Energy-saving operation control methods and systems for logistics loading and unloading equipment

Abstract

This invention discloses an energy-saving operation control method and system for logistics loading and unloading equipment, belonging to the field of logistics loading and unloading technology. The specific steps of the energy-saving operation control method are as follows: S1: Real-time data acquisition: Through various sensors deployed on each logistics loading and unloading equipment, the operating status parameters and load characteristic parameters of the logistics loading and unloading equipment are collected in real time; S2: Operating condition identification and energy status assessment: Based on the collected operating status parameters and load characteristic parameters, the current lifting or lowering condition of the logistics loading and unloading equipment is identified, and the energy storage potential and recovery potential under the current operating condition are assessed; The entire process of this invention is completed in the pure hydraulic domain, without the need to convert to electrical or mechanical energy, thereby completely avoiding the multi-level conversion link of "mechanical energy-electrical energy-grid-electrical energy-mechanical energy" in the traditional solution, and significantly improving the efficiency of energy recovery and reuse.

Description

Technical Field

[0001] This invention relates to the field of logistics loading and unloading technology, and in particular to energy-saving operation control methods and systems for logistics loading and unloading equipment. Background Technology

[0002] Various loading and unloading equipment, such as rubber-tired container gantry cranes, forklifts, reach stackers, and other similar equipment, are widely used in ports, docks, railway freight yards, and large warehousing centers. These machines frequently lift and lower heavy loads during operation, consuming significant amounts of energy. Taking cranes as an example, the gravitational potential energy released when the spreader lowers is enormous. Traditionally, this potential energy is dissipated through resistors or converted into heat energy through braking resistors, or it is fed back to the grid using a power feedback device. However, power feedback involves a multi-stage conversion path of "mechanical energy - electrical energy - grid - electrical energy - mechanical energy," with efficiency losses at each stage. Furthermore, the fed-back energy has a certain impact on grid quality, requiring additional grid-connected filtering equipment, increasing system cost and complexity.

[0003] On the other hand, when lifting heavy objects, especially during the acceleration phase, the equipment consumes a large amount of electrical energy to drive the hydraulic pump or motor. This energy, used to increase the kinetic energy of the load, is not effectively utilized when reaching the constant speed or braking phase. In the existing technology, some solutions propose to equip a single device with energy storage components such as flywheels or supercapacitors, but their energy storage and release still involve electrical energy conversion, and the energy storage components are costly, have limited lifespan, and are complex to maintain.

[0004] Therefore, developing an energy-saving operation control method and system that can achieve direct coupling and matching of kinetic and potential energy between loading and unloading equipment, avoid multi-level energy conversion losses, and support spatiotemporal rescheduling is a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0005] The purpose of this invention is to address the deficiencies in the existing technology by proposing an energy-saving operation control method and system for logistics loading and unloading equipment.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: An energy-saving operation control method for logistics loading and unloading equipment, the specific steps of which are as follows: S1: Real-time data acquisition: Real-time acquisition of operating status parameters and load characteristic parameters of logistics loading and unloading equipment through various sensors deployed on each logistics loading and unloading equipment; S2: Operating Condition Identification and Energy Situation Assessment: Based on the collected operating status parameters and load characteristic parameters, identify whether the logistics loading and unloading equipment is currently in a lifting or lowering operating condition, and assess the energy storage potential and recovery potential under the current operating condition. S3: Energy supply and demand forecasting and spatiotemporal matching: Based on the results of energy status assessment, combined with historical operating data and preset scheduling strategies, predict the lifting energy demand and descent energy supply of each device within a future time window, and establish spatiotemporal matching pairs for energy supply and demand across devices and cycles. S4: Direct transfer control of hydraulic potential well energy: Based on the established cross-equipment and cross-cycle energy supply and demand time and space matching pair, control commands are generated to control the hydraulic valve group and accumulator in the hydraulic potential well device, and the hydraulic potential energy released by one or more logistics loading and unloading equipment in the lowering condition is directly transferred to one or more logistics loading and unloading equipment in the lifting condition through the hydraulic pipeline to provide auxiliary power for its lifting action. S5: Dynamic optimization and mode switching of control strategy: During the energy transfer process, the accumulator pressure and hydraulic pipeline flow status of the hydraulic potential trap device are monitored in real time, the flow distribution ratio and transfer sequence of direct energy transfer are dynamically adjusted, and adaptive switching is performed between direct energy transfer mode, energy-assisted recovery mode and conventional independent operation mode according to the overall energy efficiency status of the system. S6: Energy-saving effect assessment and feedback output: Based on the comparison of energy consumption data before and after direct energy transfer, calculate the real-time energy saving rate and cumulative energy saving, generate an energy-saving operation assessment report, and display it through a visual operation interface.

