Goods viewing method, device and equipment for digital warehouse park, and medium

Abstract

The embodiment of the invention discloses a digital warehouse park goods watching method, device and equipment and a medium, relates to the technical field of intelligent monitoring, and is used for solving the problems that an existing pledge goods watching mode is high in labor cost and poor in real-time performance. The method comprises the following steps: drawing a digital fence of a current digital warehouse park according to pledge cargo storage information and building environment data of the current digital warehouse park; acquiring video image data in the area of the digital fence so as to identify current cargo information corresponding to the video image data; and comparing the warehousing cargo information corresponding to the digital fence with the current cargo information, determining cargo change data, and generating a real-time cargo watching prompt according to the cargo change data.

Description

Technical Field

[0001] This specification relates to the technical field of intelligent monitoring, and particularly to a method, device, and medium for inspecting goods in a digital warehouse park. Background Art

[0002] Under the background of the deep integration of modern logistics and finance, the pledge supervision business has developed rapidly. As a new model for storing and managing goods, digital warehouses bear the important responsibility of ensuring the safety of pledged goods and accurately recording goods information. Currently, with the continuous increase in the types and quantities of goods, the supervision requirements of financial institutions for pledged goods are becoming increasingly strict.

[0003] In traditional warehouse management methods, goods inspection is generally carried out based on manual inspections or assisted management by monitoring devices. However, based on the method of warehouse management personnel regularly conducting on-site inspections in the warehouse, observing the quantity, appearance, storage location, etc. of goods with the naked eye and manually recording relevant information, it requires a large amount of time and manpower. Especially in large digital warehouse parks, where the goods storage area is extensive and the types of goods are numerous, the process of staff checking goods one by one is very time-consuming, and it is difficult to achieve high-frequency and full-range monitoring. Moreover, when problems occur with the goods, it is difficult for staff to detect them in a timely manner, and there is often a time difference from the occurrence of the problem to its discovery, which may lead to the further deterioration of the problem and cause greater losses to the enterprise. For the method of assisted management by monitoring devices, since it cannot automatically identify goods information and analyze changes in the state of goods, it requires monitoring personnel to spend a lot of time viewing and screening useful information, and it is difficult to quickly and accurately detect abnormal situations of goods. And it has a lag, making it difficult to be effectively utilized to provide support for real-time warehouse management and decision-making. Summary of the Invention

[0004] To solve the above technical problems, one or more embodiments of this specification provide a method, device, equipment, and medium for inspecting goods in a digital warehouse park.

[0005] One or more embodiments of this specification adopt the following technical solutions:

[0006] One or more embodiments of this specification provide a method for inspecting goods in a digital warehouse park, the method comprising:

[0007] Drawing a digital fence of the current digital warehouse park according to the storage information of the pledged goods and the building environment data of the current digital warehouse park;

[0008] Obtaining video image data within the area of the digital fence to identify the current goods information corresponding to the video image data;

[0009] Compare the warehousing goods information corresponding to the digital fence with the current goods information to determine the goods change data, so as to generate a real-time goods inspection reminder according to the goods change data.

[0010] Optionally, in one or more embodiments of the present specification, according to the storage information of the pledged goods and the building environment data of the current digital warehouse park, draw the digital fence of the current digital warehouse park, specifically including:

[0011] Determine the tight digital fence area and the non-tight digital fence area according to the pledged goods storage data and the building environment data;

[0012] Associate the pledged goods storage data and the corresponding warehousing goods information with the corresponding tight digital fence area or non-tight digital fence area to obtain the initial digital fence;

[0013] Generate a drawing task corresponding to the initial digital fence, and process the drawing task based on the drawing terminal to determine the digital fence of the current digital warehouse park.

[0014] Optionally, in one or more embodiments of the present specification, generating a drawing task corresponding to the initial digital fence, and processing the drawing task based on the drawing terminal to determine the digital fence of the current digital warehouse park, specifically including:

[0015] Divide each digital fence area according to the connected area data corresponding to the tight digital fence area and the pledged object of each connected area, and the connected area data corresponding to the non-tight digital fence area and the pledged object of each connected area;

[0016] Store the divided digital fence sub-areas into the corresponding storage files respectively, and generate drawing tasks corresponding to each storage file;

[0017] Synchronize each of the drawing tasks to the drawing terminals corresponding to the pledged objects of the goods, and determine multiple groups of collaborative drawing terminals according to the response data of each drawing terminal to the drawing task;

[0018] Determine the digital fence of the current digital warehouse park according to the processing of the drawing task by multiple groups of collaborative drawing terminals.

