CN113610358A - Remote water quality risk early warning system based on cloud platform - Google Patents
Remote water quality risk early warning system based on cloud platform Download PDFInfo
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- G06Q10/063—Operations research, analysis or management
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- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
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Abstract
The invention discloses a remote water quality risk early warning system and a remote water quality risk early warning method based on a cloud platform, wherein the method comprises the following steps: the information grabbing device grabs water quality monitoring data of a plurality of monitoring stations and uploads the water quality monitoring data to the risk assessment cloud platform; the risk assessment cloud platform acquires the water quality monitoring data; the risk assessment cloud platform carries out risk assessment on the water quality monitoring data to obtain risk forecast information, and sends the risk forecast information to the early warning device; the early warning device outputs risk early warning information according to the risk forecast information, can carry out centralized risk early warning on scattered isolated data across industries and units, and is favorable for realizing multi-site water quality risk management.
Description
Technical Field
The invention relates to the technical field of water quality management, in particular to a remote water quality risk early warning system based on a cloud platform.
Background
In recent years, with the continuous development of urbanization and industrialization, the problem of water pollution is more and more serious, according to respective responsibility, water conservancy, environmental protection, emergency, city management and other departments build a water quality monitoring system in succession, the traditional water quality monitoring mostly adopts a polling technology, needs to rely on a large amount of manpower and material resources to carry out acquisition and analysis, the manual acquisition mode has great influence on accuracy and timeliness, at present, water quality online monitoring facilities are mostly adopted to carry out monitoring, and water quality standard evaluation is carried out based on the comparison of real-time water quality monitoring data and a standard value of national standard, but as the water quality monitoring facilities are wide in point, multi-industry supervision and multi-subject operation are faced at the same time, the problem of isolated island of the water quality monitoring data is prominent, and the difficulty of system integration and data sharing is extremely high.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the remote water quality risk early warning system based on the cloud platform can carry out centralized risk early warning on scattered isolated data across industries and units, and is beneficial to realizing multi-site water quality risk management.
In a first aspect, an embodiment of the present invention provides a remote water quality risk early warning method, which is applied to a remote water quality risk early warning system, where the remote water quality risk early warning system includes an information capture device, a risk assessment cloud platform, and an early warning device, and the method includes:
the information grabbing device grabs water quality monitoring data of a plurality of monitoring stations and uploads the water quality monitoring data to the risk assessment cloud platform;
the risk assessment cloud platform acquires the water quality monitoring data;
the risk assessment cloud platform carries out risk assessment on the water quality monitoring data to obtain risk forecast information, and sends the risk forecast information to the early warning device;
and the early warning device outputs risk early warning information according to the risk forecast information.
The remote water quality risk early warning method provided by the embodiment of the invention at least has the following beneficial effects: the water quality monitoring data of the existing multiple monitoring stations are captured through the information grabbing device, water quality monitoring is cached and then uploaded to the risk assessment cloud platform, after the risk assessment cloud platform acquires the water quality monitoring data, risk assessment can be conducted on the water quality monitoring data, risk forecast information is obtained through calculation, integration of the water quality monitoring data of the multiple stations is facilitated, data sharing is facilitated, the risk assessment cloud platform sends the risk forecast information to the early warning device, the early warning device can output the risk early warning information according to the risk forecast information, automatic early warning of water quality risks can be achieved, centralized risk early warning can be conducted on scattered isolated data across industries and units through acquiring the water quality monitoring data of the multiple monitoring stations in real time and conducting risk assessment, and multi-station water quality risk management is facilitated.
In the above remote water quality risk early warning method, after the water quality monitoring data is acquired, the method further includes:
cleaning the water quality monitoring data to screen out qualified data;
and storing the qualified data.
In the remote water quality risk early warning method of the embodiment, after the risk assessment cloud platform acquires the water quality monitoring data, the water quality monitoring data are cleaned firstly, qualified data are screened out, the screened qualified data are stored, the effectiveness of the water quality monitoring data is guaranteed, and the accuracy of risk assessment is improved.
In the above remote water quality risk early warning method, the method further comprises:
the risk assessment cloud platform acquires position information of a plurality of monitoring sites;
the risk assessment cloud platform is provided with a plurality of data tables according to different monitoring stations, and the data tables store the water quality monitoring data and the position information corresponding to the monitoring stations.
In the remote water quality risk early warning method of the embodiment, the risk assessment cloud platform acquires the position information of a plurality of monitoring sites, and is divided into different data tables according to different monitoring sites, and the data table of each monitoring site stores water quality monitoring data and position information, so that a water quality management department can quickly position the position of the monitoring site with water quality risk.
In the above remote water quality risk early warning method, the performing risk assessment on the water quality monitoring data to obtain risk prediction information includes:
calculating to obtain standard exceeding probability information according to the water quality monitoring data;
and obtaining risk forecast information according to the overproof probability information, wherein the risk forecast information is used for expressing the water quality risk degree of the water quality monitoring data.
In the remote water quality risk early warning method of the embodiment, the exceeding probability information is obtained through calculation according to the water quality monitoring data, the exceeding probability information is used for representing the water quality exceeding probability in a future period, and the risk prediction information is obtained according to the exceeding probability information, so that the water quality risk degree of the water quality monitoring data can be represented, and automatic early warning of water quality is facilitated.
Before the overproof probability information is calculated according to the water quality monitoring data, a probability calculation model of the water quality degradation rate is constructed according to historical water quality monitoring data;
obtaining risk forecast information according to the overproof probability information comprises the following steps:
comparing the overproof probability information with a preset probability threshold;
and obtaining risk forecast information according to the threshold interval in which the superstandard probability information is located, wherein the risk forecast information comprises a first risk level, a second risk level, a third risk level and a fourth risk level.
