An intelligent logistics system based on edge computing

Abstract

The embodiment of the present invention discloses an intelligent logistics system based on edge computing, which relates to the field of image recognition technology. The system includes: at least one monitoring camera for collecting images in the entire target logistics warehouse; an edge computing module, which is arranged in the monitoring camera, and is used to identify whether there is any pre-specified abnormality in the image in the target logistics warehouse through a preset AI image recognition algorithm; an alarm module, which is connected to the edge computing module network, and is used to issue an alarm message when the edge computing module identifies that there is an abnormality in the image in the target logistics warehouse. The present invention can intelligently and automatically identify abnormalities in images in the logistics warehouse and issue timely alarms, which effectively saves labor costs and improves monitoring effects.

Description

Technical Field

[0001] The present invention belongs to the field of image recognition technology, and in particular relates to an intelligent logistics system based on edge computing. Background Art

[0002] The current logistics warehouse management method generally uses cameras to record the warehouse, which can achieve real-time monitoring and video storage. Although it is convenient for later viewing, real-time monitoring requires manual execution. When a monitoring personnel needs to view warehouse images collected by multiple cameras at the same time, they often cannot pay attention to the situation in all cameras at any time, so they cannot promptly report an emergency. To solve this problem, more monitoring personnel need to be set up, which has high labor costs and poor monitoring effects. Summary of the invention

[0003] In view of this, an embodiment of the present invention provides an intelligent logistics system based on edge computing, which is used to solve the problems of high labor costs and poor monitoring effects in existing logistics warehouse management methods. The present invention can intelligently and automatically identify abnormal conditions in images in logistics warehouses and issue timely alarms through the AI ​​image recognition algorithm of the edge computing module, effectively saving labor costs and improving monitoring effects.

[0004] An embodiment of the present invention provides an intelligent logistics system based on edge computing, including:

[0005] At least one surveillance camera, used to collect images of the entire target logistics warehouse;

[0006] An edge computing module, disposed in the surveillance camera, is used to identify whether there is any pre-specified abnormal situation in the image in the target logistics warehouse through a preset AI image recognition algorithm;

[0007] The alarm module is connected to the edge computing module network and is used to issue an alarm message when the edge computing module identifies an abnormal situation in the image in the target logistics warehouse.

[0008] In an optional embodiment, the edge computing module is specifically used to identify whether there is at least one of fire, unauthorized intrusion, and scattered goods in the image in the target logistics warehouse through a preset AI image recognition algorithm.

[0009] In an optional embodiment, the intelligent logistics system based on edge computing further includes:

[0010] GPS and IMU inertial measurement units installed on logistics vehicles in the target logistics warehouse;

[0011] The positioning module is connected to the GPS and IMU network and is used to perform combined positioning of the current logistics vehicle based on the outputs of the GPS and IMU.

[0012] In an optional embodiment, the edge computing-based intelligent logistics system further includes: a photosensitive sensor, a controller, and a lighting fixture disposed on a logistics vehicle in a target logistics warehouse;

[0013] The photosensitive sensor is used to detect the light intensity value in the current target logistics warehouse;

[0014] The controller comprises:

[0015] The judgment submodule is used to judge whether the light intensity value detected by the photosensor on the current logistics vehicle is lower than a preset threshold;

[0016] The broadcast submodule is used to send a first broadcast message carrying the current logistics vehicle identification in the form of broadcast when the judgment result of the judgment submodule is yes; the broadcast submodule is also used to send a second broadcast message carrying the lighting start instruction in the form of broadcast after the lighting control submodule starts the lighting on the current logistics vehicle;

[0017] A receiving submodule, used for receiving a first / second broadcast message;

[0018] The lighting control submodule is used to control the start-up of the lighting on the current logistics vehicle based on the first broadcast message received by the receiving submodule and the detection result of the photosensor on the current logistics vehicle; or to control the start-up of the lighting on the current logistics vehicle based on the second broadcast message received by the receiving submodule.

