CN114819527B - Water environment monitoring data processing method based on river growth system - Google Patents
Water environment monitoring data processing method based on river growth system Download PDFInfo
- Publication number
- CN114819527B CN114819527B CN202210334604.4A CN202210334604A CN114819527B CN 114819527 B CN114819527 B CN 114819527B CN 202210334604 A CN202210334604 A CN 202210334604A CN 114819527 B CN114819527 B CN 114819527B
- Authority
- CN
- China
- Prior art keywords
- information
- dimensional
- river
- value
- monitoring
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 261
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 82
- 238000003672 processing method Methods 0.000 title claims abstract description 9
- 238000011144 upstream manufacturing Methods 0.000 claims description 137
- 238000000034 method Methods 0.000 claims description 39
- 238000012545 processing Methods 0.000 claims description 32
- 238000001514 detection method Methods 0.000 claims description 29
- 230000008859 change Effects 0.000 claims description 21
- 238000006243 chemical reaction Methods 0.000 claims description 17
- 238000003066 decision tree Methods 0.000 claims description 6
- 238000010606 normalization Methods 0.000 claims description 4
- 230000006399 behavior Effects 0.000 claims description 3
- 239000002245 particle Substances 0.000 claims description 3
- 230000008569 process Effects 0.000 description 11
- 238000007726 management method Methods 0.000 description 6
- 238000004590 computer program Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 238000007599 discharging Methods 0.000 description 3
- 239000010865 sewage Substances 0.000 description 3
- 230000001360 synchronised effect Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 241000195493 Cryptophyta Species 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000005507 spraying Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
- 239000002351 wastewater Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A20/00—Water conservation; Efficient water supply; Efficient water use
- Y02A20/20—Controlling water pollution; Waste water treatment
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Development Economics (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Educational Administration (AREA)
- Entrepreneurship & Innovation (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Health & Medical Sciences (AREA)
- General Business, Economics & Management (AREA)
- General Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Game Theory and Decision Science (AREA)
- Computing Systems (AREA)
- Life Sciences & Earth Sciences (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Chemical & Material Sciences (AREA)
- Pathology (AREA)
- Medicinal Chemistry (AREA)
- Primary Health Care (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- Immunology (AREA)
- Food Science & Technology (AREA)
- Artificial Intelligence (AREA)
- Computational Linguistics (AREA)
- Evolutionary Computation (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a water environment monitoring data processing method based on a river growth system, which comprises the following steps: if the one-dimensional estuary end judges that the acquired first river reach monitoring data do not meet a first preset requirement, generating first inquiry information and sending the first inquiry information to the two-dimensional estuary end, and after receiving the first inquiry information, the two-dimensional estuary end generates second inquiry information and sends the second inquiry information to the three-dimensional estuary end; the three-dimensional river length end sends first feedback information to the two-dimensional river length end; after receiving the first feedback information, the two-dimensional estuary end does not receive inquiry information which is sent by other one-dimensional estuary ends and is the same as the first inquiry information within a second preset time period, and sends second feedback information to the one-dimensional estuary end; and the one-dimensional estuary end generates first control data after receiving the second feedback information, broadcasts the first control data, and accounts for other one-dimensional estuary ends, two-dimensional estuary ends and three-dimensional estuary ends.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a water environment monitoring data processing method based on a river growth system.
Background
The river growth control is mainly characterized in that each river growth is responsible for the management and protection work of corresponding rivers and lakes, four-level river growth systems of province, city, county and county are established, and in order to enhance the water environment treatment, each river growth needs to carry out data acquisition, data processing, data monitoring and early warning on various parameters of the water environment.
In the prior art, each level of river reach can only carry out data unified acquisition and monitoring on water resources in the river reach area under jurisdiction, if river reach of the same river reach has water environment pollution problem for early warning, but the upstream midstream and the downstream of the river reach belong to different provinces, cities and counties, the river reach of the fixed area under jurisdiction cannot directly share the water environment detection data of the river reach of the same river reach, and meanwhile, the river reach of the same river reach cannot guarantee the authenticity of filling and acquiring the detection data of the water resources by each level of river reach.
Therefore, it is urgently needed to solve the technical problem how to efficiently and truly count the water environment detection data of different river reach and the water environment treatment under the river growth system.
Disclosure of Invention
The embodiment of the invention provides a water environment monitoring data processing method based on river growth. By combining decision trees and a block chain technology, river water environment detection data and information of different river reach can be rapidly and really stored under a system of river growth, and different management and control modes are adopted according to different data conditions.
The first aspect of the embodiments of the present invention provides a water environment monitoring data processing method based on a river growth system, which pre-configures a one-dimensional river length end, a two-dimensional river length end, and a three-dimensional river length end, and specifically includes the following steps:
generating a multi-dimensional river length decision tree based on authority information of a one-dimensional river length end, a two-dimensional river length end and a three-dimensional river length end, and forming a river length block chain according to the one-dimensional river length end, the two-dimensional river length end and the three-dimensional river length end;
the one-dimensional river length end broadcasts after acquiring first river section monitoring data at a first river section, and other one-dimensional river length ends, two-dimensional river length ends and three-dimensional river length ends are booked;
if the one-dimensional estuary end judges that the acquired first river reach monitoring data do not meet a first preset requirement, generating first inquiry information and sending the first inquiry information to the two-dimensional estuary end, and after receiving the first inquiry information, the two-dimensional estuary end generates second inquiry information and sends the second inquiry information to the three-dimensional estuary end;
the three-dimensional estuary end does not receive inquiry information which is sent by other two-dimensional estuary ends and is the same as the second inquiry information within a first preset time period, and then first feedback information is sent to the two-dimensional estuary end;
after receiving the first feedback information, the two-dimensional estuary end does not receive inquiry information which is sent by other one-dimensional estuary ends and is the same as the first inquiry information within a second preset time period, and then sends second feedback information to the one-dimensional estuary end;
and the one-dimensional river leader generates first control data after receiving the second feedback information, broadcasts the first control data, and accounts for other one-dimensional river leader, the two-dimensional river leader and the three-dimensional river leader.
