Multi-source medical wound resource data acquisition system and device and storage medium thereof

Abstract

The invention discloses a multi-source medical wound resource data acquisition system and device and a storage medium thereof, and relates to the technical field of data processing, and the system comprises a data acquisition module, a data classification module, a data transmission module, a transmission management module and a data monitoring module. The data acquisition module is used for formulating a data acquisition strategy and acquiring medical and invasive resource data of an enterprise; the data classification module is used for classifying the medical and invasive resource data cached in the terminal database to obtain a storage path of a storage area where a data packet is located; the transmission management module is used for verifying the communication state of the data transmission module in real time and assisting in determining a corresponding data transmission mode; the data transmission module is used for transmitting the data packet to the data center for storage in combination with the target transmission mode and the storage path, thereby improving the data transmission efficiency; and the data monitoring module is used for retrieving, looking up and monitoring the medical and invasive resource data stored in the data center, so that the medical and invasive resource data is updated in time, and the application value of the medical and invasive resource data is improved.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, specifically to a multi-source scientific and technological innovation resource data acquisition system, device, and storage medium. Background Technology

[0002] With the development of computer technology, communication technology, and internet technology, data is accumulating more and more. Faced with this surge in data, people hope to extract valuable information so that this data can be better utilized to serve people. Modern enterprises need to store and process increasingly massive amounts of information, and the demands for information processing are becoming increasingly complex. To meet the need for large-scale data collection and processing, many enterprises have established their own data collection systems.

[0003] However, existing data acquisition systems generally have poor security performance and lack good data interaction functions, making it difficult to perform data extraction, data processing, and data presentation effectively. Furthermore, they cannot classify the stored science and technology innovation resource data into different levels to update high-frequency data in a timely manner and improve the application value of the science and technology innovation resource data. Based on the above shortcomings, this invention proposes a multi-source science and technology innovation resource data acquisition system, device, and its storage medium. Summary of the Invention

[0004] This invention aims to solve at least one of the technical problems existing in the prior art. To this end, this invention proposes a multi-source scientific and technological innovation resource data acquisition system, device, and its storage medium.

[0005] To achieve the above objectives, according to an embodiment of the first aspect of the present invention, a multi-source science and technology innovation resource data acquisition system is proposed, comprising a data acquisition module, a data classification module, a data transmission module, a data center, a transmission management module, and a data monitoring module;

[0006] The data acquisition module is used to formulate data acquisition strategies, collect enterprise science and technology innovation resource data and cache it in the terminal database; the data classification module is used to classify the science and technology innovation resource data cached in the terminal database and obtain the storage path of the storage area where the data packet is located.

[0007] The transmission management module is used to verify the communication status of the data transmission module in real time and calculate the communication deviation index Cs; based on the communication deviation index Cs, it helps to determine the corresponding data transmission mode and marks it as the target transmission mode; the data transmission module is used to transmit the data packet to the data center for storage by combining the target transmission mode and the storage path.

[0008] The data monitoring module is used to retrieve, view, and monitor the science and technology innovation resource data stored in the data center, and determine whether the data needs to be updated. The specific monitoring steps are as follows:

[0009] When it is detected that science and technology innovation resource data is being retrieved and viewed, an automatic countdown begins; the observation coefficient GC of the science and technology innovation resource data is calculated; the countdown duration is T2, where T2 is a preset value.

[0010] The observation coefficient GC is compared with the preset observation threshold; if the observation coefficient GC ≥ the preset observation threshold, the scientific and technological innovation resource data is marked as high-frequency data and a data update instruction is generated.

[0011] If the observation coefficient GC < the preset observation threshold, the science and technology innovation resource data is marked as low-frequency data, and the update duration threshold for low-frequency data is set to TY. When the storage duration of low-frequency data reaches TY, a data update instruction is generated, and the storage duration of low-frequency data is reset to zero, and the timing restarts. The data monitoring module is used to feed the data update instruction back to the data acquisition module through the data center to obtain the latest dynamic science and technology innovation resource data.

[0012] Furthermore, the specific working steps of the transmission management module are as follows:

[0013] The transmission management module sends a verification configuration message to the FPGA master controller of the data transmission module according to a preset verification cycle. The verification configuration message includes a first signal quality threshold.

[0014] In response to receiving the verification configuration message, the FPGA master controller of the data transmission module sends a second synchronization signal to the transmission management module to calculate the signal loss index SH.

