CN-121998550-A - Method, electronic equipment and storage medium for scheduling shoreside goods under weak network

CN121998550ACN 121998550 ACN121998550 ACN 121998550ACN-121998550-A

Abstract

The application relates to the technical field of wharf tally, and provides a method, electronic equipment and a storage medium for dispatching shoreside cargoes under a weak network. The method comprises the steps that electronic equipment firstly obtains first signal intensity in a first time period, generates a first control signal in combination with a signal intensity threshold value, triggers a rule engine to determine a temporary stacking position according to detailed information of goods, then obtains second signal intensity later than the first time period, generates a second control signal in combination with the threshold value, and triggers the detailed information, the temporary stacking position and multi-angle image data of the goods to be transmitted to a wharf operating system server so as to determine a final storage position. The application can realize orderly switching of offline operation under the weak network and data synchronization after network recovery, avoid equipment suspension waiting, improve ship unloading efficiency and reduce ship period loss, simultaneously ensure the control precision of cargo dispatching, and is suitable for cargo dispatching scenes under the weak network environment at the front edge of a wharf.

Inventors

YU YUE
ZHAO CHUN
Zhao Leihu
YIN XIAOMENG

Assignees

上海振华重工集团科技有限公司
上海振华重工(集团)股份有限公司

Dates

Publication Date: 20260508
Application Date: 20260122

Claims (10)

1. A method for scheduling a shoreside cargo under a weak network, applied to an electronic device, comprising the following steps: acquiring first signal intensity in a first time period, and generating a first control signal when the electronic equipment is determined to be in a weak network state based on the first signal intensity; based on the first control signal, the acquired detailed information of the goods is used as input data of a preset rule engine to determine a temporary stacking position of the goods; Acquiring a second signal strength in a second time period, and generating a second control signal when the electronic equipment is determined to be converted from the weak network state to the strong network state based on the second signal strength, wherein the second time period is later than the first time period; And determining a final storage position of the goods based on the second control signal, the detailed information, the temporary stacking position and the acquired multi-angle image data of the goods.
2. The method of claim 1, wherein the determining the final storage location of the good based on the second control signal, the detailed information, the temporary stacking location, and the acquired multi-angle image data of the good further comprises: and slicing the detailed information, the temporary stacking position and the multi-angle image data of the goods.
3. The method according to claim 1, wherein the determining the temporary stacking position of the goods by using the acquired detailed information of the goods as input data of a preset rule engine comprises: And taking the acquired detailed information of the goods as input data of the preset rule engine to acquire the temporary stacking position and prompt information, wherein the prompt information is used for indicating that the goods are overrun goods or risk goods and rectifying and modifying requirements.
4. The method of claim 3, wherein the determining the final storage location of the good based on the second control signal, the detailed information, the temporary stacking location, and the acquired multi-angle image data of the good further comprises: And adding labels to the detailed information, the multi-angle image data and the temporary stacking positions, wherein the labels at least comprise one of a timestamp, coordinates of the electronic equipment, a wharf staff number and a hash value.
5. The method of claim 1, wherein the detailed information of the goods includes at least one of a size, a number of pieces, a weight, a type and a grade of damage, a binding state, a pollution condition, a special mark.
6. The method of claim 1, wherein the determining that the electronic device is in a weak network state based on the first signal strength comprises: And under the condition that the first signal intensity is smaller than a preset signal intensity threshold value, determining that the electronic equipment is in the weak network state, wherein the signal intensity threshold value is-105 decibel-milliwatts.
7. The method of claim 1, further comprising, prior to said obtaining the first signal strength, obtaining a ship operation order, a manifest, and a port security rule base.
8. An electronic device comprising a processor and a memory having stored therein at least one instruction or at least one program loaded and executed by the processor to implement the method for weak network offshore cargo scheduling according to any of claims 1 to 7.
9. A computer readable storage medium having stored therein at least one instruction or at least one program loaded and executed by a processor to implement the method for weak network lower shore cargo scheduling of any of claims 1 to 7.
10. A computer program product comprising computer instructions which, when run on an electronic device, cause the electronic device to perform the method for weak network lower shore cargo scheduling of any of claims 1 to 7.

