Remote monitoring method and device for dredging construction and electronic equipment

Abstract

The application provides a dredging construction remote monitoring method, device and electronic equipment. The method comprises the following steps: acquiring a plurality of actual state data of a cutter suction dredger; acquiring corresponding standard data ranges of the cutter suction dredger in different construction states and data priorities corresponding to different construction states from a pre-established basic rule library; for each construction state, whether the plurality of actual state data is in the corresponding standard data range of the construction state is detected in sequence according to the data priority corresponding to the construction state, so as to determine the construction state of the cutter suction dredger. The application can improve the remote monitoring accuracy of the cutter suction dredger.

Description

TECHNICAL FIELD

[0001] The present application relates to the dredging engineering technical field, and particularly relates to a remote monitoring method and device for dredging construction and electronic equipment. BACKGROUND

[0002] In the process of the dredging construction of the cutter suction dredger, the engineering management party can collect state parameters of each related construction equipment on the cutter suction dredger to determine the construction state of the cutter suction dredger, so as to realize the remote monitoring of the dredging construction.

[0003] However, limited by the construction party, the engineering management party can usually only obtain a small amount of state parameters, and cannot completely collect each state parameter of each related construction equipment on the cutter suction dredger, which makes the engineering management party only be able to perform the remote monitoring of the dredging construction based on a small amount of state parameters, and further leads to the problem of low remote monitoring accuracy of the dredging engineering. SUMMARY

[0004] The present application provides a remote monitoring method and device for dredging construction and electronic equipment to improve the remote monitoring accuracy of the dredging construction.

[0005] In a first aspect, the present application provides a remote monitoring method for dredging construction, comprising:

[0006] obtaining a plurality of actual state data of a cutter suction dredger;

[0007] from a pre-established basic rule library, obtaining a standard data range corresponding to different construction states of the cutter suction dredger and a data priority corresponding to different construction states;

[0008] for each construction state, in accordance with the data priority corresponding to the construction state, sequentially detecting whether the plurality of actual state data is in the standard data range corresponding to the construction state to determine the construction state of the cutter suction dredger.

[0009] In a possible implementation manner, the actual state data includes first type state data and second type state data, and the standard data range includes first type standard data range and second type standard data range corresponding to different construction states.

[0010] for each construction state, in accordance with the data priority corresponding to the construction state, sequentially detecting whether the plurality of actual state data is in the standard data range corresponding to the construction state to determine the construction state of the cutter suction dredger, comprising:

[0011] for each construction state, detecting whether the first type state data is in the first type standard data range corresponding to the construction state;

[0012] if the first type of state data is in the first type of standard data range corresponding to the construction state, determining that the cutter suction dredger is in the construction state;

[0013] detecting whether the second type of state data is in the second type of standard data range corresponding to the construction state;

[0014] if the second type of state data is in the second type of standard data range corresponding to the construction state, determining that the construction state of the cutter suction dredger is an optimal construction state.

[0015] In a possible implementation, after the detection of whether the second type of state data is in the second type of standard data range corresponding to the construction state, the method comprises:

[0016] if the second type of state data is not in the second type of standard data range corresponding to the construction state, determining that the construction state of the cutter suction dredger does not belong to the optimal construction state, and sending a prompt information to the cutter suction dredger to prompt the cutter suction dredger to adjust the construction parameter.

[0017] In a possible implementation, the state data further comprises third type of state data, and the standard data range further comprises third type of standard data range corresponding to different construction states.

[0018] after the determination that the cutter suction dredger is in the construction state, the method further comprises:

[0019] detecting whether the third type of state data is in the third type of standard data range corresponding to the construction state;

[0020] if the third type of state data is in the third type of standard data range corresponding to the construction state, determining that the construction state of the cutter suction dredger is compliant.

[0021] the detection of whether the second type of state data is in the second type of standard data range corresponding to the construction state comprises:

[0022] if the construction state of the cutter suction dredger is compliant, detecting whether the second type of state data is in the second type of standard data range corresponding to the construction state.

[0023] In a possible implementation, after the detection of whether the third type of state data is in the third type of standard data range corresponding to the construction state, the method further comprises:

[0024] if the third type of state data is not in the third type of standard data range corresponding to the construction state, determining that the construction state of the cutter suction dredger is non-compliant, and sending a warning information to the cutter suction dredger to warn the cutter suction dredger to stop the current construction operation.

[0025] In a possible implementation, when the construction state is the dredging overflow state;

[0026] The first type of state data includes actual draft change data and actual mud tank liquid level change data;

[0027] The second type of state data includes actual speed data;

[0028] The third type of state data includes actual position data;

[0029] The first type of standard data range includes a first standard draft change range and a first standard mud tank liquid level change range corresponding to the dredging overflow state;

[0030] The second type of standard data range includes a first standard speed range corresponding to the dredging overflow state;

[0031] The third type of standard data range includes a first standard position range corresponding to the dredging overflow state.

[0032] In a possible implementation, when the construction state is the mud throwing state;

[0033] The first type of state data includes actual mud gate switch state and actual mud tank liquid level change data;

[0034] The second type of state data includes actual speed data;

[0035] The third type of state data includes actual position data;

[0036] The first type of standard data range includes a standard mud gate switch state and a second standard mud tank liquid level change range corresponding to the mud throwing state;

[0037] The second type of standard data range includes a second standard speed range corresponding to the mud throwing state;

[0038] The third type of standard data range includes a second standard position range corresponding to the mud throwing state.

