Indoor radon concentration detection management method and system

Abstract

The invention relates to the technical field of data management analysis, in particular to an indoor radon concentration detection management method and system, and the method comprises the steps: determining that the system is in a normal operation state; obtaining the number of carbon boxes in the current detection batch, the first weight of each carbon box and the second weight after the radon concentration detection sample is put; determining whether the radon concentration detection sample is abnormal according to the first weight and the second weight; if not, enabling the system to sleep for a preset time period T, and detecting the indoor radon concentration; and after the indoor radon concentration detection is finished, obtaining detection data, and generating a data list containing the current batch number, the detection sample ID and the detection data. According to the indoor radon concentration detection management system and method, the system state information, the sample batch information and the sample weight information can be managed in a unified mode by constructing the indoor radon concentration detection management system and method of the self-control detection process, full automation of indoor radon concentration detection is achieved, the indoor radon concentration detection cost is reduced, and the detection efficiency and quality are improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of data management and analysis, and more particularly, to a method and system for detecting and managing indoor radon concentration. Background Art

[0002] Radon gas is a radioactive gas harmful to the human body. Currently, the methods for detecting indoor radon gas concentration include: pump suction electrostatic collection energy spectrum analysis method, pump suction scintillation chamber method, pump suction pulse ionization chamber method, activated carbon box - low background multi-channel γ spectrometer method. Among them, the activated carbon box method has the advantages of strong stability, low detection cost, and can be used for batch detection at one time, and is widely used in the detection of indoor radon concentration. However, when using the activated carbon box to detect indoor radon at present, it is necessary to go through the processes of placing the activated carbon box, detecting the activated carbon box, collecting the activated carbon box, and detecting data analysis. The whole process requires in-depth manual participation. On the one hand, the labor cost is high, and on the other hand, the detection time is long, the detection efficiency is low, and it is easy to make mistakes.

[0003] Therefore, those skilled in the art urgently need to find a new technical solution to solve the above problems. Summary of the Invention

[0004] To overcome the problems existing in the related art, the present disclosure provides a method and system for detecting and managing indoor radon concentration.

[0005] According to the first aspect of the embodiments of the present disclosure, a method for detecting and managing indoor radon concentration is provided, which is applied to an indoor radon concentration detection and management system. The method includes:

[0006] Determine that the indoor radon concentration detection and management system is in a normal operating state;

[0007] Obtain the number of charcoal boxes in the current indoor radon concentration detection batch, weigh each charcoal box respectively, and obtain the first weight of each charcoal box;

[0008] Put each radon concentration detection sample into the corresponding charcoal box, weigh the charcoal box after putting the radon concentration detection sample, and obtain the second weight of each charcoal box after putting the radon concentration detection sample;

[0009] Determine whether the radon concentration detection sample is abnormal according to the first weight and the second weight;

[0010] If it is determined that the radon concentration detection sample is not abnormal, put the indoor radon concentration detection and management system into sleep for a preset time period T, so that the radon concentration detection sample detects the indoor radon concentration;

[0011] After determining that the indoor radon concentration detection is completed, obtain the indoor radon concentration detection data, and generate a data list including the current batch number, the detection sample ID, and the detection data, so as to view and / or analyze the radon concentration detection data.

[0012] Optionally, determining that the indoor radon concentration detection management system is in a normal operating state includes:

[0013] Obtain the device operation data of the indoor radon concentration detection device, and determine whether the indoor radon concentration detection device is in a normal operating state according to the device operation data;

[0014] If so, obtain the system operation data of the indoor radon concentration detection management system, and determine whether the indoor radon concentration detection management system is in a normal operating state according to the system operation data;

[0015] If so, determine that the indoor radon concentration detection management system is in a normal operating state.

[0016] Optionally, determining whether there is an abnormality in the radon concentration detection sample according to the first weight and the second weight includes:

[0017] Subtract the first weight from the second weight to obtain a first difference;

[0018] If the first difference is less than X, determine that the radon concentration detection sample is abnormal and issue an abnormality prompt, where X is the minimum value of the weight of the radon concentration detection sample stored in the database;

[0019] If the first difference is greater than or equal to X, determine that the radon concentration detection sample is not abnormal.

[0020] Optionally, the method further includes:

[0021] S1: Determine whether the sleep time t of the indoor radon concentration detection management system is less than the preset time period T;

[0022] S2: If the sleep time t is greater than or equal to the preset time period T, determine that the indoor radon concentration detection is completed, and turn on the indoor radon concentration detection management system;

[0023] S3: If the sleep time t is less than the preset time period T, determine whether the sleep time t is less than the remaining usage time t1 of the radon concentration detection sample;

[0024] S4: If the sleep time t is greater than or equal to the remaining usage time t1, determine that the radon concentration detection sample detection is completed, and repeat steps S1 to S4 until all the radon concentration detection samples are detected, and turn on the indoor radon concentration detection management system;

[0025] S5: If the dormancy time t is less than the remaining usage time t1, repeat steps S1 to S5 until all the radon concentration detection samples are detected, and then activate the indoor radon concentration detection management system.

