CN114323144B - In-situ thermal desorption engineering operation monitoring method, device and system - Google Patents
In-situ thermal desorption engineering operation monitoring method, device and system Download PDFInfo
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Abstract
The embodiment of the invention provides an in-situ thermal desorption engineering operation monitoring method, device and system, wherein the device comprises the following steps: the heating unit monitoring module is used for acquiring first monitoring data of the heating unit, the extraction unit monitoring module is used for acquiring second monitoring data of the extraction unit, the waste treatment unit monitoring module is used for acquiring third monitoring data of the waste treatment unit, the data integration module is used for carrying out classified integration based on the first monitoring data, the second monitoring data and the third monitoring data, and the data analysis module is used for carrying out analysis processing based on the temperature integration data, the pressure integration data and the concentration integration data to obtain analysis processing results. The obtained data of each unit is integrated and analyzed, so that various data can be comprehensively detected, and the response is fast, thereby providing a guarantee for long-term effective operation and data accumulation of in-situ thermal desorption engineering, reducing personnel for on-site operation and maintenance, and saving labor cost.
Description
Technical Field
The invention relates to the technical field of in-situ thermal desorption, in particular to an in-situ thermal desorption engineering operation monitoring method, device and system.
Background
The in-situ thermal desorption (ISTD) technology is to input heat energy into the underground, heat the soil and the underground water, change the saturated vapor pressure and the solubility of target pollutants, promote the volatilization or the dissolution of the pollutants, and realize the treatment process of removing the target pollutants through soil gas extraction or multiphase extraction, including heat conduction heating, resistance heating, steam enhanced extraction and the like.
In order to ensure stable and reliable operation of the ISTD engineering, process units, environmental parameters and the like related to the ISTD engineering are required to be monitored in real time, operation process control parameters of the system are recorded, operation faults are found in time, necessary correction operations are adopted, and operation accidents are avoided. At present, the actual monitoring index of ISTD engineering is single, and most of the actual monitoring indexes are underground temperature and pressure indexes; most of the acquired data are manually participated in processing, and lack of functions of automatic analysis, processing and feedback, so that the operation faults are difficult to discover in time and corresponding solutions are made, and the function of monitoring the data is not fully exerted.
Disclosure of Invention
Therefore, the technical problem to be solved by the invention is to overcome the defects of single monitoring index and lack of automatic analysis, processing and feedback functions in the prior art, thereby providing an in-situ thermal desorption engineering operation monitoring method, device and system.
According to a first aspect, the present invention provides an in-situ thermal desorption engineering operation monitoring device, comprising: the heating unit monitoring module is used for acquiring first monitoring data of the heating unit, wherein the first monitoring data comprises: heating temperature data, heating pressure data, heat conduction data, and resistance heating data; the extraction unit monitoring module is used for acquiring second monitoring data of the extraction unit, wherein the second monitoring data comprises: extracting temperature data, extracting pressure data and first concentration data of target pollutants; the waste treatment unit monitoring module is used for obtaining third monitoring data of the waste treatment unit, and the third monitoring data comprises: waste treatment temperature data, waste treatment pressure data, waste treatment concentration data, and second concentration data for the target contaminant; the data integration module is used for performing classified integration based on the first monitoring data, the second monitoring data and the third monitoring data, integrating the heating temperature data, the extraction temperature data and the waste treatment temperature data to obtain temperature integration data, integrating the heating pressure data, the extraction pressure data and the waste treatment pressure data to obtain pressure integration data, and integrating the first concentration data of the target pollutant, the waste treatment concentration data and the second concentration data of the target pollutant into concentration integration data; and the data analysis module is used for carrying out analysis processing based on the temperature integration data, the pressure integration data and the concentration integration data to obtain an analysis processing result.
Optionally, the data analysis module includes: the data analysis sub-module is used for extracting data to be analyzed corresponding to a temperature preset threshold value, a pressure preset threshold value and a concentration preset threshold value based on the temperature integrated data, the pressure integrated data and the concentration integrated data, and acquiring early warning information based on the data to be analyzed and the preset data threshold value; and the information transmission module is used for sending the early warning information to the terminal.
Optionally, the first monitoring data further includes: heat conduction data and resistance heating data, the data integration module further includes: and the reference data integration sub-module is used for integrating the heat conduction data and the resistance heating data into reference data.
Optionally, the data analysis module is further configured to establish a reference data set based on the reference data; judging whether to perform early warning prompt or not based on the first monitoring data, the second monitoring data, the third monitoring data and the reference data set, and if the first monitoring data, the second monitoring data and the third monitoring data are not in the range of the reference set, sending early warning prompt; and if the first monitoring data, the second monitoring data and the third monitoring data are in the range of the reference set, sending corresponding monitoring data.
Optionally, the in-situ thermal desorption engineering operation monitoring device further comprises: and the battery management module is used for acquiring the power consumption of the heating unit monitoring module, the extraction unit monitoring module, the waste processing unit monitoring module, the data integration module and the data analysis module and identifying the working states of the heating unit monitoring module, the extraction unit monitoring module, the waste processing unit monitoring module, the data integration module and the data analysis module based on the power consumption.
According to a second aspect, an embodiment of the present invention provides an in-situ thermal desorption engineering operation monitoring system, including: the sensor terminal, the upper computer system and the in-situ thermal desorption engineering operation monitoring device according to any one of the embodiments, wherein the sensor terminal comprises: the heating unit monitoring terminal is arranged in the heating unit and is used for acquiring the first monitoring data of the heating unit; the extraction unit monitoring terminal is arranged in the extraction unit and is used for collecting the second monitoring data of the extraction unit; the waste treatment unit monitoring terminal is arranged in the waste treatment unit and is used for acquiring the third monitoring data of the waste treatment unit; the in-situ thermal desorption engineering operation monitoring device is used for obtaining analysis processing results based on the first monitoring data, the second monitoring data and the third monitoring data and sending the analysis processing results; the upper computer system is used for obtaining the analysis processing result and visually displaying the analysis result.
