Underground water in-situ remediation data remote monitoring system and method based on cloud platform

Abstract

The invention discloses an underground water in-situ remediation data remote monitoring system and method based on a cloud platform. The system comprises the cloud platform, an on-site monitoring host, an in-situ remediation device and a monitoring well. The on-site monitoring host comprises a parameter adjusting module which is used for adjusting the injection duration and the injection flow according to the flow velocity of underground water, adjusting the injection flow according to the rainfall and adjusting the injection flow according to a flow feedback coefficient; the cloud platform comprises a PRB state monitoring module and a feedback adjusting module; the PRB state monitoring module is used for analyzing the state of the reaction area of the PRB according to the monitoring data of the first monitoring well and the second monitoring well; the feedback regulation module is used for generating different feedback regulation strategies according to the number of abnormal reaction areas when particle abnormity exists in the PRB reaction areas. The underground water in-situ remediation system is remotely monitored and controlled, the state of the in-situ remediation system can be obtained at the far end, remediation parameters are adaptively adjusted, and the remediation effect is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of groundwater in-situ remediation, and in particular to a remote monitoring system and method for groundwater in-situ remediation data based on a cloud platform. Background Art

[0002] In situ groundwater remediation (INSR) refers to the technology of treating pollutants directly in the underground environment without extracting contaminated groundwater to the surface. Its core goal is to degrade, adsorb, transform or fix pollutants at the original location of the pollution through physical, chemical or biological methods to make them meet environmental safety standards. However, existing in situ remediation devices still have problems with poor control effect and difficulty in knowing the remediation effect. The in situ remediation device includes at least an injection device and a PRB device. The existing injection device adopts a fixed threshold control method. When the pollutant concentration exceeds the threshold, the injection device is started and the liquid injection operation is performed according to fixed parameters. Therefore, the control parameters are too fixed and cannot adapt to different ground and underground environments, which will lead to a weakening of the remediation effect. After long-term use, the PRB device in the existing technology will experience abnormal conditions such as particle blockage, which will cause the remediation effect of the PRB to deteriorate, but the staff cannot know this situation and cannot make targeted adjustment measures. In addition, the existing in situ remediation system is usually controlled on-site and cannot achieve remote monitoring and control. It is difficult for staff to know the status and remediation effect of the in situ remediation system.

[0003] In the prior art, invention patent application CN118337799A proposes a method for storing multi-site groundwater in-situ remediation data using a cloud database, comprising: Step 1. Utilizing an on-site system installed on the groundwater in-situ remediation site equipment, the real-time collection and monitoring of all on-site equipment data is realized, and the data is preliminarily packaged and processed before being sent to the cloud server. Step 2. Utilizing the cloud system, the data sent from each groundwater in-situ remediation site is processed, and the data is processed and labeled accordingly for subsequent storage operations. Step 3. Utilizing the cloud database, all real-time data is centrally stored. The cloud database includes real-time data of all running groundwater in-situ remediation sites at different locations, viewing operation data of the cloud application system, control operation data of the cloud application system, data synchronization of all parties, and data backup. This technical solution realizes the aggregation and storage of data from multiple groundwater in-situ remediation sites and achieves unified management. However, the invention does not solve the above-mentioned technical problems. Summary of the Invention

[0004] Purpose of the invention: In response to the above problems, the present invention proposes a remote monitoring system and method for groundwater in-situ remediation data based on a cloud platform.

[0005] Technical solution:

[0006] In a first aspect, the present invention provides a remote monitoring system for groundwater in-situ remediation data based on a cloud platform, comprising a cloud platform, an on-site monitoring host, an in-situ remediation device, a first monitoring well, and a second monitoring well;

[0007] The in-situ repair device includes a front-stage device and a back-stage device;

[0008] The front-stage device includes a plurality of injection devices, and the back-stage device includes a PRB;

[0009] The on-site monitoring host includes a parameter adjustment module;

[0010] The parameter adjustment module is used to adjust the injection time and injection flow rate according to the groundwater flow rate, adjust the injection flow rate according to the rainfall, and adjust the injection flow rate according to the flow feedback coefficient;

[0011] The cloud platform includes a PRB status monitoring module and a feedback adjustment module;

[0012] The PRB status monitoring module is used to analyze the status of the reaction zone of the PRB based on the monitoring data of the first monitoring well and the second monitoring well;

[0013] The feedback adjustment module is used to generate different feedback adjustment strategies according to the number of abnormal reaction areas when there are abnormal particles in the PRB reaction area.

