Intelligent monitoring terminal data processing method and system based on multi-sensor fusion

Abstract

The invention discloses an intelligent monitoring terminal data processing method and system based on multi-sensor fusion, and belongs to the field of data processing.The method comprises the steps that firstly, multi-sensor fusion data is obtained, and then the byte size and the data type of the multi-sensor fusion data are determined; according to the information and the storage byte size of the data type of the intelligent monitoring terminal, calculating the memory proportion information between the multi-sensor fusion data and the data of the corresponding type in the intelligent monitoring terminal; judging and determining a storage strategy of the intelligent monitoring terminal for the fusion data of the multiple sensors by combining the residual storage information and the maximum extension information of the running memory of the intelligent monitoring terminal; according to the mode, the storage resource condition of the intelligent monitoring terminal can be fully considered, the reasonable utilization of the storage resources is realized, and the data storage processing efficiency is improved; the problem that when a traditional intelligent monitoring terminal processes the multi-sensor fusion data, the multi-sensor fusion data cannot be effectively stored and processed due to lack of comprehensive analysis and optimization processing on the data is solved.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and in particular to a method and system for intelligent monitoring terminal data processing based on multi-sensor fusion. Background Art

[0002] In the field of intelligent surveillance, multi-sensor fusion technology is widely used as technology advances. Multiple sensors can acquire information about the monitored environment from different angles and dimensions, such as temperature, humidity, images, sound, and other types of data. This data helps build a more comprehensive and accurate picture of the monitoring scene.

[0003] Traditional intelligent monitoring terminals often simply receive and store multi-sensor fusion data, lacking comprehensive data analysis and optimization. They also fail to fully consider the terminal's inherent storage resource limitations, including remaining storage capacity and the ability to expand RAM. Consequently, this lack of comprehensive data analysis and optimization results in the inability of traditional intelligent monitoring terminals to effectively store and process multi-sensor fusion data. Summary of the Invention

[0004] The present invention provides a data processing method and system for an intelligent monitoring terminal based on multi-sensor fusion, which can solve the problem that traditional intelligent monitoring terminals cannot effectively store and process multi-sensor fusion data due to the lack of comprehensive analysis and optimization processing of the data.

[0005] In order to solve the above technical problems, an embodiment of the present invention provides a data processing method for an intelligent monitoring terminal based on multi-sensor fusion, comprising:

[0006] Acquire multi-sensor fusion data;

[0007] Determine the byte size, byte quantity and data type of the multi-sensor fusion data according to the multi-sensor fusion data;

[0008] Calculate the memory usage between the multi-sensor fusion data and the corresponding data type in the intelligent monitoring terminal based on the byte size, byte quantity, and data type of the multi-sensor fusion data and the storage byte size of the data type of the intelligent monitoring terminal;

[0009] Compare the memory usage information, the remaining storage information of the intelligent monitoring terminal, and the maximum expansion information of the running memory of the intelligent monitoring terminal;

[0010] When the difference between the remaining storage information of the intelligent monitoring terminal and the maximum expansion information of the running memory of the intelligent monitoring terminal is greater than or equal to the memory usage information, the multi-sensor fusion data is directly stored in the intelligent monitoring terminal;

[0011] When the difference between the remaining storage information of the intelligent monitoring terminal and the maximum expansion information of the running memory of the intelligent monitoring terminal is less than the memory usage information, the stored data is cleaned until the difference between the remaining storage information of the intelligent monitoring terminal and the maximum expansion information of the running memory of the intelligent monitoring terminal is greater than the memory usage information, and the multi-sensor fusion data is stored in the intelligent monitoring terminal.

[0012] Furthermore, the calculation formula for the memory usage information between the multi-sensor fusion data and the corresponding type of data in the intelligent monitoring terminal is:

[0013]

[0014] Among them, M C B is the memory usage information between multi-sensor fusion data and corresponding types of data in the intelligent monitoring terminal; i is the byte size of multi-sensor fusion data; B j is the storage byte size of the data type of the intelligent monitoring terminal; α is the number of bytes of multi-sensor fusion data.