[0039] In a possible implementation, when the construction state is the transportation state;

[0040] The first type of state data includes actual position data, actual heading data, and actual mud tank liquid level data;

[0041] The second type of state data includes actual speed data;

[0042] The first type of standard data range includes: a third standard position range corresponding to the transport state, a standard heading range, and a standard mud tank liquid level range.

[0043] The second type of standard data range includes: a third standard speed range corresponding to the transport state.

[0044] In a second aspect, an embodiment of the present application provides a remote monitoring device for dredging construction, comprising:

[0045] An acquisition module is configured to:

[0046] acquire a plurality of actual state data of the cutter suction dredger;

[0047] acquire, from a pre-established basic rule library, a standard data range corresponding to different construction states of the cutter suction dredger and a data priority corresponding to different construction states;

[0048] A monitoring module is configured to, for each construction state, sequentially detect whether the plurality of actual state data is within the standard data range corresponding to the construction state according to the data priority corresponding to the construction state, to determine the construction state of the cutter suction dredger.

[0049] In a third aspect, an embodiment of the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method according to the first aspect or any possible implementation manner of the first aspect.

[0050] In a fourth aspect, an embodiment of the present application provides a computer readable storage medium, which stores a computer program, wherein the computer program is executable by a processor to implement the steps of the method according to the first aspect or any possible implementation manner of the first aspect.

[0051] The embodiments of the present application provide a remote monitoring method and device for dredging construction and an electronic device. A basic rule library is pre-established, which contains standard data ranges and data priorities in different construction states. The priority of state data in different states can be determined according to the influence of the state data on the construction state. In the process of remotely monitoring the cutter suction dredger, the actual state data of the cutter suction dredger is sequentially detected according to the data priority to determine the construction state of the cutter suction dredger, without acquiring a large amount of state data. Only a small amount of state data with high priority needs to be acquired, so that the remote monitoring of the dredging construction can be realized. The monitoring accuracy and efficiency can be improved. BRIEF DESCRIPTION OF DRAWINGS

[0052] In order to make the technical solutions in the embodiments of the present application clearer, the accompanying drawings needed in the embodiments or prior art description will be briefly introduced below. Obviously, the accompanying drawings in the following description only show some embodiments of the present application, and other drawings can be obtained by those skilled in the art without any creative effort based on these drawings.

[0053] Figure 1 is an implementation flowchart of the remote monitoring method for dredging construction provided by an embodiment of the present application;

[0054] Figure 2 is an implementation flowchart of determining the construction state of the cutter suction dredger provided by an embodiment of the present application;

[0055] Figure 3 is an implementation flowchart of determining the construction state of the cutter suction dredger provided by another embodiment of the present application;

[0056] Figure 4 is a structural schematic diagram of the remote monitoring device for dredging construction provided by an embodiment of the present application;

[0057] Figure 5 is a schematic diagram of the electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0058] In the following description, specific details are set forth in order to provide a thorough understanding of embodiments of the present application. However, persons skilled in the art will understand that the present application can be practiced without these specific details. In other instances, well-known structures, devices, circuits, and methods have not been described in detail in order to avoid obscuring the present application.

[0059] During the dredging construction of the cutter suction dredger, the engineering management party needs to monitor the ship trajectory and construction parameters in real time, so as to monitor the construction process. In the related art, the construction control system is usually installed on the cutter suction dredger to obtain the state parameters of each related construction equipment on the cutter suction dredger, so as to monitor the construction state of the ship in real time according to a large number of state parameters.

[0060] However, the construction party usually interferes with the data acquisition work of the construction control system to evade the construction monitoring of the engineering management party, which makes the engineering management party only obtain a small amount of state data by setting sensors to perform remote monitoring of the dredging construction, and thus causes the problem of low accuracy of remote monitoring of the dredging construction.

[0061] For the purpose of improving the remote monitoring accuracy of the dredging construction, the embodiment of the present application pre-establishes a basic rule library, which contains standard data ranges and data priorities in different construction states. Here, the priority of different state data can be determined according to the influence degree of the state data on the construction state. In the process of remotely monitoring the cutter suction dredger, the actual state data of the cutter suction dredger is detected in stages according to the data priority to determine whether the actual state data is within the corresponding standard data range, so as to determine the construction state of the cutter suction dredger. Without obtaining a large amount of state data, only a small amount of state data with high priority needs to be obtained, so as to realize the remote monitoring of the dredging construction, which not only improves the monitoring accuracy, but also effectively improves the monitoring efficiency.

[0062] For the purpose of understanding, before introducing the embodiment of the present application, the process of the dredging construction of the cutter suction dredger is briefly introduced.

[0063] In order to ensure the navigation safety of the waterway, the cutter suction dredger is usually used to excavate and maintain the waterway, so that the water depth of the waterway is maintained within a reasonable range. The process of the cutter suction dredger excavating and maintaining the waterway is the process of the dredging construction. The process of the dredging construction mainly includes different construction states such as dredging overflow-transportation-dumping / blowing. Different construction states correspond to different preset construction areas, i.e., the dredging overflow operation is performed in the preset dredging overflow area, the transportation operation is performed in the preset transportation area, and the dumping / blowing operation is performed in the preset dumping / blowing area.

