Underground reactor operation monitoring system and method based on sensor network

Abstract

The present invention discloses an underground reactor operation monitoring system and method based on a sensor network, which belongs to the general control system field. The present invention imports the acquired operation data of the underground reactor into an operation abnormality analysis model to perform operation abnormality analysis, conducts a comprehensive analysis of the reactor operation process by analyzing the obtained reaction abnormality analysis results and operation abnormality analysis results, and performs a reactor failure warning based on the obtained comprehensive analysis results of the reactor operation process. The present application collects the operation data of the reactor during the operation of the reactor and the composition change data of the corresponding soil layer of the underground reactor through a sensor network, and performs a comprehensive analysis of the reaction abnormality and operation abnormality on the collected data, accurately judges the operation status of the reactor and performs a reactor failure warning, thereby improving the accuracy of reactor monitoring and further ensuring the efficient and stable operation of the reactor system.

Description

Technical Field

[0001] The present invention belongs to the general field of control systems, and more specifically to an underground reactor operation monitoring system and method based on a sensor network. Background Art

[0002] With the development of agricultural intensification, the extensive use of fertilizers and pesticides has led to the loss of nutrients such as nitrogen and phosphorus from farmland, which have caused eutrophication after entering water bodies, seriously affecting the aquatic ecological environment and human health. As an eco-friendly pollution control measure, plant buffers are widely used to intercept pollutants in surface runoff and underground seepage, and reduce the entry of nutrients such as nitrogen and phosphorus into water bodies. Traditional plant buffers mainly rely on plant absorption and soil filtration, but the removal effect of nitrogen and phosphorus in underground seepage is limited, especially for nitrate nitrogen and dissolved phosphorus, there are problems of low interception efficiency and large spatial heterogeneity. The existing technology innovatively adds an underground reactor part near the roots of plants on the basis of traditional plant buffers, and enhances the interception and removal capacity of the underground part for nitrogen and phosphorus by filling specific modified materials (such as zero-valent iron), wood materials and other fillers, and artificially adding high-efficiency microbial preparations;

[0003] However, the prior art cannot monitor the operating data of the reactor in real time during the use of the underground reactor, resulting in the inability to conduct a comprehensive analysis of the abnormal reaction and operation of the reactor, the inability to accurately determine the operating state of the reactor and the inability to provide a warning of reactor failure, thereby affecting the stable operation of the reactor system. Most of the prior art have the above problems.

[0004] The above patents all have the problems raised by this background technology. In order to solve the problems raised by this background technology, this application designs an underground reactor operation monitoring system and method based on a sensor network. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention proposes an underground reactor operation monitoring system and method based on a sensor network.

[0006] To achieve the above object, the present invention provides the following technical solutions: In a first aspect, the present invention provides an underground reactor operation monitoring method based on a sensor network, which comprises the following specific steps:

[0007] The first step is to obtain the operation data of the underground reactor and the composition change data of the soil layer corresponding to the underground reactor through the sensor network;

[0008] The second step is to import the composition change data of the soil layer corresponding to the underground reactor into the reaction anomaly analysis model to perform reaction anomaly analysis;

[0009] The third step is to import the acquired operation data of the underground reactor into the operation abnormality analysis model to perform operation abnormality analysis;

[0010] Step 4: Comprehensively analyze the operation process of the reactor by analyzing the abnormal reaction analysis results and the abnormal operation analysis results;

[0011] Step 5: Provide reactor failure warning based on the comprehensive analysis results of the reactor operation process.

