 warning".

[0033] Preferably, the working mode of the Beidou positioning unit is:

[0034] Regularly transmit the geographical location information of the vessel back to the Internet cloud server through the first system control and communication unit;

[0035] The Internet cloud server will verify the ship's behavior of delivering garbage at the port based on the ship's real-time location information; if the ship's geographical location does not match the port's geographical location, regardless of whether the garbage delivery volume increased by the weight monitoring data of the ship's garbage collection device matches the weight monitoring data of the port's garbage receiving device, it is determined that there is a risk that requires a "level one alarm";

[0036] When the Internet cloud server analyzes the weight monitoring data and determines the "level three warning" risk, or analyzes the power status monitoring data and determines the "level three alarm" and "level four warning" risks, it will also verify the alarm or warning situation based on the real-time position information of the ship provided by the 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.

[0037] Preferably, the Internet cloud server can calculate the "risk score" of all ships included in the monitoring scope within a unit time based on the level and number of implementation of warnings and alarms through a weighted scoring method, and list the ships whose "risk score" exceeds the specified requirements as key inspection targets during the subsequent on-site risk inspection on board.

[0038] Preferably, the Internet cloud server can, based on the monitoring data reported by the ship-borne garbage collection devices and the port garbage receiving devices at various ports along the waterway, provide, through telephone, short messages, WeChat, etc., prompts the acceptable amount of garbage receiving points at nearby ports for ships at sea whose existing onboard garbage volume exceeds 80% of the designed maximum onboard garbage volume, and can also provide prompts of the expected time when the ship will be fully loaded with garbage based on the daily garbage generation of the ship in the past period of time. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] 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.

[0040] Figure 1 This is a structural example diagram of a system for monitoring the ship garbage collection and delivery process proposed by the present invention.

[0041] Figure 2 This is a structural function relationship diagram among the garbage storage unit, garbage weight monitoring unit, system control and communication unit, backup power supply and power management unit, and Beidou positioning unit in the ship-based garbage collection device. DETAILED DESCRIPTION

[0042] like Figure 1-2 As shown, a system for monitoring the process of ship garbage collection and delivery includes:

[0043] A ship garbage collection device, mounted on a ship, comprises a first garbage storage unit, a first garbage weight monitoring unit, a backup power supply and power management unit, a Beidou positioning unit, and a first system control and communication unit;

[0044] The first garbage weight monitoring unit, backup power supply and power management unit, and Beidou positioning unit can provide various types of monitoring data in real time; the first system control and communication unit has built-in individual identity recognition 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;

[0045] The port garbage receiving device is installed at the port garbage receiving place, and includes a second garbage storage unit, a second garbage weight monitoring unit, and a second system control and communication unit;

[0046] The Internet cloud server is used to receive various monitoring data transmitted by the first system control and communication unit of the ship-based intelligent garbage collection device and the second system control and communication unit of the port garbage receiving device. At the same time, it can obtain the total number of people on board the reporting ship through manual input or third-party platform data import. The Internet cloud server conducts a comprehensive analysis of the above data, evaluates various risks, and conducts graded alarms and warnings.

[0047] The garbage weight monitoring unit includes: a data acquisition module, a first data storage module, a data analysis module, and a second data storage module;

[0048] The data acquisition module acquires the original measurement data in real time through the sensor, and stores the original measurement data in the first data storage module. The data acquisition module can regularly clear the original measurement data stored in the first data storage module within a preset specified time period; the data analysis module can divide the original measurement data acquired continuously and in real time into multiple segments according to the specified time frequency, and take the arithmetic mean of all the original 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 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 original measurement data stored in the first data storage module within a preset specified time period, it should be after "the Internet cloud server has been risk assessed and confirmed that there is no environmental protection and safety risk in this time period". Among them, the time frequency of taking the average value of the original measurement data segment is 0.1 times / minute, 0.2 times / minute, 0.5 times / minute or 1.0 times / minute.

[0049] 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 ship garbage collection device 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.

[0050] Marine garbage collection device: 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 weight 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 example, data verification instructions) for the uploaded data.

[0051] There are three situations in which the Internet cloud server analyzes monitoring data, assesses risks and determines alarms, as follows:

[0052] The first alarm situation: when a ship delivers garbage at the port, the amount of garbage delivered is indicated by the changes in the weight monitoring data of the ship's garbage collection device before and after delivery, and the amount of garbage received is indicated by the changes in the weight monitoring data of the port's garbage receiving device before and after delivery. If the difference between the two is greater than 10% of the amount of garbage received, or although the difference between the two is not greater than 10% of the amount of garbage received, but the geographical location of the ship indicated by the Beidou positioning unit does not match the geographical location of the port, it is determined that there is a risk that requires a "level one alarm".

