Intelligent monitoring and control method for garbage vacuum treatment

Abstract

The application provides an intelligent monitoring control method for garbage vacuum treatment, and belongs to the technical field of intelligent monitoring control, which comprises the following steps: step 1, constructing a new component for a ship kitchen wet garbage treatment system; step 2, performing multi-dimensional data fusion and intelligent decision on the ship kitchen wet garbage treatment system; step 3, performing fault tolerance processing on the sensor fault and calibration deviation of the ship kitchen wet garbage treatment system; and step 4, executing a self-calibration mechanism for the ship kitchen wet garbage treatment system to long-term ensure the monitoring accuracy. Through multi-dimensional monitoring parameter fusion, redundant sensor design, intelligent hierarchical control and a self-calibration mechanism, a reliable monitoring and control system for pipeline vacuum degree is constructed.

Description

Technical Field

[0001] This invention belongs to the field of intelligent monitoring and control technology, specifically relating to an intelligent monitoring and control method for vacuum waste treatment. Background Technology

[0002] In existing shipboard kitchen waste treatment systems, such as the one mentioned in patent publication number "CN120502568A", the vacuum level of the first pipeline of the vacuum collection device (the connecting pipeline from the kitchen waste shredder to the vacuum storage tank) is monitored only by a single pressure control system (PIC): when the PIC detects that the pipeline pressure is lower than a preset threshold, it activates a second discharge pump and a second pneumatic discharge valve to vent air and maintain a vacuum environment. This solution has the following drawbacks:

[0003] Single point of failure risk: If the PIC pressure sensor fails (such as hardware damage or signal interruption), it may misjudge the pipeline vacuum level (such as the actual vacuum is normal but it is judged to be insufficient, or the vacuum is insufficient but it is not detected), resulting in system vacuum failure (inability to suck up and deliver garbage) or excessive venting (wasting energy and disrupting pressure balance).

[0004] Calibration deviation misjudgment: If the PIC develops calibration deviation after long-term use (such as low reading), it may trigger unnecessary venting operations, or the waste conveying efficiency may decrease due to failure to vent in time because the reading is too high.

[0005] Lack of comprehensive judgment: Relying solely on pressure parameters cannot distinguish between different scenarios such as "insufficient vacuum", "pipe blockage", and "sensor deviation", which can easily lead to erroneous control and affect the continuity of wet waste collection. Summary of the Invention

[0006] To address the shortcomings of existing technologies, this invention provides an intelligent monitoring and control method for vacuum waste treatment. Based on the existing ship kitchen wet waste treatment system (patent publication number CN120502568A), this invention constructs a reliable monitoring and control system for pipeline vacuum by integrating multi-dimensional monitoring parameters, redundant sensor design, intelligent hierarchical control, and self-calibration mechanism.

[0007] The present invention employs the following technical solution.

[0008] A smart monitoring and control method for vacuum waste treatment includes:

[0009] Step 1: Build new components for the ship's kitchen wet waste treatment system;

[0010] Step 2: Perform multi-dimensional data fusion and intelligent decision-making on the ship's kitchen wet waste treatment system;

[0011] Step 3: Implement fault-tolerant measures for sensor malfunctions and calibration deviations in the ship's kitchen wet waste treatment system;

[0012] Step 4: Implement a self-calibration mechanism for the ship's kitchen wet waste treatment system to ensure long-term monitoring accuracy.

[0013] Furthermore, in step 1, the newly added components include:

[0014] A backup pressure sensor is connected to the controller of the pressure control system PIC of the ship's kitchen wet waste treatment system. The controller of the pressure control system PIC is also connected to the second discharge pump and the second pneumatic discharge valve of the ship's kitchen wet waste treatment system.

[0015] Furthermore, in step 1, the backup pressure sensor is installed on the first pipe of the ship's kitchen wet waste treatment system and is ≥1m away from the original main pressure sensor. The backup pressure sensor is used to redundantly monitor the pressure of the first pipe and transmit the data to the controller of the pressure control system PIC.

[0016] The waste conveying flow sensor is installed at one end of the first pipeline near the inlet of the vacuum storage tank of the ship's kitchen wet waste treatment system. The waste conveying flow sensor is used to monitor the actual conveying flow of the pulverized wet waste and transmit the data to the controller of the pressure control system PIC.

