Automobile transportation remote goods receiving management system and processing method thereof

Abstract

The invention provides an automobile transportation remote goods receiving management system and a processing method thereof, which are used for creating a set of specific processing architecture of the automobile transportation remote goods receiving management system under the conception of remote goods receiving, so that the stable and efficient goods receiving effect can be ensured under the remote goods receiving mode of greatly reducing the labor cost, and the goods receiving efficiency is improved. And the production efficiency of enterprises is improved, the production cost is reduced, and the application value is better.

Description

Technical Field

[0001] The present application relates to the field of warehouse management, and in particular to a management system for remote goods receipt by truck and a processing method thereof. Background Art

[0002] It is understandable that for large enterprises, especially manufacturing enterprises, there is generally a huge demand for warehouse management. The reason behind this is that the normal operation of the enterprise involves the handling of a large amount of materials or goods.

[0003] The inventors of the present application have discovered that in today's enterprise warehouse management, based on the needs of digital and intelligent management, the focus is often on how to conduct transparent and efficient data management of the goods stored in the warehouse. However, in the process of receiving the goods, it still relies on on-site warehouse personnel, and there are limitations in processing efficiency and processing costs, which to a certain extent affects the production efficiency and production costs of the enterprise. Summary of the invention

[0004] The present application provides a management system for remote goods receipt by automobile transport and a processing method thereof, which is used to create a specific processing architecture of the management system for remote goods receipt by automobile transport under the concept of remote goods receipt. In this way, in the remote goods receipt method with greatly reduced labor costs, a stable and efficient goods receipt effect can be guaranteed, helping enterprises to improve production efficiency and reduce production costs, and has better application value.

[0005] In the first aspect, the present application provides a remote goods receiving management system for automobile transportation, which includes an unmanned terminal device deployed at the warehouse site and a control host deployed at the background, and the unmanned terminal device is equipped with an intercom device, a display device, a camera and a card swiping device;

[0006] Detecting whether the card swiping device recognizes the identification card information of the corresponding freight driver;

[0007] If the identification card information is recognized, the unmanned terminal device sends the image information collected by the camera and the remote delivery request to the control host, wherein the remote delivery request carries the identification card information;

[0008] After receiving the remote delivery request, the control host initiates the remote delivery processing task, determines whether to confirm the delivery based on the image information, and during the determination process, the AI ​​robot or backstage personnel communicates with the on-site personnel based on both the intercom device and the display device;

[0009] If receipt confirmation is performed, the control host records the information involved in the remote receipt processing task during the task processing in the database for subsequent tracing.

[0010] In the second aspect, the present application provides a processing method for a remote goods receipt management system for automobile transportation, which is applied to the remote goods receipt management system for automobile transportation. The remote goods receipt management system for automobile transportation includes an unmanned terminal device deployed at a warehouse site and a control host deployed at a background. The unmanned terminal device is configured with an intercom device, a display device, a camera, and a card swiping device. The processing method of the remote goods receipt management system for automobile transportation includes:

[0011] Detecting whether the card swiping device recognizes the identification card information of the corresponding freight driver;

[0012] If the identification card information is recognized, the unmanned terminal device sends the image information collected by the camera and the remote delivery request to the control host, wherein the remote delivery request carries the identification card information;

[0013] After receiving the remote delivery request, the control host initiates the remote delivery processing task, determines whether to confirm the delivery based on the image information, and during the determination process, the AI ​​robot or backstage personnel communicates with the on-site personnel based on both the intercom device and the display device;

[0014] If receipt confirmation is performed, the control host records the information involved in the remote receipt processing task during the task processing in the database for subsequent tracing.

[0015] In a third aspect, the present application provides a processing device, including a processor and a memory, wherein a computer program is stored in the memory, and when the processor calls the computer program in the memory, the method provided in the first aspect of the present application or any possible implementation method of the first aspect of the present application is executed.

[0016] In a fourth aspect, the present application provides a computer-readable storage medium, which stores multiple instructions, and the instructions are suitable for a processor to load to execute the method provided by the first aspect of the present application or any possible implementation of the first aspect of the present application.