[0007] As a further aspect of the present invention, the energy storage potential and recovery potential are specifically as follows: based on the load mass, lifting speed and acceleration curves under the lifting condition, the increase in potential energy required to overcome gravity during the lifting process and the increase in kinetic energy during the acceleration phase are calculated, and the increase in kinetic energy is taken as the potential for storing lifting kinetic energy; based on the load mass, descent speed curves and braking deceleration under the descent condition, the gravitational potential energy that can be released during the descent process and the kinetic energy that can be recovered during the braking phase are calculated, and the sum of the releaseable gravitational potential energy and the recoverable kinetic energy is taken as the potential for recoverable descent potential energy.

[0008] As a further aspect of the present invention, the establishment of a cross-device, cross-cycle energy supply and demand spatiotemporal matching pair specifically involves: mapping the predicted lift energy demand and descent energy supply to a time-device coordinate system, and using an optimization algorithm based on bipartite graph maximum weight matching to match one or more descent energy supplies for each lift energy demand, while satisfying energy conservation and equipment physical constraints, and determining the start time, duration, and flow allocation weight of direct energy transfer, so as to achieve optimal direct energy transfer in time and space. The energy-saving operation control system for logistics loading and unloading equipment includes a data acquisition module, a working condition identification module, a potential prediction module, a potential well status monitoring module, an energy matching module, an instruction generation module, a hydraulic execution module, and a feedback optimization module. The data acquisition module is used to collect the operating status parameters and load characteristic parameters of each logistics loading and unloading equipment in real time. The operating condition identification module is used to automatically identify whether the logistics loading and unloading equipment is currently in lifting or lowering condition based on the collected operating status parameters and load characteristic parameters. The potential prediction module is used to calculate the potential for storing lifting kinetic energy when a lifting condition is identified, and to calculate the potential for recoverable descent potential energy when a descent condition is identified. The potential well status monitoring module is used to monitor the accumulator pressure and hydraulic pipeline flow in the hydraulic potential well device in real time. The energy matching module is used to receive potential data and potential well status data of each logistics loading and unloading equipment, and combine them with preset scheduling strategies to generate energy supply and demand spatiotemporal matching pairs across equipment and cycles. The instruction generation module is used to generate control instructions for the hydraulic valve group and accumulator in the hydraulic potential trap device based on the spatiotemporal matching of energy supply and demand across devices and cycles. The hydraulic actuator module is used to receive and execute the control commands to realize the direct transfer of hydraulic energy between the lowering device and the lifting device; The feedback optimization module is used to compare the actual effect of energy transfer with the expected effect in real time, calculate the deviation, and adjust the scheduling strategy in the energy matching module online based on the deviation. The human-computer interaction module provides a visual operating interface and displays energy-saving operation assessment reports.

[0009] As a further embodiment of the present invention, the hydraulic potential trap device is an integrated hydraulic energy exchanger, which contains multiple mutually isolated chambers that can exchange pressure energy through pistons or rotors, for realizing the direct transmission of hydraulic energy between the first hydraulic circuit and the second hydraulic circuit without the need to convert hydraulic energy into electrical energy or mechanical energy.

[0010] The first hydraulic circuit is connected to the lowering device, and the second hydraulic return circuit is connected to the lifting device.

[0011] As a further aspect of the present invention, the energy matching module includes a scheduling strategy optimization unit based on reinforcement learning. This unit uses historical energy supply and demand data, actual transfer efficiency, and energy saving rate as training samples, and aims to maximize the long-term cumulative energy saving rate to dynamically adjust the priority weight and matching threshold of cross-device energy matching.

[0012] As a further embodiment of the present invention, the energy-saving operation control system also includes a safety interlock module, which is used to immediately cut off the direct energy transfer path and switch the relevant equipment to the normal independent operation mode when equipment failure, hydraulic pipeline pressure exceeding the limit or accumulator status is detected.