[0019] In an optional embodiment, the lighting control submodule includes:

[0020] A first calculation unit, configured to calculate a first determination value of the broadcast message currently received by the receiving submodule according to a first formula;

[0021] A first judgment unit, used to judge whether the first judgment value currently calculated by the first calculation unit is equal to 1, and if so, judge that the broadcast message currently received by the receiving submodule is the second broadcast message;

[0022] A second calculation unit, configured to calculate a second determination value of the broadcast message currently received by the receiving submodule according to a second formula when the determination result of the first determination unit is no;

[0023] A second judgment unit is used to judge whether the second judgment value calculated by the current second calculation unit is equal to 0. If so, it is judged that the broadcast message currently received by the receiving submodule is the first broadcast message sent by other logistics vehicles;

[0024] A lighting control unit, configured to control the lighting on the current logistics vehicle to start when the first judgment unit determines that the broadcast message currently received by the receiving submodule is the second broadcast message, or to control the lighting on the current logistics vehicle to start according to the first broadcast message sent by the other logistics vehicle and the detection result of the photosensor on the current logistics vehicle when the second judgment unit determines that the broadcast message received by the receiving submodule is the first broadcast message sent by other logistics vehicles;

[0025] Among them, the first formula is:

[0026]

[0027] In the first formula, P0(a) represents the first judgment value of the broadcast message received by the receiving submodule of the current a-th logistics vehicle; [D(a)] 16 Indicates the hexadecimal form of the broadcast message received by the receiving submodule of the current a-th logistics vehicle; (D0) 16 Indicates the hexadecimal form of the preset standard lighting on command;

[0028] The second formula is:

[0029]

[0030] In the second formula, p(a) represents the second judgment value of the broadcast message received by the receiving submodule of the current a-th logistics vehicle; (L_ID 16 ) represents the number of hexadecimal digits of all preset logistics vehicle identifications; len{} represents the number of digits in the brackets; [ID(b)] 16 Indicates the hexadecimal form of the b-th logistics vehicle identification; >> indicates the right shift symbol; a=1,2,…,n; b=1,2,…,n; n indicates the total number of logistics vehicles in the target logistics warehouse; It means that when b≠a, substitute the value of b from 1 to n into the brackets and multiply all the results obtained.

[0031] In an optional embodiment, the lighting control unit is specifically used to calculate the start value of the lighting on the current logistics vehicle according to the third formula when the second judgment unit determines that the broadcast message received by the receiving submodule is the first broadcast message from other logistics vehicles, and control the lighting on the current logistics vehicle to start when the start value of the lighting on the current logistics vehicle is equal to 1;

[0032] Wherein, the third formula is:

[0033]

[0034] In the third formula, E(a) represents the activation value of the lighting lamp on the current a-th logistics vehicle; J(a) represents the judgment result of the judgment submodule on the current a-th logistics vehicle. If the judgment result of the judgment submodule on the current a-th logistics vehicle is yes, then J(a) = 1, otherwise J(a) = 0; F{[D1(a)] 16} indicates the judgment value of whether the first broadcast message received by the receiving submodule of the current a-th logistics vehicle is the first broadcast message sent by other logistics vehicles. If the first broadcast message received is the first broadcast message sent by other logistics vehicles, F{[D1(a)] 16}=1, otherwise F{[D1(a)] 16}=0;F{[D2(a)] 16} indicates the judgment value of whether the second broadcast message received by the receiving submodule of the current a-th logistics vehicle is the first broadcast message sent by other logistics vehicles. If the second broadcast message received is the first broadcast message sent by other logistics vehicles, F{[D2(a)] 16}=1, otherwise F{[D2(a)] 16}=0.

[0035] In an optional embodiment, the alarm information includes an image of the current target logistics warehouse and the content of the identified abnormal situation.

[0036] The present invention provides an edge computing-based intelligent logistics system, which first collects images in the logistics warehouse through a monitoring camera, then uses the AI ​​image recognition algorithm of the edge computing module to identify whether there is any pre-specified abnormal situation in the images in the logistics warehouse, and finally sends out an alarm message through the alarm module when an abnormal situation exists. The present invention can intelligently and automatically identify abnormal situations in the images in the target logistics warehouse and issue timely alarms through the AI ​​image recognition algorithm of the edge computing module, which effectively saves labor costs and improves the monitoring effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0038] Figure 1 A schematic diagram of the structure of an intelligent logistics system based on edge computing provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0039] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0040] It should be clear that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] Figure 1 A schematic diagram of the structure of an intelligent logistics system based on edge computing provided by an embodiment of the present invention. Figure 1 , the system comprises:

[0042] At least one surveillance camera 1, used to collect images of the entire target logistics warehouse;

[0043] The edge computing module 2 is arranged in the monitoring camera 1 and is used to identify whether there is any pre-specified abnormal situation in the image in the target logistics warehouse through a preset AI image recognition algorithm;

[0044] The alarm module 3 is connected to the edge computing module 2 through a network, and is used to issue an alarm message when the edge computing module 2 identifies an abnormal situation in the image in the target logistics warehouse.

