A data privacy protection processing method and device using deep learning

Abstract

The application belongs to the technical field of data privacy protection, and particularly relates to a data privacy protection processing method and device using deep learning. The background recognition module is used to recognize and screen the secret-related targets possibly existing in the data, and the information of the pictures possibly causing leakage is backed up as a privacy information package. The application is suitable for secret units or normal enterprises to carry out work and needs to keep the work address secret. Therefore, for the pictures needing to be disclosed in the work process, including the pictures taken by employees and the pictures needed for enterprise promotion, the above-mentioned processing method is used to process these pictures, and the pictures possibly causing privacy information leakage are screened out, which meets the security needs of work development. Especially, the picture background part which is easy to be ignored in manual screening and the things with identification features possibly cause the leakage of address privacy information.

Description

Technical Field

[0001] This invention belongs to the field of data privacy protection technology, specifically a data privacy protection processing method and apparatus utilizing deep learning. Background Technology

[0002] In today's life, taking photos has become a common way for us to record our daily lives and share wonderful moments. Whether it's beautiful scenery on a trip, heartwarming scenes in life, or novel things encountered by chance, people habitually pick up their phones or cameras, press the shutter, and then share these photos on social media platforms to share those beautiful moments with family and friends. However, many people don't realize that a seemingly ordinary photo often contains a lot of information, and if not careful, it can become a source of information leaks.

[0003] In scenarios where privacy information such as addresses needs to be kept confidential, most people lack the knowledge of information security and often manually blur the people and text in the photos, ignoring the identifiable features of buildings, plants, and other objects in the background, thus leading to the leakage of privacy information. Summary of the Invention

[0004] To overcome the shortcomings of existing technologies and solve the aforementioned technical problems, this invention proposes a data privacy protection processing method and apparatus utilizing deep learning.

[0005] The technical solution adopted by this invention to solve its technical problem is as follows: This invention proposes a data privacy protection processing method using deep learning, the specific steps of which are as follows:

[0006] S1: Obtain the target image through the information input client, and analyze the human images in the target image through the human recognition module to identify the identity information of the human;

[0007] S2: Based on the confidential personal identity information pre-input into the privacy database, compare the personal information present in the target image, and desensitize the personal image information in the target image that needs to be kept confidential.

[0008] S3: A background recognition module is trained based on a deep learning module. The background image part of the target image, except for the human face image, is cropped and analyzed separately. Classified targets contained in the background image are screened out and desensitized.

[0009] S4: For the target images containing confidential personal identification information and background images containing confidential targets, integrate the client information, the time information of uploading the target image, and the location information to obtain a privacy information package and transmit it to the management terminal. Back up the privacy information package to the data storage module in the data processing server, encrypt the privacy information package, and set read permissions.

[0010] Preferably, the types of classified targets in step S3 above include characteristic buildings, starry skies, and characteristic plants.

[0011] Preferably, the training process of the classified target model in the deep learning module includes:

[0012] S31: When the classified object is the location where the target image was taken, collect images of the surrounding environment of the location where the image was taken, including images of buildings and plants with identifiable features, and use these images as test images to form a training set;

[0013] S32: Transfer the images from the training set to the lightweight deep learning training framework Darknet, and train it to obtain a neural network model that can filter out images with recognizable features.

[0014] S33: Randomly download images of buildings and plants of the same type but without recognizable features from the internet, and mix these images with images from the training set to create a test set;

[0015] S34: Input the test set images into the trained neural network model, so that it can filter the images with recognition features, select the part of the original training set from the filtered images, and calculate the recognition accuracy of the neural network model.

[0016] S35: Once the recognition accuracy is higher than 95%, the neural network model can be deployed to the data processing server as the core of the deep learning module to participate in the screening of classified targets in the target image.

[0017] A data privacy protection processing device utilizing deep learning, applicable to the aforementioned data privacy protection processing method, includes a data processing server and a data storage module. The data storage module includes a data storage device. The data processing server includes a processing cabinet, which is fixed to the floor of the computer room. The data storage device is installed on a storage bracket inside the processing cabinet and connected to a background recognition module inside the processing cabinet via data cables.