[0017] From the above content, it can be concluded that the present application has the following beneficial effects:

[0018] Aiming at the receiving link of the enterprise warehouse, this application has created a specific processing architecture of the automobile remote receiving management system under the concept of remote receiving. In this way, under the remote receiving method with greatly reduced labor costs, it can ensure stable and efficient goods receiving effects, help enterprises improve production efficiency and reduce production costs, and has better application value. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0020] Figure 1 This is a system architecture diagram of the automobile transport remote receiving management system for this application;

[0021] Figure 2 This is a scenario diagram of the automobile transportation remote receiving management system for this application;

[0022] Figure 3 A flow chart of a processing method of the automobile remote receiving management system of this application. DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0024] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described here can be implemented in an order other than that illustrated or described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or modules is not necessarily limited to those steps or modules clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products or devices. The naming or numbering of steps in this application does not mean that the steps in the method flow must be executed in the time / logical sequence indicated by the naming or numbering. The process steps that have been named or numbered can change the execution order according to the technical purpose to be achieved, as long as the same or similar technical effects can be achieved.

[0025] The division of modules in this application is a logical division. There may be other division methods when it is implemented in actual applications. For example, multiple modules can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection between modules can be electrical or other similar forms, which are not limited in this application. In addition, the modules or submodules described as separate components may or may not be physically separated, may or may not be physical modules, or may be distributed in multiple circuit modules, and some or all of the modules may be selected according to actual needs to achieve the purpose of the present application.

[0026] First, see Figure 1 A system architecture diagram of the automobile transport remote receiving management system of the present application is shown. The automobile transport remote receiving management system provided by the present application involves two major parts: the site and the background. Specifically, it may include unmanned terminal equipment (also referred to as unmanned receiving terminal) deployed at the warehouse site and a control host deployed at the background. The unmanned terminal equipment is configured with an intercom device, a display device, a camera and a card swiping device, among which:

[0027] The intercom device mainly provides voice communication conditions between the unmanned terminal equipment and the freight driver through a loudspeaker (commonly known as a horn) and a microphone;

[0028] The display device can also be understood as a display screen (usually an LED screen, which may also have a touch function), which can display the content that the unmanned terminal device or the background control host needs to show to the freight driver, such as the identity information of the freight driver, the vehicle information of the freight vehicle, the image information of the freight driver (also known as the truck driver) under the camera, the image information of the freight vehicle under the camera, etc. prompt information, and can also provide implementation conditions for video chat / communication between the freight driver and the background personnel;

[0029] The camera is used to collect on-site image information, so as to reflect the on-site situation to the backend, so as to assist the backend in accurately determining whether receipt confirmation can be carried out;

[0030] The card swiping device includes a card swiping port, and the card swiping device can also be understood as a card reader. When the freight driver transports the corresponding goods to the enterprise warehouse by a motor transport vehicle for collection, the identification card pre-configured by the enterprise can be placed in the card swiping port for identification by the card swiping device.

[0031] It can be understood that the above device structure can be directly configured on the unmanned terminal device, or it can also be configured outside the unmanned terminal device, such as on the ground, wall, ceiling, etc., so as to provide corresponding input and output functions for the unmanned terminal device. This application does not make specific limitations on its specific structural relationship here.

[0032] As an example, in actual applications, the unmanned terminal equipment can be configured in the form of a cabinet, which is itself equipped with an intercom device, a display device and a card swiping device, and the camera can be deployed on the ceiling at the warehouse door or on the wall close to the ceiling.

[0033] In addition, it can be understood that for the automobile transport remote receipt management system of the present application, the specific number of its control host and unmanned terminal equipment can be adjusted according to actual needs.

[0034] As an example, the remote cargo receiving management system for automobile transportation of the present application can be specifically configured so that one control host can control up to 6-8 unmanned terminal devices.

[0035] At the same time, it should be understood that for unmanned terminal equipment, relevant warehouse management personnel are not required on site during normal operation. However, in some cases, in addition to equipment maintenance and updates, it is possible for warehouse management personnel to manually control the unmanned terminal equipment on site. Manual control can also be considered a fallback measure. In some specific cases, it can meet the temporary needs of on-site warehouse management personnel to manually control the operation of unmanned terminal equipment.

[0036] As for the control host in the background, it can be understood that it can be a server, physical host and other types of equipment, and is configured with corresponding autonomous execution strategies / rules. It can interact with the unmanned terminal equipment on site according to a predetermined working logic to achieve the goal of remote receipt of goods. In addition, it can also introduce artificial intelligence (AI) technology. On the basis of AI robots, it uses the unmanned terminal equipment on site as an interactive medium to communicate with the freight driver on site to communicate related matters about the receipt of goods. Alternatively, corresponding background personnel can be deployed on the background side to complete the communication matters. The background personnel can be either specially arranged seats in the enterprise or other personnel in the enterprise who are idle online. This is possible in actual applications. It is sufficient to determine in advance the operational capabilities and permissions to communicate the receipt of goods.