Optionally, in a possible implementation manner of the first aspect, the method further includes:
if the three-dimensional estuary end receives other second inquiry information which is sent by other two-dimensional estuary ends and is the same as the second inquiry information in a first preset time period, resetting the first preset time period, and updating the starting point of the reset first preset time period;
if other second inquiry information which is sent by other two-dimensional estuary ends and is the same as the second inquiry information is not received within the reset first preset time period, generating second control data and directly sending the second control data to one-dimensional estuary end under the two-dimensional estuary end and the other one-dimensional estuary end under the other different two-dimensional estuary end;
and after the one-dimensional estuary end under the two-dimensional estuary end and the other one-dimensional estuary end under the other different two-dimensional estuary end receive second control data, implementing control processing on the river reach and broadcasting the second control data, and accounting the other one-dimensional estuary ends, the two-dimensional estuary ends and the three-dimensional estuary ends.
Optionally, in a possible implementation manner of the first aspect, the method further includes:
after the two-dimensional river length end receives the first feedback information, if query information which is sent by other one-dimensional river length ends and is the same as the first query information is received in a second preset time period, third control data are generated and directly sent to the one-dimensional river length end under the two-dimensional river length end and the other one-dimensional river length end under the same two-dimensional river length end;
and after the one-dimensional river length end under the two-dimensional river length end and the other one-dimensional river length end under the same two-dimensional river length end receive the third control data, implementing control processing on the river reach and broadcasting the third control data, and carrying out bookkeeping on other one-dimensional river length ends, the two-dimensional river length end and the three-dimensional river length end.
Optionally, in a possible implementation manner of the first aspect, the broadcasting is performed after the one-dimensional estuary site obtains the first river reach monitoring data at the first river reach, and the accounting is performed at other one-dimensional estuary sites, the two-dimensional estuary site, and the three-dimensional estuary site, specifically includes:
determining a first river reach interval at a first river reach of a one-dimensional river length end, and setting an upstream edge monitoring point, a midstream monitoring point and a downstream edge monitoring point in the first river reach interval;
generating upstream monitoring information, midstream monitoring information and downstream monitoring information according to the upstream edge monitoring point, the midstream monitoring point and the downstream edge monitoring point, and obtaining first river reach monitoring data according to the upstream monitoring information, the midstream monitoring information and the downstream monitoring information;
obtaining a monitoring information change trend value according to the difference value of the upstream monitoring information and the downstream monitoring information, and comparing the midstream monitoring information with the upstream monitoring information if the monitoring information change trend value is greater than a preset trend value;
if the midstream monitoring information corresponds to the upstream monitoring information, determining that the target position is between a midstream monitoring point and a downstream edge monitoring point;
and if the midstream monitoring information does not correspond to the upstream monitoring information, determining that the target position is located between the upstream edge monitoring point and the midstream monitoring point.
Optionally, in a possible implementation manner of the first aspect, in the step of obtaining a change trend value of the monitoring information according to a difference value between the upstream monitoring information and the downstream monitoring information, and if the change trend value of the monitoring information is greater than a preset trend value, comparing the midstream monitoring information with the upstream monitoring information, the step specifically includes:
acquiring upstream PH value information, upstream temperature information, downstream PH value information and downstream temperature information which are respectively included in the upstream monitoring information and the downstream monitoring information;
comparing the upstream temperature information with reference temperature information to obtain upstream compensation information of the upstream PH value information, and performing compensation processing on the upstream PH value information according to the upstream compensation information;
comparing the downstream temperature information with reference temperature information to obtain downstream compensation information of the downstream PH value information, and compensating the downstream PH value information according to the downstream compensation information;
obtaining a monitoring information change trend value according to the upstream PH value information, the downstream PH value information and the distance information between the upstream edge monitoring point and the downstream edge monitoring point after compensation processing, obtaining average temperature information according to the upstream temperature information and the downstream temperature information, and processing a standard trend value according to the average temperature information to obtain a preset trend value;
and if the variation trend value is larger than the preset trend value, comparing the mid-stream PH value information with the upstream PH value information.
Optionally, in a possible implementation manner of the first aspect, in the step of obtaining a change trend value of the monitoring information according to the upstream PH value information, the downstream PH value information, and the distance information between the upstream edge monitoring point and the downstream edge monitoring point after the compensation processing, obtaining average temperature information according to the upstream temperature information and the downstream temperature information, and processing the standard trend value according to the average temperature information to obtain the preset trend value, the method specifically includes:
the monitoring information variation trend value and the preset trend value are calculated by the following formulas,
wherein,for compensation processed upstream PH information, based on a predetermined criterion>To compensate for upstream PH information prior to processing, T 1 As upstream temperature information, T 2 As reference temperature information, t 1 Is a first temperature weighted value, A 1 Is a temperature constant value>For compensating the processed downstream PH value information, based on the PH value information>To compensate for downstream PH information prior to processing, q 1 To monitor the information trend value,/ 1 For distance information between upstream edge monitoring points and downstream edge monitoring points, g 1 Is a first normalized value, g 2 Is a second normalized value, t 2 Is a second temperature weighted value, q 3 Is a standard trend value.
