33results about How to "Avoid resource loss" patented technology

The invention discloses an inorganic-ammonium-salt-containing wastewater treatment system and a recycling method thereof. The recycling method of the inorganic-ammonium-salt-containing wastewater treatment system comprises the following steps: (1) salt-containing wastewater to be treated passes through a grid to intercept large suspended substances; (2) the wastewater subjected to grid treatment enters a buffer pool; (3) a supernate of the buffer pool overflows to a regulating kettle; (4) the effluent water enters a filter; (5) the effluent water enters a buffer tank; (6) the effluent water of the buffer tank enters a preheater so as to be heated, and the heated salt-containing wastewater enters a tube side of an MVR (mechanical vapor recompression) evaporator; (7) cryocondensation effluent water enters a regulating tank; (8) the effluent water in the regulating tank enters an ammonia nitrogen removal system; (9) the effluent water of a Fenton oxidation pool enters a flocculating settling pool; (10) a supernate of the flocculating settling pool is discharged into a middle regulating pool; and (11) the effluent water of the middle regulating pool enters an SBR (sequencing batch reactor) pool. The method has the advantages of simple pretreatment, low solid waste output and favorable sewage purification effect, and can be used for efficiently recycling ammonium salts in the wastewater.

In order to recover the resources (cleaning agent, heat) contained in the cleaning agent vapors suctioned off a cleaning system for cleaning industrially produced components, it is proposed to guide the suctioned-off waste air ({dot over (V)}ab) in a recovery device (5) through a heat register (9) of a refrigeration device (6) and thereby to heat it substantially to the temperature of the waste air ({dot over (V)}ab), and to supply the waste air ({dot over (V)}ab) heated and dried in this manner to the cleaning chamber (2) in the region of a bulkhead door (16) as preheated dried supply air ({dot over (V)}zu).

The invention relates to the field of rare earth product producing apparatuses and especially relates to a washing system of rare earth oxalate precipitations. The system includes a rare earth oxalate reaction kettle and a precipitation washing apparatus. The reaction kettle is arranged above the precipitation washing apparatus and is connected to the precipitation washing apparatus through a pipeline. The precipitation washing apparatus comprises a filtering barrel, a vacuumizing apparatus and a water collecting barrel. A water discharge pipe and a gas discharge pipe are disposed on a lower part of the filtering barrel and the other end of the filtering barrel is connected respectively to the water collecting barrel and the vacuumizing apparatus. In the system, the precipitations are washed and filtered in the self-made filtering barrel and the washing process is divided into a plurality of steps, wherein water, except in a first washing step, in the other steps are all collected for washing the follow-up precipitation while the water in the first washing step is discharged out, so that utilization rate of water resource can be greatly increased and waste water discharge is reduced. By means of a vacuumizing process after the washing process, moisture in the precipitations can be effectively removed for reducing volume of the rare earth oxalate precipitations, so that a subsequent burning time can be shortened, energy required in burning is saved, a production period of a rare earth oxide is shortened and a production cost is reduced.

The embodiment of this specification discloses a method, device, and equipment for identifying abnormal transaction behaviors. The method includes: acquiring an abnormal identification model, wherein the abnormal identification model is based on the user identification of at least one user and the user ID of the at least one user. The identification of the transaction object in the historical transaction data is established. The abnormal recognition model is used to calculate the topic distribution vector in the user transaction. Then, the abnormal recognition model can be used to calculate the topic distribution vector corresponding to the transaction to be recognized. According to the Describe the topic distribution vector corresponding to the transaction to be identified, and identify the abnormality of the transaction to be identified.