[0017] The liquid level change rate analysis module includes a liquid level sensor installed on the inner wall of the vacuum storage tank of the ship's kitchen wet waste treatment system. The liquid level sensor is connected to an MCU, and the MCU is connected to the controller of the pressure control system PIC. The liquid level sensor is used to transmit the monitored liquid level in the vacuum storage tank to the MCU. The MCU calculates the liquid level in the vacuum storage tank to obtain the rate of change of the liquid level in the vacuum storage tank per unit time. The MCU also transmits the rate of change of the liquid level in the vacuum storage tank per unit time to the controller of the pressure control system PIC.

[0018] Furthermore, in step 1, the rate of change of liquid level per unit time in the vacuum storage tank The calculation formula is as follows:

[0019] ;

[0020] in , , The current liquid level being monitored. This refers to the liquid level monitored at the previous time step. For the current moment, The previous moment before the current moment.

[0021] Furthermore, in step 2, the controller of the pressure control system PIC collects in real time the main pressure, backup pressure, and conveying flow rate transmitted from the original main pressure sensor, backup pressure sensor, waste conveying flow sensor, and MCU, respectively. With liquid level change rate Four types of data are comprehensively judged through preset logic to achieve accurate monitoring and hierarchical control.

[0022] Furthermore, step 2 specifically includes:

[0023] Step 2-1: Set the baseline parameters;

[0024] Step 2-2: Execute the hierarchical control logic as preset logic.

[0025] Furthermore, in step 2-1, the reference parameters include:

[0026] First-level vacuum threshold : The minimum vacuum level required for the pipeline to operate normally;

[0027] Second-level vacuum threshold : To urgently restore vacuum level in the pipeline, ;

[0028] Normal flow range : This refers to the stable conveying flow rate of the pulverized wet waste when the vacuum level is normal.

[0029] Normal liquid level change rate : The stable rate of rise and fall of the liquid level in the vacuum storage tank when the vacuum level is normal.

[0030] Furthermore, in step 2-2, the hierarchical control logic includes:

[0031] When the pressure monitored by the original main pressure sensor First, verify whether and :

[0032] If both conditions are met, it is confirmed that the vacuum level is insufficient. The controller of the pressure control system PIC will first activate the low-power mode of the second discharge pump, while simultaneously monitoring the pressure change detected by the original main pressure sensor; if within 30 seconds... rebounded to The second discharge pump will remain in low-power mode as described above; if continued and approaching Switch to full power mode until Then stop;

[0033] like or If the condition is not met, then the pressure data monitored by the backup pressure sensor is retrieved. If the pressure data monitored by the backup pressure sensor... show If the original main pressure sensor calibration is determined to be incorrect, the controller of the pressure control system PIC will not start the second exhaust pump to vent, but will only output a "original main pressure sensor calibration prompt" message; if the pressure data monitored by the backup pressure sensor... Also shows Further check whether the pipe is blocked, that is, if but If the system detects a blockage in the pipe, it outputs a "pipe blockage alarm" message, and the controller of the pressure control system PIC does not start the second exhaust pump to release air.

[0034] Furthermore, step 3 specifically includes:

[0035] Step 3-1: Fault tolerance handling for single-point sensor failures:

[0036] If the primary pressure sensor fails: the PIC controller of the pressure control system automatically switches to the pressure data monitored by the backup pressure sensor as the primary monitoring parameter, combined with... and Judgment: If the pressure data is monitored using a pressure sensor as well as and The controller of the pressure control system PIC does not start the second exhaust pump to vent; if the backup pressure sensor is normal, the ship's kitchen wet waste treatment system is maintained and the message "original main pressure sensor fault alarm" is output.

[0037] If both the backup pressure sensor and the original main pressure sensor fail: relying solely on and Make a judgment: if and If the vacuum level in the pipeline is determined to be insufficient, the controller of the pressure control system PIC will start the second exhaust pump at full power to vent, and at the same time output a "dual pressure sensor fault alarm" message; if and Maintain the operation of the ship's kitchen wet waste treatment system and trigger an alarm;

[0038] Step 3-2: Correct the calibration deviation.