According to a third aspect, an embodiment of the present invention provides an in-situ thermal desorption engineering operation monitoring method, including: acquiring first monitoring data of the heating unit, the first monitoring data comprising: heating temperature data, heating pressure data, heat conduction data, and resistance heating data; obtaining second monitoring data of the extraction unit, the second monitoring data comprising: extracting temperature data, extracting pressure data and first concentration data of target pollutants; obtaining third monitoring data of the waste treatment unit, the third monitoring data comprising: waste treatment temperature data, waste treatment pressure data, waste treatment concentration data, and second concentration data for the target contaminant; classifying and integrating the heating temperature data, the extraction temperature data and the waste treatment temperature data based on the first monitoring data, the second monitoring data and the third monitoring data to obtain temperature integration data, integrating the heating pressure data, the extraction pressure data and the waste treatment pressure data to obtain pressure integration data, and integrating the first concentration data of the target pollutant, the waste treatment concentration data and the second concentration data of the target pollutant into concentration integration data; and analyzing and processing based on the temperature integrated data, the pressure integrated data and the concentration integrated data to obtain an analysis and processing result.
Optionally, the analyzing based on the temperature integrated data, the pressure integrated data and the concentration integrated data to obtain an analysis result includes: extracting data to be analyzed corresponding to a temperature preset threshold value, a pressure preset threshold value and a concentration preset threshold value based on the temperature integrated data, the pressure integrated data and the concentration integrated data, and acquiring early warning information based on the data to be analyzed and the preset data threshold value; and sending the early warning information to a terminal.
Optionally, the classifying integrating based on the first monitoring data includes: the first monitoring data further includes: heat conduction data and resistance heating data; the heat conduction data and the resistance heating data are integrated into reference data.
Optionally, the analyzing based on the temperature integrated data, the pressure integrated data and the concentration integrated data to obtain an analysis result includes: the reference data establishes a reference data set; judging whether to perform early warning prompt or not based on the first monitoring data, the second monitoring data, the third monitoring data and the reference data set, and if the first monitoring data, the second monitoring data and the third monitoring data are not in the range of the reference set, sending early warning prompt; and if the first monitoring data, the second monitoring data and the third monitoring data are in the range of the reference set, sending corresponding monitoring data.
Optionally, the in-situ thermal desorption engineering operation monitoring method further comprises: and acquiring the power consumption of the heating unit monitoring module, the extraction unit monitoring module, the waste processing unit monitoring module, the data integration module and the data analysis module, and identifying the working states of the heating unit monitoring module, the extraction unit monitoring module, the waste processing unit monitoring module, the data integration module and the data analysis module based on the power consumption.
According to a fourth aspect, an embodiment of the present invention provides a computer apparatus, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to perform the in situ thermal desorption engineering operation monitoring method of any one of the third aspects.
According to a fifth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions for causing the computer to execute the in-situ thermal desorption engineering operation monitoring method according to any one of the third aspects.
The technical scheme of the invention has the following advantages:
the embodiment of the invention provides an in-situ thermal desorption engineering operation monitoring device which comprises a heating unit monitoring module, an extraction unit monitoring module, a waste treatment unit monitoring module, a data integration module and a data analysis module, wherein first monitoring data of the heating unit, second monitoring data of the extraction unit and third monitoring data of the waste treatment unit are obtained, classified integration is carried out based on the first monitoring data, the second monitoring data and the third monitoring data, temperature data in the first monitoring data, the second monitoring data and the third monitoring data are integrated to obtain temperature integration data, pressure data in the first monitoring data, the second monitoring data and the third monitoring data are integrated to obtain pressure integration data, concentration data in the second monitoring data and the third monitoring data are integrated to obtain concentration integration data, analysis processing is carried out on the temperature integration data, the pressure integration data and the concentration integration data, and analysis processing results are obtained. According to the embodiment of the invention, the obtained temperature data, pressure data and concentration data of each unit are integrated and analyzed, so that various data generated in the whole working process of the in-situ thermal desorption engineering can be comprehensively detected, the various data can be timely distinguished, the response is quick, personnel for on-site operation and maintenance are reduced, the labor cost is saved, the data acquisition is more convenient, the problems in the running process of the in-situ thermal desorption engineering can be timely found out, and the response provides a guarantee for long-term effective running and data accumulation of the in-situ thermal desorption engineering.
The embodiment of the invention provides an in-situ thermal desorption engineering operation monitoring system, which comprises the following components: sensor terminal, host computer system and normal position thermal desorption engineering operation monitoring devices of above-mentioned embodiment, wherein, the sensor terminal includes: the system comprises a heating unit monitoring terminal, an extraction unit monitoring terminal and a waste treatment unit monitoring terminal, wherein the heating unit monitoring terminal is arranged in the heating unit and used for acquiring the first monitoring data of the heating unit; the extraction unit monitoring terminal is arranged in the extraction unit and is used for collecting the second monitoring data of the extraction unit; the waste treatment unit monitoring terminal is arranged in the waste treatment unit and is used for acquiring the third monitoring data of the waste treatment unit; the in-situ thermal desorption engineering operation monitoring device is used for obtaining analysis processing results based on the first monitoring data, the second monitoring data and the third monitoring data and sending the analysis processing results; the upper computer system is used for obtaining the analysis processing result and visually displaying the analysis result. According to the embodiment of the invention, the sensor terminal, the upper computer system and the in-situ thermal desorption engineering operation monitoring device are integrated by constructing the in-situ thermal desorption engineering operation monitoring system, so that personnel for in-situ operation and maintenance are reduced, the labor cost is saved, the data acquisition is more convenient, and meanwhile, the problems in the in-situ thermal desorption engineering operation process are found in time and responded, so that the guarantee is provided for long-term effective operation and data accumulation of the in-situ thermal desorption engineering.