[0013] As a further aspect of the present invention, the human-computer interaction module supports real-time display of the energy flow path, flow rate, and transfer efficiency between multiple logistics loading and unloading equipment and hydraulic potential trap devices in a three-dimensional dynamic graphical manner.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. This energy-saving operation control method for logistics loading and unloading equipment uses multiple sensors deployed on each piece of equipment to collect real-time operating status parameters and load characteristic parameters, and automatically identifies whether each piece of equipment is currently in lifting or lowering mode. For lowering mode, the sum of the releaseable gravitational potential energy and the braking recovery kinetic energy is calculated as the lowering potential energy potential; for lifting mode, the lifting kinetic energy potential that can be replaced by external power during the acceleration phase is calculated. Based on the energy supply and demand matching pair across equipment and across cycles, a hydraulic potential trap device is driven to directly guide the hydraulic oil released by one or more lowering devices to the hydraulic inlet of one or more lifting devices, providing them with auxiliary power. The entire process is completed in the pure hydraulic domain, without the need to convert to electrical or mechanical energy, thus completely avoiding the multi-stage conversion link of "mechanical energy-electrical energy-grid-electrical energy-mechanical energy" in traditional solutions, significantly improving energy recovery and reuse efficiency.

[0015] 2. This energy-saving operation control system for logistics loading and unloading equipment, after assessing the energy potential of each piece of equipment, goes beyond local matching for individual devices. Instead, it maps all lifting energy demands and lowering energy supplies within a future time window onto a two-dimensional time-equipment coordinate system. The energy matching module employs a bipartite graph maximum weight matching algorithm. Under the premise of satisfying energy conservation and equipment physical constraints, it matches one or more lowering energy supplies to each lifting energy demand and accurately determines the transfer start time, duration, and flow allocation weight. Through this mechanism, even if the lifting and lowering do not coincide in their original time sequence, temporary buffering with accumulators can be used to achieve "peak shaving and valley filling" rescheduling. Equipment in different locations can achieve long-distance energy transfer as long as they are connected to the same hydraulic pipeline network, greatly improving the flexibility of energy matching. Attached Figure Description

[0016] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof.

[0017] Figure 1 This is a flowchart of the energy-saving operation control method for logistics loading and unloading equipment proposed in this invention; Figure 2 This is a system block diagram of the energy-saving operation control system for logistics loading and unloading equipment proposed in this invention. Detailed Implementation

[0018] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0019] Example 1 Reference Figure 1 This embodiment discloses an energy-saving operation control method for logistics loading and unloading equipment. The specific steps of the energy-saving operation control method are as follows: Real-time data acquisition: Through various sensors deployed on various logistics loading and unloading equipment, the operating status parameters and load characteristic parameters of the logistics loading and unloading equipment are collected in real time; In this embodiment, operating status parameters include lifting or lowering speed, acceleration, hydraulic system pressure, and cylinder displacement; load characteristic parameters include load mass and load center of gravity position. Data from various sensors is periodically uploaded to the central controller via a wireless network, providing the raw data foundation for subsequent operating condition identification and energy assessment.

[0020] Operating condition identification and energy status assessment: After receiving the collected operating status parameters and load characteristic parameters, the central controller first automatically identifies whether each piece of equipment is currently in a lifting or lowering condition based on the direction of hydraulic system pressure change and the trend of cylinder displacement increase or decrease. For example, when the hydraulic pressure continues to rise and the cylinder extends, it is determined to be in a lifting condition; when the pressure decreases and the cylinder retracts, it is determined to be in a lowering condition.

[0021] Based on this, for the identified lifting conditions, the increase in potential energy required to overcome gravity during the lifting process and the increase in kinetic energy during the acceleration phase are calculated according to the load mass, lifting speed, and acceleration curves. The increase in kinetic energy is taken as the potential kinetic energy that can be stored during lifting, representing the upper limit of energy that can be replaced by external auxiliary power during the lifting acceleration phase. For the identified descent conditions, the gravitational potential energy that can be released during the descent process and the kinetic energy that can be recovered during the braking phase are calculated according to the load mass, descent speed curve, and braking deceleration. The sum of these two is taken as the potential recoverable descent potential energy, representing the upper limit of energy that can be transferred to other equipment during the descent braking phase.

[0022] Energy supply and demand forecasting and spatiotemporal matching: Based on the energy storage potential and recovery potential of each logistics loading and unloading equipment obtained from the assessment, combined with historical operating data stored in the database and preset scheduling strategies, the lifting energy demand and descent energy supply of each equipment in the next time window are predicted.

[0023] Subsequently, the predicted lift energy demand and descent energy supply are mapped onto a time-device two-dimensional coordinate system. An optimization algorithm based on bipartite graph maximum weight matching is employed to match one or more descent energy supplies for each lift energy demand, while satisfying energy conservation and equipment physical constraints. The start time, duration, and flow allocation weight of the direct energy transfer are determined, thus forming a spatiotemporal matching pair of energy supply and demand across devices and cycles. This matching pair achieves optimal direct energy transfer planning in both time and space.

