Intelligent monitoring control method for transportation state of special equipment and computer equipment

Abstract

The invention discloses a special equipment transportation state intelligent monitoring control method and computer equipment, and the method comprises the steps: S1, building a special equipment database, and recording parameters which need to be set during the transportation of various types of special equipment; s2, parameters needing to be set during transportation of the special equipment and state data after loading of the special equipment are uploaded to a transportation dispatching center; s3, acquiring in-compartment environment data and out-compartment environment data of the transportation compartment, and uploading the data to a transportation dispatching center; s4, automatically generating a logistics transportation scheme; s5, monitoring in-carriage environment data and out-carriage environment data of the transportation carriage in real time, comparing the data with a set threshold value, and taking corresponding protection measures; and S6, obtaining logistics data of the transportation, and providing a logistics transportation scheme for the next transportation of the same type of special equipment. Based on the wireless internet of things technology, the transportation cost is reduced and the distribution efficiency is improved while the transportation safety and stability of the special equipment are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics control, and in particular to an intelligent monitoring and control method for the transportation status of special equipment and computer equipment. Background Art

[0002] With the advancement of science and technology, special equipment such as aerospace and medical equipment are gradually updated, which also puts forward new requirements for logistics and distribution. It is required to test the internal and external environment of the carriage during transportation, monitor the status of special equipment, and ensure the safety and stability of the transportation status of special equipment.

[0003] Before transporting special equipment, the internal and external environmental parameters of the transport compartment will be set according to the equipment regulations. After the transportation is completed, it is also necessary to test whether the equipment performance indicators are affected by the transportation. Therefore, a large amount of special equipment transportation data of various types will be generated during the entire transportation process. At present, a large amount of data generated during the transportation of special equipment is stored in some form in the on-board medium, which is not convenient for the transportation dispatch center to grasp the transportation status in real time; in addition, when the internal and external environment of the transport compartment or the status of the transportation equipment changes, the existing transportation monitoring system cannot make and automatically correct the transportation environment in time; at the same time, the existing transportation environment monitoring system is factory configured, and if it is installed later, it will cause a certain degree of damage to the existing transport compartment. Summary of the invention

[0004] The present invention provides an intelligent monitoring and control method and computer equipment for special equipment transportation status that realizes intelligent monitoring and management of the internal and external environment of the special equipment transportation compartment and the status of the cargo, which can solve at least one of the above-mentioned technical problems.

[0005] In order to solve the above technical problems, the present invention adopts the following technical solutions:

[0006] A method for intelligently monitoring and controlling the transportation status of special equipment comprises the following steps:

[0007] S1. Establish a special equipment database to record the parameters that need to be set when transporting various types of special equipment and determine the logistics transportation routes;

[0008] S2. Loading special equipment: Upload the parameters that need to be set when transporting special equipment and the status data of the special equipment after loading to the special equipment transportation dispatch center;

[0009] S3, obtaining the internal environment data and the external environment data of the transport carriage, and uploading them to the special equipment transportation dispatching center respectively;

[0010] S4. Automatically generate a logistics transportation plan based on special equipment information, transportation time, destination, transit area, and transit road information;

[0011] S5. Real-time monitoring of the internal and external environmental data of the transport compartment, as well as the status data of special equipment, records various data and sends them to the IoT gateway, and compares them with the set thresholds to take corresponding protective measures;

[0012] S6. Obtain the logistics data of this transportation, train the logistics transportation plan model, add the special equipment training model operator, and provide a functional logistics transportation plan for the next transportation of the same type of special equipment.

[0013] Furthermore, in S1, the special equipment database includes: basic information of special equipment, transportation restrictions of special equipment, transportation conditions of special equipment, transportation responsibilities of special equipment, transportation documents of special equipment, on-site operation requirements of special equipment and handling measures for special equipment under abnormal circumstances.

[0014] Furthermore, in S1 or S2, the parameters that need to be set during the transportation of special equipment include: logistics transportation destination, ambient temperature, ambient humidity, atmospheric pressure, oxygen concentration, smoke concentration, vibration acceleration value, carriage door opening and closing conditions and the number of carriage door opening and closing times.

[0015] Furthermore, in S2, the status data of the special equipment after loading includes: equipment code, equipment batch number, equipment weight information, equipment temperature, equipment humidity, environmental pressure value, vibration impact value, equipment placement position, equipment tilt angle, equipment stacking layer number and equipment loading time.