[0026] Optionally, obtaining the indoor radon concentration detection data and generating a data list including the current batch number, the detection sample ID, and the detection data includes:

[0027] Obtain the indoor radon concentration detection data, and store the current batch number, the detection sample ID, and the detection data in an Excel data table.

[0028] Save the Excel data packet to the current batch directory.

[0029] According to the second aspect of the disclosed embodiments of the present invention, there is provided an indoor radon concentration detection management system, which includes:

[0030] An initialization module, configured to determine that the indoor radon concentration detection management system is in a normal operating state;

[0031] A charcoal box weighing module, connected to the initialization module, configured to obtain the number of charcoal boxes in the current indoor radon concentration detection batch, weigh each charcoal box respectively, and obtain the first weight of each charcoal box;

[0032] A sample weighing module, connected to the charcoal box weighing module, configured to put each radon concentration detection sample into the corresponding charcoal box respectively, weigh the charcoal box after putting the radon concentration detection sample, and obtain the second weight of each charcoal box after putting the radon concentration detection sample;

[0033] An abnormality detection module, connected to the sample weighing module, configured to determine whether there is an abnormality in the radon concentration detection sample according to the first weight and the second weight;

[0034] A radon concentration detection module, connected to the abnormality detection module, configured to, if it is determined that there is no abnormality in the radon concentration detection sample, put the indoor radon concentration detection management system into dormancy for a preset time period T, so that the radon concentration detection sample detects the indoor radon concentration;

[0035] A data sorting and analysis module, connected to the radon concentration detection module, configured to, after determining that the indoor radon concentration detection is completed, obtain the indoor radon concentration detection data and generate a data list including the current batch number, the detection sample ID, and the detection data, so as to view and / or analyze the radon concentration detection data.

[0036] Optionally, the initialization module includes:

[0037] Obtain the device operation data of the indoor radon concentration detection device, and determine whether the indoor radon concentration detection device is in a normal operation state according to the device operation data;

[0038] If so, obtain the system operation data of the indoor radon concentration detection management system, and determine whether the indoor radon concentration detection management system is in a normal operation state according to the system operation data;

[0039] If so, determine that the indoor radon concentration detection management system is in a normal operation state.

[0040] Optionally, the anomaly detection module includes:

[0041] An anomaly detection unit for subtracting the first weight from the second weight to obtain a first difference;

[0042] A first judgment unit connected to the anomaly detection unit for determining that the radon concentration detection sample is abnormal and issuing an anomaly prompt if the first difference is less than X, where X is the minimum value of the weight of the radon concentration detection sample stored in the database;

[0043] A second judgment unit connected to the anomaly detection unit for determining that the radon concentration detection sample is not abnormal if the first difference is greater than or equal to X.

[0044] Optionally, the system further includes: a detection time judgment module for:

[0045] S1: Determine whether the sleep time t of the indoor radon concentration detection management system is less than the preset time period T;

[0046] S2: If the sleep time t is greater than or equal to the preset time period T, determine that the indoor radon concentration detection is over, and turn on the indoor radon concentration detection management system;

[0047] S3: If the sleep time t is less than the preset time period T, determine whether the sleep time t is less than the remaining usage time t1 of the radon concentration detection sample;

[0048] S4: If the sleep time t is greater than or equal to the remaining usage time t1, determine that the radon concentration detection sample detection is over, and repeat steps S1 to S4 until all radon concentration detection samples are detected, and turn on the indoor radon concentration detection management system;

[0049] S5: If the sleep time t is less than the remaining usage time t1, repeat steps S1 to S5 until all radon concentration detection samples are detected, and turn on the indoor radon concentration detection management system.

[0050] Optionally, the data sorting and analysis module includes:

[0051] A data acquisition unit that acquires indoor radon concentration detection data and stores the current batch number, detection sample ID, and detection data in an Excel data table.

[0052] A data storage unit, connected to the data acquisition unit, that saves the Excel data packet to the current batch directory.

[0053] In summary, the present invention relates to the technical field of data management and analysis, and specifically includes an indoor radon concentration detection management method and system, including: determining that the system is in a normal operating state; obtaining the number of charcoal boxes in the current detection batch, weighing each charcoal box separately to obtain the first weight of each charcoal box; respectively placing each radon concentration detection sample into the corresponding charcoal box, weighing the charcoal box after placing the radon concentration detection sample to obtain the second weight of each charcoal box after placing the radon concentration detection sample; determining whether the radon concentration detection sample is abnormal based on the first weight and the second weight; if it is determined that the radon concentration detection sample is not abnormal, putting the indoor radon concentration detection management system into sleep for a preset time period T to enable the radon concentration detection sample to detect the indoor radon concentration; after determining that the indoor radon concentration detection is completed, obtaining the indoor radon concentration detection data and generating a data list including the current batch number, detection sample ID, and detection data for viewing and / or analyzing the radon concentration detection data. It is possible to uniformly manage the system status information, sample batch information, and sample weight information through an indoor radon concentration detection management system and method that constructs an automatic control detection process, realize the full automation of indoor radon concentration detection, reduce the cost of indoor radon concentration detection, and improve the detection efficiency and quality.