[0039] Furthermore, step 3-2 specifically includes:

[0040] When the absolute value of the difference between the pressure data monitored by the primary pressure sensor and the pressure data monitored by the backup pressure sensor exceeds a preset deviation threshold, the controller of the pressure control system PIC calls... and Historical normal data, and The normal pressure value is used as a reference to correct sensor readings with large deviations and output a "sensor calibration complete" message.

[0041] Furthermore, step 4 specifically includes:

[0042] The controller of the pressure control system PIC periodically initiates an automatic calibration procedure:

[0043] Control the kitchen waste shredder to run under no-load conditions, close the first pneumatic discharge valve of the ship's kitchen waste treatment system, and put the first pipeline of the ship's kitchen waste treatment system into a static vacuum state.

[0044] Collect the pressure data monitored by the original main pressure sensor and the pressure data monitored by the backup pressure sensor at this time, compare them with the rated vacuum degree of the vacuum storage tank, and calculate the deviation.

[0045] If the deviation exceeds the allowable range, the calibration parameters of the original main pressure sensor and the backup pressure sensor will be automatically corrected; if the deviation still exceeds the limit after correction, a "manual calibration alarm" message will be output.

[0046] After calibration, the shredder of the ship's kitchen wet waste treatment system was started to deliver a small amount of waste for verification. and Does it match the corrected pressure value?

[0047] The beneficial effects of the present invention are as follows, compared with the prior art:

[0048] Solving the single point of failure problem: Through redundant monitoring of backup pressure sensors and cross-verification of flow / level rate, even if a single sensor fails, the system can still judge the vacuum status based on multiple parameters, avoiding vacuum failure or excessive venting.

[0049] Eliminating the impact of calibration deviation: The self-calibration mechanism based on historical benchmark curves and multi-parameter verification can automatically correct sensor calibration deviations and avoid erroneous control caused by inaccurate readings;

[0050] Improve collection efficiency and energy saving: Staged exhaust (low power → full power) reduces unnecessary energy consumption, while scene differentiation (insufficient vacuum / pipe blockage) avoids ineffective operations and ensures continuous transportation of wet waste;

[0051] Reduced operation and maintenance costs: The self-calibration mechanism reduces the frequency of manual calibration, and the fault alarm accurately locates the problem (such as "main pressure sensor failure" or "pipeline blockage"), reducing the difficulty of maintenance for crew members. Attached Figure Description

[0052] Figure 1 This is a flowchart of the intelligent monitoring and control method for vacuum waste treatment in this invention. Detailed Implementation

[0053] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of this invention. The embodiments described in this application are merely some embodiments of this invention, and not all embodiments. Based on the spirit of this invention, other embodiments obtained by those skilled in the art without creative effort are all within the protection scope of this invention.

[0054] like Figure 1 As shown, an intelligent monitoring and control method for vacuum waste treatment includes:

[0055] Step 1: Construct new components for the ship's kitchen wet waste treatment system with patent publication number "CN120502568A";

[0056] In a preferred but non-limiting embodiment of the present invention, in step 1, the added component includes:

[0057] A backup pressure sensor is connected to the controller of the pressure control system PIC of the ship's kitchen wet waste treatment system. The controller of the pressure control system PIC (which may be a PLC) is also connected to the second discharge pump and the second pneumatic discharge valve of the ship's kitchen wet waste treatment system.

[0058] In a preferred but non-limiting embodiment of the present invention, in step 1, the backup pressure sensor is installed on the first pipe of the ship's kitchen wet waste treatment system and is ≥1m away from the original main pressure sensor (i.e., the original pressure sensor of the pressure control system PIC) to avoid failure at the same point. The backup pressure sensor is used to redundantly monitor the pressure of the first pipe and transmit it to the controller of the pressure control system PIC for cross-verification with the pressure monitored by the original main pressure sensor.

[0059] The waste conveying flow sensor is installed at one end of the first pipeline near the inlet of the vacuum storage tank of the ship's kitchen wet waste treatment system. The waste conveying flow sensor is used to monitor the actual conveying flow of the pulverized wet waste and transmit it to the controller of the pressure control system PIC to reflect the effectiveness of the vacuum suction.