The in-situ thermal desorption engineering operation monitoring method provided by the embodiment of the invention comprises the following steps: acquiring first monitoring data of a heating unit, second monitoring data of an extraction unit and third monitoring data of a waste treatment unit, classifying and integrating the first monitoring data, the second monitoring data and the third monitoring data based on the first monitoring data, the second monitoring data and the third monitoring data, integrating temperature data in the first monitoring data, the second monitoring data and the third monitoring data to obtain temperature integrated data, integrating pressure data in the first monitoring data, the second monitoring data and the third monitoring data to obtain pressure integrated data, integrating concentration data in the second monitoring data and the third monitoring data to obtain concentration integrated data, and analyzing and processing the temperature integrated data, the pressure integrated data and the concentration integrated data to obtain analysis and processing results. According to the embodiment of the invention, the obtained temperature data, pressure data and concentration data of each unit are integrated and analyzed, so that various data generated in the whole working process of the in-situ thermal desorption engineering can be comprehensively detected, the various data can be timely distinguished, the response is quick, personnel for on-site operation and maintenance are reduced, the labor cost is saved, the data acquisition is more convenient, the problems in the running process of the in-situ thermal desorption engineering can be timely found out, and the response provides a guarantee for long-term effective running and data accumulation of the in-situ thermal desorption engineering.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIGS. 1-4 are flowcharts illustrating specific examples of in-situ thermal desorption engineering operation monitoring methods in accordance with embodiments of the present invention;
FIG. 5 is a diagram showing an example of the structure of an in-situ thermal desorption engineering operation monitoring system in an embodiment of the present invention;
FIG. 6 is an exemplary diagram of an upper computer platform of an in-situ thermal desorption engineering operation monitoring system in accordance with an embodiment of the present invention;
FIG. 7 is a diagram illustrating a virtual model in an in-situ thermal desorption engineering operation monitoring method in accordance with an embodiment of the present invention;
FIGS. 8-11 are schematic block diagrams of specific examples of in-situ thermal desorption engineering operation monitoring devices in accordance with embodiments of the present invention;
fig. 12 is a functional block diagram of a computer device provided in an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made apparent and fully in view of the accompanying drawings, in which some, but not all embodiments of the invention are shown. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; the two components can be directly connected or indirectly connected through an intermediate medium, or can be communicated inside the two components, or can be connected wirelessly or in a wired way. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
In addition, the technical features of the different embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
Example 1
The invention collects the data information of each working unit in the in-situ thermal desorption engineering and performs analysis and early warning based on the data information. In practical application, the in-situ thermal desorption engineering includes, but is not limited to, a heating unit, an extraction unit, and a waste water and gas treatment unit, and the following embodiments are preferred embodiments, but the invention is not limited thereto.
Fig. 1 shows an in-situ thermal desorption engineering operation monitoring method according to an embodiment of the present invention, including the following steps:
step S10: acquiring first monitoring data of the heating unit, the first monitoring data comprising: heating temperature data, heating pressure data, heat conduction data, and resistance heating data.
Specifically, the temperature acquisition equipment is used for acquiring heating temperature data, heat conduction data and resistance heating data of the heating unit, and the pressure monitoring device is used for monitoring the pressure value of the heating unit.
For example, the optical fiber distributed temperature sensor is used to acquire heating temperature data, heat conduction data and resistance heating data, and the temperature acquisition device of the heating unit can be installed in a heating well or between heating wells. In practical application, the setting interval of the monitoring points in the longitudinal direction should ensure that 3-10 monitoring points exist on each point, and the number of the temperature acquisition devices should be capable of meeting the requirements of repairing the underground soil layer property and type of the land.
The pressure monitoring device may be installed, for example, in the wellhead or well casing of the heating well, the extraction well, or between the heating well and the extraction well. In practical application, the pressure monitoring device is arranged at a high-temperature high-pressure point, a low-temperature low-pressure point and the like in the heating area to set pressure monitoring points.
Step S20: obtaining second monitoring data of the extraction unit, the second monitoring data comprising: extraction temperature data, extraction pressure data, and first concentration data of the target contaminant.
Specifically, the temperature acquisition equipment is used for acquiring extraction temperature data of the extraction unit, the pressure monitoring device is used for monitoring the pressure value of the extraction unit, and the pollutant concentration monitoring device is used for acquiring first concentration data of target pollutants. In practical application, for example, a temperature acquisition device, a pressure monitoring device and a target pollutant concentration monitoring device can be additionally arranged at the wellhead of the extraction well.
Step S30: obtaining third monitoring data of the waste treatment unit, the third monitoring data comprising: waste treatment temperature data, waste treatment pressure data, waste treatment concentration data, and second concentration data for the target contaminant.
Specifically, the temperature data of the waste treatment unit is collected by using the temperature collection device, the pressure value during waste treatment is monitored by using the pressure monitoring device, and the second concentration data of the target pollutant is collected by using the pollutant concentration monitoring device.
Step S40: and based on the first monitoring data, the second monitoring data and the third monitoring data, integrating the heating temperature data, the extraction temperature data and the waste treatment temperature data to obtain temperature integration data, integrating the heating pressure data, the extraction pressure data and the waste treatment pressure data to obtain pressure integration data, and integrating the first concentration data of the target pollutant, the waste treatment concentration data and the second concentration data of the target pollutant into concentration integration data.
The first monitoring data, the second monitoring data and the third monitoring data are transmitted to a micro-electronic control unit (MCU) by using GPRS, the classified integration of the first monitoring data, the second monitoring data and the third monitoring data is realized by using the micro-electronic control unit (MCU), the heating temperature data, the extraction temperature data and the waste treatment temperature data are integrated to obtain temperature integration data, the heating pressure data, the extraction pressure data and the waste treatment pressure data are integrated to obtain pressure integration data, and the first concentration data of the target pollutant, the waste treatment concentration data and the second concentration data of the target pollutant are integrated to form concentration integration data. UART communication interfaces are used between GPRS and MCU.
Step S50: and analyzing and processing based on the temperature integrated data, the pressure integrated data and the concentration integrated data to obtain an analysis and processing result.
Specifically, comprehensive analysis processing is performed based on the temperature integrated data and preset temperature thresholds of the corresponding heating unit, extraction unit and wastewater and exhaust gas treatment unit to obtain a temperature analysis result, comprehensive analysis processing is performed based on the pressure integrated data and preset pressure thresholds of the corresponding heating unit, extraction unit and wastewater and exhaust gas treatment unit to obtain a pressure analysis result, comprehensive analysis processing is performed based on the concentration integrated data and preset concentration thresholds of the corresponding extraction unit and wastewater and exhaust gas treatment unit to obtain a concentration analysis result, and analysis results are obtained based on the temperature analysis result, the pressure analysis result and the concentration analysis result.