[0045] The beneficial effects of the above technical solution are as follows: the intelligent logistics system based on edge computing provided by the embodiment of the present invention first collects images in the logistics warehouse through the monitoring camera 1, then identifies whether there is any pre-specified abnormal situation in the images in the logistics warehouse through the AI ​​image recognition algorithm of the edge computing module 2, and finally issues an alarm message through the alarm module 3 when an abnormal situation exists. The present invention can intelligently and automatically identify abnormal situations in the images in the target logistics warehouse and issue timely alarms through the AI ​​image recognition algorithm of the edge computing module 2, effectively saving labor costs and improving monitoring effects.

[0046] As an optional embodiment, the edge computing module 2 is specifically used to identify whether there is at least one of fire, unauthorized intrusion, and scattered goods in the image in the target logistics warehouse through a preset AI image recognition algorithm.

[0047] The beneficial effects of the above technical solution are as follows: the safety hazards existing in logistics warehouses mainly include: fire, intrusion by unauthorized personnel, scattered goods, etc. Allowing the preset AI image recognition algorithm to identify these hazards will effectively improve the safety of logistics warehouses and items in the warehouses.

[0048] As an optional embodiment, the intelligent logistics system based on edge computing further includes:

[0049] GPS and IMU inertial measurement units installed on logistics vehicles in the target logistics warehouse;

[0050] The positioning module is connected to the GPS and IMU network and is used to perform combined positioning of the current logistics vehicle based on the outputs of the GPS and IMU.

[0051] The beneficial effects of the above technical solution are as follows: Currently, logistics require GPS to accurately locate the real-time location of logistics, but GPS positioning may deviate and cannot guarantee accurate updates. IMU (Inertial measurement unit) refers to an inertial measurement unit, including sensors such as gyroscopes, accelerometers, and magnetometers. Some locations cannot receive GPS signals or GPS signals are interfered with, which will result in no GPS positioning results or poor positioning accuracy. This is an inherent shortcoming of "active positioning" and cannot be overcome from an algorithmic perspective. To address this problem, the multi-sensor fusion method of GPS+IMU and the "passive positioning" IMU can just make up for the shortcomings of GPS and increase the real-time accuracy of logistics positioning.

[0052] As an optional embodiment, the edge computing-based intelligent logistics system further includes: a photosensitive sensor, a controller, and a lighting lamp arranged on a logistics vehicle in a target logistics warehouse;

[0053] The photosensitive sensor is used to detect the light intensity value in the current target logistics warehouse;

[0054] The controller comprises:

[0055] The judgment submodule is used to judge whether the light intensity value detected by the photosensor on the current logistics vehicle is lower than a preset threshold;

[0056] The broadcast submodule is used to send a first broadcast message carrying the current logistics vehicle identification in the form of broadcast when the judgment result of the judgment submodule is yes; the broadcast submodule is also used to send a second broadcast message carrying the lighting start instruction in the form of broadcast after the lighting control submodule starts the lighting on the current logistics vehicle;

[0057] A receiving submodule, used for receiving a first / second broadcast message;

[0058] The lighting control submodule is used to control the start-up of the lighting on the current logistics vehicle based on the first broadcast message received by the receiving submodule and the detection result of the photosensor on the current logistics vehicle; or to control the start-up of the lighting on the current logistics vehicle based on the second broadcast message received by the receiving submodule.

[0059] The beneficial effects of the above technical solution are as follows: logistics warehouses are generally closed environments. When a lighting failure occurs, the logistics vehicles in the warehouse can timely detect the current light conditions in the warehouse through the photosensitive sensors installed on them. When some logistics vehicles detect insufficient light, they control the lights on the vehicles to turn on and notify other logistics vehicles to turn on the lights by broadcasting, so that the lights of all logistics vehicles can be turned on in a very short time, restoring the lighting environment in the warehouse, shortening the emergency time of the system, and improving the system efficiency.

