A mobile intelligent cabinet based on multiple communication links

Abstract

The present invention provides a mobile intelligent cabinet based on multiple communication links, including: real-time monitoring of environmental parameters in the intelligent cabinet, and issuing a first warning signal when the environmental parameters do not meet the preset environmental parameters; and real-time monitoring of the material categories in the intelligent cabinet and the inventory quantity corresponding to each material category, and issuing a second warning signal when the material category is less than the preset material category, or the inventory quantity corresponding to each category is lower than the preset quantity; encrypting the first warning signal and the second warning signal to generate an encrypted signal; transmitting the encrypted signal, receiving and decrypting the encrypted signal to obtain a decrypted signal; and generating a material supply route based on the decrypted signal, and feeding back the material supply route to a predetermined target object. The present invention monitors material storage in real time to avoid aging, corrosion and over-purchase of materials.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things, and in particular to a mobile intelligent cabinet based on multiple communication links. Background Art

[0002] At present, in terms of logistics services, data monitoring of logistics materials is of great significance. It is not only related to the improvement of internal operational efficiency of organizations, but also directly affects cost control, material optimization, decision-making, emergency response and other aspects. The current logistics services mainly have the following defects:

[0003] (1) Failure to monitor the material storage environment in real time leads to aging and corrosion of materials;

[0004] (2) Failure to monitor the flow rate and efficiency of materials in real time, such as inventory shortages, expiration of shelf life, etc., leads to waste of materials, excessive purchases, increased capital occupation and additional costs;

[0005] (3) The lack of user authority authentication during the use of logistics materials results in a high risk of leakage of data such as the consumption rate, material categories, inventory, and procurement costs of logistics materials;

[0006] (4) In the event of an emergency or emergency, the material transportation route cannot be planned in time, resulting in delays in logistics services;

[0007] With the development of advanced technologies such as the Internet of Things, big data analysis, and automated control, their application value has attracted widespread attention in some special fields. Therefore, how to use advanced technologies such as the Internet of Things, big data analysis, and automated control in these special fields to monitor logistics services is an urgent problem to be solved. Summary of the invention

[0008] In view of the above-mentioned shortcomings of the prior art, an object of the present invention is to provide a mobile intelligent cabinet based on multiple communication links to solve the technical problems existing in the prior art.

[0009] To achieve the above-mentioned purpose and other related purposes, the present invention provides a mobile intelligent cabinet based on multiple communication links, wherein a software management system is provided inside the intelligent cabinet, and the software management system includes:

[0010] An environmental monitoring module, used for real-time monitoring of environmental parameters in the intelligent cabinet, and issuing a first warning signal when the environmental parameters do not meet the preset environmental parameters; wherein the intelligent cabinet is used to store one or more materials;

[0011] A material monitoring module, used for real-time monitoring of the material categories in the intelligent cabinet and the inventory quantity corresponding to each material category, and issuing a second warning signal when the material category is less than the preset material category or the inventory quantity corresponding to each category is lower than the preset quantity;

[0012] A communication module, used for encrypting the first warning signal and the second warning signal to generate an encrypted signal;

[0013] A switch module, used for transmitting the encrypted signal;

[0014] A control module is used to receive and decrypt the encrypted signal to obtain a decrypted signal; and generate a material supply route based on the decrypted signal, and feed back the material supply route to a predetermined target object; wherein the target object includes: a target person and an unmanned device;

[0015] The process of the switch module transmitting the encrypted signal includes:

[0016] Create command data packets and broadcast them;

[0017] When all the communication link relay nodes receive the command data packet, and the destination address in the command data packet is the same as the address of at least one of the communication link relay nodes, the communication link relay node corresponding to the same address is recorded as the target communication link node, and based on the channel number of the target communication link node, the previous link node channel number and the next link node channel number of the target communication link node are calculated, and the previous link node channel number and the next link node channel number of the target communication link node are stored in the channel number table of the target communication link node, and the command data packet is continued to be forwarded, and after the forwarding is completed, the target communication link node channel is jumped to prepare to receive the status data packet; and when the target communication link node channel receives the status data packet, the notification data packet is jumped to the previous link node channel of the target communication link node;

[0018] When the communication link end node receives a command data packet, and the destination address in the command data packet is the same as the address of the communication link end node, a status data packet is created, and the status data packet is sent to the next link node channel of the communication link end node. After the status data packet is sent, the communication link end node channel is jumped to prepare to receive the notification data packet; and after the communication link end node channel receives the notification data packet sent by the previous link node channel of the target communication link node, the notification data packet is forwarded to the previous link node channel of the communication link end node;

[0019] When the control module receives a notification data packet forwarded by the previous link node channel of the communication link end node, marking the completion of the establishment of multiple communication links, the switch module starts to transmit the encrypted signal;

[0020] The command data packet is used to configure the frequency-selective communication frequency for the nodes in the selected route, the status data packet is used to check whether the downlink transmission link is correctly established, and the notification data packet is used to check whether the uplink transmission link is correctly established.

