Equipment intelligent transportation data management system and method based on Internet of Things

Abstract

The invention discloses an equipment intelligent transportation data management system and method based on the Internet of Things, and belongs to the technical field of equipment intelligent transportation. The method comprises the steps that S10, based on the obtained single-time maximum cargo transportation capacity of the suspension bridge equipment, the obtained maximum transportation speed of the suspension bridge equipment and the obtained delay time of the suspension bridge equipment, the maximum inertia force borne by the suspension bridge equipment is determined, and the damage degree of transported cargos after transportation is completed is predicted in combination with the elastic coefficient of the transported cargos; s20, the transportation speed of the suspension bridge equipment is selectively adjusted; and S30, the preset berthing position of the ship is adjusted. The method prevents the suspension bridge equipment from causing excessive damage to the transported goods at the set transportation speed, further improves the transportation quality of the equipment for transporting the goods, considers the influence of the signal delay time on the working time of the suspension bridge equipment, and further improves the precision of predicting the intra-field horizontal transportation capacity.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent transportation of equipment, in particular to an intelligent transportation data management system and method of equipment based on Internet of Things. BACKGROUND

[0002] Ocean transportation is the most important transportation mode in international logistics, more than 2 / 3 of the total international trade volume, about 90% of the total import and export freight volume in China is by sea transportation, sea transportation refers to a way of using ships to transport goods between ports in different countries and regions through sea routes.

[0003] The port is a comprehensive transportation hub and a gathering point for water transportation, but the existing port relies heavily on manual near-end operation. The crane bridge unloads the cargo according to the flow direction of the cargo, handles the container, transports horizontally in the yard, and loads and unloads the cargo in the yard. Since the crane bridge needs to be operated by a driver in the driver's room at a height of about 50 meters, long-term high-altitude operation is easy to fatigue, and there is a safety hazard. In addition, each crane bridge needs to be equipped with multiple staff, and the crane bridge cannot be intelligentized. When the crane bridge is intelligentized, there is a signal delay, which causes damage to the transported goods during unloading, and during loading and unloading, one person can only control one crane bridge, and the movement trajectory of the ship cannot be adjusted according to the loading and unloading conditions, resulting in weak horizontal transportation capacity in the yard, thereby reducing the transportation capacity of the port. SUMMARY

[0004] The present application aims to provide an intelligent transportation data management system and method of equipment based on Internet of Things to solve the problems in the background.

[0005] In order to solve the above technical problems, the present application provides the following technical scheme: an intelligent transportation data management method of equipment based on Internet of Things, the method comprising: S10: based on the ship preset docking position and the ship preset docking time obtained by the Internet of Things, obtaining the single maximum transportation cargo capacity of the corresponding crane bridge equipment, the maximum transportation speed of the crane bridge equipment and the delay time of the crane bridge equipment, determining the maximum inertia force received by the crane bridge equipment based on the obtained information, and predicting the damage degree of the transported goods after transportation based on the elastic coefficient of the transported goods; S20: based on the damage degree of the transported goods after transportation predicted in S10, determining the quality data of the transported goods after transportation, and selectively adjusting the transportation speed of the crane bridge equipment based on the determination result; S30: based on the adjusted transport speed of the drawbridge equipment in S20, in combination with the delay time of the drawbridge equipment and the preset stop time of the drawbridge equipment, the working time of the drawbridge equipment is determined, the in-site horizontal transport capacity of the drawbridge equipment is predicted within the working time, and based on the prediction result, the preset stop position of the ship is adjusted.

[0006] Further, the S10 comprises: S101: according to the preset stop position of the ship and the preset stop time of the ship, the corresponding drawbridge equipment is determined, based on the determination result, the single maximum transport cargo capacity of the drawbridge equipment, the maximum transport speed of the drawbridge equipment and the delay time of the drawbridge equipment are obtained; S102: according to the delay time of the drawbridge equipment and the single maximum transport cargo capacity of the drawbridge equipment obtained in S101, the maximum inertia force of the drawbridge equipment is calculated, and the specific calculation formula F is: ; Wherein, m represents the single maximum transport cargo capacity of the drawbridge equipment, V represents the maximum transport speed of the drawbridge equipment, t 延迟 represents the delay time of the drawbridge equipment receiving the deceleration signal, s represents the distance value from the deceleration start position of the drawbridge equipment to the cargo placement area position, and F represents the maximum inertia force received by the drawbridge equipment; S103: according to the maximum inertia force received by the drawbridge equipment calculated in S102, in combination with the elastic coefficient of the transported cargo, the damage degree of the transported cargo after the completion of transportation is predicted, and the specific prediction formula W is: When F-kx>0: ; When F-kx≤0: ; Wherein, k represents the stiffness coefficient of the transported cargo, x represents the deformation amount of the transported cargo corresponding to the force F, a represents the extrusion area of the transported cargo, A represents the total area of the transported cargo, β represents the damage area of the transported cargo corresponding to the unit stress, W represents the predicted damage degree of the transported cargo after the completion of transportation, represents the extrusion stress received by the transported cargo, and W' represents the initial damage degree of the transported cargo.

[0007] Further, the S20 comprises: S201: according to the damage degree of the transported cargo after the completion of transportation predicted in S103, the quality data of the transported cargo after the completion of transportation is determined, the determined quality data is compared with the standard quality data, and according to the comparison result, it is selected whether to adjust the transport speed of the drawbridge equipment; S202: the specific method for adjusting the transport speed of the drawbridge device is: The difference between the standard quality data and the quality data determined in S103 is calculated. If the difference ≤ 0, the transport speed of the drawbridge device does not need to be adjusted. If the difference > 0, the transport speed of the drawbridge device needs to be adjusted. The standard extrusion stress suffered by the transported goods is determined according to the difference, and the standard inertial force suffered by the drawbridge device is determined in combination with the elastic deformation amount of the transported goods under the action of the inertial force. The standard transport speed of the drawbridge device is determined according to the determined standard inertial force. The transport speed of the drawbridge device is adjusted according to the determined standard transport speed.