In the remote water quality risk early warning method of the embodiment, a probability calculation model of the water quality degradation rate is constructed by using historical water quality monitoring data, water quality measurement data is input based on the probability calculation model to calculate out exceeding probability information, the exceeding probability information is compared with a preset probability threshold, the water quality risk level can be judged according to a threshold interval where the exceeding probability information is located, and the risk prediction information comprises four different risk levels, can reflect the water quality exceeding degree of the water quality monitoring data, and is convenient for carrying out targeted risk early warning.
In the above remote water quality risk early warning method, the outputting risk early warning information according to the risk forecast information includes at least one of:
outputting a light warning signal according to the risk forecast information;
outputting a sound warning signal according to the risk forecast information;
sending remote warning information to water quality management personnel according to the risk forecast information;
the method further comprises the following steps: and the early warning device calls the water quality monitoring data and the risk forecasting information.
In the remote water quality risk early warning method of the embodiment, the risk early warning information is output according to the risk prediction information, a light warning signal or a sound warning signal can be sent on site, the remote warning information can be sent to a water quality manager according to a risk management plan, the water quality related conditions of a monitored site are timely fed back to the water quality manager, for example, the risk prediction information can be sent to a mobile phone of the water quality manager, or the risk prediction information is sent to the water quality manager in a mail mode, in addition, the early warning device can know the water quality conditions of the monitored site by calling the water quality monitoring data and the risk prediction information, the remote monitoring management of a plurality of monitored sites can be realized, and the multi-site water quality risk management is favorably realized.
In the above remote water quality risk early warning method, the constructing a probability calculation model of a water quality degradation rate according to historical water quality monitoring data includes:
acquiring input historical water quality monitoring data;
acquiring a plurality of water quality indexes, and calculating historical water quality degradation rates of the plurality of water quality indexes according to the historical water quality monitoring data;
fitting the historical water quality degradation rate by adopting an optimization line fitting method and optimizing parameters of a distribution function to obtain a probability calculation model of the water quality degradation rate;
the method for calculating and obtaining the standard exceeding probability information according to the water quality monitoring data comprises the following steps:
obtaining a water quality degradation rate critical value according to the water quality monitoring data and a preset water quality standard limiting value on the basis of a water quality degradation rate critical value calculation model;
and obtaining the exceeding probability information according to the water quality degradation rate critical value based on the probability calculation model.
In the remote water quality risk early warning method of the embodiment, an optimization line fitting method based on empirical frequency point data is adopted, historical water quality monitoring data of each monitoring station are input, a plurality of water quality indexes are obtained, and historical water quality degradation rate of each water quality index is calculated, namely, a time sequence sample based on water quality degradation is subjected to frequency discharge according to the degradation rate, and a theoretical frequency curve is drawn based on the empirical frequency point data, so that a probability calculation model of the water quality degradation rate is obtained; when the on-line water quality monitoring data to be evaluated is input into the water quality degradation rate critical value calculation model, the degradation rate critical value of the water quality exceeding the limit can be calculated according to the water quality real-time monitoring data and the preset water quality standard limiting value, and the water quality standard limiting value comprises a plurality of standard limiting values of water quality indexes; through the critical value of the water quality degradation rate, the probability that the water quality monitoring data possibly exceeds the limit can be solved in the probability calculation model, and the exceeding probability information is obtained, so that the risk level of the water quality degradation can be judged.
In a second aspect, the embodiment of the invention provides a remote water quality risk early warning system based on a cloud platform, which comprises an information grabbing device, a risk assessment cloud platform and an early warning device, wherein the information grabbing device is used for grabbing water quality monitoring data of a plurality of monitoring stations and uploading the water quality monitoring data to the risk assessment cloud platform; the risk assessment cloud platform is used for performing risk assessment on the water quality monitoring data to obtain risk forecast information; the early warning device is used for receiving the risk forecast information and outputting risk early warning information according to the risk forecast information.
The cloud platform-based remote water quality risk early warning system provided by the embodiment of the invention at least has the following beneficial effects:
the risk assessment cloud platform is respectively in communication connection with the information grabbing device and the early warning device, water quality monitoring data of a plurality of existing monitoring stations are grabbed through the information grabbing device, water quality monitoring is cached and uploaded to the risk assessment cloud platform, after the water quality monitoring data are acquired by the risk assessment cloud platform, risk assessment can be carried out on the water quality monitoring data, risk forecast information is obtained through calculation, integration of the water quality monitoring data of the plurality of stations is facilitated, data sharing is facilitated, the risk forecast information is sent to the early warning device by the risk assessment cloud platform, the early warning device can output risk early warning information according to the risk forecast information, automatic early warning of water quality risks can be achieved, centralized risk early warning can be carried out on scattered isolated data across industries and units by acquiring the water quality monitoring data of the plurality of monitoring stations in real time and carrying out risk assessment, is favorable for realizing multi-site water quality risk management.
In a third aspect, an embodiment of the present invention provides an operation control apparatus, including at least one control processor and a memory, which is communicatively connected to the at least one control processor; the memory stores instructions executable by the at least one control processor to enable the at least one control processor to perform the remote water quality risk pre-warning method of the first aspect as described above.