[0060] The liquid level change rate analysis module includes a liquid level sensor installed on the inner wall of the vacuum storage tank of the ship's kitchen wet waste treatment system. The liquid level sensor is connected to the MCU, and the MCU is connected to the controller of the pressure control system PIC. The liquid level sensor is used to transmit the monitored liquid level in the vacuum storage tank to the MCU. The MCU calculates the liquid level in the vacuum storage tank to obtain the rate of change of the liquid level in the vacuum storage tank per unit time, which indirectly verifies the vacuum suction. The MCU also transmits the rate of change of the liquid level in the vacuum storage tank per unit time to the controller of the pressure control system PIC.

[0061] In a preferred but non-limiting embodiment of the present invention, in step 1, the rate of change of liquid level per unit time in the vacuum storage tank is... The calculation formula is as follows:

[0062] ;

[0063] in , , The current liquid level being monitored. This refers to the liquid level monitored at the previous time step. For the current moment, The previous moment before the current moment.

[0064] Step 2: Perform multi-dimensional data fusion and intelligent decision-making on the ship kitchen wet waste treatment system with patent publication number "CN120502568A";

[0065] In a preferred but non-limiting embodiment of the present invention, in step 2, the controller of the pressure control system PIC collects in real time the main pressure, backup pressure, and conveying flow rate transmitted from the original main pressure sensor, backup pressure sensor, waste conveying flow sensor, and MCU, respectively. With liquid level change rate The four types of data are comprehensively judged through preset logic (hierarchical control logic) to achieve accurate monitoring and hierarchical control.

[0066] In a preferred but non-limiting embodiment of the present invention, step 2 specifically includes:

[0067] Step 2-1: Set the baseline parameters;

[0068] In a preferred but non-limiting embodiment of the present invention, in step 2-1, the reference parameters include:

[0069] First-level vacuum threshold : The minimum vacuum level required for the pipeline to operate normally;

[0070] Second-level vacuum threshold : To urgently restore vacuum level in the pipeline, It is triggered only when the vacuum level is severely insufficient.

[0071] Normal flow range : This refers to the stable conveying flow rate of the pulverized wet waste when the vacuum level is normal.

[0072] Normal liquid level change rate : The stable rate of rise and fall of the liquid level in the vacuum storage tank when the vacuum level is normal.

[0073] Step 2-2: Execute the hierarchical control logic as preset logic.

[0074] In a preferred but non-limiting embodiment of the present invention, in step 2-2, the hierarchical control logic includes:

[0075] When the pressure monitored by the original main pressure sensor First, verify whether and :

[0076] If both conditions are met, it is confirmed that the vacuum level is insufficient. The controller of the pressure control system PIC will first activate the low-power mode of the second discharge pump, while simultaneously monitoring the pressure change detected by the original main pressure sensor; if within 30 seconds... rebounded to The second discharge pump will remain in low-power mode as described above; if continued and approaching Switch to full power mode until Then stop;

[0077] like or If the readings are not met, it may be due to a calibration deviation in the original main pressure sensor. Next, the pressure data monitored by the backup pressure sensor is retrieved. If the pressure data monitored by the backup pressure sensor... show If the original main pressure sensor calibration is determined to be incorrect, the controller of the pressure control system PIC will not start the second exhaust pump to vent, but will only output a "original main pressure sensor calibration prompt" message; if the pressure data monitored by the backup pressure sensor... Also shows Further check whether the pipe is blocked, that is, if but If the system detects a blockage in the pipe, it outputs a "pipe blockage alarm" message, and the controller of the pressure control system PIC does not start the second exhaust pump to release air.

[0078] Step 3: Implement fault-tolerant processing for sensor malfunctions and calibration deviations in the ship's kitchen wet waste treatment system, as per patent publication number "CN120502568A", to prevent vacuum failure;

[0079] In a preferred but non-limiting embodiment of the present invention, step 3 specifically includes:

[0080] Step 3-1: Fault tolerance handling for single-point sensor failures:

[0081] If the primary pressure sensor fails (e.g., no signal, data fluctuation): the PIC controller of the pressure control system automatically switches to the pressure data monitored by the backup pressure sensor as the primary monitoring parameter, combined with... and Judgment: If the pressure data is monitored using a pressure sensor as well as and The controller of the pressure control system PIC does not start the second exhaust pump to vent; if the backup pressure sensor is normal, the ship's kitchen wet waste treatment system is maintained and the message "original main pressure sensor fault alarm" is output.