[0054] Other features and advantages of the present invention will be described in detail in the subsequent specific implementation part. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] The drawings are used to provide a further understanding of the present disclosure and constitute a part of the specification. They are used together with the following specific implementation to explain the present disclosure, but do not constitute a limitation to the present disclosure. In the drawings:

[0056] Figure 1 is a flowchart of an indoor radon concentration detection management method shown according to an exemplary embodiment;

[0057] Figure 2 is according to Figure 1 shown is a flowchart of a system operating state determination method;

[0058] Figure 3 is according to Figure 1 shown is a flowchart of an abnormality detection method;

[0059] Figure 4 is based on Figure 1 a flowchart showing a method for confirming whether indoor radon concentration detection is completed;

[0060] Figure 5 a structural block diagram of an indoor radon concentration detection management system shown according to an exemplary embodiment;

[0061] Figure 6 is based on Figure 5 a structural block diagram of an anomaly detection module shown;

[0062] Figure 7 is based on Figure 5 a structural block diagram of a data sorting and analysis module shown. Detailed implementation manners

[0063] The following details the specific implementation manners disclosed in the present invention with reference to the accompanying drawings. It should be understood that the specific implementation manners described herein are only for the purpose of illustration and explanation of the present disclosure, and are not intended to limit the present disclosure.

[0064] Figure 1 a flowchart of a method for detecting and managing indoor radon concentration shown according to an exemplary embodiment, as Figure 1 shown, applied to an indoor radon concentration detection management system, the method includes:

[0065] In step 101, it is determined that the indoor radon concentration detection management system is in a normal operating state.

[0066] Exemplarily, in the method for detecting and managing indoor radon concentration in the disclosed embodiment of the present invention, the hardware devices, detection samples, detection data, etc. during the radon concentration detection process are uniformly managed by the indoor radon concentration detection management system. Before starting the detection device to begin the indoor radon concentration detection, it is necessary to first determine that the indoor radon concentration detection management system is in a normal operating state.

[0067] Specifically, Figure 2 is based on Figure 1 a flowchart of a method for determining the system operating state shown, as Figure 2 shown, this step 101 includes:

[0068] In step 1011, the device operation data of the indoor radon concentration detection device is obtained, and based on the device operation data, it is determined whether the indoor radon concentration detection device is in a normal operating state.

[0069] Exemplarily, the hardware system interface of the indoor radon concentration detection system and the detection device is called to obtain the device operation data, and the device operation data is returned to the indoor radon concentration detection system through the hardware system interface. The indoor radon concentration detection system determines whether the detection device is in a normal operation state according to the returned device operation data.

[0070] In step 1012, if so, obtain the system operation data of the indoor radon concentration detection management system, and determine whether the indoor radon concentration detection management system is in a normal operation state according to the system operation data.

[0071] Exemplarily, if it is determined that the indoor radon concentration detection device is in a normal operation state, the indoor radon concentration detection management system prompts the user to continue with the next operation process, obtains the system operation data of the indoor radon concentration detection management system, and determines whether the system is in a normal operation state.

[0072] It can be understood that if it is determined that the indoor radon concentration detection device is not in a normal operation state, the system prompts an abnormality.

[0073] In step 1013, if so, determine that the indoor radon concentration detection management system is in a normal operation state.

[0074] Exemplarily, if it is determined that the indoor radon concentration detection management system is in a normal operation state, call the software to initialize the system, initialize the system parameters, and confirm whether the relevant parameter settings of the selected detection batch are complete. Continue to the next step or prompt a system abnormality according to the data returned by the software initialization module.

[0075] In an embodiment disclosed by the present invention, call the hardware system interface "obtain hardware system status" to obtain the interface return. If the return is 0, it means that the hardware system is running normally, and then continue to the next step; if the return is other, it means that the hardware system is running abnormally, and then pop up a window to prompt the user "hardware system abnormality, the abnormal information msg returned by the interface". Call the hardware interface "hardware system initialization" to obtain the interface return. If the return is 0, it means that the hardware system initialization is completed, and then continue to the next step; if the return is other, it means that the hardware system initialization is abnormal, and then pop up a window to prompt the user "hardware system abnormality, the abnormal information msg returned by the interface". Call the software initialization module to initialize the system parameters, and confirm whether the relevant parameter settings of the selected detection batch are complete. If complete, return 0, indicating that the initialization passes; otherwise, prompt the user to complete the relevant parameter settings.

[0076] In step 102, obtain the number of carbon boxes in the current indoor radon concentration detection batch, weigh each carbon box respectively, and obtain the first weight of each carbon box.