[0015] Establish a curve of signal loss index SH changing over time, and compare the signal loss index SH with a preset loss threshold; if SH is greater than the preset loss threshold, then cut the corresponding curve segment in the corresponding curve and mark it as the deviation curve segment.

[0016] Within a preset time period, the number of deviation curve segments is counted as Pz; the deviation reference area M1 is obtained by integrating all deviation curve segments over time; the communication deviation index Cs is calculated using the formula Cs=Pz×a3+M1×a4, where a3 and a4 are coefficient factors.

[0017] The corresponding data transmission method is determined using the communication deviation index Cs as an auxiliary method, specifically:

[0018] The data center stores a mapping table between the communication deviation index range and the data transmission method. Based on the mapping table, the data transmission method corresponding to the communication deviation index Cs is determined and marked as the target transmission method. The data transmission methods include parallel transmission, serial transmission, asynchronous transmission, synchronous transmission, simplex data transmission, half-duplex data transmission, and full-duplex data transmission.

[0019] Furthermore, the specific calculation method for the signal loss index SH is as follows:

[0020] The transmission management module determines the signal quality of the second synchronization signal and compares the signal quality of the second synchronization signal with the first signal quality threshold to obtain the corresponding quality difference value ZC.

[0021] The response duration XT is obtained by calculating the time difference between the moment when the transmission management module sends the verification configuration message and the moment when the transmission management module listens to the second synchronization signal again; the signal loss index SH is obtained by using the formula SH=ZC×a1+XT×a2, where a1 and a2 are coefficient factors.

[0022] Furthermore, the data monitoring module also includes:

[0023] During the countdown phase, the data on science and technology innovation resources will continue to be searched and monitored. When the data on science and technology innovation resources is searched and viewed again, the countdown will automatically reset to its original value and start counting down again according to T2; otherwise, the countdown will reset to zero and stop.

[0024] The number of times the science and technology innovation resource data is retrieved and viewed during the countdown phase is called the retrieval frequency JP1; the duration of the countdown phase is called the retrieval duration JPT; the observation coefficient GC of the science and technology innovation resource data is calculated using the formula GC=JP1×r1+JPT×r2; where r1 and r2 are both coefficient factors.

[0025] Furthermore, the specific classification steps of the data classification module are as follows:

[0026] The cached science and technology innovation resource data is integrated and packaged into a data package, and the file types corresponding to the data files in the data package are obtained; the file types include document files, image files, audio and video files, and other files;

[0027] The total number of data files in the statistical data package and the number of each file type are used to obtain the document percentage (WZu), image percentage (TZu), audio / video percentage (YZu), and other percentages (QZu).

[0028] The file type with the largest proportion is marked as the data packet type, resulting in document data packets, image data packets, audio and video data packets, and other data packets; each type of data packet is assigned a specific storage area, resulting in the storage path of the storage area where the data packet is located.

[0029] Furthermore, the data acquisition strategy includes acquisition frequency and acquisition method; the acquisition method includes trusted edge terminal data acquisition and trusted subject behavior reporting.

[0030] Furthermore, a multi-source science and technology innovation resource data acquisition device includes a processor and a memory; the memory stores an application program that can be executed by the processor; the processor is used to execute the multi-source science and technology innovation resource data acquisition system shown above according to the application program.

[0031] Furthermore, a storage medium storing a computer program, which, when executed by a processor, implements the multi-source scientific and technological innovation resource data acquisition system described above.

[0032] Compared with the prior art, the beneficial effects of the present invention are:

[0033] 1. In this invention, the data acquisition module is used to formulate data acquisition strategies and collect enterprise science and technology innovation resource data; the data classification module is used to classify the science and technology innovation resource data cached in the terminal database, obtain the storage path of the data packet storage area, and feed it back to the data transmission module; the transmission management module is used to verify the communication status of the data transmission module in real time and calculate the communication deviation index Cs; the communication deviation index Cs is used to help determine the corresponding data transmission method; the data transmission module is used to transmit the data packet to the data center storage in combination with the target transmission method and storage path; thereby improving data transmission efficiency.

[0034] 2. In this invention, the data monitoring module is used to monitor and retrieve science and technology innovation resource data stored in the data center. When science and technology innovation resource data is detected to be retrieved, an automatic countdown is initiated to calculate the observation coefficient GC of the data. If the observation coefficient GC ≥ a preset observation threshold, the data is marked as high-frequency data, and a data update instruction is generated to obtain the latest dynamic data. If the observation coefficient GC < a preset observation threshold, the data is marked as low-frequency data, and the update duration threshold for low-frequency data is set to TY, allowing for periodic updates. This improves the application value of the science and technology innovation resource data. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0036] Figure 1 This is a system block diagram of a multi-source scientific and technological innovation resource data acquisition system according to the present invention. Detailed Implementation

[0037] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. 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.