[0016] Further, in said S3, the cabin environment data includes: cabin environment temperature / humidity, cabin atmospheric pressure, cabin oxygen concentration, cabin smoke concentration, cabin video monitoring data, vibration acceleration value of the transport cabin, cabin door opening and closing status of the transport cabin, movement speed and positioning information of the transport cabin;

[0017] The external environment data includes: external environment temperature / humidity, transportation road conditions, surrounding vehicle information during transportation, and the surrounding environment and people in the vehicle when parked.

[0018] Furthermore, the information or data in S1, S2 and S3 are all sent to the special equipment transportation dispatch center through the wireless Internet of Things to perform visualization processing of the information or data.

[0019] Furthermore, in S4, the specific method of automatically generating a logistics transportation plan is:

[0020] S41: calling the special equipment database generated in S1, and comparing whether the data of the special equipment currently being transported already exists in the special equipment database;

[0021] S42: If the data of the special equipment already exists, directly call the logistics transportation plan corresponding to the special equipment data;

[0022] S43: If the data of the special equipment does not exist or the data has changed, the data of the special equipment is newly created, and the optimal logistics transportation plan is generated based on the neural network algorithm according to the parameters that need to be set when the special equipment is transported, the status data after loading, the internal and external environmental data of the transport compartment, the total time required for transportation, the mode of transportation, the destination, the route area and the route road information.

[0023] Furthermore, in S5, when any monitored data exceeds a preset threshold, the control device in the transport carriage is driven to keep the transport setting value within a qualified range, and at the same time, the latest data is recorded and sent to the IoT gateway;

[0024] When any monitored data exceeds the alarm threshold, it will be uploaded to the IoT gateway in real time, and trigger an alarm signal to the cab and special equipment transportation dispatch center. At the same time, corresponding protective and corrective measures will be executed according to the type of alarm signal.

[0025] A computer device includes a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the above-mentioned intelligent monitoring and control method for the transportation status of special equipment.

[0026] The beneficial effects of the present invention are embodied in:

[0027] 1. In order to better ensure that special equipment is not affected by transportation, the present invention is based on wireless Internet of Things technology, collects and processes the data generated by transportation through the Internet of Things platform, generates corresponding data models, and provides intelligent logistics and transportation solutions for various types of special equipment. While ensuring the safety and stability of special equipment transportation, it reduces transportation costs and improves distribution efficiency.

[0028] 2. During the transportation process, through real-time monitoring by multiple sensors and synchronous video data recording, the internal and external environmental data of the transport compartment and the status data of the transportation equipment are monitored in real time. When an abnormal situation occurs, a solution can be automatically generated, and measures to eliminate the alarm are executed according to the solution. At the same time, the solution is recommended to the driver to make corresponding human decisions to ensure the safety and stable performance of special equipment during transportation.

[0029] 3. Adding intelligent and systematic monitoring equipment to existing transport carriages without causing damage to the existing transport carriages will reduce economic cost losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The drawings described herein are used to provide further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute improper limitations on the present application.

[0031] Figure 1 It is a schematic diagram of the overall structure of an embodiment of the present invention.

[0032] Figure 2 It is a structural block diagram of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0033] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. In the absence of conflict, the embodiments in this application and the features in the embodiments can be combined with each other. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0034] See also Figure 1 The embodiment of the present invention provides an intelligent monitoring and control method for the transportation status of special equipment, comprising the following steps:

[0035] S1. Establish a special equipment database to record the parameters that need to be set when transporting various types of special equipment and determine the logistics transportation routes;

[0036] S2. Loading special equipment: Upload the parameters that need to be set when transporting special equipment and the status data of the special equipment after loading to the special equipment transportation dispatch center;

[0037] S3, obtaining the internal environment data and the external environment data of the transport carriage, and uploading them to the special equipment transportation dispatching center respectively;

[0038] S4. Automatically generate a logistics transportation plan based on special equipment information, transportation time, destination, transit area, and transit road information;

[0039] S5. Real-time monitoring of the internal and external environmental data of the transport compartment, as well as the status data of special equipment, records various data and sends them to the IoT gateway, and compares them with the set thresholds to take corresponding protective measures;

[0040] S6. Obtain the logistics data of this transportation, train the logistics transportation plan model, add the special equipment training model operator, and provide a functional logistics transportation plan for the next transportation of the same type of special equipment.