[0019] Optionally, in one or more embodiments of the present specification, before obtaining the video image data within the area of the digital fence, the method further includes:

[0020] Determine the digital fence area corresponding to each monitoring device according to the intersection of the monitoring ranges of each monitoring device in the current digital warehouse park and each digital fence area;

[0021] Connect each of the monitoring devices to the data transmission interface of the corresponding digital fence, so as to call the video image data of each digital fence area within the digital fence based on the data transmission interface.

[0022] Optionally, in one or more embodiments of this specification, obtaining the video image data within the area of the digital fence to identify the current cargo information corresponding to the video image data specifically includes:

[0023] Obtain the video image data within the digital fence area, and preprocess the video image data to obtain contour data, so as to determine the current cargo quantity based on the contour data;

[0024] Input the video image data into a preset deep learning model to obtain the current cargo appearance information corresponding to the video image data; wherein, the preset deep learning model has a plurality of classification layers, and the plurality of classification layers are determined based on the goods inspection conditions corresponding to the current digital warehouse park.

[0025] Determine the current cargo information corresponding to the video image data according to the current cargo quantity and the current cargo appearance information.

[0026] Optionally, in one or more embodiments of this specification, compare the inbound cargo information corresponding to the digital fence with the current cargo information to determine the cargo change data, specifically including:

[0027] Compare the inbound cargo information corresponding to the digital fence with the current cargo information to determine the initial cargo change data;

[0028] Determine the corresponding allowable change range according to the attributes corresponding to the initial cargo change data, and filter the initial cargo change data based on the allowable change range to obtain the cargo change data.

[0029] Optionally, in one or more embodiments of this specification, generating a real-time goods inspection reminder according to the cargo change data specifically includes:

[0030] If it is determined that there is cargo change data, trigger the goods inspection reminder event of the current digital warehouse park;

[0031] Determine the goods inspection reminder template corresponding to the goods inspection reminder event according to the attributes corresponding to the cargo change data;

[0032] Based on the matching relationship between each placeholder in the goods inspection reminder template and the cargo change data, automatically fill in the cargo change data to obtain the goods inspection reminder information, so as to send the goods inspection reminder information to the corresponding supervision terminal.

[0033] One or more embodiments of this specification provide a goods inspection device for a digital warehouse park, and the device includes:

[0034] A drawing unit, configured to draw a digital fence of the current digital warehouse park according to the pledged goods storage information and the building environment data of the current digital warehouse park;

[0035] An identification unit, configured to obtain video image data within the area of the digital fence to identify the current goods information corresponding to the video image data;

[0036] A reminder unit, configured to compare the incoming goods information corresponding to the digital fence with the current goods information to determine goods change data, and generate a real-time goods inspection reminder according to the goods change data.

[0037] One or more embodiments of this specification provide a goods inspection device for a digital warehouse park, and the device includes:

[0038] At least one processor; and,

[0039] A memory communicatively connected to the at least one processor; wherein,

[0040] The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can: execute any one of the above methods.

[0041] A non-volatile computer storage medium provided by one or more embodiments of this specification stores computer-executable instructions, and the computer-executable instructions are configured to: be able to execute any one of the above methods.

[0042] One or more of the above technical solutions adopted by the embodiments of this specification can achieve the following beneficial effects:

[0043] Drawing a digital fence according to the pledged goods storage information and the park building environment data can accurately divide exclusive management areas for the pledged goods, making the goods management more targeted and accurate, and facilitating centralized monitoring and management of the goods in a specific area. Obtaining video image data within the area of the digital fence to identify the current goods information helps to accurately and efficiently obtain the relevant status of the goods. In addition, by comparing the incoming goods information and the current goods information to determine the goods change data and generating a real-time goods inspection reminder, it can reflect the dynamic changes of the goods in real time, help to discover potential problems in a timely manner, and ensure the security of the pledged assets. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] To more clearly illustrate the technical solutions in the embodiments of this specification or the prior art, the following will briefly introduce the accompanying drawings required for use in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only some embodiments recorded in this specification. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings. In the drawings:

[0045] Figure 1 It is a schematic flowchart of a method for inspecting goods in a digital warehouse park provided by an embodiment of this specification;

[0046] Figure 2 It is a schematic structural diagram of a device for inspecting goods in a digital warehouse park provided by an embodiment of this specification;

[0047] Figure 3 It is a schematic structural diagram of a device for inspecting goods in a digital warehouse park provided by an embodiment of this specification;

[0048] Figure 4 It is a schematic structural diagram of a non-volatile storage medium provided by an embodiment of this specification. Detailed implementation manners

[0049] The embodiments of this specification provide a method, device, equipment, and medium for inspecting goods in a digital warehouse park.

