Water body odor sniffing traceability method and device based on multi-factor analysis and medium

Abstract

The application discloses a water body peculiar smell olfactory traceability method and device based on multi-factor analysis and a medium, and can be applied to the water body peculiar smell traceability technical field. After the peculiar smell olfactory module, the olfactory unit and the odor sampling unit which interact with the control end are respectively arranged at appropriate positions of each monitoring water area, the olfactory unit is controlled to perform odor olfaction on the monitoring water area, when the odor olfaction result shows that the odor of the corresponding monitoring water area is abnormal, the odor sampling unit in the monitoring water area is controlled to perform gas sampling to obtain a gas sample, then the target substance information detection result of the peculiar smell corresponding to the odor sample is obtained, the water quality sampling module in all the monitoring water areas is controlled to perform water body sampling to obtain a water body sample, then the water sample detection data of the odor-causing target substance is obtained, and finally, the water body peculiar smell olfactory traceability is performed according to the water sample detection data, so that the source position of the water body peculiar smell can be accurately found.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of water body odor tracing, and particularly relates to a water body odor tracing method and device based on multi-factor analysis and a medium. BACKGROUND

[0002] In the related art, with the rapid development of industry, water pollution is becoming increasingly serious. At present, in order to reduce the pollution of industrial wastewater to water resources, the discharge amount and discharge quality of industrial wastewater are monitored in real time to ensure that the discharged wastewater can meet the discharge standard. However, due to the large amount of industrial wastewater and the high operating cost of treating wastewater, some factories may build a hidden pipe in the factory area to discharge wastewater into a larger water body through the hidden pipe, or cause water pollution through illegal dumping.

[0003] At present, in order to monitor the water quality of each water body in real time, water quality automatic monitoring equipment is usually arranged at a control section of the water body to detect the water quality by automatically extracting a water quality sample; and whether the water body is polluted is determined according to the detection result of the water quality automatic monitoring equipment. However, the water quality automatic monitoring equipment mainly monitors the conventional indexes in the water. When new pollutants, especially odor-causing substances, are generated in the wastewater or in the polluted water body, the water quality automatic monitoring equipment cannot detect the new substances. Therefore, when the water body is polluted by odor-causing substances, the detection data of the water quality automatic monitoring equipment cannot be used for early warning, and the source position of the odor in the water body cannot be found.

[0004] To sum up, the technical problems in the related art need to be improved. SUMMARY

[0005] The main purpose of the embodiments of the present application is to provide a water body odor tracing method and device based on multi-factor analysis, which can accurately find the source position of the odor in the water body.

[0006] To achieve the above purpose, one aspect of the embodiments of the present application provides a water body odor tracing method based on multi-factor analysis, which is applied to a control end, the control end interacts with an odor tracing module and a water quality sampling module, and the odor tracing module and the water quality sampling module are arranged at appropriate positions of a monitoring water area. Each odor tracing module in the monitoring water area includes an odor tracing unit and an odor sampling unit. The method includes the following steps:

[0007] The odor tracing unit is controlled to perform odor tracing on the monitoring water area; the monitoring water area is divided from a target water area; and the target water area is divided into a plurality of monitoring water areas according to water environment state information of the target water area;

[0008] When the smell of the monitoring water area is determined to be abnormal according to the smell identification result, the gas sampling unit in the monitoring water area is controlled to sample gas to obtain a gas sample;

[0009] The detection result corresponding to the gas sample is obtained, and the detection result includes target substance information of the odor;

[0010] The water sampling module in all the monitoring water areas is controlled to sample water to obtain a water sample;

[0011] Water sample detection data of the target substance content corresponding to the target substance information is obtained from the water sample;

[0012] Water odor identification traceability is performed according to the water sample detection data.

[0013] In some embodiments, each of the odor identification modules further includes a detection unit, and before the control of the smell identification unit to identify the smell of the monitoring water area, the method further includes the following steps:

[0014] The detection unit is controlled to detect the working state of the smell identification unit.

[0015] In some embodiments, each of the detection units includes a plurality of smell boxes, and the smells stored in the smell boxes are different.