[0037] A corresponding communication network is pre-established between the unmanned terminal equipment on site and the control host in the background. Either a wireless communication network or a wired communication network can be used. The specific communication protocols or transmission lines that can be used can obviously be selected and configured according to actual needs. The same applies to the unmanned terminal equipment and the series of devices that can be configured with it.

[0038] In addition, the background control host can also have the function of controlling the on-site unmanned terminal equipment, for example, it can remotely configure the basic information and configuration parameters of the on-site unmanned terminal equipment.

[0039] Based on the above introduction to the system architecture involved in the remote goods receipt management system for automobile transportation of this application, the following is a further introduction to the system workflow that may be involved in the remote goods receipt management system for automobile transportation of this application.

[0040] Specifically, for the automobile transport remote receiving management system of this application, the following system workflows may be mainly involved:

[0041] 1) Detect whether the card swiping device recognizes the identification card information of the corresponding freight driver;

[0042] It can be understood that the card swiping device can continuously detect whether the identification card information of the identification card can be recognized, or it can also trigger the identification card information of the identification card to be recognized as the freight driver inserts or places the identification card. This means that the operation of inserting or placing the identification card will change the mechanical structure of the card insertion port and thus determine that a freight driver has inserted or placed the identification card. Alternatively, it can also use sensors such as infrared sensors to determine whether a freight driver exists or has placed the identification card, thereby triggering the identification card information of the identification card to be recognized.

[0043] 2) If the identification card information is recognized, the unmanned terminal device sends the image information collected by the camera and a remote delivery request to the control host, wherein the remote delivery request carries the identification card information;

[0044] After recognizing the identification card information, the unmanned terminal device can learn the driver identity and vehicle identity of the current freight driver from the identification card information, or query the driver identity and vehicle identity that match the specific identifier in the identification card information from the system. Similarly, in some cases, the cargo involved in the current freight vehicle can also be determined.

[0045] Under this condition, the unmanned terminal device can send the image information collected by the camera and the remote delivery request carrying the identification card information to the control host, and use the remote delivery request to trigger the background control host to promote the remote delivery processing.

[0046] Among them, for the cameras deployed on site, they may be in working condition all the time based on safety considerations. Therefore, regardless of whether there is a need for remote delivery, the unmanned terminal device will report the image information collected by the camera to the background. Of course, the unmanned terminal device can also control the camera to collect image information when it determines that there is a need for remote delivery and needs to send a remote delivery request to the background control host.

[0047] In this way, sending the image information collected by the camera to the control host and sending the remote delivery request to the control host can be carried out together or independently and separately. The remote delivery request itself can also directly carry the image information or not, which can be flexibly configured.

[0048] 3) After receiving the remote delivery request, the control host initiates the remote delivery processing task, determines whether to confirm the delivery based on the image information, and during the determination process, the AI ​​robot or backstage personnel communicates with the on-site personnel based on both the intercom device and the display device;

[0049] It can be understood that in the background, the control host promotes remote delivery processing in the form of tasks.

[0050] During the processing, the image information collected on site is mainly used to determine whether it is in a normal state and whether receipt confirmation can be performed. If the on-site situation is determined to be unclear or abnormal, or the relevant personnel have doubts / objections to the on-site situation, the intercom and display device can be used to communicate with the on-site personnel, i.e. the freight driver, to determine the current freight task and its cargo status.

[0051] In this way, when it is determined that the on-site conditions are suitable for receiving the goods, the system can determine to confirm the receipt. Conversely, if after communication it is still determined that the receipt cannot be confirmed, then prompts can be output and relevant personnel can be dispatched to the site to check and other responses. It can be understood that the situation where the receipt cannot be confirmed is relatively rare in actual applications. Therefore, the promotion of specific response measures such as dispatching relevant personnel to the site to check actually falls into the category of solving abnormal problems. The existing operating costs including labor costs are, on the whole, significantly reduced compared to the original need to deploy permanent management personnel on site in the warehouse.

[0052] 4) If receipt confirmation is performed, the control host records the information involved in the remote receipt processing task during the task processing in the database for subsequent tracing.

[0053] If it is determined that receipt confirmation can be made, the control host can provide receipt confirmation feedback through the unmanned terminal device. This processing can be included in the communication process mentioned above, or it can be completed with additional information prompt operations, such as the unmanned terminal device displaying the receipt confirmation prompt content through the display device.