[0014] Preferably, the system further comprises an above-ground sensing device and an underground sensing device; the underground sensing device is used to collect groundwater flow velocity and groundwater pollution concentration; and the above-ground sensing device is used to collect rainfall data.

[0015] Preferably, the PRB includes a transition zone and a reaction zone; the first monitoring well is arranged in the transition zone of the PRB; and the second monitoring well is arranged in the reaction zone of the PRB.

[0016] In a second aspect, the present invention further provides a remote monitoring method for groundwater in-situ remediation data based on a cloud platform, the method comprising:

[0017] S1. Arrange an in-situ repair device, wherein the in-situ repair device includes a front-stage device and a back-stage device; the front-stage device includes several injection devices, and the back-stage device includes a PRB;

[0018] S2. Setting a plurality of first monitoring wells in the transition zone of the PRB and setting a plurality of second monitoring wells in the reaction zone of the PRB;

[0019] S3. The on-site monitoring host configures the injection parameters and adjusts the injection parameters based on the above-ground and underground data;

[0020] S4. Determine the state of the reaction zone of the PRB based on the monitoring data of the first monitoring well and the second monitoring well;

[0021] S5. Remote monitoring is implemented based on the cloud platform. The abnormal conditions of the reaction zones are analyzed according to the PRB monitoring data, and different feedback adjustment strategies are generated according to the number of abnormal reaction zones.

[0022] Preferably, the S3 includes:

[0023] The on-site monitoring host adjusts the injection duration and injection flow rate based on the groundwater flow rate in the underground data;

[0024] The on-site monitoring host adjusts the injection flow rate based on the rainfall in the ground data;

[0025] The on-site monitoring host obtains the flow feedback coefficient sent by the cloud platform and multiplies it by the injection flow to obtain the target injection flow.

[0026] Preferably, the S4 includes:

[0027] S42. Analyze the overall restoration effect of the PRB based on the monitoring data of the first monitoring well;

[0028] S43 , analyzing the particle state in the reaction zone of the PRB based on the monitoring data of the first monitoring well and the second monitoring well.

[0029] Preferably, the S42 includes:

[0030] N first monitoring wells are respectively provided in the first transition zone, the second transition zone and the third transition zone of the PRB;

[0031] Collect monitoring data Uij of the first monitoring well, where Uij is the monitoring data of the j-th first monitoring well in the i-th transition zone; obtain time-sharing data Ui of each transition zone, where Ui is the average of the monitoring data of the N first monitoring wells in the i-th transition zone in each time-sharing period;

[0032] Analyze the time-sharing target data of each transition zone based on the working period and idle period of the industrial park; calculate the median Uix of the time-sharing data Ui during the working period and the median Uiy of the time-sharing data during the idle period respectively;

[0033] The repair effect of the PRB reaction area is judged according to the time-sharing target data between adjacent transition areas; if U3x-U1x≥the first threshold and U3y-U1y≥the second threshold, the PRB is judged to meet the standard; otherwise, enter S43.

[0034] Preferably, the S43 includes:

[0035] Determine the abnormal reaction zone based on the monitoring data of the first monitoring well; if U2x-U1x≥the third threshold value, and U2y-U1y≥the third threshold value, then determine that the first reaction zone meets the standard; if U3x-U2x≥the third threshold value, and U3y-U2y≥the third threshold value, then determine that the second reaction zone meets the standard;

[0036] If the first reaction zone or the second reaction zone does not meet the standards, the second monitoring wells in each reaction zone are numbered to form a monitoring well array, and the monitoring data Ptmn of each second monitoring well is obtained; the mean Ptn of the monitoring data of multiple second monitoring wells in the column direction is calculated; and the change in the difference between Ptn of adjacent columns is analyzed. If the difference PQ between Ptn of adjacent columns is less than the preset value, it is judged that the reaction particles between adjacent columns are abnormal.