[0016] In some embodiments, the control of the detection unit to detect the working state of the smell identification unit includes:

[0017] Any number of the smell boxes are controlled to be in an open state for a preset number of times;

[0018] The smell identification first data of the smell identification unit at each time when the smell box is in the open state is obtained;

[0019] The state index corresponding to the smell identification unit is calculated according to all the smell identification first data;

[0020] The working state of the smell identification unit is analyzed according to the state index.

[0021] In some embodiments, the calculation formula of the state index is as follows:

[0022]

[0023] In the formula, Q s represents the state index; N represents the number of smell boxes; M represents the number of smell boxes opened at the same time each time; K represents the preset number of times; P0 represents the preset number of possibilities; R represents the correct number of times that the smell identification first data determines the smell identification unit to judge the smell corresponding substance name; and C1 is a first preset constant.

[0024] In some embodiments, the working state analysis of the olfactory discrimination unit according to the state index comprises:

[0025] obtaining a state preset threshold range corresponding to the olfactory discrimination unit, the state preset threshold range comprising a first lower limit value and a first upper limit value;

[0026] when the state index is less than the first lower limit value, determining that the working state of the olfactory discrimination unit is in an abnormal state;

[0027] when the state index is greater than or equal to the first lower limit value and less than or equal to the first upper limit value, determining that the working state of the olfactory discrimination unit is in a normal state;

[0028] when the state index is greater than the first upper limit value, determining that the working state of the olfactory discrimination unit is in a good state.

[0029] In some embodiments, the water body odor source tracing according to the water sample detection data comprises:

[0030] when the water sample detection data is equal to a first water quality preset threshold value, determining that there is no water body odor source for the current odor;

[0031] when the water sample detection data is greater than a second water quality preset threshold value, tracing the water body odor source according to the monitoring water area corresponding to the water sample detection data.

[0032] In some embodiments, each of the monitoring water areas is further provided with a water flow monitoring module, and the water body odor source tracing according to the monitoring water area corresponding to the water sample detection data comprises:

[0033] obtaining water flow monitoring data of the monitoring water area monitored by the water flow monitoring module, the water flow monitoring data comprising water flow speed and water flow direction;

[0034] tracing the water body odor source according to the monitoring water area corresponding to the water sample detection data in combination with the water flow monitoring data.

[0035] To achieve the above-mentioned purposes, another aspect of the embodiments of the present application proposes a computer device, comprising:

[0036] at least one processor;

[0037] at least one memory for storing at least one program;

[0038] when the at least one program is executed by the at least one processor, the at least one processor implements the above-mentioned method.

[0039] To achieve the above object, another aspect of the embodiment of the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the above method.

[0040] The embodiment of the present application at least has the following beneficial effects: the present application provides a water body odor sniffing traceability method and device and medium based on multi-factor analysis, the scheme divides the target water area into several monitoring water areas according to the water area environment state information of the target water area, then sets the odor sniffing module and the water quality sampling module which interact with the control end in the appropriate position of each monitoring water area, at the same time, sets the sniffing unit and the odor sampling unit in the odor sniffing module, when the water body odor sniffing traceability is needed, the sniffing unit is controlled to sniff the odor of the monitoring water area, then when the odor of the monitoring water area corresponding to the sniffing unit is determined to be abnormal according to the odor sniffing result, the odor sampling unit in the monitoring water area is controlled to sample the gas to obtain the gas sample, then the target substance information detection result of the odor sample corresponding to the odor is obtained, the water quality sampling module in all monitoring water areas is controlled to sample the water body to obtain the water body sample, then the detection data of the odor-causing target substance water sample is obtained, finally, the water body odor sniffing traceability is performed according to the water sample detection data. The embodiment analyzes the content of the substance causing the odor in the water body, and combines the division result of the target water area to perform the water body odor sniffing traceability, so that the source position of the water body odor can be accurately found. BRIEF DESCRIPTION OF DRAWINGS

[0041] Figure 1 is an application scenario diagram of the water body odor sniffing traceability method based on multi-factor analysis provided by the embodiment of the present application;

[0042] Figure 2 is a flowchart of the water body odor sniffing traceability method based on multi-factor analysis provided by the embodiment of the present application. DETAILED DESCRIPTION

[0043] In order to make the object, technical scheme and advantages of the present application more clear, the present application is further described in detail below in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the present application. When the following description relates to the drawings, the same numerals in different drawings represent the same or similar elements unless otherwise indicated. The implementation described in the following exemplary embodiments does not represent all the implementations consistent with the embodiments of the present application, but is only an example of devices and methods consistent with some aspects of the embodiments of the present application.