[0015] Furthermore, after obtaining the multi-sensor fusion data, the method further includes:

[0016] Perform data traversal on the multi-sensor fusion data to determine the data missing time, data missing location and data missing value type of the multi-sensor fusion data;

[0017] According to the data missing time, data missing location and data missing value type, the backup data of the cloud server is retrieved to obtain the backup data of the cloud server with the corresponding time, location and type;

[0018] When the backup data of the cloud server of the corresponding time, location and type is empty, the missing location of the multi-sensor fusion data is deleted;

[0019] When the backup data of the cloud server at the corresponding time, location and type is not empty, the backup data of the cloud server at the corresponding time, location and type is used as filling data to fill in the missing position of the multi-sensor fusion data.

[0020] Furthermore, after determining the byte size, byte quantity and data type of the multi-sensor fusion data according to the multi-sensor fusion data, the method further includes:

[0021] Compare the data type of multi-sensor fusion data with the data storage type of the intelligent monitoring terminal;

[0022] When the data type of the multi-sensor fusion data is consistent with the data storage type of the intelligent monitoring terminal, there is no need to convert the data type of the multi-sensor fusion data;

[0023] Otherwise, the data type of the multi-sensor fusion data is converted into the data storage type of the intelligent monitoring terminal.

[0024] Furthermore, storing the multi-sensor fusion data in the intelligent monitoring terminal includes:

[0025] According to the time characteristics, the multi-sensor fusion data is stored in the time folder corresponding to the intelligent monitoring terminal.

[0026] Based on the above method embodiment, the present invention provides a corresponding system embodiment;

[0027] An embodiment of the present invention provides an intelligent monitoring terminal data processing system based on multi-sensor fusion, comprising: an intelligent monitoring terminal; wherein the intelligent monitoring terminal comprises: a data acquisition module, a data analysis module, a data memory ratio calculation module, a memory judgment module and a storage module;

[0028] The data acquisition module is used to acquire multi-sensor fusion data;

[0029] The data analysis module is used to determine the byte size, byte quantity and data type of the multi-sensor fusion data based on the multi-sensor fusion data;

[0030] The data memory ratio calculation module is used to calculate the memory ratio information between the multi-sensor fusion data and the corresponding type of data in the intelligent monitoring terminal according to the byte size, byte number and data type of the multi-sensor fusion data and the storage byte size of the data type of the intelligent monitoring terminal;

[0031] The memory judgment module is used to compare the memory usage information, the remaining storage information of the intelligent monitoring terminal and the maximum extension information of the running memory of the intelligent monitoring terminal; when the difference between the remaining storage information of the intelligent monitoring terminal and the maximum extension information of the running memory of the intelligent monitoring terminal is greater than or equal to the memory usage information, the multi-sensor fusion data is directly stored in the intelligent monitoring terminal; when the difference between the remaining storage information of the intelligent monitoring terminal and the maximum extension information of the running memory of the intelligent monitoring terminal is less than the memory usage information, the stored data is cleared until the difference between the remaining storage information of the intelligent monitoring terminal and the maximum extension information of the running memory of the intelligent monitoring terminal is greater than the memory usage information, and then the multi-sensor fusion data is stored in the intelligent monitoring terminal;

[0032] The storage module is used to store multi-sensor fusion data.

[0033] Furthermore, the calculation formula for the memory usage information between the multi-sensor fusion data and the corresponding type of data in the intelligent monitoring terminal is:

[0034]

[0035] Among them, M C B is the memory usage information between multi-sensor fusion data and corresponding types of data in the intelligent monitoring terminal; i is the byte size of multi-sensor fusion data; B j is the storage byte size of the data type of the intelligent monitoring terminal; α is the number of bytes of multi-sensor fusion data.

