CN113125659A - Water quality monitoring platform - Google Patents
Water quality monitoring platform Download PDFInfo
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- CN113125659A CN113125659A CN201911402772.7A CN201911402772A CN113125659A CN 113125659 A CN113125659 A CN 113125659A CN 201911402772 A CN201911402772 A CN 201911402772A CN 113125659 A CN113125659 A CN 113125659A
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Abstract
The invention relates to a water quality monitoring platform, which comprises an acquisition module, a water quality monitoring module and a control module, wherein the acquisition module is used for acquiring water quality detection data of a target water area, which is detected by water quality detection equipment arranged in the target water area in real time; the processing module is used for analyzing the water quality detection data collected by the collection module; and the alarm module is used for alarming the water quality of the target water area under the condition that the processing module analyzes that the water quality detection data is abnormal. The method can quickly and accurately trace the pollution discharge sensitive point position of the target water area from space and time, can meet the requirement of remote online monitoring of water pollution early warning and pollution discharge tracing of water management personnel, simplifies the operation process, and endows management requirements with real-time performance.
Description
Technical Field
The present disclosure relates to water quality monitoring platforms, and more particularly to a water quality monitoring platform for monitoring water quality and/or a state of a water quality detecting device.
Background
In the traditional water quality monitoring, workers usually go to a field to take water samples and bring the water samples back to a laboratory for analysis, and the results can be obtained only in 1 to 5 days, so that the pollution discharge behavior can not be stopped in time. In addition, for the condition of night stealing and rain and sewage mixed flow, the condition is difficult to find and process in time by the traditional person patrol method.
Disclosure of Invention
In view of this, the present disclosure provides a water quality monitoring platform.
According to an aspect of the present disclosure, there is provided a water quality monitoring platform, comprising:
the acquisition module is used for acquiring water quality detection data of a target water area, which is detected by water quality detection equipment arranged in the target water area in real time;
the processing module is used for analyzing the water quality detection data collected by the collection module;
and the warning module is used for warning the water quality of the target water area under the condition that the processing module analyzes that the water quality detection data are abnormal.
In a possible implementation manner, the acquisition module is further configured to acquire status data of the water quality detection device.
In a possible implementation manner, the processing module is further configured to analyze the state data; the alarm module is also used for giving an alarm to the water quality detection equipment under the condition that the processing module analyzes that the water quality detection equipment is abnormal.
In one possible implementation, the water quality monitoring platform further comprises: and the interaction module is used for sending a notice for processing the abnormal water quality detection equipment to a user under the condition that the alarm module alarms the water quality detection equipment.
In one possible implementation, the water quality monitoring platform further comprises:
the storage module is used for storing user information and equipment information, wherein the user information is information related to a user in charge of the target water area, and the equipment information is information related to water quality detection equipment arranged in the target water area;
the distribution module is used for distributing work tasks to all users in charge of the target water area according to the user information and the equipment information;
and the feedback module is used for receiving feedback information aiming at the abnormal water quality detection equipment or the abnormal water quality detection data from the user after the user receiving the work task processes the abnormal water quality detection equipment or the abnormal water quality detection data.
In one possible implementation, the processing module is configured to: dividing the target water area into a plurality of groups according to the flow direction of the water area, wherein each group comprises a plurality of sections; analyzing the water quality detection data of each section; and the alert module is configured to: and under the condition that the processing module analyzes that the water quality detection data of more than two sections in one group are abnormal, alarming the water quality of the group.
In one possible implementation, the profile includes at least one sampling point whose position and number are determined according to the depth of a sampling vertical line determined based on the width of the water surface of the target water area;
wherein, when the width of the water surface is less than or equal to a first threshold value or the water quality of the cross section is uniform, the sampling vertical line is set as a middle body vertical line; in the case that the width of the water surface is larger than the first threshold, the sampling vertical line is set to a plurality of sampling vertical lines based on the water flow condition;
under the condition that the water depth of the sampling vertical line is less than or equal to a second threshold value, the number of the sampling points is one, and the positions of the sampling points are at a first depth from the water surface on the sampling vertical line; and under the condition that the water depth of the sampling vertical line is greater than the second threshold value, the number of the sampling points is at least two, and the positions of the sampling points are at positions on the sampling vertical line, which are greater than and/or equal to a first depth from the water surface.
In one possible implementation, the alert module is configured to: and under the condition that the alarm module gives an alarm, if the water quality data based on the alarm is detected by abnormal water quality detection equipment, deleting the alarm and not pushing the alarm to a user.