[0012] As a preferred technical solution of the underground reactor operation monitoring method based on the sensor network, the specific content of obtaining the operation data of the underground reactor and the composition change data of the soil layer corresponding to the underground reactor through the sensor network is:

[0013] S11, collecting operation data of the underground reactor through a data collection terminal installed on the underground reactor, wherein the operation data of the underground reactor includes temperature data, humidity data, dissolved oxygen concentration data and microbial colony growth data of the underground reactor, and storing the data in a first storage component;

[0014] It should be noted that the fillers in the reactor include: modified material layer: adding zero-valent iron (ZVI) coupling material to remove nitrate nitrogen and phosphate in groundwater by using its reduction and adsorption capacity; wood material layer: adding wood chips, sawdust and other wood materials to provide carbon sources and promote the growth of denitrifying microorganisms; active material layer: adding activated carbon, zeolite, etc. to improve the adsorption capacity of nitrogen and phosphorus; microbial colony strain selection: selecting microbial preparations such as efficient denitrifying strains and phosphate-dissolving bacteria;

[0015] S12, obtaining soil layer composition change data in the soil near the underground reactor through a soil sensor, wherein the soil layer composition change data is a nitrogen and phosphorus content change curve in the soil layer above and below the underground reactor, and storing it in a second storage component;

[0016] S13, transmitting the acquired operation data of the underground reactor and the composition change data of the soil layer to the client in real time through the sensor network.

[0017] As a preferred technical solution of the underground reactor operation monitoring method based on the sensor network, the step of importing the composition change data of the soil layer corresponding to the underground reactor into the reaction anomaly analysis model for reaction anomaly analysis includes the following specific steps:

[0018] S21, obtaining nitrogen and phosphorus content data of each soil layer above the underground reactor, and importing them into the upper layer content abnormal value calculation formula to calculate the upper layer content abnormal value, wherein the upper layer content abnormal value calculation formula is: , where Ns is the number of soil layers above the underground reactor, Ti is the average depth of the ith soil layer from the ground, a is the nitrogen content anomaly ratio, xi is the nitrogen content of the ith soil layer, xim is the median of the safe range of the nitrogen content of the soil layer, ci is the phosphorus content of the ith soil layer, and cim is the median of the safe range of the phosphorus content of the soil layer. In this formula, xi / xim is the anomaly of the nitrogen content of the ith soil layer, and ci / cim is the anomaly of the phosphorus content of the ith soil layer. Since the nitrogen and phosphorus content data have different weights on groundwater, a and 1-a are used as the weights to distinguish the nitrogen content anomaly. The soil of different soil layers has different effects on the soil layer below the underground reactor. The closer the soil is to the underground reactor, the greater the impact. Therefore, the average depth of the soil layer from the ground is used as the weight influence of different soil layers.

[0019] S22, obtaining the nitrogen and phosphorus content data below the underground reactor and importing them into the lower layer content abnormal value calculation formula to calculate the lower layer content abnormal value, wherein the lower layer content abnormal value calculation formula is: , where xz is the nitrogen content of the soil layer below the underground reactor, and cz is the phosphorus content of the soil layer below the underground reactor;

[0020] S23, obtaining the calculated abnormal value of the upper layer content and the abnormal value of the lower layer content, and substituting them into the reaction abnormal value calculation formula to calculate the reaction abnormal value, wherein the reaction abnormal value calculation formula is: ,in, is the proportion of lower layer abnormality. In this formula, the reaction efficiency of the underground reactor is accurately analyzed through the lower layer content abnormality and the elimination effect of the underground reactor on the upper layer content abnormality, which improves the analysis accuracy of the reaction abnormality of the underground reactor.

[0021] As a preferred technical solution of the underground reactor operation monitoring method based on the sensor network, the step of importing the acquired operation data of the underground reactor into the operation abnormality analysis model for operation abnormality analysis includes the following specific steps:

[0022] S31, obtaining environmental data in the real-time underground reactor, wherein the environmental data includes temperature data, humidity data and dissolved oxygen concentration data, and importing the data into a reaction environment abnormal value calculation formula to calculate the reaction environment abnormal value, wherein the reaction environment abnormal value calculation formula is: , where M is the type of environmental data, kj is the proportion of the j-th environmental data, pj is the specific value of the j-th environmental data, pjm is the median of the safety range of the j-th environmental data, pjmax is the maximum value of the safety range of the j-th environmental data, and pjmin is the minimum value of the safety range of the j-th environmental data. ;