[0054] In addition, when confirming receipt, the control host will record, retain and archive the information involved in each link of the remote receipt processing task in the database for subsequent traceability.

[0055] In the subsequent traceability use links, specific operations such as information export, information forwarding, and content display may be involved, and the corresponding operation form can be configured according to specific traceability needs.

[0056] The database can be deployed on the control host or on a device other than the control host.

[0057] For the specific recording operation adopted, it can be carried out on the basis of the work log or on the basis of other types of files. This can be adjusted according to the actual situation. The work log that can be involved has the characteristics of convenient reading, writing, querying and calling, which is more convenient for the deployment of this application scheme in actual applications.

[0058] from Figure 1 It can be seen from the illustrated embodiments that, with respect to the receiving link of the enterprise warehouse, the present application, based on the concept of remote receiving, has created a specific processing architecture of the automobile remote receiving management system. In this way, in the remote receiving method with greatly reduced labor costs, it can ensure stable and efficient goods receiving effects, help enterprises improve production efficiency and reduce production costs, and has better application value.

[0059] Furthermore, for the camera on the unmanned terminal device side, as an exemplary embodiment, the camera may specifically include a first camera for capturing license plate images and a second camera for capturing images of the interior of the vehicle. The first camera and the second camera are both configured with a perspective adjustment structure to adjust to a corresponding perspective upon receiving a perspective control instruction transmitted from a control host. The perspective control instruction is generated by the unmanned terminal device or the control host.

[0060] It can be understood that in the embodiments herein, the requirements of the present application for collecting on-site images can specifically correspond to the requirements of license plate recognition and the requirements of identifying the internal conditions of the vehicle compartment, and two types of cameras can be deployed accordingly. The two cameras can be deployed in different locations, and the specific types of cameras can also be adjusted according to different identification requirements, so as to have a high degree of adaptability to the respective identification requirements and to collect image information that better meets the requirements.

[0061] In addition, the camera can also use the perspective adjustment structure (or posture adjustment structure) so that the background control host can generate corresponding perspective control instructions to adjust the specific perspective (posture) of the on-site camera according to its own configured adjustment strategy or when the background personnel have manual adjustment needs, so as to collect image information that better meets the needs.

[0062] At the same time, based on the image information collected by the camera, this application also considers introducing or creating a corresponding abnormal reminder mechanism in practical applications, so that when the on-site situation is reflected in the form of images, timely and effective reminders can be given for abnormal situations that are difficult to capture through normal image acquisition operations or difficult to detect through traditional receiving operations.

[0063] Specifically, as an exemplary embodiment, the unmanned terminal equipment on site or the control host in the background can be configured with a corresponding AI model, such as a deep learning model, to perform abnormal situation analysis and processing on the image information collected by the camera through the AI ​​model, and output corresponding prompts based on the abnormal situation analysis and processing results.

[0064] Specifically, in the process of handling freight matters, abnormal conditions may occur in the vehicle and thus affect the cargo. In some cases, this situation may be unknown to the freight driver himself and may not be noticed by other personnel. This may be revealed in subtle image features on the outside of the vehicle and inside the compartment. For example, there may be a large height deviation between the left and right tires of the vehicle, small dents on the outside of the compartment, the placement of cargo inside the compartment does not conform to a predetermined placement method, and there are slight deformations of the cargo inside the compartment. These are difficult to detect manually in actual situations. At this time, the present application can capture and alert based on deep abnormal situation analysis and processing based on image information to promote more efficient and accurate receipt confirmation and processing.

[0065] In addition, in actual situations, the freight driver may know that there are abnormalities in the goods before they are loaded onto the vehicle or that abnormalities occur during transportation, but he does not actively inform the background. At this time, the freight driver's personal behavior characteristics can also be analyzed through image features to determine whether there are unknown abnormal situations, and then corresponding reminders can be issued, or more detailed or multiple abnormal situation analysis and processing can be triggered, which will also help promote more efficient and accurate receipt confirmation and processing.

[0066] In addition, when the vehicle is parked at the warehouse, it may also be affected by the warehouse site conditions, which may have further impacts on the receipt of goods. For example, there may be too much debris at the warehouse site, the ground may be uneven, or the vehicle parking position may be within the normal parking space but deviates significantly. These warehouse site conditions can also be reflected through the corresponding image features, which can also be captured in depth and accurately through AI models to achieve the purpose of timely reminders, avoid further abnormal situations, and promote more efficient and accurate receipt confirmation and processing.