Optionally, in a possible implementation manner of the first aspect, in the step of obtaining the upstream PH information, the upstream temperature information, the downstream PH information, and the downstream temperature information respectively included in the upstream monitoring information and the downstream monitoring information, the method specifically includes:
respectively acquiring monitoring point attribute data of an upstream edge monitoring point, a midstream monitoring point and a downstream edge monitoring point, wherein the monitoring point attribute data comprises river channel width information and river flow speed information;
comparing the river channel width information with preset width information to obtain a first time conversion trend value;
comparing the river flow speed information with preset flow speed information to obtain a second time conversion trend value;
adjusting a reference time period according to the first time conversion trend value and the second time conversion trend value to obtain an adjusted detection time period;
and controlling the pH value detection devices corresponding to the upstream edge monitoring point, the midstream monitoring point and the downstream edge monitoring point to generate upstream pH value information and downstream pH value information according to the frequency corresponding to the detection time period.
Alternatively, in one possible implementation form of the first aspect,
in the step of adjusting the reference time according to the first time conversion trend value and the second time conversion trend value to obtain the adjusted detection time period, the method specifically includes:
the detection time period is calculated by the following formula,
wherein D is 1 For the detection of the time period, d 1 Information on the width of the river, d 2 For presetting width information, v 1 As information on the velocity of the river flow, v 2 For presetting flow velocity information, D 2 Is a reference time period.
Optionally, in a possible implementation manner of the first aspect, the method further includes:
counting the upstream monitoring information, the midstream monitoring information and the downstream monitoring information collected by each one-dimensional river length end to obtain a sub-pollution image corresponding to each one-dimensional river length end;
obtaining a river reach pollution degree image according to the total node number of the two-dimensional river long end, the total node number of the one-dimensional river long end and the sub-pollution image;
calculating a river reach pollution degree image by the following formula:
wherein H 1 Is an image of the pollution level of the river reach h i Is the sub-polluted image corresponding to the ith one-dimensional river length end, N is the upper limit value of the one-dimensional river length end, N is the number value of the one-dimensional river length end, K 1 A weight value of total portrait, h a Is the sub-contaminated image corresponding to the alpha-one-dimensional river length end,the mid-stream PH value information, k, corresponding to the mid-stream monitoring information 1 Is the weight value of the first sub-image, alpha 1 First sub-portrait constant value, L Upper part of Is upstream water body granularity monitoring information, L, corresponding to the upstream monitoring information Lower part Downstream water particle size monitoring information, L, corresponding to downstream monitoring information In The midstream water body granularity monitoring information, k, corresponding to the midstream monitoring information 2 Is the weight value of the second subimage, alpha 2 The second sub-image is a constant value.
Optionally, in a possible implementation manner of the first aspect, the method further includes:
if the river reach pollution degree portrait is larger than a preset pollution degree portrait value, voting is initiated in the river reach block chain, and the voting target comprises an integral governing river reach and a split governing river reach;
counting the voting behaviors of the one-dimensional river leader, the two-dimensional river leader and the three-dimensional river leader respectively to obtain first voting data and second voting data;
obtaining a first voting coefficient and a second voting coefficient respectively corresponding to the whole governing river reach and the split governing river reach according to different weights of the first voting data, the second voting data, the one-dimensional river reach end, the two-dimensional river reach end and the three-dimensional river reach end;
if the first voting coefficient is larger than the second voting coefficient, the whole governing river reach is sent to the three-dimensional river reach end;
and if the first voting coefficient is smaller than the second voting coefficient, sending the split harnessing river reach to the three-dimensional river reach end.
The first voting coefficient and the second voting coefficient are calculated by the following formulas,
wherein, beta 1 Is the first voting coefficient, beta 2 Is the second voting coefficient, j 1 Is the sum of the votes of the one-dimensional river leader in the first voting data, u 1 Is a one-dimensional voting weight value, j 2 Is the sum of the votes of the two-dimensional river leader in the first voting data, u 2 For two-dimensional voting weight value, j 3 Is the sum of the votes, u, of the three-dimensional river leader in the first voting data 3 For three-dimensional voting weight values, f 1 Is the sum of the votes at the one-dimensional river leader in the second voting data, f 2 Is the sum of the votes of the two-dimensional river leader in the second voting data, f 3 The sum of the votes of the three-dimensional river leader in the second voting data.
In a second aspect of the embodiments of the present invention, a storage medium is provided, in which a computer program is stored, which, when being executed by a processor, is adapted to carry out the method according to the first aspect of the present invention and various possible designs of the first aspect of the present invention.
The invention provides a water environment monitoring data processing method based on river growth. A plurality of one-dimensional river length ends, two-dimensional river length ends and three-dimensional river length ends with different dimensions are arranged according to the river length system, corresponding river length block chains are obtained, data accounting can be achieved through the river length block chains, the situation that some river lengths are tampered with is avoided, and the authenticity of river water environment data is guaranteed. When the river water control data are generated, the river water control data are determined according to different pollution ranges of the river water, the river lengths which have the common jurisdiction right on the polluted river channels can be determined quickly according to different data inquiry, the river lengths with the corresponding jurisdiction right can determine the corresponding control data, abnormal monitoring data are reported step by step on the basis of the three-dimensional river length end, the control data are transmitted quickly, and recording is carried out according to the block chain.