[0041] The present invention designs a special equipment transportation system based on IoT data, uses a big data processing algorithm to process the data generated during transportation, and generates a logistics transportation plan model based on the data, so as to provide the optimal transportation plan for re-transportation, improve the safety of special equipment during transportation, and avoid affecting equipment performance. At the same time, when abnormal situations occur in transportation, they can be reported in time, and corresponding solutions can be made and executed according to the alarm type.

[0042] In this embodiment, in S1, the special equipment database includes: basic information of special equipment, transportation restrictions of special equipment, transportation conditions of special equipment, transportation responsibilities of special equipment, transportation documents of special equipment, on-site operation requirements of special equipment and handling measures for special equipment under abnormal circumstances.

[0043] in:

[0044] The basic information of special equipment includes: equipment name, equipment code, equipment value, equipment appearance features, equipment packaging method;

[0045] The transportation restrictions of special equipment include: recording the size and weight of the equipment to confirm whether it exceeds the maximum carrying capacity of the transportation vehicle, such as the height and width of the carriage;

[0046] The transportation conditions of special equipment include: special requirements during transportation, such as shockproof, moisture-proof, detour, etc.;

[0047] The transportation responsibilities of special equipment include: clarifying the scope of responsibility of each party during the transportation process, such as the responsibility for damage to the goods;

[0048] The transportation documents for special equipment include: ensuring that all necessary transportation documents are complete, such as delivery notes, gate bills, weighing bills, customs declaration materials, etc.;

[0049] On-site operation requirements for special equipment include: when loading and unloading goods, on-site personnel need to supervise to ensure that the goods meet the requirements for safe transportation;

[0050] The handling measures for special equipment under abnormal circumstances include: For any abnormal situation that occurs during transportation, such as fire, rollover, etc., an alarm should be issued in time and handled immediately.

[0051] In this embodiment, in S1 or S2, the parameters that need to be set during the transportation of special equipment include: logistics transportation destination, ambient temperature, ambient humidity, atmospheric pressure, oxygen concentration, smoke concentration, vibration acceleration value, car door opening and closing conditions and the number of times the car door is opened and closed.

[0052] In this embodiment, in S2, the status data of the special equipment after loading includes: equipment code, equipment batch number, equipment weight information, equipment temperature, equipment humidity, ambient pressure value, vibration impact value, equipment placement position, equipment tilt angle, number of equipment stacking layers and equipment loading time.

[0053] In this embodiment, in S3, the cabin environment data includes: cabin environment temperature / humidity, cabin atmospheric pressure, cabin oxygen concentration, cabin smoke concentration, cabin video monitoring data, vibration acceleration value of the transport cabin, cabin door opening and closing status of the transport cabin, movement speed and positioning information of the transport cabin;

[0054] The external environment data includes: external environment temperature / humidity, transportation road conditions, surrounding vehicle information during transportation, and the surrounding environment and people in the vehicle when parked.

[0055] in:

[0056] If there is no special requirement for the cabin ambient temperature, 25℃ is the best;

[0057] If there is no special requirement for the humidity in the cabin, 50%RH or less is the best.

[0058] For the smoke concentration in the compartment, when the lower explosion limit of the gas or vapor in the compartment is greater than or equal to 4%, the measured concentration should not be greater than 0.5% (volume fraction); when the lower explosion limit of the gas or vapor in the compartment is less than 4%, the measured concentration should not be greater than 0.2% (volume fraction);

[0059] For the vibration acceleration value of the transport carriage, the vibration condition of the transport carriage was monitored twice, and the difference in vibration acceleration of the X-axis did not exceed 30mg, the difference in vibration acceleration of the Y-axis did not exceed 50mg, and the difference in vibration acceleration of the Z-axis did not exceed 600mg;

[0060] For the carriage door opening and closing conditions of the transport carriage, except for the necessary door opening conditions, all other door opening conditions need to be alarmed and recorded;

[0061] The movement speed and positioning information of the transport carriage must be within the specified range.

[0062] In this embodiment, the information or data in S1, S2 and S3 are all sent to the special equipment transportation dispatch center through the wireless Internet of Things to perform visualization processing of the information or data.

