A system for monitoring the process of ship garbage collection and delivery

Abstract

The present invention provides a system for monitoring the process of ship garbage collection and delivery, which can realize the whole-process automatic monitoring of the ship garbage collection and delivery process, and can implement alarms and early warnings for various risks, including a marine garbage collection device, a port garbage receiving device and an Internet cloud server. The marine garbage collection device includes a first garbage storage unit, a first garbage weight monitoring unit, a backup power supply and a power management unit, a Beidou positioning unit, and a first system control and communication unit; the port garbage receiving device includes a second garbage storage unit, a second garbage weight monitoring unit, and a second system control and communication unit; the Internet cloud server receives various monitoring data and conducts analysis, and implements alarms and early warnings for various risks. The present invention helps to improve the existing level of ship garbage governance, enhance the governance effect, and has broad application prospects.

Description

Technical Field

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

[0002] Ship garbage refers to domestic waste and other various solid wastes generated by ships during their daily activities. Generally, ship garbage receiving stations are set up at inland river ports to receive the ship garbage of berthed vessels.

[0003] In addition, according to the regulations of the maritime department, berthed vessels should truthfully report the amount of ship garbage delivered when berthing to the port and relevant departments. However, in actual situations, there are generally false delivery behaviors. That is, when a berthed ship has not actually delivered ship garbage, or even when it has not berthed, it reports the garbage delivery amount to the port, or the actual amount of ship garbage delivered is much less than the reported garbage delivery amount.

[0004] But in actual situations, to save operating costs, the number of crew members on some ships fails to meet the minimum requirements, but when reporting to the port, they fabricate the number of people on board to meet the national standards.

[0005] Based on the above background, this solution provides a system for effectively monitoring the collection and delivery process of ship garbage, which not only realizes the full-automatic monitoring of the collection and delivery process of ship garbage, but also can conduct targeted alarms and early warnings for environmental protection risks such as "false delivery", safety risks such as "the actual number of people on board is less than the reported number", and abnormal conditions such as abnormal power-off of monitoring equipment and abnormal electromagnetic interference. Summary of the Invention

[0006] Based on the technical problems existing in the background art, the present invention proposes a method for effectively monitoring the collection and delivery process of ship garbage, which can monitor the collection and delivery process of ship garbage and conduct alarms and early warnings for various risks through targeted hardware settings and real-time data analysis, helps to improve the existing ship garbage treatment level, improve the treatment quality, and can detect ship navigation safety risks, and has broad application prospects. It includes:

[0007] A ship garbage collection device, installed on a ship, including a first garbage storage unit, a first garbage weight monitoring unit, a backup power supply and a power management unit, a Beidou positioning unit, and a first system control and communication unit; the first system control and communication unit stores individual identity recognition information, and can regularly transmit monitoring data to the Internet cloud server by means 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 loaded at the port garbage receiving location 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 marine 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 port reporting data such as the total number of people on board the reported ship through manual input or data import from a third-party platform. The Internet cloud server comprehensively analyzes the above data, evaluates various risks, and conducts classified alarm and early warning.

[0010] Preferably, the steps for the Internet cloud server to analyze the monitoring data, evaluate the risks, and determine the alarm and early warning include:

[0011] S111. Compare the garbage delivery volume indicated by the change in the weight monitoring data of the marine garbage collection device before and after the delivery of garbage by the ship at the port, and the garbage acceptance volume indicated by the change in the weight monitoring data of the port garbage receiving device before and after the 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 1 alarm".

[0012] S121. Based on the total number of people on board in the port reporting data and the newly increased garbage volume indicated by the weight monitoring data within a specified time period, calculate the actual per capita daily garbage generation volume during the voyage and compare it 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 "Level 2 alarm".

[0013] S211. When the weight monitoring data transmitted to the Internet cloud server through the marine garbage collection device shows that the garbage stored in the first garbage storage unit has reached 80% of the designed maximum loading capacity of the storage unit, it is determined that there is a risk that requires a "Level 1 early warning";

[0014] S221. When the weight monitoring data transmitted to the Internet cloud server through the marine 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 marine garbage collection device, requiring the weight monitoring unit to verify the monitoring data within the specified time period and re-transmit the verified data to the cloud server; where: the length of the first specified time period is 6 hours;

[0015] S222. If the monitoring data within the specified time period re-transmitted by the marine garbage collection device to the Internet cloud server still shows "violent fluctuations", and the difference between the linear fitting slope of the fluctuating data and the linear fitting slope of the original fluctuating data is less than 10%, it is determined that there is a risk that requires a "Level 2 early warning";

[0016] S231. When the weight monitoring data transmitted to the Internet cloud server through the marine garbage collection device shows that the garbage weight in the first garbage storage unit remains stable within the second specified time period, the Internet cloud server sends a control signal to the marine garbage collection device, requiring the marine garbage collection device to verify the monitoring data within the specified time period and re-transmit the verified data to the cloud server; where: the length of the second specified time period is 3 days;

[0017] S232. If the monitoring data within the second specified time period re-transmitted by the marine garbage collection device 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 "third-level warning".