[0008] Further, the S30 comprises: S301: the number of containers of the transported goods in the ship is obtained, and the total transport times of the drawbridge device are determined based on the obtained value. The number of containers = the total transport times of the drawbridge device. S302: the working time length of the drawbridge device is determined according to the total transport times determined in S301, in combination with the adjusted transport speed of the drawbridge device and the delay time of the drawbridge device. The specific determination formula T is: ; Wherein, R represents the total transport times of the drawbridge device, S represents the horizontal distance of the drawbridge device from the goods placement area to the ship berthing position, S1 represents the longitudinal movement distance of the drawbridge device in the goods placement area, S2 represents the longitudinal movement distance of the drawbridge device in the ship berthing position, represents the adjusted transport speed of the drawbridge device, h represents the horizontal distance of the drawbridge device from the ship berthing position when the ship is berthed at the position of the drawbridge device, X represents the braking distance of the drawbridge device, and T represents the working time length of the drawbridge device. S303: the working time of the drawbridge device is determined based on the working time length determined in S302, in combination with the preset berthing time of the drawbridge device, and the in-site horizontal transport capacity is predicted within the working time. S304: the in-site horizontal transport capacity within the working time predicted in S303 is compared with the standard in-site horizontal transport capacity. According to the comparison result, it is selected whether to adjust the preset berthing time of the ship. If adjustment is needed, the waiting time of the goods transport tool corresponding to the position of the drawbridge device is determined according to T´≤ calculation result < T´´, the in-site horizontal transport capacity is predicted within the working time based on the determined waiting time, and the position of the drawbridge device corresponding to the strongest predicted in-site transport capacity is marked as the adjustment position of the ship.

[0009] Further, the specific method for predicting the in-site horizontal transportation capacity within the working time in S303 is: acquiring the working condition of other bridge equipment within the working time, if the other bridge equipment is working, acquiring the position information of the working bridge equipment and the horizontal transportation time point of the cargo, the horizontal transportation time point of the cargo refers to the time when the cargo transportation tool starts to move after the bridge equipment places the cargo on the cargo transportation tool; According to the position information of the other bridge equipment and the horizontal transportation time point of the cargo, the time point when the cargo transportation tool parked in the cargo placement area corresponding to the other bridge equipment reaches the cargo placement area corresponding to the preset berthing position of the ship is calculated, and the calculation result is compared with the horizontal transportation time point of the cargo corresponding to the preset berthing position of the ship. If T´≤ calculation result < T´´, it indicates that the cargo transportation tool corresponding to the preset berthing position of the ship hinders the movement of the cargo transportation tool corresponding to the other bridge equipment. At this time, the waiting time of the cargo transportation tool corresponding to the other bridge equipment is calculated, wherein T´´ represents the horizontal transportation time point of the cargo corresponding to the preset berthing position of the ship, and T´ represents the time point when the cargo transportation tool corresponding to the preset berthing position of the ship reaches the corresponding cargo placement area; According to the calculated waiting time of the cargo transportation tool corresponding to the other bridge equipment, the waiting time The ratio between R and the length of the working time is calculated to obtain the in-site horizontal transportation capacity within the working time.

[0010] An intelligent equipment transportation data management system based on the Internet of Things, the system comprises a transportation cargo damage degree prediction module, an equipment transportation speed adjustment module and a ship berthing position adjustment module; The transportation cargo damage degree prediction module is used to determine the maximum inertial force received by the bridge equipment according to the single maximum transportation cargo capacity of the bridge equipment, the maximum transportation speed of the bridge equipment and the delay time of the bridge equipment, and to predict the damage degree of the transportation cargo after transportation is completed in combination with the elastic coefficient of the transportation cargo, and the prediction result is transmitted to the equipment transportation speed adjustment module; The equipment transportation speed adjustment module is used to receive the damage degree of the transportation cargo after transportation is completed transmitted by the transportation cargo damage degree prediction module, determine the quality data of the transportation cargo after transportation is completed based on the received information, adjust the transportation speed of the bridge equipment based on the determination result, and transmit the adjustment result to the ship berthing position adjustment module; The ship berthing position adjusting module is configured to receive the hoist bridge equipment transportation speed adjustment result transmitted by the equipment transportation speed adjusting module, determine the working time of the hoist bridge equipment based on the received information, in combination with the delay time of the hoist bridge equipment and the preset berthing time of the hoist bridge equipment, predict the in-site horizontal transportation capacity of the hoist bridge equipment within the working time, and adjust the preset berthing position of the ship based on the prediction result.

[0011] Further, the transportation goods damage degree prediction module comprises an equipment transportation information acquisition unit, an inertial force calculation unit and a transportation goods damage degree prediction unit. The equipment transportation information acquisition unit determines the corresponding hoist bridge equipment according to the preset berthing position and the preset berthing time of the ship, acquires the single maximum transportation goods capacity of the hoist bridge equipment, the maximum transportation speed of the hoist bridge equipment and the delay time of the hoist bridge equipment based on the determination result, and transmits the acquired information to the inertial force calculation unit. The inertial force calculation unit receives the acquired information transmitted by the equipment transportation information acquisition unit, constructs a mathematical model based on the received information calculates the maximum inertial force of the hoist bridge equipment, and transmits the calculation result to the transportation goods damage degree prediction unit. The transportation goods damage degree prediction unit receives the calculation result transmitted by the inertial force calculation unit, determines the elastic force suffered by the transportation goods under the action of the inertial force according to the corresponding elastic coefficient of the transportation goods, calculates the difference between the inertial force and the elastic force suffered by the transportation goods, calculates the extrusion stress suffered by the transportation goods if the difference is greater than 0, determines the damage area of the transportation goods under the action of the extrusion stress in combination with the corresponding damage area of the transportation goods suffered by the unit stress, calculates the ratio between the determined damage area and the total area of the transportation goods, calculates the sum value between the calculated ratio and the initial damage degree corresponding to the transportation goods, obtains the damage degree of the transportation goods after the transportation is completed, and transmits the predicted damage degree of the transportation goods to the equipment transportation speed adjusting module if the difference is less than or equal to 0.