According to the technical scheme provided by the invention, when the river water is monitored, 3 groups of detection equipment are arranged at the river section managed by each river length and are respectively positioned at the upstream, the midstream and the downstream of the corresponding river section, and the pH value and the water body granularity of the river water are mainly detected. And when the pH value of the river water is measured and calculated, the pH value is compensated by combining the corresponding temperature and the flow rate of the water, so that the measured pH value is more accurate. Further avoiding the inaccuracy of PH value measurement caused by discharging high-temperature waste water to rivers in some factories. According to the method and the device, the corresponding detection time period can be obtained according to the dynamic adjustment of the river width information and the river flow speed information, and the PH value information in the time period can be obtained according to the corresponding detection time period, so that the PH value information is more accurate, the authenticity of data is guaranteed through a block chain, and the accuracy of the water body detection and the corresponding numerical value can also be guaranteed.
The technical scheme provided by the invention can comprehensively calculate according to factors of multiple dimensions such as the total node number of the two-dimensional river estuary, the total node number of the one-dimensional river estuary and the river reach pollution degree portrait obtained by the sub-pollution portrait to obtain the total pollution degree portrait of the total river reach corresponding to the three-dimensional river estuary.
Drawings
Fig. 1 is a schematic view of an application scenario of the technical solution provided by the present invention;
fig. 2 is a flowchart of a first embodiment of a method for processing water environment monitoring data based on river growth;
FIG. 3 is a flow chart of a second embodiment of a method for processing water environment monitoring data based on river growth;
fig. 4 is a flowchart of a third embodiment of a method for processing water environment monitoring data based on river growth.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in other sequences than those illustrated or described herein.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the internal logic of the processes, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
It should be understood that in the present application, "comprising" and "having" and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements explicitly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that, in the present invention, "a plurality" means two or more. "and/or" is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "comprises A, B and C" and "comprises A, B, C" means that A, B, C all comprise, "comprises A, B or C" means that one of three A, B, C is comprised, "comprises A, B and/or C" means that any 1 or any 2 or 3 of three A, B, C are comprised.
It should be understood that in the present invention, "B corresponding to a", "a corresponds to B", or "B corresponds to a" means that B is associated with a, and B can be determined from a. Determining B from a does not mean determining B from a alone, but may be determined from a and/or other information. And the matching of A and B means that the similarity of A and B is greater than or equal to a preset threshold value.
As used herein, "if" can be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on context.
The technical solution of the present invention will be described in detail below with specific examples. These several specific embodiments may be combined with each other below, and details of the same or similar concepts or processes may not be repeated in some embodiments.
As shown in fig. 1, an application scenario schematic diagram of the technical scheme provided by the present invention includes a one-dimensional river length end, a two-dimensional river length end, and a three-dimensional river length end, where the one-dimensional river length end, the two-dimensional river length end, and the three-dimensional river length end are arranged in a tree diagram in terms of management authority, and the three-dimensional river length end has the highest role in management authority, and can manage all the two-dimensional river length ends and the one-dimensional river length end and receive corresponding data. The two-dimensional estuary end can only manage the one-dimensional estuary end connected with the two-dimensional estuary end and receive corresponding data, the two-dimensional estuary end has a role of managing the corresponding one-dimensional estuary end, and the one-dimensional estuary end can only be managed.
The invention provides a water environment monitoring data processing method based on a river growth system, which is characterized in that a one-dimensional river length end, a two-dimensional river length end and a three-dimensional river length end are configured in advance, and as shown in figure 2, the method specifically comprises the following steps:
step S110, generating a multi-dimensional river length decision tree based on authority information of the one-dimensional river length end, the two-dimensional river length end and the three-dimensional river length end, and forming a river length block chain according to the one-dimensional river length end, the two-dimensional river length end and the three-dimensional river length end. According to the technical scheme provided by the invention, the multi-dimensional river length decision tree and the river length block chain are obtained firstly, the grade of the role corresponding to each river length end can be determined through the multi-dimensional river length decision tree, and then the river length block chain is formed according to a plurality of connected river lengths, so that the storage of data can be realized, and the falsification can be prevented. In the mode, the one-dimensional river length end is not used as a center, and the one-dimensional river length ends of different river reach can be mutually booked, so that mutual supervision of data is realized, and upper-to-lower and upper-to-upper supervision are realized.
And step S120, the one-dimensional estuary end acquires the first estuary monitoring data of the first estuary and broadcasts the first estuary monitoring data, and the other one-dimensional estuary ends, the two-dimensional estuary ends and the three-dimensional estuary end account. Each one-dimensional estuary end can obtain first river reach monitoring data of a corresponding first river reach through monitoring equipment of a corresponding river water environment, and the first river reach monitoring data can be broadcasted at the moment so that other estuary ends can be booked, and monitoring data can not be tampered.
Step S130, if the one-dimensional estuary end judges that the acquired first river reach monitoring data do not meet a first preset requirement, generating first inquiry information and sending the first inquiry information to the two-dimensional estuary end, and the two-dimensional estuary end generates second inquiry information and sends the second inquiry information to the three-dimensional estuary end after receiving the first inquiry information. When the first river reach monitoring data do not meet the first preset requirement, it is proved that part of problems may occur in the water body at the moment, so that the first inquiry information needs to be sent to the two-dimensional river reach end at the moment, and the two-dimensional river reach end is informed that a problem occurs in the river reach corresponding to the one-dimensional river reach end. The two-dimensional river length end sends the second query information to the three-dimensional river length end to inform the three-dimensional river length end that the river reach corresponding to the two-dimensional river length end has problems, and the length of the river reach corresponding to the two-dimensional river length end comprises the river reach corresponding to the one-dimensional river length end.