[0082] If both the backup pressure sensor and the original main pressure sensor fail: relying solely on and Make a judgment: if and If the vacuum level in the pipeline is determined to be insufficient, the controller of the pressure control system PIC will start the second exhaust pump at full power to vent, and at the same time output a "dual pressure sensor fault alarm" message; if and Maintain the operation of the ship's kitchen wet waste treatment system and trigger an alarm.

[0083] Step 3-2: Correct the calibration deviation.

[0084] In a preferred but non-limiting embodiment of the present invention, step 3-2 specifically includes:

[0085] When the absolute value of the difference between the pressure data monitored by the primary pressure sensor and the pressure data monitored by the backup pressure sensor exceeds a preset deviation threshold (e.g., ±5 kPa), the controller of the pressure control system PIC is activated. and Historical normal data (such as the "pressure-flow-level rate" curves from the last three stable operating times), in order to and The normal pressure value is used as a reference. The readings of sensors with large deviations are corrected (such as lowering the calibration value if the pressure data monitored by the original main pressure sensor is too high), and a "sensor calibration complete" message is output.

[0086] Step 4: Implement a self-calibration mechanism for the ship's kitchen wet waste treatment system with patent publication number "CN120502568A" to ensure long-term monitoring accuracy.

[0087] In a preferred but non-limiting embodiment of the present invention, step 4 specifically includes:

[0088] The controller of the pressure control system PIC periodically (e.g., during the low-load period of the system in the early morning each day) initiates an automatic calibration procedure:

[0089] Control the kitchen waste shredder to run unloaded (without waste transport), close the first pneumatic discharge valve of the ship's kitchen waste treatment system, and put the first pipeline of the ship's kitchen waste treatment system into a static vacuum state;

[0090] Collect the pressure data monitored by the original main pressure sensor and the pressure data monitored by the backup pressure sensor at this time, compare them with the rated vacuum degree (factory setting value) of the vacuum storage tank, and calculate the deviation;

[0091] If the deviation exceeds the allowable range (e.g., ±3kPa), the calibration parameters of the original main pressure sensor and the backup pressure sensor will be automatically corrected; if the deviation still exceeds the limit after correction, a "manual calibration alarm" message will be output.

[0092] After calibration, the shredder of the ship's kitchen wet waste treatment system was started to deliver a small amount of waste for verification. and Check whether it matches the corrected pressure value to ensure the calibration is effective.

[0093] All new components in this invention are integrated into the existing ship kitchen wet waste treatment system through modular design:

[0094] The sensors (backup pressure sensor and flow sensor) are connected to the first pipeline via flanges or clamps, without requiring modification to the pipeline body;

[0095] The liquid level change rate analysis module is integrated into the original liquid level switch control circuit through software upgrade;

[0096] The intelligent control unit interfaces with the original vacuum collection device control box via a communication interface (such as RS485) without affecting the original manual operation function (the option to manually control the exhaust pump in emergencies is retained).

[0097] The present invention has the following improvements:

[0098] Multi-dimensional parameter fusion approach: Breaking through the limitations of the existing "single pressure monitoring", it combines "pressure redundancy + delivery flow rate + liquid level change rate" for the first time. It achieves scenario-based judgment through the correlation between physical parameters (vacuum degree → suction force → flow rate / liquid level change), solving the industry pain point of "difficulty in distinguishing between sensor deviation and actual vacuum deficiency".

[0099] Intelligent hierarchical control and fault-tolerant design: Instead of simply stacking sensors, it balances "vacuum stability" and "energy saving" through a hierarchical strategy of "low-power exhaust → full-power exhaust" and fault-tolerant logic of "parameter switching in case of failure", avoiding the defects of the existing solution of "one-size-fits-all" exhaust.