[0018] A transfer port is provided at the bottom of the processing box corresponding to the storage bracket. The storage bracket is fixed to the upper surface of a closed plate that is slidably disposed inside the transfer port. A transfer groove is provided on the floor of the computer room at the lower side of the processing box, directly opposite the transfer port. The closed plate at the top of the transfer groove is fixedly connected to the closed plate, and the closed plate is connected to a telescopic device provided at the bottom of the transfer groove. By transferring the data storage device into the transfer groove, the data storage device is physically disconnected.

[0019] Preferably, the storage bracket includes a top plate and a bottom plate, and a side plate is vertically arranged between the top plate and the bottom plate to realize the connection between the top plate and the bottom plate;

[0020] A partition is evenly arranged between the top plate and the bottom plate, dividing the area between the top plate and the bottom plate into multiple storage cavities. The data storage device is fixed inside the storage cavity, and a connection slot is provided on both sides of the storage cavity. The data wire passes through the connection slot to connect the background recognition module to the data storage device.

[0021] A rotating cutter is provided on the inner wall of the connecting groove. The rotating cutter is connected to a rotating device on the inner wall of the connecting groove to cut the data wire.

[0022] Preferably, a temperature-controlled cavity is provided on the floor of the computer room located on both sides of the storage cavity, and the temperature-controlled cavity is filled with a cooling medium;

[0023] The partition extends through the side plate and protrudes outward from both sides near the connecting groove. A blocking plate is provided on the inner wall of the storage cavity at the location corresponding to the partition. The blocking plate is slidably connected to the side wall of the storage cavity. One end of the blocking plate extends into the temperature control cavity and is connected to the propulsion device inside the temperature control cavity, while the other end is embedded in the storage cavity.

[0024] Preferably, the top plate has a hollow interior forming an isolation cavity, and the top plate has a double-layer structure. The upper part of the isolation cavity is a heat insulation layer made of marble, and the lower part of the isolation cavity is a fixing layer made of metal.

[0025] The inner wall of the top of the transfer tank is provided with a fixing hole, and a fixing tube is provided inside the fixing hole. The fixing tube is connected to the output end of the propulsion device and extends into the temperature control cavity and comes into contact with the cooling medium. Guide holes are provided on both sides of the top plate at the locations corresponding to the fixing holes.

[0026] Preferably, the partition is hollow to form a cooling chamber, and a communication port is provided at the end of the partition corresponding to the end of the blocking plate. A transmission pipe is provided on the end of the blocking plate located inside the storage chamber. The transmission pipe is part of the gas extinguishing system and is responsible for transporting extinguishing gas. The pipe opening of the blocking plate extends out to the protruding end facing the partition.

[0027] Preferably, a locking groove is provided at the end of the blocking plate corresponding to the protruding end of the partition, and the transmission pipe is located on the inner wall of the locking groove;

[0028] A sealing groove is provided on the inner wall of the clamping groove, and the cross-section of the sealing groove is arc-shaped; a sealing strip is provided at the corresponding part of the protruding end of the partition, and the sealing strip is made of elastic material.

[0029] The beneficial effects of this invention are as follows:

[0030] The present invention discloses a data privacy protection processing method and apparatus utilizing deep learning. This application is applicable to confidential units or normal enterprises that need to keep their work addresses confidential. Therefore, for images that need to be made public during the work process, including images taken by employees and images needed for corporate publicity, the above processing method is used to process these images to identify those that may cause privacy information leakage, thus meeting the confidentiality requirements of the work. In particular, it targets the background of images that are easily overlooked in manual screening, where objects with identifiable features may cause the leakage of address privacy information. Attached Figure Description

[0031] The invention will now be further described with reference to the accompanying drawings.