[0036] Furthermore, the intelligent monitoring terminal data processing system based on multi-sensor fusion further includes: a cloud server; wherein the intelligent monitoring terminal further includes a data pre-processing module;

[0037] The cloud server is used to store backup data;

[0038] The data preprocessing module is used to perform data traversal on the multi-sensor fusion data after acquiring the multi-sensor fusion data, determine the data missing time, data missing position and data missing value type of the multi-sensor fusion data; perform data retrieval on the backup data of the cloud server according to the data missing time, data missing position and data missing value type, and obtain the backup data of the cloud server of the corresponding time, position and type; when the backup data of the cloud server of the corresponding time, position and type is empty, delete the missing position of the multi-sensor fusion data; when the backup data of the cloud server of the corresponding time, position and type is not empty, use the backup data of the cloud server of the corresponding time, position and type as filling data to fill in the missing position of the multi-sensor fusion data.

[0039] Furthermore, the intelligent monitoring terminal further includes: a data type conversion module;

[0040] The data type conversion module is used to determine the byte size, number of bytes and data type of the multi-sensor fusion data based on the multi-sensor fusion data, and then compare the data type of the multi-sensor fusion data with the data storage type of the intelligent monitoring terminal; when the data type of the multi-sensor fusion data is consistent with the data storage type of the intelligent monitoring terminal, there is no need to convert the data type of the multi-sensor fusion data; otherwise, the data type of the multi-sensor fusion data is converted into the data storage type of the intelligent monitoring terminal.

[0041] Furthermore, the intelligent monitoring terminal further includes: a folder construction module;

[0042] The folder construction module is used to construct a time file for the storage module according to the time characteristics, so that the storage module stores the multi-sensor fusion data in the time folder corresponding to the intelligent monitoring terminal according to the time characteristics.

[0043] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0044] The present invention first obtains multi-sensor fusion data, and then determines its byte size and data type; then, based on this information and the storage byte size of the data type of the intelligent monitoring terminal, calculates the memory ratio information between the multi-sensor fusion data and the corresponding type of data in the intelligent monitoring terminal; then, combined with the remaining storage information and the maximum expansion information of the running memory of the intelligent monitoring terminal, determines the storage strategy of the intelligent monitoring terminal for the multi-sensor fusion data; this method can fully consider the storage resource situation of the intelligent monitoring terminal, realize the rational use of storage resources, improve the efficiency of data storage and processing, and solve the problem that traditional intelligent monitoring terminals cannot effectively store and process multi-sensor fusion data due to the lack of comprehensive analysis and optimization processing of data. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 A flowchart of the steps of the intelligent monitoring terminal data processing method based on multi-sensor fusion provided by an embodiment of the present invention;

[0046] Figure 2 This is a system structure diagram of an intelligent monitoring terminal data processing system based on multi-sensor fusion provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0047] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0048] Example 1:

[0049] Reference Figure 1 : A flowchart of the steps of a method for processing data of an intelligent monitoring terminal based on multi-sensor fusion provided by an embodiment of the present invention; to solve the problem that traditional intelligent monitoring terminals cannot effectively store and process multi-sensor fusion data due to the lack of comprehensive analysis and optimization processing of the data, the method includes at least the following steps:

[0050] Step S1: Acquire multi-sensor fusion data;

[0051] Step S2: determining the byte size, byte quantity and data type of the multi-sensor fusion data according to the multi-sensor fusion data;

[0052] Step S3: Calculate the memory usage between the multi-sensor fusion data and the corresponding type of data in the intelligent monitoring terminal according to the byte size, byte quantity and data type of the multi-sensor fusion data and the storage byte size of the data type of the intelligent monitoring terminal;

[0053] Step S4: Compare the memory usage information, the remaining storage information of the intelligent monitoring terminal, and the maximum expansion information of the running memory of the intelligent monitoring terminal;

[0054] Step S5: When the difference between the remaining storage information of the intelligent monitoring terminal and the maximum expansion information of the running memory of the intelligent monitoring terminal is greater than or equal to the memory usage information, the multi-sensor fusion data is directly stored in the intelligent monitoring terminal;

[0055] Step S6: When the difference between the remaining storage information of the intelligent monitoring terminal and the maximum expansion information of the running memory of the intelligent monitoring terminal is less than the memory usage information, the stored data is cleaned until the difference between the remaining storage information of the intelligent monitoring terminal and the maximum expansion information of the running memory of the intelligent monitoring terminal is greater than the memory usage information, and the multi-sensor fusion data is stored in the intelligent monitoring terminal.