[0021] Optionally, the process of the switch module transmitting the encrypted signal further includes:

[0022] When the control module receives the notification data packet, it jumps to the next link node channel of the communication link end node to send the downlink data packet;

[0023] When a downlink data packet of the next link node channel of the communication link end node arrives, the communication link relay node synchronizes its own time slot with the time slot of the previous link node of the communication link end node, and jumps to the next link node channel of the communication link relay node to forward the downlink data packet;

[0024] When a downlink data packet of the next link node channel of the communication link relay node arrives, the switch module synchronizes its own time slot with the time slot of the previous link node of the communication link relay node, and jumps to the previous link node channel of the communication link relay node to send an uplink data packet;

[0025] If the control module has no data packets to send, it will no longer send downlink data packets;

[0026] If all communication link relay nodes do not receive a downlink data packet or receive an idle data packet within three consecutive cycles, the encrypted signal transmission process ends; alternatively, if the switch module does not receive a downlink data packet or receives an idle data packet within three consecutive cycles, no uplink data packet will be sent, and the encrypted signal transmission process ends.

[0027] Optionally, the software management system further includes:

[0028] A storage module, used to store all data of the environment monitoring module, the material monitoring module, the communication module, the switch module and the control module;

[0029] The information security module is used to provide a biometric information recognition interface and receive the biometric information to be verified input by an external person based on the biometric information recognition interface, and generate a verification success signal after the biometric information to be verified passes the verification, and transmit the verification success signal to the control module to open the intelligent cabinet through the control module; or, after the biometric information to be verified fails the verification, generate a verification failure signal, and transmit the verification failure signal to the storage module to delete all data in the storage module.

[0030] Optionally, the software management system further includes:

[0031] The security module is used to shoot a video within a preset distance range from the intelligent cabinet, divide the video into frames to obtain multiple frame images, and use a pre-configured image recognition model to recognize all frame images, and compare the monitored object in the image recognition result with the target person; when the comparison results of the monitored object and the target person are consistent, a comparison success signal is generated, and the comparison success signal is transmitted to the control module to open the intelligent cabinet through the control module; or, when the comparison results of the monitored object and the target person are inconsistent, a comparison failure signal is generated, and the comparison failure signal is transmitted to the storage module to delete all data in the storage module.

[0032] Optionally, the environment monitoring module includes: a temperature sensor, a humidity sensor, an air pressure sensor, a dust sensor, a smoke sensor and a water immersion sensor;

[0033] The temperature sensor is used to monitor the temperature parameters in the intelligent cabinet in real time, the humidity sensor is used to monitor the humidity parameters in the intelligent cabinet in real time, the air pressure sensor is used to monitor the air pressure parameters in the intelligent cabinet in real time, the dust sensor is used to monitor the dust parameters in the intelligent cabinet in real time, the smoke sensor is used to monitor the smoke parameters in the intelligent cabinet in real time, and the water immersion sensor is used to monitor the moisture parameters in the intelligent cabinet in real time;

[0034] Wherein, the environmental parameters include the temperature parameter, the humidity parameter, the air pressure parameter, the dust parameter, the smoke parameter and the moisture parameter.

[0035] Optionally, the software management system also includes a power supply module, which is connected to the environmental monitoring module, the material monitoring module, the communication module, the switch module and the control module, and is used to supply power to the environmental monitoring module, the material monitoring module, the communication module, the switch module and the control module.

[0036] Optionally, the process of the control module generating a material supply route based on the decrypted signal includes:

[0037] Acquire the geographical location information of the intelligent cabinet and the geographical location information of the target object;

[0038] Generate multiple travel routes based on the traffic road environment between the geographical location information of the intelligent cabinet and the geographical location information of the target object;

[0039] The multiple travel routes are sorted according to travel time, and the travel route with the shortest travel time is used as the material supply route.

[0040] Optionally, the biometric information to be verified includes at least one of the following: fingerprint information, iris information, palm print information, and voice information.

[0041] Optionally, the power supply module is composed of an independent power supply system;

[0042] Alternatively, the power supply module is composed of a solar panel or a generator;

[0043] Alternatively, the power supply module is composed of an independent power supply system, a solar panel and a generator.

[0044] Optionally, a moving mechanism is connected to the lower end of the intelligent cabinet, and the intelligent cabinet moves under the drive of the moving mechanism;

[0045] The bottom of the intelligent cabinet is also provided with a shock-absorbing and anti-shake structure for reducing vibration and shaking;

[0046] The bottom of the intelligent cabinet is also provided with a fixing structure for fixing the position;

[0047] The intelligent cabinet is also provided with a heat dissipation module, and the heat dissipation module includes: a fan and a heat sink.

[0048] As described above, the present invention provides a mobile intelligent cabinet based on multiple communication links, which has the following beneficial effects: by real-time monitoring of environmental parameters in the intelligent cabinet, and when the environmental parameters do not meet the preset environmental parameters, a first warning signal is issued; and, real-time monitoring of the material categories in the intelligent cabinet and the inventory quantity corresponding to each material category, and when the material category is less than the preset material category, or the inventory quantity corresponding to each category is less than the preset quantity, a second warning signal is issued; then the first warning signal and the second warning signal are encrypted to generate an encrypted signal; and the encrypted signal is transmitted, and the encrypted signal is received and decrypted to obtain a decrypted signal; and, based on the decrypted signal, a material supply route is generated, and the material supply route is fed back to a predetermined target object; wherein the target object includes: target personnel, unmanned equipment. It can be seen from this that the present invention can monitor the material storage environment in real time to avoid aging, corrosion, etc. of the materials; at the same time, the present invention can monitor the flow speed and use efficiency of the materials in real time, avoid excessive procurement, reduce capital occupation and material waste, and reduce costs. Moreover, the present invention can feed back the material supply route to the predetermined target object, ensuring that in the event of an emergency or emergency, the material transportation route can be planned in time to improve the material transportation efficiency. In addition, the present invention can also perform authority authentication on users, and delete material storage data in a timely manner if the user fails the authority authentication to avoid data leakage. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 A schematic diagram of the hardware structure of a software management system in a mobile intelligent cabinet based on multiple communication links provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0050] The following describes the embodiments of the present invention by specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0051] It should be noted that the illustrations provided in this embodiment are only used to illustrate the basic concept of the present invention in a schematic manner. Therefore, the drawings only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0052] In an exemplary embodiment of the present invention, Figure 1As shown, this embodiment provides a mobile intelligent cabinet based on multiple communication links, wherein a software management system is provided inside the intelligent cabinet, and the software management system includes:

[0053] The environment monitoring module is used to monitor the environment parameters in the intelligent cabinet in real time, and send out the first warning signal when the environment parameters do not meet the preset environment parameters; wherein the intelligent cabinet is used to store one or more materials. In this embodiment or other embodiments, the environment monitoring module includes: a temperature sensor, a humidity sensor, an air pressure sensor, a dust sensor, a smoke sensor and a water immersion sensor; the temperature sensor is used to monitor the temperature parameters in the intelligent cabinet in real time, the humidity sensor is used to monitor the humidity parameters in the intelligent cabinet in real time, the air pressure sensor is used to monitor the air pressure parameters in the intelligent cabinet in real time, the dust sensor is used to monitor the dust parameters in the intelligent cabinet in real time, the smoke sensor is used to monitor the smoke parameters in the intelligent cabinet in real time, and the water immersion sensor is used to monitor the moisture parameters in the intelligent cabinet in real time; wherein the environment parameters include temperature parameters, humidity parameters, air pressure parameters, dust parameters, smoke parameters and moisture parameters. Therefore, the intelligent cabinet can monitor the material storage environment in real time, including key parameters such as temperature, humidity, and air pressure, and automatically adjust to the most suitable storage conditions. This function is of great significance for preventing material aging and corrosion, especially for sensitive chemical materials and precision electronic instruments, a stable storage environment is the key to ensure their long-term effectiveness.

[0054] The material monitoring module is used to monitor the material categories in the intelligent cabinet and the inventory quantity corresponding to each material category in real time, and to issue a second warning signal when the material categories are less than the preset material categories, or the inventory quantity corresponding to each category is lower than the preset quantity.

[0055] A communication module, used for encrypting the first warning signal and the second warning signal to generate an encrypted signal;

[0056] A switch module is used to transmit encrypted signals. Specifically, the process of the switch module transmitting encrypted signals includes: creating a command data packet and broadcasting it. When all communication link relay nodes receive the command data packet, and the destination address in the command data packet is the same as the address of at least one of the communication link relay nodes, the communication link relay node corresponding to the same address is recorded as the target communication link node, and based on the channel number of the target communication link node, the previous link node channel number and the next link node channel number of the target communication link node are calculated, and the previous link node channel number and the next link node channel number of the target communication link node are stored in the channel number table of the target communication link node, and the command data packet is continued to be forwarded, and after the forwarding is completed, it jumps to the target communication link node channel to prepare to receive the status data packet; and when the target communication link node channel receives the status data packet, it jumps to the previous link node channel of the target communication link node to send a notification data packet. When the communication link end node receives a command data packet, and the destination address in the command data packet is the same as the address of the communication link end node, a status data packet is created, and the status data packet is sent to the next link node channel of the communication link end node. After the sending is completed, the status data packet is sent to the communication link end node channel to prepare to receive the notification data packet; and after the communication link end node channel receives the notification data packet sent by the previous link node channel of the target communication link node, the notification data packet is forwarded to the previous link node channel of the communication link end node. When the control module receives the notification data packet forwarded by the previous link node channel of the communication link end node, it marks that the establishment of multiple communication links is completed, and the switch module starts to transmit encrypted signals. Among them, the command data packet is used to configure the frequency selection communication frequency for the node in the selected route, the status data packet is used to check whether the downlink transmission link is correctly established, and the notification data packet is used to check whether the uplink transmission link is correctly established. After receiving the notification data packet, the control module jumps to the next link node channel of the communication link end node to send the downlink data packet. When a downlink data packet of the next link node channel of the communication link end node arrives, the communication link relay node synchronizes its own time slot with the time slot of the previous link node of the communication link end node, and jumps to the next link node channel of the communication link relay node to forward the downlink data packet. When a downlink data packet of the next link node channel of the communication link relay node arrives, the switch module synchronizes its own time slot with the time slot of the previous link node of the communication link relay node, and jumps to the previous link node channel of the communication link relay node to send an uplink data packet. If the control module has no data packet to send, no downlink data packet will be sent. If all communication link relay nodes do not receive a downlink data packet within three consecutive cycles or receive an idle data packet, the encrypted signal transmission process ends; or, if the switch module does not receive a downlink data packet within three consecutive cycles or receives an idle data packet, no uplink data packet will be sent, and the encrypted signal transmission process ends.Since there may be more than two nodes in the multi-communication link within the communication range of each other, in order to avoid data packet collision caused by the broadcast characteristics of wireless nodes and ensure the correct transmission of data packets, this embodiment performs frequency selection communication during the data transmission of encrypted signals, so that adjacent nodes maintain the same frequency when communication is required and maintain different frequencies when communication is not required, thereby avoiding mutual interference between nodes. Therefore, this embodiment can configure the respective communication frequencies for the nodes in the selected route, and establish a transmission link between these nodes in the frequency selection communication mode, so as to prepare for the data transmission of encrypted signals.