[0037] Preferably, the S5 includes:

[0038] The cloud platform receives monitoring data sent by the on-site monitoring host and determines whether there is a particle abnormality signal. If so, it obtains monitoring data from the first monitoring well of the transition zone adjacent to the reaction zone where the abnormal particles are located to determine the abnormality of the reaction zone; calculates the medians Uax and Ubx of the time-sharing data of the adjacent transition zones during the working period; determines the deviation value PRt between the absolute value of the difference between Uax and Ubx and the third threshold; if PRt exceeds the deviation limit Pth, the tth reaction zone is determined to be an abnormal reaction zone;

[0039] Different feedback adjustment strategies are selected based on the number of abnormal reaction zones; if only one of PR1 and PR2 exceeds the deviation limit Pth, the amplitude Pja exceeding the deviation limit is obtained; the injection flow rate is adjusted based on Pja; the flow feedback coefficient α is set to 1+Pja / Pth; if both PR1 and PR2 exceed the deviation limit, the cloud platform sends the particle abnormality information to the staff's monitoring terminal, reminding the staff to perform maintenance or replacement on time.

[0040] In a third aspect, the present invention also provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor. Preferably, when the processor executes the computer program, the steps in the cloud platform-based groundwater in-situ remediation data remote monitoring method are implemented.

[0041] In a fourth aspect, the present invention also provides a computer-readable storage medium having a computer program stored thereon. Preferably, when the computer program is executed by a processor, the steps in the cloud platform-based groundwater in-situ remediation data remote monitoring method are implemented.

[0042] The present invention has the following beneficial effects compared to the prior art:

[0043] 1. The present invention realizes remote monitoring and control of the groundwater in-situ remediation system based on a cloud platform. With the help of the present invention, staff can remotely obtain the groundwater pollution status at the groundwater in-situ remediation system site and the remediation effects of the injection device and PRB device;

[0044] 2. The present invention achieves parameter configuration and adjustment of the injection device in the groundwater in-situ remediation system through the coordinated use of an on-site monitoring host and a cloud platform. It can adaptively adjust the injection flow rate and / or injection duration based on above-ground and underground data, achieving a far superior control effect than the fixed threshold control method used in the prior art.

[0045] 3. The present invention can also realize status analysis of the PRB reaction zone based on the monitoring data of multiple monitoring wells in the transition zone and reaction zone of the PRB device, timely discover abnormal reaction zones, and generate different feedback adjustment strategies according to the number of abnormal reaction zones. When the number of abnormal reaction zones is one, a flow feedback coefficient is generated to adjust the injection flow of the injection device, thereby compensating for the insufficient repair effect of the PRB reaction zone, and thus can improve the overall repair effect of the in-situ repair system. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 A schematic diagram of the structure of a remote monitoring system for groundwater in-situ remediation data based on a cloud platform provided by an embodiment of the present invention;

[0047] Figure 2 A flow chart of a remote monitoring method for groundwater in-situ remediation data based on a cloud platform provided by an embodiment of the present invention;

[0048] Figure 3 A flow chart of a method for adjusting injection parameters based on above-ground data and underground data provided by an embodiment of the present invention;

[0049] Figure 4 A schematic diagram of the structure of a PRB device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0050] Obviously, many modifications and variations made by those skilled in the art based on the purpose of the present invention fall within the protection scope of the present invention.

[0051] It will be understood by those skilled in the art that, unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in the specification of the present invention refers to the presence of the features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof. It should be understood that when an element or component is said to be "connected" to another element or component, it can be directly connected to the other element or component, or there may be intermediate elements or components. The term "and / or" used herein includes any unit and all combinations of one or more associated listed items.

[0052] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0053] Example 1:

[0054] The present invention provides a remote monitoring system for groundwater in-situ remediation data based on a cloud platform. Figure 1 , Figure 1 This is a schematic diagram of the structure of a cloud-based remote monitoring system for groundwater in-situ remediation data provided by an embodiment of the present invention. The system includes: a cloud platform, an on-site monitoring host, an in-situ remediation device, a first monitoring well, and a second monitoring well. The in-situ remediation device includes a front-end device and a back-end device. The front-end device includes several injection devices, and the back-end device includes a PRB. The injection device is connected to the injection well and is also in communication with a monitoring well data acquisition system within the injection area.

[0055] It also includes an above-ground sensing device and an underground sensing device; the underground sensing device is used to collect groundwater flow rate and groundwater pollution concentration; the above-ground sensing device is used to collect rainfall data;

[0056] The PRB includes a transition zone and a reaction zone; the first monitoring well is set in the transition zone of the PRB; the second monitoring well is set in the reaction zone of the PRB. Figure 4 , Figure 4 A schematic diagram of the structure of a PRB device provided in an embodiment of the present invention is a top view, in which the solid circle represents the first monitoring well and the hollow circle represents the second monitoring well.