[0077] Exemplarily, during the indoor radon concentration detection process, a certain number of charcoal boxes and detection samples are selected for each batch. The indoor radon concentration is calculated based on the change in the weight of the detection samples in the charcoal boxes. Therefore, the charcoal boxes need to be weighed before the samples are put in. The indoor radon concentration detection management system in the disclosed embodiments of the present invention can uniformly manage and record the weighing process of the charcoal boxes.

[0078] Specifically, take out the charcoal box, call the "charcoal box weighing" function of the hardware interface, obtain the first weight returned by the interface, and update the record information of this batch of this charcoal box in the database table according to the returned data (the first weight) until the weighing of all charcoal boxes is completed.

[0079] In step 103, each radon concentration detection sample is respectively placed into the corresponding charcoal box, and the charcoal box after the radon concentration detection sample is placed is weighed to obtain the second weight of each charcoal box after the radon concentration detection sample is placed.

[0080] Exemplarily, after obtaining the first weight of each charcoal box, place the radon concentration detection sample into the charcoal box and weigh it again to obtain the second weight. Specifically, take the charcoal box (the charcoal box at this time is the one containing the radon concentration detection sample), call the "charcoal box weighing" of the hardware interface, obtain the second data returned by the interface, and update the record information of this batch of this charcoal box in the database table according to the returned data.

[0081] In an embodiment disclosed in the present invention, take the charcoal box, call the "charcoal box weighing" of the hardware interface, and obtain the interface return. If the code return value is 1, it means that the weighing of all charcoal boxes in the current batch is completed, and there are no more charcoal boxes to be weighed currently, then exit this function module and pop up a window to prompt "The weighing of all charcoal boxes is completed". If the code return value is 0, it means that the weighing is successful; in the returned data, box_id represents the charcoal box ID, and weight represents the weight of this charcoal box. Take the values of box_id and weight. If the current batch is the charcoal box before the sample is put in, then update the value of the presample_weight field of the record where this charcoal box is located in the sample_list table to the obtained charcoal box weight; otherwise, if the current batch is the charcoal box after the sample is put in, then update the value of the sampled_weight field of the record where this charcoal box is located in the sample_list table to the obtained charcoal box weight; sample_list is a database table in the system database for storing sample record information. If the code return value is -1, it means that the weighing fails, and a window pops up to prompt "The hardware system is abnormal, and the abnormal information msg returned by the interface. Please restart the weighing after the hardware system returns to normal". Continuously repeat the above steps until the weighing of all charcoal boxes is completed.

[0082] In step 104, determine whether the radon concentration detection sample is abnormal based on the first weight and the second weight.

[0083] Specifically,Figure 3 is based on Figure 1 a flowchart of an anomaly detection method shown in, as Figure 3 shown, step 104 includes:

[0084] In step 1041, subtract the first weight from the second weight to obtain a first difference.

[0085] In step 1042, if the first difference is less than X, determine that the radon concentration detection sample is abnormal and issue an anomaly prompt.

[0086] Wherein, X is the minimum value of the weights of the radon concentration detection samples stored in the database.

[0087] In step 1043, if the first difference is greater than or equal to X, determine that the radon concentration detection sample is not abnormal.

[0088] Exemplarily, obtain the recorded data of this batch of charcoal boxes (including the charcoal boxes with samples and those without samples) in the database, subtract the weight of the charcoal box before putting the sample (the second weight) from the weight of the charcoal box after putting the sample (the second weight). If the result is less than X grams, determine that the radon concentration detection sample is abnormal, call the hardware system interface "remove abnormal sample", and then return to the previous step to continue judging the size relationship between the value obtained by subtracting the weight of the charcoal box before putting the sample from the weight of the charcoal box after putting the sample and X; if the result is greater than or equal to X grams, continue to the next step; X is the minimum value of the weights of normal samples and can be set according to the actual application situation.

[0089] In an embodiment disclosed by the present invention, by controlling the indoor radon concentration data acquisition software, obtain the detection data of each sample in the current batch. Take a charcoal box, call the hardware interface "weigh charcoal box", and obtain the interface return. If: if the return value is 0, it means that all the charcoal boxes in the current batch have been detected and there are no more charcoal boxes to be detected, then exit this function module. If the return value is greater than 0, this value represents the weight of the charcoal box, then update the value of the sampled_weight field in the record of this charcoal box in the sample_list table to the obtained charcoal box weight. Take out the recorded data of this batch of this charcoal box from the sample_list table in the database, and subtract the weight presample_weight before putting the sample from the value of the weight sampled_weight of the charcoal box after putting the sample. If the result is less than 8 grams, then call the hardware interface "remove abnormal sample", and if the interface returns "0", it means that the removal of the abnormal sample is completed, and return to the previous step; if other values are returned, it means an anomaly, and pop up a window to prompt the user "Hardware system anomaly, unable to normally remove abnormal sample, the abnormal information msg returned by the interface"; if the result is greater than or equal to less than 8 grams, continue to the next step.