[0044] It can be understood that the terms "first", "second", and the like used in the present application can be used herein to describe various concepts, but unless specifically stated, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another. For example, without departing from the scope of the embodiments of the present application, the first information can also be referred to as the second information, and similarly, the second information can also be referred to as the first information. Depending on the context, the word "if" as used herein can be interpreted as "when" or "upon determining" or "in response to determining".

[0045] The terms "at least one", "multiple", "each", "any", and the like used in the present application include one, two or more than two, multiple includes two or more than two, each refers to each of the corresponding multiple, and any refers to any one of the multiple.

[0046] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as understood by a person skilled in the art to which the present application belongs. The terms used herein are only for the purpose of describing the embodiments of the present application and are not intended to limit the present application.

[0047] In the related art, in order to be able to monitor the water quality of each water body in real time, a water quality automatic monitoring device is usually arranged at a control section of the water body, and the water quality is detected by automatically extracting a water quality sample; whether the water body is polluted is determined according to the detection result of the water quality automatic monitoring device. However, the water quality automatic monitoring device usually mainly monitors the conventional indexes in the water. However, when there are new pollutants in the wastewater or new pollutants are generated in the polluted water body, especially the substances easy to cause odor, the water quality automatic monitoring device is difficult to detect the corresponding new substances, and therefore when the water body is polluted by the odor substances, the detection data of the water quality automatic monitoring device cannot be used for early warning, and the source position of the odor of the water body cannot be found.

[0048] Therefore, in the embodiments of the present application, a water body odor sniffing source tracing method and device based on multi-factor analysis and a medium are provided, which can accurately find the source position of the odor of the water body.

[0049] The embodiments of the present application will be described in detail below with reference to the accompanying drawings:

[0050] Figure 1 is an application scenario diagram of a water body odor sniffing source tracing method based on multi-factor analysis provided by the embodiments of the present application. From the above description, it can be seen that the water body odor sniffing source tracing method based on multi-factor analysis provided by the embodiments of the present application can accurately find the source position of the odor of the water body. Figure 1As can be seen, after determining the target water area to be monitored, this embodiment can divide the target water area into several monitoring water areas based on the water environment status information of the target water area. For example, when determining the odor occurrence area, the area is used as the center, and the division extends upstream in conjunction with the water flow direction. If a tidal river section is involved, both upstream and downstream areas are considered for the overall division of the target area. Specifically, the planar division of the monitoring water area can consider the distribution of tributary confluences, bridges, islands, sewage outlets, and pollution sources, generally with no fewer than three monitoring sections. The vertical measurement point setting of the monitoring water area can consider the river width and water depth, generally setting sampling vertical lines in the left and middle reaches, and vertical measurement points in the upper, middle, and lower reaches. Specifically, when the water surface is narrow and the water depth is shallow, it can be appropriately simplified according to the actual situation.

[0051] from Figure 1 As can be seen, in this embodiment, after dividing the target water area into several monitoring water areas, an odor detection module and a water quality sampling module for interaction with the control terminal are set at appropriate locations in each monitoring water area. The appropriate location can be the middle location or any other location, determined according to time constraints, to facilitate installation and maintenance, minimize or eliminate human interference, and not significantly affect the navigation or other functions of the water area. The odor detection module can further include an odor detection unit and an odor sampling unit. Specifically, the odor detection unit is used to detect odors within the corresponding monitoring water area. The odor sampling unit is used to collect odor samples within the corresponding monitoring water area. The water quality sampling module is used to collect water samples within the corresponding monitoring area. This embodiment, by setting different functional modules in each monitoring area, allows for real-time data collection through the corresponding functional modules, effectively improving the real-time performance and accuracy of data acquisition.