[0056] In this embodiment, the memory usage information between the multi-sensor fusion data and the corresponding types of data in the intelligent monitoring terminal is first calculated; then, the storage strategy of the intelligent monitoring terminal for the multi-sensor fusion data is determined based on the remaining storage information and the maximum expansion information of the running memory of the intelligent monitoring terminal; this method can fully consider the storage resource situation of the intelligent monitoring terminal, realize the rational use of storage resources, improve the efficiency of data storage and processing, and reserve sufficient expansion space for the running memory of the intelligent monitoring terminal when storing the multi-sensor fusion data.

[0057] In this embodiment, the calculation formula for the memory usage information between the multi-sensor fusion data and the corresponding type of data in the intelligent monitoring terminal is:

[0058]

[0059] Among them, M C B is the memory usage information between multi-sensor fusion data and corresponding types of data in the intelligent monitoring terminal; i is the byte size of multi-sensor fusion data; B j is the storage byte size of the data type of the intelligent monitoring terminal; α is the number of bytes of multi-sensor fusion data.

[0060] In this embodiment, after acquiring the multi-sensor fusion data, the method further includes:

[0061] Perform data traversal on the multi-sensor fusion data to determine the data missing time, data missing location and data missing value type of the multi-sensor fusion data;

[0062] According to the data missing time, data missing location and data missing value type, the backup data of the cloud server is retrieved to obtain the backup data of the cloud server with the corresponding time, location and type;

[0063] When the backup data of the cloud server of the corresponding time, location and type is empty, the missing location of the multi-sensor fusion data is deleted;

[0064] When the backup data of the cloud server at the corresponding time, location and type is not empty, the backup data of the cloud server at the corresponding time, location and type is used as filling data to fill in the missing position of the multi-sensor fusion data.

[0065] Exemplarily, temperature data, humidity data and light intensity data are collected respectively by a temperature sensor, a humidity sensor and a light sensor to obtain multi-sensor fusion data; when traversing the multi-sensor fusion data, it is determined that the data missing time of the multi-sensor fusion data is 2023-10-01 12:05:00, the data missing position is temperature data and the data missing value type is numerical data; according to the data missing time being 2023-10-01 12:05:00, the data missing position is temperature data and the data missing value type is numerical data, a search is performed from the backup data of the cloud server; if the backup data returned by the cloud server is empty (that is, the temperature data at that moment does not exist in the cloud server), the data corresponding to the missing position in the multi-sensor fusion data will be deleted, for example, the data missing time of 2023-10-01 12:05:00 will be deleted. The temperature data field at 12:05:00; if the cloud server returns valid backup data (for example, the temperature is 26.1°C), the data is used as filler data to fill in the missing position in the multi-sensor fusion data, for example, 26.1°C is filled into the temperature data field at 2023-10-01 12:05:00.

[0066] In this embodiment, after determining the byte size, byte quantity, and data type of the multi-sensor fusion data according to the multi-sensor fusion data, the following steps are further included:

[0067] Compare the data type of multi-sensor fusion data with the data storage type of the intelligent monitoring terminal;

[0068] When the data type of the multi-sensor fusion data is consistent with the data storage type of the intelligent monitoring terminal, there is no need to convert the data type of the multi-sensor fusion data;

[0069] Otherwise, the data type of the multi-sensor fusion data is converted into the data storage type of the intelligent monitoring terminal.

[0070] For example, when the data type of the multi-sensor fusion data is a text type and the data storage type of the intelligent monitoring terminal is a numerical type, the data type of the multi-sensor fusion data is converted from a text type to a numerical type of the data storage type of the intelligent monitoring terminal. When data type conversion is required, it is necessary to convert according to certain rules, that is, the data conversion method. For example, to convert text into data, a function error tool or four arithmetic operations are required for conversion.

