4results about How to "Eliminate concerns" patented technology

The invention discloses an order agricultural performance evidence storage and dynamic settlement method based on satellite-ground cooperative verification and privacy calculation, and belongs to the cross technical field of intelligent agriculture and financial science and technology. According to the invention, crop growth data is collected, encrypted and uploaded to a block chain evidence storage platform in real time through an Internet of Things node which is deployed in a farmland and has a trusted execution environment and a hardware encryption module; and meanwhile, acquiring a multi-temporal satellite remote sensing image of the target land parcel, extracting a vegetation index characteristic curve, and calculating a space-time consistency correlation coefficient with the ground data to realize anti-counterfeiting verification of the ground evidence data. In addition, the farmer side generates compliance proof without leaking original production details by using a zero-knowledge proof protocol, and the compliance proof is automatically verified by an intelligent contract. In the settlement stage, the intelligent contract calls an external market oracle machine to obtain a real-time market price, dynamic price adjustment based on a preset economic model is executed in combination with a peasant household block chain credit score, and automatic fund settlement is completed through a programmable payment interface. According to the invention, three problems of data source counterfeiting, business privacy leakage and price game default in order agriculture are effectively solved, and credible, private and fair automatic performance and settlement are realized.

The application discloses a kind of AI training data copyright protection method and system based on block chain, the method includes: extracting semantic feature vector to art work generates digital fingerprint, with using permission policy together write into block chain;AI training party extracts training data feature vector, with on-chain digital fingerprint Similarity comparison, compliance proof is generated based on zero-knowledge proof and is submitted to block chain;Smart contract is inquired according to matching result work permission, it is judged whether authorization, and digital license certificate or rejection log is generated;After training, compliance report is generated by summarizing digital license certificate, and AI model is bound and stored in block chain.Therefore, using zero-knowledge proof technology, under the premise that original training data set content is not disclosed, the compliance proof that can be verified is submitted to chain.And through smart contract, license agreement is converted into tamper-proof code logic, ensure that each authorized record is open and transparent, traceable and automatically executed.

The utility model provides an internal circulation range hood and stove all-in-one machine which comprises a plurality of relatively independent air ducts, a plurality of air ducts used for filtering oil smoke with different concentrations are arranged corresponding to the oil smoke with different concentrations, and an air inlet fan is arranged in each air duct; and the oil smoke concentration sensors are arranged at the air inlets of the multiple air ducts correspondingly, the oil smoke concentration sensors are used for measuring the oil smoke concentration corresponding to the current air ducts and comparing the oil smoke concentration with the preset oil smoke concentration, and the target air duct with the corresponding concentration is opened based on the comparison result. The cooking fumes with different concentrations flow into the air ducts with corresponding concentrations, so that when only light cooking fumes instead of heavy cooking fumes are generated during cooking, the service life of the filtering structure in the air duct for filtering and purifying the heavy cooking fumes is prolonged, and when only heavy cooking fumes instead of light cooking fumes are generated during cooking, the service life of the filtering structure in the air duct is prolonged. And the service life of the filtering structure in the air duct for filtering and purifying the light oil smoke is prolonged. The filter structure replacement period is prolonged, and the use cost is reduced.

The invention relates to the technical field of food processing, in particular to a composite modifier for raw wet flour products and application of the composite modifier. The feed additive is prepared by compounding starch, protein, an enzyme preparation, colloid, salts and auxiliary materials according to a specific proportion. According to the composite modifier, through the synergistic effect of multiple components, the elasticity, smoothness and soft elasticity of raw wet noodles can be remarkably improved at the same time, the raw wet noodles are endowed with excellent soaking resistance and blocking resistance, and the noodles are effectively prevented from being placed into lumps for a long time. The raw materials are natural, the functions are comprehensive, the effect is remarkable, and the method is suitable for industrial production and quality improvement of various raw wet flour products.