[0052] Understandable, Figure 1 The control terminal can be a server or a controller corresponding to a cloud platform. In this embodiment, the control terminal is used to interact with the odor detection module and water quality sampling module in each monitored water area. Specifically, the control terminal can send control commands to the odor detection module or water quality sampling module to control the operation of the corresponding module. It can also receive data returned by the odor detection module or water quality sampling module, and then perform odor analysis and odor source tracing in the monitored water area based on the returned data.

[0053] In the embodiments of this application, it is applied to Figure 1 Taking the control terminal shown as an example, as Figure 2 As shown, the water odor identification and source tracing method based on multi-factor analysis in this embodiment may include, but is not limited to, steps S210 to S260:

[0054] Step S210: Control the olfactory unit to perform odor detection on the monitored water area;

[0055] Step S220, when the smell of the smell unit is determined according to the smell of the smell unit corresponding to the monitoring water area, the smell sampling unit in the monitoring water area is controlled to sample the gas to obtain the gas sample;

[0056] Step S230, obtaining the detection result corresponding to the gas sample, wherein the detection result includes the target substance information of the odor;

[0057] Step S240, control all water quality sampling modules in the monitoring water area to sample the water body to obtain the water sample;

[0058] Step S250, obtaining the water sample detection data of the target substance content corresponding to the target substance information of the water sample;

[0059] Step S260, according to the water sample detection data, the water body odor smell traceability is carried out.

[0060] It can be understood that when the target water area needs to be monitored and traced for odor, the smell unit in all monitoring water areas can be controlled to smell the odor in the corresponding monitoring water area. When it is determined according to the smell of the smell unit that there is no smell abnormality in all monitoring water areas, it indicates that there is no water pollution in the target water area. When it is determined according to the smell of the smell unit that there is an odor abnormality in one of the monitoring water areas, it indicates that there may be water pollution in the target water area or there is an illegal pollution operation in the target water area. Therefore, the embodiment controls the gas sampling unit in the monitoring water area with odor abnormality to sample the gas to obtain the gas sample.

[0061] Specifically, after obtaining the gas sample, in order to more accurately determine the target substance information of the gas sample, the embodiment can bring the gas sample back to the laboratory for substance analysis by the corresponding staff to generate the detection result including the target substance information of the odor. Thus, the accuracy of the substance analysis in the gas sample can be improved by using the equipment in the laboratory. At the same time, the water quality sampling module in all monitoring water areas can also be controlled to sample the water body to obtain the water sample, and the water sample is also brought back to the laboratory for water body substance analysis to obtain the water body detection data of all substance content information in the water sample. Then, the content of the target substance corresponding to the target substance information can be determined from the water body detection data. Then, based on the corresponding water body detection data of each monitoring, the source position of the water body odor can be analyzed.

[0062] It can be understood that since the smell unit is set in the water area for a long time, the smell unit is prone to work failure. Based on this, Figure 1As shown in the figure, each off-flavor olfactory discrimination module is further provided with a detection unit. Specifically, before controlling the olfactory discrimination unit to perform odor discrimination on the monitored water area, the detection unit is first controlled to detect the working state of the olfactory discrimination unit to determine whether the olfactory discrimination unit can work normally. If the olfactory discrimination unit cannot work normally, a prompt information is generated to prompt the relevant staff to maintain the olfactory discrimination unit in time; if the olfactory discrimination unit can work normally, the olfactory discrimination unit is continuously controlled to perform odor discrimination on the monitored water area. In this embodiment, the working state of the olfactory discrimination unit is detected by the detection unit, so that the timeliness of odor discrimination can be improved.

[0063] In the embodiments of the present application, as shown in the figure, Figure 1 Each detection unit can be composed of a plurality of odor boxes, and each odor box contains different odors. It can be understood that the odor in the odor box can be the odor of the common water body producing off-flavor. In this embodiment, the odor boxes containing different odors are provided, so that the olfactory discrimination unit can judge whether it can work normally by detecting the gas in the odor box, effectively simplifying the workload of working state detection.