[0023] S32, obtaining the growth density data of the required microbial colony in the underground reactor, and importing the obtained growth density data of the microbial colony into the colony growth abnormal value calculation formula to calculate the colony growth abnormal value, wherein the colony growth abnormal value calculation formula is: , where B is the number of colony types, rb is the proportion coefficient of the b-th colony, exp() is the power of the natural constant e, Yb is the growth density of the b-th colony, and Ybm is the set standard growth density of the b-th colony, where the set standard growth density is the minimum growth density that meets the needs, where, ;

[0024] S33, substituting the obtained reaction environment abnormal value and colony growth abnormal value into the operation abnormal analysis value calculation formula to calculate the operation abnormal analysis value, wherein the operation abnormal analysis value calculation formula is: .

[0025] As a preferred technical solution of the underground reactor operation monitoring method based on the sensor network, the comprehensive analysis of the reactor operation process by analyzing the reaction abnormality analysis results and the operation abnormality analysis results includes the following specific contents:

[0026] Obtain the calculated reaction abnormality value and the calculated operation abnormality analysis value and substitute them into the comprehensive abnormality analysis value calculation formula to calculate the comprehensive abnormality analysis value, wherein the comprehensive abnormality analysis value calculation formula is: , where z is the coefficient of abnormal reaction.

[0027] As a preferred technical solution of the underground reactor operation monitoring method based on the sensor network, the reactor failure warning according to the comprehensive analysis results of the reactor operation process includes the following specific contents:

[0028] Obtain the calculated comprehensive abnormality analysis value, and compare the calculated comprehensive abnormality analysis value with the set comprehensive abnormality analysis threshold. If the obtained comprehensive abnormality analysis value is greater than or equal to the set comprehensive abnormality analysis threshold, it means that the reactor has failed and needs to be replaced or maintained. If the obtained comprehensive abnormality analysis value is less than the set comprehensive abnormality analysis threshold, it means that the reactor is normal, and the monitoring results are transmitted to the management end in real time.

[0029] In a second aspect, the present invention provides an underground reactor operation monitoring system based on a sensor network, which is implemented based on the above-mentioned underground reactor operation monitoring method based on a sensor network, and specifically comprises: a data acquisition module for acquiring operation data of the underground reactor and composition change data of a soil layer corresponding to the underground reactor through the sensor network;

[0030] The reaction anomaly analysis module is used to import the composition change data of the soil layer corresponding to the underground reactor into the reaction anomaly analysis model to perform reaction anomaly analysis;

[0031] The operation abnormality analysis module is used to import the acquired operation data of the underground reactor into the operation abnormality analysis model to perform operation abnormality analysis;

[0032] The process comprehensive analysis module is used to conduct a comprehensive analysis of the reactor operation process by analyzing the abnormal reaction analysis results and the abnormal operation analysis results;

[0033] The failure warning module is used to provide a warning of reactor failure based on the comprehensive analysis results of the reactor operation process.

[0034] In a third aspect, the present invention provides an electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0035] The processor executes the above-mentioned sensor network-based underground reactor operation monitoring method by calling the computer program stored in the memory.

[0036] In a fourth aspect, the present invention provides a computer-readable storage medium storing instructions, which, when executed on a computer, enable the computer to execute the above-mentioned sensor network-based underground reactor operation monitoring method.