[0018] Preferably, the working mode of the garbage weight monitoring unit is 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 obtains 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 split the continuously acquired raw measurement data into multiple sections according to a specified time frequency, calculate the arithmetic mean of all the raw measurement data within each time section, and store the mean value and its corresponding time section 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 after successful transmission, the data in the second data storage module is cleared; 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 conducted a risk assessment and confirmed that there are no environmental protection and safety risks during this time period".

[0021] Preferably, the process of defining 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 in step S211 is specifically "performing low-pass filtering on the data within the specified time period with a cut-off frequency of the first specified frequency"; 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 also be: 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 period for averaging processing; and reprocessing the monitoring data within the specified time. Preferably, when reducing the time frequency used in step S111, the reduced time frequency is 0.1 times per 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 for data processing, that is, reducing the length of the time period for averaging processing; and reprocessing the monitoring data within the specified time period;

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

[0026] Preferably, when the on-board monitoring system of the transport ship re-transmits the verified data to the cloud server, the cloud server will also compare the difference in the coefficient of variation of the data before and after verification and use it as a reference for determining early warnings and alarms. The specific process is as follows:

[0027] When the relative difference in the coefficient of variation of the data before and after verification is less than the first specified relative difference value, reject the "secondary early warning" risk described in S222, otherwise accept it; when the relative difference in the coefficient of variation of the data before and after verification is greater than the second specified relative difference value, reject the "tertiary early warning" risk described in S232, otherwise accept it;

[0028] Preferably, both the first specified relative difference value and the second specified relative difference value are 20%; the definition of the coefficient of variation of the data is:

[0029] C v = σ / μ

[0030] Where C v is the coefficient of variation of the specified data set, σ is the standard deviation of the data set, and μ is the average value of the data set.

[0031] Preferably, the working mode of the backup power supply and the power management unit is:

[0032] The backup power supply and the power management unit in the marine garbage collection device include a backup power supply module and a power management module. The backup power supply module powers the marine garbage collection device and is charged by an external power supply at the same time. The power management module monitors the input voltage of the external power supply, the remaining power of the backup power supply, and the estimated time until the backup power supply runs out of power, 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 input voltage of the external power supply has dropped below 20% of the rated input voltage of the backup power supply and the duration is greater than 5 minutes", it determines that there is a risk that requires a "level three alarm". When the Internet cloud server determines, based on the power status monitoring data, that "the estimated time until the backup power supply runs out of power is less than 2 hours", it determines that there is an abnormal condition that requires a "level four early warning".

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

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

[0035] The Internet cloud server will verify the behavior of the ship delivering garbage at the port based on the real-time position information of the ship. If the geographical location of the ship does not match the geographical location of the port, regardless of whether the garbage delivery volume indicated by the weight monitoring data of the marine garbage collection device matches the weight monitoring data of the port 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 early warning" risk, or analyzes the power status monitoring data and determines the "level three alarm" and "level four early warning" risks, it will also verify the alarm or early 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 stayed at a certain place for a long time and continuously for a period of time and is in a stopped navigation state", the verification fails and the foregoing alarm or early warning risk is rejected; otherwise, the verification passes and the foregoing alarm or early warning risk is accepted.

[0037] Preferably, the Internet cloud server can calculate the "risk score" of all ships within the monitoring scope per unit time by means of weighted scoring based on the level and implementation times of early warnings and alarms, and list the ships whose "risk score" exceeds the specified requirements as the key inspection objects during the later on-board site risk investigation.

[0038] Preferably, based on the monitoring data reported by the marine garbage collection device and the port garbage receiving devices at each port along the waterway, the Internet cloud server can, through forms such as telephone, short message, and WeChat, prompt the in-navigation ships whose current onboard garbage volume has exceeded 80% of the designed maximum onboard garbage volume about the acceptable volume at the adjacent port garbage receiving places, and can also prompt the expected time of garbage full load based on the daily garbage generation volume of the in-navigation 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 following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can also obtain other drawings based on these drawings without creative efforts.