[0064] It can be understood that when the detection unit detects the working state of the olfactory discrimination unit, any number of odor boxes can be controlled to be in an open state for a preset number of times, and then the first olfactory discrimination data of the olfactory discrimination unit when each odor box is in an open state is obtained; then the state index corresponding to the olfactory discrimination unit is calculated according to all the first olfactory discrimination data, and the working state of the olfactory discrimination unit is analyzed according to the state index. For example, assuming that there are 10 odor boxes, 4 odor boxes can be opened, and the first olfactory discrimination data 1 of the olfactory discrimination unit when the 4 odor boxes are in an open state is obtained; 3 odor boxes are opened, and the first olfactory discrimination data 2 of the olfactory discrimination unit when the 3 odor boxes are in an open state is obtained; 6 odor boxes are opened, and the first olfactory discrimination data 3 of the olfactory discrimination unit when the 6 odor boxes are in an open state is obtained; 9 odor boxes are opened, and the first olfactory discrimination data 4 of the olfactory discrimination unit when the 9 odor boxes are in an open state is obtained; 10 odor boxes are opened, and the first olfactory discrimination data 5 of the olfactory discrimination unit when the 10 odor boxes are in an open state is obtained. Then the state index corresponding to the olfactory discrimination unit is calculated based on the first olfactory discrimination data 1, the first olfactory discrimination data 2, the first olfactory discrimination data 3, the first olfactory discrimination data 4 and the first olfactory discrimination data 5, and then the working state of the olfactory discrimination unit can be analyzed according to the state index.

[0065] It can be understood that the calculation formula of the state index is as follows:

[0066]

[0067] In the formula, Q srepresents a state index; N represents the number of odor boxes; M represents the number of odor boxes opened simultaneously each time; K represents a preset number of times; P0 represents a preset number of possibilities; R represents the number of times the olfactory recognition unit correctly determines the name of the substance corresponding to the odor based on the first olfactory recognition data; and C1 is a first preset constant.

[0068] Specifically, in the above formula, is the accuracy rate of the olfactory recognition unit in determining the name of the substance corresponding to the odor after a preset number of times of olfactory recognition. As can be seen from the above, the first olfactory recognition data 1, the second olfactory recognition data 2, the third olfactory recognition data 3, the fourth olfactory recognition data 4, and the fifth olfactory recognition data 5 can be compared with the odor in the odor box in the open state, respectively, and then the number of times of normal olfactory recognition can be determined. Therefore, the higher the accuracy rate of the olfactory recognition unit in determining the name of the substance corresponding to the odor after a preset number of times of olfactory recognition, the better the state of the olfactory recognition unit, and the larger the olfactory recognition unit state index Q s the lower the accuracy rate of the olfactory recognition unit in determining the name of the substance corresponding to the odor, the worse the state of the olfactory recognition unit, and the smaller the olfactory recognition unit state index Q s N*(N-1)*…*(N-M+1) is the number of possibilities of opening M odor boxes simultaneously each time in all odor boxes, the more the possibilities, the greater the difficulty of olfactory recognition of the olfactory recognition unit, and [N*(N-1)*…*(N-M+1)] K [N*(N-1)*…*(N-M+1)] is the number of possibilities of opening M odor boxes simultaneously each time in all odor boxes and a preset number of times, and [N*(N-1)*…*(N-M+1)] K P0 is the difference between the number of possibilities of opening M odor boxes simultaneously each time in all odor boxes and a preset number of times and the preset number of possibilities; when the difference between the number of possibilities of opening M odor boxes simultaneously each time in all odor boxes and a preset number of times and the preset number of possibilities is [N*(N-1)*…*(N-M+1)] K P0>0, indicating that the difficulty of olfactory recognition of the olfactory recognition unit is greater, the greater the difficulty, the lower the accuracy rate, and the difference between the number of possibilities of opening M odor boxes simultaneously each time in all odor boxes and a preset number of times and the preset number of possibilities [N*(N-1)*…*(N-M+1)] K P0, the accuracy rate of determining the name of the substance corresponding to the odor should be increased; when the difference between the number of possibilities of opening M odor boxes simultaneously each time in all odor boxes and a preset number of times and the preset number of possibilities is [N*(N-1)*…*(N-M+1)] P0>0, the accuracy rate of determining the name of the substance corresponding to the odor should be increased; when the difference between the number of possibilities of opening M odor boxes simultaneously each time in all odor boxes and a preset number of times and the preset number of possibilities is [N*(N-1)*…*(N-M+1)] K-P0<0, it indicates that the current olfactory discrimination unit has a small olfactory discrimination difficulty, the smaller the difficulty, the higher the accuracy, the difference between the number of possibilities of opening M odor boxes at the same time in all odor boxes and the preset number of possibilities for a predetermined number of times [N*(N-1)*…*(N-M+1)] K The greater the absolute value of P0, the greater the accuracy of the judgment of the odor corresponding substance name should be reduced.