[0038] like Figure 1 As shown, a multi-source science and technology innovation resource data acquisition system includes a data acquisition module, a terminal database, a data classification module, a data transmission module, a data center, a transmission management module, and a data monitoring module.

[0039] The data acquisition module is used to formulate data acquisition strategies, collect enterprise science and technology innovation resource data and cache it in the terminal database; the data acquisition strategy includes acquisition frequency and acquisition method; the acquisition method includes trusted edge terminal data acquisition and trusted subject behavior reporting;

[0040] The data classification module is connected to the terminal database and is used to classify the science and technology innovation resource data cached in the terminal database, obtain the storage path of the data packet's storage area, and feed it back to the data transmission module; the specific classification steps are as follows:

[0041] The cached science and technology innovation resource data is integrated and packaged into a data package, the data files in the data package are obtained, and the file types corresponding to the data files are obtained; the file types are divided into document files, image files, audio and video files, and other files;

[0042] The total number of data files in the statistical data package and the number of each file type are used to obtain the document percentage (WZu), image percentage (TZu), audio / video percentage (YZu), and other percentages (QZu).

[0043] The document proportion, image proportion, audio / video proportion, and other proportions are compared; the file type with the largest proportion is marked as the data packet type, resulting in document data packets, image data packets, audio / video data packets, and other data packets;

[0044] Each type of data packet is assigned a specific storage area, and the storage path of the data packet is obtained; for example, file data packets are stored in the document storage area, image data packets are stored in the image storage area, and so on.

[0045] The transmission management module is used to verify the communication status of the data transmission module in real time and assist in determining the corresponding data transmission method; the data transmission module is used to transmit data packets to the data center for storage by combining the target transmission method and storage path; thereby improving data transmission efficiency.

[0046] The specific working steps of the transmission management module are as follows:

[0047] The transmission management module sends a verification configuration message to the FPGA master controller of the data transmission module according to a preset verification cycle. The verification configuration message includes a first signal quality threshold.

[0048] In response to receiving a verification configuration message sent by the transmission management module, the FPGA master controller of the data transmission module sends a second synchronization signal to the transmission management module; the transmission management module determines the signal quality of the second synchronization signal and compares the signal quality of the second synchronization signal with the first signal quality threshold to obtain the corresponding quality difference value ZC;

[0049] The response duration XT is calculated by taking the time difference between the moment the transmission management module sends the verification configuration message and the moment the transmission management module listens for the second synchronization signal again. The signal loss index SH is calculated using the formula SH = ZC × a1 + XT × a2, where a1 and a2 are coefficient factors.

[0050] Establish a curve of signal loss index SH changing over time, and compare the signal loss index SH with a preset loss threshold; if SH is greater than the preset loss threshold, then cut the corresponding curve segment in the corresponding curve and mark it as the deviation curve segment.

[0051] Within a preset time period, the number of deviation curve segments is counted as Pz; the deviation reference area M1 is obtained by integrating all deviation curve segments over time; the communication deviation index Cs is calculated using the formula Cs=Pz×a3+M1×a4, where a3 and a4 are coefficient factors.

[0052] The corresponding data transmission method is determined using the communication deviation index Cs as an auxiliary method, specifically:

[0053] The data center stores a mapping table between the communication deviation index range and the data transmission method. Based on the mapping table, the data transmission method corresponding to the communication deviation index Cs is determined and marked as the target transmission method. The data transmission methods include parallel transmission, serial transmission, asynchronous transmission, synchronous transmission, simplex data transmission, half-duplex data transmission, and full-duplex data transmission.

[0054] The data monitoring module is used to retrieve, view, and monitor the science and technology innovation resource data stored in the data center to determine whether the data needs to be updated. The specific monitoring steps are as follows:

[0055] When it is detected that science and technology innovation resource data is being retrieved and viewed, an automatic countdown will begin. The countdown duration is T2, where T2 is a preset value; for example, T2 is set to 2 hours.

[0056] During the countdown phase, the data on science and technology innovation resources will continue to be searched and monitored. When the data on science and technology innovation resources is searched and viewed again, the countdown will automatically reset to its original value and start counting down again according to T2; otherwise, the countdown will reset to zero and stop.