In the embodiment of the invention, the first monitoring data of the heating unit, the second monitoring data of the extraction unit and the third monitoring data of the waste treatment unit are acquired, classified integration is performed based on the first monitoring data, the second monitoring data and the third monitoring data, the temperature data in the first monitoring data, the second monitoring data and the third monitoring data are integrated to obtain temperature integration data, the pressure data in the first monitoring data, the second monitoring data and the third monitoring data are integrated to obtain pressure integration data, the concentration data in the second monitoring data and the third monitoring data are integrated to obtain concentration integration data, and analysis processing is performed on the temperature integration data, the pressure integration data and the concentration integration data to obtain analysis processing results. According to the embodiment of the invention, the obtained temperature data, pressure data and concentration data of each unit are integrated and analyzed, so that various data generated in the whole working process of the in-situ thermal desorption engineering can be comprehensively detected, the various data can be timely distinguished, the response is quick, personnel for on-site operation and maintenance are reduced, the labor cost is saved, the data acquisition is more convenient, the problems in the running process of the in-situ thermal desorption engineering can be timely found out, and the response provides a guarantee for long-term effective running and data accumulation of the in-situ thermal desorption engineering.
In an alternative embodiment of the present invention, as shown in fig. 2, the analyzing processing based on the temperature integrated data, the pressure integrated data and the concentration integrated data in the step S50 to obtain an analysis processing result includes the following steps:
step S51: extracting data to be analyzed corresponding to a temperature preset threshold value, a pressure preset threshold value and a concentration preset threshold value based on the temperature integrated data, the pressure integrated data and the concentration integrated data, and acquiring early warning information based on the data to be analyzed and the preset data threshold value;
step S52: and sending the early warning information to a terminal.
Specifically, temperature to-be-analyzed data of the heating unit, temperature to-be-analyzed data of the extraction unit and temperature to-be-analyzed data of the waste water and waste gas unit are extracted based on temperature integration data, pressure to-be-analyzed data of the heating unit, pressure to-be-analyzed data of the extraction unit and pressure to-be-analyzed data of the waste water and waste gas unit are extracted based on pressure integration data, concentration to-be-analyzed data of the extraction unit and concentration to-be-analyzed data of the waste water and waste gas unit are extracted based on concentration integration data, analysis is carried out according to the to-be-analyzed data and corresponding preset thresholds, whether the to-be-analyzed data is in the range of the preset thresholds is judged, early warning reminding of corresponding working units is carried out according to judgment results, and the early warning reminding is sent to a terminal. In practical application, the setting of the temperature preset threshold value may be, for example, a gas heat conduction index and a steam heating index, where the gas heat conduction index is a gas/fuel flow, a pipeline pressure at an inlet of a burner, a gas outlet temperature of the burner, a carbon monoxide content (real-time online monitoring, ensuring sufficient combustion), etc., the setting of the pressure preset threshold value may be, for example, a general range of underground pressure of a heating zone, and the setting of the concentration preset threshold value may be, for example, a concentration average value of waste water and waste gas generated in a working process for a long time through in-situ thermal desorption engineering.
In the embodiment of the invention, the data of the corresponding working unit in each integrated data is subjected to corresponding analysis processing, so that an analysis result can be obtained more accurately, corresponding early warning information is sent out, the warning efficiency is improved, meanwhile, an accurate early warning information position can be provided for a worker, a guarantee is provided for the repair work of the subsequent in-situ thermal desorption engineering, and further, a theoretical premise is provided for evaluating the repair effect of the in-situ thermal desorption engineering.
In an alternative embodiment of the present invention, as shown in fig. 3, the step S40 performs classification integration based on the first monitoring data, where the first monitoring data further includes: heat conduction data and resistance heating data; the method comprises the following steps:
step S41: the heat conduction data and the resistance heating data are integrated into reference data.
The heat conduction data are exemplified by the temperature of a heating rod and the electric heating temperature in the in-situ thermal desorption engineering, the resistance heating data are exemplified by the heating current, the formation resistivity and the temperature generated by the ground surface voltage of a heating zone in the in-situ thermal desorption engineering, and the heat conduction data and the resistance heating data are integrated into reference data.
In the embodiment of the invention, the temperature data in the in-situ thermal desorption engineering can be monitored more comprehensively by acquiring the heat conduction data and the resistance heating data, and further, the position where the engineering temperature does not accord with the preset threshold value can be positioned more accurately in the subsequent temperature adjusting process, so that the heating effect is ensured to accord with the design requirement.
In an optional embodiment of the present invention, the analyzing processing based on the temperature integrated data, the pressure integrated data and the concentration integrated data in the step S50 to obtain an analysis processing result includes the following steps:
(1): the reference data establishes a reference data set;
(2): judging whether to perform early warning prompt or not based on the first monitoring data, the second monitoring data, the third monitoring data and the reference data set, and if the first monitoring data, the second monitoring data and the third monitoring data are not in the range of the reference set, sending early warning prompt;
(3) And if the first monitoring data, the second monitoring data and the third monitoring data are in the range of the reference set, sending corresponding monitoring data.
Specifically, a reference data set is established according to the reference data, the safe working range of each working unit in the operation process of the in-situ thermal desorption engineering is determined, the collected first monitoring data, second monitoring data and third monitoring data are compared with the reference data set by a machine learning method, if the first monitoring data, the second monitoring data and the third monitoring data are in the range of the reference data set, the corresponding working units do not need to be adjusted, corresponding data information is sent to a terminal, and if the first monitoring data, the second monitoring data and the third monitoring data are not in the range of the reference data set, the data of the corresponding working units of the first monitoring data, the second monitoring data and the third monitoring data are not in the range of the reference data set are obtained, and early warning reminding is carried out, and the early warning information is sent to the terminal. In practical application, the concentration early warning of the second monitoring data and the third monitoring data is based on restoration to a target concentration, and the target concentration can be, for example, a concentration data average value generated in the running process of the long-term in-situ thermal desorption engineering.
In the embodiment of the invention, the acquired data is compared with the reference data by establishing the reference data, so that whether the acquired data meets the engineering standard can be accurately judged, and the corresponding data can be adjusted based on the reference data, thereby improving the working efficiency.