In one possible implementation, the water quality monitoring platform further comprises: and the playback module is used for displaying the water quality detection data of each section in the group.
In one possible implementation, the alarm module is further configured to classify the alarm for the water quality of the group according to the degree of abnormality of the water quality detection data in the group, and the playback module is configured to: and displaying the water quality detection data of each section in the group, the detection time of the water quality detection data, the equipment information of the water quality detection equipment of the water quality detection data, and the type of the alarm aiming at the water quality of the group.
In one possible implementation, the water quality monitoring platform further comprises: the control module is used for judging whether the alarm meets a preset condition or not under the condition that the alarm module gives an alarm, and pushing the alarm to a user under the condition that the alarm meets the preset condition, wherein the control module pushes the alarm to the user through at least one of an application program, a webpage, an email and a short message.
In one possible implementation, the water quality monitoring platform further comprises: the display module is used for displaying water quality detection data of a water area and/or state data of water quality detection equipment corresponding to the authority of a user to the user logging in the water quality monitoring platform, wherein the water quality detection data of the water area comprise real-time water quality detection data and historical water quality detection data of the water area, and the display module displays the water quality detection data and/or the state data in a visual mode.
In one possible implementation manner, in the case that a user logs in the water quality monitoring platform through a first device, the display module displays water quality detection data of a water area corresponding to the authority of the user in a first display mode; and under the condition that a user logs in the water quality monitoring platform through a second device different from the first device, the display module displays water quality detection data of a water area corresponding to the authority of the user in a second display mode different from the first display mode.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: the pollution discharge process can be rapidly and accurately identified for a plurality of times, the pollution discharge sensitive point position of a target water area and the main pollution discharge time period of each point can be traced from space and time, the remote online monitoring of water pollution early warning and pollution discharge tracing of water management personnel can be met, the operation flow is simplified, and the real-time performance of management requirements is endowed. Diversified warning prompt modes are convenient to check at any time, and a positioning system can be directly used for tracking a sewage discharge point.
Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.
Figure 1 is a block diagram illustrating a water quality monitoring platform according to an exemplary embodiment.
FIG. 2 is a schematic illustration of a cross-sectional group of target waters shown in accordance with an exemplary embodiment.
Figure 3 is a block diagram of a water quality monitoring platform shown according to another exemplary embodiment.
FIG. 4 is a schematic diagram of a display interface of the display module 1000 shown in accordance with an exemplary embodiment.
Fig. 5 is a flow chart of a monitoring method of a water quality monitoring platform according to an exemplary embodiment.
Detailed Description
Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.
Fig. 1 is a block diagram illustrating a water quality monitoring platform for monitoring and alerting of water quality in a target water area according to an exemplary embodiment.
In this embodiment, a water system is an area, and a target water area is an area to be monitored for water quality, including but not limited to a river section, a lake, a reservoir at a certain geographical location, such as a main residential area and/or an industrial area where a large amount of waste (polluted) water is discharged into a river, an upstream and downstream of a branch flow and a main flow, an entrance and exit of the lake and/or the reservoir, a drinking water source area, a water area or river section passing through a main landscape visit area, a natural conservation area, a endemic area related to water quality, a severe soil erosion area, and a geochemical abnormal area, and is grouped according to the flow direction of the water area below the area, wherein each group includes a plurality of sections. The water quality platform may be mounted on a cloud platform, a local platform, or the like.
As shown in fig. 1, the water quality monitoring platform 1 may include at least one acquisition module 100, a processing module 200, and an alarm module 300.
In this embodiment, the collection module 100 may be configured to collect water quality detection data of a target water area detected by a water quality detection device disposed in the target water area in real time. Therefore, the water quality of the target water area is detected.
In one implementation, the acquisition module 100 may be configured to receive water quality detection data acquired by a water quality detection device or sent by a user terminal, and/or water quality detection device status data.
In one implementation, at least one water quality detection device is installed at least one monitoring position of each section, detects water quality data at each monitoring position, is connected with a transmission network, and sends the water quality detection data to the acquisition module 100 in real time or non-real time through the transmission network.
In another implementation, the user terminal receives the on-site water quality detection data and sends the data to the acquisition module 100 in real time or non-real time.
The user terminal can be a mobile terminal such as a smart phone, a tablet computer, a notebook computer, a navigation device, a wearable device, an intelligent bracelet, a pedometer, a handheld detector and the like, and a fixed terminal such as a desktop computer, and can also be a terminal customized by a manufacturer.