[0063] In this embodiment, in S4, the specific method of automatically generating a logistics transportation plan is:

[0064] S41: calling the special equipment database generated in S1, and comparing whether the data of the special equipment currently being transported already exists in the special equipment database;

[0065] S42: If the data of the special equipment already exists, directly call the logistics transportation plan corresponding to the special equipment data;

[0066] S43: If the data of the special equipment does not exist or the data has changed, the data of the special equipment is newly created, and the optimal logistics transportation plan is generated based on the neural network algorithm according to the parameters that need to be set when the special equipment is transported, the status data after loading, the internal and external environmental data of the transport compartment, the total time required for transportation, the mode of transportation, the destination, the route area and the route road information.

[0067] When the data of the currently transported special equipment does not exist in the special equipment database, first compare and find similar data, and generate a new logistics transportation plan based on the data;

[0068] If there is no similar data, a human intervention factor is added based on S43 to generate a logistics transportation plan with human experience factors.

[0069] In this embodiment, in S5, when any monitored data exceeds a preset threshold, the control device in the transport carriage is driven to keep the transport setting value within a qualified range, and at the same time, the latest data is recorded and sent to the IoT gateway;

[0070] When any monitored data exceeds the alarm threshold, it will be uploaded to the IoT gateway in real time, and trigger an alarm signal to the cab and special equipment transportation dispatch center. At the same time, corresponding protective and corrective measures will be executed according to the type of alarm signal.

[0071] The present invention adopts multi-sensor fusion technology, and the decision-making process for real-time monitoring of various data in S5 is as follows:

[0072] When the smoke sensor detects that the smoke concentration is higher than the set threshold, the temperature sensor detects the rise in ambient temperature, preliminarily determines that a fire has occurred, and immediately reports it to the cab, transmits the video data in the transport compartment, and simultaneously sends an alarm to the special equipment transportation dispatch center. At the same time, it calls and checks the parameters that need to be set when transporting special equipment, intelligently determines whether to use water, dry powder or carbon dioxide gas to extinguish the fire, and executes corresponding measures to eliminate the alarm;

[0073] When the air humidity is greater than the set threshold, it is determined that there is water leakage, water immersion or a humid environment in the transport compartment;

[0074] When the monitoring data of the vibration sensor exceeds the set threshold, it is determined that the transportation road surface does not meet the transportation conditions of the special equipment. The transportation personnel are reminded to change the delivery route through the IoT gateway and synchronized to the special equipment transportation dispatch center;

[0075] When the data of the vibration sensor and tilt angle sensor of the special equipment detected simultaneously exceeds the set threshold, it is preliminarily judged that the transport compartment has overturned, and the information is immediately reported to the cab, and an alarm is simultaneously sent to the special equipment transport dispatch center to take rescue measures;

[0076] When it is monitored that the movement speed and positioning information of the transport carriage exceed the specified range, an alarm signal will be sent to the cab and the special equipment transport dispatch center. If the driver does not take corresponding measures, the alarm signal will be sent to the relevant departments for cooperation and assistance in further confirmation.

[0077] An embodiment of the present invention further provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the processor executes the steps of the above method.

[0078] See also Figure 2 An embodiment of the present invention further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the above method.

[0079] An embodiment of the present invention also provides a computer program product including instructions, which, when executed on a computer, enables the computer to execute any of the intelligent monitoring and control methods for the transportation status of special equipment in the above embodiments.

[0080] It is understandable that the system, device and storage medium provided in the embodiments of the present invention correspond to the method provided in the embodiments of the present invention, and the explanation, examples and beneficial effects of the relevant contents can refer to the corresponding parts in the above methods.

[0081] It should be noted that those skilled in the art can understand that all or part of the steps implemented in the embodiments of the present invention can be implemented in whole or in part by software, hardware, firmware or any combination thereof.

[0082] When hardware is used for implementation, such as control equipment, monitoring equipment, sensors, etc., it can be implemented in whole or in part in the form of purchasing existing technology or refitting existing technology. When software is used for implementation, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions can be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media integrations. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a DVD), or a semiconductor medium (eg, a solid state disk (SSD)).

[0083] In summary, the present invention is designed based on the intelligent monitoring and control system of the internal and external environment and cargo status of the special equipment transport compartment, sets the transport environment monitoring threshold in combination with the characteristics of the transported special equipment, and generates the optimal transport plan to ensure the safety of the equipment, enable it to be delivered to the destination quickly, and save transportation costs;

[0084] The large amount of data generated by each transportation is directly uploaded to the dispatching center. Combined with the existing database, the big data processing ant colony optimization algorithm is used to generate a special equipment transportation model to provide a better solution for each special equipment transportation.