In an alternative embodiment of the present invention, as shown in fig. 4, the thermal desorption engineering operation monitoring method further includes the following steps:
step S60: and acquiring the power consumption of the heating unit monitoring module, the extraction unit monitoring module, the waste processing unit monitoring module, the data integration module and the data analysis module, and identifying the working states of the heating unit monitoring module, the extraction unit monitoring module, the waste processing unit monitoring module, the data integration module and the data analysis module based on the power consumption.
The battery management unit is constructed, the power consumption of the heating unit monitoring module, the extraction unit monitoring module, the waste processing unit monitoring module, the data integration module and the data analysis module is obtained through the battery management unit, the power consumption of the corresponding working unit is adjusted in real time based on the power consumption, and the working states of the heating unit monitoring module, the extraction unit monitoring module, the waste processing unit monitoring module, the data integration module and the data analysis module are identified based on the values of the power consumption.
In the embodiment of the invention, the power consumption of each working unit is controlled by constructing the battery management unit, so that the cruising ability of the battery is improved, and the working state of each working unit can be identified according to the power consumption of each working unit, so that the running condition of each working unit is adjusted in real time.
Example 2
An embodiment of the present invention provides an in-situ thermal desorption engineering operation monitoring system, as shown in fig. 5, including: the sensor terminal, the upper computer system and the in-situ thermal desorption engineering operation monitoring device of the embodiment 1, wherein,
the sensor terminal includes:
the heating unit monitoring terminal is arranged in the heating unit and is used for collecting the first monitoring data of the heating unit, and the detailed description is shown in the description of the step S10 in the embodiment 1;
the extraction unit monitoring terminal is arranged in the extraction unit and is used for collecting the second monitoring data of the extraction unit, and the detailed description is shown in the description of the step S20 in the embodiment 1;
the waste treatment unit monitoring terminal is arranged in the waste treatment unit and is used for collecting the third monitoring data of the waste treatment unit, and the detailed description of the step S30 is described in the embodiment 1;
The in-situ thermal desorption engineering operation monitoring device is configured to obtain an analysis result based on the first monitoring data, the second monitoring data and the third monitoring data, and send the analysis result, where the detailed description is described in the above embodiment 1 for the step S50;
the upper computer system is used for obtaining the analysis processing result and visually displaying the analysis result.
For example, as shown in fig. 6, the upper computer system may also obtain manual monitoring data, where the manual monitoring data includes daily obtained exhaust gas monitoring data, gas monitoring data of the inner and peripheral, in-situ thermal desorption operation factory boundary of the heating unit, groundwater sampling analysis data, and in-situ thermal desorption operation factory soil sampling data. In practice, the exhaust gas monitoring data may be obtained, for example, using a Flame Ion Detector (FID), a Photo Ion Detector (PID), including but not limited to target pollutants, particulates, non-methane total hydrocarbons.
Specifically, feature information is extracted based on the first monitoring data, the second monitoring data and the third monitoring data, a digital twin model is built based on the feature information, a digital model is built through the digital twin model, the digital model is processed through simulation analysis, a mapping relation is built based on the digital model, the first monitoring data, the second monitoring data and the third monitoring data, a virtual model is built according to the mapping relation, mapped data information of the first monitoring data, the second monitoring data and the third monitoring data is displayed on the virtual model in real time, real-time analysis is conducted according to the mapped data information, analysis results are obtained, and the analysis results are displayed on the virtual model.
The virtual model is illustrated in fig. 7, a digital twin model is built according to the position information and the environment information of the first monitoring data, the second monitoring data and the third monitoring data acquisition points, a digital model is built based on the digital twin model, the digital model is processed by simulation analysis, a mapping relation is built based on the digital model, the first monitoring data, the second monitoring data and the third monitoring data, and the virtual model is built according to the mapping relation.
In the embodiment of the invention, the monitoring data of each working unit is collected through the sensor terminal, and the virtual model is established to display the corresponding data on the model in a three-dimensional way, so that various data generated in the whole working process of the in-situ thermal desorption engineering can be comprehensively detected, the various data can be timely distinguished, the response is quick, the personnel for on-site operation and maintenance are reduced, the labor cost is saved, the data acquisition is more convenient, the problems in the operation process of the in-situ thermal desorption engineering can be timely found, and the response provides a guarantee for long-term effective operation and data accumulation of the in-situ thermal desorption engineering.
Example 3
As shown in fig. 8, an embodiment of the present invention provides an in-situ thermal desorption engineering operation monitoring device, which comprises a heating unit monitoring module 10, an extraction unit monitoring module 20, a waste treatment unit monitoring module 30, a data integration module 40, and a data analysis module 50, wherein,
The heating unit monitoring module 10 is configured to obtain first monitoring data of the heating unit, where the first monitoring data includes: heating temperature data, heating pressure data, heat conduction data, and resistance heating data, the detailed description of which is given in the above description of step S10 in example 1;
the extraction unit monitoring module 20 is configured to obtain second monitoring data of the extraction unit, where the second monitoring data includes: extraction temperature data, extraction pressure data and first concentration data of the target contaminant are described in detail in the above description of step S20 in example 1;
a waste treatment unit monitoring module 30 for acquiring third monitoring data of the waste treatment unit, the third monitoring data comprising: the detailed description of the waste treatment temperature data, the waste treatment pressure data, the waste treatment concentration data and the second concentration data of the target pollutant is described in the above embodiment 1 with reference to the description of step S30;
the data integration module 40 is configured to integrate the heating temperature data, the extraction temperature data, and the waste treatment temperature data based on the first monitoring data, the second monitoring data, and the third monitoring data to obtain temperature integration data, integrate the heating pressure data, the extraction pressure data, and the waste treatment pressure data to obtain pressure integration data, and integrate the first concentration data of the target pollutant, the waste treatment concentration data, and the second concentration data of the target pollutant into concentration integration data, which is described in detail in the above embodiment 1 and in step S40;
The data analysis module 50 is configured to perform analysis processing based on the temperature integrated data, the pressure integrated data and the concentration integrated data to obtain analysis processing results, and the detailed description is described in the above embodiment 1 with reference to step S50.
