A trusted device for military physical training detection

Abstract

The application discloses a kind of trustable devices for unit physical training detection, specifically relates to physical detection technical field, including physical examination integrated equipment, backend system and blockchain bottom layer, physical examination integrated equipment and backend system are connected with each other to exchange data, physical examination integrated equipment and backend system are also connected with blockchain bottom layer, and data is chained and exchanged;The physical examination integrated equipment includes running physical information acquisition module, data cache, blockchain gateway and TEE trusted environment, the running physical information acquisition module is used to collect average heart rate, maximum heart rate, step number, kilometer number, time parameter, and the data cache is used to cache the data obtained by running physical information acquisition module.The application can ensure the accuracy of the collected parameters by chaining the collected running-related parameters, avoid human factors affecting the assessment results, and the chained data cannot be modified again.

Description

TECHNICAL FIELD

[0001] The present application relates to physical fitness detection technology field, more specifically, the utility model relates to a kind of reliable equipment for military physical training detection. BACKGROUND

[0002] When the current troops run physical training, some training data can only be counted by manual input, which will cause slow examination, complex examination process, time and manpower consumption, large examination data error, and cannot eliminate speculative phenomena, and the behavior of fraud is also difficult to investigate, unless re-examination, which increases the cost and time of work, and in fact, it is not very feasible. SUMMARY

[0003] To solve the above technical problems, the present application provides a kind of reliable equipment for military physical training detection, including physical examination integrated equipment, backend system and blockchain bottom layer, physical examination integrated equipment and backend system are connected to each other to exchange data, physical examination integrated equipment and backend system are also connected with blockchain bottom layer, and data is chained and exchanged;

[0004] The physical examination integrated equipment includes a running physical information acquisition module, a data cache, a blockchain gateway and a TEE trusted environment, the running physical information acquisition module is used to collect average heart rate, maximum heart rate, step number, kilometer number and time parameter, the data cache is used to cache the data obtained by the running physical information acquisition module, the blockchain gateway is used to enable the physical examination integrated equipment, the backend system and the blockchain bottom layer to exchange data according to certain consensus rules, and the TEE trusted environment is used to protect the chain of physical examination integrated equipment, and TEE trusted environment is used to prevent human data theft;

[0005] The backend system includes an administrator module, a data storage module and a physical analysis module, the administrator module is specifically a background used to configure the physical examination integrated equipment, which can configure the start, end and parameters to be collected of the physical examination integrated equipment, the data storage module stores the training physical parameters according to the identity of the team member, the physical analysis module integrates and summarizes the heart rate, time and other parameters according to different identities when collecting physical training parameters, and performs multi-dimensional analysis, establishes a model according to different identities, and calculates the physical performance under this identity from the model, and summarizes the physical training results.

[0006] The blockchain bottom layer is specifically a data evidence platform, which stores the above data and records after analysis on the chain, and connects with the top query platform to provide reliable data.

[0007] In a preferred embodiment, the start and end set by the administrator module are specifically the start and end times of the examination and the start and end points of the test run, the start and end points are set according to the latitude and longitude coordinates, and the parameters to be collected are specifically the duration, speed, heart rate, distance and step number of the run.

[0008] In a preferred embodiment, after the running physical information collection module obtains data information, the data information is stored in a data cache, the data information is composed of digital bits, the digital bit information is segmented into several parts by using a device to shift and superimpose the digital bit information, and a shift superimposition value is obtained.

[0009] In a preferred embodiment, when the parameter data is saved in the data storage module of the backend system, the data storage module sends the data to the physical analysis module, the physical analysis module analyzes the collected real-time data, and summarizes the duration, speed, heart rate and distance of the running exercise to generate a corresponding chart.

[0010] In a preferred embodiment, the physical analysis module analyzes the data according to the identity, generates a hash value according to a hash operation, and compares the hash value with a hash value of on-chain data, and if the two are consistent, it proves that the parameters collected by the running device have not been tampered with, the data is reliable and the reliable analysis result is output; if the two are not the same, the data verification fails, indicating that the parameters in the system are not reliable.