[0060] As an optional embodiment, the lighting control submodule includes:

[0061] A first calculation unit, configured to calculate a first determination value of the broadcast message currently received by the receiving submodule according to a first formula;

[0062] A first judgment unit, used to judge whether the first judgment value currently calculated by the first calculation unit is equal to 1, and if so, judge that the broadcast message currently received by the receiving submodule is the second broadcast message;

[0063] A second calculation unit, configured to calculate a second determination value of the broadcast message currently received by the receiving submodule according to a second formula when the determination result of the first determination unit is no;

[0064] A second judgment unit is used to judge whether the second judgment value calculated by the current second calculation unit is equal to 0. If so, it is judged that the broadcast message currently received by the receiving submodule is the first broadcast message sent by other logistics vehicles;

[0065] A lighting control unit, configured to control the lighting on the current logistics vehicle to start when the first judgment unit determines that the broadcast message currently received by the receiving submodule is the second broadcast message, or to control the lighting on the current logistics vehicle to start according to the first broadcast message sent by the other logistics vehicle and the detection result of the photosensor on the current logistics vehicle when the second judgment unit determines that the broadcast message received by the receiving submodule is the first broadcast message sent by other logistics vehicles;

[0066] Among them, the first formula is:

[0067]

[0068] In the first formula, P0(a) represents the first judgment value of the broadcast message received by the receiving submodule of the current a-th logistics vehicle; [D(a)] 16 Indicates the hexadecimal form of the broadcast message received by the receiving submodule of the current a-th logistics vehicle; (D0) 16Indicates the hexadecimal form of the preset standard lighting on command; where, if P0(a)=0, it means that the broadcast data information received by the a-th logistics vehicle does not carry the lighting command information (i.e., it is not the second broadcast message); if P0(a)=1, it means that the broadcast data information received by the a-th logistics vehicle carries the lighting command information (i.e., it is the second broadcast message);

[0069] The second formula is:

[0070]

[0071] In the second formula, p(a) represents the second judgment value of the broadcast message received by the receiving submodule of the current a-th logistics vehicle; (L_ID 16 ) represents the number of hexadecimal digits of all preset logistics vehicle identifications; len{} represents the number of digits in the brackets; [ID(b)] 16 Indicates the hexadecimal form of the b-th logistics vehicle identification; >> indicates the right shift symbol; a=1,2,…,n; b=1,2,…,n; n indicates the total number of logistics vehicles in the target logistics warehouse; It means that when b≠a, the value of b is substituted from 1 to n into the brackets and all the results obtained are multiplied; among them, p(a)=0, the broadcast message received by the receiving submodule of the a-th logistics vehicle is the first broadcast message, and p(a)=1, the broadcast message received by the receiving submodule of the a-th logistics vehicle is not the first broadcast message.

[0072] The beneficial effects of the above technical solution are as follows: the first formula (1) is used to determine whether the broadcast data information received by each logistics vehicle is lighting instruction information (i.e., the second broadcast message), so that the lighting lamp and the transmission mode are turned on immediately after the lighting instruction information is detected, so that all logistics vehicles can light up the lighting lamps as quickly as possible to ensure the safe and stable operation of the warehouse; then the second formula (2) is used to determine whether the information received by the logistics vehicle is data information of other logistics vehicles (i.e., the first broadcast message), so as to facilitate subsequent control and judgment, and realize the control of the lighting lamp on the current logistics vehicle to start according to the detection results of the first broadcast message and the photosensor on the logistics vehicle.

[0073] As an optional embodiment, the lighting control unit is specifically used to calculate the start value of the lighting on the current logistics vehicle according to the third formula when the second judgment unit determines that the broadcast message received by the receiving submodule is the first broadcast message from other logistics vehicles, and control the lighting on the current logistics vehicle to start when the start value of the lighting on the current logistics vehicle is equal to 1;

[0074] Wherein, the third formula is:

[0075]

[0076] In the third formula, E(a) represents the activation value of the lighting on the current a-th logistics vehicle, wherein, if P0(a)=1 is detected, E(a)=1 is immediately set, and E(a)=1 is maintained until the staff resets and then initializes E(a) to 0. In addition, E(a)=1 indicates that the lighting on the a-th logistics vehicle is activated, otherwise E(a)=0 indicates that the lighting on the a-th logistics vehicle is not activated; J(a) represents the judgment result of the judgment submodule on the current a-th logistics vehicle, if the judgment result of the judgment submodule on the current a-th logistics vehicle is yes, then J(a)=1, otherwise J(a)=0; F{[D1(a)] 16} indicates the judgment value of whether the first broadcast message received by the receiving submodule of the current a-th logistics vehicle is the first broadcast message sent by other logistics vehicles. If the first broadcast message received is the first broadcast message sent by other logistics vehicles, F{[D1(a)] 16}=1, otherwise F{[D1(a)] 16}=0;F{[D2(a)] 16} indicates the judgment value of whether the second broadcast message received by the receiving submodule of the current a-th logistics vehicle is the first broadcast message sent by other logistics vehicles. If the second broadcast message received is the first broadcast message sent by other logistics vehicles, F{[D2(a)] 16}=1, otherwise F{[D2(a)] 16}=0.

