A multi-type rapid detection device data uploading method

Abstract

The application discloses a multi-type rapid detection equipment data uploading method, and relates to the field of data transmission.The method comprises the following steps: acquiring instrument information, wherein the instrument information comprises detection stations, manufacturers and corresponding instrument models; setting corresponding demand data based on the instrument end, and binding the demand data to the instrument end; establishing an uploading channel between the instrument end and a cloud server; uploading the demand data in the instrument end to the cloud server based on the uploading channel; and analyzing the security state in the transmission process during the transmission of the demand data, and intercepting the demand data corresponding to the security state which does not meet the preset condition as abnormal data.The application can collect demand data, and can facilitate real-time management of each device, avoid detection data confusion, accurately locate the data monitored by each detection station and the data uploaded by each device, and make the detection data source traceable.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of data transmission, in particular to a multi-type rapid detection equipment data uploading method. BACKGROUND

[0002] At present, there are various rapid detection equipment on the market, and the data types of each manufacturer are various, which cannot meet the needs of unified supervision, and it is difficult to trace the detection equipment corresponding to the data according to the transmitted data, therefore, a multi-type rapid detection equipment data uploading method is proposed. SUMMARY

[0003] The technical problem to be solved by the present application is to provide a multi-type rapid detection equipment data uploading method.

[0004] The present application solves the above technical problems by the following technical scheme, the present application comprises the following steps:

[0005] Obtain instrument information, wherein the instrument information comprises detection stations, manufacturers and corresponding instrument models, and set an instrument end based on the instrument information;

[0006] Bind the instrument end with corresponding demand data based on the instrument end;

[0007] Establish an uploading channel between the instrument end and a cloud server, and upload the demand data in the instrument end to the cloud server based on the uploading channel;

[0008] Analyze the security state in the transmission process during the transmission of the demand data, and intercept the demand data corresponding to the security state that does not meet the preset condition as abnormal data.

[0009] Further, the step of setting the instrument end based on the instrument information comprises:

[0010] Obtain detection stations, manufacturers and corresponding instrument models as instrument information;

[0011] Set corresponding codes for the instrument information, set corresponding instrument ends based on the instrument information, and correspond the instrument ends with the codes.

[0012] Further, the step of binding the instrument end with corresponding demand data based on the instrument end comprises:

[0013] Set corresponding demand data for the instrument end, wherein the demand data comprises required data types and required data uploading formats;

[0014] Bind the demand data with the corresponding instrument end.

[0015] Further, the step of uploading the demand data of the instrument end to the cloud server based on the uploading channel comprises:

[0016] Establishing a transmission channel between the instrument end and the cloud server, giving the instrument end code to the transmission channel, and obtaining the uploading channel;

[0017] Binding information between the instrument end, the transmission channel and the cloud server through the code;

[0018] Based on the uploading channel, the demand data of the instrument end is transmitted to the cloud server through the uploading channel.

[0019] Further, the step of analyzing the security state in the process of transmitting the demand data and intercepting the demand data corresponding to the security state that does not meet the preset condition as abnormal data comprises:

[0020] Obtaining the data size change degree and frequency as transmission state information during the transmission of the demand data through the uploading channel;

[0021] Obtaining the security state of the demand data through the transmission state information;

[0022] Intercepting the demand data corresponding to the security state that does not meet the preset condition as the influence data, and prompting the instrument end corresponding to the demand data to the cloud server.

[0023] Further, the step of obtaining the security state of the demand data through the transmission state information comprises:

[0024] Based on the transmission state information, a security index is calculated, wherein the calculation formula of the security index is:

[0025] ω=ln[|S1-S2| p ], wherein ω is the security index, S1 is the original data size of the demand data, S2 is the largest data size in the transmission process of the demand data, and p is the frequency of the demand data change;

[0026] The security index is taken as the security state.

[0027] Compared with the prior art, the present application has the following advantages: the demand data is collected, and each device can be conveniently managed in real time, so that the detection data is not chaotic, the data monitored by each detection station and the data uploaded by each device can be accurately positioned, the detection data source can be traced, the transmission state information of the demand data can be obtained through the transmission state information, the security state of the demand data can be reflected by the transmission state information, the demand data corresponding to the security state that does not meet the preset condition can be intercepted as the influence data, and the system is more worthy of promotion and use. BRIEF DESCRIPTION OF DRAWINGS

[0028] Figure 1 is a method flow block diagram of the present application. DETAILED DESCRIPTION

[0029] The embodiments of the present application are described in detail below, which are implemented on the premise of the technical solutions of the present application, and detailed implementation manners and specific operation processes are given, but the protection scope of the present application is not limited to the following embodiments.