[0012] Further, the equipment transportation speed adjusting module comprises a comparison unit and an equipment transportation speed adjusting unit. The comparison unit receives the damage degree of the transported goods after the transportation is completed transmitted by the transportation goods damage degree prediction unit, determines the quality data of the transported goods after the transportation is completed based on the received information, calculates the difference between the determined quality data and the standard quality data, if the difference ≤ 0, the transportation speed of the drawbridge equipment does not need to be adjusted, if the difference > 0, the transportation speed of the drawbridge equipment needs to be adjusted, and the comparison result and the calculated difference are transmitted to the equipment transportation speed adjustment unit; The equipment transportation speed adjustment unit receives the comparison result and the calculated difference transmitted by the comparison unit, determines the standard extrusion stress received by the transported goods according to the received difference, determines the standard inertial force received by the drawbridge equipment in combination with the elastic deformation amount generated by the transported goods under the action of the inertial force, determines the standard transportation speed of the drawbridge equipment according to the determination result, adjusts the transportation speed of the drawbridge equipment based on the determination result, and transmits the adjustment result to the ship berthing position adjustment module.

[0013] Further, the ship berthing position adjustment module comprises a transportation frequency determination unit, a working time length calculation unit, an information acquisition unit, a waiting time length calculation unit, an on-site horizontal transportation capacity prediction unit and a ship berthing position adjustment unit. The transportation frequency determination unit acquires the number of containers in which the transported goods are transported in the ship, determines the total transportation frequency of the drawbridge equipment based on the acquired value, and transmits the determined total transportation frequency of the drawbridge equipment to the working time length calculation unit. The working time length calculation unit receives the total transportation frequency transmitted by the transportation frequency determination unit and the adjustment result transmitted by the equipment transportation speed adjustment unit, constructs a mathematical model in combination with the delay time of the drawbridge equipment The working time length of the drawbridge equipment is calculated, and the calculation result is transmitted to the information acquisition unit and the on-site horizontal transportation capacity prediction unit. The information acquisition unit receives the calculation result transmitted by the working time length calculation unit, determines the working time of the drawbridge equipment in combination with the preset berthing time of the drawbridge equipment, acquires the working conditions of other drawbridge equipment within the working time, if the other drawbridge equipment works, acquires the position information of the working drawbridge equipment and the goods horizontal transportation time point, and transmits the acquired information to the waiting time length calculation unit. The waiting time calculation unit receives the acquisition information transmitted by the information acquisition unit, calculates the time point when the cargo transport tool parked in the cargo placement area corresponding to other overhead bridge equipment reaches the cargo placement area corresponding to the preset berthing position of the ship based on the received information, compares the calculation result with the cargo horizontal transport time point corresponding to the preset berthing position of the ship, and if T'' < calculation result < T', it indicates that the cargo transport tool corresponding to the preset berthing position of the ship hinders the movement of the cargo transport tool corresponding to other overhead bridge equipment. At this time, the waiting time of the cargo transport tool corresponding to other overhead bridge equipment is calculated, and the calculation result is transmitted to the horizontal transport capacity prediction unit in the field; The horizontal transport capacity prediction unit in the field receives the calculation result transmitted by the waiting time calculation unit and the calculation result transmitted by the working time length calculation unit, calculates the ratio between R and the working time length based on the received information, and obtains the horizontal transport capacity in the working time. The ratio between R and the working time length is calculated to obtain the horizontal transport capacity in the working time, and the predicted horizontal transport capacity in the working time is transmitted to the ship berthing position adjustment unit; The ship berthing position adjustment unit receives the horizontal transport capacity in the working time transmitted by the horizontal transport capacity prediction unit in the field, compares the predicted horizontal transport capacity in the working time with the standard horizontal transport capacity in the field, and according to the comparison result, selects whether to adjust the preset berthing time of the ship. If adjustment is needed, the waiting time of the cargo transport tool corresponding to other overhead bridge equipment is determined according to T'' < calculation result < T', the horizontal transport capacity in the working time is predicted based on the determined waiting time, and the adjusted position of the ship is determined based on the prediction result.

[0014] Compared with the prior art, the beneficial effects achieved by the present application are: 1. The present application calculates the maximum inertial force received by the overhead bridge equipment according to the delay time of the overhead bridge equipment, predicts the damage degree of the transported goods after the transportation is completed by combining the elastic coefficient of the transported goods, determines the quality data of the transported goods after the transportation is completed based on the prediction result, and adjusts the transportation speed of the overhead bridge equipment according to the determined quality data. Avoiding the overhead bridge equipment to cause excessive damage to the transported goods at the set transportation speed, further improving the transportation quality of the equipment transporting goods.

[0015] 2. The application determines the working time length of the drawbridge equipment by adjusting the transportation speed of the drawbridge equipment and the delay time of the drawbridge equipment, determines the working time of the drawbridge equipment in combination with the preset docking time of the drawbridge equipment, and further obtains the position information of other working drawbridge equipment and the horizontal transportation time point of the goods, calculates the waiting time of the corresponding goods transportation tool of other drawbridge equipment according to the obtained information, thereby predicting the horizontal transportation capacity in the yard within the working time, predicting the horizontal transportation capacity in the yard corresponding to the position of other drawbridge equipment within the working time, and determining the adjustment position of the ship based on the prediction result, which takes into account the influence of signal delay time on the working time of the drawbridge equipment, thereby improving the accuracy of predicting the horizontal transportation capacity in the yard and further enhancing the transportation capacity of the port. BRIEF DESCRIPTION OF DRAWINGS

[0016] The accompanying drawings are included to provide a further understanding of the application, and constitute a part of the specification, illustrate the application, and are used to explain the application, and do not constitute a limitation on the application. In the drawings: Figure 1 is a working process schematic diagram of an intelligent transportation data management system and method of equipment based on the Internet of Things; Figure 2 is a working principle structure schematic diagram of an intelligent transportation data management system and method of equipment based on the Internet of Things. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the application will be described in detail below with reference to the drawings of the embodiments of the application. Obviously, the described embodiments are only a part of the embodiments of the application, not all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the application.

