Sensor-based monitoring system

Abstract

The invention discloses a sensor-based monitoring system, and the system comprises a first weight sensor which detects the weight data of a vehicle when the vehicle leaves from a leaving intersection of a cargo loading place and passes through the first weight sensor, and generates first vehicle counting data; the data processing module accumulates the received weight data of the vehicles to obtain current accumulated weight data of the vehicles, accumulates the first vehicle counting data, calculates the total number of the loaded vehicles, divides the current accumulated weight data of the vehicles by the total number of the loaded vehicles to obtain the average cargo capacity of the vehicles, and sends the average cargo capacity of the vehicles to the data processing module; dividing the remaining weight data of the to-be-loaded cargoes by the average cargo capacity of the vehicles, and calculating to obtain the number of the vehicles needing to be allocated; and the deploying module is used for sorting the vehicles in the to-be-loaded state from small to large according to the driving distances between the vehicles and the cargo loading places, and sending deploying instructions to the vehicles. The port cargo loading efficiency can be improved.

Description

Technical Field

[0001] The present invention relates to the field of port technology, and in particular to a monitoring system based on sensors. Background Art

[0002] With the continuous development of global trade, ports, as important logistics hubs, have become particularly important in improving their management and operational efficiency. The application of the Internet of Things and sensor technology in ports is gradually expanding, bringing significant improvements to port management and operational efficiency. However, the application of sensor technology in cargo loading is still lacking, resulting in insufficient monitoring of cargo loading, which affects the further improvement of cargo loading efficiency. When loading cargo, the vehicle mainly runs to the vicinity of the loading machinery, and the loading machinery transports the cargo to the vehicle. In this process, there is a lack of real-time monitoring of the weight of cargo loaded on a single vehicle, and therefore there is a lack of real-time deployment of vehicles based on real-time monitoring conditions. The flexibility of vehicle deployment is insufficient, which affects the improvement of cargo loading efficiency. Summary of the invention

[0003] An object of the present invention is to solve at least the above problems and / or disadvantages and to provide at least the advantages which will be described hereinafter.

[0004] An object of the present invention is to provide a sensor-based monitoring system that can monitor the cargo loading situation at a cargo loading site in real time and automatically deploy vehicles based on the monitoring situation, thereby improving the efficiency of port cargo loading.

[0005] In order to achieve these objects and other advantages according to the present invention, there is provided a sensor-based monitoring system comprising:

[0006] A first weight sensor is provided at a first vehicle detection point, wherein the first vehicle detection point is provided at an exit intersection of the cargo loading site, and when a vehicle leaves the exit intersection of the cargo loading site and passes through the first weight sensor, the first weight sensor detects weight data of the vehicle and generates a first vehicle counting data;

[0007] a data processing module, which records the total weight data of the goods to be loaded in the cargo loading place; whenever the first weight sensor detects the weight data of a vehicle, the first weight sensor sends the weight data of the vehicle and the first vehicle counting data to the data processing module; the data processing module accumulates the weight data of the vehicles that have been received to obtain the current vehicle cumulative weight data, and then subtracts the current vehicle cumulative weight data from the total weight data to calculate the remaining weight data of the goods to be loaded; the data processing module accumulates the first vehicle counting data to calculate the total number of vehicles that have been loaded, and uses the current vehicle cumulative weight data divided by the total number of vehicles that have been loaded to obtain the average vehicle cargo capacity; the data processing module then calculates the number of vehicles to be deployed according to the remaining weight data of the goods to be loaded divided by the average vehicle cargo capacity;

[0008] A dispatching module stores status data and location data of vehicles, wherein the status data of the vehicles includes whether the vehicles are in a loading state or a waiting-to-load state. The dispatching module receives the number of vehicles to be dispatched, determines the driving distance between each vehicle in the waiting-to-load state and the cargo loading place, sorts the vehicles in the waiting-to-load state from small to large according to the driving distance between each vehicle in the waiting-to-load state and the cargo loading place, sends dispatching instructions to the vehicles in the waiting-to-load state that are at the front of the sort and are consistent with the number of vehicles to be dispatched, so that the vehicles in the waiting-to-load state that are at the front of the sort and are consistent with the number of vehicles to be dispatched go to the cargo loading place to load cargo according to the dispatching instructions.