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

[0041] Figure 2 It is a structural and functional 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 marine garbage collection device. DETAILED DESCRIPTION OF THE EMBODIMENTS

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

[0043] A marine garbage collection device, loaded on a ship, 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;

[0044] The first garbage weight monitoring unit, the backup power supply and power management unit, and the 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 regularly transmit the monitoring data to the Internet cloud server by means of 4G / 5G mobile communication technology, and can also receive the control signals sent by the Internet cloud server;

[0045] A port garbage receiving device, loaded at the port garbage receiving place, 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 marine 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 port reporting data such as the total number of people on board the reporting ship through manual input or data import from a third-party platform. The Internet cloud server comprehensively analyzes the above data, evaluates various risks, and conducts hierarchical alarm and early warning.

[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 obtains 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 delete the raw measurement data stored in the first data storage module within a preset specified time period. The data analysis module can split the continuously acquired raw measurement data into multiple sections according to a specified time frequency, calculate the arithmetic mean of all the raw measurement data in each time section, and store the mean value and its corresponding time section 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 deleted after the transmission is successful. When the data acquisition module periodically deletes 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 conducted a risk assessment and confirmed that there are no environmental protection and safety risks during this time period". Among them, the time frequency for calculating the average value of the raw measurement data in sections 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 two parts: a backup power supply module and a power management module; the backup power supply module supplies power to the marine garbage collection device and is charged by an external power supply at the same time; the power management module monitors the input voltage of the external power supply, the existing power of the backup power supply, and the estimated time until the backup power supply runs out, and periodically transmits the power status monitoring data to the Internet cloud server through the system control and communication unit.

[0050] For the marine garbage collection device: during the period when it is unable 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 of the weight monitoring unit will not perform the regular deletion operation. After reconnecting to the Internet cloud server, completing the data upload, and the Internet cloud server has not issued a control instruction (such as a data verification instruction) for the uploaded data, the regular data deletion operation will be performed.

[0051] There are three situations in which the Internet cloud server analyzes the monitoring data, evaluates the risks, and determines an alarm, which are specifically as follows:

[0052] The first alarm situation: Compare the garbage delivery volume prompted by the change in the weight monitoring data of the shipboard garbage collection device before and after garbage delivery when the ship delivers garbage at the port, and the garbage acceptance volume prompted by the change in the weight monitoring data of the port garbage acceptance device before and after delivery. If the difference between the two is greater than 10% of the garbage acceptance volume, or although the difference between the two is not greater than 10% of the garbage acceptance volume, but the geographical location of the ship prompted by the Beidou positioning unit does not match the geographical location of the port, it is determined that there is a risk of "level 1 alarm".

[0053] The second alarm situation: Calculate the actual per capita daily garbage generation volume during the voyage based on the total number of people on board in the port reporting data and the newly added garbage volume prompted by the garbage weight monitoring data within a specified time period, and compare it with the specified standard. If it is lower than 80% of the specified standard, it is determined that there is a risk of "level 2 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 geographical location information prompted by the Beidou positioning unit shows that "the ship is not in a stopped navigation state", it is determined that there is a risk of "level 3 alarm".

[0055] The following are the descriptions of the above three alarm situations.

[0056] The first situation is the police situation monitoring during garbage delivery. If the garbage delivery volume prompted by the shipboard garbage collection device does not match the garbage delivery volume prompted by the port garbage acceptance device, and the difference is greater than 10% of the garbage acceptance volume, it indicates that there may be problems in the garbage delivery process, mostly "false delivery". If the geographical location of the ship does not match the geographical location of the port, it indicates that this garbage delivery must be "false delivery". In actual situations, it often occurs that the ship's staff and the port staff cooperate with each other for false delivery. Therefore, an alarm should be issued to remind the management department to conduct inspections and enforce the law.

[0057] The second situation is the police situation monitoring during garbage collection. If the per capita garbage generation volume 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 indicates that one of the two situations of "the actual number of people on board the ship is lower than the reported number" and "the actual number of people on board the ship is consistent with the reported number, but there is random garbage throwing during the voyage, polluting the waterway environment" must be the case. The former is a potential navigation safety risk, and the latter is an environmental protection risk. Both situations require an alarm to remind the management department to conduct problem investigations.