In the embodiment of the invention, the first monitoring data of the heating unit, the second monitoring data of the extraction unit and the third monitoring data of the waste treatment unit are acquired, classified integration is performed based on the first monitoring data, the second monitoring data and the third monitoring data, the temperature data in the first monitoring data, the second monitoring data and the third monitoring data are integrated to obtain temperature integration data, the pressure data in the first monitoring data, the second monitoring data and the third monitoring data are integrated to obtain pressure integration data, the concentration data in the second monitoring data and the third monitoring data are integrated to obtain concentration integration data, and analysis processing is performed on the temperature integration data, the pressure integration data and the concentration integration data to obtain analysis processing results. According to the embodiment of the invention, the obtained temperature data, pressure data and concentration data of each unit are integrated and analyzed, so that various data generated in the whole working process of the in-situ thermal desorption engineering can be comprehensively detected, the various data can be timely distinguished, the response is quick, personnel for on-site operation and maintenance are reduced, the labor cost is saved, the data acquisition is more convenient, the problems in the running process of the in-situ thermal desorption engineering can be timely found out, and the response provides a guarantee for long-term effective running and data accumulation of the in-situ thermal desorption engineering.
In an alternative embodiment of the present invention, as shown in fig. 9, the data analysis module 50 includes: a data analysis sub-module 51, an information transmission module 52, wherein,
the data analysis sub-module 51 is configured to extract data to be analyzed corresponding to a temperature preset threshold, a pressure preset threshold, and a concentration preset threshold based on the temperature integrated data, the pressure integrated data, and the concentration integrated data, and obtain early warning information based on the data to be analyzed and the preset data threshold, which is described in the above embodiment 1 in detail in step S51;
the information transmission module 52 is configured to send the early warning information to the terminal, and the detailed description is described in the above embodiment 1 with reference to step S52.
In the embodiment of the invention, the data of the corresponding working unit in each integrated data is subjected to corresponding analysis processing, so that an analysis result can be obtained more accurately, corresponding early warning information is sent out, the warning efficiency is improved, meanwhile, an accurate early warning information position can be provided for a worker, a guarantee is provided for the repair work of the subsequent in-situ thermal desorption engineering, and further, a theoretical premise is provided for evaluating the repair effect of the in-situ thermal desorption engineering.
In an alternative implementation of the present invention, as shown in fig. 10, the data integration module 40 further includes: the reference data integrating sub-module 41 is used for integrating the heat conduction data and the resistance heating data into reference data, and the detailed description is given in the above description of step S41 in embodiment 1.
In an alternative embodiment of the present invention, the data analysis module 50 is further configured to perform the following steps:
(1) Establishing a reference data set based on the reference data;
(2) Judging whether to perform early warning prompt or not based on the first monitoring data, the second monitoring data, the third monitoring data and the reference data set, and if the first monitoring data, the second monitoring data and the third monitoring data are not in the range of the reference set, sending early warning prompt;
(3) And if the first monitoring data, the second monitoring data and the third monitoring data are in the range of the reference set, sending corresponding monitoring data.
Specifically, a reference data set is established according to the reference data, the safe working range of each working unit in the operation process of the in-situ thermal desorption engineering is determined, the collected first monitoring data, second monitoring data and third monitoring data are compared with the reference data set by a machine learning method, if the first monitoring data, the second monitoring data and the third monitoring data are in the range of the reference data set, the corresponding working units do not need to be adjusted, corresponding data information is sent to a terminal, and if the first monitoring data, the second monitoring data and the third monitoring data are not in the range of the reference data set, the data of the corresponding working units of the first monitoring data, the second monitoring data and the third monitoring data are not in the range of the reference data set are obtained, and early warning reminding is carried out, and the early warning information is sent to the terminal. In practical application, the concentration early warning of the second monitoring data and the third monitoring data is based on restoration to a target concentration, and the target concentration can be, for example, a concentration data average value generated in the running process of the long-term in-situ thermal desorption engineering.
In the embodiment of the invention, the acquired data is compared with the reference data by establishing the reference data, so that whether the acquired data meets the engineering standard can be accurately judged, and the corresponding data can be adjusted based on the reference data, thereby improving the working efficiency.
In an alternative embodiment of the present invention, as shown in fig. 11, the in-situ thermal desorption engineering operation monitoring device further includes:
the battery management module 60 is configured to obtain the power consumption of the heating unit monitoring module, the extraction unit monitoring module, the waste processing unit monitoring module, the data integration module, and the data analysis module, and identify the working states of the heating unit monitoring module, the extraction unit monitoring module, the waste processing unit monitoring module, the data integration module, and the data analysis module based on the power consumption, and the detailed description is described in the above embodiment 1 for the step S60.
In the embodiment of the invention, the power consumption of each working unit is controlled by constructing the battery management unit, so that the cruising ability of the battery is improved, and the working state of each working unit can be identified according to the power consumption of each working unit, so that the running condition of each working unit is adjusted in real time.
Example 4
An embodiment of the present invention further provides a computing device, as shown in fig. 12, and fig. 12 is a schematic structural diagram of a computing device provided by an alternative embodiment of the present invention, where the computing device may include at least one processor 41, at least one communication interface 42, at least one communication bus 43, and at least one memory 44, where the communication interface 42 may include a Display screen (Display), a Keyboard (Keyboard), and the optional communication interface 42 may further include a standard wired interface and a wireless interface. The memory 44 may be a high-speed RAM memory (Random Access Memory, volatile random access memory) or a non-volatile memory (non-volatile memory), such as at least one disk memory. The memory 44 may alternatively be at least one memory device located remotely from the aforementioned processor 41. Wherein processor 41 may be a device as described in connection with fig. 8-11, application program is stored in memory 44, and processor 41 invokes program code stored in memory 44 for performing the steps of the in situ thermal desorption engineering operation monitoring method of any of the method embodiments described above.
The communication bus 43 may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus, an extended industry standard architecture (extended industry standard architecture, EISA) bus, or the like. The communication bus 43 may be classified into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 12, but not only one bus or one type of bus.