[0057] The control module is used to receive and decrypt the encrypted signal to obtain the decrypted signal; and, based on the decrypted signal, generate a material supply route, and feed back the material supply route to a predetermined target object; wherein the target object includes: a target person and an unmanned device. The process of the control module generating a material supply route based on the decrypted signal includes: obtaining the geographical location information of the intelligent cabinet and the geographical location information of the target object; generating multiple routes based on the traffic road environment between the geographical location information of the intelligent cabinet and the geographical location information of the target object; sorting the multiple routes according to the travel time, and taking the route with the shortest travel time as the material supply route. Therefore, once the software management system predicts that the material inventory in a certain target area is about to reach the warning line, the intelligent cabinet will automatically trigger a supply request and generate the optimal supply plan. This plan not only takes into account the type and quantity of materials, but also combines factors such as terrain and traffic conditions to plan the fastest and safest supply route. In addition, drones, unmanned vehicles or rapid supply teams can be used to transport supplies, so that supplies can be delivered in the shortest time possible, greatly shortening the entire cycle from demand identification to supply arrival, and ensuring the continuous supply capabilities of front-end personnel.

[0058] It can be seen that the intelligent cabinet adopts a modular design, which is easy to deploy and reconfigure quickly to adapt to the frequent changes in the target area. The intelligent cabinet itself has good environmental adaptability and can work stably in extreme weather and complex terrain, ensuring reliable service in harsh environments. In addition, the modular design allows the rapid addition or reduction of modules according to different mission requirements, realizing the flexible allocation of materials and meeting the mission requirements of different scales and types. Therefore, the intelligent cabinet realizes the classified storage and flexible allocation of materials through modular design. Each module can be managed independently, and the layout is optimized according to factors such as material type and shelf life, which is convenient for daily inspection and rapid response to reserve needs. In daily material reserves, regular material rotation is the norm. The software management system of the intelligent cabinet can also automatically recommend the best rotation strategy according to the rotation plan, reduce manual errors, and improve the turnover efficiency and utilization rate of reserve materials. At the same time, by installing an advanced sensor network inside the intelligent cabinet, key indicators such as the inventory, type, and storage environment of materials can be monitored in real time. Moreover, it is connected to the central command center through a wireless communication network, and data is uploaded in real time, which is convenient for remote monitoring and management. Once an abnormal situation occurs, an early warning is triggered immediately to ensure a rapid response. In addition, this data is transmitted back to the command center's database in real time through wireless communication technology, and can also be processed by a special big data analysis algorithm; the big data analysis algorithm predicts the material demand trend based on historical consumption, current task intensity, future task plans and other factors, and realizes the early perception and accurate prediction of material demand. This process greatly reduces the need for human intervention and improves the timeliness and accuracy of decision-making.

[0059] In an exemplary embodiment, the software management system further includes: a storage module for storing all data of the environment monitoring module, the material monitoring module, the communication module, the switch module and the control module; an information security module for providing a biometric information recognition interface and receiving the biometric information to be verified input by an external person based on the biometric information recognition interface, and generating a verification success signal after the biometric information to be verified passes the verification, and transmitting the verification success signal to the control module to open the intelligent cabinet through the control module; or, generating a verification failure signal after the biometric information to be verified fails the verification, and transmitting the verification failure signal to the storage module to delete all data in the storage module. In this embodiment or other embodiments, the biometric information to be verified includes at least one of the following: fingerprint information, iris information, palm print information, and voice information.

[0060] As an example, the fingerprint information identification and verification process may include: fingerprint collection, fingerprint feature extraction, fingerprint matching, etc. Specifically, fingerprint collection: the finger of the person being identified is placed on the fingerprint collection device, and the fingerprint image is collected through an optical or electronic sensor (such as a capacitor, a thermal sensor, etc.). The optical fingerprint collection device uses a camera to capture the fingerprint image, while the electronic sensor generates the fingerprint image by sensing the slight changes on the fingerprint surface. Fingerprint feature extraction: useful morphological features are extracted from the collected fingerprint image, such as the basic types of fingerprints such as the arch, loop, arch and loop mixture. In the feature extraction process, the fingerprint image will be preprocessed, such as removing noise, image enhancement, etc., and then the features in the fingerprint image will be extracted using algorithms such as filtering, segmentation, and refinement. Fingerprint matching: the extracted fingerprint features are compared with the fingerprint features stored in the database to determine the identity of the fingerprint. In the fingerprint matching process, algorithms such as similarity matching, template matching, and neural network matching are used to ensure the accuracy and efficiency of recognition.

[0061] As an example, the iris information recognition and verification process may include: iris image acquisition, iris image preprocessing, iris feature extraction, iris feature matching, etc. Specifically, iris image acquisition: use a specific camera to shoot the entire eye of a person to obtain a clear iris image. Then transmit the captured image to the image preprocessing software inside the iris recognition system. Image preprocessing: preprocess the acquired iris image, including iris positioning, image normalization, image enhancement and other steps. Iris positioning can determine the position of the iris in the image, image normalization can adjust the iris image to a fixed size, and image enhancement can improve the recognition rate of iris information. Iris feature extraction: extract the feature points required for iris recognition from the preprocessed iris image and encode them using a specific algorithm. This example will not be repeated here. These feature points usually include detailed information of the iris texture, such as the direction and density of the texture. Iris feature matching: match the extracted iris feature code with the iris image feature code in the database one by one to determine whether they are the same iris, thereby achieving the purpose of identity recognition.