[0067] The above model processing is related to the model processing logic trained in the model configuration work. In the early model configuration work, after collecting the sample image information, it is necessary to make corresponding annotations according to the recognition requirements of the model (which can be understood as configuring the theoretical model processing results to guide model training), and then carry out specific model training processing. Model training processing usually includes:

[0068] The labeled sample image information (training samples) are input into the model in sequence, so that the model can carry out the corresponding abnormal situation analysis and processing to realize forward propagation. Then, based on the abnormal situation analysis and processing results output by the model, the loss function is calculated in combination with the annotations, and the model parameters are optimized according to the loss function calculation results to realize reverse propagation. In this way, when the preset model training requirements such as training time, number of trainings, and prediction accuracy are met, the model training can be completed, and an abnormal situation analysis model that can be put into practical use can be obtained. It is used to capture subtle abnormal situations that are difficult for humans to perceive and can be reflected from image features through the powerful performance of the AI ​​model, and to assist in promoting high-quality remote delivery processing.

[0069] Among them, for the specific model structure, model training architecture and loss function involved in the training process, you can use the existing solutions, or make further optimizations and improvements on the basis of the existing solutions, or you can use novel self-developed solutions. These are all possible in actual situations.

[0070] Furthermore, for the card swiping device on the unmanned terminal device side, as an exemplary embodiment, the type of identification card adapted by the card swiping device may specifically be an IC card.

[0071] Among them, IC card stands for Integrated Circuit Card.

[0072] The present application believes that, compared with other types of physical cards, IC cards have the advantages of more mature technology and lower application costs, and are therefore more suitable for the implementation of the present application solution in practical applications.

[0073] Furthermore, for the unmanned terminal equipment itself on site, as an exemplary embodiment, the unmanned terminal equipment can also be configured with a ticket recognition device. Similar to the previous card swiping device that can be configured with a card swiping port, the ticket recognition device can be configured with a ticket recognition port (or ticket viewing port) for inserting and placing relevant tickets. The ticket recognition device is used to scan the corresponding ticket information and transmit it to the unmanned terminal equipment or the control host.

[0074] Among them, the bill recognition device can scan and recognize bills, which are usually paper-type bills. In some cases, the specific form of the bill may also change, such as non-paper bills, and bills in picture form (including electronic bills). Therefore, the specific recognition structure of the bill recognition device needs to be pre-configured according to the adapted bill form.

[0075] During the transportation and receipt process, there may be corresponding documents (such as invoices, receipts, etc.) in terms of personnel, vehicles and freight. This can be used as content that can be introduced as details for recording or data processing involved in receipt confirmation.

[0076] For the above content, you can also combine Figure 2 A scenario diagram of the remote goods receipt management system for truck transportation of the present application is shown for a more vivid understanding.

[0077] In addition, as an exemplary embodiment, for the control host in the background, the control host may specifically involve the following determination contents in the process of determining whether to perform receipt confirmation:

[0078] Whether to allow receiving goods at this site;

[0079] Whether to count gross?

[0080] Whether it is in storage;

[0081] Whether it is an intra-market transfer business;

[0082] If at least one item does not apply, the delivery confirmation will be rejected directly.

[0083] It can be understood that the above judgment operations involving several dimensions are not equivalent to all the judgment contents involved in the background judgment of whether to perform receipt confirmation. This is mainly for the purpose of excluding situations that are pre-set as unable to perform receipt confirmation. In this way, the judgment processing of whether to perform receipt confirmation can help to better filter out situations where receipt confirmation cannot be performed, and achieve a faster and more accurate receipt confirmation effect.

[0084] In addition, corresponding to a warehouse environment that is large or has complex on-site conditions, the present application solution may also involve the guidance setting of the path (driving trajectory).

[0085] Specifically, for the control host in the background, as an exemplary embodiment, in the case of receiving confirmation, the control host can also generate corresponding path planning information based on the situation of the motor vehicle, and send the path planning information to the unmanned terminal device;

[0086] The unmanned terminal equipment outputs the path planning information to guide the on-site personnel to walk according to the path planning information and perform the corresponding loading and unloading operations at the target location to realize the delivery scheduling.

[0087] The motor vehicle situation may involve information contained in the identification card information, image information collected by the camera, or description information obtained by the system from monitoring the on-site situation. This is relatively flexible.