Alternatively, the acquisition module 100 may be provided in one or more. The number of the acquisition modules 100 may be the same as or different from the number of the water quality detecting devices.
In one implementation, the data transmission frequency of the acquisition module 100 can be set according to the monitoring requirement. For example, the acquisition module 100 may send the water quality detection data of the target water area to the processing module 200 at predetermined intervals (e.g., every second or every minute). For example, the acquisition module 100 may also send the water quality detection data of the target water area to the processing module 200 in real time.
The processing module 200 is used for analyzing the water quality detection data collected by the collecting module 100.
In one implementation, the processing module 200 may be configured to analyze the water quality detection data and/or the water quality detection equipment status data from the collecting module 100, and determine whether the detection data is abnormal according to the received detection data and/or status data, so as to determine whether the target water area is polluted and/or whether the water quality detection equipment status is abnormal.
The alarm module 300 may be configured to alarm the water quality of the target water area when the processing module 200 analyzes that the water quality detection data is abnormal.
In one implementation, the alarm module 300 may be configured to alarm the water quality detection device when the processing module 200 analyzes that the water quality detection device is abnormal.
FIG. 2 is a schematic illustration of a cross-sectional group of target waters shown in accordance with an exemplary embodiment. The processing module 200 may be configured to: dividing the target water area into a plurality of groups according to the flow direction of the water area, wherein each group comprises a plurality of sections; and analyzing the water quality detection data of each section. The alert module 300 may be configured to: when the processing module 200 analyzes that the water quality detection data of more than two sections in a group are abnormal, the water quality of the group is alarmed.
For example, the alarm module 300 may determine whether to send an alarm signal according to whether the water quality spectral index (QDI) exceeds a predetermined threshold.
Wherein, the water quality spectral index (QDI) obtains a water quality spectrogram through a high frequency spectrum method, and evaluates the comprehensive quality of the water body without dimensional units. By acquiring the comprehensive water quality spectral index, the system can widely respond to various pollutants and track the pollution discharge condition in real time. In addition, the water quality spectral index can have sufficiently sensitive response to different pollutants by regulating and controlling the weight.
In one implementation, the processing module 200 groups based on geographical location, river basin, administrative district, administrative unit, main flow and/or tributary flow, etc. to combine multiple alarm signals generated from different monitoring sections within the same group into one alarm event.
Illustratively, as shown in fig. 2, the sections of the target water areas are grouped according to actual needs. The section A and the section B are divided into a group, and the section C and the section D are divided into a group. If the A section is contaminated, for example if the water quality spectral index (QDI) exceeds a limit value, an alarm signal is generated. The pollutant flows from the section A to the section B along with the water flow, and an alarm signal is also generated at the section B.
To eliminate multiple alarms caused by contaminant flow due to a single blow-off in a target water area, multiple sections of a flow are grouped, and if one section, for example section A, generates an alarm and the other sections in the same group, for example section B, generates an alarm within a predetermined time, for example 30 minutes, then the multiple alarms are combined into one alarm event. Through the retrospective playback of the alarm event, the discharge and the flow of pollutants in one group can be seen, and the complete event of the trend of the water quality changing along with time and/or position is obtained. The predetermined time may be set as needed.
Of course, the grouping of the sections of the target water area may be set according to the size of the water area, the diffusion state of the pollutants, and the like.
In one implementation, the grouping of the sections may include, but is not limited to, grouping a sections, B sections, C sections, or grouping a sections, B sections, C sections, and D sections.
Illustratively, the monitoring profile is set based on the following priority:
1) a large amount of waste (sewage) water is discharged into the main residential area of the river, the upstream and the downstream of the industrial area; monitoring sections are arranged at the junction of the branch flow and the main flow, at the inlet and the outlet of the lake and the reservoir;
2) setting a control monitoring section according to a water body functional area, wherein the control monitoring section comprises but is not limited to a drinking water source area, a water area or a river reach flowing through a main landscape visiting area, a natural protection area, a water quality related endemic area, a severe water and soil loss area and a geochemical abnormal area;
3) the monitoring section is consistent with the hydrological measurement section, and an obvious shoreside mark can be set, so that the combination of water quality monitoring and water quantity monitoring is realized by using hydrological parameters in the service life.
In one implementation, each profile includes at least one sampling point whose location and number are determined according to the depth of the sampling vertical line determined based on the width of the water surface of the target water area.
In one implementation, the sampling vertical line is determined based on the width of the water surface of the target water area as follows: setting the sampling vertical line as a middle body vertical line under the condition that the width of the water surface is less than or equal to a first threshold value or the water quality of the cross section is uniform; in a case where the width of the water surface is greater than the first threshold, the sampling vertical line is set to a plurality of sampling vertical lines based on a water flow condition.