[0057] The number of times the science and technology innovation resource data was retrieved and viewed during the countdown phase is called the retrieval frequency JP1; the duration of the countdown phase is called the retrieval duration JPT.

[0058] The observation coefficient GC of the science and technology innovation resource data is calculated using the formula GC = JP1 × r1 + JPT × r2, where r1 and r2 are coefficient factors. The observation coefficient GC is then compared with the preset observation threshold.

[0059] If the observation coefficient GC ≥ the preset observation threshold, the science and technology innovation resource data will be marked as high-frequency data and a data update instruction will be generated. The data monitoring module is used to feed the data update instruction back to the data acquisition module through the data center to obtain the latest dynamic science and technology innovation resource data, thereby improving the application value of the science and technology innovation resource data.

[0060] If the observation coefficient GC < the preset observation threshold, the science and technology innovation resource data will be marked as low-frequency data, and the update duration threshold for low-frequency data will be set to TY. When the storage duration of low-frequency data reaches TY, a data update instruction will be generated to update the low-frequency data on a timed basis. At the same time, the storage duration of low-frequency data will be reset to zero and the timing will start again.

[0061] A further technical solution is: a multi-source scientific and technological innovation resource data acquisition device, including a processor and a memory;

[0062] The memory contains applications that can be executed by the processor;

[0063] The processor is used to execute the multi-source science and technology innovation resource data acquisition system described above, according to the application program;

[0064] A further technical solution is: a storage medium on which a computer program is stored; when the computer program is executed by a processor, it implements the aforementioned multi-source scientific and technological innovation resource data acquisition system.

[0065] The above formulas are all numerical calculations after removing dimensions. The formulas are obtained by software simulation based on a large amount of data and are closest to the real situation. The preset parameters and preset thresholds in the formulas are set by those skilled in the art according to the actual situation or obtained by simulation based on a large amount of data.

[0066] Working principle of the invention:

[0067] A multi-source science and technology innovation resource data acquisition system, device, and storage medium are disclosed. During operation, the data acquisition module formulates data acquisition strategies and collects science and technology innovation resource data from enterprises; the data classification module classifies the science and technology innovation resource data cached in the terminal database, obtains the storage path of the data packet's storage area, and feeds it back to the data transmission module; the transmission management module verifies the communication status of the data transmission module in real time and calculates the communication deviation index Cs; the communication deviation index Cs helps determine the corresponding data transmission method; and the data transmission module transmits the data packets, combined with the target transmission method and storage path, to the data center for storage, thereby improving data transmission efficiency.

[0068] The data monitoring module is used to retrieve and monitor the science and technology innovation resource data stored in the data center. When the science and technology innovation resource data is detected to be retrieved, an automatic countdown is initiated to calculate the observation coefficient GC of the data. If the observation coefficient GC is greater than or equal to a preset observation threshold, the data is marked as high-frequency data, and a data update instruction is generated to obtain the latest dynamic data. If the observation coefficient GC is less than the preset observation threshold, the data is marked as low-frequency data, and the update duration threshold for low-frequency data is set to TY, allowing for regular updates. This enhances the application value of the science and technology innovation resource data.

[0069] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0070] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A multi-source scientific and technological innovation resource data acquisition system, characterized in that, It includes a data acquisition module, a data classification module, a data transmission module, a data center, a transmission management module, and a data monitoring module; The data acquisition module is used to formulate data acquisition strategies, collect enterprise science and technology innovation resource data and cache it in the terminal database; the data classification module is used to classify the science and technology innovation resource data cached in the terminal database and obtain the storage path of the storage area where the data packet is located. The transmission management module is used to verify the communication status of the data transmission module in real time and calculate the communication deviation index Cs; based on the communication deviation index Cs, it helps to determine the corresponding data transmission mode and marks it as the target transmission mode; the data transmission module is used to transmit the data packet to the data center for storage by combining the target transmission mode and the storage path. The data monitoring module is used to retrieve, view, and monitor the science and technology innovation resource data stored in the data center, and determine whether the data needs to be updated. The specific monitoring steps are as follows: The countdown begins automatically when science and technology innovation resource data is detected to be retrieved or viewed. The observation coefficient GC of the science and technology innovation resource data is calculated; the countdown time is T2, where T2 is a preset value. Compare the observation coefficient GC with the preset observation threshold; If the observation coefficient GC ≥ the preset observation threshold, the science and technology innovation resource data will be marked as high-frequency data and a data update instruction will be generated. If the observation coefficient GC < the preset observation threshold, the science and technology innovation resource data will be marked as low-frequency data, and the update time threshold for low-frequency data will be set to TY. When the storage time of low-frequency data reaches TY, a data update instruction is generated, and the storage time of low-frequency data is reset to zero, and the timing restarts. The data monitoring module is used to send data update instructions back to the data acquisition module via the data center in order to obtain the latest dynamic science and technology innovation resource data.

