Smart camp management method and system based on big data, terminal and storage medium

Abstract

The invention belongs to the technical field of military and camp management, and particularly relates to a smart camp management method and system based on big data, a terminal and a storage medium. The intelligent camp management method based on big data comprises the steps of S1, acquiring real-time environment data and real-time personnel data of each area of a camp to generate real-time acquisition data; s2, according to the real-time acquisition data, generating a real-time verification instruction to a corresponding real-time area; s3, executing verification collection operation according to the real-time verification instruction to generate verification collection data; and S4, according to the real-time collection data, the verification collection data and database record data, obtaining a collection management result of data authenticity. According to the invention, the monitoring management efficiency can be improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of military camp management, and in particular relates to a smart camp management method, system, terminal and storage medium based on big data. Background Art

[0002] Military camps are where the military resides and are used to house soldiers. There is a large flow of personnel and vehicles on a daily basis, and high security requirements are required. It is necessary to effectively manage the daily office and security of the troops based on communication and information technology to promote the modernization of military camps.

[0003] Traditional military camp management usually involves manual management and inspection by personnel, which results in time differences during personnel rotation. This time difference can easily create blind spots in personnel monitoring and lead to monitoring loopholes; therefore, the monitoring management efficiency is poor. Summary of the invention

[0004] The purpose of the present invention is to provide a smart camp management method, system, terminal and storage medium based on big data to address the deficiencies in the prior art, which can solve any of the above-mentioned technical problems.

[0005] In order to achieve the above object, the present invention adopts the following technical solution:

[0006] A smart camp management method based on big data, comprising:

[0007] S1. Collect and obtain real-time environmental data and real-time personnel data in various areas of the camp to generate real-time collected data;

[0008] S2. Generate a real-time verification instruction to the corresponding real-time area according to the real-time collected data;

[0009] S3. Execute verification collection operation according to the real-time verification instruction to generate verification collection data;

[0010] S4. Obtaining a collection management result of data authenticity according to the real-time collection data, the verification collection data and the database record data.

[0011] Preferably, the step of collecting and acquiring real-time environmental data and real-time personnel data of various areas of the camp to generate real-time collected data includes:

[0012] The entire camp is divided into at least two sub-areas; and there is a partial overlap between two adjacent sub-areas;

[0013] Use the view collector and environmental sensor of each region to collect the real-time environmental data and real-time personnel data of the corresponding region;

[0014] The real-time environment data and real-time personnel data are uploaded to the management cloud platform.

[0015] Preferably, the step of generating a real-time verification instruction to a corresponding real-time area according to the real-time collected data includes:

[0016] The management cloud platform receives the real-time collected data and generates a real-time verification instruction;

[0017] The real-time verification instruction is transmitted to the verification operation area to control the verification operation area to perform an operation of collecting the real-time area.

[0018] Preferably, the step of generating a real-time verification instruction upon receiving the real-time collected data by the management cloud platform includes:

[0019] The management cloud platform receives the real-time collected data;

[0020] Determine the safety factor level of the corresponding real-time area; the safety factor level includes a normal level and a high level;

[0021] If the safety factor level is the normal level, only the real-time verification instruction is generated and transmitted to the verification operation area;

[0022] If the safety factor level is a high level, generating the real-time verification instruction and transmitting the real-time verification instruction to the verification operation area; and generating a backup verification instruction and transmitting it to a backup vehicle;

[0023] The backup vehicle collects data of the real-time area to form backup verification data.

[0024] Preferably, the step of performing a verification collection operation according to the real-time verification instruction to generate verification collection data includes:

[0025] According to the real-time verification instruction, the verification collection operation is performed within a second preset time period and a second preset number of times to generate multiple sets of verification collection data.

[0026] Preferably, the step of obtaining the collection management result of data authenticity includes:

[0027] Comparing the verification collected data with the real-time collected data to form a difference level;

[0028] A collection management result of data authenticity is obtained according to the difference level.