[0050] To enable those skilled in the art to better understand the technical solutions in this specification, the following will clearly and completely describe the technical solutions in the embodiments of this specification in conjunction with the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only some embodiments of this specification, rather than all embodiments. Based on the embodiments of this specification, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of this specification.

[0051] As Figure 1 shown, the embodiments of this specification provide a schematic flowchart of a method for inspecting goods in a digital warehouse park. As Figure 1 can be seen, in one or more embodiments of this specification, a method for inspecting goods in a digital warehouse park includes:

[0052] S101: Draw a digital fence of the current digital warehouse park according to the pledged goods storage information and the building environment data of the current digital warehouse park.

[0053] In traditional warehouse management, there are certain difficulties in supervising pledged goods, especially in larger parks, where it is difficult to accurately monitor the safety of goods in real time. In addition, there may be many different types of business activities and areas in the park, such as warehouse storage areas, office areas, loading and unloading areas, etc. If there is no clear boundary division, it may lead to irrational use of resources or scheduling confusion. Therefore, in the embodiments of this specification, based on the storage information of the pledged goods and the architectural environment data of the current digital warehouse park, a digital fence that can clearly define the protection scope of the pledged goods is drawn. Compared with traditional manual patrols or simple physical fences, it can achieve real-time and all-round monitoring, which helps prevent the pledged goods from being stolen or illegally misappropriated, and ensures the safety of the pledged assets.

[0054] Specifically, in one or more embodiments of the present specification, drawing a digital fence of the current digital warehouse park according to the pledged goods storage information and the building environment data of the current digital warehouse park specifically includes:

[0055] Firstly, in order to achieve the focused supervision of high-value goods and goods with special regulatory requirements, in the embodiment of this specification, a tight digital fence area and a non-tight digital fence area are determined based on the pledged goods storage data and the building environment data.

[0056] Specifically, the division process of the tight digital fence area and the non-tight digital fence area in a certain application scenario can be: determine the fence coverage according to the storage location and building environment data of the pledged goods storage data. For example: the storage area data and channel building data of the current digital warehouse park can be determined based on the building environment data of the current digital warehouse park. The storage area data includes information such as the location, area, number of floors, etc. of each warehouse, and the channel building data covers the layout and width of roads and aisles in the park. Then, based on the storage area data and channel building data corresponding to the pledged goods storage data, determine the fence coverage of the goods storage area. For example, in a certain scenario, the pledged goods are concentrated in several cargo spaces in the west warehouse, then the fence coverage will be defined around the preset boundary distance of the warehouse and the surrounding related channels to ensure the independence and security of the area. Then, because different pledged goods value types reflect their importance and risk level, some high-value, easily damaged or pledged goods with special regulatory requirements will have higher value types and need to be supervised and inspected. Therefore, in the embodiment of this specification, the fence coverage area will be further divided into a tight digital fence area and a non-tight digital fence area according to the value type of each pledged goods in the pledged goods storage data. Among them, the tight digital area is used to protect pledged goods with higher value types.

[0057] Then, in order to establish the correspondence between the goods information and the specific fenced area for subsequent targeted management and monitoring of the goods in different areas, the pledged goods storage data, the incoming goods information corresponding to the pledged goods storage data, will be associated with the corresponding tight digital fence area or non-tight digital fence area, thereby obtaining the initial digital fence. Then, a drawing task corresponding to the initial digital fence is generated to process the drawing task based on the drawing terminal to determine the digital fence of the current digital warehouse park.

[0058] In this process, by combining the storage location of the pledged goods with the building environment data to determine the fence coverage, the area that needs to be protected can be accurately delineated. In addition, by dividing the tight digital fence area and the non-tight digital fence area, hierarchical security management is achieved. For goods with high value, easy to be damaged or having special supervision requirements, a more stringent tight digital fence area is set for key supervision. This enables the reasonable allocation of security resources, provides more stringent protection for high-risk goods, and at the same time, the basic security management can be maintained in the ordinary goods area. The process of constructing the digital fence integrates the pledged goods storage data and the building environment data, establishing a close connection between various types of data. Based on the drawing task and further editing on the drawing terminal on the basis of the initial digital fence to obtain the digital fence, the personalized customization of the digital fence is realized, and the further refinement of the digital fence boundary is also achieved, avoiding management loopholes caused by unclear boundaries and improving the overall efficiency.