[0057] The on-site monitoring host includes an initial configuration module and a parameter adjustment module; the initial configuration module is used to configure the injection pressure, initial injection flow, injection time, and start threshold of the injection device; the parameter adjustment module is used to adjust the injection time and injection flow according to the groundwater flow rate, adjust the injection flow according to the rainfall, and adjust the injection flow according to the flow feedback coefficient;

[0058] The cloud platform includes a PRB status monitoring module and a feedback adjustment module; the PRB status monitoring module is used to analyze the status of the PRB reaction zone based on the monitoring data of the first monitoring well and the second monitoring well; the feedback adjustment module is used to generate different feedback adjustment strategies according to the number of abnormal reaction zones when there are particle anomalies in the PRB reaction zone.

[0059] Preferably, if the parameter adjustment module detects that the groundwater flow rate is greater than the baseline flow rate and the difference between the two exceeds a preset value, the injection time is increased and the injection flow rate is reduced; if the parameter adjustment module detects that the groundwater flow rate is lower than the baseline flow rate and the difference between the two exceeds a preset value, the injection time is reduced and the injection flow rate is increased.

[0060] The present invention uses sensors to monitor groundwater flow rates. In areas with fast groundwater flow rates, the injection fluid is easily washed away, so the injection duration needs to be increased. To prevent excessively high injection concentrations in small areas, the injection flow rate needs to be reduced. In areas with slower groundwater flow rates, the injection duration needs to be reduced, and to prevent excessively low injection concentrations, the injection flow rate needs to be appropriately increased.

[0061] Optionally, the injection time and injection flow rate can be adjusted based on actual engineering experience; the injection time and injection flow rate can also be adjusted by proportional regulation. If the measured groundwater flow velocity v1 exceeds the reference flow velocity v0, and the difference between the two exceeds a preset value, the injection time T1 is increased to T2, and T2 = T1*[1+(v1-v0) / v0], and the injection flow rate is reduced from Q1 to Q2, and Q2 = Q1*[1-(v1-v0) / v0]. Similarly, if the measured groundwater flow velocity v1 is less than the reference flow velocity v0, and the difference between the two exceeds a preset value, the injection time T1 is reduced to T2, and T2 = T1*[1-(v0-v1) / v0], and the injection flow rate is increased from Q1 to Q2, and Q2 = Q1*[1+(v0-v1) / v0].

[0062] Preferably, the parameter adjustment module increases the injection flow rate if it is detected that the rainfall exceeds the reference amount.

[0063] When rainfall increases, the amount of ammonium nitrogen leaching in the soil will increase, and the pollution load of groundwater in situ remediation will increase. In this case, the present invention improves the in situ remediation capacity by increasing the injection flow rate.

[0064] Optionally, the injection flow rate can be adjusted based on actual engineering experience; the injection flow rate can also be adjusted by proportional regulation; if the measured rainfall R1 exceeds the reference amount R0, the injection flow rate is increased from Q1 to Q2, and Q2 = Q1*[1+(R1-R0) / (R1+R0)].

[0065] Preferably, the parameter adjustment module obtains the flow feedback coefficient α sent by the cloud platform, and multiplies it by the injection flow to obtain the target injection flow; the flow feedback coefficient α is obtained by analysis and calculation by the cloud platform.

[0066] After the monitoring data is acquired, the monitoring data is processed and analyzed, including: calculating the time-sharing data Ui of the transition zone, where Ui is the average value of the monitoring data of N first monitoring wells in the i-th transition zone in each time-sharing period;

[0067] Calculate the medians Uax and Ubx of the time-sharing data of adjacent transition zones during the working period; determine the deviation value PRt between the absolute value of the difference between Uax and Ubx and the third threshold; if PRt exceeds the deviation limit Pth, determine that the tth reaction zone is an abnormal reaction zone; where t is the reaction zone number, which can be 1 or 2; because the particles in the reaction zone are abnormal, resulting in poor repair effect in the reaction zone, the difference between Uax and Ubx is less than the third threshold; here, PRt = third threshold - |Uax - Ubx|, to ensure that PRt is a positive value;

[0068] Select different feedback regulation strategies based on the number of abnormal reaction zones;

[0069] If only one of PR1 and PR2 exceeds the deviation limit Pth, then obtain the amplitude Pja exceeding the deviation limit; adjust the injection flow rate based on Pja; set the flow feedback coefficient α=1+Pja / Pth;

[0070] If Pja is too large, it indicates that the reaction zone is abnormal and the repair effect is reduced. In this case, it is necessary to adjust the injection flow rate of the front-stage repair device and increase the injection flow rate by a certain amount to enhance the repair effect in the front stage. In addition, if there is no abnormal particle signal area, no adjustment is required and α = 1 is sufficient.

