Intelligent concrete, self-sensing method for intelligent concrete, equipment and storage media

A self-sensing method for intelligent concrete, comprising:

• providing an intelligent concrete including concrete and optical fiber sensing cables embedded in the concrete;
• wherein before the concrete is poured, the optical fiber sensing cables are laid, after the optical fiber sensing cables are laid, the concrete is poured, after waiting for the concrete to solidify and harden, thereby an initial intelligent concrete with sensing function is generated, then, a multi-parametric data of the initial intelligent concrete is obtained, a coupling relationship between the multi-parametric data of the initial intelligent concrete, an external state of the initial intelligent concrete, and an internal health state of the initial intelligent concrete is established based on the multi-parametric data, thereby the intelligent concrete is obtained;
• and the intelligent concrete is used for an all-domain self-sensing of the external state and the internal health state, the optical fiber sensing cables include a vibration optical fiber sensing cable, a strain optical fiber sensing cable, a temperature optical fiber sensing cable and a humidity optical fiber sensing cable;
• obtaining historical all-domain multi-parameter optical fiber sensing data of the intelligent concrete;
• determining a first correlation between the external state and sensing data based on the historical all-domain multi-parameter optical fiber sensing data;
• determining a variation trend of the sensing data based on the historical all-domain multi-parameter optical fiber sensing data, and determining a second correlation between the internal health state and the variation trend of the sensing data;
• and
• obtaining real-time multi-parameter optical fiber sensing data of the intelligent concrete, and determining the external state based on the real-time multi-parameter optical fiber sensing data and the first correlation, and determining the internal health state based on the real-time multi-parameter optical fiber sensing data and the second correlation;
• wherein the external state includes external loads and surface conditions, the external loads include at least one of water load, traffic load, wind load and temperature load, the surface conditions include at least one of icing state, melting state and surface damage, and the internal health state includes at least one of internal dislocation, internal void, material aging and loss of prestress;
• wherein the first correlation is a correlation between an all-domain vibration sensing data, an all-domain temperature sensing data and a freezing state;
• and
• wherein the historical all-domain multi-parameter optical fiber sensing data includes multiple historical all-domain sensing sub-data corresponding to a data sampling interval, and the determining the variation trend of the sensing data based on the historical all-domain multi-parameter optical fiber sensing data, and determining the second correlation between the internal health state and the variation trend of the sensing data comprises:
• determining the variation trend of the sensing data based on the multiple historical all-domain sensing sub-data;
• obtaining multiple internal states corresponding to the multiple historical all-domain sensing sub-data, and determining a variation trend of the multiple internal states;
• and
• determining the second correlation based on the variation trend of the sensing data and the variation trend of the multiple internal states;
• wherein the self-sensing method for intelligent concrete further comprises determining whether the internal health state is a warning state, in response to the internal health state being a warning state, generating, by a processor, a warning signal, the warning signal is configured to prompt a staff to maintain the intelligent concrete, thereby avoiding more serious health problems and reducing maintenance cost of the intelligent concrete.