[0037] Compared with the prior art, the beneficial effects of this application are:

[0038] The present application obtains the operating data of the underground reactor and the composition change data of the soil layer corresponding to the underground reactor through a sensor network, imports the composition change data of the soil layer corresponding to the underground reactor into a reaction anomaly analysis model for reaction anomaly analysis, imports the acquired operating data of the underground reactor into an operation anomaly analysis model for operation anomaly analysis, conducts a comprehensive analysis of the reactor operation process by analyzing the obtained reaction anomaly analysis results and operation anomaly analysis results, and performs a reactor failure warning based on the obtained comprehensive analysis results of the reactor operation process. The present application collects the operating data of the reactor during the operation of the reactor and the composition change data of the soil layer corresponding to the underground reactor through a sensor network, performs a comprehensive analysis of the collected data on reaction anomalies and operation anomalies, accurately judges the operating status of the reactor and issues a reactor failure warning, thereby improving the accuracy of reactor monitoring and further ensuring the efficient and stable operation of the reactor system. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a schematic diagram of the overall process of the underground reactor operation monitoring method based on the sensor network of the present invention;

[0040] Figure 2 It is a schematic diagram of the second step of the underground reactor operation monitoring method based on the sensor network of the present invention;

[0041] Figure 3 This is a schematic diagram of the third step of the underground reactor operation monitoring method based on the sensor network of the present invention;

[0042] Figure 4 It is a schematic diagram of the overall framework of the underground reactor operation monitoring system based on the sensor network of the present invention;

[0043] Figure 5 It is a schematic diagram of a scene corresponding to the present invention;

[0044] Figure 6 This is a schematic diagram of data transmission according to the present invention. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is by no means intended to limit the present application and its application or use.

[0046] Example 1

[0047] The application scenarios of this application are: Figure 5 As shown, Figure 5 The schematic diagram of the corresponding scene of the present invention is that by adding a reactor part near the root of the plant buffer zone, combining different fillers (such as modified materials, wood materials) and microbial preparations, the underground part's ability to intercept and remove nitrogen and phosphorus is improved, thereby achieving above-ground and underground coordinated purification, and improving the efficiency and stability of the overall system. The present application collects the operation data of the reactor during the operation of the reactor and the composition change data of the corresponding soil layer of the corresponding underground reactor, and conducts a comprehensive analysis of the collected data for reaction anomalies and operation anomalies, accurately judges the operation status of the reactor and performs a reactor failure warning, thereby improving the accuracy of reactor monitoring;

[0048] The data transmission method of this application is as follows Figure 6As shown: the data acquisition terminal acquires the operation data of the underground reactor and the composition change data of the soil layer corresponding to the underground reactor through the sensor network, and transmits the acquired data to the server. The server imports the composition change data of the soil layer corresponding to the underground reactor into the reaction anomaly analysis model for reaction anomaly analysis, and imports the acquired operation data of the underground reactor into the operation anomaly analysis model for operation anomaly analysis. The operation process of the reactor is comprehensively analyzed by analyzing the obtained reaction anomaly analysis results and operation anomaly analysis results. According to the obtained comprehensive analysis results of the operation process of the reactor, a reactor failure warning is issued, and the warning information is transmitted to the warning terminal for warning;

[0049] In order to solve the technical problems raised in the background technology, the present invention provides a preferred embodiment: Figure 1-Figure 3 As shown, the underground reactor operation monitoring method based on the sensor network includes the following specific steps:

[0050] The first step is to obtain the operation data of the underground reactor and the composition change data of the soil layer corresponding to the underground reactor through the sensor network;

[0051] In one specific embodiment, the specific contents of obtaining the operation data of the underground reactor and the composition change data of the soil layer corresponding to the underground reactor through the sensor network are:

[0052] S11, collecting operation data of the underground reactor through a data collection terminal installed on the underground reactor, wherein the operation data of the underground reactor includes temperature data, humidity data, dissolved oxygen concentration data and microbial colony growth data of the underground reactor, and storing the data in a first storage component;

[0053] It should be noted that the fillers in the reactor include: modified material layer: adding zero-valent iron (ZVI) coupling material to remove nitrate nitrogen and phosphate in groundwater by using its reduction and adsorption capacity; wood material layer: adding wood chips, sawdust and other wood materials to provide carbon sources and promote the growth of denitrifying microorganisms; active material layer: adding activated carbon, zeolite, etc. to improve the adsorption capacity of nitrogen and phosphorus; microbial colony strain selection: selecting microbial preparations such as efficient denitrifying strains and phosphate-dissolving bacteria;