Exemplarily, for each monitoring section, when the water surface width is less than or equal to 50m, a vertical line of the Chinese hong is set as a sampling vertical line; when the water surface width is 50-100 m, a sampling vertical line is respectively arranged at the position where obvious water flow exists on the left bank and the right bank; when the water surface width is more than 100m, a left sampling vertical line, a middle sampling vertical line and a right sampling vertical line are arranged (the middle hong and the left and right banks have obvious water flow positions). If the cross section water quality is proved to be uniform, only the vertical line of the hong body can be arranged.
In one implementation, the position and number of sampling points based on the depth of the sampling vertical are determined as follows: under the condition that the water depth of the sampling vertical line is less than or equal to a second threshold value, the number of the sampling points is one, and the positions of the sampling points are at a first depth from the water surface on the sampling vertical line; and under the condition that the water depth of the sampling vertical line is greater than the second threshold value, the number of the sampling points is at least two, and the positions of the sampling points are at positions on the sampling vertical line, which are greater than and/or equal to a first depth from the water surface.
Illustratively, on a sampling vertical line, when the water depth is less than or equal to 5m, a sampling point is arranged at a position 0.5m below the water surface; when the water depth is 5-10 m, a sampling point is arranged at a position 0.5m below the water surface and at a position 0.5m above the water bottom; when the water depth is more than 10m, three sampling points are set, for example: a sampling point is respectively arranged at 0.5m below the water surface, 0.5m above the water bottom and 1/2 water depth. If the temperature-intermediate layer exists, parameters such as water temperature, dissolved oxygen and the like in different water depths can be specified, and the position of a sampling point on a sampling vertical line is determined after each layer of condition is determined.
Figure 3 is a block diagram of a water quality monitoring platform shown according to another exemplary embodiment. In the drawings, identical or functionally identical components are denoted by the same reference numerals.
As shown in fig. 3, the water quality monitoring platform 1 may further include an interaction module 400, a storage module 500, a distribution module 600, a feedback module 700, a playback module 800, a control module 900, and/or a display module 1000.
The interaction module 400 may be configured to send a notification for processing an abnormal water quality detection apparatus to a user in a case where the alarm module 300 alarms the water quality detection apparatus.
In one implementation, the alert module 300 is configured to: in the case where the alarm module 300 performs an alarm, if the water quality data on which the alarm is based is detected by an abnormal water quality detecting apparatus, the alarm is deleted and not pushed to the user. Therefore, false alarm can be avoided, and the water area maintenance cost can be reduced.
The storage module 500 may be used to store user information including, but not limited to, information related to a user in charge of the target water area and equipment information including, but not limited to, information related to water quality detection equipment installed in the target water area.
The allocation module 600 may be configured to allocate work tasks to the users in charge of the target water area according to the user information and the device information.
The feedback module 700 may be configured to receive feedback information for the abnormal water quality testing device or the abnormal water quality testing data from the user after the user who receives the work task processes the abnormal water quality testing device or the abnormal water quality testing data.
In one implementation mode, each water quality detection device generates a unique identity two-dimensional code, and when an inspection person finds an abnormality, the inspection person can log in a page of the current water quality detection device by scanning the two-dimensional code generated by the water quality detection device, and then records the related abnormality to report data. After the background of the water quality monitoring platform 1 receives the reported abnormal prompt, the dispatcher dispatches the water quality monitoring platform to different technicians according to the work type, the workload and/or the resource availability (such as materials, personnel, vehicles and/or equipment). Meanwhile, the dispatcher can communicate with the operation and maintenance personnel from time to time, balance operation distribution according to multiple factors such as geographic positions, workload and the like, and monitor the field operation state in real time.
Illustratively, the operation maintenance personnel receives the dispatch of the work order through various technical modes, such as an intelligent mobile terminal, a computer, a paper document and the like every day, and starts maintenance tasks according to time after receiving the dispatch. The operation maintainers can conveniently check the real-time water quality condition of a target water area and/or the state of the water quality monitoring equipment through the intelligent mobile terminal, meanwhile, the platform can record the position information of all the operation maintainers, the inspection state and the operation parameters of the water quality monitoring equipment, the position information is sent to the management center server through the wireless network at regular intervals, if relevant problems and other emergencies are found, live records can be carried out in the form of photos and video short films, and the photos and the video short films can be transmitted back to the monitoring platform through the wireless network in real time, so that real-time automatic summarization is realized, the objectivity and reality of data are ensured to the maximum extent, various human factors are avoided, the analysis and statistics of the equipment state and the parameters are realized according to the requirements of users on the basis of real.