[0062] As an example, the palmprint information recognition and verification process may include: palmprint image acquisition, palmprint image preprocessing, palmprint feature extraction, palmprint matching, etc. Specifically, palmprint image acquisition: using a certain digital device (such as a scanner or camera) to collect palmprint images and convert them into matrix data that can be processed by a computer. The acquired image is usually a two-dimensional grayscale image. Palmprint image preprocessing: preprocessing the collected palmprint image, including noise removal, image enhancement, normalization, etc., to make the image clearer and easier to process later. Palmprint feature extraction: extracting feature information for identification from the preprocessed palmprint image, such as palmprint feature information such as main lines, wrinkles, fine textures, ridge ends, bifurcation points, etc., which will be used in the subsequent recognition and verification process. Palmprint matching: comparing the extracted palmprint features with the palmprint features stored in the database to determine the identity of the palmprint. Appropriate algorithms will be used in the matching process to ensure the accuracy and efficiency of recognition, which will not be described in detail in this example.

[0063] As an example, the sound information recognition and verification process may include: voice collection, voice preprocessing, voice feature extraction, voice comparison and recognition, etc. Specifically, voice collection: collect personal voice samples through microphones and other devices. The collected voice samples should be clear and noise-free to ensure the accuracy of subsequent processing. Voice preprocessing: preprocess the collected voice samples, including filtering, noise reduction, standardization and other operations. The purpose of preprocessing is to remove interference components in the voice signal and improve the quality of the signal. Voice feature extraction: extract representative and distinguishing feature parameters such as pitch, timbre, speaking speed, etc. from the preprocessed voice samples. These feature parameters will be used in the subsequent recognition and verification process. Voice comparison and recognition: compare the extracted voice features with the reference templates in the database to achieve identity recognition. In the comparison process, appropriate algorithms can be used to ensure the accuracy and efficiency of recognition, which will not be repeated in this example. If the match is successful, the verification is passed; otherwise, the verification fails.

[0064] It can be seen that in terms of security, this embodiment uses strict access control and identity authentication, real-time monitoring and early warning systems, network security protection and other measures. These measures work together to ensure the security of the intelligent cabinet and the data inside the intelligent cabinet, and provide reliable security for data protection. Identity authentication mechanism: The intelligent cabinet adopts advanced identity authentication mechanisms, such as biometrics and key authentication, to ensure that only authorized personnel can access and manage the equipment, thereby effectively preventing unauthorized access. In addition, the software management system can also set different access rights for different users to achieve refined permission management. In this way, even if a user account is stolen, the potential security risks can be minimized.

[0065] In an exemplary embodiment, the software management system also includes: a security module, which is used to shoot a video within a preset distance range from the intelligent cabinet, and divide the video into frames to obtain multiple frame images, and use a pre-configured image recognition model to recognize all frame images, and compare the monitored object in the image recognition result with the target person; when the comparison results of the monitored object and the target person are consistent, a comparison success signal is generated, and the comparison success signal is transmitted to the control module to open the intelligent cabinet through the control module; or, when the comparison results of the monitored object and the target person are inconsistent, a comparison failure signal is generated, and the comparison failure signal is transmitted to the storage module to delete all data in the storage module. In this embodiment or other embodiments, the pre-configured image recognition model can be obtained based on deep convolutional neural network training. The training process of the image recognition model may be: obtaining the values ​​of the convolution layer parameters and the fully connected layer parameters of the deep convolution neural network; taking the image sample with the biological identity feature as input and the biological identity feature corresponding to the image sample as output, training the deep convolution neural network, and updating the values ​​of the convolution layer parameters and the fully connected layer parameters; wherein the biological identity features include but are not limited to: facial features, ear features, iris features, fingerprint features, palm features, retinal features, etc. When the values ​​of the convolution layer parameters converge to the set convolution layer parameter threshold, and the values ​​of the fully connected layer parameters converge to the set fully connected layer parameter threshold; based on the current values ​​of the convolution layer parameters, the values ​​of the fully connected layer parameters and the neural network architecture of the deep convolution neural network, the image recognition model is obtained. As an example, when the image taken by the security module contains facial features, the corresponding image comparison and recognition process includes: using the Adaboost face detection algorithm based on the Haar-Like feature to detect facial key points, cutting out the image in a unified mode, and scaling it to a unified size. The landmark method is used to locate and align the facial feature points such as eyes, eyebrows, nose, mouth, and facial contour in the image. The first facial feature and the second facial feature are extracted respectively using the image recognition model, wherein the first facial feature represents the facial feature in the corresponding image of the monitored object, and the second facial feature represents the facial feature in the corresponding image of the target person. According to the similarity measurement value between the facial features extracted from the two images, it is judged that if the similarity measurement value is greater than or equal to the preset value, it means that the comparison results of the monitored object and the target person are consistent; if the similarity measurement value is less than the preset value, it means that the comparison results of the monitored object and the target person are inconsistent. In practical applications, the similarity measurement value can be implemented in a variety of ways, for example, the similarity measurement value includes: cosine distance, Mahalanobis distance and Euclidean distance. It can be seen from this that the real-time image of the monitored object in this embodiment is compared with the image of the identity registration in advance, which can ensure that only authorized personnel can approach and operate the intelligent cabinet, and can strengthen the protection of data security in the intelligent cabinet.

[0066] In an exemplary embodiment, the software management system further includes a power supply module, which is connected to the environment monitoring module, the material monitoring module, the communication module, the switch module and the control module, and is used to supply power to the environment monitoring module, the material monitoring module, the communication module, the switch module and the control module. The power supply module is composed of an independent power supply system; or, the power supply module is composed of a solar panel or a generator; or, the power supply module is composed of an independent power supply system, a solar panel and a generator.