The operation control device provided by the embodiment of the invention at least has the following beneficial effects: the water quality monitoring data of the existing multiple monitoring stations are captured through the information grabbing device, water quality monitoring is cached and then uploaded to the risk assessment cloud platform, after the risk assessment cloud platform acquires the water quality monitoring data, risk assessment can be conducted on the water quality monitoring data, risk forecast information is obtained through calculation, integration of the water quality monitoring data of the multiple stations is facilitated, data sharing is facilitated, the risk assessment cloud platform sends the risk forecast information to the early warning device, the early warning device can output the risk early warning information according to the risk forecast information, automatic early warning of water quality risks can be achieved, centralized risk early warning can be conducted on scattered isolated data across industries and units through acquiring the water quality monitoring data of the multiple monitoring stations in real time and conducting risk assessment, and multi-station water quality risk management is facilitated.
In a fourth aspect, embodiments of the present invention provide a computer-readable storage medium storing computer-executable instructions for causing a computer to perform the remote water quality risk early warning method according to the first aspect.
The computer-readable storage medium provided by the embodiment of the invention has at least the following beneficial effects: the water quality monitoring data of the existing multiple monitoring stations are captured through the information grabbing device, water quality monitoring is cached and then uploaded to the risk assessment cloud platform, after the risk assessment cloud platform acquires the water quality monitoring data, risk assessment can be conducted on the water quality monitoring data, risk forecast information is obtained through calculation, integration of the water quality monitoring data of the multiple stations is facilitated, data sharing is facilitated, the risk assessment cloud platform sends the risk forecast information to the early warning device, the early warning device can output the risk early warning information according to the risk forecast information, automatic early warning of water quality risks can be achieved, centralized risk early warning can be conducted on scattered isolated data across industries and units through acquiring the water quality monitoring data of the multiple monitoring stations in real time and conducting risk assessment, and multi-station water quality risk management is facilitated.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the example serve to explain the principles of the invention and not to limit the invention.
The invention is further described below with reference to the accompanying drawings and examples;
fig. 1 is a flow chart of a remote water quality risk early warning method provided by an embodiment of the invention;
fig. 2 is a schematic structural diagram of a remote water quality risk early warning system according to another embodiment of the present invention;
fig. 3 is a flow chart of a remote water quality risk early warning method according to another embodiment of the present invention;
fig. 4 is a flow chart of a remote water quality risk early warning method according to another embodiment of the present invention;
fig. 5 is a flow chart of a remote water quality risk early warning method according to another embodiment of the present invention;
fig. 6 is a flow chart of a remote water quality risk early warning method according to another embodiment of the present invention;
fig. 7 is a flow chart of a remote water quality risk early warning method according to another embodiment of the present invention;
fig. 8 is a flow chart of a remote water quality risk early warning method according to another embodiment of the present invention;
fig. 9 is a schematic structural diagram of an operation control device according to another embodiment of the present invention.
Detailed Description
Reference will now be made in detail to the present preferred embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to like elements throughout.
It should be understood that in the description of the embodiments of the present invention, if there is any description of "first", "second", etc., it is only for the purpose of distinguishing technical features, and it is not to be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features or implicitly indicating the precedence of the indicated technical features. "at least one" means one or more, "a plurality" means two or more.
Furthermore, unless expressly stated or limited otherwise, the term "coupled" is to be construed broadly, e.g., as meaning mechanical or electrical coupling or communication between one another; the above-mentioned words can be directly connected or indirectly connected through an intermediate, and those skilled in the art can reasonably determine the specific meaning of the above-mentioned words in the present invention by combining the specific contents of the technical solutions.
In the present invention, the schematic representations of the above terms do not necessarily refer to the same embodiment or implementation. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or implementations. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
The embodiments of the present invention will be further explained with reference to the drawings.
Referring to fig. 1 and fig. 2, a first embodiment of the present invention provides a remote water quality risk early warning method, which is applied to a remote water quality risk early warning system, where the remote water quality risk early warning system includes an information capture device 100, a risk assessment cloud platform 200, and an early warning device 300, and the remote water quality risk early warning method includes, but is not limited to, step S110, step S120, step S130, and step S140:
step S110: the information grabbing device grabs water quality monitoring data of the multiple monitoring stations and uploads the water quality monitoring data to the risk assessment cloud platform;
it should be noted that, after capturing the water quality monitoring data of a plurality of monitoring stations, the information capturing device 100 transmits the water quality monitoring data to the risk assessment cloud platform 200 through the NB-IOT communication module, the information capturing device 100 is connected with an online monitoring facility and can perform serial communication, data capturing is performed based on the existing online monitoring facility, a new water quality monitoring sensor is not required to be specially arranged, the water quality monitoring data of the plurality of monitoring stations can be conveniently collected, and after the water quality monitoring data are analyzed by the information capturing device 100, the NB-IOT communication module transmits the water quality monitoring data to the risk assessment cloud platform 200 through communication protocols such as MQTT and LWM 2M. Specifically, the selected NB-IOT communication module can realize wide-coverage, high-safety and low-power-consumption data transmission, the coverage rate of the NB-IOT communication module in China is wider and wider along with the continuous development of the NB-IOT technology, and the remote water quality risk early warning method provided by the embodiment of the invention can be better suitable for remote suburbs.
Step S120: a risk assessment cloud platform acquires water quality monitoring data;
step S130: the risk assessment cloud platform carries out risk assessment on the water quality monitoring data to obtain risk forecast information, and sends the risk forecast information to the early warning device;
step S140: and the early warning device outputs risk early warning information according to the risk forecast information.