[0009] Preferably, the sensor-based monitoring system further includes a status acquisition device, which is arranged inside the vehicle, and has two status buttons, which respectively correspond to the vehicle being in a loading state and the vehicle being in a waiting state to be loaded with cargo. When either of the two status buttons is touched, the touched status button generates corresponding status data, and the status acquisition device sends the corresponding status data to the deployment module.

[0010] Preferably, the sensor-based monitoring system further includes a first card reader and an identification card, wherein the identification card is arranged inside the vehicle, the first card reader is arranged at the first vehicle detection point, and the identification card stores identity data of the vehicle. When the vehicle leaves from the exit intersection of the cargo loading site, the first card reader reads the identity data in the identification card and sends the identity data to the deployment module. After receiving the identity data sent by the first card reader, the deployment module sets the state of the vehicle corresponding to the identity data to the vehicle being in a cargo loading state.

[0011] Preferably, the sensor-based monitoring system further includes a second card reader, which is arranged at a second vehicle detection point, and the second vehicle detection point is arranged at an exit intersection of a cargo unloading site. When the vehicle leaves from the exit intersection of the cargo unloading site, the second card reader reads the identity data in the identification card and sends the identity data to the deployment module. After receiving the identity data sent by the second card reader, the deployment module sets the status of the vehicle corresponding to the identity data to the vehicle being in a state ready to load cargo.

[0012] Preferably, the sensor-based monitoring system further comprises a positioning device, wherein the positioning device is disposed inside the vehicle, and the positioning device is used to generate position data of the vehicle, and the positioning device sends the position data of the vehicle to the deployment module.

[0013] Preferably, the sensor-based monitoring system further includes a second weight sensor, which is arranged at the entrance of the cargo loading site. When the vehicle enters the entrance of the cargo loading site, the second weight sensor detects the vehicle and generates a second vehicle counting data. The second weight sensor sends the second vehicle counting data to the allocation module. Each time the allocation module receives a second vehicle counting data, the number of vehicles to be allocated is subtracted by 1.

[0014] Preferably, the sensor-based monitoring system further comprises a monitoring server, which communicates with the data processing module and sends the total weight data of the cargo to be loaded in the cargo loading place to the data processing module.

[0015] The present invention has at least the following beneficial effects:

[0016] The present invention provides a sensor-based monitoring system, comprising: a first weight sensor, which is arranged at a first vehicle detection point, and the first vehicle detection point is arranged at an exit intersection of a cargo loading site. When a vehicle leaves the exit intersection of the cargo loading site and passes through the first weight sensor, the first weight sensor detects the weight data of the vehicle and generates a first vehicle counting data; a data processing module, which records the total weight data of the cargo to be loaded in the cargo loading site. Whenever the first weight sensor detects the weight data of a vehicle, the first weight sensor sends the weight data of the vehicle and the first vehicle counting data to the data processing module. The data processing module accumulates the weight data of the received vehicles to obtain the current vehicle accumulated weight data, and then subtracts the current vehicle accumulated weight data from the total weight data to calculate the remaining weight data of the cargo to be loaded. The data processing module accumulates the first vehicle counting data The method comprises the following steps: calculating the total number of loaded vehicles, dividing the current vehicle cumulative weight data by the total number of loaded vehicles to obtain the average vehicle cargo capacity, and the data processing module further calculates the number of vehicles to be allocated according to the remaining weight data of the cargo to be loaded divided by the average vehicle cargo capacity; and a allocation module, which stores vehicle status data and position data, wherein the vehicle status data includes whether the vehicle is in a cargo loading state or a to-be-loaded state. The allocation module receives the number of vehicles to be allocated, determines the driving distance between each vehicle in the to-be-loaded state and the cargo loading place, sorts the vehicles in the to-be-loaded state from small to large according to the driving distance between each vehicle in the to-be-loaded state and the cargo loading place, and sends a allocation instruction to the vehicles in the to-be-loaded state that are ranked first and are consistent with the number of vehicles to be allocated, so that the vehicles in the to-be-loaded state that are ranked first and are consistent with the number of vehicles to be allocated go to the cargo loading place to load the cargo according to the allocation instruction. When a vehicle leaves an exit intersection of a cargo loading site, the present invention detects the weight data of the vehicle through a first weight sensor and generates first vehicle counting data. The data processing module calculates the current vehicle cumulative weight data based on the received weight data of a single vehicle, and calculates the remaining weight data of the cargo to be loaded based on this. The average cargo capacity of the vehicle is then calculated based on the current vehicle cumulative weight data and the total number of vehicles that have been loaded. The number of vehicles to be deployed is calculated in combination with the remaining weight data of the cargo to be loaded and the average cargo capacity of the vehicle. The deployment module then notifies the vehicles that are in the state of waiting to load and are consistent with the number of vehicles to be deployed to load the cargo based on the vehicle status data and position data.Based on the above process, the present invention can automatically monitor the cargo loading process in the cargo loading site, and calculate and update the data of vehicles to be deployed in real time according to the actual loading situation of each vehicle, and deploy the vehicles in the port according to the calculation results, thereby improving the efficiency of cargo loading.