[0059] Furthermore, in one or more embodiments of the present specification, generating the drawing task corresponding to the initial digital fence to process the drawing task based on the drawing terminal to determine the digital fence of the current digital warehouse park specifically includes:

[0060] In a large digital warehouse park, various types of pledged goods are distributed in different areas. Without a reasonable organization and storage method, the data will become chaotic and disorderly, making it difficult to quickly and accurately obtain the required information. Therefore, in the embodiments of this specification, according to the connected area data corresponding to the tight digital fence area and the pledged object of each connected area, as well as the connected area data corresponding to the ordinary digital fence area and the pledged object of each connected area, each digital fence area is divided. Then, the divided digital fence sub-areas are respectively stored in the corresponding storage files. Among them, the connected area data is data such as the spatial position information, boundary shape data, and area data corresponding to the interconnected areas. Then, a drawing task corresponding to each storage file is generated, so as to synchronize each drawing task to the drawing terminal corresponding to the pledged object. In the distribution of the drawing tasks of the digital fence in the digital warehouse park, each storage file corresponds to the drawing information of a specific digital fence sub-area. Therefore, the system will determine multiple groups of collaborative drawing terminals according to the response data of the drawing terminals to the drawing tasks, that is, the drawing terminals corresponding to the same storage file are used as the collaborative drawing terminals to determine multiple groups of collaborative drawing terminals. Such a grouping method helps to centrally manage and coordinate the drawing work for the same sub-area and improve the efficiency of digital fence drawing. Then, according to the processing of the drawing tasks by multiple groups of collaborative drawing terminals, the digital fence of the current digital warehouse park is determined.

[0061] In this process, the digital fence area is subdivided and stored separately, and then the drawing tasks of each area are sent to the relevant drawing terminals, enabling relevant personnel to visually see the digital fence of the area they are responsible for on the terminal, enhancing the visualization of management. And through the further processing and division of the digital fence area by multiple groups of collaborative drawing terminals, the refined management of the areas where different pledged objects are located is realized, which helps each drawing terminal to further correct the boundary of the digital fence.

[0062] Specifically, in a feasible embodiment of this specification, according to the connected area data corresponding to the tight digital fence area and the pledged object of each connected area, as well as the connected area data corresponding to the non-tight digital fence area and the pledged object of each connected area, each digital fence area is divided to store the divided digital fence sub-areas into the corresponding storage files respectively, which can be realized based on the following methods:

[0063] First, determine the first data storage space corresponding to the tight digital fence area and the second data storage space corresponding to the ordinary digital fence area. Then, divide the tight digital fence area according to the connected area data corresponding to the tight digital fence area and the goods pledge objects of each connected area to obtain multiple first sub-areas, and create storage files corresponding to each first sub-area in the first data storage space. For example, divide the tight digital fence area into several specific sub-areas according to the connected areas where different types of high-value pledged goods are located. Then, determine the first data storage space specifically used to store information related to the tight digital fence area, and create corresponding storage files for each first sub-area in this space to store the detailed information of the sub-area, such as the list of goods pledge objects in the sub-area, the specific parameters of the connected area, etc. Similarly, divide the ordinary digital fence area according to the connected area data corresponding to the ordinary digital fence area and the goods pledge objects of each connected area to obtain multiple second sub-areas, and create storage files corresponding to each of the second sub-areas in the second data storage space.