It should be noted that the risk assessment cloud platform 200 sends the risk forecast information to the early warning device 300 through the wireless communication module, and the early warning device 300 obtains relevant data and information from the risk assessment cloud platform 200 through the wireless communication module, thereby implementing monitoring on a plurality of monitoring stations. Specifically, the wireless communication module is a WIFI communication module, which can remotely obtain data and facilitate remote water quality monitoring management, and in addition, a bluetooth communication module, an LORA communication module, a 4G-DTU communication module, and other wireless communication modules can be selected to implement remote communication. After the early warning device 300 acquires the risk prediction information, the risk prediction information is analyzed and processed to output risk early warning information, and automatic early warning of water quality risks can be achieved.
It should be noted that the information capture device 100 is a sensing layer, communication transmission between data caching and an NB-IOT module is realized by compiling a control program in C language, the risk assessment cloud platform 200 is a network layer, and the control program is compiled in JAVA language, so that a water quality risk monitoring and early warning scheme independent of an existing monitoring system is realized, the early warning device 300 is an application layer, and the control program is compiled in C language, so that information such as risk prediction information is received, displayed and early warned.
Specifically, through setting up display module at information grabbing device 100, the water quality monitoring data that will snatch shows in real time, can monitor the on-the-spot water quality condition, and the quality of water managers of being convenient for in time knows the water quality condition of monitoring website, and display module is the OLED display screen, has good anti-seismic performance, and low temperature characteristic is good, is applicable to the environment of multiple difference, and luminous efficiency is high, is favorable to reducing the energy consumption, and in addition, can also select the LED display screen to show water quality monitoring data.
The water quality monitoring data of a plurality of existing monitoring stations are captured through the information capturing device 100, water quality monitoring is cached and then uploaded to the risk assessment cloud platform 200, after the risk assessment cloud platform 200 acquires the water quality monitoring data, risk assessment can be conducted on the water quality monitoring data, risk forecast information is obtained through calculation, integration of the water quality monitoring data of the plurality of stations is facilitated, data sharing is convenient to achieve, the risk assessment cloud platform 200 sends the risk forecast information to the early warning device 300, the early warning device 300 can output risk early warning information according to the risk forecast information, automatic early warning of water quality risks can be achieved, centralized risk early warning can be conducted on scattered isolated data of cross-industry and cross-unit through obtaining the water quality monitoring data of the plurality of monitoring stations in real time and conducting risk assessment, and multi-station water quality risk management is facilitated.
As shown in fig. 3, in the above-mentioned remote water quality risk early warning method, after the water quality monitoring data is acquired in step S120, the method further includes step S210 and step S220:
step S210: cleaning the water quality monitoring data to screen out qualified data;
step S220: and storing the qualified data.
In the remote water quality risk early warning method of the embodiment, after the risk assessment cloud platform 200 acquires the water quality monitoring data, the water quality monitoring data is cleaned firstly, qualified data is screened out, the screened qualified data is stored, the effectiveness of the water quality monitoring data is guaranteed, and the accuracy of risk assessment is improved.
As shown in fig. 4, the remote water quality risk early warning method further includes step S310 and step S320:
step S310: the risk assessment cloud platform acquires position information of a plurality of monitoring sites;
step S320: the risk assessment cloud platform is provided with a plurality of data tables according to different monitoring stations, and the data tables store water quality monitoring data and position information corresponding to the monitoring stations.
In the remote water quality risk early warning method of this embodiment, the risk assessment cloud platform 200 acquires the location information of a plurality of monitoring sites, and is divided into different data tables according to different monitoring sites, and the data table of each monitoring site stores water quality monitoring data and location information, so that a water quality management department can quickly locate the location of the monitoring site where water quality risks.
As shown in fig. 5, in the above-mentioned remote water quality risk early warning method, the risk assessment is performed on the water quality monitoring data in step S130 to obtain the risk forecast information, which includes step S410 and step S420:
step S410: calculating to obtain standard exceeding probability information according to the water quality monitoring data;
step S420: and obtaining risk forecast information according to the overproof probability information, wherein the risk forecast information is used for expressing the water quality risk degree of the water quality monitoring data.
In the remote water quality risk early warning method of the embodiment, the exceeding probability information is obtained through calculation according to the water quality monitoring data, the exceeding probability information is used for representing the water quality exceeding probability in a future period, and the risk prediction information is obtained according to the exceeding probability information, so that the water quality risk degree of the water quality monitoring data can be represented, and automatic early warning of water quality is facilitated.
In the remote water quality risk early warning method, before the exceeding probability information is obtained by calculation according to the water quality monitoring data in the step S410, the method also comprises a step S400 of constructing a probability calculation model of the water quality degradation rate according to the historical water quality monitoring data;
as shown in fig. 6, the step S420 of obtaining the risk prediction information according to the superscalar probability information includes steps S510 and S520:
step S510: comparing the overproof probability information with a preset probability threshold;
step S520: and obtaining risk forecast information according to the threshold interval in which the superstandard probability information is located, wherein the risk forecast information comprises a first risk level, a second risk level, a third risk level and a fourth risk level.
In the remote water quality risk early warning method of the embodiment, a probability calculation model of the water quality degradation rate is constructed by using historical water quality monitoring data, water quality measurement data is input based on the probability calculation model to calculate out exceeding probability information, the exceeding probability information is compared with a preset probability threshold, the water quality risk level can be judged according to a threshold interval where the exceeding probability information is located, and the risk prediction information comprises four different risk levels, can reflect the water quality exceeding degree of the water quality monitoring data, and is convenient for carrying out targeted risk early warning. It should be noted that, the probability calculation model of the water quality degradation rate mentioned above adopts an optimization fit-line method to fit the water quality degradation rate sample to obtain the optimal parameters of the probability distribution function, and the optimization fit-line method is applied to water quality analysis to facilitate improving the accuracy of parameter optimization.