[0064] In the dredging overflow state, the cutter suction dredger first performs the dredging operation. During the dredging operation, the internal sediment of the waterway is sucked into the internal mud tank of the cutter suction dredger from the bottom of the ship. When the mixture of the internal sediment and water in the mud tank reaches the highest liquid level of the mud tank, the cutter suction dredger starts to perform the overflow operation while performing the dredging operation. During the overflow operation, the internal sediment of the waterway continues to be sucked into the internal mud tank of the ship from the bottom of the ship, and at the same time, the high-concentration sediment-containing water on the upper surface of the mud tank is discharged into the sea surface through the tank overflow bucket, so as to discharge the water in the mud tank and retain the sediment in the mud tank, thereby maximizing the sediment content and minimizing the water content in the mud tank.

[0065] After the dredging overflow operation is completed, the cutter suction dredger changes to the transportation state and drives away from the dredging overflow area to the dumping / blowing area. After arriving at the dumping / blowing area, the cutter suction dredger changes to the dumping state or the blowing state to perform the dumping operation or the blowing operation to empty the internal sediment of the mud tank.

[0066] Here, the dumping operation and the blowing operation belong to different operation modes for emptying the internal sediment of the mud tank. Due to the hardware limitations of the cutter suction dredger, different cutter suction dredgers can adopt different operation modes to empty the internal sediment of the mud tank.

[0067] After the end of the mud throwing / dredging, the cutter suction dredger reverts to the transport state, leaves the mud throwing / dredging area, and returns to the dredging overflow area. After reaching the dredging overflow area, the dredging overflow operation is resumed. This cycle is repeated until the dredging construction is completed.

[0068] In order to make the objects, technical solutions and advantages of the present application clearer, the following will be described by specific embodiments in conjunction with the accompanying drawings.

[0069] Figure 1 The implementation flowchart of the remote monitoring method for dredging construction provided by the embodiments of the present application is described in detail as follows:

[0070] In step 101, a plurality of actual state data of the cutter suction dredger is acquired.

[0071] In the embodiments of the present application, the actual state data mainly includes AIS data and mud tank data. The AIS data refers to the data acquired based on the automatic identification system (AIS) on the cutter suction dredger, which includes actual position data, actual heading data, actual speed data, and actual change in draft depth data, etc. According to relevant regulations, the cutter suction dredger must be equipped with the AIS system and keep normal operation for 24 hours. Therefore, the embodiments of the present application can take the AIS data as the data basis for remote monitoring.

[0072] The mud tank data mainly includes actual mud gate switch state, actual mud tank liquid level data, and actual mud tank liquid level change data, etc. The actual mud gate switch state can be monitored by a motion sensor. The actual mud tank liquid level data and the actual mud tank liquid level change data can be monitored by a liquid level meter. Considering that the motion sensor and the liquid level meter are mature detection devices which are not easy to be disturbed and have low cost, the embodiments of the present application can take the above mud tank data as the data basis for remote monitoring of the dredging construction, thereby reducing the monitoring cost of the remote monitoring and improving the economic feasibility of the remote monitoring.

[0073] In step 102, the standard data range corresponding to different construction states of the cutter suction dredger and the data priority corresponding to different construction states are acquired from a pre-established basic rule library.

[0074] Corresponding to the actual position data, the actual heading data, the actual speed data, the actual change in draft depth data, the actual mud gate switch state, the actual mud tank liquid level data, and the actual mud tank liquid level change data, the standard data range corresponding to different construction states mainly includes the standard position range, the standard heading range, the standard change in draft depth range, the standard mud gate switch state, the standard mud tank liquid level range, and the standard mud tank liquid level change range in different construction states.

[0075] The standard position range under different construction states is used to represent the preset construction range corresponding to different construction states. For example, the standard position range under the dredging overflow state is the position range corresponding to the preset dredging overflow area. The standard position range under the transportation state is the position range corresponding to the preset transportation area. The standard position range under the mud throwing / blowing state is the position range corresponding to the preset mud throwing / blowing area. The standard position range under different construction states can be determined according to actual conditions.

[0076] The standard heading range is used to represent the standard navigation direction range of the cutter suction dredger. For the cutter suction dredger in the transportation state, the standard navigation direction range of the cutter suction dredger in the transportation state can be determined according to the positional relationship between the dredging overflow area and the mud throwing / blowing area.

[0077] The cutter suction dredger opens the mud door in the mud throwing state to diffuse the water-containing mud in the mud tank to the mud throwing area through the mud door, so as to realize the mud throwing operation. For the mud throwing state, the standard mud door opening and closing state can be the opening state. For other construction states, the standard mud door opening and closing state is the closing state.

[0078] The standard mud tank liquid level range, the standard mud tank liquid level change range, and the standard draft change range are used to reflect the real-time liquid level of the mud tank, the liquid level change of the mud tank, and the draft change of the ship. In the embodiment of the present application, the standard mud tank liquid level range, the standard mud tank liquid level change range, and the standard draft change range corresponding to different construction states can be determined by pre-statistically determining the mud tank liquid level, the mud tank liquid level change, and the draft change of different cutter suction dredgers under different construction states.

[0079] For the same construction state, the draft change data of different cutter suction dredgers can be statistically determined, the average value of the draft change data is determined as the interval midpoint, and the standard draft change range is determined. The determination method of the standard mud tank liquid level range and the standard mud tank liquid level change range is the same, and will not be described here.

[0080] In the embodiment of the present application, the AIS data and the mud tank data contain a plurality of data. Under different construction states, the influence degree (importance) of each data on the construction state is different. According to the influence degree (importance) of each data under different construction states, the priority of each data under different construction states can be determined correspondingly.

[0081] In step 103, for each construction state, whether the plurality of actual state data is in the standard data range corresponding to the construction state is detected in sequence according to the data priority corresponding to the construction state, so as to determine the construction state of the cutter suction dredger.