[0088] In this way, based on the situation of the motor transport vehicles, a destination point corresponding to the specific delivery processing can be assigned to the motor transport vehicles on site, as well as an adapted path from the current location to the destination point. In this process, the path planning processing carried out by the path planning information can be manually configured or autonomously configured by the control host according to pre-configured path planning strategies / rules.

[0089] Among them, the path planning strategy / rule, in terms of details, can be random planning, planning in a rotation manner, or planning based on adaptation goals such as the shortest path, the smallest optional platform, etc. When it comes to more intelligent path planning needs, the corresponding path planning processing can also be performed through the AI ​​model to achieve more efficient and accurate path planning effects.

[0090] In this way, after obtaining the path planning information adapted to the current situation, it can be sent to the unmanned terminal equipment on site, which will output content and give prompts through a display device or an intercom device, guiding the on-site personnel, i.e., the freight drivers, to walk according to the path planning information and perform corresponding loading and unloading operations at the target location, so as to efficiently and accurately realize the planned delivery scheduling and complete the delivery processing scientifically and intelligently in a large or complex on-site environment.

[0091] In addition, in some cases, in order to facilitate the management of freight vehicles and facilitate fixed-point docking, corresponding release devices can also be deployed on the warehouse site. The release devices are usually configured in the form of common parking lot barriers, such as straight bar barriers, curved bar barriers, fence barriers, etc., which may involve corresponding transmission structures to switch the vehicle release status. In addition, the release device may also involve other types of structures, which can be configured according to specific needs in actual applications.

[0092] On this basis, as an exemplary embodiment, the unmanned terminal equipment on site can also be configured with a release device. When confirming receipt of the goods, the unmanned terminal equipment can also switch the vehicle release status of the release device to allow the vehicle to pass.

[0093] It can be understood that when the receipt is confirmed, the freight vehicle can be released to pass, and the specific receipt processing is promoted according to the given path planning information, which strengthens the warehouse site's management function for vehicles.

[0094] At the same time, for the database-based recording / archiving processing of the background control host, this application takes into account the subsequent situation tracing / backtracking needs, and also configures a more sophisticated implementation plan to further improve the user experience.

[0095] Specifically, for the background control host, as an exemplary embodiment, the control host records in the database the information involved in the remote delivery processing task during the task processing, which may include:

[0096] 1. The control host analyzes the basic characteristics of the remote receiving processing task and the process characteristics during the task processing;

[0097] It can be understood that in the embodiments herein, the present application takes into account the settings of classification records and storage, which may involve the analysis of classification features to achieve the purpose of classification.

[0098] Specifically, this application classifies the features involved in different remote delivery processing tasks into two parts, one is the basic features of the task, and the other is the process features in the task processing process. The former can be understood as task attributes, which is a static feature used to characterize the basic situation of the task from different dimensions and is relatively fixed. The latter is a dynamic feature used to characterize the task execution process from different dimensions. Even if the remote delivery processing tasks are exactly the same, this application believes that there may be differences in the specific processing process. Therefore, when tracing the situation later, it can be based on these two aspects of the characteristics to be carried out in a more delicate and fine-grained manner.

[0099] 2. Control the host and task basic characteristics and process characteristics to classify remote delivery processing tasks;

[0100] It can be understood that after the basic characteristics of the task and the process characteristics are determined, the different basic characteristics of the task and the different process characteristics involved in the database can be classified and divided into specific categories to obtain the task classification results. For example, corresponding category labels can be assigned to locate the specific task category in the form of assigned labels.

[0101] 3. Based on the task classification results, the control host classifies and records the information involved in the remote delivery processing task during the task processing in the database.

[0102] After determining the task classification result of the current remote goods receipt processing task, the sorted information involved in the task processing process of this remote goods receipt processing task can be classified, recorded and stored.

[0103] In this way, when there is a need to trace the situation of specific task characteristics in the future, the relevant information of the corresponding historical remote receipt processing task can be directly found according to the task classification result. Alternatively, when there is a need to trace the situation of a specific task in the future, when the task classification result or classification record form determined at the time of the historical remote receipt processing task is checked, the relevant situation of the remote receipt processing task can be quickly learned. In actual applications, this is more beneficial for some users / devices with special situation determination needs, which is convenient for faster search and positioning, and also convenient for quick determination of relevant situations.

