4results about How to "Guaranteed maintainability" patented technology

This utility model relates to the field of online analyzer technology and discloses a back pressure balancing system for an FTA analyzer, including an FTA analyzer, a back pressure balancing system, and a flare. The FTA analyzer is connected to the back pressure balancing system via an outlet pipe. One end of a return manifold is connected to the outlet pipe, and the other end is connected to the flare. A pneumatic pump is installed on the return manifold. A differential pressure flow meter is installed on the return manifold between the FTA analyzer and the pneumatic pump, with its other end connected to the return manifold between the FTA analyzer and the differential pressure flow meter, and the other end connected to the pneumatic pump. The control system is connected to the drive gas pipeline and the differential pressure flow meter. This utility model can reduce the pressure of the high-pressure gas discharged from the FTA analyzer, maintaining the discharged gas within a normal pressure range, enabling stable discharge of high-pressure gas. It solves the problem of high and fluctuating pipeline pressure preventing the discharge of exhaust gas after instrument analysis, improving system reliability and ensuring the long-term stability and maintainability of the system.

The utility model relates to a kind of heat transfer copper pipes, comprising: heat conduction copper pipe, heat conduction copper pipe is provided with guide copper block, guide copper block is used to guide medium, heat conduction copper pipe is fixedly connected with the interface seat, the interface seat is along heat conduction copper pipe length direction setting, interface seat is slidably connected with heat conduction block, heat conduction block is provided with fixing piece, the fixing piece one end penetrates heat conduction copper pipe and is connected with heat conduction block, fixing piece can fix heat conduction block and guide copper block on heat conduction copper pipe, whole system is directly conducted through intermetallic, expands heat dissipation area and optimizes fluid path Three mechanical synergies, while maintaining maintainability, improve overall heat exchange efficiency.

The present application relates to the technical field of online car-hailing risk control, and particularly relates to a method for implementing an online car-hailing pick-up and drop-off abnormality risk control dynamic rule engine based on flink CEP. In the online car-hailing service, after a passenger issues an order on a mobile phone, the driver is affected by external environmental factors, vehicle condition factors, other human factors and complex environments during the process of picking up and dropping off the passenger, which may result in a variety of abnormal situations such as pick-up timeout, driver driving in the opposite direction, driver not moving and the like. A related risk control system is established in each service system. The present application uses mysql to dynamically load rules to ensure the dynamic scalability of the rules, and uses flink CEP to calculate the rules to ensure the timeliness and accuracy of the calculation results. The overall scheme supports the timeliness and dynamic scalability requirements of abnormal indicators in the risk control system under the premise of not stopping service when the rules are changed.

The application discloses a kind of dependency lookup method, system, equipment and storage medium, it is related to computer technical field, comprising: the target annotation is defined, so that the target annotation can declare each method in warehouse interface;When application starts, the warehouse interface is scanned by Spring Data JPA, obtains corresponding scanning result, according to the scanning result, whether the method in the warehouse interface is declared by the target annotation;If declared by the target annotation, information is sent to the Spring Data JPA notification, and according to the return type of the method in the warehouse interface and the name declared in the target annotation, corresponding registered Bean object is obtained from Spring container, and the Bean object is returned, to complete dependency lookup.Therefore, the application can more flexibly realize dependency lookup.