[0053] The second alarm situation: Based on the total number of people on board in the port reporting data and the additional amount of garbage indicated by the garbage weight monitoring data in the specified time period, the actual per capita daily garbage generation during the voyage period is calculated and compared with the specified standard. If it is lower than 80% of the specified standard, it is determined that there is a risk that requires a "secondary alarm".

[0054] The third alarm situation: 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", and at the same time the geographic location information prompted by the Beidou positioning unit shows that "the ship is not in a stop state", it is determined that there is a risk that requires a "level 3 alarm".

[0055] The following is a description of the three alarm conditions mentioned above.

[0056] The first case is the alarm monitoring during garbage delivery. If the garbage delivery amount prompted by the ship's garbage collection device does not match the garbage delivery amount prompted by the port's garbage receiving device, and the difference is greater than 10% of the garbage received, it means that there is a high probability that there is a problem with the garbage delivery process, and it is most likely a "false delivery". If the geographical location of the ship does not match the geographical location of the port, it means that the garbage delivery is definitely a "false delivery". In actual situations, it is often the case that ship staff and port staff cooperate with each other to make false deliveries. Therefore, an alarm should be issued to remind the management department to check and enforce the law.

[0057] The second situation is the alarm monitoring during the garbage collection process. If the per capita garbage generation calculated based on the total number of people on board in the port reporting data deviates too much from the specified standard (lower than 80% of the specified standard), it means that "the actual number of people on board the ship is lower than the reported number at the port" and "the actual number of people on board the ship is consistent with the reported number at the port, but garbage is randomly discarded during the voyage, polluting the waterway environment". The former is a potential navigation safety risk, and the latter is an environmental risk. Both situations require an alarm to remind the management department to investigate the problem.

[0058] The third situation is also the alarm monitoring during the garbage collection process. When the ship's garbage collection device is disconnected from the external power supply, the reason may be accidental factors such as loose plugs, line failures, and long-term idleness of the ship. It may also be a malicious human factor, that is, trying to evade monitoring by cutting off the power. Therefore, an early warning should be issued to remind the crew on board to investigate the cause of the power outage. Of course, if the Beidou positioning unit prompts 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", there is no need to alarm, because the diesel generator on the ship does not work in the suspended state and cannot continuously power the ship's garbage collection device.

[0059] There are three situations in which the Internet cloud server analyzes monitoring data, assesses risks and determines warnings, as follows:

[0060] The first warning situation: When the weight monitoring data transmitted to the Internet cloud server through the ship-borne garbage collection device shows that the garbage stored in the first garbage storage unit has reached 80% of the maximum design loading capacity of the storage unit, it is determined that there is a risk requiring a "level one warning".

[0061] The specific steps for the second warning situation include:

[0062] S221´, when the weight monitoring data transmitted to the Internet cloud server through the ship garbage collection device shows that the weight monitoring data fluctuates violently within the first specified time period, the Internet cloud server sends a control signal to the ship garbage collection device, requiring the weight 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;

[0063] S222´, after receiving the control signal from the Internet cloud server requesting data verification, the ship garbage collection device performs data verification in any of the following two ways:

[0064] 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;

[0065] The time frequency used by the data analysis module of the weight monitoring unit for data processing is reduced (i.e., the length of the time segment for averaging processing is increased), and the monitoring data within the specified time is reprocessed. Preferably, the reduced time frequency is 0.1 times / minute.

[0066] S223´, the ship garbage collection device 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 "secondary warning";

[0067] S224', 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 "secondary warning" risk initially determined in S223' is rejected, otherwise it is accepted; preferably, the first specified difference value is 20%; the data dispersion coefficient is defined as:

[0068] C v = σ / μ

[0069] 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.

[0070] The following is an explanation of the second warning situation;

[0071] When the weight 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;

[0072] To this end, the Internet cloud server sends a control signal to the ship garbage collection device, requiring the weight 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 sewage normally enters and exits the sewage storage cabinet are low-frequency signals, and the period is measured 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 measured 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;

[0073] If the verified data retransmitted from the ship garbage collection device to the cloud server still shows "violent fluctuations", the cloud server needs to further compare the relevant parameters of the data before and after 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 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.