[0032] Figure 1 This is a flowchart of the data privacy protection processing method in this invention;

[0033] Figure 2 This is a flowchart of the training process for the classified target model in the deep learning module of this invention;

[0034] Figure 3 This is a perspective view of the data privacy protection processing device in this invention;

[0035] Figure 4 This is a partial cross-sectional view of the data privacy protection processing device in this invention;

[0036] Figure 5 yes Figure 4 A magnified view of a section at point A in the middle;

[0037] Figure 6 yes Figure 4 A magnified view of a section at point B in the middle;

[0038] Figure 7This is a perspective view of the storage bracket in this invention;

[0039] Figure 8 This is a perspective view of the blocking plate in this invention.

[0040] In the diagram: Data processing server 1, processing box 11, transfer port 12, transfer plate 13, data storage 2, data cable 21, storage bracket 3, top plate 31, isolation cavity 311, flow guide hole 312, heat insulation layer 313, fixing layer 314, bottom plate 32, side plate 33, partition 34, cooling cavity 341, connecting port 342, sealing strip 343, storage cavity 35, connecting groove 36, rotary cutter 361, transfer groove 4, sealing plate 41, temperature control cavity 42, blocking plate 43, transmission pipe 431, clamping groove 432, sealing groove 433, fixing hole 44, fixing pipe 441. Detailed Implementation

[0041] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0042] Example 1:

[0043] As shown in the attached diagram of the instruction manual. Figures 1-2 As shown, in scenarios where privacy information such as addresses needs to be kept confidential, existing methods typically involve manually blurring people and text in photographs, ignoring identifiable features in the background such as buildings and plants, leading to privacy leaks. Therefore, this application proposes a data privacy protection processing method using deep learning. The specific steps of the processing method are as follows:

[0044] S1: Obtain the target image through the information input client, and analyze the human images in the target image through the human recognition module to identify the identity information of the human;

[0045] S2: Based on the confidential personal identity information pre-input into the privacy database, compare the personal information present in the target image, and desensitize the personal image information in the target image that needs to be kept confidential.

[0046] S3: A background recognition module is trained based on a deep learning module. The background image part of the target image, except for the human face image, is cropped and analyzed separately. Classified targets contained in the background image are screened out and desensitized.

[0047] S4: For the target images containing the identity information of classified persons, and the target images containing classified targets in the background images, the client information, the time information of uploading the target image and the location information are integrated to obtain a privacy information package and transmitted to the management terminal. The privacy information package is backed up to the data storage module in the data processing server 1, and the privacy information package is encrypted and read permissions are set.

[0048] For example, this application applies to confidential units or normal enterprises that need to keep their work addresses confidential. Therefore, for images that need to be made public during the work process, including images taken by employees and images needed for corporate publicity, the above processing method is used to process these images to identify those that may cause the leakage of privacy information, thus meeting the confidentiality requirements of the work. In particular, for the background of images that are easily overlooked in manual screening, objects with identifiable features may cause the leakage of address privacy information.

[0049] Therefore, image information collected by employees' mobile phones, computers, cameras used for publicity and other media devices needs to be uploaded to data processing server 1 through the client for processing. The video information is converted into images, and the target image information in the images is extracted. The background recognition module is used to identify and screen potentially confidential targets. Images that may cause leakage, along with the photographer's information, are backed up as privacy information packages and sent to the information security department at the management end. Personnel who may cause leakage are warned or even held accountable. If necessary, confidential targets are de-identified, for example, by using Gaussian filtering to blur the image information, thereby ensuring the secure use of privacy information.

[0050] The classified target types in step S3 above include characteristic buildings, starry skies, and characteristic plants. For the starry sky portion of the image background, the photography-related starry sky recognition software included in the background recognition module can identify the starry sky portion and blur it, making it impossible for the public to locate the shooting location through the background starry sky after the image is released. Regarding buildings and plants with unique local characteristics, they are identified through a background recognition module with a deep learning module at its core. Specifically, the training process of the classified target model in the deep learning module includes:

[0051] S31: Based on the need to keep the target image shooting location confidential, collect images of the surrounding environment of the shooting location, including images of buildings and plants with identifiable features, and use these images as test images to form a training set;

[0052] S32: Transfer the images from the training set to the lightweight deep learning training framework Darknet, and train it to obtain a neural network model that can filter out images with recognizable features.