Description

Method, electronic equipment and storage medium for scheduling shoreside goods under weak network Technical Field The application relates to the technical field of port and dock tallying, in particular to a method, electronic equipment and storage medium for scheduling shoreside cargoes under a weak network. Background The existing dock cargo scheduling requires dock personnel to register cargo quantity, weight, damage, check binding state, photograph, leave and upload data through electronic equipment, and then the electronic equipment transmits the data to a dock operating system (terminal operating system, TOS) server to determine the stacking position of the cargo through the TOS so that the storage position of the cargo is more reasonable. However, in actual operation, wi-Fi signals at the front edge of the wharf are easily blocked by a quay bridge and a ship body, or 5G signals of the public network fluctuate, so that weak network or network disconnection environments frequently occur. Therefore, the electronic device cannot transmit the data to the TOS or acquire the server for verification, so that the dock worker cannot know the storage position of the goods. In order to avoid damage to the cargo caused by the incorrect storage position of the cargo, the crane or the gantry crane has to be controlled to stop and wait for the network to recover, thereby seriously affecting the ship unloading efficiency and causing huge ship period loss. Disclosure of Invention In view of the above, the application provides a method, electronic equipment and storage medium for scheduling shore goods under a weak network, which can solve the problem that temporary stacking positions of goods can be output in time under the condition of weak network or no network, and the problem that the ship unloading efficiency is reduced and huge ship period loss is caused due to the fact that a shore bridge or a portal crane is stopped and hung is avoided. Some embodiments of the application provide a method, electronic equipment and storage medium for scheduling shoreside cargoes under a weak network. The application is described in terms of several aspects, embodiments and advantages of which can be referenced to one another. In a first aspect, the present application provides a method for scheduling a weak network lower shore cargo, applied to an electronic device, including: acquiring first signal intensity in a first time period, and generating a first control signal when the electronic equipment is determined to be in a weak network state based on the first signal intensity; Based on the first control signal, the acquired detailed information of the goods is used as input data of a preset rule engine to determine the temporary stacking position of the goods; Acquiring second signal intensity in a second time period, and generating a second control signal when the electronic equipment is determined to be converted from a weak network state to a strong network state based on the second signal intensity, wherein the second time period is later than the first time period; And determining the final storage position of the goods based on the second control signal, the detailed information, the temporary stacking position and the acquired multi-angle image data of the goods. According to the embodiment of the application, the technical scheme of the application has at least one of the following beneficial effects: Corresponding control signals are generated by distinguishing signal intensities of the first time period and the second time period, an ordered trigger mechanism from offline operation to data synchronization is constructed, and Wi-Fi or 5G signal shielding and fluctuation dynamic scenes at the front edge of the wharf are accurately adapted. Based on the off-line processing flow triggered by the signal intensity of the first time period, the detailed information of goods is converted into temporary stacking positions through the rule engine, so that wharf workers can develop operations without depending on TOS real-time instructions, the crane and the door machine of a quay bridge caused by signal interruption are thoroughly avoided to stop and wait, the ship unloading efficiency is effectively improved, and the loss of a ship period is reduced. After the network is restored, the electronic equipment responds to the second control signal, synchronizes the temporary stacking position, the detailed information of the goods and the image data to the TOS, and determines the final storage position of the goods by the TOS. The method not only realizes high-efficiency operation in an offline state, but also ensures the whole-flow control of the TOS on the cargo state through subsequent data synchronization, ensures the accuracy of the dispatching instruction, and avoids the problem that the efficiency is prioritized and the control precision is sacrificed. In a possible implementation of the first aspect, determining the final