[0064] Further, in a feasible embodiment of this specification, based on the processing of the drawing task by multiple groups of collaborative drawing terminals, the digital fence of the current digital warehouse park can be determined through the following process:

[0065] When each collaborative drawing terminal performs a drawing task, its operation will be recorded with a timestamp. The system uses these timestamps to sort the drawing operations, thereby generating a drawing operation sequence arranged in chronological order for each drawing task. This ensures that the drawing operations can be sorted out in the order in which they actually occur, facilitating the subsequent accurate processing and integration of the operations. For example, if three collaborative drawing terminals draw the same sub-area, the timestamp can clearly show which terminal performed which operation first and which operation occurred later, making the entire drawing process orderly. Since there may be a problem of line drawing conflict when multiple drawing terminals perform drawing operations, in order to correct the conflicting operations in time during the drawing process and ensure the accuracy of the drawing, the drawing operation conflicts within the drawing operation sequence will be determined based on the drawing starting position and drawing line type corresponding to each drawing operation, so that the drawing operations corresponding to the drawing operation conflicts are returned to the corresponding collaborative drawing terminal for secondary confirmation and the drawing operation sequence is updated. That is, when two drawing operations attempt to draw different types of lines at the same location, or one drawing operation covers the predetermined drawing area of ​​another operation, it is determined to be a conflict. Once a conflict is found, the system returns the conflicting drawing operations to the corresponding collaborative drawing terminal. The operator can reconfirm the conflicting operations according to the actual situation, such as choosing which operation to keep, modifying the operation content or adjusting the operation order, and then update the drawing operation sequence. After resolving the drawing operation conflict and updating the drawing operation sequence, the system executes the updated drawing operation sequence in sequence. By executing each operation in the sequence one by one, each drawing task is completed, so as to obtain the drawing results corresponding to each drawing task. Since the drawing results of each drawing task have specific spatial position information within the initial fence area. Therefore, based on this spatial position information, the drawing results of each drawing task can be spatially aligned to obtain the digital fence of the current digital warehouse park.

[0066] In this process, the drawing terminals corresponding to the same storage file are identified as collaborative drawing terminals, and the working scope and collaborative relationship of each drawing terminal are clarified. This grouping method enables the drawing work for the same sub-area to be carried out in an orderly manner, and the collaboration between the terminals is smoother. By sorting the drawing operations by timestamp, and carefully checking and handling the conflicts between the drawing start position and the line type, errors caused by confusing operation sequences or overlapping drawing can be effectively avoided. This ensures that the drawing results of each digital fence sub-area are accurate, thereby ensuring the accuracy of the digital fence of the entire digital warehouse park. Spatially aligning the drawing results of each drawing task based on the spatial position information can accurately integrate the drawing results of each sub-area to form a complete digital fence of the digital warehouse park. The spatial continuity and integrity of the digital fence are guaranteed, and the omission or dislocation of the drawing area is avoided.

[0067] S102: Obtain the video image data within the area of the digital fence to identify the current cargo information corresponding to the video image data.

[0068] The digital fence defines a specific monitoring area within the digital warehouse park. The system continuously obtains the video image data within this area through video acquisition devices such as cameras deployed in the area. These devices are reasonably placed at positions that can cover all corners of the digital fence area to ensure comprehensive capture of the activity pictures occurring within the area. Therefore, after obtaining the video image data within the area of the digital fence, the video image data can be processed based on image recognition algorithms to identify the current cargo information related to the goods. In this process, the video image data within the digital fence area is obtained in real time and the cargo information is identified, enabling warehouse managers to understand the dynamics of the goods in real time. Whether it is the normal inbound and outbound operations of the goods or possible abnormal situations, they can be discovered in a timely manner.

[0069] Furthermore, in one or more embodiments of this specification, before obtaining the video image data within the area of the digital fence, the method further includes the following process:

[0070] In order to be able to quickly obtain the data collected by the corresponding monitoring devices when it is necessary to view the video image data of a certain digital fence area and improve the efficiency of data acquisition. In the embodiments of this specification, the digital fence areas corresponding to each monitoring device are determined according to the intersection of the monitoring ranges of each monitoring device within the current digital warehouse park and each digital fence area. That is, the monitoring devices corresponding to the digital fences can be determined according to the positions corresponding to the digital fences and the monitoring ranges of each monitoring device within the current digital warehouse park, so as to ensure that each digital fence area can be covered by a suitable monitoring device and at the same time avoid waste of monitoring resources. Then, according to the intersection of the monitoring ranges of each monitoring device and the intersection of the tight digital fence area and the ordinary digital fence area within the digital fence, the digital fence areas corresponding to each monitoring device are determined, so that the monitoring devices can accurately collect data for different security-level digital fence areas. Then, each monitoring device is connected to the data transmission interface corresponding to the digital fence, so as to call the video image data of each digital fence area within the digital fence based on the data transmission interface.