[0053] S33: Randomly download images of buildings and plants of the same type but without recognizable features from the internet, and mix these images with images from the training set to create a test set;

[0054] S34: Input the test set images into the trained neural network model, so that it can filter the images with recognition features, select the part of the original training set from the filtered images, and calculate the recognition accuracy of the neural network model.

[0055] S35: Once the recognition accuracy is higher than 95%, the neural network model can be deployed to data processing server 1 as the core of the deep learning module to participate in the screening of classified targets in the target image.

[0056] Furthermore, in addition to the aforementioned characteristic buildings, starry skies, and characteristic plants, the deep learning module can also identify objects such as mountain features and geographical features of the location. Inputting as many things with local identification characteristics as possible according to the actual situation can improve the confidentiality and security of user privacy information.

[0057] Example 2:

[0058] As shown in the attached diagram of the instruction manual. Figures 3-8 As shown, based on the above data privacy protection processing method, in order to further realize the security of privacy data storage, this application provides a data privacy protection processing device using deep learning, including a data processing server 1 and a data storage module. The data storage module includes a data storage device 2. The data processing server 1 includes a processing box 11, which is fixed on the floor of the computer room. The data storage device 2 is installed on a storage bracket 3 inside the processing box 11 and is connected to the background recognition module inside the processing box 11 through a data cable 21.

[0059] A transfer port 12 is provided at the bottom of the processing box 11, corresponding to the storage bracket 3. The storage bracket 3 is fixed to the upper surface of the closed plate 41 that is slidably disposed inside the transfer port 12. A transfer trough 4 is provided on the floor of the computer room, located on the lower side of the processing box 11, directly opposite the transfer port 12. The closed plate 41 at the top of the transfer trough 4 is fixedly connected to the bottom of the storage bracket 3, and the closed plate 41 is connected to the telescopic device provided at the bottom of the transfer trough 4. The main body of the telescopic device is located at the bottom of the transfer trough 4, and the output end is connected to the closed plate 41. After startup, the data storage device 2 can be physically disconnected by transferring it into the transfer trough 4.

[0060] Specific workflow: Based on the specific workflow in Example 1, in the above-mentioned privacy processing of information, the background recognition module inside the data processing server 1 provides computational support, and then the processed information is formed into an information package and stored in the data storage device 2 hardware located in the information storage module. The data storage device 2 is located inside the processing box 11. When there is an abnormal theft of the information package inside the data storage device 2, on the one hand, an alarm is triggered to notify maintenance personnel to track down the information thief and prevent the theft of the information package; on the other hand, in order to ensure the security of various privacy information inside the information package, the data storage device 2 can be physically cut off.

[0061] Regarding the physical disconnection method, this application provides a possible implementation scheme. Specifically, the telescopic device inside the transfer slot 4 is directly activated, causing the sealing plate 41 on the top opening of the transfer slot 4 to move the connected storage bracket 3 downwards. As the sealing plate 41 reaches the bottom of the transfer slot 4, the top of the storage bracket 3 moves to the top opening position of the transfer slot 4, thereby closing the top opening of the transfer slot 4. This allows the data storage device 2 on the storage bracket 3 to leave the processing server directly, completely severing the data connection with the background recognition module network, achieving a physical disconnection, and directly blocking the theft of privacy information packets. Furthermore, because the data storage device 2 moves into the transfer slot 4, and the inner wall of the transfer slot 4 is constructed of sturdy steel plates and marble, and can only be unlocked with a special password after the movement is completed, causing the storage bracket 3 to reset, even if thieves enter the server room, they cannot access the data storage device 2, more effectively preventing the illegal theft of privacy information packets in the data storage device 2.

[0062] Furthermore, due to the robustness of the transfer tank 4, in the event of a fire in the computer room, and in an emergency requiring the priority evacuation of personnel, if the data storage device 2 cannot be moved in time, the telescopic device can be directly activated to move the data storage device 2 and storage bracket 3 into the transfer tank 4. This isolates the internal environment of the computer room, preventing fire and high temperatures from penetrating into the transfer tank 4, thereby better protecting the internal data storage device 2 and ensuring proper protection of privacy information packets, avoiding the loss of a large number of privacy information packets due to damage to the data storage device 2.