[0054] Temperature sensors and dissolved oxygen sensors are installed in the reactor to monitor the temperature and dissolved oxygen level in the reactor in real time, thereby reflecting the environmental conditions of the microorganisms;

[0055] In this embodiment, the purpose of the reactor is to enhance the denitrification process: the wood material provides a carbon source, the zero-valent iron provides an electron donor, and the denitrifying microorganisms reduce nitrate nitrogen to nitrogen gas under anaerobic conditions, thereby reducing nitrogen pollution;

[0056] Phosphorus retention and removal: Zero-valent iron reacts chemically with phosphate to form insoluble iron phosphate precipitates, which reduces the concentration of phosphorus. Fillers such as activated carbon and zeolite further retain phosphorus through adsorption.

[0057] Microbial synergy: The added microbial preparations enhance the rate and efficiency of biological reactions and improve the system's ability to remove nitrogen and phosphorus;

[0058] S12, obtaining soil layer composition change data in the soil near the underground reactor through a soil sensor, wherein the soil layer composition change data is a nitrogen and phosphorus content change curve in the soil layer above and below the underground reactor, and storing it in a second storage component;

[0059] S13, transmitting the acquired operation data of the underground reactor and the composition change data of the soil layer to the client in real time through the sensor network;

[0060] The second step is to import the composition change data of the soil layer corresponding to the underground reactor into the reaction anomaly analysis model to perform reaction anomaly analysis;

[0061] In one specific embodiment, importing the composition change data of the soil layer corresponding to the underground reactor into the reaction anomaly analysis model to perform reaction anomaly analysis includes the following specific steps:

[0062] S21, obtaining nitrogen and phosphorus content data of each soil layer above the underground reactor, and importing them into the upper layer content abnormal value calculation formula to calculate the upper layer content abnormal value, wherein the upper layer content abnormal value calculation formula is: , where Ns is the number of soil layers above the underground reactor, Ti is the average depth of the ith soil layer from the ground, a is the nitrogen content anomaly ratio, xi is the nitrogen content of the ith soil layer, xim is the median of the safe range of the nitrogen content of the soil layer, ci is the phosphorus content of the ith soil layer, and cim is the median of the safe range of the phosphorus content of the soil layer. In this formula, xi / xim is the anomaly of the nitrogen content of the ith soil layer, and ci / cim is the anomaly of the phosphorus content of the ith soil layer. Since the nitrogen and phosphorus content data have different weights on groundwater, a and 1-a are used as the weights to distinguish the nitrogen content anomaly. The soil of different soil layers has different effects on the soil layer below the underground reactor. The closer the soil is to the underground reactor, the greater the impact. Therefore, the average depth of the soil layer from the ground is used as the weight influence of different soil layers.

[0063] S22, obtaining the nitrogen and phosphorus content data below the underground reactor and importing them into the lower layer content abnormal value calculation formula to calculate the lower layer content abnormal value, wherein the lower layer content abnormal value calculation formula is: , where xz is the nitrogen content of the soil layer below the underground reactor, and cz is the phosphorus content of the soil layer below the underground reactor;

[0064] S23, obtaining the calculated abnormal value of the upper layer content and the abnormal value of the lower layer content, and substituting them into the reaction abnormal value calculation formula to calculate the reaction abnormal value, wherein the reaction abnormal value calculation formula is: ,in, is the proportion of lower layer abnormality. In this formula, the reaction efficiency of the underground reactor is accurately analyzed by the lower layer content abnormality and the elimination effect of the underground reactor on the upper layer content abnormality, which improves the analysis accuracy of the reaction abnormality of the underground reactor.