According to the remote water quality risk early warning method, firstly, the water quality monitoring data collecting information grabbing devices 100 of the existing multiple monitoring stations are cached, then, the NB-IOT communication module is started to be connected to the communication network, the data are uploaded to the risk assessment cloud platform 200, the water quality monitoring data are subjected to risk assessment based on the risk assessment cloud platform 200, the exceeding probability and the risk level of the water quality monitoring data in a certain period of time in the future are calculated, so that risk forecast information is obtained, the risk forecast information is transmitted through the wireless communication module, so that the early warning device 300 can achieve automatic early warning of water quality risks, centralized storage, risk analysis, automatic early warning and achievement of scattered and isolated data across industries and units can be achieved, and multi-station water quality risk management is facilitated.
It should be noted that the risk assessment cloud platform 200 is developed based on an ONENET cloud platform to realize risk assessment on water quality monitoring data, after the water quality monitoring data of each monitoring station is uploaded to the risk assessment cloud platform 200, data is firstly cleaned, qualified data is screened out and stored in a database, conventional functions of data acquisition, storage, query and the like are realized, the risk assessment cloud platform 200 calls the data in the database to perform risk assessment, and relevant water quality information is transmitted to the early warning device 300. In addition, the risk assessment cloud platform 200 can show the water quality data to the user in a chart form, so that the method is more intuitive.
In the above-mentioned remote water quality risk early warning method, in step S140, the risk early warning information is output according to the risk forecast information, and the method includes at least one of the following steps:
outputting a light warning signal according to the risk forecast information;
outputting a sound warning signal according to the risk forecast information;
sending remote warning information to water quality management personnel according to the risk forecast information;
the remote water quality risk early warning method further comprises the following steps: the early warning device calls water quality monitoring data and risk forecasting information.
In the remote water quality risk early warning method of the embodiment, the risk early warning information is output according to the risk prediction information, a light warning signal or a sound warning signal can be sent on site, the remote warning information can be sent to a water quality manager according to a risk management plan, the water quality related conditions of a monitored site are timely fed back to the water quality manager, for example, the risk prediction information can be sent to a mobile phone of the water quality manager, or the risk prediction information is sent to the water quality manager in a mail mode, in addition, the early warning device can know the water quality conditions of the monitored site by calling the water quality monitoring data and the risk prediction information, the remote monitoring management of a plurality of monitored sites can be realized, and the multi-site water quality risk management is favorably realized.
It should be noted that the early warning device 300 can send out light warning signals by setting up a display module, the display module can be an LED display screen or an OLED display screen, a buzzer can also be set to send out sound warning signals, and remote warning information can also be sent to water quality management personnel by a wireless communication module to remind the water quality management personnel to supervise monitoring sites in time.
Specifically, the risk prediction information includes a first risk level, a second risk level, a third risk level and a fourth risk level, the first risk level indicates that the water quality of the monitored cross section is at a high risk, the second risk level indicates that the water quality of the monitored cross section is at a medium risk, the third risk level indicates that the water quality of the monitored cross section is at a low risk, the fourth risk level indicates that the water quality of the monitored cross section is at no risk, the early warning device 300 outputs different risk early warnings according to different risk levels, for example, when the risk prediction information is the first risk level, i.e., the high risk, the early warning device 300 sends out a sound and a red light alarm on site, when the risk prediction information is the second risk level, i.e., the medium risk, the early warning device 300 sends out a yellow light alarm on site, when the risk prediction information is the third risk level, i.e., the low risk, the early warning device 300 sends out a blue light alarm on site, different water quality risk grades can be fed back intuitively according to different alarm forms, and in addition, risk forecast information can be remotely issued to water quality management personnel of different levels according to a risk management plan and predicted risk grades.
In the above remote water quality risk early warning method, the method further comprises:
the early warning device calls water quality monitoring data and risk forecasting information.
As shown in fig. 7, in the remote water quality risk early warning method of the present embodiment, the step S400 of constructing a probability calculation model of the water quality degradation rate according to the historical water quality monitoring data includes steps S610, S620 and S630:
step S610: acquiring input historical water quality monitoring data;
step S620: acquiring a plurality of water quality indexes, and calculating historical water quality degradation rates of the plurality of water quality indexes according to historical water quality monitoring data;
step S630: fitting the historical water quality degradation rate by adopting an optimization fitting method and optimizing parameters of a distribution function to obtain a probability calculation model of the water quality degradation rate;
as shown in fig. 8, the step S410 of calculating the out-of-standard probability information according to the water quality monitoring data includes:
step S710, based on the water quality deterioration rate critical value calculation model, obtaining a water quality deterioration rate critical value according to the water quality monitoring data and a preset water quality standard limiting value;
and S720, obtaining the exceeding probability information according to the water quality degradation rate critical value based on the probability calculation model.