[0100] Practicality of the self-calibration mechanism: Combining the operating conditions of ship wet waste treatment (available during low-load periods), a self-calibration based on historical benchmark curves is designed. No additional calibration equipment is required, which is suitable for the limited operation and maintenance conditions of ships and has significant practical application value.

[0101] The beneficial effects of the present invention are as follows, compared with the prior art:

[0102] Solving the single point of failure problem: Through redundant monitoring of backup pressure sensors and cross-verification of flow / level rate, even if a single sensor fails, the system can still judge the vacuum status based on multiple parameters, avoiding vacuum failure or excessive venting.

[0103] Eliminating the impact of calibration deviation: The self-calibration mechanism based on historical benchmark curves and multi-parameter verification can automatically correct sensor calibration deviations and avoid erroneous control caused by inaccurate readings;

[0104] Improve collection efficiency and energy saving: Staged exhaust (low power → full power) reduces unnecessary energy consumption, while scene differentiation (insufficient vacuum / pipe blockage) avoids ineffective operations and ensures continuous transportation of wet waste;

[0105] Reduced operation and maintenance costs: The self-calibration mechanism reduces the frequency of manual calibration, and the fault alarm accurately locates the problem (such as "main pressure sensor failure" or "pipeline blockage"), reducing the difficulty of maintenance for crew members.

[0106] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention without departing from the spirit and scope of the present invention. Any modifications or equivalent substitutions should be covered within the scope of protection of the claims of the present invention.

Claims

1. An intelligent monitoring and control method for vacuum waste treatment, characterized in that, include: Step 1: Build new components for the ship's kitchen wet waste treatment system; Step 2: Perform multi-dimensional data fusion and intelligent decision-making on the ship's kitchen wet waste treatment system; Step 3: Implement fault-tolerant measures for sensor malfunctions and calibration deviations in the ship's kitchen wet waste treatment system; Step 4: Implement a self-calibration mechanism for the ship's kitchen wet waste treatment system to ensure long-term monitoring accuracy; Step 2 specifically includes: Step 2-1: Set the baseline parameters; Step 2-2: Execute the hierarchical control logic as preset logic; In step 2-1, the reference parameters include: First-level vacuum threshold : The minimum vacuum level required for the pipeline to operate normally; Second-level vacuum threshold : To urgently restore vacuum level in the pipeline, ; Normal flow range : This refers to the stable conveying flow rate of the pulverized wet waste when the vacuum level is normal. Normal liquid level change rate : The stable rate of rise and fall of the liquid level in the vacuum storage tank when the vacuum level is normal; In step 2-2, the hierarchical control logic includes: When the pressure monitored by the original main pressure sensor First, verify whether and : If both conditions are met, it is confirmed that the vacuum level is insufficient. The controller of the pressure control system PIC will first activate the low-power mode of the second discharge pump, while simultaneously monitoring the pressure change detected by the original main pressure sensor; if within 30 seconds... rebounded to The second discharge pump will remain in low-power mode as described above; if continued and approaching Switch to full power mode until Then stop; like or If the condition is not met, then the pressure data monitored by the backup pressure sensor is retrieved. If the pressure data monitored by the backup pressure sensor... show If the original main pressure sensor calibration is determined to be incorrect, the controller of the pressure control system PIC will not start the second exhaust pump to vent, but will only output a "original main pressure sensor calibration prompt" message; if the pressure data monitored by the backup pressure sensor... Also shows Further check whether the pipe is blocked, that is, if but If the pipe is blocked, a "pipe blockage alarm" message is output, and the controller of the pressure control system PIC does not start the second exhaust pump to vent.