[0090] Call the hardware interface "Place the charcoal box" and obtain the interface return. If the return is 0, indicating that the placement is completed, then control the indoor radon concentration data acquisition software and click the "Start Detection" button of the "Detection Software"; if the return is other, indicating that the hardware system has not successfully placed the charcoal box, a pop-up window will prompt "The hardware system has not successfully placed the charcoal box, and the abnormal information msg returned by the interface. Please confirm that the hardware system is normal and then restart the data detection."

[0091] In step 105, if it is determined that the radon concentration detection sample is normal, put the indoor radon concentration detection management system into sleep for a preset time period T to enable the radon concentration detection sample to detect the indoor radon concentration.

[0092] Exemplarily, for the preset time period T, which is the time required for detection, it can be set according to the actual software environment.

[0093] In step 106, after determining that the indoor radon concentration detection is completed, obtain the indoor radon concentration detection data and generate a data list including the current batch number, detection sample ID, and detection data, so as to view and / or analyze the radon concentration detection data.

[0094] Exemplarily, Figure 4 is based on Figure 1 shown in a flowchart of a method for confirming whether the indoor radon concentration detection is completed. As Figure 4 shown, the method includes:

[0095] S1: Determine whether the sleep time t of the indoor radon concentration detection management system is less than the preset time period T.

[0096] S2: If the sleep time t is greater than or equal to the preset time period T, determine that the indoor radon concentration detection is completed and turn on the indoor radon concentration detection management system.

[0097] Exemplarily, it can be understood that the preset time period T is the longest time period required for the radon concentration detection sample to absorb indoor radon. When the sleep time t of the indoor radon concentration detection management system is greater than or equal to the preset time period T, it can be determined that the absorption of indoor radon by the radon concentration detection sample has ended, that is, the indoor radon concentration detection is completed. At this time, the indoor radon concentration detection management system can be turned on to continue the next operation.

[0098] S3: If the sleep time t is less than the preset time period T, determine whether the sleep time t is less than the remaining usage time t1 of the radon concentration detection sample.

[0099] S4: If the sleep time t is greater than or equal to the remaining usage time t1, determine that the radon concentration detection sample detection is completed, and repeat steps S1 to S4 until all radon concentration detection samples are detected, and then turn on the indoor radon concentration detection management system.

[0100] Exemplarily, if the sleep time t is less than the preset time period T, it is necessary to separately determine whether each radon concentration detection sample has completely absorbed the indoor radon gas. Obtain the service life and the used time of each radon concentration detection sample, and determine the remaining service time t1 of each radon concentration detection sample according to the service life and the used time. If the sleep time t is greater than or equal to the remaining service time t1, it means that this detection sample has been used up and can no longer play the role of absorbing indoor radon gas, and the detection process of this detection sample has ended. The system can prompt the staff to replace a detection sample and repeat the above steps until all the detection samples have completed the detection, and then turn on the indoor radon concentration detection management system.

[0101] S5: If the sleep time t is less than the remaining service time t1, repeat steps S1 to S5 until all the radon concentration detection samples have completed the detection, and then turn on the indoor radon concentration detection management system.

[0102] Similarly, for the sleep time t less than the remaining service time t1, it is determined that this detection sample has not been used up, and repeat the above steps until all the detection samples have completed the detection.

[0103] Furthermore, obtain the indoor radon concentration detection data and generate a data list including the current batch number, the detection sample ID, and the detection data, including: obtain the indoor radon concentration detection data, store the current batch number, the detection sample ID, and the detection data in an Excel data table; save the Excel data packet to the current batch directory.

[0104] Exemplarily, after the detection is completed, control the indoor radon concentration data acquisition software to save the detection data to the current batch directory, and name the directory as "current batch name - sample ID". Call the hardware interface "take out the charcoal box", obtain the interface return, and continue to the next step according to the return data or prompt that the hardware system is abnormal; continue the detection of other charcoal boxes.

[0105] In an embodiment disclosed by the invention, sleep for 10 minutes to wait for the detection to be completed. After the detection is completed, control the indoor radon concentration data acquisition software to save the detection data to the current batch directory, and name the directory as "current batch name - sample ID". Call the hardware interface "take out the charcoal box", obtain the interface return. If the return is 0, it means that the take-out is completed, and continue the detection of other charcoal boxes; if the return is other, it means that the hardware system has not successfully taken out the charcoal box, and a pop-up window prompts "The hardware system has not successfully taken out the charcoal box, and the abnormal information msg returned by the interface. Please confirm that the hardware system is normal and then restart the data detection".

[0106] In addition, the indoor radon concentration detection and management system in the disclosed embodiments of the present invention also has the function of displaying the list of analyzed data and the list of data to be analyzed. Specifically, the list of analyzed data displays all batches that are set in "System Management - Sample Batch Settings" and have completed data analysis, and the analysis results can be downloaded to the local in the form of an excel sheet; clicking on a batch in the list expands all the data records of that batch (corresponding to the records of that batch in the sample_list table of the sqlite database), and clicking "View Results" displays the detection results of that record. The list of data to be analyzed displays all batches that are set in "System Management - Sample Batch Settings" and have not completed data analysis. When the user clicks on a batch record, all the data records of that batch are expanded (corresponding to the records of that batch in the sample_list table of the sqlite database), and each data record can be modified; after the user clicks the "One-key Data Analysis" button for that batch record, the data analysis function is called to analyze each data sample of that batch one by one. After the analysis is completed, the analysis results are updated to the database, the sample_list table of the sqlite database is updated, and that batch is marked as having been analyzed, and the analysis results are saved to sample_list..