Through the steps, the purpose of sequentially reminding from the lower stage to the upper stage after the water body problem occurs in the river reach monitoring of the long end of a certain one-dimensional river is achieved.
And step S140, if the three-dimensional estuary end does not receive the inquiry information which is sent by other two-dimensional estuary ends and is the same as the second inquiry information, the three-dimensional estuary end sends first feedback information to the two-dimensional estuary end. Under this kind of condition, the pollution of corresponding water environment only takes place for this two-dimentional river length end, does not have other two-dimentional river length ends, so it can directly feed back this two-dimentional river length end, and the purpose of first feedback information is that it only has its river water to appear corresponding problem to tell corresponding two-dimentional river length end, and it can be managed and controlled by oneself. The first preset time period may be 3 days after the time when the second inquiry message is received.
Step S150, after receiving the first feedback information, the two-dimensional estuary end does not receive the query information, which is sent by other one-dimensional estuary ends and is the same as the first query information, within a second preset time period, and then sends a second feedback information to the one-dimensional estuary end. The second preset time period may be 3 days after the first feedback information is received. After the first feedback information is received, if the two-dimensional estuary end does not receive the inquiry information which is sent by other one-dimensional estuary ends and is the same as the first inquiry information, the corresponding water body pollution is proved to be the condition only in the one-dimensional estuary end. The purpose of the second feedback information is to inform the corresponding one-dimensional river long end that only the river water has a corresponding problem, and the corresponding one-dimensional river long end can be automatically controlled.
Step S160, the one-dimensional river leader generates first control data after receiving the second feedback information, the first control data is broadcasted, and other one-dimensional river leader, the two-dimensional river leader and the three-dimensional river leader perform accounting. The one-dimensional estuary end can perform self control after receiving the second feedback information, the control includes spraying corresponding liquid medicine in the water body, searching for a stain discharging point and the like, corresponding control data are broadcasted, and the control record is achieved.
In a possible embodiment, as shown in fig. 3, the technical solution provided by the present invention further includes:
step S210, if the three-dimensional estuary end receives other second query information, which is sent by other two-dimensional estuary ends and is the same as the second query information, within a first preset time period, resetting the first preset time period, and updating the starting point of the reset first preset time period. At this time, the other two-dimensional estuary ends send the same other second inquiry information, which proves that the river reach controlled by the other two-dimensional estuary ends also has a corresponding water problem, so that the first preset time period needs to be reset at this time to judge whether the other river reach has the same problem.
Step S220, if other second query information that is the same as the second query information and is sent by other two-dimensional estuary ends is not received within the reset first preset time period, generating second management and control data to be directly sent to one-dimensional estuary end under the two-dimensional estuary end and another one-dimensional estuary end under another different two-dimensional estuary end. If the same other second inquiry information is not received within the reset first preset time period, it is proved that no other two-dimensional river length end has the same water body problem, so that the three-dimensional river length end is required to perform integral control on two different two-dimensional river length ends, and at the moment, second control data can be generated and directly sent to one-dimensional river length end under the two-dimensional river length end and the other one-dimensional river length end under the other different two-dimensional river length end.
And step S230, after the one-dimensional river length end under the two-dimensional river length end and the other one-dimensional river length end under the other different two-dimensional river length end receive second control data, performing control processing on the river reach, broadcasting the second control data, and performing bookkeeping on the other one-dimensional river length end, the two-dimensional river length end and the three-dimensional river length end. And performing cooperative management and control on the plurality of one-dimensional river length ends which receive the second management and control data. Through the mode, the river length end with synchronous jurisdiction right can be quickly determined when river water problems occur at the river length ends with different roles, and then unified allocation and river water treatment are carried out, so that the river water treatment is consistent in time and degree, and the water body treatment effect is guaranteed.
In a possible embodiment, as shown in fig. 4, the technical solution provided by the present invention further includes:
step S310, after receiving the first feedback information, if query information that is the same as the first query information and is sent by other one-dimensional estuary ends is received within a second preset time period, generating third control data to be directly sent to a one-dimensional estuary end under the two-dimensional estuary end and another one-dimensional estuary end under the same two-dimensional estuary end. At this time, it is proved that no water environment corresponding to the same two-dimensional river length end has a problem, and the two-dimensional river length end having the water environment problem receives the first feedback information. If the inquiry information which is sent by other one-dimensional estuaries and is the same as the first inquiry information is received within a second preset time period, it is proved that at least two one-dimensional estuaries connected with the two-dimensional estuaries have the same water environment problem, so that the two-dimensional estuaries have synchronous jurisdiction rights at the moment, and at the moment, the two one-dimensional estuaries can output corresponding third control data, so that the two one-dimensional estuaries connected with the two one-dimensional estuaries can perform cooperative water environment processing.
Step S320, after the one-dimensional estuary end under the two-dimensional estuary end and the other one-dimensional estuary end under the same two-dimensional estuary end receive the third control data, implementing control processing on the river reach and broadcasting the third control data, and performing bookkeeping on the other one-dimensional estuary ends, the two-dimensional estuary ends and the three-dimensional estuary ends. Through the mode, the river length end with synchronous jurisdiction right can be quickly determined when river water problems occur at the river length ends with different roles, and then unified allocation and river water treatment are carried out, so that the river water treatment is consistent in time and degree, and the water body treatment effect is guaranteed.