[0071] Specifically, in one or more embodiments of this specification, obtaining the video image data within the area of the digital fence to identify the current cargo information corresponding to the video image data specifically includes:

[0072] In order to quickly extract key information from complex images, video image data within the digital fence area is acquired, and the video image data is preprocessed to obtain contour data, so as to determine the current quantity of goods based on the contour data. Specifically, first, based on the acquisition frequency of each digital fence area corresponding to the digital fence, the initial video image data collected by the corresponding monitoring device is obtained; among them, it can be understood that high-value and high-risk goods may be stored in the tight digital fence area, so the acquisition frequency of the tight digital fence area is greater than that of the ordinary digital fence area. This differential setting can not only ensure the close monitoring of goods in important areas, but also avoid excessive data acquisition in ordinary areas, thus reasonably allocating the resources of monitoring devices, reducing the data processing cost while ensuring the monitoring effect. Then, according to the bounding box corresponding to the digital fence, the foreground image of the initial video image data is framed as the video image data, reducing the interference of irrelevant background information, improving the subsequent processing efficiency, and at the same time reducing the burden of data storage and transmission. The above video image data is binarized to identify the contour data of the video image data according to the binarized image, and the current quantity of goods is determined according to the contour data.

[0073] The video image data is input into a pre-set deep learning model to obtain the current appearance information of the goods corresponding to the video image data; among them, it should be noted that the pre-set deep learning model has multiple classification layers, and the multiple classification layers are determined based on the goods inspection conditions corresponding to the current digital warehouse park. Then, by combining the current quantity of goods with the current appearance information of the goods, the current goods information corresponding to the video image data is comprehensively determined, providing comprehensive and reliable data support for subsequent goods inspection.

[0074] Among them, in a certain application scenario, the foreground image of the initial video image data is selected as the video image data according to the bounding box corresponding to the digital fence, which is specifically implemented through the following process: Based on the bounding box corresponding to the digital fence, an area that may contain the target goods is initially extracted from the initial video image data to obtain the first foreground image data. This realizes a rough screening of the initial video image data, delimits the range that needs to be focused on, and removes most of the background areas irrelevant to the goods. Then, the first foreground image data is input into a preset mask image to obtain the second foreground image data. By traversing to obtain the pixel neighborhood of each pixel point in the second foreground image, that is, traversing each pixel point in the second foreground image, and determining its pixel neighborhood with each pixel point as the center. Thus, a corresponding weight matrix is determined according to the distances between the pixel points in the pixel neighborhood and the central pixel point. The obtained weight matrix is used for weighted calculation with the pixel values in the pixel neighborhood. Through this weighted operation, a separation threshold is determined for each pixel point. This threshold will be used to judge whether the pixel point belongs to the foreground or the background. Based on the previously determined separation threshold, each pixel point in the second foreground image data is judged and filtered. If the value of a certain pixel point meets the condition of the separation threshold, the pixel point is retained, otherwise it is discarded, realizing the filtering of each pixel point in the second foreground image data to obtain the foreground image data of the initial video image data.

[0075] By initially determining the foreground range through the bounding box and further optimizing it in combination with the preset mask image, it is possible to more accurately extract the foreground image containing the goods from the complex initial video image, effectively reducing background interference and making the subsequent recognition of goods information more accurate. By filtering pixel points to remove background noise, the foreground image becomes clearer and cleaner, improving the quality of the image. The high-quality foreground image has a positive effect on subsequent tasks such as counting the number of goods and recognizing appearance information based on the image, and can improve the accuracy and stability of the recognition algorithm.

[0076] S103: Compare the inbound goods information corresponding to the digital fence with the current goods information to determine the goods change data, so as to generate a real-time viewing reminder according to the goods change data.

[0077] In order to be able to compare the inbound and current goods information in real time, promptly detect changes in aspects such as the quantity and appearance of the goods, quickly discover anomalies such as missing, damaged, or misplaced goods, and facilitate the management personnel to take measures for handling in a timely manner to reduce the risk of losses. In the embodiments of this specification, the inbound goods information corresponding to the digital fence will be compared with the current goods information identified and obtained in step S102 above, so as to determine whether the goods have changed, and thus generate a real-time viewing reminder according to the goods change data in a timely manner. Ensure that the inventory records are consistent with the actual goods situation, avoid problems such as out-of-stock and overstock caused by inventory data errors, and improve the accuracy and efficiency of inventory management.

