CN-117244395-B - Artificial intelligence multiphase catalytic oxidation system and method

CN117244395BCN 117244395 BCN117244395 BCN 117244395BCN-117244395-B

Abstract

The present invention discloses an artificial intelligence multiphase catalytic oxidation system and method, comprising an artificial intelligence system, a multiphase catalytic oxidation reactor, and a nanorobot, gas detection device, sensor device, and gas purification device set in the multiphase catalytic oxidation reactor. The nanorobot, gas detection device, and sensor device are wirelessly connected to the artificial intelligence system, and the detection data of the gas detection device and sensor device are transmitted to the artificial intelligence system. The present invention detects the data of the spray liquid at the position through a first wireless water quality sensor and a second wireless water quality sensor, and transmits these data to the artificial intelligence system to determine whether there is deactivation of the local catalyst. When the local catalyst is deactivated, the artificial intelligence system sends a command to the control device of the nanorobot, Open the cleaning agent outlet and release the catalyst cleaning agent to achieve targeted cleaning of the catalyst and restore its catalytic ability.

Inventors

DU CHANGMING
DING JIAMIN
ZHU HUIPING
CHEN MIN
LU SHENGYONG

Assignees

浙江大学台州研究院

Dates

Publication Date: 20260508
Application Date: 20230911

Claims (7)

1. The utility model is characterized in that the system comprises an artificial intelligence system, a heterogeneous catalytic oxidation reactor, a nano robot, a gas detection device, a sensor device and a gas purification device, wherein the nano robot, the gas detection device, the sensor device and the gas purification device are arranged in the heterogeneous catalytic oxidation reactor, the nano robot, the gas detection device and the sensor device are respectively in wireless connection with the artificial intelligence system, detection data of the gas detection device and the sensor device are transmitted to the artificial intelligence system, the artificial intelligence system is used for judging whether a local catalyst is deactivated and whether an integral catalyst is deactivated, the nano robot is used for carrying out targeted cleaning on the deactivated catalyst, the heterogeneous catalytic oxidation reactor comprises an upper layer region, a middle layer region and a lower layer region, the upper layer region is provided with a gas outlet, the lower layer region is provided with a spray outlet and a gas inlet, a bearing layer is arranged between the middle layer region and the lower layer region, the sensor device comprises a first wireless water quality sensor and a second wireless water quality sensor, the first wireless water quality sensor is arranged in the nano robot, detection data of the position of the nano robot is transmitted to the artificial intelligence system, the second wireless water quality sensor is arranged in the outlet, the detection data of the spray liquid after the detection of the local catalyst is deactivated and the integral catalyst is deactivated, the nano robot is used for carrying out targeted cleaning on the deactivated catalyst, the spray data of the spray model is obtained, the data of the spray data of the artificial water quality sensor is transmitted to the artificial water quality sensor after the detection data is analyzed, and the COD data is analyzed by the intelligent model, and the COD data is analyzed by the data, and the COD data is analyzed by the COD data and the COD data is analyzed by the model.
2. The artificial intelligence heterogeneous catalytic oxidation system according to claim 1, wherein the gas purification device comprises a spraying device, an active oxygen molecule injection device and a catalyst filler, wherein the spraying device is provided with a spraying liquid, the active oxygen molecule injection device is provided with active oxygen molecules, the catalyst filler is formed by stacking a plurality of catalysts, and the spraying liquid, the active oxygen molecules, the catalysts, the catalyst and the active oxygen molecule combination products are used for purifying waste gas in a synergic mode.
3. The artificial intelligence heterogeneous catalytic oxidation system according to claim 2, wherein the spraying device is arranged in an upper region, the catalyst filler is arranged in a middle region, the active oxygen molecule injection device is arranged in a lower region, the flow direction of active oxygen molecules is the same as the movement direction of waste gas, and the flow direction of active oxygen molecules is opposite to the spraying direction of the spraying liquid.
4. The system of claim 3, wherein the first wireless water quality sensor and the second wireless water quality sensor are an aggregate of a plurality of sensors, each comprising a turbidity sensor, an oxidation-reduction potential sensor, a conductivity sensor, a temperature sensor and a position sensor.
5. The artificial intelligence multiphase catalytic oxidation method is characterized by comprising the following steps: step 1, detecting liquid data of the position of the nano robot by a first wireless water quality sensor, transmitting the liquid data to an artificial intelligence system, and obtaining COD (chemical oxygen demand) of the detected liquid, which is recorded as COD 1-X ; step 2, detecting liquid data of the spray liquid after purifying the waste gas by a second wireless water quality sensor, and transmitting the liquid data to an artificial intelligence system to obtain COD (chemical oxygen demand) of the detected liquid, which is recorded as COD 2 ; step 3, screening the COD 1-X located in the catalyst packing region of step 1, denoted as (COD 1-X ) | ; Step 4, judging (whether COD 1-X ) | is larger than COD 2 of the set multiple a, if so, judging that the catalyst at the position of the current X-sequence number nano robot is deactivated, executing step 5, and if not, executing step 6; step 5, the artificial intelligence system outputs a catalyst deactivation command to the current X-sequence number nano-robot, a control device of the current X-sequence number nano-robot controls a telescopic device to be unfolded, the nano-robot is fixed at the position of the deactivated catalyst, a control device controls a cleaning agent outlet to be opened, a cleaning agent is released, and the deactivated catalyst is subjected to targeted cleaning; Step 6, detecting the concentration of VOCs in the purified gas by a first wireless VOCs sensor, detecting the concentration of VOCs in the waste gas before purification by a second wireless VOCs sensor, and transmitting the detected VOCs concentration data to an artificial intelligence system; Step 7, the artificial intelligence system calculates the removal rate of the VOCs in the waste gas, judges whether the integral catalyst is deactivated, if so, executes the step 8, and if not, repeatedly executes the step 1; Step 8, the artificial intelligence system outputs a catalyst deactivation command to all the nano robots, a control device of all the nano robots controls the expansion device to expand, the nano robots are fixed on the surrounding catalysts, a cleaning agent outlet is controlled to be opened, the cleaning agent is released, all the catalysts are cleaned, and the detected removal rate of the VOCs in the waste gas reaches a threshold value; Step 9, the first magnetic device and the second magnetic device absorb and collect the nano robots, the collected nano robots are filled with cleaning agents and then put into the heterogeneous catalytic oxidation reactor again, and the cleaning agents are redistributed into the catalyst filler under the action of the spraying liquid and the active oxygen molecular gas, And step 10, ending the step.
6. The method for heterogeneous catalytic oxidation of artificial intelligence according to claim 5, wherein the step 1 of obtaining COD 1-X by the artificial intelligence system is characterized in that the artificial intelligence system establishes a COD analysis model by using historical data detected by the sensor device and trains and adjusts the COD analysis model, liquid data detected by the first wireless water quality sensor is transmitted to the COD analysis model to obtain detected liquid COD, the detected liquid COD is recorded as COD 1-X , X=1.2.
7. The method for heterogeneous catalytic oxidation according to claim 5, wherein the step 3 of screening COD 1-X in the catalyst packing region comprises the following steps: Step 3.1, extracting position data detected by a first wireless water quality sensor, and marking the position data as P 1-X ; Step 3.2, setting the position of the area where the catalyst filler is positioned as P 0 ; Step 3.3, traversing P 1-X , screening the position data within which is no greater than P 0 , and noting as (P 1-X ) | ; step 3.4, obtain (COD 1-X ) | ) corresponding to (P 1-X ) | .