The platform can realize automation of environment monitoring and informatization of equipment operation and maintenance, and can also be designed to realize an integrated water quality detection equipment operation and maintenance platform by applying a cloud architecture, an Internet of things technology, a cloud server and intelligent hardware aiming at the water quality monitoring and river growth management demand.
Optionally, the water quality monitoring platform 1 may be matched with a mobile terminal application App to collect, store, analyze and visualize data and/or information of complete water quality monitoring, water quality detection equipment, environment and personnel operation, thereby realizing centralized monitoring and control of operation and inspection information such as water quality monitoring, equipment, plan, resource and operation. Therefore, data and a service flow are directly associated, closed-loop management from fault discovery to plan making and then to work processing is achieved on a water quality monitoring platform, online and offline full life cycle management and control is achieved for water quality monitoring, the state that an existing management layer is difficult to effectively manage and control field operation is changed, the work efficiency of operation and maintenance and management personnel is improved, link of objects, people and services is achieved, and therefore the foundation and essential important components of smart city construction are formed.
In this embodiment, the playback module 800 can be used to display the water quality detection data of each section in the same group.
In one implementation, the alarm module 300 may be further configured to classify the alarm for the water quality of the group according to the abnormal degree of the water quality detection data in the same group. The playback module 800 may be configured to: and displaying the water quality detection data of each section in the same group, the detection time of the water quality detection data, the equipment information of the water quality detection equipment of the water quality detection data and/or the type of the alarm aiming at the water quality of the group.
For example, the playback module 800 may be configured to provide real-time monitoring analysis of alarm data and/or historical alarm data query analysis according to at least one conditional filtering query manner, and send the query result to the display module 1000.
Optionally, the at least one condition is selected from one or a combination of a detection time, a water quality detection device number, a monitoring section number and an alarm type.
For example, the playback module 800 may provide real-time monitoring and browsing of alarms and query analysis of historical alarms for the user, and may filter queries according to one or more conditions including, but not limited to, time of detection, water quality detection device number, monitoring profile number, alarm type, etc. The results of the filtered query may be displayed on the display module 1000, including: water quality conditions and/or current state of water quality monitoring equipment, including but not limited to: data of each water quality index, current state of water quality, weather information of a water area, water temperature index, abnormal threshold value of each index, water pollution condition (characteristic information such as water pollution time, position, pollution source, pollutant, etc., water pollution level, etc.), pollution prediction information, pollution countermeasure, etc., information of calling model and/or function of the processing module 200, etc. Optionally, the water quality monitoring platform 1 may trace the source of the video representing the details of the alarm event and mark the pollutant discharge point based on the result of the filtering query.
For example, if an alarm event occurs in a certain time period, the video tracing generates videos 20 minutes before the alarm event and 20 minutes after the alarm event to display the historical water quality conditions of all points within a certain range of the water quality detection equipment.
Optionally, the user may also perform video tracing in a manual manner to mark pollutant emission points or other locations.
The control module 900 may be configured to determine whether the alarm meets a predetermined condition in case the alarm module 300 performs an alarm, and push the alarm to the user in case the predetermined condition is met.
Optionally, the control module 900 may push the alert to the user through at least one of an application, a web page, an email, and a text message.
Optionally, the preset conditions include standard water quality conditions for judging water quality pollution conditions, a threshold value for judging whether the state of the water quality detection device is abnormal, and the like. And generating a corresponding alarm type under the condition that the alarm condition is met. The alarm types can be classified into water quality pollution alarm, water quality detection equipment abnormity alarm and the like.
Optionally, the pushed alarm includes, but is not limited to, an alarm event generation time, a water quality detection device number, a monitoring section number, an alarm type, and the like.
For example, the control module 900 may divide the pollution into light pollution, moderate pollution, severe pollution and severe pollution according to the degree and/or range of the influence of the pollutant, filter the alarm information according to the preset condition, and push the filtered alarm information. Therefore, related personnel can know the running state of the water quality detection equipment and/or know the water quality pollution condition in the first time.
The display module 1000 may be configured to display, to a user who logs in the water quality monitoring platform 1, water quality detection data of a water area and/or state data of a water quality detection device corresponding to a permission of the user, where the water quality detection data of the water area includes real-time water quality detection data and historical water quality detection data of the water area.