[0071] In this embodiment, storing the multi-sensor fusion data to the intelligent monitoring terminal includes:

[0072] According to the time characteristics, the multi-sensor fusion data is stored in the time folder corresponding to the intelligent monitoring terminal.

[0073] For example, when the time of the multi-sensor fusion data is 2023-10-01 12:05:00, the multi-sensor fusion data is stored in the time folder of the intelligent monitoring terminal at 12:00 on October 1, 2023.

[0074] Example 2:

[0075] Reference Figure 2 : A system structure diagram of an intelligent monitoring terminal data processing system based on multi-sensor fusion provided by an embodiment of the present invention; to solve the problem that traditional intelligent monitoring terminals cannot effectively store and process multi-sensor fusion data due to the lack of comprehensive data analysis and optimization processing, the system includes at least: an intelligent monitoring terminal; wherein the intelligent monitoring terminal includes: a data acquisition module, a data analysis module, a data memory ratio calculation module, a memory judgment module and a storage module;

[0076] The data acquisition module is used to acquire multi-sensor fusion data;

[0077] The data analysis module is used to determine the byte size, byte quantity and data type of the multi-sensor fusion data based on the multi-sensor fusion data;

[0078] The data memory ratio calculation module is used to calculate the memory ratio information between the multi-sensor fusion data and the corresponding type of data in the intelligent monitoring terminal according to the byte size, byte number and data type of the multi-sensor fusion data and the storage byte size of the data type of the intelligent monitoring terminal;

[0079] The memory judgment module is used to compare the memory usage information, the remaining storage information of the intelligent monitoring terminal and the maximum extension information of the running memory of the intelligent monitoring terminal; when the difference between the remaining storage information of the intelligent monitoring terminal and the maximum extension information of the running memory of the intelligent monitoring terminal is greater than or equal to the memory usage information, the multi-sensor fusion data is directly stored in the intelligent monitoring terminal; when the difference between the remaining storage information of the intelligent monitoring terminal and the maximum extension information of the running memory of the intelligent monitoring terminal is less than the memory usage information, the stored data is cleared until the difference between the remaining storage information of the intelligent monitoring terminal and the maximum extension information of the running memory of the intelligent monitoring terminal is greater than the memory usage information, and then the multi-sensor fusion data is stored in the intelligent monitoring terminal;

[0080] The storage module is used to store multi-sensor fusion data.

[0081] In this embodiment, the calculation formula for the memory usage information between the multi-sensor fusion data and the corresponding type of data in the intelligent monitoring terminal is:

[0082]

[0083] Among them, M C B is the memory usage information between multi-sensor fusion data and corresponding types of data in the intelligent monitoring terminal; i is the byte size of multi-sensor fusion data; B j is the storage byte size of the data type of the intelligent monitoring terminal; α is the number of bytes of multi-sensor fusion data.

[0084] In this embodiment, the system further comprises: a cloud server; wherein the intelligent monitoring terminal further comprises a data pre-processing module;

[0085] The cloud server is used to store backup data;

[0086] The data preprocessing module is used to perform data traversal on the multi-sensor fusion data after acquiring the multi-sensor fusion data, determine the data missing time, data missing position and data missing value type of the multi-sensor fusion data; perform data retrieval on the backup data of the cloud server according to the data missing time, data missing position and data missing value type, and obtain the backup data of the cloud server of the corresponding time, position and type; when the backup data of the cloud server of the corresponding time, position and type is empty, delete the missing position of the multi-sensor fusion data; when the backup data of the cloud server of the corresponding time, position and type is not empty, use the backup data of the cloud server of the corresponding time, position and type as filling data to fill in the missing position of the multi-sensor fusion data.

[0087] In this embodiment, the intelligent monitoring terminal further includes: a data type conversion module;

[0088] The data type conversion module is used to determine the byte size, number of bytes and data type of the multi-sensor fusion data based on the multi-sensor fusion data, and then compare the data type of the multi-sensor fusion data with the data storage type of the intelligent monitoring terminal; when the data type of the multi-sensor fusion data is consistent with the data storage type of the intelligent monitoring terminal, there is no need to convert the data type of the multi-sensor fusion data; otherwise, the data type of the multi-sensor fusion data is converted into the data storage type of the intelligent monitoring terminal.