[0029] Preferably, the step of comparing the verification collected data with the real-time collected data to form a difference level comprises:

[0030] When the difference rate between the verification collected data and the real-time collected data is less than 10%, and a low-level difference level is formed;

[0031] When the difference rate between the verification collected data and the real-time collected data is greater than 10% and less than 20%, a warning difference level is formed;

[0032] When the difference rate between the verification collected data and the real-time collected data is greater than 20%, a dangerous difference level is formed;

[0033] Wherein, the step of obtaining the collection management result of data authenticity according to the difference level includes the following:

[0034] When the difference level is a low difference level, the remote monitoring operation continues;

[0035] When the difference level is a warning difference level, arrange corresponding patrol personnel to conduct on-site verification of the area;

[0036] When the difference level is a dangerous difference level, corresponding security personnel will be arranged to conduct armed verification of the area.

[0037] The present invention also discloses a smart camp management system based on big data, which is used to execute the smart camp management method based on big data; wherein the smart camp management system based on big data includes:

[0038] A data collection module, which is used to collect real-time environmental data and real-time personnel data of various areas of the camp to generate real-time collected data;

[0039] A verification operation module, the verification operation module is used to generate a real-time verification instruction to a corresponding real-time area according to the real-time collection data; and perform a verification collection operation according to the real-time verification instruction to generate verification collection data;

[0040] A comparison and analysis module is used to obtain a collection management result of data authenticity based on the real-time collection data, the verification collection data and the database record data.

[0041] The present invention also discloses a smart camp management terminal based on big data, which includes: a memory, a processor, and a smart camp management program based on big data stored in the memory and executable on the processor. When the smart camp management program based on big data is executed by the processor, the steps of the smart camp management method based on big data are implemented.

[0042] The present invention also discloses a storage medium, on which a smart camp management program based on big data is stored. When the smart camp management program based on big data is executed by a processor, the steps of the smart camp management method based on big data are implemented.

[0043] The beneficial effect of the present invention lies in that the technical scheme first collects and obtains the real-time environmental data and real-time personnel data of each area of ​​the camp to generate real-time collected data, so that the corresponding data can be obtained in real time in a partitioned manner, which is beneficial to the collection and management of data; then, according to the real-time collected data, a real-time verification instruction is generated to the corresponding real-time area, and according to the real-time verification instruction, a verification collection operation is performed to generate verification collection data, thereby realizing the verification and confirmation of the real-time collection data, avoiding the initial real-time collection data from being tampered with, etc.; finally, according to the real-time collection data, the verification collection data and the database record data, the collection management result of the data authenticity is obtained; thereby, the authenticity of the data collection in each time stage and each area can be ensured, which is beneficial to improve the management efficiency and ensure the safety of the camp. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The following will refer to the attached Figures 1 to 3 To describe the features, advantages and technical effects of exemplary embodiments of the present invention.

[0045] Figure 1 This is a flow chart of a smart camp management method based on big data according to an embodiment of the present invention;

[0046] Figure 2 This is a structural block diagram of a smart camp management system based on big data according to an embodiment of the present invention;

[0047] Figure 3 This is a structural block diagram of a smart camp management terminal based on big data according to an embodiment of the present invention.

[0048] In the figure: 1001 - processor; 1002 - communication bus; 1003 - user interface; 1004 - network interface; 1005 - memory. DETAILED DESCRIPTION

[0049] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" in the specification and claims of this application and the above-mentioned figure descriptions and any variations thereof are intended to cover non-exclusive inclusions.

[0050] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "multiple" is more than two, unless otherwise clearly and specifically defined.

[0051] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0052] In the description of the embodiments of the present application, the term "and / or" is only a description of the association relationship of the associated objects, indicating that there may be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and multiple situations exist alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0053] In the description of the embodiments of the present application, unless otherwise clearly specified and limited, technical terms such as "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, and it can be the internal connection of two elements or the interaction relationship between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0054] The present invention proposes a smart camp management method, system, terminal and storage medium based on big data.

[0055] like Figure 3 As shown, Figure 3 It is a schematic diagram of the terminal structure of the hardware operating environment involved in the embodiment of the present invention.

[0056] The terminal in the embodiment of the present invention can be a PC, or it can be a mobile terminal device with display function such as a smart phone, a tablet computer, an e-book reader, an MP3 (Moving Picture Experts Group Audio Layer III) player, an MP4 (Moving Picture Experts Group Audio Layer IV) player, a portable computer, etc.