[0067] In an exemplary embodiment, a moving mechanism is connected to the lower end of the intelligent cabinet, and the intelligent cabinet moves under the drive of the moving mechanism; a shock-absorbing and anti-shake structure for reducing vibration and jitter is also provided at the bottom of the intelligent cabinet; a fixed structure for fixing the position is also provided at the bottom of the intelligent cabinet. It can be seen that in this embodiment, by connecting the moving mechanism and the shock-absorbing and anti-shake structure at the lower end of the intelligent cabinet, the intelligent cabinet can be moved quickly and stably in field mission support and vehicle-mounted use, which can meet the needs of rapid deployment, stable operation and intelligent management, and has significant convenience. Specifically, the intelligent cabinet of this embodiment has the following characteristics:

[0068] 1) Portability of transportation.

[0069] The intelligent cabinet adopts a compact design to reduce the floor space and volume. At the same time, it is made of lightweight materials to reduce the weight of the intelligent cabinet. These designs make the intelligent cabinet take up less space during transportation and reduce the burden of handling. The intelligent cabinet is equipped with handles or wheels for easy handling to form a mobile mechanism. These designs make the intelligent cabinet easy to move within a short distance, further enhancing its portability in transportation and handling.

[0070] 2) Convenience of vehicle operation.

[0071] Compact design: The intelligent cabinet is small in size and suitable for installation on the vehicle platform. It does not take up too much space and is convenient for the fleet to move quickly.

[0072] Shock absorption and anti-shake: The bottom of the intelligent cabinet is designed with a shock absorption and anti-shake structure to ensure the safety and stability of the intelligent cabinet and the data inside the intelligent cabinet during vehicle driving.

[0073] Easy to fix: There is a fixing structure at the bottom of the intelligent cabinet, which can be easily fixed in the car to prevent the intelligent cabinet from sliding or tipping over during driving.

[0074] 3) Mobile command center.

[0075] The intelligent cabinet adopts a modular, integrated and integrated design. This design greatly reduces the time for on-site installation and debugging of the intelligent cabinet, allowing the intelligent cabinet to be built in a very short time as a small, temporary mobile command center.

[0076] 4) Field mission support.

[0077] Rapid deployment: The intelligent cabinet adopts a modular design, which is easy to assemble and disassemble quickly, and is suitable for rapid deployment needs during field mission support.

[0078] Environmental adaptability: The intelligent cabinet has good environmental adaptability and can operate stably in harsh outdoor environments without the need for additional environmental control equipment.

[0079] Energy independence: Intelligent cabinets can be equipped with independent power systems, such as solar panels or generators, to ensure normal operation in the wild without grid power supply.

[0080] According to the above records, in an exemplary embodiment, the embodiment also provides a mobile intelligent cabinet based on multiple communication links as in any of the above embodiments. Specifically, in terms of appearance, the intelligent cabinet in this embodiment adopts a 42U-19-inch standard intelligent cabinet, which complies with the electronic computer room design specification, computer site technical conditions, electronic equipment lightning protection guidelines and other standard specifications. Among them, the standardized design of the intelligent cabinet in this embodiment is mainly reflected in the following aspects:

[0081] 1) Standardization of size and structure.

[0082] Unified size: The intelligent cabinet adopts a standard size design, such as the 19-inch standard rack size. This design facilitates the compatibility of the intelligent cabinet with other equipment and ensures the interchangeability and versatility of other equipment.

[0083] Modular design: The interior of the intelligent cabinet adopts a modular design. Each module has a specific function, such as power supply module, computing module, storage module, etc. This modular design simplifies the installation and maintenance process.

[0084] 2) Standardization of interfaces and connections.

[0085] Standardized interfaces: The devices inside the intelligent cabinet are connected using standardized interfaces, such as RJ45 network interface, USB interface, etc., to ensure the connection stability and compatibility between different devices inside the intelligent cabinet. The external intelligent cabinet adopts a unified external interface standard, such as the power supply module, network communication module, etc.

[0086] Unified wiring specifications: The wiring inside the intelligent cabinet follows unified specifications to ensure that the cables are neat and orderly, which is convenient for troubleshooting and maintenance.

[0087] 3) Standardization of power and heat dissipation.

[0088] Power supply module configuration: The intelligent cabinet adopts standardized power supply configuration, such as redundant power supply design, to ensure the stability and reliability of power supply. At the same time, the power interface also complies with national standards or other standards, which is convenient for users to connect the power supply as needed. As an example, the power supply module of the intelligent cabinet in this embodiment can be composed of an independent power supply system; it can also be composed of solar panels or generators; it can also be composed of an independent power supply system, solar panels and generators.

[0089] Heat dissipation module design: The design of the heat dissipation module (such as fans, heat sinks, etc.) inside the intelligent cabinet also follows certain standards to ensure effective heat dissipation in various environments and maintain the normal operating temperature of the equipment.

[0090] 4) Safety and protection standardization.

[0091] Safety protection measures: The safety protection measures of intelligent cabinets (such as physical locks, fingerprint recognition, etc.) also comply with relevant standards to ensure the safety of the equipment. At the same time, intelligent cabinets also comply with relevant safety standards such as electromagnetic shielding and lightning protection.

[0092] 5) Standardization of management and monitoring.