[0063] Example 3:

[0064] Based on Embodiment 2, the storage bracket 3 includes a top plate 31 and a bottom plate 32, and a side plate 33 is vertically provided at the edge of the area between the top plate 31 and the bottom plate 32 to realize the connection between the top plate 31 and the bottom plate 32;

[0065] A partition 34 is evenly and horizontally arranged between the top plate 31 and the bottom plate 32, dividing the area between the top plate 31 and the bottom plate 32 into multiple storage cavities 35. The data storage device 2 is fixed inside the storage cavity 35, and a connecting groove 36 is provided on both sides of the storage cavity 35. The data wire 21 passes through the connecting groove 36 to realize the connection between the background recognition module and the data storage device 2.

[0066] A rotary cutter 361 is provided on the inner wall of the connecting groove 36. The rotary cutter 361 is connected to a rotating device on the inner wall of the connecting groove 36. The rotating device here is a micro motor. After starting, it drives the rotary cutter 361 to rotate vertically, so as to cut the data wire 21.

[0067] Specific workflow: Based on the specific workflow in Example 2, the top plate 31 of the storage bracket 3 is made of high temperature and impact resistant material, which can be made of high-strength metal alloy or marble. In this way, after the storage bracket 3 moves down into the transfer groove 4, the top plate 31 replaces the sealing plate 41 to seal the top of the transfer groove 4, providing physical protection for the data storage device 2. It can also resist the downward explosive impact and flame penetration from the upper side in the event of a fire or explosion accident.

[0068] Furthermore, the internal area of ​​the storage bracket 3 is separated by a partition 34, while the side plate 33 achieves lateral closure of the storage cavity 35. However, the connecting slots 36 on both sides are retained. On the one hand, this allows the data wires 21, which are responsible for power supply and data transmission, to pass through the data processing server 1 and connect to the internal data storage device 2, ensuring its normal operation. On the other hand, the connecting slots 36 on both sides of the side plate 33 are at the same vertical height. Therefore, the cooling airflow direction generated by the cooling device inside the data processing server 1 is parallel to the line connecting the two connecting slots 36. In this way, after the cooling device is activated, the cooling air flows into the surface of the data storage device 2 from one connecting slot 36 and then flows from the other connecting slot 36, carrying away the heat generated by the data storage device 2 during operation and ensuring the smooth operation of the privacy data packet storage process.

[0069] When it is necessary to physically disconnect the electrical connection between the data storage device 2 and the outside world, the rotating cutter 361 inside the connection slot 36 is activated. The rotating cutter 361 is made of ceramic material, and its rotation trajectory coincides with the location of the data wire 21. Therefore, as the rotating device is activated, the rotating cutter 361 rotates to cut the data wire 21 inside the connection slot 36, thereby physically cutting off the data storage device 2. This also facilitates the subsequent movement of the data storage device 2 by the storage bracket 3, preventing the damage caused by pulling due to the secure connection of the data wire 21 from escalating.

[0070] Example 4:

[0071] Based on Embodiment 3, a temperature control cavity 42 is provided on the part of the computer room floor located on both sides of the transfer tank 4, and the temperature control cavity 42 is filled with a cooling medium.

[0072] The partition 34 extends through the side plate 33 and protrudes outward from both sides near the connecting groove 36. A blocking plate 43 is provided on the inner wall of the storage cavity 35 at the position corresponding to the partition 34. The blocking plate 43 is horizontally slidably connected to the side wall of the transfer groove 4. One end of the blocking plate 43 extends into the temperature control cavity 42 and is connected to the propulsion device inside the temperature control cavity 42. The other end is embedded in the transfer groove 4. The propulsion device here is a horizontally set electric telescopic device, and a vertical linkage plate is provided at the output end. The blocking plate 43 is connected to the linkage plate to achieve synchronous movement. The linkage plate is made of metal thermally conductive material, and the bottom of the linkage plate is immersed in the cooling medium to achieve cooling of the inside of the transfer groove 4.