[0104] The above is an introduction to the remote goods receipt management system for automobile transportation of the present application. The present application also provides a processing method for the remote goods receipt management system for automobile transportation on the basis of the remote goods receipt management system for automobile transportation. The processing method for the remote goods receipt management system for automobile transportation is applied to the remote goods receipt management system for automobile transportation. The remote goods receipt management system for automobile transportation includes an unmanned terminal device deployed at the warehouse site and a control host deployed at the background. The unmanned terminal device is configured with an intercom device, a display device, a camera and a card swiping device, such as Figure 3 A flow chart of the remote goods receipt management system for automobile transportation of the present application is shown. The processing method of the remote goods receipt management system for automobile transportation provided by the present application may specifically include the following steps S301 to S304:

[0105] Step S301, detecting whether the card swiping device recognizes the identification card information of the corresponding freight driver;

[0106] Step S302: If the identification card information is recognized, the unmanned terminal device sends the image information collected by the camera and a remote delivery request to the control host, wherein the remote delivery request carries the identification card information;

[0107] Step S303, after receiving the remote delivery request, the control host initiates a remote delivery processing task, determines whether to confirm the delivery based on the image information, and during the determination process, the AI ​​robot or the backstage personnel communicates with the on-site personnel based on both the intercom device and the display device;

[0108] Step S304: if the goods receipt is confirmed, the control host records the information involved in the remote goods receipt processing task in the task processing process in the database for subsequent tracing.

[0109] In an exemplary embodiment, the camera specifically includes a first camera for capturing license plate images and a second camera for capturing images of the interior of the vehicle. Both the first camera and the second camera are configured with a perspective adjustment structure to adjust to a corresponding perspective upon receiving a perspective control instruction transmitted from a control host. The perspective control instruction is generated by an unmanned terminal device or a control host.

[0110] In yet another exemplary embodiment, the type of identification card adapted by the card swiping device is specifically an IC card.

[0111] In another exemplary embodiment, the unmanned terminal device is further configured with a ticket recognition device, which is used to scan corresponding ticket information and transmit it to the unmanned terminal device or the control host.

[0112] In another exemplary embodiment, the control host, during the determination process, specifically involves the following determination contents:

[0113] Whether to allow receiving goods at this site;

[0114] Whether to count gross?

[0115] Whether it is in storage;

[0116] Whether it is an intra-market transfer business;

[0117] If at least one item does not apply, the delivery confirmation will be rejected directly.

[0118] In yet another exemplary embodiment, when performing receipt confirmation, the method further includes:

[0119] The control host generates corresponding path planning information based on the situation of the motor vehicle, and sends the path planning information to the unmanned terminal device;

[0120] The unmanned terminal equipment outputs the path planning information to guide the on-site personnel to walk according to the path planning information and perform the corresponding loading and unloading operations at the target location to realize the delivery scheduling.

[0121] In another exemplary embodiment, the unmanned terminal device is further configured with a release device, and the method further includes:

[0122] When confirming receipt, the unmanned terminal equipment switches the vehicle release status of the release device to allow the vehicle to pass.

[0123] In another exemplary embodiment, the control host records in a database information related to the remote goods receipt processing task during the task processing process, including:

[0124] The control host analyzes the basic characteristics of the remote goods receipt processing task and the process characteristics during the task processing;

[0125] Control host and task basic characteristics and process characteristics to classify remote receiving processing tasks;

[0126] Based on the task classification result, the control host classifies and records the information involved in the remote goods receipt processing task during the task processing in the database.

[0127] Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process of the processing method of the above-described automobile transportation remote receiving management system can refer to the following. Figure 1 The description of the remote goods receiving management system for automobile transportation in the corresponding embodiment will not be repeated here.

[0128] A person of ordinary skill in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be completed by instructions, or by controlling related hardware through instructions. The instructions may be stored in a computer-readable storage medium and loaded and executed by a processor.

[0129] To this end, the present application provides a computer-readable storage medium, in which a plurality of instructions are stored, and the instructions can be loaded by a processor to execute the present application as follows: Figure 3 The steps of the processing method of the automobile transport remote goods receiving management system in the corresponding embodiment, the specific operation can refer to the following Figure 3 The description of the processing method of the automobile remote receiving management system in the corresponding embodiment will not be repeated here.

[0130] The computer-readable storage medium may include: a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0131] Due to the instructions stored in the computer-readable storage medium, the present application can be executed. Figure 3 The steps of the processing method of the automobile transport remote receiving management system in the corresponding embodiment, therefore, the present application can be implemented as follows Figure 3 The beneficial effects that can be achieved by the processing method of the automobile remote goods receipt management system in the corresponding embodiment are detailed in the previous description and will not be repeated here.