[0071] Example 2:

[0072] The present invention also provides a remote monitoring method for groundwater in-situ remediation data based on a cloud platform. Figure 2 , Figure 2 A flowchart of a method for remote monitoring of groundwater in-situ remediation data based on a cloud platform is provided in an embodiment of the present invention. The method includes the following steps:

[0073] S1. Arrange an in-situ repair device, wherein the in-situ repair device includes a front-stage device and a back-stage device; the front-stage device includes several injection devices, and the back-stage device includes a PRB;

[0074] S2. Setting a plurality of first monitoring wells in the transition zone of the PRB and setting a plurality of second monitoring wells in the reaction zone of the PRB;

[0075] S3. The on-site monitoring host configures the injection parameters and adjusts the injection parameters based on the above-ground and underground data;

[0076] Please refer to Figure 3 , Figure 3 A flow chart of a method for adjusting injection parameters based on aboveground data and underground data provided in an embodiment of the present invention, wherein S3 includes:

[0077] S31. The injection parameters configured by the on-site monitoring host include injection pressure, initial injection flow rate, injection duration, and a start threshold value Thy. When the pollution concentration in the underground data collected by the sensor exceeds the start threshold value Thy, the injection device is started and liquid is injected according to the injection pressure, initial injection flow rate, and injection duration.

[0078] S32, the on-site monitoring host adjusts the injection duration and injection flow rate based on the groundwater flow rate in the underground data;

[0079] If the groundwater flow rate is greater than the reference flow rate and the difference exceeds the preset value, the injection time is increased and the injection flow rate is reduced; if the groundwater flow rate is lower than the reference flow rate and the difference exceeds the preset value, the injection time is reduced and the injection flow rate is increased;

[0080] The groundwater flow rate can be monitored by sensors. In areas with fast groundwater flow rates, the injection liquid is easily washed away, so the injection time needs to be increased. At the same time, in order to avoid excessively high injection concentration in a small area, the injection flow rate needs to be reduced. In areas with low groundwater flow rates, the injection time needs to be shortened. At the same time, in order to avoid excessively low injection concentration, the injection flow rate needs to be appropriately increased.

[0081] Optionally, the injection time and injection flow rate can be adjusted based on actual engineering experience; the injection time and injection flow rate can also be adjusted by proportional adjustment; if the measured groundwater flow velocity v1 exceeds the reference flow velocity v0, and the difference between the two exceeds the preset value, the injection time T1 is increased to T2, and T2 = T1*[1+(v1-v0) / v0], and the injection flow rate is reduced from Q1 to Q2, and Q2 = Q1*[1-(v1-v0) / v0]; similarly, if the measured groundwater flow velocity v1 is less than the reference flow velocity v0, and the difference between the two exceeds the preset value, the injection time T1 is reduced to T2, and T2 = T1*[1-(v0-v1) / v0], and the injection flow rate is increased from Q1 to Q2, and Q2 = Q1*[1+(v0-v1) / v0].

[0082] S33. The on-site monitoring host adjusts the injection flow rate based on the rainfall in the ground data; if the rainfall exceeds the reference amount, the injection flow rate is increased;

[0083] When rainfall increases, the amount of ammonium nitrogen leaching in the soil increases, and the pollution load of groundwater in situ remediation increases. In this case, the present invention improves the in situ remediation capacity by increasing the injection flow rate;

[0084] Optionally, the injection flow rate can be adjusted based on actual engineering experience; the injection flow rate can also be adjusted by proportional regulation; if the measured rainfall R1 exceeds the reference amount R0, the injection flow rate is increased from Q1 to Q2, and Q2 = Q1*[1+(R1-R0) / (R1+R0)].

[0085] S34. The on-site monitoring host obtains the flow feedback coefficient α sent by the cloud platform and multiplies it by the injection flow to obtain the target injection flow;

[0086] The flow feedback coefficient is the coefficient obtained by analysis in the subsequent steps of the present invention;

[0087] S35. The on-site monitoring host controls the injection device to inject liquid at the target injection flow rate.