[0073] Specific workflow: Based on the specific workflow in Example 2, the temperature control cavities 42 on both sides of the transfer tank 4 are filled with cooling medium. The cooling medium here can be the type of coolant commonly used in existing electronic devices, such as cooling water. The side of the temperature control cavity 42 closest to the transfer tank 4 is made of metal, which is convenient to absorb the heat that has penetrated into the transfer tank 4 in the event of a fire, thereby better protecting the internal data storage device 2 and ensuring data security.

[0074] Furthermore, when the storage bracket 3 moves down into the transfer slot 4 and the top plate 31 closes the top opening of the transfer slot 4, the protruding end of the partition 34 located on the storage bracket 3 near the opening of the connecting slot 36 is at the same vertical height as the corresponding blocking plate 43; then the propulsion device can be activated to drive the blocking plate 43 to move laterally towards the data storage 2, so that the end of the blocking plate 43 coincides with the protruding end of the partition 34, forming a blocking line to prevent air exchange between adjacent storage cavities 35 in the vertical direction along the gap between the end of the partition 34 and the transfer slot 4;

[0075] Even if the explosion causes the top plate 31 to rupture and allow the high temperature of the flames to penetrate downwards, the combination of the protruding end of the partition plate 34 and the blocking plate 43 will create layers of blocking lines along the vertical direction inside the transfer groove 4, thus confining the flames and high temperature to the upper area and protecting the data storage 2 in the lower area. Furthermore, high-value privacy data packets with higher confidentiality priority are located on the data storage 2 near the bottom. In this way, even if part of the data storage 2 is damaged by the flames and high temperature, the survival probability of high-value privacy data packets with higher confidentiality priority can be increased, thereby reducing the loss caused by data loss.

[0076] Example 5:

[0077] Based on Embodiment 4, the top plate 31 has a hollow interior forming an isolation cavity 311. The top plate 31 has a double-layer structure. The upper part of the isolation cavity 311 is a heat insulation layer 313 made of marble, and the lower part of the isolation cavity 311 is a fixing layer 314 made of metal. The inner wall of the top of the transfer tank 4 is provided with a fixing hole 44. A fixing tube 441 is provided inside the fixing hole 44. The fixing tube 441 is connected to the output end of the propulsion device and extends into the temperature control cavity 42 and comes into contact with the cooling medium. The top plate 31 has guide holes 312 on both sides corresponding to the fixing holes 44. The part of the fixing tube 441 located at the output end of the propulsion device and in the fixing hole 44 is made of rigid material to facilitate horizontal sliding under the pushing action, while the other parts are made of flexible material.

[0078] Specific workflow: Based on the specific workflow in Example 4, after the storage bracket 3 moves down, the top plate 31 moves to the top opening of the transfer tank 4. Then, the guide holes 312 on both sides of the top plate 31 align with the fixing holes 44 on the top opening of the transfer tank 4. As the propulsion device is started, the fixing tube 441 is pushed to slide out and embed into the guide hole 312 to fix the top plate 31. In this way, when a fire causes the temperature inside the computer room to rise, in order to prevent the heat from being transferred downward and affecting the data storage 2 inside the transfer tank 4, when the temperature sensor inside the transfer tank 4 detects that the temperature is too high, the micro water pump device at the end of the fixing tube 441 can be started to draw the cooling medium inside the temperature control chamber 42 on one side into the temperature control chamber 42 on the other side. During this process, the cooling medium passes through the fixing tube 441 inside the fixing hole 44 and through the communicating guide hole 312 into the isolation chamber 311 inside the top plate 31, and then flows out from the guide hole 312 on the other side.

[0079] The flowing cooling medium can absorb the heat transferred to the isolation cavity 311, thereby preventing the high temperature of the computer room from being transferred downwards and better protecting the data storage device 2 below. Furthermore, the top plate 31 has a double-layer structure. The upper heat insulation layer 313 is made of marble with high strength but poor thermal conductivity, which can prevent the heat inside the computer room from being transferred downwards. The part located below the isolation cavity 311 is the fixed layer 314, which is made of metal. It can conduct the heat near the inside of the transfer tank 4 to the cooling medium, thereby improving the cooling effect inside the transfer tank 4.