[0058] The third situation is also the alarm monitoring during the garbage collection process. When the marine garbage collection device is disconnected from the external power supply, the reasons may be accidental factors such as loose plugs, circuit failures, or the ship being idle for a long time due to long-term suspension of navigation. It may also be due to malicious human factors, that is, attempting to evade monitoring by cutting off the power. Therefore, a warning should be issued to remind the ship's staff to investigate the cause of the power outage. Of course, if the Beidou positioning unit prompts that "the ship has stayed at a certain place for a long time and continuously for a period of time and is in a state of suspended navigation", there is no need to alarm because the diesel generator on the ship does not work in the state of suspended navigation and cannot continuously supply power to the marine garbage collection device.

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

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

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

[0062] S221´. When the weight monitoring data transmitted to the Internet cloud server through the marine 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 marine garbage collection device, requiring the weight monitoring unit to verify the monitoring data within the specified time period and re-transmit the verified data to the cloud server; where: the length of the first specified time period is 6 hours;

[0063] S222´. After the marine garbage collection device receives the control signal sent by the Internet cloud server for data verification, it can perform data verification in any of the following two ways:

[0064] Perform low-pass filtering on the data within the specified time period with a cut-off frequency of the first specified frequency; preferably, the first specified frequency is 1.0 cycle / hour;

[0065] Reduce the time frequency used by the data analysis module of the weight monitoring unit for data processing (that is, increase the length of the time section for averaging processing), and re-process the monitoring data within the specified time. Preferably, the reduced time frequency is 0.1 times / minute.

[0066] S223´. The marine garbage collection device re-transmits the verified data to the cloud server. If the data still shows "severe fluctuations", and the difference between the linear fitting slopes of the fluctuating data and the original fluctuating data is less than 10%, then it is preliminarily determined that there is a risk of "secondary warning".

[0067] S224´. The cloud server compares the difference in the coefficient of variation of the data before and after verification. If the difference in the coefficient of variation of the data before and after verification is less than the first specified difference value, then the "secondary warning" risk preliminarily determined in S223´ is rejected, otherwise it is accepted; preferably, the first specified difference value is 20%; the definition of the coefficient of variation of the data is:

[0068] C v = σ / μ

[0069] where C v is the coefficient of variation of the specified data set, σ is the standard deviation of the data set, and μ is the average value of the data set.

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

[0071] When the weight monitoring data shows severe fluctuations (that is, non-monotonic changes within a specified time period, the change amplitude significantly exceeds the range of systematic errors, resulting in multiple inflection points continuously appearing in the curve, showing multiple peaks or valleys), the cloud server needs to take targeted measures to confirm the reliability of the monitoring data; such severe fluctuations may be caused by the hull bumping, or may be caused by the influence of a high-power electromagnetic interference source placed nearby; the former is a normal phenomenon, and the latter requires targeted warning to remind the staff on the transport ship to conduct a check and quickly eliminate the above interference;

[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] After the marine garbage collection device receives the control signal sent by the Internet cloud service for data verification, it increases the time frequency (i.e., reduces the length of the time period for averaging processing) used by the data analysis module of the weight monitoring unit to process data, and reprocesses the monitoring data within a specified time period; preferably, the increased time frequency is 1.0 times per minute;

[0077] S233´. The marine 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 fluctuating data differs from the linear fitting slope of the original fluctuating data by less than 10%, then it is preliminarily determined that there is a risk of "level-three warning";

[0078] S234´. The cloud server compares the difference in the coefficient of variation of the data before and after verification. If the difference in the coefficient of variation of the data before and after verification is greater than the first specified difference value, it rejects the "level-three warning" risk preliminarily determined in S233´, otherwise it accepts; preferably, the second specified difference value is 20%; the definition of the coefficient of variation of the data is:

[0079] C v = σ / μ

[0080] where C v is the coefficient of variation of the specified data set, σ is the standard deviation of the data set, and μ is the average value of the data set;

[0081] S235´. The cloud server performs a second verification on 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 stays at a certain place for a long time and continuously and is in a non-sailing state", the verification fails and the "level-three warning" risk determined in S234´ is rejected, otherwise it accepts, and finally confirms the "level-three warning" risk.

[0082] The following is an explanation of the third warning situation; under normal circumstances, the weight data in the garbage storage unit should regularly show obvious increases or decreases (i.e., garbage enters or garbage is delivered); but if there is a long-term stable and unchanged phenomenon, it indicates that there may be a problem of "garbage not being stored in the garbage storage unit in accordance with the regulations during navigation and there is an act of randomly discarding garbage"; at this time, if after data verification to find detailed information (reducing the length of the time period for averaging processing can avoid the averaging of detailed information and thus highlight the detailed information), the possibility of the above problem has not been excluded, and the Beidou positioning data does not show that the ship is in a non-sailing state, then a "level-three warning" should be issued to remind the ship's staff and the competent department to conduct problem investigation.