[0132] The above is a detailed introduction to the remote truck receipt management system, the processing method of the remote truck receipt management system and the computer-readable storage medium provided by the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A remote goods receiving management system for automobile transportation, characterized in that: The truck transport remote goods receiving management system includes an unmanned terminal device deployed at the warehouse site and a control host deployed at the background. The unmanned terminal device is equipped with an intercom device, a display device, a camera and a card swiping device; Detecting whether the card swiping device recognizes the identification card information of the corresponding freight driver; If the identification card information is recognized, the unmanned terminal device sends the image information collected by the camera and a remote delivery request to the control host, wherein the remote delivery request carries the identification card information; The control host initiates a remote delivery processing task after receiving the remote delivery request, determines whether to confirm the delivery based on the image information, and during the determination process, the AI ​​robot or the backstage personnel communicates with the on-site personnel based on both the intercom device and the display device; If receipt confirmation is performed, the control host records the information involved in the remote receipt processing task during the task processing in the database for subsequent tracing.

2. The truck transport remote goods receiving management system according to claim 1 is characterized in that: The camera specifically includes a first camera for capturing license plate images and a second camera for capturing images of the interior of the vehicle. The first camera and the second camera are both configured with a viewing angle adjustment structure to adjust to a corresponding viewing angle upon receiving a viewing angle control instruction transmitted from the control host. The viewing angle control instruction is generated by the unmanned terminal device or the control host.

3. The truck transport remote goods receiving management system according to claim 1 is characterized in that: The type of identification card adapted by the card swiping device is specifically an IC card.

4. The truck transport remote goods receiving management system according to claim 1 is characterized in that: The unmanned terminal device is also equipped with a ticket recognition device, which is used to scan the corresponding ticket information and transmit it to the unmanned terminal device or the control host.

5. The truck transport remote goods receiving management system according to claim 1 is characterized in that: The control host specifically involves the following determination contents during the determination process: Whether to allow receiving goods at this site; Whether to count gross? Whether it is in storage; Whether it is an intra-market transfer business; If at least one item does not apply, the delivery confirmation will be rejected directly.

6. The truck transport remote goods receiving management system according to claim 1 is characterized in that: In the case of receiving confirmation, the control host also generates corresponding path planning information based on the situation of the motor vehicle, and sends the path planning information to the unmanned terminal device; The unmanned terminal device outputs the path planning information to guide the on-site personnel to walk according to the path planning information and perform corresponding loading and unloading operations at the target location to achieve delivery scheduling.

7. The truck transport remote goods receiving management system according to claim 6, characterized in that: The unmanned terminal device is also equipped with a release device. When confirming receipt of the goods, the unmanned terminal device also switches the vehicle release state of the release device to allow the vehicle to pass.

8. The truck transport remote goods receiving management system according to claim 1 is characterized in that: The control host records in the database the information involved in the remote delivery processing task during the task processing, including: The control host analyzes the basic characteristics of the remote delivery processing task and the process characteristics during the task processing; The control host classifies the remote goods receipt processing task according to the task basic characteristics and the process characteristics; The control host classifies and records the information involved in the remote delivery processing task during the task processing in the database based on the task classification result.

9. A processing method for a truck transport remote goods receiving management system, characterized in that: The processing method of the remote goods receipt management system for automobile transportation is applied to the remote goods receipt management system for automobile transportation. The remote goods receipt management system for automobile transportation includes an unmanned terminal device deployed at the warehouse site and a control host deployed at the background. The unmanned terminal device is equipped with an intercom device, a display device, a camera and a card swiping device. The processing method of the remote goods receipt management system for automobile transportation includes: Detecting whether the card swiping device recognizes the identification card information of the corresponding freight driver; If the identification card information is recognized, the unmanned terminal device sends the image information collected by the camera and a remote delivery request to the control host, wherein the remote delivery request carries the identification card information; The control host initiates a remote delivery processing task after receiving the remote delivery request, determines whether to confirm the delivery based on the image information, and during the determination process, the AI ​​robot or the backstage personnel communicates with the on-site personnel based on both the intercom device and the display device; If receipt confirmation is performed, the control host records the information involved in the remote receipt processing task during the task processing in the database for subsequent tracing.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a plurality of instructions, wherein the instructions are suitable for being loaded by a processor to execute the method of claim 9.

Images