[0080] Furthermore, a metal mesh is adhered to the lower surface of the insulation layer 313. The metal mesh is in contact with the cooling medium inside the isolation cavity 311. On the one hand, it provides uniform cooling to the insulation layer 313 from bottom to top. On the other hand, when an explosion occurs inside the computer room, causing a violent impact to be transmitted to the insulation layer 313, the insulation layer 313 can absorb the impact vibration by breaking, reducing the downward transmission of impact vibration. The metal mesh on the lower surface can adhere to the insulation layer 313 after it breaks, limiting the individual fragments and keeping them largely intact, continuing to perform the heat insulation function. At this time, the micro water pump device at the end of the fixed pipe 441 can be turned off to avoid the loss of cooling medium. If the temperature sensor detects that too much heat is entering the transfer tank 4, causing excessive temperature rise, the micro water pump device can also be turned on to allow the cooling medium flowing into the isolation cavity 311 to flow out from the broken gaps, preventing the high temperature from penetrating downwards and ensuring the security of the data storage 2 inside the transfer tank 4 and the privacy data packets stored therein.

[0081] Example 6:

[0082] Based on Embodiment 5, the partition 34 is hollow to form a cooling chamber 341, and a communication port 342 is provided at the end of the partition 34 corresponding to the end of the blocking plate 43. A transmission pipe 431 is provided inside the blocking plate 43. The transmission pipe 431 is part of the conventional gas fire extinguishing system in the computer room and is responsible for transporting fire extinguishing gas, such as carbon dioxide gas. The pipe opening of the blocking plate 43 extends out to the protruding end of the partition 34.

[0083] Specific workflow: Based on the specific workflow in Example 5, after the propulsion equipment is started, it drives the blocking plate 43 to move laterally closer to the protruding end of the partition 34 until the end of the blocking plate 43 contacts the protruding end of the partition 34. Then, the port of the transmission pipe 431 at the end of the blocking plate 43 slides into the connecting port 342 provided on the protruding end of the partition 34. In this way, after the gas extinguishing system is started, the liquid extinguishing gas released from the high-pressure container quickly vaporizes and flows along the pipeline. Some of the extinguishing gas flows into the transmission pipe 431, and then flows into the cooling chamber 341 inside the partition 34 through the connecting port 342 on one side of the transmission pipe 431. Then, it flows out of the transfer tank 4 through the connection port 342 on the other side and the junction of the transmission pipe 431, and is added to the fire extinguishing facilities inside the machine room to participate in the fire control inside the machine room.

[0084] During this process, the temperature of the initially vaporized extinguishing gas decreases, so it can effectively remove the heat from the data storage device 2 when passing through the partition 34, effectively preventing the downward penetration of high temperature and better protecting the safety of the data storage device 2 inside the storage cavity 35.

[0085] Furthermore, since the part of the transmission pipe 431 located inside the temperature control cavity 42 is immersed in the cooling medium, it can also cool down the cooling medium, remove the heat of the cooling medium, and accelerate the vaporization of the extinguishing gas, thereby increasing its volume and diffusion range, and reducing the time required for later vaporization.

[0086] Example 7:

[0087] Based on Embodiment 6, a clamping groove 432 is provided at the end of the blocking plate 43 and the part corresponding to the protruding end of the partition plate 34, and the transmission pipe 431 is located on the inner wall of the clamping groove 432; a sealing groove 433 is provided on the inner wall of the clamping groove 432, and the cross section of the sealing groove 433 is arc-shaped; a sealing strip 343 is provided at the part corresponding to the protruding end of the partition plate 34, and the sealing strip 343 is made of elastic material;