[0069] In addition, the preset number K, the preset number of possibilities P0 and the first preset constant C1 in the embodiment are all preset values, which can be determined according to experience or adjusted according to actual conditions.

[0070] It can be understood that after the state index of the olfactory discrimination unit is calculated, the working state of the olfactory discrimination unit can be analyzed according to the state index. Specifically, after the state preset threshold range [R1, R2] including the first lower limit value and the first upper limit value corresponding to the olfactory discrimination unit is obtained, when the state index is less than the first lower limit value, it indicates that the state index of the olfactory discrimination unit is low, and the working state of the olfactory discrimination unit is very poor, therefore, it is determined that the working state of the olfactory discrimination unit is in an abnormal state and cannot work normally, at this time, the working personnel can be provided for maintenance through the pre-warning mode; when the state index is greater than or equal to the first lower limit value and less than or equal to the first upper limit value, it indicates that the state index of the olfactory discrimination unit is high, and the state of the olfactory discrimination unit is general, therefore, it is determined that the working state of the olfactory discrimination unit is in a normal state and can work normally; when the state index is greater than the first upper limit value, it indicates that the state index Q s is very high, therefore, it is determined that the working state of the olfactory discrimination unit is in a good state and can effectively perform the odor discrimination operation.

[0071] It can be understood that after it is determined that the monitored water area has an odor abnormality, the water body sample in the related monitored water area can be obtained to further analyze whether the same substance content as the odor-causing substance exists in the water body. Therefore, after the water sample detection data corresponding to the water body sample is obtained, the water body odor discrimination traceability is performed according to the water sample detection data. Specifically, when the water sample detection data is equal to the first water quality preset threshold, it is determined that the current odor has no water body odor source; when the water sample detection data is greater than the second water quality preset threshold, the water body odor discrimination traceability is performed according to the monitored water area corresponding to the water sample detection data. In the embodiment, the first water quality preset threshold can be 0, and the second water quality preset threshold can be 1. The first water quality preset threshold and the second water quality preset threshold can also be adjusted to other constants according to actual conditions, such as considering the detection limit and the olfactory threshold. When the water sample detection data is between the first water quality preset threshold and the second water quality preset threshold, it can be judged that the monitored water area is the flowing water area where the odor-causing substance is generated.

[0072] In the embodiments of the present application, the migration process of the odor-causing substance is affected by the water flow speed and the water flow direction. Therefore, as shown in Figure 1 each suitable position for monitoring the water area is also provided with a water flow monitoring module to detect the water flow speed and the water flow method of the corresponding monitoring water area as water flow monitoring data. After obtaining the water flow monitoring data, the embodiments determine the source position of the water body odor in combination with the monitoring water area corresponding to the water sample detection data. Exemplarily, when monitoring a still lake, the water flow direction of the lake hardly affects the flow of the substance because the water flow speed of the lake is slow. Therefore, the water body odor tracing can be performed according to the content of the odor-causing substance contained in the water body sample in different monitoring water areas. When monitoring a river with flowing water, the water flow speed and the water flow direction both affect the flow speed and the flow direction of the substance in the water body. Therefore, when performing the water body odor tracing, the flow speed and the flow direction of the substance in the water body can be determined in combination with the size of the water flow speed and the water flow direction, and then the source position of the odor-causing substance can be determined in combination with the content of the odor-causing substance contained in different monitoring water areas, thereby effectively improving the accuracy of the water body odor tracing.