[0057] like Figure 3 As shown, the terminal may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, and a communication bus 1002. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 may be a high-speed RAM memory, or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0058] Optionally, the terminal may also include a camera, an RF (Radio Frequency) circuit, a sensor, an audio circuit, a Wi F i module, and the like. Among them, sensors include light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor and a proximity sensor, wherein the ambient light sensor may adjust the brightness of the display screen according to the brightness of the ambient light, and the proximity sensor may turn off the display screen and / or backlight when the mobile terminal is moved to the ear. As a type of motion sensor, the gravity acceleration sensor can monitor the magnitude of acceleration in each direction (generally three axes), and can monitor the magnitude and direction of gravity when stationary. It can be used for applications that identify the posture of the mobile terminal (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer, tapping), etc.; of course, the mobile terminal may also be equipped with other sensors such as gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc., which will not be repeated here.

[0059] Those skilled in the art will appreciate that the terminal structure shown in the figure does not constitute a limitation on the terminal, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0060] Reference Figure 1 One embodiment of the present invention provides a smart camp management method based on big data, a system, a terminal and a storage medium, such as Figure 1 As shown, the smart camp management method based on big data includes:

[0061] S1. Collect and obtain real-time environmental data and real-time personnel data in various areas of the camp to generate real-time collected data;

[0062] S2. Generate a real-time verification instruction to the corresponding real-time area according to the real-time collected data;

[0063] S3. Execute verification collection operation according to the real-time verification instruction to generate verification collection data;

[0064] S4. Obtaining a collection management result of data authenticity according to the real-time collection data, the verification collection data and the database record data.

[0065] In this embodiment, the technical solution first collects and obtains real-time environmental data and real-time personnel data of each area of ​​the camp to generate real-time collected data, so that the corresponding data can be obtained in real time in a partitioned manner, which is beneficial to data collection and management; then, based on the real-time collected data, a real-time verification instruction is generated to the corresponding real-time area, and according to the real-time verification instruction, a verification collection operation is performed to generate verification collection data, thereby realizing verification and confirmation of the real-time collection data to avoid tampering of the initial real-time collection data; finally, based on the real-time collection data, the verification collection data and the database record data, the collection management result of the data authenticity is obtained; thereby, the authenticity of the data collection in each time stage and each area can be ensured, which is beneficial to improve management efficiency and ensure the safety of the camp.

[0066] Specifically, in some implementations, in S1, the step of collecting and acquiring real-time environmental data and real-time personnel data of various areas of the camp to generate real-time collected data includes:

[0067] Divide the entire camp area into at least two sub-areas;

[0068] Use the view collector and environmental sensor of each region to collect the real-time environmental data and real-time personnel data of the corresponding region;

[0069] The real-time environment data and real-time personnel data are uploaded to the management cloud platform. The view collector is a camera, which collects the real-time personnel data and environment view data of the corresponding sub-region; the environment sensor includes a temperature sensor, a color sensor and a humidity sensor; the temperature sensor collects the temperature data in the real-time environment data of the corresponding sub-region; the humidity sensor collects the humidity parameters in the real-time environment data of the corresponding sub-region; the color sensor collects the location data of each object in the corresponding sub-region.

[0070] That is to say, the camera is used to identify and confirm the real-time identity information of the personnel and the visual information of whether there are any hazardous objects in the environment; the temperature sensor is then used to quickly sense and detect whether the temperature of the environment exceeds the preset value to avoid fire and other phenomena; the humidity sensor is used to quickly sense and detect the humidity of the environment to determine whether the rescue equipment can be used normally if a fire occurs; finally, the color mark sensor is used to accurately detect the original position of the object to quickly detect dangerous people hiding behind an object and avoiding the camera's collection; thereby ensuring the authenticity of data collection in each time period and each area, which is conducive to improving management efficiency and ensuring the safety of the camp.

[0071] Specifically, in some implementations, in S2, the step of generating a real-time verification instruction to a corresponding real-time area according to the real-time collected data includes:

[0072] The management cloud platform receives the real-time collected data and generates a real-time verification instruction;

[0073] The real-time verification instruction is transmitted to the verification operation area to control the verification operation area to perform the operation of collecting the real-time area. There is a partial overlap between two adjacent sub-areas; and the partially overlapped area is the verification operation area; the orderliness and convenience of subsequent verification operations are achieved through the overlapped area.