Description

Artificial intelligence multiphase catalytic oxidation system and method Technical Field The invention belongs to the field of organic waste gas treatment, and relates to an artificial intelligence multiphase catalytic oxidation system and method. Background The heterogeneous catalytic oxidation technology has a plurality of degradation paths for pollutants of the organic waste gas, is a preferred technology for treating the organic waste gas, and the degradation paths of the heterogeneous catalytic oxidation technology for the pollutants comprise spray liquid absorption, catalytic oxidation of a catalyst, synergistic action of active oxygen molecules and the catalyst and the like. The core of this technology is to decompose the oxidizing agent by the catalytic action of a solid phase catalyst to generate hydroxyl radicals (OH) with strong oxidizing property, so that the oxidative degradation of the contaminants dissolved in the liquid phase and in the gas phase is more rapid and thorough. In addition, the solid phase catalyst is easier to recover than the conventional homogeneous catalyst, and is suitable for continuous operation. However, the catalyst activity of the catalyst in the prior heterogeneous catalytic oxidation technology is reduced in the use process. In the process of fully contacting the pollutant with the catalyst, impurities in the pollutant can cause the blockage of the original loose and porous catalyst, so that the effective catalytic area of the catalyst is reduced, and the untimely cleaning of the substances seriously affects the catalytic effect of the catalyst. In addition, byproducts generated during the reaction process are combined with the catalyst, which may cause loss of the active sites of the catalyst, thereby affecting the removal rate of contaminants by the heterogeneous catalytic oxidation technology. The traditional catalyst regeneration technology generally carries out off-line cleaning of the catalyst when the pollutant removal rate reaches a limit level after the catalyst is used for a period of time, has complex operation and delay, and cannot fully exert the potential of the heterogeneous catalytic oxidation technology. Disclosure of Invention The invention provides an artificial intelligence multiphase catalytic oxidation system and method for overcoming the defects in the prior art. In order to achieve the aim, the technical scheme is that the artificial intelligence multiphase catalytic oxidation system comprises an artificial intelligence system, a multiphase catalytic oxidation reactor, a nano robot, a gas detection device, a sensor device and a gas purification device, wherein the nano robot, the gas detection device, the sensor device and the gas purification device are arranged in the multiphase catalytic oxidation reactor, the nano robot, the gas detection device and the sensor device are respectively and wirelessly connected with the artificial intelligence system, detection data of the gas detection device and the sensor device are transmitted to the artificial intelligence system, the artificial intelligence system is used for judging whether a local catalyst is deactivated or not and whether an integral catalyst is deactivated or not, and the nano robot is used for targeted cleaning of the deactivated catalyst. Further, the gas purification device comprises a spraying device, an active oxygen molecule injection device and a catalyst filler, wherein the spraying device is provided with a spraying liquid, the active oxygen molecule injection device is provided with active oxygen molecules, the catalyst filler is formed by stacking a plurality of catalysts, and the spraying liquid, the active oxygen molecules, the catalysts and the active oxygen molecule combined products are cooperated to purify waste gas. Further, the heterogeneous catalytic oxidation reactor comprises an upper layer region, a middle layer region and a lower layer region, wherein the upper layer region is provided with a gas outlet, the lower layer region is provided with a spray outlet and a gas inlet, and a bearing layer is arranged between the middle layer region and the lower layer region. Further, the spraying device is arranged in the upper layer area, the catalyst filler is arranged in the middle layer area, the active oxygen molecule injection device is arranged in the lower layer area, the flowing direction of active oxygen molecules is the same as the moving direction of waste gas, and the flowing direction of active oxygen molecules is opposite to the spraying direction of the spraying liquid. Further, the sensor device comprises a first wireless water quality sensor and a second wireless water quality sensor, the first wireless water quality sensor is arranged on the nano robot and used for detecting liquid data of the position of the nano robot, the second wireless water quality sensor is arranged on the spraying outlet and used for detecting spraying liquid data after purif