[0082] In the process of the drag suction dredging construction, mainly includes: the overflow state of the dredging, the transportation state, and the state of throwing mud or the state of blowing filling. The priority of each actual state data is different in each construction state, and the standard data range corresponding to each construction state is different.

[0083] The embodiment of the application can determine whether the drag suction dredging ship is in the construction state according to the data priority corresponding to each construction state, and then determine the construction state of the drag suction dredging ship.

[0084] Compared with the prior art, the embodiment of the application establishes a basic rule library in advance, which contains the standard data range and the data priority in different construction states. Here, the priority of different state data can be determined according to the influence degree of the state data on the construction state. In the process of remotely supervising the drag suction dredging ship, whether each actual state data of the drag suction dredging ship is in the corresponding standard data range is detected according to the data priority to determine the construction state of the drag suction dredging ship. A large amount of state data is not required, only a small amount of state data with high priority is required, so that the remote supervision of the dredging construction can be realized, which not only improves the supervision accuracy, but also effectively improves the supervision efficiency.

[0085] In some embodiments, the actual state data includes: first type state data and second type state data; accordingly, the standard data range includes: the first type standard data range and the second type standard data range corresponding to different construction states. Here, the priority of the first type state data is higher than the priority of the second type state data.

[0086] Referring to Figure 2 In determining the construction state of the drag suction dredging ship, the following steps are mainly included:

[0087] Step 201, for each construction state, detecting whether the first type state data is in the first type standard data range corresponding to the construction state.

[0088] The first type state data can be the key state data for determining whether the drag suction ship is in the construction state. By detecting whether the first type state data is in the first type standard data range corresponding to the construction state, it can be determined whether the drag suction dredging ship is in the construction state.

[0089] It can be understood that the first type state data can include different actual state data in different construction states.

[0090] In the dredging and overflow state, the cutter suction dredger mainly realizes the dredging operation by absorbing the sediment-laden water at the bottom of the channel from the bottom of the mud tank, and realizes the overflow operation by discharging the sediment-laden water on the surface of the mud tank through the overflow barrel of the tank. Both the dredging operation and the overflow operation will directly affect the change of the liquid level of the mud tank and the change of the draft of the ship. Therefore, in the dredging and overflow state, the first type of state data can include actual mud tank liquid level change data and actual draft change data.

[0091] Among them, the actual mud tank liquid level change data is used to reflect the volume change of the sediment-laden water in the mud tank. The actual draft change data is used to reflect the weight change of the sediment-laden water in the mud tank. It can be understood that at the same mud tank liquid level, the higher the sediment content in the mud tank, the greater the draft of the ship.

[0092] In the dredging and overflow state, the cutter suction dredger mainly realizes the dredging operation by absorbing the sediment-laden water at the bottom of the channel from the bottom of the mud tank, and realizes the overflow operation by discharging the sediment-laden water on the surface of the mud tank through the overflow barrel of the tank. Both the dredging operation and the overflow operation will directly affect the change of the liquid level of the mud tank and the change of the draft of the ship. Therefore, in the dredging and overflow state, the first type of state data can include actual mud tank liquid level change data and actual draft change data.

[0093] The blowing state is the same as the dredging state, which is used to empty the water and sediment in the mud tank. But the blowing state does not need to open the mud door, but empties the water and sediment in the mud tank by blowing. Accordingly, in the blowing state, the first type of state data can include actual mud tank liquid level change data.

[0094] In the transportation state, the cutter suction dredger is mainly used to sail from the dredging and overflow area to the dredging / blowing area, or return from the dredging / blowing area to the dredging and overflow area. In the transportation state, the first type of state data can include actual position data and actual heading data. In addition, considering that the cutter suction dredger usually sails from the dredging and overflow area to the dredging / blowing area with a full load of mud tank, and sails from the dredging / blowing area to the dredging and overflow area with an empty load of mud tank. The first type of state data in the transportation state can also include actual mud tank liquid level data.

[0095] Step 202, if the first type of state data is within the first type of standard data range corresponding to the construction state, it is determined that the cutter suction dredger is in the construction state.

[0096] In the dredging and overflow state, the first type of standard data range includes the first standard draft change range corresponding to the dredging and overflow state, and the first standard mud tank liquid level change range.

[0097] If the actual mud tank liquid level change data is in the first standard mud tank liquid level change range corresponding to the dredging overflow state, and the actual draft change data is in the first standard draft change range corresponding to the dredging overflow state, it is determined that the cutter suction dredger is in the dredging overflow state.

[0098] In the dumping state, the first type of standard data range includes: the standard mud door switch state corresponding to the dumping state, and the second standard mud tank liquid level change range;

[0099] If the actual mud door switch state is consistent with the standard mud door switch state, and the actual draft change data is in the second standard draft change range corresponding to the dumping state, it is determined that the cutter suction dredger is in the dumping state.

[0100] The blowing state is the same as the dumping state, but the blowing state does not involve the opening and closing state of the mud door, which will not be described here.

[0101] In the transportation state, the first type of standard data range includes: the third standard position range corresponding to the transportation state, the standard heading range, and the standard mud tank liquid level range;

[0102] Here, the standard heading range includes the first standard heading range from the dredging overflow area to the dumping area, and the second standard heading range from the dumping area to the dredging overflow area.

[0103] The standard mud tank liquid level range includes the full load mud tank liquid level range from the dredging overflow area to the dumping area, and the empty load mud tank liquid level range from the dumping area to the dredging overflow area.