[0107] Furthermore, in the disclosed embodiments of the present invention, after obtaining the detection data and the corresponding Excel list, the data analysis function is started to analyze the detection data. Specifically, it includes: Step 1, obtain the process handle of the data analysis software "Radon Concentration Analysis Software" and the handles of its internal controls through the Win32 API, and import the sample data file from the current batch directory. Step 2, according to the business process, use the obtained handles to control the data analysis software to start setting the data analysis parameters, and then control the data analysis software to start the data analysis. After each is completed, the results are stored in the database. Access the database through the SQLiteConnection and SQLiteCommand classes of ADO.NET to obtain the weight before sampling (presample_weight), the weight after sampling (sampled_weight), and the sampling time (sample_time) of the charcoal box, and automatically fill them into the analysis software. Control the data analysis software to start the data analysis, and after each is completed, store the results in the database. Step 3, repeat the above Steps 1 and 2 until all the sample data files in the current batch directory are analyzed.

[0108] Furthermore, the disclosed embodiments of the present invention can also manage sample batches and system parameters, including adding, modifying, and deleting sample batches, setting the data acquisition duration, the sample data directory, and the communication timeout waiting time of the software and hardware systems, etc.

[0109] Further, the disclosed embodiments of the present invention can also automatically control the detection process to achieve full automation of indoor radon concentration detection. Specifically, it includes: Step 1, start the automatic system self-check function, call the system self-check function module to perform self-check on the hardware system and software system. If the check passes, continue to the next step; otherwise, prompt the user that the system is abnormal. Step 2, start the automatic data collection function, call the data collection function module to detect the samples in each charcoal box of the current batch, collect the detection data, and store it in the specified file directory of the current batch.

[0110] After starting the automatic data analysis function, call the data analysis function module to analyze the detection data of each sample in the current batch, and store the analysis results in the database table.

[0111] Figure 5 is a structural block diagram of an indoor radon concentration detection management system shown according to an exemplary embodiment, as Figure 5 shown, the system includes:

[0112] An initialization module 510, which is used to determine that the indoor radon concentration detection management system is in a normal operating state;

[0113] A charcoal box weighing module 520, connected to the initialization module 510, is used to obtain the number of charcoal boxes in the current indoor radon concentration detection batch, weigh each charcoal box respectively, and obtain the first weight of each charcoal box;

[0114] A sample weighing module 530, connected to the charcoal box weighing module 520, is used to put each radon concentration detection sample into the corresponding charcoal box respectively, weigh the charcoal box after putting the radon concentration detection sample, and obtain the second weight of each charcoal box after putting the radon concentration detection sample;

[0115] An abnormality detection module 540, connected to the sample weighing module 530, is used to determine whether the radon concentration detection sample is abnormal according to the first weight and the second weight;

[0116] A radon concentration detection module 550, connected to the abnormality detection module 540, is used to, if it is determined that the radon concentration detection sample is not abnormal, put the indoor radon concentration detection management system into sleep for a preset time period T, so that the radon concentration detection sample can detect the indoor radon concentration;

[0117] A data sorting and analysis module 560, connected to the radon concentration detection module 550, is used to, after determining the end of the indoor radon concentration detection, obtain the indoor radon concentration detection data, and generate a data list including the current batch number, detection sample ID, and detection data, so as to view and / or analyze the radon concentration detection data.

[0118] Optionally, the initialization module 510 includes:

[0119] Obtain the device operation data of the indoor radon concentration detection device, and determine whether the indoor radon concentration detection device is in a normal operation state according to the device operation data;

[0120] If so, obtain the system operation data of the indoor radon concentration detection management system, and determine whether the indoor radon concentration detection management system is in a normal operation state according to the system operation data;

[0121] If so, determine that the indoor radon concentration detection management system is in a normal operation state.

[0122] Figure 6 Yes, according to Figure 5 As shown in the structural block diagram of an anomaly detection module, as Figure 6 described, the anomaly detection module 540 includes:

[0123] An anomaly detection unit 541, configured to subtract the first weight from the second weight to obtain a first difference;

[0124] A first judgment unit 542, connected to the anomaly detection unit 541, configured to determine that there is an anomaly in the radon concentration detection sample and issue an anomaly prompt if the first difference is less than X, where X is the minimum value of the weights of the radon concentration detection samples stored in the database;

[0125] A second judgment unit 543, connected to the anomaly detection unit 541, configured to determine that there is no anomaly in the radon concentration detection sample if the first difference is greater than or equal to X.