In a possible implementation manner, the technical scheme provided by the present invention specifically includes the steps of obtaining the first river reach monitoring data at the first river reach at the one-dimensional river reach end, broadcasting the first river reach monitoring data, and performing billing at the other one-dimensional river reach end, the two-dimensional river reach end, and the three-dimensional river reach end:
determining a first river reach interval at a first river reach of a one-dimensional river length end, and setting an upstream edge monitoring point, a midstream monitoring point and a downstream edge monitoring point in the first river reach interval. Generally, each one-dimensional river long end corresponds to a pre-divided river reach, and a first river reach interval under the control, management and administration of the river reach can be obtained according to the river reach. In order to ensure the accuracy of water body monitoring in the first river reach interval, at least 3 monitoring points are set to detect the water body, and each monitoring point is provided with corresponding detection equipment, such as a PH sensor, a temperature sensor, a flow velocity sensor, water body granularity monitoring (a sensor for monitoring algae) and the like.
And generating upstream monitoring information, midstream monitoring information and downstream monitoring information according to the upstream edge monitoring point, the midstream monitoring point and the downstream edge monitoring point, and obtaining first river reach monitoring data according to the upstream monitoring information, the midstream monitoring information and the downstream monitoring information. The invention can determine the first river reach monitoring data according to the upstream monitoring information, the midstream monitoring information and the downstream monitoring information of one river reach, and the first river reach monitoring data can be in a set form, and the set comprises a plurality of corresponding monitoring information.
And obtaining a monitoring information change trend value according to the difference value of the upstream monitoring information and the downstream monitoring information, and comparing the midstream monitoring information with the upstream monitoring information if the monitoring information change trend value is greater than a preset trend value. The method can firstly obtain the difference value of the upstream monitoring information and the downstream monitoring information to determine the change trend value of the monitoring information, and if the change trend value of the monitoring information is greater than the preset trend value, the pH value of the corresponding river reach is proved to change more at the moment, and the water body pollution is possible, so that the midstream monitoring information and the upstream monitoring information need to be compared at the moment.
In a possible embodiment, the technical solution provided by the present invention specifically includes, in the step of obtaining a change trend value of the monitoring information according to a difference between the upstream monitoring information and the downstream monitoring information, and if the change trend value of the monitoring information is greater than a preset trend value, comparing the midstream monitoring information with the upstream monitoring information:
and acquiring upstream PH value information, upstream temperature information, downstream PH value information and downstream temperature information which are respectively included in the upstream monitoring information and the downstream monitoring information. In the actual PH detection, the water temperature has an influence on the PH detection, and generally, the higher the water temperature is, the smaller the PH of the same water body is. Therefore, the PH value needs to be compensated according to the temperature information, and the accuracy of the PH value sensor can be influenced because many factories discharge sewage with higher temperature.
And comparing the upstream temperature information with reference temperature information to obtain upstream compensation information of the upstream PH value information, and performing compensation processing on the upstream PH value information according to the upstream compensation information. The invention can compensate the upstream PH value information according to the upstream temperature information, so that the upstream PH value information is more accurate.
And comparing the downstream temperature information with reference temperature information to obtain downstream compensation information of the downstream PH value information, and compensating the downstream PH value information according to the downstream compensation information. The invention can compensate the downstream PH value information according to the downstream temperature information, so that the downstream PH value information is more accurate.
And obtaining a monitoring information change trend value according to the upstream PH value information, the downstream PH value information and the distance information between the upstream edge monitoring point and the downstream edge monitoring point after compensation processing, obtaining average temperature information according to the upstream temperature information and the downstream temperature information, and processing the standard trend value according to the average temperature information to obtain a preset trend value. If the difference value between the upstream PH value information and the downstream PH value information is larger, the influence of the drainage point on the PH value of the water body is proved to be larger. Similarly, if the distance information between the upstream edge monitoring point and the downstream edge monitoring point is larger, the influence of the sewage discharge point on the pH value of the water body is proved to be larger. Generally, the standard trend value is set at a certain temperature of the water body, for example, 15 degrees, 25 degrees, and the like, and the present invention also needs to process the standard trend value according to the average temperature information to obtain the preset trend value, so that the preset trend value better conforms to the current temperature scene.
The monitoring information variation trend value and the preset trend value are calculated by the following formulas,
wherein,for compensating the processed upstream PH value information, based on the PH value information>To compensate for upstream PH information prior to processing, T 1 As upstream temperature information, T 2 As reference temperature information, t 1 Is a first temperature weighted value, A 1 Is a temperature constant value>For compensating the processed downstream PH value information, based on the PH value information>To compensate for downstream pH information prior to processing, q 1 To monitor the information trend value,/ 1 For distance information between upstream edge monitoring points and downstream edge monitoring points, g 1 Is a first normalized value, g 2 Is a second normalized value, t 2 Is a second temperature weighted value, q 3 Is a standard trend value. />
By passingThe difference between the upstream temperature information and the reference temperature information can be obtained, if->The larger the upstream PH information after the compensation process is, the larger the upstream PH information is. Pass and/or>A difference between the upstream temperature information and the reference temperature information may be obtained if->The larger the downstream PH information after the compensation process is, the larger the downstream PH information is. Pass and/or>The difference value between the upstream PH value information and the downstream PH value information can be obtained, and the change trend value of the monitoring information is obtained after calculation is carried out by combining the distance information between the upstream edge monitoring point and the downstream edge monitoring point. By>The relation between the average temperature and the reference temperature information can be obtained, so that the calculation process of the standard trend value is under the same compensation temperature with the upstream PH value information and the downstream PH value information, and the variation trend value is more comparable to the preset trend value.