[0018] Please refer to Figure 1 and Figure 2 , the application provides a technical solution: an intelligent transportation data management method of equipment based on the Internet of Things, which comprises: S10: based on the ship preset docking position and the ship preset docking time obtained based on the Internet of Things, obtaining the single maximum transportation goods capacity of the corresponding drawbridge equipment, the maximum transportation speed of the drawbridge equipment and the delay time of the drawbridge equipment, determining the maximum inertia force received by the drawbridge equipment based on the obtained information, and predicting the damage degree of the transported goods after transportation in combination with the elastic coefficient of the transported goods; S10 comprises: S101: According to the preset berthing position and time of the ship, the corresponding lifting bridge equipment is determined, and based on the determination result, the single maximum transport cargo capacity of the lifting bridge equipment, the maximum transport speed of the lifting bridge equipment and the delay time of the lifting bridge equipment are obtained; S102: According to the delay time and the single maximum transport cargo capacity of the lifting bridge equipment obtained in S101, the maximum inertia force of the lifting bridge equipment is calculated, and the specific calculation formula F is: ; Wherein, m represents the single maximum transport cargo capacity of the lifting bridge equipment, V represents the maximum transport speed of the lifting bridge equipment, t 延迟 represents the delay time of the lifting bridge equipment receiving the deceleration signal, s represents the distance value from the deceleration position of the lifting bridge equipment to the cargo placement area position, and F represents the maximum inertia force received by the lifting bridge equipment; S103: According to the maximum inertia force received by the lifting bridge equipment calculated in S102, the damage degree of the transported cargo after transportation is predicted in combination with the elastic coefficient of the transported cargo, and the specific prediction formula W is: When F-kx>0: ; When F-kx≤0: ; Wherein, k represents the stiffness coefficient of the transported cargo, x represents the deformation amount of the transported cargo when the acting force is F, a represents the extrusion area of the transported cargo, A represents the total area of the transported cargo, β represents the damage area of the transported cargo when the unit stress is received, and W represents the predicted damage degree of the transported cargo after transportation, represents the extrusion stress received by the transported cargo, and W' represents the initial damage degree of the transported cargo; S20: Based on the predicted damage degree of the transported cargo after transportation in S10, the quality data of the transported cargo after transportation is determined, and based on the determination result, the transport speed of the lifting bridge equipment is selectively adjusted; S20 includes: S201: According to the predicted damage degree of the transported cargo after transportation in S103, the quality data of the transported cargo after transportation is determined, and the determined quality data is compared with the standard quality data, and according to the comparison result, it is selected whether to adjust the transport speed of the lifting bridge equipment; S202: The specific method for adjusting the transport speed of the lifting bridge equipment is: The difference between the standard quality data and the quality data determined in S103 is calculated. If the difference is ≤0, the transport speed of the bridge equipment does not need to be adjusted. If the difference is >0, the transport speed of the bridge equipment needs to be adjusted. The standard extrusion stress suffered by the transported goods is determined according to the difference, and the standard inertial force suffered by the bridge equipment is determined in combination with the elastic deformation amount of the transported goods under the action of the inertial force. The standard transport speed of the bridge equipment is determined according to the determined standard inertial force; The transport speed of the bridge equipment is adjusted according to the determined standard transport speed. S30: Based on the adjusted transport speed of the bridge equipment in S20, the working time of the bridge equipment is determined in combination with the delay time of the bridge equipment and the preset docking time of the bridge equipment. The in-field horizontal transport capacity of the bridge equipment is predicted within the working time, and the preset docking position of the ship is adjusted based on the prediction result.

[0019] S30 includes: S301: The number of containers of the transported goods in the ship is obtained, and the total transport times of the bridge equipment are determined based on the obtained value. The number of containers = the total transport times of the bridge equipment. S302: According to the total transport times determined in S301, the working time length of the bridge equipment is determined in combination with the adjusted transport speed of the bridge equipment and the delay time of the bridge equipment. The specific determination formula T is: ; Wherein, R represents the total transport times of the bridge equipment, S represents the horizontal distance of the bridge equipment from the goods placement area to the ship docking position, S1 represents the longitudinal movement distance of the bridge equipment in the goods placement area, S2 represents the longitudinal movement distance of the bridge equipment in the ship docking position, The adjusted transport speed of the bridge equipment is represented by S, h represents the horizontal distance of the bridge equipment from the ship docking position when the ship is docked at the position of the bridge equipment, X represents the braking distance of the bridge equipment, and T represents the working time length of the bridge equipment. S303: Based on the working time length of the bridge equipment determined in S302, the working time of the bridge equipment is determined in combination with the preset docking time of the bridge equipment. The in-field horizontal transport capacity is predicted within the working time. The specific prediction method is: The working conditions of other bridge equipment within the working time are obtained. If the other bridge equipment is working, the position information of the working bridge equipment and the goods horizontal transport time point are obtained. The goods horizontal transport time point refers to the time when the goods transportation tool starts to move after the bridge equipment places the goods on the goods transportation tool. Based on the obtained location information of other suspension bridge equipment and the horizontal transport time of the cargo, the time when the cargo transport vehicle parked in the cargo placement area corresponding to the other suspension bridge equipment arrives at the cargo placement area corresponding to the ship's preset berthing position is calculated. The calculation result is compared with the horizontal transport time of the cargo corresponding to the ship's preset berthing position. If T´≤Calculation result<T´´, it means that the cargo transport vehicle corresponding to the ship's preset berthing position is obstructing the movement of the cargo transport vehicle corresponding to the other suspension bridge equipment. At this time, the waiting time of the cargo transport vehicle corresponding to the other suspension bridge equipment is calculated, where T´´ represents the horizontal transport time of the cargo corresponding to the ship's preset berthing position, and T´ represents the time when the cargo transport vehicle corresponding to the ship's preset berthing position arrives at the corresponding cargo placement area. Based on the calculated waiting time of cargo transport vehicles corresponding to other suspension bridge equipment, the waiting time is... The ratio between R and the length of working time is used to calculate the on-site horizontal transport capacity during the working time. S304: Compare the predicted horizontal transport capacity within the yard during the working hours in S303 with the standard horizontal transport capacity within the yard. Based on the comparison results, decide whether to adjust the preset berthing time of the vessel. If adjustment is required, determine the waiting time of cargo transport vehicles corresponding to the location of other gantry crane equipment based on T´≤Calculation result<T´´. Based on the determined waiting time, predict the horizontal transport capacity within the yard during the working hours. Based on the prediction results, mark the location of the gantry crane equipment corresponding to the strongest predicted transport capacity within the yard, and use the marked location as the adjustment location of the vessel.