Wherein the memory 44 may include volatile memory (English) such as random-access memory (RAM); the memory may also include a nonvolatile memory (english: non-volatile memory), such as a flash memory (english: flash memory), a hard disk (english: hard disk drive, abbreviated as HDD) or a solid state disk (english: solid-state drive, abbreviated as SSD); memory 44 may also include a combination of the types of memory described above.
The processor 41 may be a central processor (English: central processing unit, abbreviated: CPU), a network processor (English: network processor, abbreviated: NP) or a combination of CPU and NP.
The processor 41 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof (English: programmable logic device). The PLD may be a complex programmable logic device (English: complex programmable logic device, abbreviated: CPLD), a field programmable gate array (English: field-programmable gate array, abbreviated: FPGA), a general-purpose array logic (English: generic array logic, abbreviated: GAL), or any combination thereof.
Optionally, the memory 44 is also used for storing program instructions. The processor 41 may call program instructions to implement the in-situ thermal desorption engineering operation monitoring method as described in embodiment 1 of the present invention.
The embodiment of the invention also provides a non-transitory computer storage medium, which stores computer executable instructions capable of executing the in-situ thermal desorption engineering operation monitoring method in any of the method embodiments. Wherein the storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a Flash Memory (Flash Memory), a Hard Disk (HDD), or a Solid State Drive (SSD); the storage medium may also comprise a combination of memories of the kind described above.
It is apparent that the above examples are given by way of illustration only and are not limiting of the embodiments. Other variations or modifications of the above teachings will be apparent to those of ordinary skill in the art. It is not necessary here nor is it exhaustive of all embodiments. While still being apparent from variations or modifications that may be made by those skilled in the art are within the scope of the invention.
Claims (5)
1. An in-situ thermal desorption engineering operation monitoring device, which is characterized by comprising:
the heating unit monitoring module is used for acquiring first monitoring data of the heating unit, wherein the first monitoring data comprises: heating temperature data, heating pressure data, heat conduction data and resistance heating data, wherein the heat conduction data are the temperature and electrothermal temperature of a heating rod in an in-situ thermal desorption project, and the resistance heating data are the heating current, the formation resistivity and the temperature generated by the surface voltage of a heating zone in the in-situ thermal desorption project;
the extraction unit monitoring module is used for acquiring second monitoring data of the extraction unit, wherein the second monitoring data comprises: extracting temperature data, extracting pressure data and first concentration data of target pollutants;
the waste treatment unit monitoring module is used for obtaining third monitoring data of the waste treatment unit, and the third monitoring data comprises: waste treatment temperature data, waste treatment pressure data, waste treatment concentration data, and second concentration data for the target contaminant;
the data integration module is used for performing classified integration based on the first monitoring data, the second monitoring data and the third monitoring data, integrating the heating temperature data, the extraction temperature data and the waste treatment temperature data to obtain temperature integration data, integrating the heating pressure data, the extraction pressure data and the waste treatment pressure data to obtain pressure integration data, and integrating the first concentration data of the target pollutant, the waste treatment concentration data and the second concentration data of the target pollutant into concentration integration data;
The data analysis module is used for carrying out analysis processing based on the temperature integration data, the pressure integration data and the concentration integration data to obtain an analysis processing result;
the data analysis module comprises:
the data analysis sub-module is used for extracting data to be analyzed corresponding to a temperature preset threshold value, a pressure preset threshold value and a concentration preset threshold value based on the temperature integrated data, the pressure integrated data and the concentration integrated data, and acquiring early warning information based on the data to be analyzed and the preset data threshold value;
the information transmission module is used for sending the early warning information to the terminal;
the data integration module further comprises: the reference data integration sub-module is used for integrating the heat conduction data and the resistance heating data into reference data;
the data analysis module is also used for establishing a reference data set based on the reference data;
judging whether to perform early warning prompt or not based on the first monitoring data, the second monitoring data, the third monitoring data and the reference data set, and if the first monitoring data, the second monitoring data and the third monitoring data are not in the range of the reference data set, sending early warning prompt;
if the first monitoring data, the second monitoring data and the third monitoring data are in the range of the reference data set, sending corresponding monitoring data;
The in-situ thermal desorption engineering operation monitoring device further comprises:
and the battery management module is used for acquiring the power consumption of the heating unit monitoring module, the extraction unit monitoring module, the waste processing unit monitoring module, the data integration module and the data analysis module and identifying the working states of the heating unit monitoring module, the extraction unit monitoring module, the waste processing unit monitoring module, the data integration module and the data analysis module based on the power consumption.
2. An in-situ thermal desorption engineering operation monitoring system, which is characterized by comprising: the sensor terminal, the upper computer system and the in-situ thermal desorption engineering operation monitoring device as claimed in claim 1, wherein,
the sensor terminal includes:
the heating unit monitoring terminal is arranged in the heating unit and is used for acquiring the first monitoring data of the heating unit;
the extraction unit monitoring terminal is arranged in the extraction unit and is used for collecting the second monitoring data of the extraction unit;
the waste treatment unit monitoring terminal is arranged in the waste treatment unit and is used for acquiring the third monitoring data of the waste treatment unit;
The in-situ thermal desorption engineering operation monitoring device is used for obtaining analysis processing results based on the first monitoring data, the second monitoring data and the third monitoring data and sending the analysis processing results;
the upper computer system is used for obtaining the analysis processing result and visually displaying the analysis processing result.