[0024] Direct energy transfer control from hydraulic potential wells: Based on the generated inter-device, inter-cycle energy supply and demand spatiotemporal matching pairs, the central controller generates specific control commands and sends them to the hydraulic valve group and accumulator in the hydraulic potential well device via fieldbus. The hydraulic potential well device is an integrated hydraulic energy exchanger, containing multiple isolated chambers that can exchange pressure energy through pistons. The control commands drive the hydraulic valve group to actuate, directly guiding the high-pressure hydraulic oil released from one or more devices in a lowering state to one or more devices in a lifting state via hydraulic pipelines, providing auxiliary power for their lifting action. The entire transfer process does not involve the transfer of electrical or mechanical energy, realizing "direct coupling between devices" of hydraulic potential energy.

[0025] Dynamic optimization and mode switching of control strategy: During the direct energy transfer process, the pressure value of the accumulator in the hydraulic potential trap device and the flow value of the hydraulic pipeline are monitored in real time. The flow distribution ratio and transfer sequence of energy transfer are dynamically adjusted to avoid overpressure, underflow, or unstable operating conditions. Simultaneously, based on the overall energy efficiency status of the system, such as whether the current energy saving rate is higher than the preset threshold and whether the remaining capacity of the accumulator is sufficient, adaptive switching is performed between the following three modes:

[0026] Direct energy transfer mode: There is a matching supply of descent energy and demand for lift energy, and the geographical locations and time windows of the supply and demand sides overlap, so energy transfer between equipment can be carried out directly;

[0027] Energy-assisted recovery mode: If there is no matching lifting demand but there is a need for descent energy, the excess hydraulic energy will be temporarily stored in the accumulator and released when a lifting demand occurs later.

[0028] Normal independent operation mode: When the overall system energy efficiency is lower than the threshold, equipment fails, hydraulic pipeline pressure exceeds the limit, or accumulator status is abnormal, the direct energy transfer path is cut off, and each piece of equipment operates independently, relying on its own power to complete the operation.

[0029] Energy-saving effect assessment and feedback output: Based on the comparison of energy consumption data before and after direct energy transfer, the real-time energy saving rate and cumulative energy saving are calculated, and the energy-saving operation assessment report is displayed through a visual operation interface. At the same time, the assessment results are fed back to the energy supply and demand forecasting and spatiotemporal matching steps to correct the parameters in the energy supply and demand forecasting model and the matching priority weights in the scheduling strategy, forming a closed-loop optimization.

[0030] The energy-saving operation assessment report includes information such as energy-saving indicators, number of times equipment is involved, and total energy transfer.

[0031] Example 2 Reference Figure 2 This embodiment discloses an energy-saving operation control system for logistics loading and unloading equipment. This system includes a data acquisition module, a working condition identification module, a potential prediction module, a potential well status monitoring module, an energy matching module, an instruction generation module, a hydraulic execution module, a feedback optimization module, a safety interlock module, and a human-machine interaction module. The specific functions and collaborative relationships of each module are as follows: Data acquisition module: Deployed on various logistics loading and unloading equipment, including pressure sensors, displacement sensors, and weighing sensors. This module collects the operating status parameters and load characteristic parameters of each logistics loading and unloading equipment in real time, and transmits the data to the central controller via a wireless network.

[0032] Operating Condition Identification Module: Receives real-time parameters from the data acquisition module and automatically determines whether each piece of equipment is currently in a lifting or lowering condition based on the direction of hydraulic system pressure changes and the trend of cylinder displacement increases or decreases. The determination result is output to the potential prediction module in real time.

[0033] Potential Prediction Module: Based on the results of the working condition identification module, when a lifting working condition is identified, the module calculates the potential lifting kinetic energy that can be stored during the lifting process, based on the load mass, lifting speed, and acceleration curves. When a descent working condition is identified, the module calculates the potential descent potential that can be recovered during the descent process, based on the load mass, descent speed curve, and braking deceleration. The calculated potential values ​​are sent to the energy matching module in the form of digital signals.

[0034] Potential well status monitoring module: Real-time monitoring of accumulator pressure and flow rate in hydraulic pipelines in hydraulic potential well device, and synchronization of monitoring data to energy matching module to determine whether energy transfer conditions are met.