[0017] Other advantages, objectives and features of the present invention will be embodied in part through the following description, and in part will be understood by those skilled in the art through study and practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the structure of the sensor-based monitoring system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The present invention is further described in detail below in conjunction with the accompanying drawings so that those skilled in the art can implement the invention with reference to the description.

[0020] like Figure 1As shown, an embodiment of the present invention provides a sensor-based monitoring system, comprising: a first weight sensor, which is arranged at a first vehicle detection point, and the first vehicle detection point is arranged at an exit intersection of a cargo loading site. When a vehicle leaves the exit intersection of the cargo loading site and passes through the first weight sensor, the first weight sensor detects the weight data of the vehicle and generates a first vehicle counting data; a data processing module, which records the total weight data of the cargo to be loaded in the cargo loading site. Whenever the first weight sensor detects the weight data of a vehicle, the first weight sensor sends the weight data of the vehicle and the first vehicle counting data to the data processing module. The data processing module accumulates the weight data of the received vehicles to obtain the current vehicle accumulated weight data, and then subtracts the current vehicle accumulated weight data from the total weight data to calculate the remaining weight data of the cargo to be loaded. The data processing module processes the first vehicle counting data The method comprises the following steps: accumulating and calculating the total number of loaded vehicles, dividing the current accumulated weight data of the vehicles by the total number of loaded vehicles to obtain the average cargo capacity of the vehicles, and the data processing module further calculating the number of vehicles to be allocated according to the remaining weight data of the cargo to be loaded divided by the average cargo capacity of the vehicles; and an allocation module storing vehicle status data and position data, wherein the vehicle status data includes whether the vehicle is in a cargo loading state or a to-be-loaded state. The allocation module receives the number of vehicles to be allocated, determines the driving distance between each vehicle in the to-be-loaded state and the cargo loading place, sorts the vehicles in the to-be-loaded state from small to large according to the driving distance between each vehicle in the to-be-loaded state and the cargo loading place, and sends allocation instructions to the vehicles in the to-be-loaded state that are ranked first and are consistent with the number of vehicles to be allocated, so that the vehicles in the to-be-loaded state that are ranked first and are consistent with the number of vehicles to be allocated go to the cargo loading place to load the cargo according to the allocation instructions.

[0021] When a vehicle leaves an exit intersection of a cargo loading site, the present invention detects the weight data of the vehicle through a first weight sensor and generates first vehicle counting data. The data processing module calculates the current vehicle cumulative weight data based on the received weight data of a single vehicle, and calculates the remaining weight data of the cargo to be loaded based on this. The average cargo capacity of the vehicle is then calculated based on the current vehicle cumulative weight data and the total number of vehicles that have been loaded. The number of vehicles to be deployed is calculated in combination with the remaining weight data of the cargo to be loaded and the average cargo capacity of the vehicle. The deployment module then notifies the vehicles that are in the state of waiting to load and are consistent with the number of vehicles to be deployed to load the cargo based on the vehicle status data and position data.