[0104] If the actual position data is in the third standard position range corresponding to the transportation state, it is determined that the cutter suction dredger is in the transportation state.

[0105] If the actual heading data is in the first standard heading range, and the actual mud tank liquid level data is in the full load mud tank liquid level range, it is determined that the cutter suction dredger is from the dredging overflow area to the dumping / blowing area.

[0106] If the actual heading data is in the second standard heading range, and the actual mud tank liquid level data is in the empty load mud tank liquid level range, it is determined that the cutter suction dredger is from the dumping / blowing area to the dredging overflow area.

[0107] In some embodiments, after step 201, it further includes:

[0108] Step 205, if the first type of state data is not in the first type of standard data range corresponding to the construction state, it is determined that the construction state of the cutter suction dredger is not in the construction state.

[0109] In step 203, it is detected whether the second type of state data is in the second type of standard data range corresponding to the construction state.

[0110] In the embodiments of the present application, for the dredging overflow state, the mud throwing state, the blowing filling state and the transportation state,

[0111] The second type of state data can include actual speed data. Correspondingly, the second type of standard data range can include a first standard speed range corresponding to the dredging overflow state, a second standard speed range corresponding to the mud throwing state, a third standard speed range corresponding to the transportation state, and a fourth standard speed range corresponding to the blowing filling state.

[0112] For example, the first standard speed range can be 2-3 knots, the second standard speed range can be 0-1.5 knots, the third standard speed range can be 7-9 knots, and the fourth standard speed range can be 0-0.1 knots.

[0113] In step 204, if the second type of state data is in the second type of standard data range corresponding to the construction state, it is determined that the construction state of the cutter suction dredger is the best construction state.

[0114] In some embodiments, after step 203, the following steps are included:

[0115] In step 206, if the second type of state data is not in the second type of standard data range corresponding to the construction state, it is determined that the construction state of the cutter suction dredger does not belong to the best construction state, and a prompt information is sent to the cutter suction dredger to prompt the cutter suction dredger to adjust the construction parameters.

[0116] If the cutter suction dredger is in the dredging overflow state, and the actual speed data of the cutter suction dredger is in the above-mentioned first standard speed range, it is determined that the cutter suction dredger is in the best dredging overflow state. However, if the actual speed data of the cutter suction dredger is not in the above-mentioned first standard speed range, the cutter suction dredger is prompted to adjust the speed.

[0117] Similarly, if the cutter suction dredger is in the mud throwing state, and the actual speed data of the cutter suction dredger is in the above-mentioned second standard speed range, it is determined that the cutter suction dredger is in the best mud throwing state. However, if the actual speed data of the cutter suction dredger is not in the above-mentioned second standard speed range, the cutter suction dredger is prompted to adjust the speed.

[0118] It should be noted that the speed of the cutter suction dredger directly affects the effect of dredging construction. Especially for the dredging overflow state, the mud throwing state and the blowing filling state, by detecting and adjusting the speed accordingly, the dredging construction effect of the cutter suction dredger can be improved.

[0119] Considering that construction operations involving dredging overflow, dumping, or reclamation may involve violations, such as performing dumping or reclamation outside designated areas, another embodiment of this invention proposes a novel method for determining the construction status of a trailing suction hopper dredger to accurately detect such violations. In this embodiment, the status data further includes: third-category status data; the standard data range also includes: third-category standard data ranges corresponding to different construction statuses.

[0120] See Figure 3 The method includes:

[0121] Step 301: For each construction state, check whether the data of the first type of state is within the range of the first type of standard data corresponding to that construction state.

[0122] Step 302: If the first type of status data is within the first type of standard data range corresponding to the construction status, then it is determined that the trailing suction hopper dredging vessel is in the construction status.

[0123] The specific implementation methods of steps 301-302 above are as follows: Figure 2 The corresponding implementation methods are the same, and will not be repeated here.

[0124] Step 303: Check whether the third type of status data is within the range of the third type of standard data corresponding to the construction status.

[0125] Here, the third type of status data may include: actual location data.

[0126] For dredging overflow conditions, the third category of standard data range includes: the first standard location range corresponding to the dredging overflow condition.

[0127] For mud dumping conditions, the third category of standard data range includes: the second standard position range corresponding to the mud dumping conditions.

[0128] For the dredging and filling state, the third category of standard data range includes: the fourth standard position range corresponding to the dredging and filling state.

[0129] The inventors have discovered that, in order to improve operational efficiency and reduce operating costs, construction operators often perform dredging, dumping, and reclamation operations outside of designated dredging overflow, dumping, and reclamation areas. However, this practice is detrimental to waterway maintenance and may even endanger waterway operational safety. To effectively monitor this illegal operation, this invention utilizes the actual location data of trailing suction hopper dredgers in dredging overflow, dumping, and reclamation states to determine whether any violations have occurred.

[0130] If the third type of state data is in the third standard data range corresponding to the construction state, it is determined that the construction state of the drag suction dredger is compliant.

[0131] If the actual position data is in the standard position range corresponding to the construction state, it is determined that the construction state of the drag suction dredger is compliant, and the second type of state data is continuously monitored.

[0132] If the construction state of the drag suction dredger is compliant, it is determined whether the second type of state data is in the second type of standard data range corresponding to the construction state.

[0133] If the second type of state data is in the second type of standard data range corresponding to the construction state, it is determined that the construction state of the drag suction dredger is the optimal construction state.