[0074] That is to say, when the management cloud platform receives the real-time collected data, it generates a real-time verification instruction to perform the verification of the real-time collected data; then transmits the real-time verification instruction to the verification operation area to control the view collector and the environmental sensor in the verification operation area to perform the operation of collecting the real-time area. Among them, the view collector and the environmental sensor in the verification operation area are the same devices as the view collector and the environmental sensor in the sub-area. In order to avoid tampering, the verification device and the collection device cooperate with each other.

[0075] Specifically, in some implementations, the step of generating a real-time verification instruction upon receiving the real-time collected data by the management cloud platform includes:

[0076] The management cloud platform receives the real-time collected data;

[0077] Determine the safety factor level of the corresponding real-time area; the safety factor level includes a normal level and a high level;

[0078] If the safety factor level is the normal level, only the real-time verification instruction is generated and transmitted to the verification operation area;

[0079] If the safety factor level is a high level, generating the real-time verification instruction and transmitting the real-time verification instruction to the verification operation area; and generating a backup verification instruction and transmitting it to a backup vehicle;

[0080] The standby vehicle collects data of the real-time area to form standby verification data. The standby vehicle is a drone. Furthermore, the drone is also equipped with a view collector and an environmental sensor.

[0081] In other words, through the dual verification of collecting and verifying data from backup vehicles and verifying data from the operating area, the authenticity of the data is improved and the efficiency of management and monitoring is guaranteed.

[0082] The step of collecting data of the real-time area by the standby vehicle to form standby verification data includes the following:

[0083] The backup vehicle collects data of the real-time area within a first preset time and a first preset number of times to form backup verification data, wherein the first preset time is 1 hour, 2 hours, 3 hours, etc., and the first preset number of times can be 1 time, 2 times, 3 times, etc.

[0084] That is to say, in order to avoid unnecessary data storage that affects the storage capacity of the cloud platform, it is necessary to collect data from the real-time area at irregular intervals and times within a certain period of time to form backup verification data. In other words, to avoid the habit of backup collection, it is necessary to collect and verify data randomly without rules to ensure the authenticity of the data.

[0085] Specifically, in some implementations, in S3, the step of performing a verification collection operation according to the real-time verification instruction to generate verification collection data includes:

[0086] According to the real-time verification instruction, the verification collection operation is performed within the second preset time and the second preset number of times to generate multiple sets of verification collection data. The second preset time is 1 minute, 2 minutes, 3 minutes, etc.; the second preset number of times can be 1 time, 2 times, 3 times, etc.

[0087] That is to say, in order to avoid randomness of data, it is necessary to collect data a second preset number of times within a certain period of time, so as to ensure the authenticity of the data, which is conducive to improving management and monitoring efficiency.

[0088] Specifically, in some implementations, in S4, the step of obtaining the collection management result of data authenticity includes:

[0089] Comparing the verification collected data with the real-time collected data to form a difference level;

[0090] A collection management result of data authenticity is obtained according to the difference level.

[0091] The step of comparing the verification collected data with the real-time collected data to form a difference level includes:

[0092] When the difference rate between the verification collected data and the real-time collected data is less than 10%, and a low-level difference level is formed;

[0093] When the difference rate between the verification collected data and the real-time collected data is greater than 10% and less than 20%, a warning difference level is formed;

[0094] When the difference rate between the verification collection data and the real-time collection data is greater than 20%, a dangerous difference level is formed.

[0095] The step of obtaining the collection management result of the data authenticity according to the difference level includes the following:

[0096] When the difference level is a low difference level, the remote monitoring operation continues;

[0097] When the difference level is a warning difference level, arrange corresponding patrol personnel to conduct on-site verification of the area;

[0098] When the difference level is a dangerous difference level, corresponding security personnel will be arranged to conduct armed verification of the area.

[0099] In other words, in order to avoid excessive and tedious workload, operations need to be handled in a graded manner to ensure the authenticity of the data, which is conducive to improving management and monitoring efficiency.

[0100] The present invention also provides a smart camp management system based on big data.