[0022] The present invention uses a first weight sensor to weigh and count each vehicle loaded from the cargo loading site. Each weighing means that a vehicle has completed loading, so a first vehicle counting data can be generated. The data processing module accumulates the received first vehicle counting data, and the total number of vehicles that have been loaded can be calculated. In addition, the average vehicle cargo capacity is calculated based on the current vehicle cumulative weight data and the total number of vehicles that have been loaded. That is, the average vehicle cargo capacity is judged according to the actual loading situation, and the remaining weight of the cargo to be loaded is judged based on this, so that the calculated average vehicle cargo capacity can be closer to the actual loading situation, thereby improving the accuracy of the calculation of the number of vehicles to be deployed. Moreover, whenever a vehicle completes loading and leaves the cargo loading site, the first weight sensor will send the weight data of the vehicle and the first vehicle counting data to the data processing module, and the data processing module will calculate the number of vehicles to be deployed once on this basis, that is, as the loading proceeds, the data processing module can update the vehicle data to be deployed at any time, so that the calculated vehicles to be deployed always meet the actual loading needs, thereby ultimately improving the efficiency of vehicle deployment.

[0023] The dispatching module first determines the vehicles that can be loaded according to the status of the vehicles, then calculates the driving distance between the vehicles and the cargo loading site according to the location data of the vehicles, and sorts these vehicles, selecting those that are ranked higher, that is, those that are closer to the cargo loading site, to load the cargo. The above settings can improve the accuracy and efficiency of vehicle dispatching, and ultimately improve the efficiency of cargo loading.

[0024] In summary, based on the above process, the present invention can automatically monitor the cargo loading process in the cargo loading site, and calculate and update the data of vehicles to be deployed in real time according to the actual loading situation of each vehicle, and deploy the vehicles in the port according to the calculation results, thereby improving the efficiency of cargo loading.

[0025] Based on the above process, the present invention can automatically monitor the cargo loading process in the cargo loading site, and calculate and update the data of vehicles to be deployed in real time according to the actual loading situation of each vehicle, and deploy the vehicles in the port according to the calculation results, thereby improving the efficiency of cargo loading.

[0026] In a preferred embodiment, the sensor-based monitoring system further includes a status acquisition device, which is arranged inside the vehicle. The status acquisition device has two status buttons, and the two status buttons respectively correspond to the vehicle being in a loading state and the vehicle being in a waiting state to be loaded with cargo. When either of the two status buttons is touched, the touched status button generates corresponding status data, and the status acquisition device sends the corresponding status data to the deployment module.

[0027] After the vehicle is loaded, the driver can press the button corresponding to the vehicle being in the cargo-loading state, and the state acquisition device sends the state data to the dispatching module, and the dispatching module marks the state of the vehicle as the vehicle being in the cargo-loading state. When the vehicle is in the state of waiting to load cargo, the driver can press the button corresponding to the vehicle being in the state of waiting to load cargo, and the state acquisition device sends the state data to the dispatching module, and the dispatching module marks the state of the vehicle as the vehicle being in the state of waiting to load cargo.

[0028] In a preferred embodiment, the sensor-based monitoring system further includes a first card reader and an identification card, wherein the identification card is arranged inside the vehicle, the first card reader is arranged at the first vehicle detection point, and the identification card stores the identity data of the vehicle. When the vehicle leaves from the exit intersection of the cargo loading site, the first card reader reads the identity data in the identification card and sends the identity data to the deployment module. After receiving the identity data sent by the first card reader, the deployment module sets the state of the vehicle corresponding to the identity data to the vehicle being in a cargo loading state.

[0029] The first card reader is set at the first vehicle detection point, that is, the exit of the cargo loading site. Therefore, when the first card reader can read the identity data of a vehicle by communicating with the identification card of the vehicle, it means that the vehicle has been loaded with cargo and is leaving the cargo loading site. Therefore, the first card reader sends the identity data to the dispatching module, and the dispatching module can determine that the vehicle is in a cargo loading state according to the received identity data.