2. The multi-source scientific and technological innovation resource data acquisition system according to claim 1, characterized in that, The specific working steps of the transmission management module are as follows: The transmission management module sends a verification configuration message to the FPGA master controller of the data transmission module according to a preset verification cycle. The verification configuration message includes a first signal quality threshold. In response to receiving the verification configuration message, the FPGA master controller of the data transmission module sends a second synchronization signal to the transmission management module to calculate the signal loss index SH. Establish a curve of signal loss index SH changing over time, and compare the signal loss index SH with a preset loss threshold; if SH is greater than the preset loss threshold, then cut the corresponding curve segment in the corresponding curve and mark it as the deviation curve segment. Within a preset time period, the number of deviation curve segments is counted as Pz; the deviation area M1 is obtained by integrating all deviation curve segments over time. The communication deviation index Cs is calculated using the formula Cs=Pz×a3+M1×a4, where a3 and a4 are coefficient factors. The corresponding data transmission method is determined using the communication deviation index Cs as an auxiliary method, specifically: The data center stores a mapping table between the communication deviation index range and the data transmission method. Based on the mapping table, the data transmission method corresponding to the communication deviation index Cs is determined and marked as the target transmission method. The data transmission methods include parallel transmission, serial transmission, asynchronous transmission, synchronous transmission, simplex data transmission, half-duplex data transmission, and full-duplex data transmission.

3. The multi-source scientific and technological innovation resource data acquisition system according to claim 2, characterized in that, The specific calculation method for the signal loss index SH is as follows: The transmission management module determines the signal quality of the second synchronization signal and compares the signal quality of the second synchronization signal with the first signal quality threshold to obtain the corresponding quality difference value ZC. The response duration XT is obtained by calculating the time difference between the moment when the transmission management module sends the verification configuration message and the moment when the transmission management module listens to the second synchronization signal again; the signal loss index SH is obtained by using the formula SH=ZC×a1+XT×a2, where a1 and a2 are coefficient factors.

4. The multi-source scientific and technological innovation resource data acquisition system according to claim 1, characterized in that, The data monitoring module also includes: During the countdown phase, the data on science and technology innovation resources will continue to be searched and monitored. When the data on science and technology innovation resources is searched and viewed again, the countdown will automatically reset to its original value and start counting down again according to T2; otherwise, the countdown will reset to zero and stop. The number of times the science and technology innovation resource data is retrieved and viewed during the countdown phase is called the retrieval frequency JP1; the duration of the countdown phase is called the retrieval duration JPT; the observation coefficient GC of the science and technology innovation resource data is calculated using the formula GC=JP1×r1+JPT×r2; where r1 and r2 are both coefficient factors.

5. The multi-source scientific and technological innovation resource data acquisition system according to claim 1, characterized in that, The specific classification steps of the data classification module are as follows: The cached science and technology innovation resource data is integrated and packaged into a data package, and the file types corresponding to the data files in the data package are obtained; the file types include document files, image files, audio and video files, and other files; The total number of data files in the statistical data package and the number of each file type are used to obtain the document percentage (WZu), image percentage (TZu), audio / video percentage (YZu), and other percentages (QZu). The file type with the largest proportion is marked as the data packet type, resulting in document data packets, image data packets, audio and video data packets, and other data packets; each type of data packet is assigned a specific storage area, resulting in the storage path of the storage area where the data packet is located.

6. The multi-source scientific and technological innovation resource data acquisition system according to claim 1, characterized in that, The data acquisition strategy includes acquisition frequency and acquisition method; the acquisition method includes trusted edge terminal data acquisition and trusted subject behavior reporting.

7. A multi-source scientific and technological innovation resource data acquisition device, characterized in that, It includes a processor and a memory; the memory stores applications that can be executed by the processor. The processor is used to execute, according to the application, a multi-source science and technology innovation resource data acquisition system as described in any one of claims 1-6.

8. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements a multi-source science and technology innovation resource data acquisition system as described in any one of claims 1-6.

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