In the remote water quality risk early warning method of the embodiment, an optimization line fitting method based on empirical frequency point data is adopted, historical water quality monitoring data of each monitoring station are input, a plurality of water quality indexes are obtained, and historical water quality degradation rate of each water quality index is calculated, namely, a time sequence sample based on water quality degradation is subjected to frequency discharge according to the degradation rate, and a theoretical frequency curve is drawn based on the empirical frequency point data, so that a probability calculation model of the water quality degradation rate is obtained; when the on-line water quality monitoring data to be evaluated is input into the water quality degradation rate critical value calculation model, the water quality degradation rate critical value can be calculated according to the real-time water quality monitoring value and the preset water quality standard limiting value, wherein the water quality standard limiting value comprises a plurality of standard limiting values of water quality indexes; through the critical value of the water quality degradation rate, the probability that the water quality monitoring data is possibly over-limited can be solved in the probability calculation model, and over-standard probability information is obtained, so that the risk level of the water quality degradation can be judged.
The early warning device 300 is an application layer, and calls water quality monitoring data and risk prediction information of the risk assessment cloud platform 200 are realized, the early warning device 300 can be an existing monitoring platform or a mobile monitoring terminal, and position information, water quality monitoring data, overproof probability information and risk prediction information of a concerned monitoring station can be acquired from the risk assessment cloud platform 200, so that automatic early warning of water quality risks is realized.
The practical application of the remote water quality risk early warning method provided by the invention will be described in detail by specific implementation examples.
The method is considered from the direction that the water quality change has randomness, based on the water quality data of the main canal in the central line of north-south water regulation, based on the sample research, the probability of occurrence of harmful events (the water quality deterioration exceeds the limit value) is researched, and the probability is used for describing the possibility that the future water quality deterioration exceeds the limit value according to the real-time water quality monitoring data.
Frequency of time sequence samples based on water quality degradation is arranged according to the degradation rate, and a theoretical frequency curve is drawn based on the empirical frequency point data, so that the probability of different degradation rates is obtained; and then, obtaining a critical value of the water quality degradation rate according to the water quality real-time monitoring data so as to obtain the exceeding probability information.
The method of calculating the water quality deterioration rate will be described below.
Firstly, the degradation rate and the change characteristics of each water quality index need to be calculated and determined, monitoring data of eight indexes of the south-to-north water tuning turnout station are selected for water quality degradation time sequence analysis, namely, a plurality of water quality indexes are obtained, and it needs to be explained that the eight selected water quality indexes can be divided into three different index types: the neutral index, the forward index, and the reverse index can reflect the water quality in various aspects.
Neutral index: the closer the index is to 8, the better the water quality is; the water quality index is pH value. The water quality deterioration rate of the index can be expressed as:
wherein, IpHiIndicates the ith monitor value, as follows.
Forward type index: the larger the index is, the better the water quality is; the water quality index is dissolved oxygen. The water quality deterioration rate of the index can be expressed as:
reverse type index: the smaller the index is, the better the water quality is; the water quality index includes permanganate index and five-day Biochemical Oxygen Demand (BOD)5) Ammonia Nitrogen (NH)3-N), fluoride (as F)-Calculated as SO), faecal coliform (per liter), sulphate (in SO)4 2-Meter), etc. The index of water quality deterioration rate (in terms of BOD)5By way of example) can be expressed as:
the method of calculating the water quality deterioration rate threshold value will be described below.
According to the water taking condition of water plants along the central line engineering of south-to-north water transfer, the central line main canal is mainly used as a secondary protection area of a centralized domestic drinking water plant along the line, and the minimum control standard of water quality is III-class water. From the above, it can be known that the water quality index is mainly divided into three different index types, which are a neutral index, a forward index and a reverse index, respectively, and corresponding water quality degradation rate critical values are obtained respectively.
The water quality deterioration rate critical value of the neutral index is:
wherein v isde-pH-0The pH value of a station (section) is monitored at a certain moment, and 8 is a standard limit value, and the following steps are carried out.
The threshold value of the water quality degradation rate of the forward indicator (taking dissolved oxygen as an example) is:
wherein v isde-DO-sThe standard limit is as follows.
The threshold value of the water quality degradation rate of the converse type index (taking five-day biochemical oxygen demand as an example) is as follows:
it should be noted that the critical value of the water quality degradation rate of a certain water quality indicator represents the inter-month water quality degradation rate at which "overrun" may occur in the next month, and the occurrence probability of the critical value of the water quality degradation rate is the maximum probability P (overrun probability) that the water quality indicator may exceed the standard limit in the next month, it can be understood that the information of the overrun probability can be obtained according to the critical value of the water quality degradation rate, and the overrun probability can be obtained through the following formula:
wherein t is betai(x-a0i)；tpi＝β(vde-i-max-a0i)。
Specifically, because the calculation of the overrun probability of the water quality index needs to be based on the estimation of a frequency curve parameter, the invention provides an overrun probability calculation method based on an optimization line fitting method, the historical water quality degradation rate of a section is used as a sample for calculating the overrun probability, the empirical frequency is calculated by a mathematical expectation formula, and the mathematical expectation formula is as follows:
it should be noted that, because the pearson III curve fitting effect is good, a pearson III distribution line type is selected to fit the historical water quality degradation rate sample, based on the principle of the least square method, the conventional moment method is adopted to carry out parameter estimation on three parameters of the pearson III curve, and through programming, the automatic optimization fit line of the pearson III curve is realized, and the optimal fit line result is sought; calculating an 'overrun' degradation rate critical value of the water quality according to the real-time water quality monitoring data of the section to be evaluated; and solving the occurrence probability of the critical value in a probability calculation model; thereby calculating the section water quality index overrun probability and judging the risk level.
Specifically, a corresponding water area function category is selected according to the national standard, and single-factor evaluation is performed, in this embodiment, based on the calculated overrun probabilities of the eight water quality indexes, the water quality index corresponding to the maximum overrun probability is selected as the "controllability index" of the water quality risk of the cross section, that is, the cross section performs risk level evaluation according to the overrun probability obtained by the following formula:
P＝maxPi＝maxPi(x>vde-i-max)
wherein i represents different water quality indexes.