[0035] The energy matching module receives potential data from each device from the potential prediction module and the status of accumulators and hydraulic pipelines from the potential well status monitoring module. Internally, this module includes a reinforcement learning-based scheduling strategy optimization unit. This unit uses historical energy supply and demand data, actual transfer efficiency, and energy saving rate as training samples, and aims to maximize the long-term cumulative energy saving rate by dynamically adjusting the priority weights and matching thresholds for cross-device energy matching. Based on the above information, the energy matching module employs a bipartite graph maximum weight matching-based optimization algorithm to generate cross-device, cross-cycle energy supply and demand spatiotemporal matching pairs, which are then output to the instruction generation module.

[0036] Command generation module: Based on the cross-device, cross-cycle energy supply and demand time-space matching pairs output by the energy matching module, it parses out the hydraulic valve group number that needs to be activated and the accumulator charging and discharging command, generates control commands that conform to the fieldbus, and sends them to the hydraulic execution module.

[0037] Hydraulic Actuation Module: This module includes a hydraulic potential sink device and a pipeline network connecting the hydraulic circuits of various logistics loading and unloading equipment. It receives and executes control commands from the command generation module, switching the state of the hydraulic valve group in real time. This allows high-pressure hydraulic oil from one or more pieces of equipment in a lowering state to flow directly into the hydraulic inlet of one or more pieces of equipment in a lifting state, achieving direct transfer of hydraulic energy between the equipment.

[0038] Feedback optimization module: After each direct energy transfer is completed, the actual transferred energy value is compared with the expected transferred energy value in real time, and the deviation percentage is calculated. Based on this deviation, the scheduling strategy parameters in the energy matching module are adjusted online.

[0039] Safety interlock module: Operates independently of other modules, continuously monitoring equipment fault signals, whether hydraulic pipeline pressure exceeds safety thresholds, and whether accumulator pressure exceeds upper or lower limits. Once any abnormality is detected, it immediately outputs a safety interruption signal, cutting off the direct energy transfer path in the hydraulic actuator module, and forces the relevant equipment to switch to normal independent operation mode through the command generation module, while simultaneously sending alarm information to the human-machine interface module.

[0040] Human-Machine Interaction Module: Provides a touchscreen-based visual operating interface. This interface supports real-time display of energy flow paths, flow rates, and transfer efficiency between multiple logistics loading and unloading equipment and hydraulic potential trap devices using 3D dynamic graphics. The interface also includes a window for viewing energy-saving operation assessment reports.

Claims

1. An energy-saving operation control method for logistics loading and unloading equipment, characterized in that, The specific steps of this energy-saving operation control method are as follows: S1: Real-time data acquisition: Real-time acquisition of operating status parameters and load characteristic parameters of logistics loading and unloading equipment through various sensors deployed on each logistics loading and unloading equipment; S2: Operating Condition Identification and Energy Situation Assessment: Based on the collected operating status parameters and load characteristic parameters, identify whether the logistics loading and unloading equipment is currently in a lifting or lowering operating condition, and assess the energy storage potential and recovery potential under the current operating condition. S3: Energy supply and demand forecasting and spatiotemporal matching: Based on the results of energy status assessment, combined with historical operating data and preset scheduling strategies, predict the lifting energy demand and descent energy supply of each device within a future time window, and establish spatiotemporal matching pairs for energy supply and demand across devices and cycles. S4: Direct transfer control of hydraulic potential well energy: Based on the established cross-equipment and cross-cycle energy supply and demand time and space matching pair, control commands are generated to control the hydraulic valve group and accumulator in the hydraulic potential well device, and the hydraulic potential energy released by one or more logistics loading and unloading equipment in the lowering condition is directly transferred to one or more logistics loading and unloading equipment in the lifting condition through the hydraulic pipeline to provide auxiliary power for its lifting action. S5: Dynamic optimization and mode switching of control strategy: During the energy transfer process, the accumulator pressure and hydraulic pipeline flow status of the hydraulic potential trap device are monitored in real time, the flow distribution ratio and transfer sequence of direct energy transfer are dynamically adjusted, and adaptive switching is performed between direct energy transfer mode, energy-assisted recovery mode and conventional independent operation mode according to the overall energy efficiency status of the system. S6: Energy-saving effect assessment and feedback output: Based on the comparison of energy consumption data before and after direct energy transfer, calculate the real-time energy saving rate and cumulative energy saving, generate an energy-saving operation assessment report, and display it through a visual operation interface.