[0101] Specifically, Figure 2 As shown, the smart camp management system based on big data includes:

[0102] The data collection module 610 is used to collect and obtain real-time environmental data and real-time personnel data of various areas of the camp to generate real-time collected data;

[0103] A verification operation module 620, the verification operation module 620 is used to generate a real-time verification instruction to a corresponding real-time area according to the real-time collection data; and to perform a verification collection operation according to the real-time verification instruction to generate verification collection data;

[0104] The comparison and analysis module 630 is used to obtain the collection management result of data authenticity according to the real-time collection data, the verification collection data and the database record data.

[0105] In addition, an embodiment of the present invention further provides a computer-readable storage medium, on which a smart camp management program based on big data is stored. When the smart camp management program based on big data is executed by a processor, the following operations are implemented:

[0106] Collect and obtain real-time environmental data and real-time personnel data in various areas of the camp to generate real-time collection data;

[0107] Generating a real-time verification instruction to a corresponding real-time area according to the real-time collected data;

[0108] According to the real-time verification instruction, a verification collection operation is performed to generate verification collection data;

[0109] According to the real-time collected data, the verified collected data and the database record data, a collection management result of data authenticity is obtained.

[0110] Furthermore, the step of collecting and acquiring real-time environmental data and real-time personnel data of each area of ​​the camp to generate real-time collected data includes:

[0111] The entire camp is divided into at least two sub-areas; and there is a partial overlap between two adjacent sub-areas;

[0112] Use the view collector and environmental sensor of each region to collect the real-time environmental data and real-time personnel data of the corresponding region;

[0113] The real-time environment data and real-time personnel data are uploaded to the management cloud platform.

[0114] Furthermore, the step of generating a real-time verification instruction to a corresponding real-time area according to the real-time collected data includes:

[0115] The management cloud platform receives the real-time collected data and generates a real-time verification instruction;

[0116] The real-time verification instruction is transmitted to the verification operation area to control the verification operation area to perform an operation of collecting the real-time area.

[0117] Furthermore, the step of generating a real-time verification instruction upon receiving the real-time collected data by the management cloud platform includes:

[0118] The management cloud platform receives the real-time collected data;

[0119] Determine the safety factor level of the corresponding real-time area; the safety factor level includes a normal level and a high level;

[0120] If the safety factor level is the normal level, only the real-time verification instruction is generated and transmitted to the verification operation area;

[0121] If the safety factor level is a high level, generating the real-time verification instruction and transmitting the real-time verification instruction to the verification operation area; and generating a backup verification instruction and transmitting it to a backup vehicle;

[0122] The backup vehicle collects data of the real-time area to form backup verification data.

[0123] Furthermore, the step of performing the verification collection operation according to the real-time verification instruction to generate the verification collection data includes:

[0124] According to the real-time verification instruction, the verification collection operation is performed within a second preset time period and a second preset number of times to generate multiple sets of verification collection data.

[0125] Furthermore, the step of obtaining the collection management result of data authenticity includes:

[0126] Comparing the verification collected data with the real-time collected data to form a difference level;

[0127] A collection management result of data authenticity is obtained according to the difference level.

[0128] Furthermore, the step of comparing the verification collected data with the real-time collected data to form a difference level includes:

[0129] When the difference rate between the verification collected data and the real-time collected data is less than 10%, and a low-level difference level is formed;

[0130] When the difference rate between the verification collected data and the real-time collected data is greater than 10% and less than 20%, a warning difference level is formed;

[0131] When the difference rate between the verification collected data and the real-time collected data is greater than 20%, a dangerous difference level is formed;

[0132] Wherein, the step of obtaining the collection management result of data authenticity according to the difference level includes the following:

[0133] When the difference level is a low difference level, the remote monitoring operation continues;

[0134] When the difference level is a warning difference level, arrange corresponding patrol personnel to conduct on-site verification of the area;

[0135] When the difference level is a dangerous difference level, corresponding security personnel will be arranged to conduct armed verification of the area.

[0136] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode includes only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

[0137] According to the disclosure and teaching of the above description, those skilled in the art to which the present invention belongs can also change and modify the above embodiment. Therefore, the present invention is not limited to the above specific embodiment, and any obvious improvement, replacement or modification made by those skilled in the art on the basis of the present invention belongs to the protection scope of the present invention. In addition, although some specific terms are used in this specification, these terms are only for the convenience of description and do not constitute any limitation to the present invention.