[0077] The beneficial effect of the above technical solution is: using the third formula (3) to control the activation of the lighting lamp (i.e., LED lamp) on the corresponding logistics vehicle according to the data information received from different logistics vehicles twice in a row and the detection results of the photosensor installed by itself, and then lighting the LED when the two logistics vehicles believe that the current warehouse is insufficiently lit, to ensure that the LED lamp is not wasted due to the malfunction of the photosensor of individual logistics vehicles, and at the same time to ensure that the logistics vehicle with a malfunctioning photosensor can also turn on the lighting lamp when the warehouse is insufficiently lit, thereby improving the reliability of the system.

[0078] As an optional embodiment, the alarm information includes an image of the current target logistics warehouse and the content of the identified abnormal situation.

[0079] The beneficial effects of the above technical solution are: the alarm information contains images of the standard logistics warehouse and the identified abnormal situation content, which can quickly allow managers to understand the abnormal situation in a timely manner, facilitate timely response measures, and effectively reduce the impact of abnormal situations.

[0080] From the above embodiments, it can be seen that an edge computing module can be added to the surveillance camera to obtain the monitoring situation of the entire warehouse, and the built-in AI algorithm can be used to ensure indoor safety, and an alarm can be issued in time if an abnormal situation occurs. At the same time, a large number of sensors can be connected to the Internet to facilitate equipment management, respond to alarms faster, and update the logistics location in real time through the Internet of Vehicles. In addition, since the warehouse is a closed environment, multiple lighting devices need to be installed on the roof of the warehouse to ensure that the camera can detect the logistics vehicles in the warehouse. However, when the power supply line of the lighting device on the roof fails, the logistics vehicle will detect the current light conditions in the warehouse through the photosensors installed on itself. If the logistics vehicle finds that the light in the warehouse is insufficient, it will first send insufficient light data information carrying the logistics vehicle ID in the form of broadcast. Each logistics vehicle will control the start-up of the lighting LED lamp on the corresponding logistics vehicle according to the received broadcast data information and the detection results of the photosensors installed on itself, and the logistics vehicle that starts the lighting LED lamp will regenerate the lighting command information for broadcasting. After receiving the lighting command information, other logistics vehicles will directly start the corresponding lighting LED lamp without judging the current light shortage, and generate lighting command information for broadcasting at the same time. Therefore, when one or more logistics vehicles determine that the light in the current warehouse is insufficient, the lighting LED lamps of all logistics vehicles will be turned on in a propagation manner, thereby shortening the emergency time of the system and improving the system efficiency.

[0081] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 An apparatus for the method specified in one or more blocks.

[0082] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 The method specified in one or more boxes.

[0083] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps of a method specified in one or more boxes.