[0088] S4. Determine the state of the reaction zone of the PRB based on the monitoring data of the first monitoring well and the second monitoring well;

[0089] The PRB in the prior art has the problem of clogging and reduced activity due to long-term use. The present invention can analyze the status of the PRB based on the data of the monitoring well.

[0090] Preferably, the S4 includes:

[0091] S41, setting a plurality of first monitoring wells in the first transition zone, the second transition zone, and the third transition zone of the PRB, respectively, and setting a plurality of second monitoring wells in the first reaction zone and the second reaction zone of the PRB;

[0092] S42. Analyze the overall restoration effect of the PRB based on the monitoring data of the first monitoring well;

[0093] Preferably, the S42 includes:

[0094] S421. N first monitoring wells are respectively provided in the first transition zone, the second transition zone, and the third transition zone of the PRB, where N is a positive integer not less than 2;

[0095] S422. Collect monitoring data Uij of the first monitoring well, where Uij is the monitoring data of the j-th first monitoring well in the i-th transition zone, 1≤i≤3, 1≤j≤N; obtain time-sharing data Ui for each transition zone, where Ui is the mean of the monitoring data of the N first monitoring wells in the i-th transition zone in each time-sharing period; wherein the time-sharing period is days, i.e., statistical analysis of the monitoring data is performed on a daily basis;

[0096] S423, analyzing the time-sharing target data of each transition zone based on the working period and the idle period of the industrial park; calculating the median Uix of the time-sharing data Ui during the working period and the median Uiy of the time-sharing data during the idle period;

[0097] In addition, the average can also be selected as the time-sharing weight data, that is, the average Uix of the time-sharing data Ui during the working period and the average Uiy of the time-sharing data during the idle period are calculated respectively;

[0098] S424, judging the repair effect of the PRB reaction area based on the time-sharing target data between adjacent transition areas;

[0099] If U3x-U1x≥the first threshold, and U3y-U1y≥the second threshold, then the PRB is determined to be up to standard; otherwise, the process goes to S43;

[0100] The present invention considers the working period and the idle period separately. During the working period, there is usually more sewage discharge, which causes a greater load on the PRB; during the idle period, there is usually no large amount of sewage discharge or large amount of liquid injection, and the load on the PRB is also smaller.

[0101] S43, analyzing the particle state in the reaction zone of the PRB based on the monitoring data of the first monitoring well and the second monitoring well;

[0102] Preferably, the S43 includes:

[0103] S431. Determine an abnormal reaction zone based on the monitoring data of the first monitoring well; if U2x-U1x≥the third threshold value, and U2y-U1y≥the third threshold value, determine that the first reaction zone meets the standard; if U3x-U2x≥the third threshold value, and U3y-U2y≥the third threshold value, determine that the second reaction zone meets the standard; if the first reaction zone or the second reaction zone does not meet the standard, proceed to S432;

[0104] S432, numbering the second monitoring wells in each reaction zone to form a monitoring well array, and obtaining monitoring data Ptmn of each second monitoring well, where t is the number of the reaction zone, m is the row number, and n is the column number;

[0105] Calculate the mean value Ptn of the monitoring data of multiple second monitoring wells in the same column direction;

[0106] Among them, multiple second monitoring wells in the same column direction constitute a column, and multiple second monitoring wells in the same row direction constitute a row. The row direction is the same as the groundwater flow direction, and the column direction is perpendicular to the groundwater flow direction.

[0107] Analyze the changes in the difference between Ptn of adjacent columns. If the difference PQ between Ptn of adjacent columns is less than a preset value, it is determined that the reaction particles between adjacent columns are abnormal.

[0108] If the difference in monitoring data between two adjacent rows of second monitoring wells is too small, it means that the reaction particles between the two adjacent rows of second monitoring wells may be blocked or have expired, resulting in a weakening of the repair effect of the reaction particles. Therefore, it is necessary to report to the staff for further processing.

[0109] S5. Remote monitoring is achieved based on the cloud platform. The abnormal conditions of the reaction zones are analyzed based on the PRB monitoring data, and different feedback adjustment strategies are generated according to the number of abnormal reaction zones.