[0065] The third step is to import the acquired operation data of the underground reactor into the operation abnormality analysis model to perform operation abnormality analysis;

[0066] In one specific embodiment, importing the acquired operation data of the underground reactor into the operation abnormality analysis model to perform operation abnormality analysis includes the following specific steps:

[0067] S31, obtaining environmental data in the real-time underground reactor, wherein the environmental data includes temperature data, humidity data and dissolved oxygen concentration data, and importing the data into a reaction environment abnormal value calculation formula to calculate the reaction environment abnormal value, wherein the reaction environment abnormal value calculation formula is: , where M is the type of environmental data, kj is the proportion of the j-th environmental data, pj is the specific value of the j-th environmental data, pjm is the median of the safety range of the j-th environmental data, pjmax is the maximum value of the safety range of the j-th environmental data, and pjmin is the minimum value of the safety range of the j-th environmental data. ;

[0068] S32, obtaining the growth density data of the required microbial colony in the underground reactor, and importing the obtained growth density data of the microbial colony into the colony growth abnormal value calculation formula to calculate the colony growth abnormal value, wherein the colony growth abnormal value calculation formula is: , where B is the number of colony types, rb is the proportion coefficient of the b-th colony, exp() is the power of the natural constant e, Yb is the growth density of the b-th colony, and Ybm is the set standard growth density of the b-th colony, where the set standard growth density is the minimum growth density that meets the needs, where, ;

[0069] S33, substituting the obtained reaction environment abnormal value and colony growth abnormal value into the operation abnormal analysis value calculation formula to calculate the operation abnormal analysis value, wherein the operation abnormal analysis value calculation formula is: ;

[0070] Step 4: Comprehensively analyze the operation process of the reactor by analyzing the abnormal reaction analysis results and the abnormal operation analysis results;

[0071] In one specific embodiment, the comprehensive analysis of the reactor operation process by analyzing the obtained reaction abnormality analysis results and operation abnormality analysis results includes the following specific contents:

[0072] Obtain the calculated reaction abnormality value and the calculated operation abnormality analysis value and substitute them into the comprehensive abnormality analysis value calculation formula to calculate the comprehensive abnormality analysis value, wherein the comprehensive abnormality analysis value calculation formula is: , where z is the coefficient of abnormal reaction proportion;

[0073] Step 5: Perform reactor failure warning based on the comprehensive analysis results of the reactor operation process;

[0074] In one specific embodiment, the reactor failure warning according to the comprehensive analysis result of the reactor operation process includes the following specific contents:

[0075] Obtain the calculated comprehensive abnormal analysis value, and compare the calculated comprehensive abnormal analysis value with the set comprehensive abnormal analysis threshold. If the obtained comprehensive abnormal analysis value is greater than or equal to the set comprehensive abnormal analysis threshold, it means that the reactor has failed and needs to be replaced or maintained. If the obtained comprehensive abnormal analysis value is less than the set comprehensive abnormal analysis threshold, it means that the reactor is normal, and the monitoring results are transmitted to the management end in real time. The maintenance methods here include: adjusting the filler, the amount of microorganisms added, or keeping warm, etc.

[0076] It should be noted here that the values ​​of the nitrogen content anomaly proportion coefficient, the lower layer anomaly proportion, the proportion coefficient of the jth environmental data, the proportion coefficient of the bth colony, the reaction anomaly proportion coefficient and the comprehensive anomaly analysis threshold are determined as follows: 500 sets of underground reactor operation data and the composition change data of the soil layer corresponding to the underground reactor are obtained, and the comprehensive anomaly analysis value calculation formula is used to calculate the comprehensive anomaly analysis value, and the judgment result of whether the underground reactor has failed is obtained, and the comprehensive anomaly analysis value and the judgment result of whether the underground reactor has failed are imported into the fitting software, and the values ​​of the nitrogen content anomaly proportion coefficient, the lower layer anomaly proportion, the proportion coefficient of the jth environmental data, the proportion coefficient of the bth colony, the reaction anomaly proportion coefficient and the comprehensive anomaly analysis threshold that meet the maximum judgment accuracy are output.