[0134] The specific implementation of steps 305-306 is the same as that of the corresponding embodiment, which will not be repeated here. Figure 2

[0135] In some embodiments, after step 303, the method further comprises:

[0136] If the third type of state data is not in the third standard data range corresponding to the construction state, it is determined that the construction state of the drag suction dredger is not compliant, and a warning message is sent to the drag suction dredger to warn the drag suction dredger to stop the current construction operation.

[0137] If the actual position data is not in the standard position range corresponding to the construction state, it is determined that the construction state of the drag suction dredger is not compliant, and a warning message needs to be sent to warn the drag suction dredger to immediately stop the current construction operation.

[0138] In some embodiments, after step 302, the method further comprises:

[0139] If the first type of state data is not in the first type of standard data range corresponding to the construction state, it is determined that the construction state of the drag suction dredger does not belong to the construction state.

[0140] In some embodiments, after step 305, the method comprises:

[0141] If the second type of state data is not in the second type of standard data range corresponding to the construction state, it is determined that the construction state of the drag suction dredger does not belong to the optimal construction state, and a prompt message is sent to the drag suction dredger to prompt the drag suction dredger to adjust the construction parameters.

[0142] ​The embodiment of the present application is aimed at a cutter suction dredger in a dredging overflow state, a dredging throwing state and a dredging filling state, corresponding to detecting whether it is in a standard position range, thereby accurately detecting illegal operation of the cutter suction dredger to avoid disturbing the safety of the channel.

[0143] It should be understood that the size of the serial number of each step in the above embodiment does not mean the order of execution, and the execution order of each process should be determined according to its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiment of the present application.

[0144] The following is the device embodiment of the present application, and for details not described in detail, reference can be made to the corresponding method embodiments described above.

[0145] Figure 4 The structure schematic diagram of the remote monitoring device for dredging construction provided by the embodiment of the present application is shown, only the part related to the embodiment of the present application is shown for the convenience of description, and the details are as follows:

[0146] As Figure 4 shown, the remote monitoring device for dredging construction comprises an acquisition module 41 and a monitoring module 42.

[0147] The acquisition module 41 is used for:

[0148] acquiring a plurality of actual state data of the cutter suction dredger;

[0149] from a pre-established basic rule library, acquiring a corresponding standard data range of the cutter suction dredger in different construction states and a data priority corresponding to different construction states;

[0150] The monitoring module 42 is used for, for each construction state, in accordance with the data priority corresponding to the construction state, sequentially detecting whether the plurality of actual state data is in the standard data range corresponding to the construction state, to determine the construction state of the cutter suction dredger.

[0151] Optionally, the actual state data comprises first type state data and second type state data; the standard data range comprises first type standard data range and second type standard data range corresponding to different construction states;

[0152] The monitoring module 42 is specifically used for:

[0153] for each construction state, detecting whether the first type state data is in the first type standard data range corresponding to the construction state;

[0154] if the first type state data is in the first type standard data range corresponding to the construction state, it is determined that the cutter suction dredger is in the construction state;

[0155] determine whether the second type of state data is in the second type of standard data range corresponding to the construction state;

[0156] If the second type of state data is in the second type of standard data range corresponding to the construction state, it is determined that the construction state of the drag suction dredger is the best construction state.

[0157] Optionally, the supervision module 42 is further configured to:

[0158] If the second type of state data is not in the second type of standard data range corresponding to the construction state, it is determined that the construction state of the drag suction dredger does not belong to the best construction state, and a prompt information is sent to the drag suction dredger to prompt the drag suction dredger to adjust the construction parameters.

[0159] Optionally, the state data further includes third type of state data, and the standard data range further includes third type of standard data range corresponding to different construction states.

[0160] The supervision module 42 is further configured to:

[0161] determine whether the third type of state data is in the third type of standard data range corresponding to the construction state;

[0162] If the third type of state data is in the third type of standard data range corresponding to the construction state, it is determined that the construction state of the drag suction dredger is compliant.

[0163] The supervision module 42 is specifically configured to:

[0164] If the construction state of the drag suction dredger is compliant, it is determined whether the second type of state data is in the second type of standard data range corresponding to the construction state.

[0165] Optionally, the supervision module 42 is further configured to:

[0166] If the third type of state data is not in the third type of standard data range corresponding to the construction state, it is determined that the construction state of the drag suction dredger is not compliant, and a warning information is sent to the drag suction dredger to warn the drag suction dredger to stop the current construction operation.

[0167] Optionally, when the construction state is a dredging overflow state;

[0168] The first type of state data includes actual change data of the water depth and actual change data of the mud tank liquid level.

[0169] The second type of state data includes actual speed data.

[0170] The third type of state data includes actual position data.

[0171] The first type of standard data range includes: a first standard water depth variation range corresponding to the dredging overflow state, and a first standard change range of the mud tank liquid level;

[0172] The second type of standard data range includes: a first standard speed range corresponding to the dredging overflow state;

[0173] The third type of standard data range includes: a first standard position range corresponding to the dredging overflow state.

[0174] Optionally, when the construction state is the mud throwing state;

[0175] The first type of state data includes: an actual mud gate opening and closing state and actual change data of the mud tank liquid level;

[0176] The second type of state data includes: actual speed data;

[0177] The third type of state data includes: actual position data;

[0178] The first type of standard data range includes: a standard mud gate opening and closing state corresponding to the mud throwing state, and a second standard change range of the mud tank liquid level;

[0179] The second type of standard data range includes: a second standard speed range corresponding to the mud throwing state;

[0180] The third type of standard data range includes: a second standard position range corresponding to the mud throwing state.