[0110] Preferably, the S5 includes:

[0111] S51, the cloud platform receives the monitoring data sent by the on-site monitoring host and determines whether there is an abnormal particle signal. If so, it enters S52;

[0112] S52, obtaining monitoring data of a first monitoring well in a transition zone adjacent to the reaction zone where the abnormal particles are located, and determining abnormal conditions in the reaction zone;

[0113] Preferably, the S52 includes:

[0114] S521, respectively calculating the medians Uax and Ubx of the time-sharing data of adjacent transition zones during the working period;

[0115] S522. Determine the deviation value PRt between the absolute value of the difference between Uax and Ubx and the third threshold. If PRt exceeds the deviation limit Pth, the tth reaction zone is determined to be an abnormal reaction zone. t is the reaction zone number, which can be 1 or 2. Since the particles in the reaction zone are abnormal, the repair effect of the reaction zone is poor, and therefore the difference between Uax and Ubx is less than the third threshold. Here, PRt = the third threshold - |Uax - Ubx|, thereby ensuring that PRt is a positive value.

[0116] S53, selecting different feedback adjustment strategies based on the number of abnormal reaction areas;

[0117] Preferably, the S53 includes:

[0118] S531. If only one of PR1 and PR2 exceeds the deviation limit Pth, obtain the amplitude Pja exceeding the deviation limit; adjust the injection flow rate based on Pja; set the flow rate feedback coefficient α=1+Pja / Pth;

[0119] If Pja is too large, it indicates that the reaction zone is abnormal and the repair effect is reduced. In this case, it is necessary to adjust the injection flow rate of the front-stage repair device and increase the injection flow rate by a certain amount to enhance the repair effect in the front stage. In addition, S51 also includes that if there is no abnormal particle signal zone, no adjustment is required and α = 1 can be used.

[0120] S532. If both PR1 and PR2 exceed the deviation limit, the cloud platform will send the particle abnormality information to the staff's monitoring terminal to remind the staff to perform maintenance or replacement on time.

[0121] Example 3:

[0122] An embodiment of the present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor. Preferably, when the processor executes the computer program, the steps in the cloud platform-based groundwater in-situ remediation data remote monitoring method are implemented.

[0123] Example 4:

[0124] An embodiment of the present invention also provides a computer-readable storage medium having a computer program stored thereon. Preferably, when the computer program is executed by a processor, the steps in the cloud platform-based groundwater in-situ remediation data remote monitoring method are implemented.

[0125] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from the other embodiments. Reference can be made to the descriptions of the identical or similar parts between the various embodiments. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple, and the relevant parts can be referred to the descriptions of the methods.

[0126] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the components and steps of each example according to their functions. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0127] Finally, it should be noted that, in this document, relationships such as first and second, etc., are used solely to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

Claims

1. A remote monitoring system for groundwater in-situ remediation data based on a cloud platform, comprising a cloud platform, an on-site monitoring host, an in-situ remediation device, a first monitoring well, and a second monitoring well; the in-situ remediation device comprises a front-stage device and a back-stage device; the front-stage device comprises several injection devices, and the back-stage device comprises a PRB; characterized in that: The on-site monitoring host includes a parameter adjustment module; the parameter adjustment module is used to adjust the injection time and injection flow according to the groundwater flow rate, adjust the injection flow according to the rainfall, and adjust the injection flow according to the flow feedback coefficient; The cloud platform includes a PRB status monitoring module and a feedback adjustment module; The PRB status monitoring module is used to analyze the status of the PRB reaction zone based on the monitoring data of the first monitoring well and the second monitoring well; the feedback adjustment module is used to generate different feedback adjustment strategies according to the number of abnormal reaction zones when there are particle abnormalities in the PRB reaction zone.

2. The remote monitoring system for groundwater in-situ remediation data based on a cloud platform according to claim 1 is characterized in that: The system further comprises an above-ground sensing device and an underground sensing device; the underground sensing device is used to collect groundwater flow velocity and groundwater pollution concentration; and the above-ground sensing device is used to collect rainfall data.

3. The remote monitoring system for groundwater in-situ remediation data based on a cloud platform according to claim 2 is characterized in that: The PRB includes a transition zone and a reaction zone; the first monitoring well is set in the transition zone of the PRB; and the second monitoring well is set in the reaction zone of the PRB.