In one implementation, the display module 1000 can also display data of water quality conditions and/or water quality detection device status in a visual form. Water quality conditions include, but are not limited to: data of each water quality index, current state of water quality, weather information of a water area, water temperature index, abnormal threshold value of each index, water pollution condition (characteristic information such as water pollution time, position, pollution source, pollutant, etc., water pollution level, etc.), pollution prediction information, pollution countermeasure, etc., information of calling model and/or function of the processing module 200, etc. For example, the display module 1000 may comprehensively present the statistical analysis chart and/or the GIS river network chart generated after the analysis processing on the display interface. For example, the display module 1000 may display the trend of the water quality in the same group over time.
Optionally, the visualization display mode combines information such as time and space, and uses a visualization technology such as python to model the water quality scene, and the water quality scene is presented in a statistical chart, a real object diagram, a conceptual diagram, a photo, a flow chart, a video, a text box and the like, and the presentation mode can be in various modes such as dynamic mode, static mode, two-dimensional mode, three-dimensional mode and the like. Therefore, reliable basis is provided for positioning of water pollution sources, real-time monitoring of water pollution and the like. Therefore, multi-dimensional and three-dimensional information presentation is realized, so that water quality law enforcement personnel can master or inquire comprehensive information of the water area in real time.
FIG. 4 is a schematic diagram of a display interface of the display module 1000 shown in accordance with an exemplary embodiment.
The display module 1000 obtains monitoring data of all monitoring sections of the monitored area, and displays the monitoring data corresponding to the current user authority. After the user logs in the display interface, the alarm module 300 is checked or controlled to operate according to different user permissions. The display module 1000 adopts different display modes according to the online monitoring state, the offline maintenance state and/or the existence or nonexistence of historical sewage discharge of the water quality detection equipment.
In one implementation mode, after a user logs in, monitoring conditions of all sections of a region to which the user belongs are firstly obtained according to authority, a GPS value of water quality detection equipment is obtained, and the water quality detection equipment is initialized.
As shown in fig. 4, a display interface of the display module 1000 displays states of the water quality detection device, which are online monitoring and offline maintenance. Wherein offline maintenance is identified with a gray icon and the expected maintenance end time is noted.
The water quality monitoring platform 1 acquires historical water quality detection data within 24 hours before logging in by a user aiming at the water quality detection equipment with the online monitoring state, automatically checks whether the pollution discharge exists, and marks the historical pollution discharge with different identifiers compared with the equipment without the historical pollution discharge if the water quality detection equipment has the historical pollution discharge.
Illustratively, if the water quality testing device has an over-historical blowdown, a small red circle 310 is marked in the upper right corner of the circle mark representing the water quality testing device. If the water quality detection equipment has no historical pollution discharge, performing identification display according to the water quality grade corresponding to the water quality spectral index (QDI) value when a user logs in, namely, representing the water quality spectral index value inside a circle mark of the water quality detection equipment, wherein the range of the QDI is 1-100.
Of course, it is also possible to distinguish whether the water quality detection device has been historically drained and to mark the water quality level by means such as a list or other graphs.
In one implementation, the collection module 100 collects at least one of a water quality spectral index (QDI), a normal five-parameter, a pollution index, a nutritional index, a black odor index, a Chemical Oxygen Demand (COD), a Biochemical Oxygen Demand (BOD), and a Total Organic Carbon (TOC) according to different frequencies, and sends the collected data to the display module 900. The display module 900 identifies the data collected at the different frequencies for differentiated display.
Conventional five parameters include water temperature, pH, dissolved oxygen, turbidity, and conductivity. The pollution indexes comprise ammonia nitrogen and total phosphorus. The nutritional indexes include blue algae and transparency. Black odor indicators are hydrogen sulfide and oxidation-reduction potential ORP.
The acquisition module 100 acquires parameters with different frequencies according to different detection modes. Illustratively, Chemical Oxygen Demand (COD), turbidity, temperature, etc. are collected at a frequency of 10 minutes each, ammonia nitrogen, total phosphorus are monitored chemically, and at a frequency of 20 minutes each. The parameters collected at different frequencies are identified by markers, and the display module 1000 simultaneously presents the collected parameters and displays the collected time in the remarks.
In one implementation, the display module 1000 provides different display modes according to different user devices mounted on the water quality monitoring platform 1. When a user logs in the water quality monitoring platform 1 via the first device, the display module 1000 displays the water quality detection data of the water area corresponding to the authority of the user in the first display mode. When a user logs in the water quality monitoring platform 1 via a second device different from the first device, the display module 1000 displays water quality detection data of a water area corresponding to the authority of the user in a second display mode different from the first display mode.