[0126] Optionally, the system further includes: a detection time judgment module, configured to:

[0127] S1: Determine whether the sleep time t of the indoor radon concentration detection management system is less than a preset time period T;

[0128] S2: If the sleep time t is greater than or equal to the preset time period T, determine that the indoor radon concentration detection is completed, and turn on the indoor radon concentration detection management system;

[0129] S3: If the sleep time t is less than the preset time period T, determine whether the sleep time t is less than the remaining usage time t1 of the radon concentration detection sample;

[0130] S4: If the sleep time t is greater than or equal to the remaining usage time t1, determine that the detection of the radon concentration detection sample is completed, and repeat steps S1 to S4 until the detection of all radon concentration detection samples is completed, and turn on the indoor radon concentration detection management system;

[0131] S5: If the sleep time t is less than the remaining usage time t1, repeat steps S1 to S5 until the detection of all radon concentration detection samples is completed, and turn on the indoor radon concentration detection management system.

[0132] Figure 7 is based on Figure 5 a structural block diagram of a data sorting and analysis module shown as Figure 6 described, the data sorting and analysis module 560 includes:

[0133] A data acquisition unit 561 acquires indoor radon concentration detection data and stores the current batch number, detection sample ID, and detection data in an Excel data table;

[0134] A data storage unit 562 is connected to the data acquisition unit 561 and saves the Excel data packet under the current batch directory.

[0135] In summary, the present invention relates to the technical field of data management and analysis, and specifically includes a method and system for indoor radon concentration detection management, including: determining that the system is in a normal operating state; obtaining the number of charcoal boxes in the current detection batch, weighing each charcoal box respectively to obtain the first weight of each charcoal box; respectively placing each radon concentration detection sample into the corresponding charcoal box, weighing the charcoal box after placing the radon concentration detection sample to obtain the second weight of each charcoal box after placing the radon concentration detection sample; determining whether the radon concentration detection sample is abnormal according to the first weight and the second weight; if it is determined that the radon concentration detection sample is not abnormal, putting the indoor radon concentration detection management system into sleep for a preset time period T so that the radon concentration detection sample detects the indoor radon concentration; after determining that the indoor radon concentration detection is completed, obtaining the indoor radon concentration detection data and generating a data list including the current batch number, detection sample ID, and detection data for viewing and / or analyzing the radon concentration detection data. It is possible to uniformly manage the system status information, sample batch information, and sample weight information through a constructed indoor radon concentration detection management system and method with an automatic control detection process, realize the full automation of indoor radon concentration detection, reduce the cost of indoor radon concentration detection, and improve the detection efficiency and quality.

[0136] The preferred embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings. However, the present disclosure is not limited to the specific details in the above embodiments. Within the scope of the technical concept of the present disclosure, various simple modifications can be made to the technical solutions of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.

[0137] In addition, it should be noted that, in the above specific embodiments, the various specific technical features described can be combined in any appropriate manner without contradiction. To avoid unnecessary repetition, the present disclosure does not separately describe various possible combination methods.

[0138] In addition, any combination can be made between various different embodiments of the present disclosure as long as it does not violate the idea of the present disclosure, and it should also be regarded as the content disclosed by the present disclosure.

Claims

1. A method for indoor radon concentration detection and management, characterized in that: Applied to indoor radon concentration detection and management system, the method includes: Determining that the indoor radon concentration detection and management system is in normal operation; Obtain the number of carbon boxes in the current indoor radon concentration detection batch, weigh each carbon box respectively, and obtain the first weight of each carbon box; Put each radon concentration detection sample into the corresponding carbon box respectively, weigh the carbon box after putting the radon concentration detection sample into it, and obtain the second weight of each carbon box after putting the radon concentration detection sample into it; determining whether the radon concentration test sample is abnormal based on the first weight and the second weight; If it is determined that there is no abnormality in the radon concentration detection sample, the indoor radon concentration detection management system is put into sleep mode for a preset period of time T, so that the radon concentration detection sample can detect the indoor radon concentration; After determining that the indoor radon concentration detection is completed, the indoor radon concentration detection data is obtained, and a data list including the current batch number, the detection sample ID and the detection data is generated, so as to view and / or analyze the radon concentration detection data.

2. The indoor radon concentration detection and management method according to claim 1, characterized in that: The step of determining that the indoor radon concentration detection and management system is in a normal operating state includes: Acquire equipment operation data of an indoor radon concentration detection device, and determine whether the indoor radon concentration detection device is in a normal operating state according to the equipment operation data; If yes, obtaining system operation data of the indoor radon concentration detection and management system, and determining whether the indoor radon concentration detection and management system is in a normal operation state according to the system operation data; If so, it is determined that the indoor radon concentration detection and management system is in a normal operating state.

3. The indoor radon concentration detection and management method according to claim 1 is characterized in that: The step of determining whether the radon concentration detection sample is abnormal according to the first weight and the second weight includes: Subtract the first weight from the second weight to obtain a first difference; If the first difference is less than X, it is determined that the radon concentration detection sample is abnormal, and an abnormal prompt is issued, wherein X is the minimum value of the radon concentration detection sample weight stored in the database; If the first difference is greater than or equal to X, it is determined that there is no abnormality in the radon concentration detection sample.