Generally, the water supply guarantee rate of urban public facilities and resident water is generally controlled to be more than 95%. Therefore, the highest level threshold of the cross-section water quality risk is set to be 5%; that is, when the overrun probability of the "controllability index" exceeds 5%, the cross section may be set to enter the high-water-quality risk region, that is, the cross section is at the first risk level.
According to the "3 σ" principle of normal distribution, basically, the interval (μ -3 σ, μ +3 σ) can be regarded as the actually possible value interval of the random variable X, and the judgment criterion of the fourth risk level can be obtained according to the following formula:
∵P{|X-μ|＜3σ}＝2Φ(3)-1＝0.9974
therefore, the minimum level threshold of the cross-section water quality risk is set to be 0.135%; that is, when the overrun probability of the "controllability index" is less than 0.135%, the fracture surface is considered to have no risk of water quality, that is, the fracture surface is at the fourth risk level.
Similarly, (mu +2 sigma) can be used as a critical value of the water quality risk area in the calculation of the quantitative random variable X, and the judgment standard of the second risk level and the third risk level can be obtained according to the following formula:
∵P{|X-μ|＜2σ}＝2Φ(2)-1＝0.9544
therefore, the intermediate level threshold of the cross-section water quality risk is set to be 2.28%; when the overrun probability of the controllability index is more than 2.28% and less than 5%, the section is considered to face the water quality risk, namely the section is in a second risk level; when the overrun probability of the "controllability index" is greater than 0.135% and less than 2.28%, the fracture surface may be considered to be at a low quality risk, and the fracture surface is at a third risk level.
In summary, the threshold distribution of the overrun probability of the section "controllability index" is shown in table 1 below:
TABLE 1 Cross-section Water Risk threshold List based on Water quality index degradation Rate
| Risk rating | Height of | In | Is low in | Is free of |
| Probability of controllability index exceeding standard limit | Over 5 percent | 2.28％-5％ | 0.135％-2.28％ | Less than 0.135% |
Specifically, the water quality overrun probability and risk level of the turnout station obtained by the correlation calculation are shown in the following table 2:
table 2 water quality overrun probability and risk class list based on real-time monitoring values of turnout station
As shown in Table 2, the water quality index having the greatest influence on water quality is pH value, and the turnout station is located in a high risk area.
As shown in fig. 2, a second aspect of the present invention provides a cloud platform-based remote water quality risk early warning system, which includes an information grasping apparatus 100, a risk assessment cloud platform 200, and an early warning apparatus 300, where the information grasping apparatus 100 is configured to grasp water quality monitoring data of multiple monitoring sites and upload the data to the risk assessment cloud platform 200; the risk assessment cloud platform 200 is used for performing risk assessment on the water quality monitoring data to obtain risk forecast information; the early warning device 300 is configured to receive the risk prediction information and output risk early warning information according to the risk prediction information.
The risk assessment cloud platform 200 is respectively in communication connection with the information grabbing device 100 and the early warning device 300, water quality monitoring data of a plurality of existing monitoring stations are grabbed through the information grabbing device 100, water quality monitoring is cached and uploaded to the risk assessment cloud platform 200, after the risk assessment cloud platform 200 acquires the water quality monitoring data, risk assessment can be carried out on the water quality monitoring data, risk forecast information is calculated, integration of the water quality monitoring data of the multiple stations is facilitated, data sharing is convenient to achieve, the risk forecast information is sent to the early warning device 300 through the risk assessment cloud platform 200, the early warning device 300 can output risk early warning information according to the risk forecast information, automatic early warning of water quality risks can be achieved, centralized risk early warning can be carried out on scattered isolated data of cross-industry and cross-unit through real-time acquisition of the water quality monitoring data of the multiple monitoring stations and risk assessment, is favorable for realizing multi-site water quality risk management.
Different from the scheme of single-site online water quality data real-time monitoring, the cloud platform-based remote water quality risk early warning system of the embodiment of the invention can realize the conventional functions of acquisition, cleaning, storage and the like of multi-site water quality monitoring data, solve the problem of existing water quality monitoring data isolated island, carry out risk assessment on the water quality monitoring data through the specially developed risk assessment cloud platform 200,
the remote water quality risk early warning system is different from other similar researches in that a water quality exceeding probability calculation model of each monitoring index is built based on historical water quality monitoring data, exceeding probability and risk level of a certain time period in the future are calculated according to the water quality monitoring data, and water quality risk management is achieved.
As shown in fig. 9, an operation control device 900 according to a third embodiment of the present invention includes at least one control processor 920 and a memory 910 for communication connection with the at least one control processor; the memory 910 stores instructions executable by the at least one control processor 920, and the instructions are executed by the at least one control processor 920 to enable the at least one control processor 920 to perform the remote water quality risk pre-warning method of the first aspect.
The water quality monitoring data of a plurality of existing monitoring stations are captured through the information capturing device 100, water quality monitoring is cached and then uploaded to the risk assessment cloud platform 200, after the risk assessment cloud platform 200 acquires the water quality monitoring data, risk assessment can be conducted on the water quality monitoring data, risk forecast information is obtained through calculation, integration of the water quality monitoring data of the plurality of stations is facilitated, data sharing is convenient to achieve, the risk assessment cloud platform 200 sends the risk forecast information to the early warning device 300, the early warning device 300 can output risk early warning information according to the risk forecast information, automatic early warning of water quality risks can be achieved, centralized risk early warning can be conducted on scattered isolated data of cross-industry and cross-unit through obtaining the water quality monitoring data of the plurality of monitoring stations in real time and conducting risk assessment, and multi-station water quality risk management is facilitated.