2. The intelligent monitoring and control method for vacuum waste treatment according to claim 1, characterized in that, In step 1, the newly added components include: A backup pressure sensor is connected to the controller of the pressure control system PIC of the ship's kitchen wet waste treatment system. The controller of the pressure control system PIC is also connected to the second discharge pump and the second pneumatic discharge valve of the ship's kitchen wet waste treatment system. In step 1, the backup pressure sensor is installed on the first pipe of the ship's kitchen wet waste treatment system and is ≥1m away from the original main pressure sensor. The backup pressure sensor is used to redundantly monitor the pressure of the first pipe and transmit the data to the controller of the pressure control system PIC. The waste conveying flow sensor is installed at one end of the first pipeline near the inlet of the vacuum storage tank of the ship's kitchen wet waste treatment system. The waste conveying flow sensor is used to monitor the actual conveying flow of the pulverized wet waste and transmit the data to the controller of the pressure control system PIC. The liquid level change rate analysis module includes a liquid level sensor installed on the inner wall of the vacuum storage tank of the ship's kitchen wet waste treatment system. The liquid level sensor is connected to an MCU, and the MCU is connected to the controller of the pressure control system PIC. The liquid level sensor is used to transmit the monitored liquid level in the vacuum storage tank to the MCU. The MCU calculates the liquid level in the vacuum storage tank to obtain the rate of change of the liquid level in the vacuum storage tank per unit time. The MCU also transmits the rate of change of the liquid level in the vacuum storage tank per unit time to the controller of the pressure control system PIC.

3. The intelligent monitoring and control method for vacuum waste treatment according to claim 2, characterized in that, In step 1, the rate of change of liquid level per unit time in the vacuum storage tank The calculation formula is as follows: ； in , , The current liquid level being monitored. This refers to the liquid level monitored at the previous time step. For the current moment, The previous moment before the current moment.

4. The intelligent monitoring and control method for vacuum waste treatment according to claim 3, characterized in that, In step 2, the controller of the pressure control system PIC collects in real time the main pressure, backup pressure, and conveying flow rate transmitted from the original main pressure sensor, backup pressure sensor, waste conveying flow sensor, and MCU. With liquid level change rate Four types of data are comprehensively judged through preset logic to achieve accurate monitoring and hierarchical control.

5. The intelligent monitoring and control method for vacuum waste treatment according to claim 4, characterized in that, Step 3 specifically includes: Step 3-1: Fault tolerance handling for single-point sensor failures: If the primary pressure sensor fails: the PIC controller of the pressure control system automatically switches to the pressure data monitored by the backup pressure sensor as the primary monitoring parameter, combined with... and Judgment: If the pressure data is monitored using a pressure sensor as well as and The controller of the pressure control system PIC does not start the second exhaust pump to vent; if the backup pressure sensor is normal, the ship's kitchen wet waste treatment system is maintained and the message "original main pressure sensor fault alarm" is output. If both the backup pressure sensor and the original main pressure sensor fail: relying solely on and Make a judgment: if and If the vacuum level in the pipeline is determined to be insufficient, the controller of the pressure control system PIC will start the second exhaust pump at full power to vent, and at the same time output a "dual pressure sensor fault alarm" message; if and Maintain the operation of the ship's kitchen wet waste treatment system and trigger an alarm; Step 3-2: Correct the calibration deviation.

6. The intelligent monitoring and control method for vacuum waste treatment according to claim 5, characterized in that, Step 3-2 specifically includes: When the absolute value of the difference between the pressure data monitored by the primary pressure sensor and the pressure data monitored by the backup pressure sensor exceeds a preset deviation threshold, the controller of the pressure control system PIC calls... and Historical normal data, and The normal pressure value is used as a reference to correct sensor readings with large deviations and output a "sensor calibration complete" message.

7. The intelligent monitoring and control method for vacuum waste treatment according to claim 6, characterized in that, Step 4 specifically includes: The controller of the pressure control system PIC periodically initiates an automatic calibration procedure: Control the kitchen waste shredder to run under no-load conditions, close the first pneumatic discharge valve of the ship's kitchen waste treatment system, and put the first pipeline of the ship's kitchen waste treatment system into a static vacuum state. Collect the pressure data monitored by the original main pressure sensor and the pressure data monitored by the backup pressure sensor at this time, compare them with the rated vacuum degree of the vacuum storage tank, and calculate the deviation. If the deviation exceeds the allowable range, the calibration parameters of the original main pressure sensor and the backup pressure sensor will be automatically corrected; if the deviation still exceeds the allowable range after correction, a "manual calibration alarm" message will be output. After calibration, the shredder of the ship's kitchen wet waste treatment system was started to deliver a small amount of waste for verification. and Does it match the corrected pressure value?

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