3. The in-situ thermal desorption engineering operation monitoring method is characterized by comprising the following steps of:
acquiring first monitoring data of the heating unit, the first monitoring data comprising: heating temperature data, heating pressure data, heat conduction data and resistance heating data, wherein the heat conduction data are the temperature and electrothermal temperature of a heating rod in an in-situ thermal desorption project, and the resistance heating data are the heating current, the formation resistivity and the temperature generated by the surface voltage of a heating zone in the in-situ thermal desorption project;
obtaining second monitoring data of the extraction unit, the second monitoring data comprising: extracting temperature data, extracting pressure data and first concentration data of target pollutants;
obtaining third monitoring data of the waste treatment unit, the third monitoring data comprising: waste treatment temperature data, waste treatment pressure data, waste treatment concentration data, and second concentration data for the target contaminant;
Classifying and integrating the heating temperature data, the extraction temperature data and the waste treatment temperature data based on the first monitoring data, the second monitoring data and the third monitoring data to obtain temperature integration data, integrating the heating pressure data, the extraction pressure data and the waste treatment pressure data to obtain pressure integration data, and integrating the first concentration data of the target pollutant, the waste treatment concentration data and the second concentration data of the target pollutant into concentration integration data;
analyzing and processing based on the temperature integrated data, the pressure integrated data and the concentration integrated data to obtain an analysis and processing result;
the analyzing and processing are performed based on the temperature integrated data, the pressure integrated data and the concentration integrated data to obtain an analysis and processing result, including:
extracting data to be analyzed corresponding to a temperature preset threshold value, a pressure preset threshold value and a concentration preset threshold value based on the temperature integrated data, the pressure integrated data and the concentration integrated data, and acquiring early warning information based on the data to be analyzed and the preset data threshold value;
the early warning information is sent to a terminal;
the classifying integration based on the first monitoring data comprises:
The first monitoring data further includes: heat conduction data and resistance heating data;
integrating the heat conduction data and the resistance heating data into reference data;
the reference data establishes a reference data set;
judging whether to perform early warning prompt or not based on the first monitoring data, the second monitoring data, the third monitoring data and the reference data set, and if the first monitoring data, the second monitoring data and the third monitoring data are not in the range of the reference data set, sending early warning prompt;
if the first monitoring data, the second monitoring data and the third monitoring data are in the range of the reference data set, sending corresponding monitoring data;
and acquiring the power consumption of the heating unit monitoring module, the extraction unit monitoring module, the waste processing unit monitoring module, the data integration module and the data analysis module, and identifying the working states of the heating unit monitoring module, the extraction unit monitoring module, the waste processing unit monitoring module, the data integration module and the data analysis module based on the power consumption.
4. A computer device, comprising:
at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to perform the in situ thermal desorption engineering operation monitoring method of claim 3.
5. A computer readable storage medium having stored thereon computer instructions for causing the computer to perform the in situ thermal desorption engineering operation monitoring method of claim 3.
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Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6824328B1 (en) * | 2000-04-14 | 2004-11-30 | Board Of Regents, The University Of Texas System | Vapor collection and treatment of off-gas from an in-situ thermal desorption soil remediation |
| CN109013685A (en) * | 2018-07-06 | 2018-12-18 | 北京石油化工学院 | A kind of hydrocarbon contamination soil repair system based on thermal desorption in situ |
| CN110227708A (en) * | 2019-05-31 | 2019-09-13 | 中科鼎实环境工程有限公司 | A kind of soil in-situ thermal desorption intelligent control system |
| CN110260995A (en) * | 2019-06-24 | 2019-09-20 | 上海格林曼环境技术有限公司 | The temperature collection system and its temp measuring method in place are repaired for thermal desorption in situ |
| CN110779980A (en) * | 2019-11-25 | 2020-02-11 | 广西博测检测技术服务有限公司 | VOCs monitoring system for in-situ thermal desorption |
| CN111069264A (en) * | 2019-12-31 | 2020-04-28 | 北京建工环境修复股份有限公司 | In-situ thermal desorption repair system and repair method for polluted site |
| CN111650005A (en) * | 2020-02-10 | 2020-09-11 | 江苏盖亚环境科技股份有限公司 | Soil VOCs detection system and detection method |
| CN211653523U (en) * | 2020-05-07 | 2020-10-09 | 北京建工环境修复股份有限公司 | Intelligent temperature control management system for in-situ electric heating desorption of soil |
| CN112517622A (en) * | 2020-11-18 | 2021-03-19 | 吉林大学 | Contaminated soil strengthening in-situ thermal desorption heating device and method |
| CN113477041A (en) * | 2021-07-09 | 2021-10-08 | 苏州市宏宇环境科技股份有限公司 | Indirect thermal desorption equipment exhaust-gas treatment intelligent control device |
| CN113798314A (en) * | 2021-09-30 | 2021-12-17 | 上海市政工程设计研究总院（集团）有限公司 | Control method of segmented electric heating in-situ thermal desorption remediation system for contaminated site |
-
2021
- 2021-12-30 CN CN202111657668.XA patent/CN114323144B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6824328B1 (en) * | 2000-04-14 | 2004-11-30 | Board Of Regents, The University Of Texas System | Vapor collection and treatment of off-gas from an in-situ thermal desorption soil remediation |
| CN109013685A (en) * | 2018-07-06 | 2018-12-18 | 北京石油化工学院 | A kind of hydrocarbon contamination soil repair system based on thermal desorption in situ |
| CN110227708A (en) * | 2019-05-31 | 2019-09-13 | 中科鼎实环境工程有限公司 | A kind of soil in-situ thermal desorption intelligent control system |
| CN110260995A (en) * | 2019-06-24 | 2019-09-20 | 上海格林曼环境技术有限公司 | The temperature collection system and its temp measuring method in place are repaired for thermal desorption in situ |
| CN110779980A (en) * | 2019-11-25 | 2020-02-11 | 广西博测检测技术服务有限公司 | VOCs monitoring system for in-situ thermal desorption |
| CN111069264A (en) * | 2019-12-31 | 2020-04-28 | 北京建工环境修复股份有限公司 | In-situ thermal desorption repair system and repair method for polluted site |
| CN111650005A (en) * | 2020-02-10 | 2020-09-11 | 江苏盖亚环境科技股份有限公司 | Soil VOCs detection system and detection method |
| CN211653523U (en) * | 2020-05-07 | 2020-10-09 | 北京建工环境修复股份有限公司 | Intelligent temperature control management system for in-situ electric heating desorption of soil |
| CN112517622A (en) * | 2020-11-18 | 2021-03-19 | 吉林大学 | Contaminated soil strengthening in-situ thermal desorption heating device and method |
| CN113477041A (en) * | 2021-07-09 | 2021-10-08 | 苏州市宏宇环境科技股份有限公司 | Indirect thermal desorption equipment exhaust-gas treatment intelligent control device |
| CN113798314A (en) * | 2021-09-30 | 2021-12-17 | 上海市政工程设计研究总院（集团）有限公司 | Control method of segmented electric heating in-situ thermal desorption remediation system for contaminated site |
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