[0020] An intelligent transportation data management system based on the Internet of Things (IoT) includes a cargo damage prediction module, an equipment transportation speed adjustment module, and a ship berthing position adjustment module. The cargo damage prediction module is used to determine the maximum inertial force on the suspension bridge equipment based on the maximum cargo capacity of the suspension bridge equipment in a single trip, the maximum transport speed of the suspension bridge equipment, and the delay time of the suspension bridge equipment. Combined with the elastic coefficient of the transported cargo, it predicts the degree of damage to the transported cargo after the transport is completed, and transmits the prediction results to the equipment transport speed adjustment module. The damage prediction module for transported goods includes an equipment transportation information acquisition unit, an inertial force calculation unit, and a damage prediction unit for transported goods. The equipment transportation information acquisition unit determines the corresponding suspension bridge equipment based on the ship's preset berthing position and preset berthing time. Based on the determination result, it acquires the suspension bridge equipment's maximum single-transport capacity, maximum transportation speed, and delay time, and transmits the acquired information to the inertial force calculation unit. The inertia force calculation unit receives the acquisition information transmitted by the equipment transportation information acquisition unit, and constructs a mathematical model based on the received information The maximum inertia force of the drawbridge equipment is calculated, and the calculation result is transmitted to the transportation goods damage degree prediction unit, wherein m represents the maximum single transportation goods amount of the drawbridge equipment, V represents the maximum transportation speed of the drawbridge equipment, t 延迟 represents the delay time when the drawbridge equipment receives the deceleration signal, s represents the distance value from the deceleration start position of the drawbridge equipment to the goods placement area position, and F represents the maximum inertia force received by the drawbridge equipment; The transportation goods damage degree prediction unit receives the calculation result transmitted by the inertia force calculation unit, determines the elastic force received by the transportation goods under the action of the inertia force according to the corresponding elastic coefficient of the transportation goods, calculates the difference between the inertia force and the elastic force received by the transportation goods, calculates the extrusion stress received by the transportation goods if the difference > 0, determines the damage area of the transportation goods under the action of the extrusion stress according to the corresponding damage area when the transportation goods receives unit stress, calculates the ratio between the determined damage area and the total area of the transportation goods, calculates the sum value between the calculated ratio and the initial damage degree corresponding to the transportation goods, and obtains the damage degree of the transportation goods after the transportation is completed if the difference ≤ 0, the damage degree of the transportation goods after the transportation is completed is the initial damage degree corresponding to the transportation goods, and the predicted damage degree of the transportation goods is transmitted to the equipment transportation speed adjustment module; The equipment transportation speed adjustment module is used for receiving the damage degree of the transportation goods after the transportation is completed transmitted by the transportation goods damage degree prediction module, determining the quality data of the transportation goods after the transportation is completed based on the received information, adjusting the transportation speed of the drawbridge equipment based on the determination result, and transmitting the adjustment result to the ship berthing position adjustment module; The equipment transportation speed adjustment module comprises a comparison unit and an equipment transportation speed adjustment unit; The comparison unit receives the damage degree of the transportation goods after the transportation is completed transmitted by the transportation goods damage degree prediction unit, determines the quality data of the transportation goods after the transportation is completed based on the received information, calculates the difference between the determined quality data and the standard quality data, adjusts the transportation speed of the drawbridge equipment if the difference > 0, and transmits the comparison result and the calculated difference to the equipment transportation speed adjustment unit; The device transportation speed adjusting unit receives the comparison result transmitted by the comparison unit and the calculated difference value, determines the standard extrusion stress suffered by the transported goods according to the received difference value, determines the standard inertial force suffered by the drawbridge device in combination with the elastic deformation amount of the transported goods under the action of the inertial force, determines the standard transportation speed of the drawbridge device according to the determination result, adjusts the transportation speed of the drawbridge device based on the determination result, and transmits the adjustment result to the ship berthing position adjusting module; The ship berthing position adjusting module is used for receiving the drawbridge device transportation speed adjustment result transmitted by the device transportation speed adjusting module, determining the working time of the drawbridge device based on the received information in combination with the delay time of the drawbridge device and the preset berthing time of the drawbridge device, predicting the on-site horizontal transportation capacity of the drawbridge device within the working time, and adjusting the preset berthing position of the ship based on the prediction result.