[0078] Specifically, in one or more embodiments of this specification, compare the incoming goods information corresponding to the digital fence with the current goods information to determine the goods change data, which specifically includes the following process:

[0079] First, compare the incoming goods information corresponding to the digital fence with the current goods information to determine the initial goods change data. Then, in order to eliminate invalid data caused by normal errors or minor fluctuations and accurately screen out truly meaningful goods change situations, the corresponding allowable range of changes will be determined according to the attributes corresponding to the initial goods change data, and based on the allowable range of changes, the initial goods change data will be filtered to obtain the goods change data. By determining the allowable range of changes according to different attributes, different standards can be set for different types and characteristics of goods, flexibly adapting to the diverse goods management needs in the digital warehouse, and then filtering out the normal change data within the allowable range, making the final goods change data more capable of reflecting the real changes of the goods, avoiding misjudgment, improving the reliability of the data, and providing a more accurate basis for generating real-time goods inspection reminders subsequently.

[0080] Specifically, in one or more embodiments of this specification, generate a real-time goods inspection reminder according to the goods change data, which specifically includes the following process:

[0081] If it is determined that there is goods change data after comparison, then the goods inspection reminder event of the current digital warehouse park will be triggered. At this time, according to the attributes corresponding to the goods change data, determine the goods inspection reminder template corresponding to the goods inspection reminder event. Then, according to the matching relationship between each placeholder in the goods inspection reminder template and the goods change data, automatically fill in the goods change data to obtain the goods inspection reminder information, so as to send the goods inspection reminder information to the corresponding supervision terminal. In this process, when it is determined that there is goods change data, the goods inspection reminder event can be automatically triggered, and the template is determined according to the attributes and the reminder information is generated by automatically filling in the data, which facilitates the remote supervisors to quickly understand the key information of the goods change and is convenient for making corresponding decisions in a timely manner. In addition, by filling in the data through the goods inspection reminder template to generate the goods inspection reminder information, it ensures the format specification and integrity of the reminder content, avoids problems such as information omission or unclear expression, ensures that the information received by the supervision terminal is accurate and clear, and is conducive to improving the communication efficiency and management effect.

[0082] As Figure 2 shown, the embodiments of this specification provide a structural schematic diagram of a goods inspection device for a digital warehouse park. From Figure 2 it can be seen that in one or more embodiments of this specification, a goods inspection device for a digital warehouse park, the device includes:

[0083] A drawing unit 201 for drawing a digital fence of the current digital warehouse park according to the information on the storage of pledged goods and the building environment data of the current digital warehouse park;

[0084] An identification unit 202 for obtaining video image data within the area of the digital fence to identify the current goods information corresponding to the video image data;

[0085] A reminder unit 203 for comparing the incoming goods information corresponding to the digital fence with the current goods information to determine goods change data, and generating a real-time goods inspection reminder according to the goods change data.

[0086] As Figure 3 shown, an embodiment of this specification provides a schematic structural diagram of a goods inspection device for a digital warehouse park. As Figure 3 can be seen, in one or more embodiments of this specification, a goods inspection device for a digital warehouse park includes:

[0087] At least one processor; and,

[0088] A memory communicatively connected to the at least one processor; wherein,

[0089] The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute any of the above-mentioned methods.

[0090] As Figure 4 shown, an embodiment of this specification provides a schematic structural diagram of a non-volatile storage medium. As Figure 4 can be seen, in one or more embodiments of this specification, a non-volatile storage medium stores computer-executable instructions 401, and the computer-executable instructions 401 can execute any of the above-mentioned methods.

[0091] The various embodiments in this specification are all described in a progressive manner. For the same or similar parts among the various embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the embodiments of the device, equipment, and non-volatile computer storage medium, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiments.

[0092] The above description has been made of specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the acts or steps recited in the claims may be performed in a different order than in the embodiments and still achieve the desired result. Additionally, the processes depicted in the figures do not necessarily require the particular order or sequential order shown to achieve the desired result. In certain implementations, multitasking and parallel processing are also possible or may be advantageous.

[0093] The foregoing is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, various changes and modifications can be made to one or more embodiments of this specification. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included within the scope of the claims of this specification.

Claims

1. A method for inspecting goods in a digital warehouse park, characterized in that, The method includes: Drawing a digital fence for the current digital warehouse park according to the pledged goods storage information and the building environment data of the current digital warehouse park; Obtaining video image data within the area of the digital fence to identify the current goods information corresponding to the video image data; Comparing the incoming goods information corresponding to the digital fence with the current goods information to determine goods change data, and generating a real-time goods inspection reminder according to the goods change data.