[0089] In this embodiment, the intelligent monitoring terminal further includes: a folder construction module;

[0090] The folder construction module is used to construct a time file for the storage module according to the time characteristics, so that the storage module stores the multi-sensor fusion data in the time folder corresponding to the intelligent monitoring terminal according to the time characteristics.

[0091] The specific embodiments described above further illustrate the objectives, technical solutions, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. In particular, it should be noted that any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included within the scope of protection of the present invention for those skilled in the art.

Claims

1. An intelligent monitoring terminal data processing method based on multi-sensor fusion, characterized in that: include: Acquire multi-sensor fusion data; Determine the byte size, byte quantity and data type of the multi-sensor fusion data according to the multi-sensor fusion data; Calculate the memory usage between the multi-sensor fusion data and the corresponding data type in the intelligent monitoring terminal based on the byte size, byte quantity, and data type of the multi-sensor fusion data and the storage byte size of the data type of the intelligent monitoring terminal; Compare the memory usage information, the remaining storage information of the intelligent monitoring terminal, and the maximum expansion information of the running memory of the intelligent monitoring terminal; When the difference between the remaining storage information of the intelligent monitoring terminal and the maximum expansion information of the running memory of the intelligent monitoring terminal is greater than or equal to the memory usage information, the multi-sensor fusion data is directly stored in the intelligent monitoring terminal; When the difference between the remaining storage information of the intelligent monitoring terminal and the maximum expansion information of the running memory of the intelligent monitoring terminal is less than the memory usage information, the stored data is cleaned until the difference between the remaining storage information of the intelligent monitoring terminal and the maximum expansion information of the running memory of the intelligent monitoring terminal is greater than the memory usage information, and the multi-sensor fusion data is stored in the intelligent monitoring terminal.

2. The intelligent monitoring terminal data processing method based on multi-sensor fusion according to claim 1 is characterized in that: The calculation formula for the memory usage information between the multi-sensor fusion data and the corresponding type of data in the intelligent monitoring terminal is: Among them, M C B is the memory usage information between multi-sensor fusion data and corresponding types of data in the intelligent monitoring terminal; i is the byte size of multi-sensor fusion data; B j is the storage byte size of the data type of the intelligent monitoring terminal; α is the number of bytes of multi-sensor fusion data.

3. The intelligent monitoring terminal data processing method based on multi-sensor fusion according to claim 2 is characterized in that: After acquiring the multi-sensor fusion data, the method further includes: Perform data traversal on the multi-sensor fusion data to determine the data missing time, data missing location and data missing value type of the multi-sensor fusion data; According to the data missing time, data missing location and data missing value type, the backup data of the cloud server is retrieved to obtain the backup data of the cloud server with the corresponding time, location and type; When the backup data of the cloud server of the corresponding time, location and type is empty, the missing location of the multi-sensor fusion data is deleted; When the backup data of the cloud server at the corresponding time, location and type is not empty, the backup data of the cloud server at the corresponding time, location and type is used as filling data to fill in the missing position of the multi-sensor fusion data.

4. The intelligent monitoring terminal data processing method based on multi-sensor fusion according to claim 3 is characterized in that: After determining the byte size, byte quantity and data type of the multi-sensor fusion data according to the multi-sensor fusion data, the method further includes: Compare the data type of multi-sensor fusion data with the data storage type of the intelligent monitoring terminal; When the data type of the multi-sensor fusion data is consistent with the data storage type of the intelligent monitoring terminal, there is no need to convert the data type of the multi-sensor fusion data; Otherwise, the data type of the multi-sensor fusion data is converted into the data storage type of the intelligent monitoring terminal.

5. The intelligent monitoring terminal data processing method based on multi-sensor fusion according to claim 4 is characterized in that: Storing the multi-sensor fusion data in the intelligent monitoring terminal includes: According to the time characteristics, the multi-sensor fusion data is stored in the time folder corresponding to the intelligent monitoring terminal.