[0181] Optionally, when the construction state is the transportation state;

[0182] The first type of state data includes: actual position data, actual heading data and actual mud tank liquid level data;

[0183] The second type of state data includes: actual speed data;

[0184] The first type of standard data range includes: a third standard position range corresponding to the transportation state, a standard heading range, and a standard mud tank liquid level range;

[0185] The second type of standard data range includes: a third standard speed range corresponding to the transportation state.

[0186] The remote monitoring device for dredging construction provided by the embodiment of the application can be used to implement the method embodiment, and has the same technical principles and implementation effects as the above method embodiment, which will not be described here.

[0187] Figure 5 is a schematic diagram of an electronic device provided by the embodiment of the application. As shown in Figure 5As shown, the electronic device 5 of this embodiment includes a processor 50, a memory 51, and a computer program 52 stored in the memory 51 and executable on the processor 50. The processor 50 implements the steps in the above-described various embodiments of the method for remotely supervising dredging construction when executing the computer program 52, such as Figure 1 Steps 101-103 as shown. Alternatively, the processor 50 implements the functions of the various modules / units in the above-described various embodiments when executing the computer program 52, such as Figure 4 The functions of modules 41-42 as shown.

[0188] For example, the computer program 52 can be segmented into one or more modules / units, which are stored in the memory 51 and executed by the processor 50 to complete the present application. The one or more modules / units can be a series of computer program instruction segments capable of completing a specific function, which are used to describe the execution process of the computer program 52 in the electronic device 5. For example, the computer program 52 can be segmented into Figure 4 Modules 41-42 as shown.

[0189] The electronic device 5 can be a desktop computer, a notebook, a palm computer, a cloud server, and other computing devices. The electronic device 5 can include, but is not limited to, a processor 50 and a memory 51. Those skilled in the art can understand that Figure 5 The electronic device 5 is merely an example and does not constitute a limitation on the electronic device 5, which can include more or fewer components than those shown, or combine certain components, or include different components, for example, the electronic device can also include an input / output device, a network access device, a bus, etc.

[0190] The processor 50 can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0191] The memory 51 can be an internal storage unit of the electronic device 5, such as a hard disk or a memory of the electronic device 5. The memory 51 can also be an external storage device of the electronic device 5, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. equipped on the electronic device 5. Further, the memory 51 can also include both the internal storage unit and the external storage device of the electronic device 5. The memory 51 is used to store the computer program and other programs and data required by the electronic device. The memory 51 can also be used to temporarily store data that has been output or will be output.

[0192] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above functional units and modules is exemplified, and in actual application, the above functions can be completed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit, and the integrated unit can be realized in the form of hardware or software. In addition, the specific names of each functional unit and module are only for easy distinction, and do not limit the protection scope of the application. The specific working process of the units and modules in the system can refer to the corresponding process in the foregoing method embodiments, which will not be described here.

[0193] In the above embodiments, the description of each embodiment has its own emphasis, and the parts not described or recorded in detail in a certain embodiment can be referred to the relevant description of other embodiments.

[0194] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized in electronic hardware or a combination of computer software and electronic hardware. Whether the functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. A person skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0195] In the embodiments of the present application, it should be understood that the disclosed apparatus / equipment and method can be implemented in other manners. For example, the embodiments of the apparatus / equipment described above are merely schematic, and the division of the modules or units is merely logical function division, and there can be another division manner in actual implementation. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections between the units can be indirect couplings or communication connections through some interfaces, devices or units, and can be electric, mechanical or in other forms.

[0196] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, i.e., can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiments.

[0197] In addition, each functional unit in the various embodiments of the present application can be integrated into a processing unit, or each unit can exist physically, or two or more units can be integrated into one unit. The integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0198] The integrated module / unit, if realized in the form of a software function unit and sold or used as an independent product, can be stored in a computer-readable storage medium. Based on such understanding, all or part of the processes in the above-mentioned embodiment methods can also be completed by a computer program instructing related hardware, and the computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-mentioned various dredging construction remote monitoring methods embodiments can be implemented. The computer program includes computer program code, which can be in the form of source code, object code, an executable file, or some intermediate form, etc. The computer-readable medium can include any entity or device capable of carrying the computer program code, a recording medium, a U disk, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc. The above-mentioned embodiments are only used to illustrate the technical solutions of the present application, rather than limit them; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that the technical solutions recorded in the foregoing embodiments can be modified, or some technical features can be replaced by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.

Claims

1. A method for remote monitoring of dredging operations, characterized in that, include: Obtain multiple real-time status data of the trailing suction hopper dredger; From the pre-established basic rule base, obtain the standard data range corresponding to the trailing suction hopper dredging vessel in different construction states, as well as the data priority corresponding to different construction states; For each construction state, according to the data priority corresponding to that construction state, the multiple actual state data are sequentially checked to see if they are within the standard data range corresponding to that construction state, so as to determine the construction state of the trailing suction hopper dredging vessel. The actual status data includes: first type of status data and second type of status data; the standard data range includes: the first type of standard data range and the second type of standard data range corresponding to different construction states; For each construction state, according to the data priority corresponding to that construction state, the multiple actual state data are sequentially checked to see if they are within the standard data range corresponding to that construction state, in order to determine the construction state of the trailing suction hopper dredger, including: For each construction state, check whether the data of the first type of state is within the range of the first type of standard data corresponding to that construction state; If the first type of status data is within the first type of standard data range corresponding to the construction status, then it is determined that the trailing suction dredger is in the construction status. Detect whether the second type of status data is within the range of the second type of standard data corresponding to the construction status; If the second type of status data is within the range of the second type of standard data corresponding to the construction status, then the construction status of the trailing suction hopper dredging vessel is determined to be the optimal construction status. When the construction state is a dredging overflow state, the first type of state data includes: actual draft depth change data and actual mud tank liquid level change data, and the second type of state data includes: actual speed data. When the construction state is mud dumping state, the first type of state data includes: actual mud gate opening and closing status and actual mud tank liquid level change data, and the second type of state data includes: actual speed data. When the construction status is a transportation status, the first type of status data includes: actual location data, actual heading data, and actual mud tank liquid level data, and the second type of status data includes: actual speed data.