For example, the display interface of the display module 1000 is displayed as a computer version in the local computer and as a touch screen version or a moving board in the mobile terminal, but the invention is not limited thereto. Therefore, the optimal display effect is realized, and the user experience is improved.
In an implementation manner, the water quality monitoring platform 1 further includes an updating module, configured to perform operations of adding, deleting, modifying and checking water area basic information and user basic information, and update and store data acquired by the acquiring module 100 in real time.
As mentioned above, compared with the water quality monitoring software platform in the prior art, the water quality monitoring platform of the embodiment can quickly and accurately identify the sewage discharge process for several times, trace the pollution discharge sensitive point position of the target water area from space and time, and the main sewage discharge time period of each point, can meet the remote online monitoring of water pollution early warning and pollution discharge traceability of water management personnel, simplify the operation process, and endow the management requirement with real-time performance. Diversified warning prompt modes are convenient to check at any time, and a positioning system can be directly used for tracking a sewage discharge point.
Fig. 5 is a flow chart of a monitoring method of a water quality monitoring platform according to an exemplary embodiment. The monitoring method is used for monitoring and alarming the water quality of a target water area, and can be applied to the water quality monitoring platform 1 in the embodiment. As shown in fig. 5, the monitoring method may include the following steps.
In step S510, water quality detection data collected by the water quality detection apparatus or transmitted by the user terminal, and/or water quality detection apparatus status data are received.
In step S530, the water quality detection data and/or the water quality detection apparatus state data are analyzed.
In step S550, based on the analysis result, the water quality condition of different water areas and/or the state of the water quality detection device is/are alarmed.
In step S570, data of the water quality condition and/or the state of the water quality detection apparatus is displayed in a visual form.
With regard to the method in the above-described embodiment, the detailed manner of each step thereof has been described in detail in the embodiment of the apparatus, and will not be described in detail here.
The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (13)
1. A water quality monitoring platform, which is characterized by comprising:
the acquisition module is used for acquiring water quality detection data of a target water area, which is detected by water quality detection equipment arranged in the target water area in real time;
the processing module is used for analyzing the water quality detection data collected by the collection module; and
and the warning module is used for warning the water quality of the target water area under the condition that the processing module analyzes that the water quality detection data are abnormal.
2. The water quality monitoring platform of claim 1,
the acquisition module is also used for acquiring the state data of the water quality detection equipment.
3. The water quality monitoring platform of claim 2,
the processing module is also used for analyzing the state data;
the alarm module is also used for giving an alarm to the water quality detection equipment under the condition that the processing module analyzes that the water quality detection equipment is abnormal.
4. The water quality monitoring platform of claim 3, further comprising:
and the interaction module is used for sending a notice for processing the abnormal water quality detection equipment to a user under the condition that the alarm module alarms the water quality detection equipment.
5. A water quality monitoring platform according to any one of claims 1 to 4, further comprising:
the storage module is used for storing user information and equipment information, wherein the user information is information related to a user in charge of the target water area, and the equipment information is information related to water quality detection equipment arranged in the target water area;
the distribution module is used for distributing work tasks to all users in charge of the target water area according to the user information and the equipment information;
and the feedback module is used for receiving feedback information aiming at the abnormal water quality detection equipment or the abnormal water quality detection data from the user after the user receiving the work task processes the abnormal water quality detection equipment or the abnormal water quality detection data.
6. A water quality monitoring platform according to any one of claims 1 to 4,
the processing module is configured to:
dividing the target water area into a plurality of groups according to the flow direction of the water area, wherein each group comprises a plurality of sections; and
analyzing the water quality detection data of each section; and
the alert module is configured to:
and under the condition that the processing module analyzes that the water quality detection data of more than two sections in one group are abnormal, alarming the water quality of the group.
7. The water quality monitoring platform of claim 6,
the section comprises at least one sampling point, the position and the number of which are determined according to the depth of a sampling vertical line determined based on the width of the water surface of the target water area;
wherein, when the width of the water surface is less than or equal to a first threshold value or the water quality of the cross section is uniform, the sampling vertical line is set as a middle body vertical line; in the case that the width of the water surface is larger than the first threshold, the sampling vertical line is set to a plurality of sampling vertical lines based on the water flow condition;
under the condition that the water depth of the sampling vertical line is less than or equal to a second threshold value, the number of the sampling points is one, and the positions of the sampling points are at a first depth from the water surface on the sampling vertical line; and under the condition that the water depth of the sampling vertical line is greater than the second threshold value, the number of the sampling points is at least two, and the positions of the sampling points are at positions on the sampling vertical line, which are greater than and/or equal to a first depth from the water surface.