And if the variation trend value is larger than the preset trend value, comparing the mid-stream PH value information with the upstream PH value information.
And if the midstream monitoring information corresponds to the upstream monitoring information, determining that the target position is between a midstream monitoring point and a downstream edge monitoring point. At the moment, the midstream monitoring information is proved to be the same as the upstream monitoring information, and the river reach between the midstream and the upstream is not polluted at the moment, so that the target position is between a midstream monitoring point and a downstream edge monitoring point at the moment, and the method can quickly determine the factory for discharging sewage through a blind channel.
And if the midstream monitoring information does not correspond to the upstream monitoring information, determining that the target position is positioned between an upstream edge monitoring point and a midstream monitoring point. At the moment, the midstream monitoring information is proved to be different from the upstream monitoring information, and the river reach between the midstream and the upstream is polluted, so that the target position is between a midstream monitoring point and an upstream edge monitoring point at the moment.
In a possible implementation manner, in the step of obtaining the upstream PH information, the upstream temperature information, the downstream PH information, and the downstream temperature information respectively included in the upstream monitoring information and the downstream monitoring information, the technical solution provided by the present invention specifically includes:
the method comprises the steps of respectively obtaining monitoring point attribute data of an upstream edge monitoring point, a midstream monitoring point and a downstream edge monitoring point, wherein the monitoring point attribute data comprises river channel width information and river flow speed information. In actual river water, the river channels at different locations may have different widths, flow rates, etc.
And comparing the river channel width information with preset width information to obtain a first time conversion trend value. If river course width information is bigger, then the sample size of the water that corresponding monitoring point contacted is bigger, and the water volume is bigger then the different condition of pH value between the partial water body can appear, if the accuracy of the pH value that needs accurate definite detection this moment, then need longer monitoring.
And comparing the river flow speed information with preset flow speed information to obtain a second time conversion trend value. If the river flow rate information is larger, the sample volume of the water body contacted by the corresponding monitoring point is larger, the situation that the PH values of partial water bodies are different can occur if the water volume is larger, and if the accuracy of the detected PH values needs to be accurately determined at the moment, longer-time monitoring is needed.
And adjusting the reference time period according to the first time conversion trend value and the second time conversion trend value to obtain the adjusted detection time period.
The detection time period is calculated by the following formula,
wherein D is 1 To detect the time period, d 1 As river width information, d 2 To preset width information, v 1 As information on the velocity of the river flow, v 2 To preset flow rate information, D 2 Is a reference time period.The greater the first time transition trend value, the greater the>The larger the second time conversion tendency value is.
And controlling the pH value detection devices corresponding to the upstream edge monitoring point, the midstream monitoring point and the downstream edge monitoring point to generate upstream pH value information and downstream pH value information according to the frequency corresponding to the detection time period. The method can dynamically generate the detection time period according to different attributes of the river reach, thereby ensuring that the PH value information monitored by each river reach is correct.
In a possible embodiment, the technical solution provided by the present invention further includes:
and counting the upstream monitoring information, the midstream monitoring information and the downstream monitoring information collected by each one-dimensional river length end to obtain a sub-pollution image corresponding to each one-dimensional river length end. According to the technical scheme provided by the invention, the river water is actively subjected to unified optimization treatment after the third preset time period, and before the optimization treatment is carried out, the state of the whole river body needs to be determined, namely, the sub-pollution portrait corresponding to each one-dimensional river long end is obtained according to the upstream monitoring information, the midstream monitoring information and the downstream monitoring information.
And obtaining a river reach pollution degree image according to the total node number of the two-dimensional river length end, the total node number of the one-dimensional river length end and the sub-pollution image. If the total number of nodes at the two-dimensional river length end and the total number of nodes at the one-dimensional river length end are more, the corresponding river reach length is proved to be larger, the data possibly reflected by the data monitored by each river reach is more comprehensive, and therefore the pollution degree image needs to be increased at the moment.
Calculating a river reach pollution degree image by the following formula:
wherein H 1 Portraying the pollution level of the river reach, s 1 Is the total number of nodes, theta, at the long end of the one-dimensional river 1 Is a one-dimensional quantity normalization value, s 2 Is the total number of nodes, theta, at the long end of the two-dimensional river 2 For two-dimensional quantity normalization, h i Is the sub-contaminated image corresponding to the ith one-dimensional river length end, N is the upper limit value of the one-dimensional river length end, N is the number value of the one-dimensional river length end, K 1 A weight value of total portrait, h a Is the sub-contaminated image corresponding to the alpha-one-dimensional river length end,the mid-stream PH value information, k, corresponding to the mid-stream monitoring information 1 Is a first subimage weight value, alpha 1 Constant value of the first sub-image, L On the upper part Is upstream water body granularity monitoring information corresponding to the upstream monitoring information, L Lower part Downstream water particle size monitoring information, L, corresponding to downstream monitoring information In (1) The midstream water body granularity monitoring information, k, corresponding to the midstream monitoring information 2 Is a second subimage weight value, alpha 2 The second sub-image constant value.