6. The intelligent monitoring terminal data processing system based on multi-sensor fusion is characterized by: include: Intelligent monitoring terminal; wherein, the intelligent monitoring terminal includes: a data acquisition module, a data analysis module, a data memory ratio calculation module, a memory judgment module and a storage module; The data acquisition module is used to acquire multi-sensor fusion data; The data analysis module is used to determine the byte size, byte quantity and data type of the multi-sensor fusion data based on the multi-sensor fusion data; The data memory ratio calculation module is used to calculate the memory ratio information between the multi-sensor fusion data and the corresponding type of data in the intelligent monitoring terminal according to the byte size, byte number and data type of the multi-sensor fusion data and the storage byte size of the data type of the intelligent monitoring terminal; The memory judgment module is used to compare the memory usage information, the remaining storage information of the intelligent monitoring terminal and the maximum extension information of the running memory of the intelligent monitoring terminal; when the difference between the remaining storage information of the intelligent monitoring terminal and the maximum extension information of the running memory of the intelligent monitoring terminal is greater than or equal to the memory usage information, the multi-sensor fusion data is directly stored in the intelligent monitoring terminal; when the difference between the remaining storage information of the intelligent monitoring terminal and the maximum extension information of the running memory of the intelligent monitoring terminal is less than the memory usage information, the stored data is cleared until the difference between the remaining storage information of the intelligent monitoring terminal and the maximum extension information of the running memory of the intelligent monitoring terminal is greater than the memory usage information, and then the multi-sensor fusion data is stored in the intelligent monitoring terminal; The storage module is used to store multi-sensor fusion data.

7. The intelligent monitoring terminal data processing system based on multi-sensor fusion according to claim 6 is characterized in that: The calculation formula for the memory usage information between the multi-sensor fusion data and the corresponding type of data in the intelligent monitoring terminal is: Among them, M C B is the memory usage information between multi-sensor fusion data and corresponding types of data in the intelligent monitoring terminal; i is the byte size of multi-sensor fusion data; B j is the storage byte size of the data type of the intelligent monitoring terminal; α is the number of bytes of multi-sensor fusion data.

8. The intelligent monitoring terminal data processing system based on multi-sensor fusion according to claim 7 is characterized in that: Also includes: Cloud server; wherein, the intelligent monitoring terminal also includes a data preprocessing module; The cloud server is used to store backup data; The data preprocessing module is used to perform data traversal on the multi-sensor fusion data after acquiring the multi-sensor fusion data, determine the data missing time, data missing position and data missing value type of the multi-sensor fusion data; perform data retrieval on the backup data of the cloud server according to the data missing time, data missing position and data missing value type, and obtain the backup data of the cloud server of the corresponding time, position and type; when the backup data of the cloud server of the corresponding time, position and type is empty, delete the missing position of the multi-sensor fusion data; when the backup data of the cloud server of the corresponding time, position and type is not empty, use the backup data of the cloud server of the corresponding time, position and type as filling data to fill in the missing position of the multi-sensor fusion data.

9. The intelligent monitoring terminal data processing system based on multi-sensor fusion according to claim 8 is characterized in that: The intelligent monitoring terminal further includes: a data type conversion module; The data type conversion module is used to determine the byte size, number of bytes and data type of the multi-sensor fusion data based on the multi-sensor fusion data, and then compare the data type of the multi-sensor fusion data with the data storage type of the intelligent monitoring terminal; when the data type of the multi-sensor fusion data is consistent with the data storage type of the intelligent monitoring terminal, there is no need to convert the data type of the multi-sensor fusion data; otherwise, the data type of the multi-sensor fusion data is converted into the data storage type of the intelligent monitoring terminal.

10. The intelligent monitoring terminal data processing system based on multi-sensor fusion according to claim 9 is characterized in that: The intelligent monitoring terminal further includes: a folder construction module; The folder construction module is used to construct a time file for the storage module according to the time characteristics, so that the storage module stores the multi-sensor fusion data in the time folder corresponding to the intelligent monitoring terminal according to the time characteristics.

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