[0011] Technical effects and advantages of the present application:

[0012] 1. By chaining the collected running related parameters, the accuracy of the collected parameters can be ensured, human factors affecting the examination results can be avoided, and the chained data cannot be modified again;

[0013] 2. The system can comprehensively evaluate the physical condition of soldiers, is more objective than the previous single examination sampling inspection, and the physical condition of soldiers needs continuous monitoring, not only the physical quality of soldiers needs to be concerned during exercise, but also risk warning needs to be performed during exercise to prevent death caused by excessive heart rate, and the physical condition is also an important basis for promotion of soldiers, and the data needs to be fair and just and cannot be modified at will. BRIEF DESCRIPTION OF DRAWINGS

[0014] Figure 1 The system framework structure diagram of the present application;

[0015] Figure 2 The running process schematic diagram of the present application. DETAILED DESCRIPTION

[0016] The application is further described in detail below with reference to the drawings and specific embodiments. The embodiments of the application are given for illustrative and descriptive purposes only and are not intended to be exhaustive or to limit the application to the forms disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art. Embodiments are chosen and described in order to best explain the principles of the application and its practical application to thereby enable others skilled in the art to best utilize the application in various embodiments and with various modifications as are suited to the particular use contemplated.

[0017] Since the information of the blockchain is recorded by all nodes after being added to the blockchain through consensus and is linked to each other through cryptography, the difficulty and cost of tampering are very high, so the on-chain can improve the security of data and prevent data from being modified at will.

[0018] Decentralization is the most basic feature of blockchain, which means that blockchain does not rely on central management nodes and can realize distributed recording, storage and updating of data. Blockchain stores all historical data after the genesis block through block data structure, and any data on the blockchain can be traced back to its origin through the chain structure.

[0019] As shown in Figure 1 , the physical examination integrated device and the backend system are connected to each other for data exchange, and the physical examination integrated device and the backend system are also connected with the blockchain bottom layer for data on-chain and exchange;

[0020] Further, the blockchain bottom layer is a data storage platform, which stores the above data and the analyzed records on the chain, and connects with the top query platform to provide trusted data

[0021] The physical examination integrated device includes a running physical information acquisition module, a data cache, a blockchain gateway and a TEE trusted environment, the running physical information acquisition module is used to acquire average heart rate, maximum heart rate, step number, kilometer number and time parameter, the data cache is used to cache the data acquired by the running physical information acquisition module, the blockchain gateway is used to enable the physical examination integrated device, the backend system and the blockchain bottom layer to exchange data according to certain consensus rules, and the TEE trusted environment is used to protect the on-chain of the physical examination integrated device and prevent data from being stolen by human beings;

[0022] And the physical examination integrated device is an integrated wearable device, which integrates various sensors and chips required for examination,

[0023] On the basis of the above, in the examination process, the physical examination integrated equipment generates acceleration proportional to the change of resistance, voltage and capacitance through acceleration sensor (which can perceive the direction and acceleration of object motion), piezoresistive, piezoelectric and capacitive working principle, and collects through corresponding amplification and filtering circuit to achieve the effect of detecting steps; the distance trajectory is detected by GPS; the heart rate is detected by measuring reflected light, and the specific process is as follows: the physical examination integrated equipment hits a beam of light on the skin, when the heart pumps blood, the blood vessels are full of blood. Blood tends to absorb green light and reflect red light, so the heart will produce different color reflected light when it contracts and relaxes, and the physical examination integrated equipment measures the heart rate by detecting the reflected light.

[0024] The physical examination integrated equipment mainly collects parameters such as average heart rate, maximum heart rate, steps, kilometers, time, etc.

[0025] The back-end system includes an administrator module, a data storage module and a physical ability analysis module. The administrator module is specifically a background used for configuring the physical examination integrated equipment, which can configure the start, end and parameters to be collected of the physical examination integrated equipment. The data storage module stores the training physical ability parameters according to the identity of the team member. The physical ability analysis module comprehensively summarizes the parameters such as heart rate and time according to different identities when collecting the physical ability training parameters, and performs multi-dimensional analysis. According to different identities, a model is established, and the physical ability results under this identity are calculated from the model, so as to make a summary of the physical ability training results;

[0026] The blockchain bottom layer is specifically a data evidence platform, which stores the above data and analyzed records on the chain, and connects with the top query platform to provide credible data.

[0027] As shown in Figure 2 Before the examination, the administrator module sets the examination passing parameters, the examination start and end time and the starting point and endpoint of the test run in the background system. The starting point and endpoint are set according to the latitude and longitude coordinates. The test information is transmitted to the physical examination integrated equipment through wireless equipment. In addition, it is necessary to ensure that the physical examination integrated equipment has sufficient power, and the team member correctly wears the physical examination integrated equipment.

[0028] The examination is performed, and the team member starts the test by wearing the physical examination integrated equipment.

[0029] The preparation work should be done in advance when the starting time set in the background is about to arrive. At the moment when the starting time starts, the test run starts, and the team member starts running. The data is counted according to the change of distance positioning, step count and heart rate change in the test process.