2. The remote monitoring method for dredging construction according to claim 1, characterized in that, After detecting whether the second type of state data falls within the range of the second type of standard data corresponding to the construction state, the process includes: If the second type of status data is not within the range of the second type of standard data corresponding to the construction status, it is determined that the construction status of the trailing suction hopper dredger is not the optimal construction status, and a prompt message is sent to the trailing suction hopper dredger to prompt it to adjust the construction parameters.

3. The remote monitoring method for dredging construction according to claim 1 or 2, characterized in that, The status data also includes: third-category status data; the standard data range also includes: third-category standard data ranges corresponding to different construction states; After determining that the trailing suction hopper dredging vessel is in this working state, the method further includes: Detect whether the third type of status data is within the range of the third type of standard data corresponding to the construction status; If the third type of status data falls within the third type of standard data range corresponding to the construction status, then the construction status of the trailing suction hopper dredging vessel is determined to be compliant. The detection of whether the second type of status data falls within the range of the second type of standard data corresponding to the construction status includes: If the construction status of the trailing suction hopper dredging vessel is compliant, then it is checked whether the second type of status data is within the range of the second type of standard data corresponding to the construction status. When the construction status is dredging and overflow status, the third type of status data includes: actual location data; When the construction state is mud dumping state, the third type of state data includes: actual location data.

4. The remote monitoring method for dredging construction according to claim 3, characterized in that, After detecting whether the third type of state data falls within the third type of standard data range corresponding to the construction state, the method further includes: If the third type of status data is not within the third type of standard data range corresponding to the construction status, the construction status of the trailing suction hopper dredger is determined to be non-compliant, and a warning message is sent to the trailing suction hopper dredger to warn it to stop the current construction operation.

5. The remote monitoring method for dredging construction according to claim 3, characterized in that, When the construction state is a dredging overflow state; The first type of standard data range includes: the range of variation of the first standard draft corresponding to the dredging overflow state, and the range of variation of the first standard mud tank level; The second category of standard data range includes: the first standard speed range corresponding to the dredging overflow state; The third category of standard data range includes: the first standard location range corresponding to the dredging overflow state.

6. The remote monitoring method for dredging construction according to claim 3, characterized in that, When the construction state is the mud dumping state; The first type of standard data range includes: the standard mud gate opening and closing status corresponding to the mud dumping status, and the second standard mud tank liquid level change range; The second category of standard data range includes: the second standard speed range corresponding to the mud-throwing state; The third category of standard data range includes: the second standard position range corresponding to the mud-throwing state.

7. The remote monitoring method for dredging construction according to claim 1 or 2, characterized in that, When the construction status is the transportation status; The first category of standard data range includes: the range of third standard positions corresponding to transportation status, the range of standard course, and the range of standard mud tank liquid level; The second category of standard data range includes the third standard airspeed range corresponding to the transport status.

8. A remote monitoring device for dredging operations, characterized in that, include: The acquisition module is used for: Obtain multiple real-time status data of the trailing suction hopper dredger; From the pre-established basic rule base, obtain the standard data range corresponding to the trailing suction hopper dredging vessel in different construction states, as well as the data priority corresponding to different construction states; The monitoring module is used to detect whether the multiple actual status data are within the standard data range corresponding to each construction status according to the data priority of that construction status, so as to determine the construction status of the trailing suction hopper dredging vessel. The actual status data includes: first type of status data and second type of status data; the standard data range includes: the first type of standard data range and the second type of standard data range corresponding to different construction states; For each construction state, according to the data priority corresponding to that construction state, the multiple actual state data are sequentially checked to see if they are within the standard data range corresponding to that construction state, in order to determine the construction state of the trailing suction hopper dredger, including: For each construction state, check whether the data of the first type of state is within the range of the first type of standard data corresponding to that construction state; If the first type of status data is within the range of the first type of standard data corresponding to the construction status, then it is determined that the trailing suction dredger is in the construction status. Detect whether the second type of status data is within the range of the second type of standard data corresponding to the construction status; If the second type of status data is within the range of the second type of standard data corresponding to the construction status, then the construction status of the trailing suction hopper dredging vessel is determined to be the optimal construction status. When the construction state is a dredging overflow state, the first type of state data includes: actual draft depth change data and actual mud tank liquid level change data, and the second type of state data includes: actual speed data. When the construction state is mud dumping state, the first type of state data includes: actual mud gate opening and closing status and actual mud tank liquid level change data, and the second type of state data includes: actual speed data. When the construction status is a transportation status, the first type of status data includes: actual location data, actual heading data, and actual mud tank liquid level data, and the second type of status data includes: actual speed data.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the remote monitoring method for dredging operations as described in any one of claims 1 to 7.

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