[0077] The advantages of this embodiment over the prior art are as follows: the operating data of the underground reactor and the composition change data of the soil layer corresponding to the underground reactor are obtained through the sensor network, the composition change data of the soil layer corresponding to the underground reactor is imported into the reaction anomaly analysis model for reaction anomaly analysis, the operating data of the underground reactor obtained is imported into the operation anomaly analysis model for operation anomaly analysis, a comprehensive analysis of the reactor operation process is performed by analyzing the obtained reaction anomaly analysis results and the operation anomaly analysis results, and a reactor failure warning is performed based on the obtained comprehensive analysis results of the reactor operation process. The present application collects the operating data of the reactor during the operation of the reactor and the composition change data of the soil layer corresponding to the underground reactor through the sensor network, and performs a comprehensive analysis of the collected data for reaction anomalies and operation anomalies, accurately judges the operating status of the reactor and performs a reactor failure warning, thereby improving the accuracy of reactor monitoring and further ensuring the efficient and stable operation of the reactor system.

[0078] Example 2

[0079] like Figure 4 As shown, the underground reactor operation monitoring system based on the sensor network is implemented based on the above-mentioned underground reactor operation monitoring method based on the sensor network, and specifically includes: a data acquisition module for acquiring the operation data of the underground reactor and the composition change data of the soil layer corresponding to the underground reactor through the sensor network; a reaction anomaly analysis module for importing the composition change data of the soil layer corresponding to the underground reactor into the reaction anomaly analysis model for reaction anomaly analysis; an operation anomaly analysis module for importing the acquired operation data of the underground reactor into the operation anomaly analysis model for operation anomaly analysis; a process comprehensive analysis module for performing a comprehensive analysis of the reactor operation process by analyzing the obtained reaction anomaly analysis results and the operation anomaly analysis results; a failure warning module for performing a reactor failure warning based on the obtained comprehensive analysis results of the reactor operation process.

[0080] Example 3

[0081] This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0082] The processor executes the above-mentioned sensor network-based underground reactor operation monitoring method by calling the computer program stored in the memory.

[0083] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors and one or more memories, wherein the memory stores at least one computer program, and the computer program is loaded and executed by the processor to implement the underground reactor operation monitoring method based on the sensor network provided by the above method embodiment. The electronic device may also include other components for realizing the functions of the device, for example, the electronic device may also have components such as a wired or wireless network interface and an input and output interface, so as to input and output data. This embodiment will not be described in detail here.

[0084] Example 4

[0085] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;

[0086] When the computer program is executed on a computer device, the computer device is caused to execute the above-mentioned sensor network-based underground reactor operation monitoring method.

[0087] For example, the computer readable storage medium can be a read-only memory, a random access memory, a read-only CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

[0088] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When a computer instruction or computer program is loaded or executed on a computer, a process or function according to an embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. Computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center through a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