[0030] In a preferred embodiment, the sensor-based monitoring system further includes a second card reader, which is arranged at a second vehicle detection point, and the second vehicle detection point is arranged at an exit intersection of a cargo unloading site. When the vehicle leaves from the exit intersection of the cargo unloading site, the second card reader reads the identity data in the identification card and sends the identity data to the deployment module. After receiving the identity data sent by the second card reader, the deployment module sets the status of the vehicle corresponding to the identity data to the vehicle being in a state ready to load cargo.

[0031] Furthermore, the second card reader is arranged at the exit of the cargo unloading place. When the second card reader can read the identification card of a vehicle, it indicates that the vehicle has completed unloading and is leaving the cargo unloading place. Therefore, when the second card reader sends the identity data to the dispatching module, the dispatching module directly determines the state of the vehicle as the state to be loaded.

[0032] In a preferred embodiment, the sensor-based monitoring system further includes a positioning device, which is disposed inside the vehicle, and is used to generate position data of the vehicle, and the positioning device sends the position data of the vehicle to the deployment module.

[0033] The positioning device can automatically locate the vehicle, generate position data, and send it to the dispatching module. The dispatching module calculates the driving distance between the vehicle and the cargo loading place based on the position data.

[0034] In a preferred embodiment, the sensor-based monitoring system further includes a second weight sensor, which is arranged at the entrance of the cargo loading site. When the vehicle enters the entrance of the cargo loading site, the second weight sensor detects the vehicle and generates a second vehicle counting data. The second weight sensor sends the second vehicle counting data to the allocation module. Each time the allocation module receives a second vehicle counting data, the number of vehicles to be allocated is subtracted by 1.

[0035] When a vehicle passes through the entrance of the cargo loading site, the vibration generated by the vehicle's movement will be collected by the second weight sensor, and the second weight sensor will generate a second vehicle counting data. Every time the dispatching module receives a second vehicle counting data, it will subtract 1 from the number of vehicles to be dispatched, that is, one of the vehicles to be dispatched has arrived, and the dispatching is completed.

[0036] In a preferred embodiment, the sensor-based monitoring system further comprises a monitoring server, which communicates with the data processing module and sends the total weight data of the cargo to be loaded in the cargo loading site to the data processing module.

[0037] The total weight data of the cargo to be loaded in the cargo loading site may be the data recorded after the cargo arrives at the port, and the data is directly entered into the monitoring server, which then sends the data to the data processing module for calculation by the data processing module.

[0038] In summary, when a vehicle leaves the exit intersection of the cargo loading site, the present invention detects the weight data of the vehicle through the first weight sensor and generates the first vehicle counting data. The data processing module calculates the current vehicle cumulative weight data based on the received weight data of the single vehicle, and calculates the remaining weight data of the cargo to be loaded based on this. Then, the average cargo load of the vehicle is calculated based on the current vehicle cumulative weight data and the total number of vehicles that have been loaded. The number of vehicles to be deployed is calculated in combination with the remaining weight data of the cargo to be loaded and the average cargo load of the vehicle. The deployment module notifies the vehicles that are consistent with the number of vehicles to be deployed from all the vehicles in the state of waiting to load to load the cargo based on the status data and position data of the vehicle. Based on the above process, the present invention can automatically monitor the cargo loading process in the cargo loading site, and calculate and update the data of the vehicles to be deployed in real time according to the actual loading situation of each vehicle, and deploy the vehicles in the port according to the calculation results, thereby improving the efficiency of cargo loading.

[0039] Although the embodiments of the present invention have been disclosed above, they are not limited to the applications listed in the specification and the embodiments. It can be fully applied to various fields suitable for the present invention. For those familiar with the art, additional modifications can be easily realized. Therefore, without departing from the general concept defined by the claims and equivalent scope, the present invention is not limited to the specific details and the illustrations shown and described here.