[0021] The ship berthing position adjusting module comprises a transportation frequency determining unit, a working time length calculating unit, an information acquiring unit, a waiting time calculating unit, an on-site horizontal transportation capacity predicting unit and a ship berthing position adjusting unit. The transportation frequency determining unit acquires the number of containers in which the goods are transported in the ship, determines the total transportation frequency of the drawbridge device based on the acquired value, and transmits the determined total transportation frequency of the drawbridge device to the working time length calculating unit. The working time length calculating unit receives the total transportation frequency transmitted by the transportation frequency determining unit and the adjustment result transmitted by the device transportation speed adjusting unit, constructs a mathematical model in combination with the delay time of the drawbridge device calculates the working time length of the drawbridge device, and transmits the calculation result to the information acquiring unit and the on-site horizontal transportation capacity predicting unit, wherein R represents the total transportation frequency of the drawbridge device, S represents the horizontal distance of the drawbridge device from the goods placement area to the ship berthing position, S1 represents the longitudinal movement distance of the drawbridge device in the goods placement area, S2 represents the longitudinal movement distance of the drawbridge device in the ship berthing position, represents the adjusted transportation speed of the drawbridge device, h represents the horizontal distance of the drawbridge device from the ship berthing position when the ship is berthed at the position of the drawbridge device, X represents the braking distance of the drawbridge device, and T represents the working time length of the drawbridge device. The information acquiring unit receives the calculation result transmitted by the working time length calculating unit, determines the working time of the drawbridge device in combination with the preset berthing time of the drawbridge device, acquires the working condition of other drawbridge devices within the working time, acquires the position information of the working drawbridge device and the goods horizontal transportation time point if the other drawbridge devices are working, and transmits the acquired information to the waiting time calculating unit. The waiting time calculation unit receives the acquisition information transmitted by the information acquisition unit, calculates the time point at which the cargo transport tool parked in the cargo placement area corresponding to the other bridge equipment reaches the cargo placement area corresponding to the preset berthing position of the ship based on the received information, compares the calculation result with the cargo horizontal transport time point corresponding to the preset berthing position of the ship, and if T'' < calculation result < T', it indicates that the cargo transport tool corresponding to the preset berthing position of the ship hinders the movement of the cargo transport tool corresponding to the other bridge equipment. At this time, the waiting time of the cargo transport tool corresponding to the other bridge equipment is calculated, and the calculation result is transmitted to the horizontal transport capacity prediction unit in the field. Wherein, T'' represents the cargo horizontal transport time point corresponding to the preset berthing position of the ship, and T' represents the time point at which the cargo transport tool corresponding to the preset berthing position of the ship reaches the corresponding cargo placement area. The horizontal transport capacity prediction unit in the field receives the calculation result transmitted by the waiting time calculation unit and the calculation result transmitted by the working time length calculation unit, calculates the waiting time of the cargo transport tool corresponding to the other bridge equipment based on the received information, and calculates the horizontal transport capacity in the field in the working time based on the ratio between R and the working time length. The predicted horizontal transport capacity in the field in the working time is transmitted to the ship berthing position adjustment unit. The horizontal transport capacity prediction unit in the field receives the calculation result transmitted by the waiting time calculation unit and the calculation result transmitted by the working time length calculation unit, calculates the waiting time of the cargo transport tool corresponding to the other bridge equipment based on the received information, and calculates the horizontal transport capacity in the field in the working time based on the ratio between R and the working time length. The predicted horizontal transport capacity in the field in the working time is transmitted to the ship berthing position adjustment unit. The ship berthing position adjustment unit receives the horizontal transport capacity in the field in the working time transmitted by the horizontal transport capacity prediction unit in the field, compares the predicted horizontal transport capacity in the field in the working time with the standard horizontal transport capacity in the field, and selects whether to adjust the preset berthing time of the ship according to the comparison result. If adjustment is needed, the waiting time of the cargo transport tool corresponding to the position where the other bridge equipment is located is determined according to T'' < calculation result < T', the horizontal transport capacity in the field in the working time is predicted based on the determined waiting time, and the adjusted position of the ship is determined based on the prediction result.

[0022] It should be noted that in this paper, relationship terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between the entities or operations. Moreover, the terms "include", "contain" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or equipment.

[0023] Finally, it should be noted that the above only describes the preferred embodiments of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art will appreciate that the technical solutions described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalent ones. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for intelligent transportation data management of devices based on the Internet of Things, characterized in that: The method includes: S10: Based on the preset berthing position and preset berthing time of the ship obtained by the Internet of Things, the maximum cargo capacity, maximum transport speed and delay time of the corresponding sling bridge equipment are obtained. Based on the obtained information, the maximum inertial force on the sling bridge equipment is determined. Combined with the elastic coefficient of the transported cargo, the degree of damage to the transported cargo after the transport is completed is predicted. S20: Based on the degree of damage to the transported goods predicted in S10 after transportation, the quality data of the transported goods after transportation is determined, and based on the determination result, the transport speed of the suspension bridge equipment is selectively adjusted; S30: Based on the adjusted transport speed of the suspension bridge equipment in S20, combined with the delay time and preset berthing time of the suspension bridge equipment, the working time of the suspension bridge equipment is determined. During the working time, the on-site horizontal transport capacity of the suspension bridge equipment is predicted. Based on the prediction results, the preset berthing position of the ship is adjusted.

2. The intelligent transportation data management method for devices based on the Internet of Things according to claim 1, characterized in that: S10 includes: S101: Based on the ship's preset berthing position and preset berthing time, determine the corresponding gantry crane equipment, and based on the determination results, obtain the gantry crane equipment's maximum single-transport capacity, maximum transport speed, and delay time. S102: Based on the delay time and maximum single-transport capacity of the suspension bridge equipment obtained in S101, the maximum inertial force of the suspension bridge equipment is calculated. The specific calculation formula F is: ； Where m represents the maximum cargo capacity transported by the suspension bridge equipment in a single trip, V represents the maximum transport speed of the suspension bridge equipment, and t 延迟 The delay time for the suspension bridge equipment to receive the deceleration signal is represented by s, the distance from the position where the suspension bridge equipment begins to decelerate to the position of the goods placement area is represented by F, and the maximum inertial force on the suspension bridge equipment is represented by F. S103: Based on the maximum inertial force on the suspension bridge equipment calculated in S102, and combined with the elastic coefficient of the transported goods, the degree of damage to the transported goods after transportation is predicted. The specific prediction formula W is: When F-kx > 0: ； When F-kx≤0: ； Where k represents the stiffness coefficient of the transported goods, x represents the deformation of the transported goods under the applied force F, a represents the compression area of ​​the transported goods, A represents the total area of ​​the transported goods, β represents the damage area of ​​the transported goods under unit stress, and W represents the predicted degree of damage to the transported goods after transportation. W' represents the compressive stress on the transported goods, and W' represents the initial degree of damage to the transported goods.