[0030] The physical training parameters collected by the physical examination integrated equipment are stored in the data cache first, and the data information is composed of digital bits, the digital bit information is segmented into several parts by using the system to shift and superimpose, and the shift superimposed value is obtained.

[0031] Then the shift superimposed value is generated by the system internal system hash operation, and then it is transmitted to the blockchain. Due to the uniqueness of the timestamp and hash value, it achieves anti-fake, transparent and open. The physical examination integrated equipment saves the parameter data in the background module database and sends it to the physical analysis module. The physical analysis module analyzes the collected real-time data, summarizes the running time, speed, heart rate, distance and other corresponding charts.

[0032] The physical analysis module analyzes the data according to the hash value generated by the hash operation and compares it with the hash value of the on-chain data. If they are consistent, it proves that the parameters collected by the running equipment have not been tampered with, the data is reliable and the reliable analysis result is output. If they are not the same, the data verification fails, indicating that the parameters in the system are not reliable.

[0033] Obviously, the described embodiments are only part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by ordinary skilled persons in the art and related fields without creative labor shall belong to the scope of protection of the present application. The structures, devices and operation methods not specifically described and explained in the present application are implemented according to the conventional means in the art, unless otherwise specified and limited.

Claims

1. A trusted device for unit physical fitness training detection, characterized in that: The physical examination integrated device, the backend system and the blockchain bottom layer are connected with each other to exchange data, and the physical examination integrated device and the backend system are also connected with the blockchain bottom layer to perform data on-chain and exchange; The physical examination integrated device is an integrated wearable device, and the required sensors and chips for examination are integrated in the wearable device; The physical examination integrated device comprises a running physical information acquisition module, a data cache, a blockchain gateway and a TEE trusted environment, the running physical information acquisition module is used to acquire average heart rate, maximum heart rate, step count, distance, and time parameters, the data cache is used to cache the data acquired by the running physical information acquisition module, the blockchain gateway is used to enable the physical examination integrated device, the backend system and the blockchain bottom layer to exchange data according to certain consensus rules, and the TEE trusted environment is used to protect the on-chain of the physical examination integrated device and prevent data from being stolen by human beings. In the examination process, the physical examination integrated device generates acceleration proportional to the changes of resistance, voltage and capacitance through an acceleration sensor adopting piezoresistive, piezoelectric and capacitive working principles, and achieves the effect of detecting step count through corresponding amplification and filtering circuits, detects the travel trajectory through GPS, and detects heart rate by measuring reflected light, and the specific process is as follows: The physical examination integrated device hits a beam of light on the skin, when the heart pumps blood, the blood vessels are filled with blood, and the heart produces different color reflected light when it contracts and relaxes, and the physical examination integrated device measures the heart rate by detecting the reflected light. The backend system comprises an administrator module, a data storage module and a physical analysis module, the administrator module is specifically a background used to configure the physical examination integrated device, can configure the start, end and required parameters of the physical examination integrated device, the data storage module stores the training physical parameters according to the identities of the players, and the physical analysis module comprehensively summarizes the heart rate and time parameters according to different identities when the physical training parameters are collected, and performs multi-dimensional analysis, establishes a model according to different identities, and calculates the physical performance under the identity from the model to summarize the physical training results. The blockchain bottom layer is specifically a data storage platform, and the data collected and generated by the physical examination integrated device and the records analyzed by the physical analysis module are stored on the chain, and the top query platform is connected to provide trusted data.

2. The trusted device for military physical training detection according to claim 1, wherein: The start and end set by the administrator module are specifically the start and end times of the examination and the starting point and ending point of the test running, the starting point and ending point are set according to the latitude and longitude coordinates, and the required parameters are specifically the running time, speed, heart rate, distance and step count.

3. The authentic device for military physical training detection according to claim 1, characterized in that: After the running physical information acquisition module acquires data information, the data information is stored in the data cache, the data information is composed of digital bits, the digital bit information is segmented into several parts by using the device to shift and superimpose the digital bit information, and a shift superposition value is acquired.

4. The authentic device for military physical training detection according to claim 1, characterized in that: When saving the parameter data in the data storage module of the backend system, the data storage module sends the data to the physical fitness analysis module, and the physical fitness analysis module analyzes the collected real-time data and summarizes the corresponding charts of the running time, speed, heart rate and distance.

5. The authentic device for military physical training detection according to claim 4, characterized in that: The physical fitness analysis module analyzes the data according to the identity, generates a hash value according to the hash operation, and compares it with the hash value of the on-chain data. If they are consistent, it proves that the parameters collected by the running device have not been tampered with, the data is reliable, and the reliable analysis result is output. If they are not the same, the data verification fails, indicating that the parameters in the system are not reliable.

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