[0074] The specific steps for the third warning situation include:

[0075] S231´, when the weight monitoring data transmitted to the Internet cloud server through the ship garbage collection device shows that the weight monitoring data is stable and unchanged within the second specified time period, the Internet cloud server sends a control signal to the ship garbage collection device, requiring the weight 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;

[0076] S232', after receiving the control signal sent by the Internet cloud service requesting data verification, the ship garbage collection device increases the time frequency used by the data analysis module of the weight 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;

[0077] S233´, the ship garbage collection device 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 requiring a "level 3 warning";

[0078] S234', 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 "level 3 warning" risk initially determined in S233' is rejected, otherwise it is accepted; preferably, the second specified difference value is 20%; the data dispersion coefficient is defined as:

[0079] C v = σ / μ

[0080] 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;

[0081] S235´, the cloud server will conduct a second verification of the warning situation determined in S234´ based on the real-time position information of the ship provided by the Beidou positioning unit; if "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 will fail and the "level 3 warning" risk determined in S234´ will be rejected. Otherwise, it will be accepted and the "level 3 warning" risk will be finally confirmed.

[0082] The following is an explanation of the third warning situation; under normal circumstances, the weight data in the garbage storage unit should show obvious growth or decrease periodically (i.e., garbage entering or garbage being delivered); but if there is a long-term stable phenomenon, it indicates that there may be a problem of "garbage not being stored in the garbage storage unit in the prescribed manner during navigation, and garbage being discarded at will"; 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, and the Beidou positioning data does not show that the ship is in a suspended state, a "level three warning" should be issued to remind the staff on the ship and the competent department to investigate the problem.

[0083] The specific steps for the fourth warning situation include:

[0084] S241´, when the power status monitoring data transmitted to the Internet cloud server through the ship garbage collection device 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 "Level 4 Warning";

[0085] S242´, based on the real-time position information of the ship provided by the Beidou positioning unit, verify the "fourth level warning" situation initially determined in S241´; 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 "fourth level warning" risk initially determined in S241´ is rejected; otherwise, the verification passes and the aforementioned warning risk is accepted;

[0086] The following is an explanation of the fourth warning situation; generally, without shore power, once the ship stops sailing, all electrical facilities on board will lose power; at this point, the backup power supply of the monitoring system will soon be exhausted, thus reaching the preliminary determination conditions of the "Level 4 Warning"; but this is normal and no special attention is required; what actually needs attention is the situation where "the backup power supply of the ship's garbage collection device can no longer meet the working requirements due to loss and other reasons and needs to be replaced"; but since the system is normally powered by the ship's onboard generator, the lack of backup power at this time will not immediately affect the system's operation, so it is set to the lowest level of "Level 4 Warning" to remind the staff on the ship to replace it in time.

[0087] After determining various abnormal situations that require alarms and warnings, the Internet server can remind system managers, transport ship staff, the shipping company where the transport ship is located, and transportation regulatory departments through system messages, WeChat, telephone, etc., so as to promptly handle various alarm situations, troubleshoot system failures and human interference, and reduce various risks.

[0088] The Internet cloud server can calculate the "risk score" of all ships included in the monitoring scope within a unit time based on the level, number and frequency of alarms and warnings, through a weighted scoring method, and pay special attention to ships whose "risk score" exceeds the specified requirements. Subsequent measures may include reminding shipboard staff 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.

[0089] Based on the monitoring data reported by the ship garbage collection device and the port garbage receiving devices at various ports along the waterway, the Internet cloud server can provide the acceptable amount of garbage receiving places at nearby ports to ships at sea whose existing garbage onboard exceeds 80% of the maximum garbage loading capacity of the first garbage storage unit through phone calls, short messages, WeChat, etc., and can also provide the expected time for the ship to be fully loaded with garbage based on the daily garbage generation of the ship at sea in the past period of time. The above prompts help ships at sea to reasonably evaluate the time and location of the port, taking into account the work task requirements and the governance requirements of garbage delivery.

[0090] 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 the collection and delivery of ship garbage, characterized in that: include: The marine garbage collection device is mounted on a ship and includes a first garbage storage unit, a first garbage weight monitoring unit, a backup power supply and power management unit, a Beidou positioning unit, and a first system control and communication unit; the first system control and communication unit has built-in individual identity identification information, and can transmit monitoring data to an Internet cloud server regularly with the help of 4G / 5G mobile communication technology, and can also receive control signals sent by the Internet cloud server; The port garbage receiving device is installed at the port garbage receiving place, and includes a second garbage storage unit, a second garbage weight monitoring unit, and a second system control and communication unit; The Internet cloud server is used to receive various monitoring data transmitted by the first system control and communication unit of the ship-based intelligent garbage collection device and the second system control and communication unit of the port garbage receiving device. At the same time, it can obtain the total number of people on board the reporting ship through manual input or third-party platform data import. The Internet cloud server conducts a comprehensive analysis of the above data, evaluates various risks, and conducts graded alarms and warnings.