[0073] In conclusion, in the embodiments of the present application, the smell of the monitoring water area unit corresponding to each olfactory discrimination unit is discriminated in real time, and it is judged whether the smell is abnormal. If the olfactory discrimination unit judges that the smell is abnormal, the gas sampling unit of the target water area unit samples the gas, and the water quality sampling module of all monitoring water area units samples each monitoring water area unit. The water quality sample at the time of the odor is saved, so that the subsequent determination of the source position of the water body odor is more accurate. After the relevant staff members transport the gas sample and the water quality sample of each monitoring water area unit back to the laboratory, the specific odor-causing substance is detected by detecting the sampled gas sample, and the substance is set as the target substance. Then, the substance content of the water body sample in each monitoring water area is detected, and the concentration of the target substance in each monitoring water area unit is obtained. Finally, whether there is a source position of the water body odor is judged according to the concentration of the target substance in each monitoring water area. When the concentration of the target substance in the water sample detection data is equal to the first water quality preset threshold, it is indicated that there is no target substance in each monitoring water area unit, and therefore there is no source position of the water body odor. When the concentration of the target substance in the water sample detection data is greater than the second water quality preset threshold, it is indicated that there is a target substance in each monitoring water area unit, and therefore there is a source position of the water body odor. In some embodiments, when it is determined that there is a source position of the water body odor, the relevant staff members perform the source position investigation of the water body odor of the monitoring water area, and thus the source position of the water body odor can be determined in time and effectively.

[0074] The embodiment of the present application further provides a computer device, which comprises a memory and a processor, the memory stores a computer program, and the processor realizes the method when executing the computer program. The computer device can be any intelligent terminal, such as a tablet computer, an on-board computer, etc.

[0075] It can be understood that the contents in the method embodiments are applicable to the device embodiments, the device embodiments specifically realize the functions of the method embodiments, and achieve the same beneficial effects as the method embodiments.

[0076] The embodiment of the present application further provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the method.

[0077] It can be understood that the contents in the method embodiments are applicable to the storage medium embodiments, the storage medium embodiments specifically realize the functions of the method embodiments, and achieve the same beneficial effects as the method embodiments.

[0078] The embodiments described in the present application are used to more clearly illustrate the technical solutions of the present application, and do not constitute a limitation on the technical solutions provided by the present application. Those skilled in the art can know that, with the evolution of technology and the appearance of new application scenarios, the technical solutions provided by the present application are also applicable to similar technical problems.

[0079] Those skilled in the art can understand that the technical solutions shown in the figures do not constitute a limitation on the present application, and can include more or fewer steps than the figures shown, or combine certain steps, or different steps.

[0080] The device embodiments described above are only schematic, and the units described as separate components can or can not be physically separate, that is, they can be located in one place, or distributed on multiple network units. According to actual needs, part or all of the modules can be selected to realize the purposes of the present embodiment.

[0081] Those skilled in the art can understand that all or some steps in the method disclosed above, the functions of the modules / units in the system and the device can be implemented as software, firmware, hardware and their appropriate combinations.

[0082] The terms "first", "second", "third", "fourth", and the like in the description and in the claims of this application, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the use of the terms so termed is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of orderly or chronological mundane operation, reverse order operation, based on circuitry availability, based on stated preference or the like, and that "default" or other orderings are thus permissible. Further, the terms "comprise", "comprising", "include", "including", and the like, are specifically intended to be open-ended. That is, references to individual steps and the like do not suhstantially exclude the presence of two or more of a recited step or its integral sub-steps or additional steps whether or not readily ascertainable from the description or the like.

[0083] It should be understood that, in the application, "at least one" means one or more, and "multiple" means two or more. "And / or", used to describe the relationship between associated objects, means that there can be three relationships, for example, "A and / or B" can mean: only A, only B, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally represents an "or" relationship between the associated objects. "At least one of the following" or the like means any combination of these items, including single or multiple combinations of any combination. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0084] In several embodiments provided in the application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only illustrative, for example, the division of the above-mentioned units is only a logical functional division, and actual implementation can have another division manner, for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed each other can be indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0085] The units described above as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, that is, they can be located in one place, or they can be distributed on multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment of the application.