[0093] The intelligent cabinet is equipped with an intelligent software management system that complies with national standards and supports remote monitoring and management. Users can configure, monitor and troubleshoot the equipment in the intelligent cabinet through standard network protocols.

[0094] It can be seen that the design of the intelligent cabinet in this embodiment covers multiple aspects such as size and structure, interface and connection, power and heat dissipation, safety and protection, management and monitoring. It not only improves the compatibility of the intelligent cabinet with other equipment, but also improves the interchangeability and versatility of other equipment, and simplifies the installation and maintenance process, reducing the overall cost of users. At the same time, standardized design also helps to improve the overall performance and stability of the intelligent cabinet, ensuring that it can meet the efficient and convenient management and analysis of big data services.

[0095] In summary, the present invention provides a mobile intelligent cabinet based on multiple communication links, which monitors the environmental parameters in the intelligent cabinet in real time, and sends a first warning signal when the environmental parameters do not meet the preset environmental parameters; and, monitors the material categories in the intelligent cabinet and the inventory quantity corresponding to each material category in real time, and sends a second warning signal when the material category is less than the preset material category, or the inventory quantity corresponding to each category is less than the preset quantity; then encrypts the first warning signal and the second warning signal to generate an encrypted signal; and transmits the encrypted signal, and receives and decrypts the encrypted signal to obtain a decrypted signal; and, based on the decrypted signal, generates a material supply route, and feeds back the material supply route to a predetermined target object; wherein the target object includes: target personnel, unmanned equipment. It can be seen from this that the present invention monitors the material storage environment in real time to avoid aging, corrosion, etc. of the materials; at the same time, the present invention can monitor the flow speed and use efficiency of the materials in real time, avoid excessive procurement, reduce capital occupation and material waste, and reduce costs. Moreover, the present invention can feed back the material supply route to the predetermined target object, ensuring that in the event of an emergency or emergency, the material transportation route can be planned in time to improve the material transportation efficiency. In addition, the present invention can also authenticate the user's authority. After the user fails to pass the authority authentication, the material storage data is deleted in time to avoid data leakage. In addition, since security is the core of material reserves, the present invention combines trusted computing technology and operating system security technology, and realizes the integrity measurement of the intelligent cabinet hardware and software through the establishment and transmission of the trust chain, provides sustainable security protection, prevents the intelligent cabinet hardware and software from being tampered with and the information from being stolen, avoids the intelligent cabinet from being attacked, and provides all-round security protection for the intelligent cabinet, ensuring the key application security, trustworthiness and stability of external services. At the same time, the intelligent cabinet fully considers the dual needs of physical protection and information security in design. In terms of physical protection, the intelligent cabinet adopts high-strength, explosion-proof materials, and cooperates with multiple access control systems, including biometrics, password verification, etc., to ensure that only authorized personnel can approach and operate. Information transmission is carried out through encryption technology to prevent data from being intercepted or tampered with, and ensure the security of material information. In addition, the integrated video surveillance and intrusion alarm system further enhances the security defense system and forms an all-round security barrier.

[0096] It should be understood that, although the terms first, second, etc. may be used to describe warning signals, etc. in the embodiments of the present invention, these terms are only used to distinguish warning signals from each other. For example, without departing from the scope of the embodiments of the present invention, the first warning signal may also be referred to as the second warning signal, and similarly, the second warning signal may also be referred to as the first warning signal.

[0097] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by a person of ordinary skill in the art without departing from the spirit and technical concept disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. A mobile intelligent cabinet based on multiple communication links, characterized in that: The intelligent cabinet is internally provided with a software management system, and the software management system includes: An environmental monitoring module, used for real-time monitoring of environmental parameters in the intelligent cabinet, and issuing a first warning signal when the environmental parameters do not meet the preset environmental parameters; wherein the intelligent cabinet is used to store one or more materials; A material monitoring module, used for real-time monitoring of the material categories in the intelligent cabinet and the inventory quantity corresponding to each material category, and issuing a second warning signal when the material categories are less than the preset material categories or the inventory quantity corresponding to each category is lower than the preset quantity; A communication module, used for encrypting the first warning signal and the second warning signal to generate an encrypted signal; A switch module, used for transmitting the encrypted signal; A control module is used to receive and decrypt the encrypted signal to obtain a decrypted signal; and generate a material supply route based on the decrypted signal, and feed back the material supply route to a predetermined target object; wherein the target object includes: a target person and an unmanned device; The process of the switch module transmitting the encrypted signal includes: Create command data packets and broadcast them; When all the communication link relay nodes receive the command data packet, and the destination address in the command data packet is the same as the address of at least one of the communication link relay nodes, the communication link relay node corresponding to the same address is recorded as the target communication link node, and based on the channel number of the target communication link node, the previous link node channel number and the next link node channel number of the target communication link node are calculated, and the previous link node channel number and the next link node channel number of the target communication link node are stored in the channel number table of the target communication link node, and the command data packet is continued to be forwarded, and after the forwarding is completed, the target communication link node channel is jumped to prepare to receive the status data packet; and when the target communication link node channel receives the status data packet, the notification data packet is jumped to the previous link node channel of the target communication link node; When the communication link end node receives a command data packet, and the destination address in the command data packet is the same as the address of the communication link end node, a status data packet is created, and the status data packet is sent to the next link node channel of the communication link end node. After the status data packet is sent, the communication link end node channel is jumped to prepare to receive the notification data packet; and after the communication link end node channel receives the notification data packet sent by the previous link node channel of the target communication link node, the notification data packet is forwarded to the previous link node channel of the communication link end node; When the control module receives a notification data packet forwarded by the previous link node channel of the communication link end node, marking the completion of the establishment of multiple communication links, the switch module starts to transmit the encrypted signal; The command data packet is used to configure the frequency-selective communication frequency for the nodes in the selected route, the status data packet is used to check whether the downlink transmission link is correctly established, and the notification data packet is used to check whether the uplink transmission link is correctly established.