[0088] Specific workflow: Based on the specific workflow in Example 6, as the storage bracket 3 moves down to the transfer slot 4, the propulsion device is started and pushes the connected blocking plate 43 to move closer. The end of the blocking plate 43 contacts the protruding end of the partition 34, and the protruding end of the partition 34 is embedded in the clamping groove 432 on the end of the blocking plate 43. At the same time, the end of the transmission pipe 431 is embedded in the corresponding guide hole 312 on the protruding end of the partition 34. Simultaneously, the partition 34 and the blocking plate 43 achieve a stable combination, forming a blocking line to block the downward penetration of high-temperature heat. At the same time, the sealing strip 343 set on the protruding end of the partition 34 is embedded in the sealing groove 433 on the inner wall of the clamping groove 432, making the combination between the protruding end of the partition 34 and the blocking plate 43 more stable, further preventing heat from penetrating downward from the gap between the protruding end of the partition 34 and the blocking plate 43, and protecting the information security of the data storage device 2.

[0089] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A data privacy protection processing apparatus using deep learning, comprising a data processing server and a data storage module, the data storage module comprising a data storage device, characterized in that: The data processing server comprises a processing box fixed on the ground of a machine room; The background recognition module is obtained based on deep learning module training, and is used for separately analyzing the background image part in the collected target image except the human face image, and screening the secret-related target in the background image for desensitization processing; The data storage is installed on the storage support inside the processing box and connected with the background recognition module inside the processing box through data wires; The bottom of the processing box is provided with a transfer port corresponding to the storage support, and the storage support is fixed on the upper surface of the slidingly arranged closing plate inside the transfer port. 2.The data privacy protection processing apparatus using deep learning of claim 1, wherein: The ground of the machine room is provided with a transfer groove opposite to the transfer port on the lower side of the processing box, the closing plate at the top of the transfer groove is fixedly connected with the bottom of the storage support, and the closing plate is connected with the telescopic device arranged at the bottom of the transfer groove. The storage support comprises a top plate and a bottom plate, and a side plate is vertically arranged between the top plate and the bottom plate to connect the top plate and the bottom plate. The top plate and the bottom plate are uniformly provided with partitions to uniformly divide the area between the top plate and the bottom plate into a plurality of storage cavities, the data storage is fixed inside the storage cavities, and the storage cavities are provided with connecting grooves on both sides. 3.The data privacy protection processing apparatus using deep learning of claim 2, wherein: The inner wall of the connecting groove is provided with a rotary cutter connected with a rotating device on the inner wall of the connecting groove to cut off the data wires. The ground of the machine room is provided with a temperature control cavity on both sides of the storage cavities, and the temperature control cavity is filled with cooling medium. 4.The data privacy protection processing apparatus using deep learning of claim 3, wherein: The side plate is extended through the side plate and protrudes outward on both sides of the connecting groove close to the partition, the transfer groove inner wall is provided with a blocking plate corresponding to the partition, and the blocking plate is slidingly connected with the transfer groove side wall. The top plate is hollow to form an isolation cavity, and the top plate is a double-layer structure, the heat insulation layer is arranged on the upper side of the isolation cavity and made of marble material, and the fixing layer is arranged on the lower side of the isolation cavity and made of metal material. 5.The data privacy protection processing apparatus using deep learning according to claim 4, characterized in that: The transfer groove top opening side wall is provided with a fixing hole, the fixing hole is slidingly provided with a fixing tube, the fixing tube is connected with the output end of the advancing device, the fixing tube extends into the temperature control cavity and contacts with the cooling medium, and the top plate is provided with a flow guide hole corresponding to the fixing hole on both sides. The partition is hollow to form a cooling cavity, and the partition end is provided with a communication port corresponding to the end of the blocking plate, the blocking plate is provided with a transmission pipe on the end inside the storage cavity, the transmission pipe is part of the gas fire extinguishing system and is responsible for conveying fire extinguishing gas, and the pipe opening of the blocking plate protrudes from the protruding end opposite to the partition. 6.The data privacy protection processing apparatus using deep learning according to claim 5, characterized in that: The blocking plate end is provided with a clamping groove corresponding to the protruding end of the partition plate, and the pipe opening end of the transmission pipe is located on the inner wall of the clamping groove; The inner wall of the clamping groove is provided with a closed groove with a circular arc cross section, and the corresponding part of the protruding end of the partition plate is provided with a closed strip made of elastic material.

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