2. The energy-saving operation control method for logistics loading and unloading equipment according to claim 1, characterized in that, The energy storage potential and recovery potential are specifically defined as follows: based on the load mass, lifting speed and acceleration curve under the lifting condition, the increase in potential energy required to overcome gravity during the lifting process and the increase in kinetic energy during the acceleration phase are calculated, and the increase in kinetic energy is taken as the potential lifting kinetic energy that can be stored. Based on the load mass, descent speed curve and braking deceleration under descent conditions, the gravitational potential energy that can be released during descent and the kinetic energy that can be recovered during braking are calculated. The sum of the releaseable gravitational potential energy and the recoverable kinetic energy is taken as the recoverable descent potential energy.

3. The energy-saving operation control method for logistics loading and unloading equipment according to claim 1, characterized in that, The establishment of cross-device, cross-cycle energy supply and demand spatiotemporal matching pairs specifically involves mapping the predicted lift energy demand and descent energy supply to the time-device coordinate system, and using an optimization algorithm based on bipartite graph maximum weight matching to match one or more descent energy supplies for each lift energy demand, while satisfying energy conservation and equipment physical constraints. The start time, duration, and flow allocation weight of direct energy transfer are determined to achieve optimal direct energy transfer in time and space.

4. An energy-saving operation control system for logistics loading and unloading equipment, used to implement the energy-saving operation control method for logistics loading and unloading equipment as described in any one of claims 1-3, characterized in that, It includes a data acquisition module, a working condition identification module, a potential prediction module, a potential well state monitoring module, an energy matching module, a command generation module, a hydraulic execution module, and a feedback optimization module; The data acquisition module is used to collect the operating status parameters and load characteristic parameters of each logistics loading and unloading equipment in real time. The operating condition identification module is used to automatically identify whether the logistics loading and unloading equipment is currently in lifting or lowering condition based on the collected operating status parameters and load characteristic parameters. The potential prediction module is used to calculate the potential for storing lifting kinetic energy when a lifting condition is identified, and to calculate the potential for recoverable descent potential energy when a descent condition is identified. The potential well status monitoring module is used to monitor the accumulator pressure and hydraulic pipeline flow in the hydraulic potential well device in real time. The energy matching module is used to receive potential data and potential well status data of each logistics loading and unloading equipment, and combine them with preset scheduling strategies to generate energy supply and demand spatiotemporal matching pairs across equipment and cycles. The instruction generation module is used to generate control instructions for the hydraulic valve group and accumulator in the hydraulic potential trap device based on the spatiotemporal matching of energy supply and demand across devices and cycles. The hydraulic actuator module is used to receive and execute the control commands to realize the direct transfer of hydraulic energy between the lowering device and the lifting device; The feedback optimization module is used to compare the actual effect of energy transfer with the expected effect in real time, calculate the deviation, and adjust the scheduling strategy in the energy matching module online based on the deviation. The human-computer interaction module provides a visual operating interface and displays energy-saving operation assessment reports.

5. The energy-saving operation control system for logistics loading and unloading equipment according to claim 4, characterized in that, The hydraulic potential trap device is an integrated hydraulic energy exchanger, which contains multiple isolated chambers that can exchange pressure energy through pistons or rotors. It is used to realize the direct transmission of hydraulic energy between the first hydraulic circuit and the second hydraulic circuit without converting the hydraulic energy into electrical energy or mechanical energy. The first hydraulic circuit is connected to the lowering device, and the second hydraulic return circuit is connected to the lifting device.

6. The energy-saving operation control system for logistics loading and unloading equipment according to claim 4, characterized in that, The energy matching module contains a scheduling strategy optimization unit based on reinforcement learning. This unit uses historical energy supply and demand data, actual transfer efficiency, and energy saving rate as training samples, and aims to maximize the long-term cumulative energy saving rate to dynamically adjust the priority weight and matching threshold of cross-device energy matching.

7. The energy-saving operation control system for logistics loading and unloading equipment according to claim 4, characterized in that, The energy-saving operation control system also includes a safety interlock module, which is used to immediately cut off the direct energy transfer path and switch the relevant equipment to the normal independent operation mode when equipment failure, hydraulic pipeline pressure exceeding the limit or accumulator status is detected.

8. The energy-saving operation control system for logistics loading and unloading equipment according to claim 4, characterized in that, The human-computer interaction module supports real-time display of the energy flow path, flow rate, and transfer efficiency between multiple logistics loading and unloading equipment and hydraulic potential trap devices in a three-dimensional dynamic graphic format.

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