2. The mobile intelligent cabinet based on multiple communication links according to claim 1 is characterized in that: The process of the switch module transmitting the encrypted signal further includes: When the control module receives the notification data packet, it jumps to the next link node channel of the communication link end node to send the downlink data packet; When a downlink data packet of the next link node channel of the communication link end node arrives, the communication link relay node synchronizes its own time slot with the time slot of the previous link node of the communication link end node, and jumps to the next link node channel of the communication link relay node to forward the downlink data packet; When a downlink data packet of the next link node channel of the communication link relay node arrives, the switch module synchronizes its own time slot with the time slot of the previous link node of the communication link relay node, and jumps to the previous link node channel of the communication link relay node to send an uplink data packet; If the control module has no data packets to send, it will no longer send downlink data packets; If all communication link relay nodes do not receive a downlink data packet or receive an idle data packet within three consecutive cycles, the encrypted signal transmission process ends; alternatively, if the switch module does not receive a downlink data packet or receives an idle data packet within three consecutive cycles, no uplink data packet will be sent, and the encrypted signal transmission process ends.

3. The mobile intelligent cabinet based on multiple communication links according to claim 1 is characterized in that: The software management system also includes: A storage module, used to store all data of the environment monitoring module, the material monitoring module, the communication module, the switch module and the control module; The information security module is used to provide a biometric information recognition interface and receive the biometric information to be verified input by an external person based on the biometric information recognition interface, and generate a verification success signal after the biometric information to be verified passes the verification, and transmit the verification success signal to the control module to open the intelligent cabinet through the control module; or, after the biometric information to be verified fails the verification, generate a verification failure signal, and transmit the verification failure signal to the storage module to delete all data in the storage module.

4. The mobile intelligent cabinet based on multiple communication links according to claim 3 is characterized in that: The software management system also includes: The security module is used to shoot a video within a preset distance range from the intelligent cabinet, divide the video into frames to obtain multiple frame images, and use a pre-configured image recognition model to recognize all frame images, and compare the monitored object in the image recognition result with the target person; when the comparison results of the monitored object and the target person are consistent, a comparison success signal is generated, and the comparison success signal is transmitted to the control module to open the intelligent cabinet through the control module; or, when the comparison results of the monitored object and the target person are inconsistent, a comparison failure signal is generated, and the comparison failure signal is transmitted to the storage module to delete all data in the storage module.

5. The mobile intelligent cabinet based on multiple communication links according to any one of claims 1 to 4, characterized in that: The environmental monitoring module includes: a temperature sensor, a humidity sensor, an air pressure sensor, a dust sensor, a smoke sensor and a water immersion sensor; The temperature sensor is used to monitor the temperature parameters in the intelligent cabinet in real time, the humidity sensor is used to monitor the humidity parameters in the intelligent cabinet in real time, the air pressure sensor is used to monitor the air pressure parameters in the intelligent cabinet in real time, the dust sensor is used to monitor the dust parameters in the intelligent cabinet in real time, the smoke sensor is used to monitor the smoke parameters in the intelligent cabinet in real time, and the water immersion sensor is used to monitor the moisture parameters in the intelligent cabinet in real time; Wherein, the environmental parameters include the temperature parameter, the humidity parameter, the air pressure parameter, the dust parameter, the smoke parameter and the moisture parameter.

6. The mobile intelligent cabinet based on multiple communication links according to claim 1 is characterized in that: The software management system also includes a power supply module, which is connected to the environment monitoring module, the material monitoring module, the communication module, the switch module and the control module, and is used to supply power to the environment monitoring module, the material monitoring module, the communication module, the switch module and the control module.

7. The mobile intelligent cabinet based on multiple communication links according to claim 1 is characterized in that: The process of the control module generating a material supply route based on the decrypted signal includes: Acquire the geographical location information of the intelligent cabinet and the geographical location information of the target object; Generate multiple travel routes based on the traffic road environment between the geographical location information of the intelligent cabinet and the geographical location information of the target object; The multiple travel routes are sorted according to travel time, and the travel route with the shortest travel time is used as the material supply route.

8. The mobile intelligent cabinet based on multiple communication links according to claim 3 is characterized in that: The biometric information to be verified includes at least one of the following: fingerprint information, iris information, palm print information, and voice information.

9. The mobile intelligent cabinet based on multiple communication links according to claim 6 is characterized in that: The power supply module is composed of an independent power supply system; Alternatively, the power supply module is composed of a solar panel or a generator; Alternatively, the power supply module is composed of an independent power supply system, a solar panel and a generator.

10. The mobile intelligent cabinet based on multiple communication links according to claim 1, characterized in that: The lower end of the intelligent cabinet is connected with a moving mechanism, and the intelligent cabinet moves under the drive of the moving mechanism; The bottom of the intelligent cabinet is also provided with a shock-absorbing and anti-shake structure for reducing vibration and shaking; The bottom of the intelligent cabinet is also provided with a fixing structure for fixing the position; The intelligent cabinet is also provided with a heat dissipation module, and the heat dissipation module includes: a fan and a heat sink.

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