2. A system for monitoring the collection and delivery of ship garbage according to claim 1, characterized in that: The steps for the Internet cloud server to analyze monitoring data, assess risks and determine alarms and warnings include: S111. Compare the garbage delivery volume indicated by the change of weight monitoring data of ship-borne garbage collection devices before and after delivery when the ship delivers garbage at the port, and the garbage acceptance volume indicated by the change of weight monitoring data of port garbage acceptance devices before and after delivery. If the difference between the two is greater than 10% of the garbage acceptance volume, it is determined that there is a risk that requires a "level one alarm". S121. Based on the total number of people on board in the port reporting data and the additional amount of garbage indicated by the garbage weight monitoring data during the specified time period, the actual per capita daily garbage generation during the voyage period is calculated and compared with the specified standard. If it is lower than 80% of the specified standard, it is determined that there is a risk that requires a "secondary alarm". S211. When the weight monitoring data transmitted to the Internet cloud server through the ship-borne garbage collection device shows that the garbage stored in the first garbage storage unit has reached 80% of the maximum designed loading capacity of the storage unit, it is determined that there is a risk requiring a "first level warning"; S221. When the weight monitoring data transmitted to the Internet cloud server through the ship garbage collection device shows that the weight monitoring data fluctuates violently within the first specified time period, the Internet cloud server sends a control signal to the ship garbage collection device, requiring the weight 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; S222. If the monitoring data resent by the ship garbage collection device to the Internet cloud server within the specified time period 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 "secondary warning"; S231, when the weight monitoring data transmitted to the Internet cloud server through the ship garbage collection device shows that the weight of the garbage in the first garbage storage unit is stable and unchanged within the second specified time period, the Internet cloud server sends a control signal to the ship garbage collection device, requiring the ship garbage collection device 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; S232. If the monitoring data in the second specified time period resent by the ship garbage collection device to the Internet cloud server still appears 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 "level 3 warning".

3. A system for monitoring the collection and delivery of ship garbage according to claim 2, characterized in that: The garbage weight monitoring unit works as follows: The garbage weight monitoring unit includes: 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 the specified 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 S211 and the specified time period in step S221 is as follows: The verification of the monitoring data within the specified time period described in step S211 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; The verification of the monitoring data within the specified time period described in step S211 may specifically include: reducing the time frequency used by the data analysis module of the weight 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; The verification of the monitoring data within the specified time period described in step S221 is specifically to increase the time frequency used by the data analysis module of the weight 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 S221 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 relative difference of the dispersion coefficient of the data before and after the verification is less than the first specified relative difference value, the "secondary warning" risk described in S222 is rejected, otherwise it is accepted; when the relative difference of the dispersion coefficient of the data before and after the verification is greater than the second specified relative difference value, the "third level warning" risk described in S232 is rejected, otherwise it is accepted; Preferably, the first specified relative difference value and the second specified relative 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 collection and delivery of ship garbage according to claim 2, 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 ship garbage collection device 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 first 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 of requiring a "level 3 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 a risk of requiring a "level 4 warning".

7. A system for monitoring the storage process of ship sewage according to claim 6, characterized in that: The working mode of Beidou positioning unit is: Regularly transmit the geographical location information of the vessel back to the Internet cloud server through the first system control and communication unit; The Internet cloud server will verify the ship's behavior of delivering garbage at the port based on the ship's real-time location information; if the ship's geographical location does not match the port's geographical location, no matter whether the garbage delivery volume increased by the weight monitoring data of the ship's garbage collection device matches the weight monitoring data of the port's garbage receiving device, it is determined that there is a risk that requires a "level one alarm"; When the Internet cloud server analyzes the weight monitoring data and determines the "three-level warning" risk, or analyzes the power status monitoring data and determines the "three-level alarm" and "four-level warning" risks, it will also verify the alarm or warning situation based on the real-time position information of the ship provided by the 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.

8. A system for monitoring the collection and delivery of ship garbage according to claim 2, characterized in that: The Internet cloud server can calculate the "risk score" of all 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 ships whose "risk scores" exceed the specified requirements as key inspection targets during the subsequent on-site risk investigation.

9. A system for monitoring the collection and delivery of ship garbage according to claim 8, characterized in that: Based on the monitoring data reported by ship-borne garbage collection devices and port garbage receiving devices at various ports along the waterway, the Internet cloud server can provide prompts of the acceptable amount of garbage receiving areas at nearby ports through telephone, short messages, WeChat, etc. to ships at sea whose existing onboard garbage volume exceeds 80% of the maximum design loading capacity of the first garbage storage unit. It can also provide prompts of the expected time when the ship will be fully loaded with garbage based on the daily garbage generated by the ship in the past period of time.

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