3. The method for intelligent transportation data management of devices based on the Internet of Things according to claim 2, characterized in that: S20 includes: S201: Based on the degree of damage to the transported goods predicted in S103 after transportation, determine the quality data of the transported goods after transportation, compare the determined quality data with the standard quality data, and select whether to adjust the transport speed of the suspension bridge equipment based on the comparison results. S202: The specific method for adjusting the transport speed of suspension bridge equipment is as follows: The difference between the standard quality data and the quality data determined in S103 is calculated. If the difference is ≤0, there is no need to adjust the transport speed of the suspension bridge equipment. If the difference is >0, the transport speed of the suspension bridge equipment needs to be adjusted. The standard compressive stress on the transported goods is determined based on the difference. The standard inertial force on the suspension bridge equipment is determined by combining the elastic deformation of the transported goods under the action of inertial force. The standard transport speed of the suspension bridge equipment is determined based on the determined standard inertial force. The transport speed of the suspension bridge equipment is adjusted according to the established standard transport speed.

4. The method for intelligent transportation data management of devices based on the Internet of Things according to claim 3, characterized in that: S30 includes: S301: Obtain the number of containers carrying cargo on the ship, and determine the total number of transport trips of the gantry crane equipment based on the obtained value; S302: Based on the total number of transport trips determined in S301, and considering the adjusted transport speed and delay time of the suspension bridge equipment, the working time of the suspension bridge equipment is determined using the following formula: ； Where R represents the total number of transport trips by the gantry crane equipment, S represents the horizontal distance the gantry crane equipment travels from the cargo placement area to the ship's berthing position, S1 represents the longitudinal distance the gantry crane equipment travels within the cargo placement area, and S2 represents the longitudinal distance the gantry crane equipment travels within the ship's berthing position. The adjusted transport speed of the sling bridge equipment is represented by h, which represents the horizontal distance between the sling bridge equipment and the ship's docking position when the ship is docked at the sling bridge equipment's location. X represents the braking distance of the sling bridge equipment, and T represents the working time of the sling bridge equipment. S303: Based on the working time of the suspension bridge equipment determined in S302, and combined with the preset stopping time of the suspension bridge equipment, the working time of the suspension bridge equipment is determined, and the horizontal transport capacity within the site is predicted during the working time. S304: Compare the predicted horizontal transport capacity within the yard during the working hours in S303 with the standard horizontal transport capacity within the yard. Based on the comparison results, decide whether to adjust the preset berthing time of the vessel. If adjustment is required, determine the waiting time of cargo transport vehicles corresponding to the location of the vessel berthing at other gantry crane equipment. Based on the determined waiting time, predict the horizontal transport capacity within the yard during the working hours. Based on the prediction results, mark the location of the gantry crane equipment corresponding to the strongest predicted yard transport capacity, and use the marked location as the adjusted location of the vessel.

5. The intelligent transportation data management method for devices based on the Internet of Things according to claim 4, characterized in that: The specific method for predicting the horizontal transport capacity within the site during working hours, as described in S303, is as follows: During working hours, the operation status of other suspension bridge equipment is acquired. If other suspension bridge equipment is operating, the location information of the operating suspension bridge equipment and the time point of horizontal transportation of goods are acquired. Based on the obtained location information of other suspension bridge equipment and the horizontal transport time of the cargo, the time when the cargo transport vehicle parked in the cargo placement area corresponding to the other suspension bridge equipment arrives at the cargo placement area corresponding to the ship's preset berthing position is calculated. The calculation result is compared with the horizontal transport time of the cargo corresponding to the ship's preset berthing position. If T´≤Calculation result<T´´, it means that the cargo transport vehicle corresponding to the ship's preset berthing position is obstructing the movement of the cargo transport vehicle corresponding to the other suspension bridge equipment. At this time, the waiting time of the cargo transport vehicle corresponding to the other suspension bridge equipment is calculated, where T´´ represents the horizontal transport time of the cargo corresponding to the ship's preset berthing position, and T´ represents the time when the cargo transport vehicle corresponding to the ship's preset berthing position arrives at the corresponding cargo placement area. Based on the calculated waiting time of cargo transport vehicles corresponding to other suspension bridge equipment, the waiting time is... The ratio between R and the length of working time is used to calculate the on-site horizontal transport capacity during the working time.

6. An IoT-based intelligent transportation data management system for devices, applied to the IoT-based intelligent transportation data management method according to any one of claims 1-5, characterized in that: The system includes a cargo damage prediction module, an equipment transport speed adjustment module, and a ship berthing position adjustment module. The damage prediction module for transported goods is used to determine the maximum inertial force on the suspension bridge equipment based on the maximum single transport capacity, the maximum transport speed, and the delay time of the suspension bridge equipment. Combined with the elastic coefficient of the transported goods, it predicts the damage to the transported goods after the transport is completed and transmits the prediction results to the equipment transport speed adjustment module. The equipment transport speed adjustment module is used to receive the damage level of the transported goods after the transport is completed, transmitted by the transported goods damage prediction module. Based on the received information, it determines the quality data of the transported goods after the transport is completed. Based on the determination result, it adjusts the transport speed of the suspension bridge equipment and transmits the adjustment result to the ship berthing position adjustment module. The ship berthing position adjustment module is used to receive the suspension bridge equipment transportation speed adjustment result transmitted by the equipment transportation speed adjustment module. Based on the received information, combined with the suspension bridge equipment delay time and the suspension bridge equipment preset berthing time, the working time of the suspension bridge equipment is determined. During the working time, the on-site horizontal transportation capacity of the suspension bridge equipment is predicted. Based on the prediction result, the preset berthing position of the ship is adjusted.