4. A remote monitoring method for groundwater in-situ remediation data based on a cloud platform, characterized in that: The method includes: S1. Arrange an in-situ repair device, wherein the in-situ repair device includes a front-stage device and a back-stage device; the front-stage device includes several injection devices, and the back-stage device includes a PRB; S2. Setting a plurality of first monitoring wells in the transition zone of the PRB and setting a plurality of second monitoring wells in the reaction zone of the PRB; S3. The on-site monitoring host configures the injection parameters and adjusts the injection parameters based on the above-ground and underground data; S4. Determine the state of the reaction zone of the PRB based on the monitoring data of the first monitoring well and the second monitoring well; S5. Remote monitoring is implemented based on the cloud platform. The abnormal conditions of the reaction zones are analyzed according to the PRB monitoring data, and different feedback adjustment strategies are generated according to the number of abnormal reaction zones.

5. The remote monitoring method for groundwater in-situ remediation data based on a cloud platform according to claim 4 is characterized in that: The S3 includes: the on-site monitoring host adjusts the injection duration and injection flow rate based on the groundwater flow velocity in the underground data; the on-site monitoring host adjusts the injection flow rate based on the rainfall in the ground data; the on-site monitoring host obtains the flow feedback coefficient sent by the cloud platform, multiplies it by the injection flow rate to obtain the target injection flow rate.

6. The remote monitoring method for groundwater in-situ remediation data based on a cloud platform according to claim 5 is characterized in that: The S4 includes: S42, analyzing the overall repair effect of the PRB based on the monitoring data of the first monitoring well; S43, analyzing the particle state of the reaction zone of the PRB based on the monitoring data of the first monitoring well and the second monitoring well.

7. The remote monitoring method for groundwater in-situ remediation data based on a cloud platform according to claim 6 is characterized in that: Said S42 comprises: setting N first monitoring wells in the first transition zone, the second transition zone and the third transition zone of the PRB respectively; Collect monitoring data Uij of the first monitoring well, where Uij is the monitoring data of the j-th first monitoring well in the i-th transition zone; obtain time-sharing data Ui of each transition zone, where Ui is the average of the monitoring data of the N first monitoring wells in the i-th transition zone in each time-sharing period; Analyze the time-sharing target data of each transition zone based on the working period and idle period of the industrial park; calculate the median Uix of the time-sharing data Ui during the working period and the median Uiy of the time-sharing data during the idle period respectively; The repair effect of the PRB reaction area is judged according to the time-sharing target data between adjacent transition areas; if U3x-U1x≥the first threshold and U3y-U1y≥the second threshold, the PRB is judged to meet the standard; otherwise, enter S43.

8. The remote monitoring method for groundwater in-situ remediation data based on a cloud platform according to claim 7 is characterized in that: The S43 includes: Determine the abnormal reaction zone based on the monitoring data of the first monitoring well; if U2x-U1x≥the third threshold value, and U2y-U1y≥the third threshold value, then determine that the first reaction zone meets the standard; if U3x-U2x≥the third threshold value, and U3y-U2y≥the third threshold value, then determine that the second reaction zone meets the standard; If the first reaction zone or the second reaction zone does not meet the standards, the second monitoring wells in each reaction zone are numbered to form a monitoring well array, and the monitoring data Ptmn of each second monitoring well is obtained; the mean Ptn of the monitoring data of multiple second monitoring wells in the column direction is calculated; and the change in the difference between Ptn of adjacent columns is analyzed. If the difference PQ between Ptn of adjacent columns is less than the preset value, it is judged that the reaction particles between adjacent columns are abnormal.

9. The remote monitoring method for groundwater in-situ remediation data based on a cloud platform according to claim 8, characterized in that: The S5 includes: the cloud platform receives monitoring data sent by the on-site monitoring host, determines whether there is a particle abnormality signal, and if so, obtains monitoring data of a first monitoring well in a transition zone adjacent to the reaction zone where the abnormal particles are located to determine the abnormality of the reaction zone; calculates the medians Uax and Ubx of the time-sharing data of the adjacent transition zones during the working period; determines the deviation value PRt between the absolute value of the difference between Uax and Ubx and a third threshold; if PRt exceeds the deviation limit Pth, determines that the tth reaction zone is an abnormal reaction zone; Different feedback adjustment strategies are selected based on the number of abnormal reaction zones. If only one of PR1 and PR2 exceeds the deviation limit Pth, the amplitude Pja exceeding the deviation limit is obtained, and the injection flow rate is adjusted based on Pja. If both PR1 and PR2 exceed the deviation limit, the cloud platform sends the particle abnormality information to the staff's monitoring terminal, reminding the staff to perform maintenance or replacement on time.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the remote monitoring method for groundwater in-situ remediation data based on a cloud platform are implemented.

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