Claims

1. A sensor-based monitoring system, characterized in that: include: A first weight sensor is provided at a first vehicle detection point, wherein the first vehicle detection point is provided at an exit intersection of the cargo loading site, and when a vehicle leaves the exit intersection of the cargo loading site and passes through the first weight sensor, the first weight sensor detects weight data of the vehicle and generates a first vehicle counting data; a data processing module, which records the total weight data of the goods to be loaded in the cargo loading place; whenever the first weight sensor detects the weight data of a vehicle, the first weight sensor sends the weight data of the vehicle and the first vehicle counting data to the data processing module; the data processing module accumulates the weight data of the vehicles that have been received to obtain the current vehicle cumulative weight data, and then subtracts the current vehicle cumulative weight data from the total weight data to calculate the remaining weight data of the goods to be loaded; the data processing module accumulates the first vehicle counting data to calculate the total number of vehicles that have been loaded, and uses the current vehicle cumulative weight data divided by the total number of vehicles that have been loaded to obtain the average vehicle cargo capacity; the data processing module then calculates the number of vehicles to be deployed according to the remaining weight data of the goods to be loaded divided by the average vehicle cargo capacity; A dispatching module stores status data and location data of vehicles, wherein the status data of the vehicles includes whether the vehicles are in a loading state or a waiting-to-load state. The dispatching module receives the number of vehicles to be dispatched, determines the driving distance between each vehicle in the waiting-to-load state and the cargo loading place, sorts the vehicles in the waiting-to-load state from small to large according to the driving distance between each vehicle in the waiting-to-load state and the cargo loading place, sends dispatching instructions to the vehicles in the waiting-to-load state that are at the front of the sort and are consistent with the number of vehicles to be dispatched, so that the vehicles in the waiting-to-load state that are at the front of the sort and are consistent with the number of vehicles to be dispatched go to the cargo loading place to load cargo according to the dispatching instructions.

2. The sensor-based monitoring system of claim 1, wherein: It also includes a status acquisition device, which is arranged inside the vehicle. The status acquisition device has two status buttons, and the two status buttons respectively correspond to the vehicle being in a loading state and the vehicle being in a waiting state to be loaded with cargo. When either of the two status buttons is touched, the touched status button generates corresponding status data, and the status acquisition device sends the corresponding status data to the allocation module.

3. The sensor-based monitoring system of claim 1, wherein: It also includes a first card reader and an identification card, the identification card is arranged inside the vehicle, the first card reader is arranged at the first vehicle detection point, the identification card stores the identity data of the vehicle, when the vehicle leaves from the exit intersection of the cargo loading place, the first card reader reads the identity data in the identification card, and sends the identity data to the deployment module, after receiving the identity data sent by the first card reader, the deployment module sets the state of the vehicle corresponding to the identity data to the vehicle being in a cargo loading state.

4. The sensor-based monitoring system of claim 3, wherein: It also includes a second card reader, which is arranged at a second vehicle detection point. The second vehicle detection point is arranged at an exit intersection of the cargo unloading site. When the vehicle leaves from the exit intersection of the cargo unloading site, the second card reader reads the identity data in the identification card and sends the identity data to the deployment module. After receiving the identity data sent by the second card reader, the deployment module sets the state of the vehicle corresponding to the identity data to the vehicle being in a state ready to load cargo.

5. The sensor-based monitoring system of claim 1, wherein: It also includes a positioning device, which is arranged inside the vehicle and is used to generate position data of the vehicle. The positioning device sends the position data of the vehicle to the deployment module.

6. The sensor-based monitoring system of claim 1, wherein: It also includes a second weight sensor, which is arranged at the entrance of the cargo loading place. When the vehicle enters the entrance of the cargo loading place, the second weight sensor detects the vehicle and generates a second vehicle counting data. The second weight sensor sends the second vehicle counting data to the allocation module. Each time the allocation module receives a second vehicle counting data, the number of vehicles to be allocated is subtracted by 1.

7. The sensor-based monitoring system of claim 1, wherein: It also includes a monitoring server, which communicates with the data processing module and sends the total weight data of the goods to be loaded in the goods loading place to the data processing module.

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