7. The intelligent transportation data management system for devices based on the Internet of Things according to claim 6, characterized in that: The damage prediction module for transported goods includes an equipment transportation information acquisition unit, an inertial force calculation unit, and a damage prediction unit for transported goods. The equipment transportation information acquisition unit determines the corresponding suspension bridge equipment based on the ship's preset berthing position and preset berthing time. Based on the determination result, it acquires the suspension bridge equipment's maximum single-transport capacity, maximum transportation speed, and delay time, and transmits the acquired information to the inertial force calculation unit. The inertial force calculation unit receives the acquired information transmitted by the equipment transportation information acquisition unit, and constructs a mathematical model based on the received information. The maximum inertial force of the suspension bridge equipment is calculated, and the calculation results are transmitted to the damage prediction unit for transported goods. The cargo damage prediction unit receives the calculation results transmitted by the inertial force calculation unit. Based on the elastic coefficient corresponding to the cargo, it determines the elastic force experienced by the cargo under inertial force. Combining the inertial force experienced by the cargo, it calculates the difference between the inertial force and the elastic force. If the difference is greater than 0, it calculates the compressive stress experienced by the cargo. Combining the damage area corresponding to the unit stress experienced by the cargo, it determines the damage area of ​​the cargo under compressive stress. It calculates the ratio between the determined damage area and the total area of ​​the cargo. It calculates the sum of the calculated ratio and the initial damage level of the cargo to obtain the damage level of the cargo after transportation. If the difference is less than or equal to 0, it means that the damage level of the cargo after transportation is the same as the initial damage level of the cargo. The predicted damage level of the cargo is then transmitted to the equipment transportation speed adjustment module.

8. The intelligent transportation data management system for devices based on the Internet of Things according to claim 7, characterized in that: The equipment transport speed adjustment module includes a comparison unit and an equipment transport speed adjustment unit; The comparison unit receives the damage level of the transported goods after the transport is completed, transmitted by the damage level prediction unit. Based on the received information, it determines the quality data of the transported goods after the transport is completed, calculates the difference between the determined quality data and the standard quality data. If the difference is ≤0, there is no need to adjust the transport speed of the suspension bridge equipment. If the difference is >0, the transport speed of the suspension bridge equipment needs to be adjusted. The comparison result and the calculated difference are transmitted to the equipment transport speed adjustment unit. The equipment transport speed adjustment unit receives the comparison results and calculated differences transmitted by the comparison unit, determines the standard compressive stress on the transported goods based on the received difference, and determines the standard inertial force on the suspension bridge equipment by combining the elastic deformation of the transported goods under the action of inertial force. Based on the determination results, the standard transport speed of the suspension bridge equipment is determined, and the transport speed of the suspension bridge equipment is adjusted based on the determination results. The adjustment results are then transmitted to the ship berthing position adjustment module.

9. The intelligent transportation data management system for devices based on the Internet of Things according to claim 8, characterized in that: The ship berthing position adjustment module includes a transport frequency determination unit, a working time length calculation unit, an information acquisition unit, a waiting time calculation unit, an in-yard horizontal transport capacity prediction unit, and a ship berthing position adjustment unit. The transport frequency determination unit acquires the number of containers transporting cargo in the ship, determines the total number of transports of the suspension bridge equipment based on the acquired value, and transmits the determined total number of transports of the suspension bridge equipment to the working time length calculation unit. The working time length calculation unit receives the total number of transports transmitted by the transport number determination unit and the adjustment results transmitted by the equipment transport speed adjustment unit, and constructs a mathematical model by combining the delay time of the suspension bridge equipment. The working time of the suspension bridge equipment is calculated, and the calculation results are transmitted to the information acquisition unit and the on-site horizontal transport capacity prediction unit. The information acquisition unit receives the calculation results transmitted by the working time length calculation unit, determines the working time of the suspension bridge equipment by combining the preset stopping time of the suspension bridge equipment, and acquires the working status of other suspension bridge equipment during the working time. If other suspension bridge equipment is working, the unit acquires the location information of the working suspension bridge equipment and the horizontal transportation time of the goods, and transmits the acquired information to the waiting time calculation unit. The waiting time calculation unit receives the acquired information transmitted by the information acquisition unit. Based on the received information, it calculates the time when the cargo transport vehicle parked in the cargo placement area corresponding to the other suspension bridge equipment arrives at the cargo placement area corresponding to the ship's preset berthing position. The calculation result is compared with the cargo horizontal transport time point corresponding to the ship's preset berthing position. If T´≤Calculation result<T´´, it means that the cargo transport vehicle corresponding to the ship's preset berthing position is obstructing the movement of the cargo transport vehicle corresponding to the other suspension bridge equipment. At this time, the waiting time of the cargo transport vehicle corresponding to the other suspension bridge equipment is calculated, and the calculation result is transmitted to the field horizontal transport capacity prediction unit. The on-site horizontal transport capacity prediction unit receives the calculation results transmitted by the waiting time calculation unit and the calculation results transmitted by the working time length calculation unit. Based on the received information, it calculates the waiting time. The ratio between R and the length of working time is calculated to obtain the horizontal transport capacity within the yard during the working time, and the predicted horizontal transport capacity within the yard during the working time is transmitted to the ship berthing position adjustment unit. The ship berthing position adjustment unit receives the on-site horizontal transport capacity during the working time transmitted by the on-site horizontal transport capacity prediction unit, compares the predicted on-site horizontal transport capacity during the working time with the standard on-site horizontal transport capacity, and selects whether to adjust the ship's preset berthing time based on the comparison result. If adjustment is required, the waiting time for cargo transport vehicles corresponding to the ship's berthing at other gantry crane locations is determined according to the formula T´≤Calculation result<T´´. Based on the determined waiting time, the on-site horizontal transport capacity is predicted during the working time, and the ship's adjustment position is determined based on the prediction result.

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