Claims

1. A method for monitoring the operation of an underground reactor based on a sensor network, characterized in that: It includes the following specific steps: The first step is to obtain the operation data of the underground reactor and the composition change data of the soil layer corresponding to the underground reactor through the sensor network; The second step is to import the composition change data of the soil layer corresponding to the underground reactor into the reaction anomaly analysis model to perform reaction anomaly analysis; It is characterized in that the specific content of the second step is: S21, obtaining nitrogen and phosphorus content data of each soil layer above the underground reactor, and importing them into the upper layer content abnormal value calculation formula to calculate the upper layer content abnormal value, wherein the upper layer content abnormal value calculation formula is: , where Ns is the number of soil layers above the underground reactor, Ti is the average depth of the ith soil layer from the ground, a is the nitrogen content abnormality ratio, xi is the nitrogen content of the ith soil layer, xim is the median of the safe range of nitrogen content in the soil layer, ci is the phosphorus content of the ith soil layer, and cim is the median of the safe range of phosphorus content in the soil layer; S22, obtaining the nitrogen and phosphorus content data below the underground reactor and importing them into the lower layer content abnormal value calculation formula to calculate the lower layer content abnormal value, wherein the lower layer content abnormal value calculation formula is: , where xz is the nitrogen content of the soil layer below the underground reactor, and cz is the phosphorus content of the soil layer below the underground reactor; S23, obtaining the calculated abnormal value of the upper layer content and the abnormal value of the lower layer content, and substituting them into the reaction abnormal value calculation formula to calculate the reaction abnormal value, wherein the reaction abnormal value calculation formula is: ,in, is the abnormal proportion of the lower layer; The third step is to import the acquired operation data of the underground reactor into the operation abnormality analysis model to perform operation abnormality analysis; The third step includes the following specific steps: S31, obtaining environmental data in the real-time underground reactor, wherein the environmental data includes temperature data, humidity data and dissolved oxygen concentration data, and importing the data into a reaction environment abnormal value calculation formula to calculate the reaction environment abnormal value, wherein the reaction environment abnormal value calculation formula is: , where M is the type of environmental data, kj is the proportion of the j-th environmental data, pj is the specific value of the j-th environmental data, pjm is the median of the safety range of the j-th environmental data, pjmax is the maximum value of the safety range of the j-th environmental data, and pjmin is the minimum value of the safety range of the j-th environmental data. ; S32, obtaining the growth density data of the required microbial colony in the underground reactor, and importing the obtained growth density data of the microbial colony into the colony growth abnormal value calculation formula to calculate the colony growth abnormal value, wherein the colony growth abnormal value calculation formula is: , where B is the number of colony types, rb is the proportion coefficient of the b-th colony, exp() is the power of the natural constant e, Yb is the growth density of the b-th colony, and Ybm is the set standard growth density of the b-th colony. ; S33, substituting the obtained reaction environment abnormal value and colony growth abnormal value into the operation abnormal analysis value calculation formula to calculate the operation abnormal analysis value, wherein the operation abnormal analysis value calculation formula is: ; Step 4: Comprehensively analyze the operation process of the reactor by analyzing the abnormal reaction analysis results and the abnormal operation analysis results; Step 5: Provide reactor failure warning based on the comprehensive analysis results of the reactor operation process.

2. The method for monitoring underground reactor operation based on a sensor network according to claim 1, characterized in that: The specific content of the first step is: S11, collecting operation data of the underground reactor through a data collection terminal installed on the underground reactor, wherein the operation data of the underground reactor includes temperature data, humidity data, dissolved oxygen concentration data and microbial colony growth data of the underground reactor, and storing the data in a first storage component; S12, obtaining composition change data of the soil layer near the underground reactor through a soil sensor, and storing the data in a second storage component; S13, transmitting the acquired operation data of the underground reactor and the composition change data of the soil layer to the client in real time through the sensor network.

3. The method for monitoring underground reactor operation based on a sensor network according to claim 1, characterized in that: The fourth step includes the following specific contents: Obtain the calculated reaction abnormality value and the calculated operation abnormality analysis value and substitute them into the comprehensive abnormality analysis value calculation formula to calculate the comprehensive abnormality analysis value, wherein the comprehensive abnormality analysis value calculation formula is: , where z is the coefficient of abnormal reaction.

4. The method for monitoring underground reactor operation based on a sensor network according to claim 1, characterized in that: The fifth step includes the following specific contents: Obtain the calculated comprehensive abnormality analysis value, and compare the calculated comprehensive abnormality analysis value with the set comprehensive abnormality analysis threshold. If the obtained comprehensive abnormality analysis value is greater than or equal to the set comprehensive abnormality analysis threshold, it means that the reactor has failed and needs to be replaced or maintained. If the obtained comprehensive abnormality analysis value is less than the set comprehensive abnormality analysis threshold, it means that the reactor is normal, and the monitoring results are transmitted to the management end in real time.

5. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; It is characterized in that the processor executes the underground reactor operation monitoring method based on the sensor network as described in any one of claims 1 to 4 by calling the computer program stored in the memory.

6. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer is caused to execute the underground reactor operation monitoring method based on a sensor network as described in any one of claims 1 to 4.

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