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

[0084] S241´. When the power status monitoring data transmitted to the Internet cloud server through the marine garbage collection device shows that "the estimated power exhaustion time of the backup power supply is less than 2 hours", it is preliminarily determined that there is a risk requiring "Level 4 warning";

[0085] S242´. Based on the real-time ship position information provided by the Beidou positioning unit, verify the "Level 4 warning" situation preliminarily determined in S241´; if the real-time ship position information shows that "the ship has stayed at a certain place for a long time and continuously within a period of time and is in a stopped navigation state", the verification fails and the "Level 4 warning" risk preliminarily determined in S241´ is rejected; otherwise, the verification passes and the foregoing warning risk is accepted;

[0086] The following is the description of the fourth warning situation; generally, when not connected to shore power, once the ship stops navigation, the power supply of all electrical facilities on the ship will be cut off; at this time, the backup power supply of the monitoring system will soon be exhausted, thus meeting the preliminary determination condition of "Level 4 warning"; however, this is a normal situation and does not require special attention; what actually needs to be concerned about is the situation where "the backup power supply of the marine garbage collection device can no longer meet the working requirements due to losses and other reasons and needs to be replaced"; but since the system is normally powered by the shipborne generator, the insufficient function of the backup power supply at this time will not immediately affect the system operation, so it is set as the lowest-level "Level 4 warning" to remind the staff on the ship to replace it in a timely manner.

[0087] After determining various abnormal situations that require alarm and warning, the Internet server can remind the system management personnel, the staff of the transport ship, the shipping company where the transport ship is located, and the transportation supervision department through system messages, WeChat, phone calls, etc., so as to handle various police situations in a timely manner, investigate system failures and human interferences, and reduce various risks.

[0088] The Internet cloud server can calculate the "risk score" of all ships within the monitoring scope per unit time by means of weighted scoring based on the level, implementation times and frequencies of alarms and warnings, and pay key attention to the ships whose "risk score" exceeds the specified requirements. The subsequent measures that can be taken include reminding the staff on the ship to conduct regular self-checks, arranging system maintenance personnel to conduct regular onboard inspections, and listing them as the key inspection objects during the later on-board site risk inspections, etc.

[0089] Based on the monitoring data reported by the marine garbage collection device and the port garbage receiving devices at each port along the waterway, the Internet cloud server can, through forms such as telephone, short message, and WeChat, prompt the in-service ships whose existing on-board garbage volume has exceeded 80% of the maximum garbage loading volume designed for the first garbage storage unit about the acceptable volume at the adjacent port garbage receiving place, and can also prompt the expected time of garbage full load based on the daily garbage generation volume of the in-service ship in the past period of time. The above prompts help the in-service ships reasonably evaluate the berthing time and location, taking into account the work task requirements and the governance requirements of garbage delivery.

[0090] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, making equivalent substitutions or changes should be covered within 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-used intelligent garbage collection device and the second system control and communication unit of the port garbage receiving device. At the same time, the total number of people on board in the port reporting data can be obtained by manual input or data import from a third-party platform. The Internet cloud server conducts a comprehensive analysis of the above data, evaluates various risks, and conducts graded alarms and early warnings; 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 weight monitoring data of the ship's garbage collection device before and after the delivery when the ship delivers garbage at the port, and the garbage acceptance volume indicated by the weight monitoring data of the port's garbage acceptance device before and after the 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 "first-level alarm"; S121. Based on the total number of people on board in the port reporting data and the amount of new 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"; 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".

2. A system for monitoring the collection and delivery of ship garbage according to claim 1, 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".

3. A system for monitoring the collection and delivery process of ship garbage according to claim 2, 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 the first specified frequency on the data within the specified time period", or reducing the time frequency used by the data analysis module of the weight monitoring unit when performing data processing, that is, increasing the length of the time segment for averaging processing; and reprocessing the monitoring data within the specified time period; 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.

4. A system for monitoring the collection and delivery of ship garbage according to claim 3, 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.

5. A system for monitoring the collection and delivery of ship garbage according to claim 1, 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 to 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".

6. A system for monitoring the collection and delivery of ship garbage according to claim 5, 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.

7. A system for monitoring the collection and delivery of ship garbage according to claim 1, 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.

8. A system for monitoring the collection and delivery of ship garbage according to claim 7, 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, and WeChat 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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