[0085] It should be understood that the examples and implementation modes described herein are for illustrative purposes only and are not intended to limit the present invention. Those skilled in the art may make various modifications or changes based on the examples and implementation modes. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for intelligent monitoring and control of the transportation status of special equipment, characterized in that: The following steps are involved: S1. Establish a special equipment database to record the parameters that need to be set when transporting various types of special equipment and determine the logistics transportation routes; S2. Loading special equipment: Upload the parameters that need to be set when transporting special equipment and the status data of the special equipment after loading to the special equipment transportation dispatch center; S3, obtaining the internal environment data and the external environment data of the transport carriage, and uploading them to the special equipment transportation dispatching center respectively; S4. Automatically generate a logistics transportation plan based on special equipment information, transportation time, destination, transit area, and transit road information; S5. Real-time monitoring of the internal and external environmental data of the transport compartment, as well as the status data of special equipment, records various data and sends them to the IoT gateway, and compares them with the set thresholds to take corresponding protective measures; S6. Obtain the logistics data of this transportation, train the logistics transportation plan model, add the special equipment training model operator, and provide a functional logistics transportation plan for the next transportation of the same type of special equipment.

2. The intelligent monitoring and control method for special equipment transportation status according to claim 1, characterized in that: In S1, the special equipment database includes: basic information of special equipment, transportation restrictions of special equipment, transportation conditions of special equipment, transportation responsibilities of special equipment, transportation documents of special equipment, on-site operation requirements of special equipment and handling measures for special equipment under abnormal circumstances.

3. The intelligent monitoring and control method for special equipment transportation status according to claim 1, characterized in that: In S1 or S2, the parameters that need to be set when transporting special equipment include: logistics transportation destination, ambient temperature, ambient humidity, atmospheric pressure, oxygen concentration, smoke concentration, vibration acceleration value, compartment door opening and closing conditions and the number of compartment door opening and closing times.

4. The intelligent monitoring and control method for special equipment transportation status according to claim 1, characterized in that: In S2, the status data of the special equipment after loading includes: equipment code, equipment batch number, equipment weight information, equipment temperature, equipment humidity, environmental pressure value, vibration impact value, equipment placement position, equipment tilt angle, equipment stacking layer number and equipment loading time.

5. The intelligent monitoring and control method for special equipment transportation status according to claim 1, characterized in that: In S3, the cabin environment data includes: cabin environment temperature / humidity, cabin atmospheric pressure, cabin oxygen concentration, cabin smoke concentration, cabin video monitoring data, vibration acceleration value of the transport cabin, cabin door opening and closing status of the transport cabin, movement speed and positioning information of the transport cabin; The external environment data includes: external environment temperature / humidity, transportation road conditions, surrounding vehicle information during transportation, and the surrounding environment and people in the vehicle when parked.

6. The intelligent monitoring and control method for special equipment transportation status according to claim 1, characterized in that: The information or data in S1, S2 and S3 are all sent to the special equipment transportation dispatch center through the wireless Internet of Things for visualization of the information or data.

7. The intelligent monitoring and control method for special equipment transportation status according to claim 1, characterized in that: In S4, the specific method of automatically generating a logistics transportation plan is: S41: calling the special equipment database generated in S1, and comparing whether the data of the special equipment currently being transported already exists in the special equipment database; S42: If the data of the special equipment already exists, directly call the logistics transportation plan corresponding to the special equipment data; S43: If the data of the special equipment does not exist or the data has changed, the data of the special equipment is newly created, and the optimal logistics transportation plan is generated based on the neural network algorithm according to the parameters that need to be set when the special equipment is transported, the status data after loading, the environmental data inside and outside the transport compartment, the total time required for transportation, the mode of transportation, the destination, the route area and the route road information.

8. The intelligent monitoring and control method for special equipment transportation status according to claim 1, characterized in that: In S5, when any monitored data exceeds a preset threshold, the control device in the transport carriage is driven to keep the transport setting value within a qualified range, and at the same time, the latest data is recorded and sent to the IoT gateway; When any monitored data exceeds the alarm threshold, it will be uploaded to the IoT gateway in real time, and trigger an alarm signal to the cab and special equipment transportation dispatch center. At the same time, corresponding protective and corrective measures will be executed according to the type of alarm signal.

9. A computer device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method according to any one of claims 1 to 8.

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