In a fourth aspect, the present invention provides a computer-readable storage medium, which stores computer-executable instructions for causing a computer to execute the remote water quality risk early warning method according to the first aspect. The water quality monitoring data of a plurality of existing monitoring stations are captured through the information capturing device 100, water quality monitoring is cached and then uploaded to the risk assessment cloud platform 200, after the risk assessment cloud platform 200 acquires the water quality monitoring data, risk assessment can be conducted on the water quality monitoring data, risk forecast information is obtained through calculation, integration of the water quality monitoring data of the plurality of stations is facilitated, data sharing is convenient to achieve, the risk assessment cloud platform 200 sends the risk forecast information to the early warning device 300, the early warning device 300 can output risk early warning information according to the risk forecast information, automatic early warning of water quality risks can be achieved, centralized risk early warning can be conducted on scattered isolated data of cross-industry and cross-unit through obtaining the water quality monitoring data of the plurality of monitoring stations in real time and conducting risk assessment, and multi-station water quality risk management is facilitated.
One of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media or non-transitory media and communication media or transitory media. The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks, DVD, or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
The embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention.
Claims (10)
1. A remote water quality risk early warning method is applied to a remote water quality risk early warning system and is characterized in that the remote water quality risk early warning system comprises an information grabbing device, a risk assessment cloud platform and an early warning device, and the method comprises the following steps:
the information grabbing device grabs water quality monitoring data of a plurality of monitoring stations and uploads the water quality monitoring data to the risk assessment cloud platform;
the risk assessment cloud platform acquires the water quality monitoring data;
the risk assessment cloud platform carries out risk assessment on the water quality monitoring data to obtain risk forecast information, and sends the risk forecast information to the early warning device;
and the early warning device outputs risk early warning information according to the risk forecast information.
2. The remote water quality risk early warning method according to claim 1, wherein after the water quality monitoring data is obtained, the method further comprises:
cleaning the water quality monitoring data to screen out qualified data;
and storing the qualified data.
3. The remote water quality risk early warning method according to claim 1, further comprising:
the risk assessment cloud platform acquires position information of a plurality of monitoring sites;
the risk assessment cloud platform is provided with a plurality of data tables according to different monitoring stations, and the data tables store the water quality monitoring data and the position information corresponding to the monitoring stations.
4. The remote water quality risk early warning method according to claim 1, wherein the risk assessment of the water quality monitoring data to obtain risk forecast information comprises:
calculating to obtain standard exceeding probability information according to the water quality monitoring data;
and obtaining risk forecast information according to the overproof probability information, wherein the risk forecast information is used for expressing the water quality risk degree of the water quality monitoring data.
5. The remote water quality risk early warning method according to claim 4, wherein before the overproof probability information is obtained by calculation according to the water quality monitoring data, a probability calculation model of the water quality degradation rate is established according to historical water quality monitoring data;
obtaining risk forecast information according to the overproof probability information comprises the following steps:
comparing the overproof probability information with a preset probability threshold;
and obtaining risk forecast information according to the threshold interval in which the superstandard probability information is located, wherein the risk forecast information comprises a first risk level, a second risk level, a third risk level and a fourth risk level.
6. The remote water quality risk early warning method according to claim 1, wherein the outputting risk early warning information according to the risk forecast information comprises at least one of:
outputting a light warning signal according to the risk forecast information;
outputting a sound warning signal according to the risk forecast information;
sending remote warning information to water quality management personnel according to the risk forecast information;
the method further comprises the following steps: and the early warning device calls the water quality monitoring data and the risk forecasting information.
7. The remote water quality risk early warning method according to claim 5, wherein the constructing a probability calculation model of the water quality degradation rate according to the historical water quality monitoring data comprises:
acquiring input historical water quality monitoring data;
acquiring a plurality of water quality indexes, and calculating historical water quality degradation rates of the plurality of water quality indexes according to the historical water quality monitoring data;
fitting the historical water quality degradation rate by adopting an optimization line fitting method and optimizing parameters of a distribution function to obtain a probability calculation model of the water quality degradation rate;
the method for calculating and obtaining the standard exceeding probability information according to the water quality monitoring data comprises the following steps:
obtaining a water quality degradation rate critical value according to the water quality monitoring data and a preset water quality standard limiting value on the basis of a water quality degradation rate critical value calculation model;
and obtaining the exceeding probability information according to the water quality degradation rate critical value based on the probability calculation model.
8. The utility model provides a long-range quality of water risk early warning system based on cloud platform which characterized in that includes:
the information grabbing device is used for grabbing water quality monitoring data of a plurality of monitoring stations and uploading the water quality monitoring data to the risk assessment cloud platform;
the risk assessment cloud platform is used for carrying out risk assessment on the water quality monitoring data to obtain risk forecast information;
and the early warning device is used for receiving the risk forecast information and outputting risk early warning information according to the risk forecast information.
9. An operation control device comprising at least one control processor and a memory for communicative connection with the at least one control processor; the memory stores instructions executable by the at least one control processor to enable the at least one control processor to perform the remote water quality risk warning method of any one of claims 1 to 7.
10. A computer-readable storage medium storing computer-executable instructions for causing a computer to perform the remote water quality risk early warning method according to any one of claims 1 to 7.
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