[0030] As shown in Figure 1 , the present embodiment provides a technical solution: a multi-type rapid detection equipment data uploading method, comprising the following steps:

[0031] S1, acquiring instrument information, wherein the instrument information comprises detection stations, manufacturers and corresponding instrument models, and setting an instrument end based on the instrument information;

[0032] S2, setting corresponding demand data based on the instrument end, and binding the demand data to the instrument end;

[0033] S3, establishing an uploading channel between the instrument end and a cloud server, and uploading the demand data in the instrument end to the cloud server based on the uploading channel;

[0034] S4, analyzing the security state in the transmission process in the process of transmitting the demand data, and intercepting the demand data corresponding to the security state that does not meet the preset condition as abnormal data;

[0035] It should be noted that there are various rapid detection equipment on the market at present, and the data types of each manufacturer are also various, which cannot meet the demand of unified supervision, and it is difficult to trace the detection equipment corresponding to the data according to the transmitted data, while the present application manages each equipment in real time, avoids detection data confusion, achieves accurate positioning, makes the detection data source traceable, and can monitor the transmission security of the data;

[0036] In one embodiment, the step S1 of setting the instrument end based on the instrument information comprises:

[0037] S11, acquiring detection stations, manufacturers and corresponding instrument models as instrument information;

[0038] S12, setting corresponding codes according to the instrument information, setting corresponding instrument ends based on the instrument information, and information corresponding the instrument end and the code;

[0039] It should be noted that, first of all, in order to accurately locate the background information of the detection equipment, the detection station, manufacturer and corresponding instrument model of the detection equipment need to be acquired here to obtain instrument information, and then the corresponding instrument end is set according to the instrument registration, and the corresponding instrument information is set to the corresponding code, and then the instrument end and the code are information corresponding, which has a good information corresponding effect, and is convenient for subsequent uploading of the instrument data. 1. Unified data specification, upload the data detected by the instruments of different devices according to our requirements, ensure the unity of data, 2. Real-time data upload is required, and the timeliness of data is ensured. The superior platform can process in the shortest time. 3. Real-time management of each device is carried out to avoid detection data confusion and leakage, and accurate positioning of which detection station and which device uploads data is achieved, and the detection data source can be checked;

[0040] In one embodiment, the step S2 of binding the demand data corresponding to the instrument end with information includes:

[0041] S21, setting the corresponding demand data for the corresponding instrument end, wherein the demand data includes the required data type and the required data upload format;

[0042] S22, binding the demand data with the corresponding instrument end with information;

[0043] It should be noted that, first of all, the staff needs to set the corresponding demand data for the corresponding instrument end, and the detection equipment is various, and the data uploaded by the detection equipment is also inconsistent. In order to obtain and manage the uploaded data, here the data is uploaded in the same upload format for subsequent overall processing, so the upload format of the required data needs to be set here, which has good operability. The demand data and the corresponding instrument end are bound with information, which has good data upload management effect. Unified data specification, upload the data detected by the instruments of different devices according to our requirements, ensure the unity of data; Real-time data upload is required, and the timeliness of data is ensured. The superior platform can process in the shortest time. Real-time management of each device is carried out to avoid detection data confusion and leakage, and accurate positioning of which detection station and which device uploads data is achieved, and the detection data source can be checked;

[0044] In one embodiment, the step S3 of uploading the demand data in the instrument end to the cloud server based on the upload channel includes:

[0045] S31, establishing a transmission channel between the instrument end and the cloud server, and giving the transmission channel the code of the instrument end to obtain the upload channel;

[0046] S32, bind information between the instrument end, the transmission channel and the cloud server through coding;

[0047] S33, transmit the demand data of the instrument end to the cloud server through the uploading channel based on the uploading channel:

[0048] It should be noted that in order to collect the data of the detection instrument, the transmission channel between the instrument end and the cloud server needs to be established, the code of the transmission channel is given to the instrument end, and the uploading channel is obtained. In order to facilitate the traceability of the uploaded data of the detection instrument, the transmission channel is independently established, which can transmit the demand data of the instrument end through the corresponding uploading channel to the cloud server, complete the collection of the demand data, and facilitate the real-time management of each device, avoid the confusion of detection data, and accurately locate the data monitored by which detection station and the data uploaded by which device. The detection data source can be checked;

[0049] In one embodiment, the step S4 of analyzing the security state in the process of transmitting the demand data and intercepting the demand data corresponding to the security state not meeting the preset condition as abnormal data, comprises:

[0050] S41, obtain the data size change degree and frequency in the process of transmitting the demand data through the uploading channel as transmission state information;

[0051] S42, obtain the security state of the demand data through the transmission state information;

[0052] S43, intercept the demand data corresponding to the security state not meeting the preset condition as influence data, and prompt the instrument end corresponding to the demand data to the cloud server;

[0053] It should be noted that the data size change degree and frequency in the process of transmitting the demand data through the uploading channel are obtained as transmission state information. The transmission state information can obtain the transmission state information of the demand data. The transmission state information can reflect the security state of the demand data. The demand data corresponding to the security state not meeting the preset condition can be intercepted as influence data, and the instrument end corresponding to the demand data can be prompted to the cloud server. The transmission safety of the demand data can be monitored to ensure the accuracy of the demand data transmission;

[0054] In one embodiment, the step S42 of obtaining the security state of the demand data through the transmission state information, comprises:

[0055] S421, calculate the security index based on the transmission state information, wherein the calculation formula of the security index is:

[0056] ω = ln[|S1-S2| p, wherein omega is a security index, S1 is an original data size of the demand data, S2 is a data size with the largest gap in the transmission process of the demand data, and p is a frequency of change of the demand data, and it should be noted that the greater the numerical gap between S1 and S2, the greater the value of p, and the greater the security index omega, which represents that the demand data is less secure in the transmission process;

[0057] S422, taking the security index as a security state;

[0058] It should be noted that the security of the demand data in the transmission process can be understood by transmitting the state information, and then the accuracy of the demand data can be ensured, which has a good data transmission security monitoring effect, and whether the information data is intercepted can be determined by the security index subsequently.

[0059] In addition, the terms "first", "second", "third", etc. are used only for descriptive purposes and should not be construed as indicating or implying relative importance or a specific number of the technical features indicated. Therefore, the features defined as "first", "second", etc. can explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of "a plurality of" is at least two, such as two, three, etc., unless otherwise specifically limited.

[0060] In the description of the present application, the description of the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In the present application, the illustrative description of the above terms is not necessarily for the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any suitable manner in any one or more embodiments or examples. In addition, the skilled in the art can combine and combine the different embodiments or examples described in the present application and the features of the different embodiments or examples without contradiction.

[0061] Although the embodiments of the present application have been shown and described above, it should be understood that the above embodiments are exemplary and should not be construed as limiting the present application, and those skilled in the art can make changes, modifications, replacements and variations to the above embodiments within the scope of the present application.

Claims

1. A method for uploading data from multiple types of rapid detection devices, characterized in that, Includes the following steps: Obtain instrument information, including testing station, manufacturer, and corresponding instrument model; configure the instrument terminal based on the instrument information; set the corresponding code for the corresponding instrument information; configure the corresponding instrument terminal based on the instrument information; and match the instrument terminal with the code. Based on the corresponding requirement data set on the instrument, the requirement data is bound to the corresponding information on the instrument. Establish an upload channel between the instrument and the cloud server, and upload the required data from the instrument to the cloud server based on the upload channel; The step of uploading the required data from the instrument to the cloud server via the upload channel includes: Establish a transmission channel between the instrument and the cloud server, assign the transmission channel to the instrument, and obtain the upload channel. Information is bound between the instrument, transmission channel, and cloud server through coding; The required data from the instrument is transmitted to the cloud server via the upload channel. During the transmission of demand data, the security status during the transmission process is analyzed, and demand data that does not meet the preset conditions is intercepted as abnormal data. The step of analyzing the security status during the transmission of demand data and intercepting demand data corresponding to security statuses that do not meet preset conditions as abnormal data includes: The degree and frequency of data size changes during the transmission of the acquired demand data through the upload channel are used as transmission status information. The security status of the required data is obtained by transmitting status information; The required data corresponding to the safety status that does not meet the preset conditions will be intercepted as impact data, and the instrument corresponding to the required data will be prompted to the cloud server. The step of obtaining the security status of the demand data by transmitting status information includes: The security index is calculated based on the transmission status information. The formula for calculating the security index is as follows: ,in, For safety index, The original data size of the required data. This refers to the data size with the largest discrepancy during the data transmission process. This refers to the frequency of changes in demand data; The safety index is used as a measure of the safety status.

2. The data uploading method for multi-type rapid detection devices according to claim 1, characterized in that: The step of binding the demand data to the corresponding instrument includes: Set the corresponding required data on the instrument side, including the required data type and the required data upload format; Bind the demand data to the corresponding instrument.

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