4. The indoor radon concentration detection and management method according to claim 1, characterized in that: The method further comprises: S1: Determine whether the sleep time t of the indoor radon concentration detection and management system is less than the preset time period T; S2: If the sleep time t is greater than or equal to the preset time period T, it is determined that the indoor radon concentration detection is finished, and the indoor radon concentration detection management system is started; S3: If the sleep time t is less than the preset time period T, determine whether the sleep time t is less than the remaining use time t1 of the radon concentration detection sample; S4: If the dormant time t is greater than or equal to the remaining use time t1, it is determined that the radon concentration detection sample detection is completed, and steps S1 to S4 are repeatedly executed until all radon concentration detection samples are detected and the indoor radon concentration detection management system is started; S5: If the sleep time t is less than the remaining use time t1, repeat steps S1 to S5 until all radon concentration detection samples are detected, and start the indoor radon concentration detection management system.

5. The indoor radon concentration detection and management method according to claim 1, characterized in that: The method of obtaining indoor radon concentration detection data and generating a data list including the current batch number, detection sample ID and detection data includes: Obtain indoor radon concentration test data, and store the current batch number, test sample ID and test data in an Excel data table; Save the Excel data package to the current batch directory.

6. An indoor radon concentration detection and management system, characterized in that: The system comprises: An initialization module is used to determine that the indoor radon concentration detection and management system is in a normal operating state; A carbon box weighing module, connected to the initialization module, is used to obtain the number of carbon boxes in the current indoor radon concentration detection batch, weigh each carbon box respectively, and obtain the first weight of each carbon box; A sample weighing module is connected to the carbon box weighing module and is used to place each radon concentration detection sample into a corresponding carbon box, weigh the carbon box after the radon concentration detection sample is placed therein, and obtain a second weight of each carbon box after the radon concentration detection sample is placed therein; an abnormality detection module, connected to the sample weighing module, for determining whether the radon concentration detection sample is abnormal based on the first weight and the second weight; A radon concentration detection module, connected to the abnormality detection module, is used to put the indoor radon concentration detection management system into sleep mode for a preset period of time T if it is determined that the radon concentration detection sample does not have an abnormality, so that the radon concentration detection sample can detect the indoor radon concentration; The data sorting and analysis module is connected to the radon concentration detection module and is used to obtain indoor radon concentration detection data after determining that the indoor radon concentration detection is completed, and to generate a data list including the current batch number, detection sample ID and detection data, so as to view and / or analyze the radon concentration detection data.

7. The indoor radon concentration detection and management system according to claim 6, characterized in that: The initialization module comprises: Acquire equipment operation data of an indoor radon concentration detection device, and determine whether the indoor radon concentration detection device is in a normal operating state according to the equipment operation data; If yes, obtaining system operation data of the indoor radon concentration detection and management system, and determining whether the indoor radon concentration detection and management system is in a normal operation state according to the system operation data; If so, it is determined that the indoor radon concentration detection and management system is in a normal operating state.

8. The indoor radon concentration detection and management system according to claim 6, characterized in that: The anomaly detection module comprises: an abnormality detection unit, configured to obtain a first difference by subtracting the first weight from the second weight; A first judgment unit is connected to the abnormality detection unit, and is used to determine that the radon concentration detection sample is abnormal and issue an abnormality prompt if the first difference is less than X, wherein X is the minimum value of the radon concentration detection sample weight stored in the database; The second judgment unit is connected to the abnormality detection unit, and is used to determine that there is no abnormality in the radon concentration detection sample if the first difference is greater than or equal to X.

9. The indoor radon concentration detection and management system according to claim 6, characterized in that: The system further comprises: a detection time determination module, which is used to: S1: Determine whether the sleep time t of the indoor radon concentration detection and management system is less than the preset time period T; S2: If the sleep time t is greater than or equal to the preset time period T, it is determined that the indoor radon concentration detection is finished, and the indoor radon concentration detection management system is started; S3: If the sleep time t is less than the preset time period T, determine whether the sleep time t is less than the remaining use time t1 of the radon concentration detection sample; S4: If the dormant time t is greater than or equal to the remaining use time t1, it is determined that the radon concentration detection sample detection is completed, and steps S1 to S4 are repeatedly executed until all radon concentration detection samples are detected and the indoor radon concentration detection management system is started; S5: If the sleep time t is less than the remaining use time t1, repeat steps S1 to S5 until all radon concentration detection samples are detected, and start the indoor radon concentration detection management system.

10. The indoor radon concentration detection and management system according to claim 6, characterized in that: The data sorting and analysis module comprises: The data acquisition unit acquires the indoor radon concentration detection data and stores the current batch number, the detection sample ID and the detection data in an Excel data table; The data storage unit is connected to the data acquisition unit and saves the Excel data package to the current batch directory.

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