[0084] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these changes and variations. The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed by the present invention should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. An intelligent logistics system based on edge computing, characterized in that: include: At least one surveillance camera, used to collect images of the entire target logistics warehouse; An edge computing module, disposed in the surveillance camera, is used to identify whether there is any pre-specified abnormal situation in the image in the target logistics warehouse through a preset AI image recognition algorithm; An alarm module, connected to the edge computing module network, configured to issue an alarm message when the edge computing module identifies an abnormality in the image in the target logistics warehouse; Among them, the photosensitive sensor, controller and lighting are installed on the logistics vehicle in the target logistics warehouse; The photosensitive sensor is used to detect the light intensity value in the current target logistics warehouse; The controller comprises: The judgment submodule is used to judge whether the light intensity value detected by the photosensor on the current logistics vehicle is lower than a preset threshold; The broadcast submodule is used to send a first broadcast message carrying the current logistics vehicle identification in the form of broadcast when the judgment result of the judgment submodule is yes; the broadcast submodule is also used to send a second broadcast message carrying the lighting start instruction in the form of broadcast after the lighting control submodule starts the lighting on the current logistics vehicle; A receiving submodule, used for receiving a first / second broadcast message; A lighting control submodule, used to control the lighting on the current logistics vehicle to start according to the first broadcast message received by the receiving submodule and the detection result of the photosensor on the current logistics vehicle; or used to control the lighting on the current logistics vehicle to start according to the second broadcast message received by the receiving submodule; Wherein, the lighting control submodule includes: A first calculation unit, configured to calculate a first determination value of the broadcast message currently received by the receiving submodule according to a first formula; A first judgment unit, used to judge whether the first judgment value currently calculated by the first calculation unit is equal to 1, and if so, judge that the broadcast message currently received by the receiving submodule is the second broadcast message; A second calculation unit, configured to calculate a second determination value of the broadcast message currently received by the receiving submodule according to a second formula when the determination result of the first determination unit is no; A second judgment unit is used to judge whether the second judgment value calculated by the current second calculation unit is equal to 0. If so, it is judged that the broadcast message currently received by the receiving submodule is the first broadcast message sent by other logistics vehicles; A lighting control unit, configured to control the lighting on the current logistics vehicle to start when the first judgment unit determines that the broadcast message currently received by the receiving submodule is the second broadcast message, or to control the lighting on the current logistics vehicle to start according to the first broadcast message sent by the other logistics vehicle and the detection result of the photosensor on the current logistics vehicle when the second judgment unit determines that the broadcast message received by the receiving submodule is the first broadcast message sent by other logistics vehicles; Among them, the first formula is: In the first formula, P0(a) represents the first judgment value of the broadcast message received by the receiving submodule of the current a-th logistics vehicle; [D(a)] 16 Indicates the hexadecimal format of the broadcast message received by the receiving submodule of the current a-th logistics vehicle; (D0) 16 Indicates the hexadecimal form of the preset standard lighting on command; The second formula is: In the second formula, p(a) represents the second judgment value of the broadcast message received by the receiving submodule of the current a-th logistics vehicle; (L_ID 16 ) represents the number of hexadecimal digits of all preset logistics vehicle identifications; len{} represents the number of digits in the brackets; [ID(b)] 16 Indicates the hexadecimal form of the b-th logistics vehicle identification; >> indicates the right shift symbol; a=1,2,…,n; b=1,2,…,n; n indicates the total number of logistics vehicles in the target logistics warehouse; It means that when b≠a, substitute the value of b from 1 to n into the brackets and multiply all the results obtained; The lighting control unit is specifically used to calculate the start value of the lighting on the current logistics vehicle according to the third formula when the second judgment unit determines that the broadcast message received by the receiving submodule is the first broadcast message from other logistics vehicles, and control the lighting on the current logistics vehicle to start when the start value of the lighting on the current logistics vehicle is equal to 1; Wherein, the third formula is: In the third formula, E(a) represents the activation value of the lighting lamp on the current a-th logistics vehicle; J(a) represents the judgment result of the judgment submodule on the current a-th logistics vehicle. If the judgment result of the judgment submodule on the current a-th logistics vehicle is yes, then J(a) = 1, otherwise J(a) = 0; F{[D1(a)] 16 } represents the judgment value of whether the first broadcast message received by the receiving submodule of the current a-th logistics vehicle is the first broadcast message sent by other logistics vehicles. If the first broadcast message received is the first broadcast message sent by other logistics vehicles, F{[D1(a)]16}=1, otherwise F{[D1(a)]16}=0; F{[D2(a)]16} represents the judgment value of whether the second broadcast message received by the receiving submodule of the current a-th logistics vehicle is the first broadcast message sent by other logistics vehicles. If the second broadcast message received is the first broadcast message sent by other logistics vehicles, F{[D2(a)]16}=1, otherwise F{[D2(a)]16}=0.

2. The intelligent logistics system based on edge computing according to claim 1, characterized in that: The edge computing module is specifically used to identify whether there is at least one of fire, unauthorized intrusion, and scattered goods in the image in the target logistics warehouse through a preset AI image recognition algorithm.

3. The intelligent logistics system based on edge computing according to claim 1, characterized in that: The system further comprises: GPS and IMU inertial measurement units installed on logistics vehicles in the target logistics warehouse; The positioning module is connected to the GPS and IMU network and is used to perform combined positioning of the current logistics vehicle based on the outputs of the GPS and IMU.

4. The intelligent logistics system based on edge computing as claimed in claim 1 or 3, characterized in that: The alarm information includes the image of the current target logistics warehouse and the content of the identified abnormal situation.

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