[0086] In addition, each of the functional units in the various embodiments of the present application can be integrated in one processing unit, or each of the units can exist physically, or two or more units can be integrated in one unit. The integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0087] The preferred embodiments of the present application are described above with reference to the accompanying drawings, and are not intended to limit the scope of the present application. Any modification, equivalent replacement and improvement made by those skilled in the art without departing from the scope and spirit of the present application shall fall within the scope of the present application.

Claims

1. A method for odor sniffing traceability of water body based on multi-factor analysis, characterized in that, The method is applied to a control end which interacts with an odor sniffing module and a water quality sampling module respectively, the odor sniffing module and the water quality sampling module are arranged at appropriate positions of monitoring water areas, the odor sniffing module in each monitoring water area comprises a sniffing unit, an odor sampling unit and a detection unit, each detection unit comprises a plurality of odor boxes, odors stored in the odor boxes are different, and the method comprises the following steps: controlling the detection unit to detect the working state of the sniffing unit; determining that the working state of the sniffing unit is in a good state, and controlling the sniffing unit to perform odor sniffing on the monitoring water area; the monitoring water area is divided from a target water area; the target water area is divided into a plurality of monitoring water areas according to water environment state information of the target water area; when it is determined that the odor sniffing result of the sniffing unit corresponds to an odor abnormality of the monitoring water area, controlling the odor sampling unit in the monitoring water area to perform gas sampling to obtain a gas sample; obtaining a detection result corresponding to the gas sample, the detection result comprising target substance information of an odor source; controlling the water quality sampling module in all the monitoring water areas to perform water sampling to obtain a water sample; obtaining water sample detection data of a target substance content corresponding to the target substance information of the water sample; performing water odor sniffing traceability according to the water sample detection data; wherein the control of the detection unit to detect the working state of the sniffing unit comprises: controlling any number of the odor boxes to be in an open state repeatedly for a preset number of times; obtaining sniffing first data of the sniffing unit when each of the odor boxes is in the open state; calculating a state index corresponding to the sniffing unit according to all the sniffing first data; performing working state analysis of the sniffing unit according to the state index; the calculation formula of the state index is as follows: ； In the formula, represents the state index; represents the number of odor boxes; represents the number of odor boxes opened at the same time each time; represents the preset number of times; represents the preset number of possibilities; represents the number of times that the first data determined by the olfactory discrimination unit correctly judges the name of the substance corresponding to the odor; is a first preset constant.

2. The method of claim 1, wherein, the working state analysis of the sniffing unit according to the state index comprises: obtaining a state preset threshold range corresponding to the sniffing unit, the state preset threshold range comprising a first lower limit value and a first upper limit value; when the state index is less than the first lower limit value, determining that the working state of the sniffing unit is in an abnormal state; when the state index is greater than or equal to the first lower limit value and less than or equal to the first upper limit value, determining that the working state of the sniffing unit is in a normal state; when the state index is greater than the first upper limit value, determining that the working state of the sniffing unit is in a good state.

3. The method of claim 1, wherein, the water odor sniffing traceability according to the water sample detection data comprises: when the water sample detection data is equal to a first water quality preset threshold value, determining that there is no water odor source of a current odor; when the water sample detection data is greater than a second water quality preset threshold value, performing water odor sniffing traceability on the monitoring water area corresponding to the water sample detection data.

4. The method of claim 3, wherein, each monitoring water area is further provided with a water flow monitoring module, and the water odor sniffing traceability according to the monitoring water area corresponding to the water sample detection data comprises: Obtaining water flow monitoring data of the water flow monitoring module monitoring the monitoring water area, the water flow monitoring data including water flow speed and water flow direction; According to the monitoring water area corresponding to the water sample detection data, combining the water flow monitoring data to perform water body peculiar smell olfactory traceability.

5. A computer apparatus, characterized in that, Comprise: At least one processor; At least one memory for storing at least one program; When the at least one program is executed by the at least one processor, so that the at least one processor implements the method of any one of claims 1 to 4.

6. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 5. The computer program is executed by the processor to implement the method of any one of claims 1 to 4. The computer program is executed by the processor to implement the method of any one of claims 1 to 4.

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