8. The water quality monitoring platform of claim 6,
the alert module is configured to: and under the condition that the alarm module gives an alarm, if the water quality data based on the alarm is detected by abnormal water quality detection equipment, deleting the alarm and not pushing the alarm to a user.
9. The water quality monitoring platform of claim 6, further comprising:
and the playback module is used for displaying the water quality detection data of each section in the group.
10. The water quality monitoring platform of claim 9,
the alarm module is also used for classifying the alarm aiming at the water quality of the group according to the abnormal degree of the water quality detection data in the group,
the playback module is configured to: and displaying the water quality detection data of each section in the group, the detection time of the water quality detection data, the equipment information of the water quality detection equipment of the water quality detection data, and the type of the alarm aiming at the water quality of the group.
11. A water quality monitoring platform according to any one of claims 1 to 4, further comprising:
the control module is used for judging whether the alarm meets a preset condition or not under the condition that the alarm module gives an alarm, and pushing the alarm to a user under the condition that the alarm meets the preset condition,
the control module pushes the alarm to a user through at least one of an application program, a webpage, an email and a short message.
12. A water quality monitoring platform according to any one of claims 1 to 4, further comprising:
the display module is used for displaying water quality detection data of a water area and/or state data of water quality detection equipment corresponding to the authority of a user to the user logging in the water quality monitoring platform, wherein the water quality detection data of the water area comprise real-time water quality detection data and historical water quality detection data of the water area, and the display module displays the water quality detection data and/or the state data in a visual mode.
13. The water quality monitoring platform of claim 12,
under the condition that a user logs in the water quality monitoring platform through first equipment, the display module displays water quality detection data of a water area corresponding to the authority of the user in a first display mode;
and under the condition that a user logs in the water quality monitoring platform through a second device different from the first device, the display module displays water quality detection data of a water area corresponding to the authority of the user in a second display mode different from the first display mode.
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| CN113608477A (en) * | 2021-08-06 | 2021-11-05 | 张佳 | Integration sewage management and control platform |
| CN114324231A (en) * | 2021-12-24 | 2022-04-12 | 安徽新宇环保科技股份有限公司 | River channel patrol full-spectrum water quality data analysis method |
| CN114861252A (en) * | 2021-02-04 | 2022-08-05 | 西安电子科技大学青岛计算技术研究院 | Intelligent reservoir management system based on bim + gis technology and implementation method thereof |
| CN116626766A (en) * | 2023-07-25 | 2023-08-22 | 芯视界（北京）科技有限公司 | Method and device for detecting state of water quality monitoring equipment, electronic equipment and storage medium |
| CN117689914A (en) * | 2023-12-08 | 2024-03-12 | 莱森光学（深圳）有限公司 | Water quality monitoring method and system |
| CN117933572A (en) * | 2024-03-20 | 2024-04-26 | 四川飞洁科技发展有限公司 | Water quality prediction method and related device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114861252A (en) * | 2021-02-04 | 2022-08-05 | 西安电子科技大学青岛计算技术研究院 | Intelligent reservoir management system based on bim + gis technology and implementation method thereof |
| CN113608477A (en) * | 2021-08-06 | 2021-11-05 | 张佳 | Integration sewage management and control platform |
| CN114324231A (en) * | 2021-12-24 | 2022-04-12 | 安徽新宇环保科技股份有限公司 | River channel patrol full-spectrum water quality data analysis method |
| CN114324231B (en) * | 2021-12-24 | 2023-11-03 | 安徽新宇环保科技股份有限公司 | Riverway patrol full-spectrum water quality data analysis method |
| CN116626766A (en) * | 2023-07-25 | 2023-08-22 | 芯视界（北京）科技有限公司 | Method and device for detecting state of water quality monitoring equipment, electronic equipment and storage medium |
| CN116626766B (en) * | 2023-07-25 | 2023-09-15 | 芯视界（北京）科技有限公司 | Method and device for detecting state of water quality monitoring equipment, electronic equipment and storage medium |
| CN117689914A (en) * | 2023-12-08 | 2024-03-12 | 莱森光学（深圳）有限公司 | Water quality monitoring method and system |
| CN117933572A (en) * | 2024-03-20 | 2024-04-26 | 四川飞洁科技发展有限公司 | Water quality prediction method and related device |
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