2. The method for inspecting goods in a digital warehouse park according to claim 1, wherein Drawing a digital fence for the current digital warehouse park according to the pledged goods storage information and the building environment data of the current digital warehouse park, specifically including: Determining a tight digital fence area and a non-tight digital fence area according to the pledged goods storage data and the building environment data; Associating the goods pledge storage data and the corresponding incoming goods information with the corresponding tight digital fence area or non-tight digital fence area to obtain an initial digital fence; Generating a drawing task corresponding to the initial digital fence, and processing the drawing task based on the drawing terminal to determine the digital fence of the current digital warehouse park.

3. The method for inspecting goods in a digital warehouse park according to claim 2, wherein, Generating a drawing task corresponding to the initial digital fence, and processing the drawing task based on the drawing terminal to determine the digital fence of the current digital warehouse park, specifically including: Dividing each digital fence area according to the connected area data corresponding to the tight digital fence area and the goods pledge objects of each connected area, and the connected area data corresponding to the non-tight digital fence area and the goods pledge objects of each connected area; Storing the divided digital fence sub-areas into corresponding storage files respectively, and generating drawing tasks corresponding to each storage file; Synchronizing each of the drawing tasks to the drawing terminals corresponding to the goods pledge objects, and determining multiple groups of collaborative drawing terminals according to the response data of each drawing terminal to the drawing task; Determining the digital fence of the current digital warehouse park according to the processing of the drawing task by multiple groups of collaborative drawing terminals.

4. The method for inspecting goods in a digital warehouse park according to claim 1, characterized in that, Before obtaining the video image data within the area of the digital fence, the method further includes: Determining the digital fence area corresponding to each monitoring device according to the intersection of the monitoring ranges of each monitoring device in the current digital warehouse park and each digital fence area; Connecting each monitoring device to the data transmission interface corresponding to the digital fence, so as to call the video image data of each digital fence area within the digital fence based on the data transmission interface.

5. A method for inspecting goods in a digital warehouse park according to claim 1, characterized in that, Obtaining the video image data within the area of the digital fence to identify the current goods information corresponding to the video image data, specifically including: Obtaining the video image data within the digital fence area, preprocessing the video image data to obtain contour data, and determining the current goods quantity based on the contour data; Inputting the video image data into a pre-set deep learning model to obtain the current goods appearance information corresponding to the video image data; wherein, the pre-set deep learning model has multiple classification layers, and the multiple classification layers are determined based on the goods inspection conditions corresponding to the current digital warehouse park. Determine the current goods information corresponding to the video image data according to the current goods quantity and the current goods appearance information.

6. The method for inspecting goods in a digital warehouse park according to claim 1, wherein Compare the incoming goods information corresponding to the digital fence with the current goods information to determine the goods change data, specifically including: Compare the incoming goods information corresponding to the digital fence with the current goods information to determine the initial goods change data; Determine the corresponding allowable range of changes according to the attributes corresponding to the initial goods change data, and filter the initial goods change data based on the allowable range of changes to obtain the goods change data.

7. A method for inspecting goods in a digital warehouse park according to claim 1, characterized in that, Generate a real-time goods inspection reminder according to the goods change data, specifically including: If it is determined that there is goods change data, trigger the goods inspection reminder event of the current digital warehouse park; Determine the goods inspection reminder template corresponding to the goods inspection reminder event according to the attributes corresponding to the goods change data; Based on the matching relationship between each placeholder in the goods inspection reminder template and the goods change data, automatically fill in the goods change data to obtain the goods inspection reminder information, so as to send the goods inspection reminder information to the corresponding supervision terminal.

8. A viewing device for a digital warehouse park, characterized in that, The device includes: A drawing unit for drawing the digital fence of the current digital warehouse park according to the pledged goods storage information and the building environment data of the current digital warehouse park; An identification unit for acquiring the video image data within the area of the digital fence to identify the current goods information corresponding to the video image data; A reminder unit for comparing the incoming goods information corresponding to the digital fence with the current goods information to determine the goods change data, and generating a real-time goods inspection reminder according to the goods change data.

9. A goods inspection device for a digital warehouse park, characterized in that, The device includes: At least one processor; and, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method according to any one of claims 1-7 above.

10. A non-volatile storage medium stores computer-executable instructions, characterized in that, The computer-executable instructions can execute the method according to any one of claims 1-7 above.

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