Abstract: The embodiments of the present disclosure provide a fault diagnosis method, a method for building a fault diagnosis model, fault diagnosis equipment, electronic device, and non-transitory computer-readable storage medium. The fault diagnosis method, for diagnosing a fluid device, which includes a suction end and a discharge end, includes: obtaining a data set for diagnosing the fluid device, wherein the data set includes first characteristic data about the suction end, second characteristic data about the discharge end, and input-output difference data, and the input-output difference data represents data difference between the suction end and the discharge end; obtaining a fault diagnosis model; and determining whether the fluid device is in failure based on the fault diagnosis model and the data set.

Abstract: A method for generating a portrait of mechanical equipment includes: obtaining all data information related to mechanical equipment; performing data fusion on the data information related to the mechanical equipment to obtain a multi-source data information set; obtaining target attribute data and target state data of the mechanical equipment based on the multi-source data information set; generating attribute labels of the mechanical equipment based on the obtained target attribute data; inputting current target state data of the mechanical equipment into a trained neural network model to obtain current state labels of the mechanical equipment, where the current state labels include state label values of the mechanical equipment; and generating an equipment portrait of the mechanical equipment through attribute label values of the obtained attribute labels and the state label values of the obtained current state labels.

Abstract: A valve fault detection method includes: constructing a valve fault indicator system reflecting characteristics of vibration signals of valve states; establishing an LSTM-AE model by using an LSTM deep model and according to an autoencoder principle, and setting a fault discrimination threshold; inputting training data into the LSTM-AE model based on the valve fault indicator system, to train the LSTM-AE model; and inputting detection data of a to-be-detected valve into the trained LSTM-AE model based on the valve fault indicator system, and comparing an output value obtained by the LSTM-AE model with the set fault discrimination threshold, to judge whether the detected valve is faulty and outputting a first judgment result.

Abstract: The embodiments of the present disclosure provide a fault diagnosis method, a method for building a fault diagnosis model, fault diagnosis equipment, electronic device, and non-transitory computer-readable storage medium. The fault diagnosis method, for diagnosing a fluid device, which includes a suction end and a discharge end, includes: obtaining a data set for diagnosing the fluid device, wherein the data set includes first characteristic data about the suction end, second characteristic data about the discharge end, and input-output difference data, and the input-output difference data represents data difference between the suction end and the discharge end; obtaining a fault diagnosis model; and determining whether the fluid device is in failure based on the fault diagnosis model and the data set.

Abstract: Methods and devices for issuing merchandise coupon of ordering food are disclosed in this application, wherein the method includes: creating a merchandise instance for generating a merchandise coupon, and determining instance food information associated with the merchandise instance according to an obtained candidate food list for the merchandise instance, storing an association between merchandise instance and instance food information as an instance-food association record in a preset merchandise coupon database; creating the merchandise coupon for the merchandise instance; issuing the created merchandise coupon to a user terminal; storing a correspondence between issued merchandise coupon and user terminal receiving the merchandise coupon as a coupon-user association record in the merchandise coupon database, such that, when receiving a food ordering request from the user terminal, performing a cancellation after verification on the issued merchandise coupon according to the coupon-user association record

Abstract: The present disclosure discloses methods and devices for ordering package products. The method includes: receiving an order information processing request and generating corresponding order data; if the order information comprises package ordering information, generating, for the package ordering information, purchase data sheets associated with the order data, generating purchase group data sheets associated with the purchase data sheets based on packages as granularities, and generating purchase product details data sheets associated with the purchase group data sheets based on products as granularities; storing the order data, the purchase data sheets, the purchase group data sheets, and the purchase product details data sheets to complete ordering of package products.

Abstract: The present disclosure provides methods and apparatuses for creating a times card voucher and methods and apparatuses for writing off a times card voucher. The method includes: receiving an acquisition request for a times card; creating a primary voucher and at least one secondary voucher corresponding to the times card based on the acquisition request, wherein a number of the at least one secondary voucher is consistent with a number of times of use authorized for the times card; generating at least one of a first write-off code corresponding to the primary voucher, or a second write-off code corresponding to the at least one secondary voucher, so as to write off the at least one secondary voucher.

Abstract: The present application relates to the molecular labeling and in vivo imaging of amyloids. Specifically, the present application relates to a polypeptide-based method/vector for targeting amyloids. Such a method/vector enables the transportation of compounds or drugs across blood-brain-barrier of an individual and then binding to amyloids in brain. Particularly, the vector of the present application can transport an imaging group linked to the vector across the blood-brain-barrier, and can binds to amyloids in brain, and thus enables the labeling and imaging of amyloid deposits. When used as an imaging agent for detecting amyloid deposits in body or tissues, the vector may be labeled with suitable optical imaging groups, radioactive isotopes or imaging groups suitable for MRI or CT detection.

Abstract: The present application relates to the molecular labeling and in vivo imaging of amyloids. Specifically, the present application relates to a polypeptide-based method/vector for targeting amyloids. Such a method/vector enables the transportation of compounds or drugs across blood-brain-barrier of an individual and then binding to amyloids in brain. Particularly, the vector of the present application can transport an imaging group linked to the vector across the blood-brain-barrier, and can binds to amyloids in brain, and thus enables the labeling and imaging of amyloid deposits. When used as an imaging agent for detecting amyloid deposits in body or tissues, the vector may be labeled with suitable optical imaging groups, radioactive isotopes or imaging groups suitable for MRI or CT detection.