Claims

1. A smart camp management method based on big data, characterized by: include: S1. Collect and obtain real-time environmental data and real-time personnel data in various areas of the camp to generate real-time collected data; S2. Generate a real-time verification instruction to the corresponding real-time area according to the real-time collected data; S3. Execute verification collection operation according to the real-time verification instruction to generate verification collection data; S4. Obtaining a collection management result of data authenticity according to the real-time collection data, the verification collection data and the database record data.

2. The smart camp management method based on big data according to claim 1 is characterized by: The step of collecting and acquiring real-time environmental data and real-time personnel data of each area of ​​the camp to generate real-time collected data includes: The entire camp is divided into at least two sub-areas; and there is a partial overlap between two adjacent sub-areas; Use the view collector and environmental sensor of each region to collect the real-time environmental data and real-time personnel data of the corresponding region; The real-time environment data and real-time personnel data are uploaded to the management cloud platform.

3. The smart camp management method based on big data according to claim 1 is characterized by: The step of generating a real-time verification instruction to a corresponding real-time area according to the real-time collected data includes: The management cloud platform receives the real-time collected data and generates a real-time verification instruction; The real-time verification instruction is transmitted to the verification operation area to control the verification operation area to perform an operation of collecting the real-time area.

4. The smart camp management method based on big data according to claim 3 is characterized by: The step of generating a real-time verification instruction upon receiving the real-time collected data by the management cloud platform includes: The management cloud platform receives the real-time collected data; Determine the safety factor level of the corresponding real-time area; the safety factor level includes a normal level and a high level; If the safety factor level is the normal level, only the real-time verification instruction is generated and transmitted to the verification operation area; If the safety factor level is a high level, generating the real-time verification instruction and transmitting the real-time verification instruction to the verification operation area; and generating a backup verification instruction and transmitting it to a backup vehicle; The backup vehicle collects data of the real-time area to form backup verification data.

5. The smart camp management method based on big data according to claim 1 is characterized by: The step of performing a verification collection operation according to the real-time verification instruction to generate verification collection data includes: According to the real-time verification instruction, the verification collection operation is performed within a second preset time period and a second preset number of times to generate multiple sets of verification collection data.

6. The smart camp management method based on big data according to claim 1 is characterized by: The step of obtaining the collection management result of data authenticity includes: Comparing the verification collected data with the real-time collected data to form a difference level; A collection management result of data authenticity is obtained according to the difference level.

7. The smart camp management method based on big data according to claim 6 is characterized by: The step of comparing the verification collected data with the real-time collected data to form a difference level includes: When the difference rate between the verification collected data and the real-time collected data is less than 10%, and a low-level difference level is formed; When the difference rate between the verification collected data and the real-time collected data is greater than 10% and less than 20%, a warning difference level is formed; When the difference rate between the verification collected data and the real-time collected data is greater than 20%, a dangerous difference level is formed; Wherein, the step of obtaining the collection management result of data authenticity according to the difference level includes the following: When the difference level is a low difference level, the remote monitoring operation continues; When the difference level is a warning difference level, arrange corresponding patrol personnel to conduct on-site verification of the area; When the difference level is a dangerous difference level, corresponding security personnel will be arranged to conduct armed verification of the area.

8. A smart camp management system based on big data, characterized by: Used to execute the smart camp management method based on big data as described in any one of claims 1 to 7 above; wherein the smart camp management system based on big data includes: A data collection module, which is used to collect real-time environmental data and real-time personnel data of various areas of the camp to generate real-time collected data; A verification operation module, the verification operation module is used to generate a real-time verification instruction to a corresponding real-time area according to the real-time collection data; and perform a verification collection operation according to the real-time verification instruction to generate verification collection data; A comparison and analysis module is used to obtain a collection management result of data authenticity based on the real-time collection data, the verification collection data and the database record data.

9. A smart camp management terminal based on big data, characterized by: The big data-based smart camp management terminal includes: a memory, a processor, and a big data-based smart camp management program stored in the memory and executable on the processor. When the big data-based smart camp management program is executed by the processor, the steps of the big data-based smart camp management method as described in any one of claims 1 to 7 are implemented.

10. A storage medium, characterized in that: The storage medium stores a smart camp management program based on big data, and when the smart camp management program based on big data is executed by the processor, the steps of the smart camp management method based on big data as described in any one of claims 1 to 7 are implemented.

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