By passingThe influence value of the sub-contaminated picture on the PH value can be obtainedThe influence value of monitoring information about water body granularity in the sub-polluted images can be obtained, the sub-polluted images corresponding to each one-dimensional river length end are obtained after combination, and finally, the sub-polluted images are based on the average value of all the sub-polluted images>And the total number of nodes s of the long end of the one-dimensional river 1 And the total number of nodes s of the two-dimensional river long end 2 And calculating to obtain a total river reach pollution degree image. The larger the value corresponding to the section pollution degree image is, the more serious the pollution of the river section is.
In a possible embodiment, the technical solution provided by the present invention further includes:
and if the river reach pollution degree portrait is larger than a preset pollution degree portrait value, voting is initiated in the river reach block chain, and the voting targets comprise an integral governing river reach and a split governing river reach. When the river reach pollution degree figure is larger than the preset pollution degree figure value, the river water is proved to need to be actively treated, and when the river reach is treated, the river reach can be generally treated through an integral river reach and a split river reach. The whole river reach is treated by uniformly dispatching all the river long ends under the three-dimensional river long end, and the split treated river reach is treated by each one-dimensional river long end without coordination with other river long ends. Different processing modes are required in different scenes.
And respectively counting the voting behaviors of the one-dimensional river estuary end, the two-dimensional river estuary end and the three-dimensional river estuary end to obtain first voting data and second voting data. When the integral harnessing river reach and the split harnessing river reach are carried out, voting can be selected, the first voting data can be voting in the integral harnessing river reach mode, and the second voting data can be voting in the split harnessing river reach mode.
And obtaining a first voting coefficient and a second voting coefficient respectively corresponding to the whole governing river reach and the split governing river reach according to different weights of the first voting data, the second voting data, the one-dimensional river reach end, the two-dimensional river reach end and the three-dimensional river reach end. According to the technical scheme provided by the invention, different weights are set for each type of the river length end, the weight of the three-dimensional river length end is preferably greater than that of the two-dimensional river length end, and the weight of the two-dimensional river length end is preferably greater than that of the one-dimensional river length end.
The first voting coefficient and the second voting coefficient are calculated by the following formulas,
wherein, beta 1 Is the first voting coefficient, beta 2 Is the second voting coefficient, j 1 Is the sum of the votes of the one-dimensional river leader in the first voting data, u 1 Is a one-dimensional voting weight value, j 2 Is the sum of the votes of the two-dimensional river leader in the first voting data, u 2 For two-dimensional voting weight value, j 3 Is the sum of the votes, u, of the three-dimensional river leader in the first voting data 3 For three-dimensional voting weight values, f 1 Is the sum of the votes at the one-dimensional river leader in the second voting data, f 2 Is the sum of the votes of the two-dimensional river leader in the second voting data, f 3 The sum of the votes of the three-dimensional river leader in the second voting data.
And if the first voting coefficient is greater than the second voting coefficient, sending the whole harnessing river reach to the three-dimensional river reach end. It is now evident that a greater majority of the estuaries are expected to treat the river reach as a whole.
And if the first voting coefficient is smaller than the second voting coefficient, sending the split harnessing river reach to the three-dimensional river reach end. At this time, it is proved that the great majority of the long end of the river hopes to separately treat the river reach.
Through the voting mode, the three-dimensional estuary end can count the treatment ideas of different estuary ends, and subsequent decision making is facilitated.
The present invention also provides a storage medium having a computer program stored therein, the computer program being executable by a processor to implement the methods provided by the various embodiments described above.
The storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media may be any available media that can be accessed by a general purpose or special purpose computer. For example, a storage medium is coupled to the processor such that the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuits (ASIC). Additionally, the ASIC may reside in user equipment. Of course, the processor and the storage medium may reside as discrete components in a communication device. The storage medium may be read-only memory (ROM), random-access memory (RAM), CD-ROMs, magnetic tapes, floppy disks, optical data storage devices, and the like.
The present invention also provides a program product comprising execution instructions stored in a storage medium. The at least one processor of the device may read the execution instructions from the storage medium, and the execution of the execution instructions by the at least one processor causes the device to implement the methods provided by the various embodiments described above.
In the above embodiments of the terminal or the server, it should be understood that the Processor may be a Central Processing Unit (CPU), other general-purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (3)
1. A water environment monitoring data processing method based on a river growth system is characterized by comprising the following steps of:
generating a multi-dimensional river length decision tree based on authority information of a one-dimensional river length end, a two-dimensional river length end and a three-dimensional river length end, and forming a river length block chain according to the one-dimensional river length end, the two-dimensional river length end and the three-dimensional river length end;
the one-dimensional river length end broadcasts after acquiring first river section monitoring data at a first river section, and other one-dimensional river length ends, two-dimensional river length ends and three-dimensional river length ends are booked;
if the one-dimensional estuary end judges that the acquired first river reach monitoring data do not meet a first preset requirement, generating first inquiry information and sending the first inquiry information to the two-dimensional estuary end, and after receiving the first inquiry information, the two-dimensional estuary end generates second inquiry information and sends the second inquiry information to the three-dimensional estuary end;
the three-dimensional estuary end does not receive inquiry information which is sent by other two-dimensional estuary ends and is the same as the second inquiry information within a first preset time period, and then first feedback information is sent to the two-dimensional estuary end;
after receiving the first feedback information, the two-dimensional estuary end does not receive inquiry information which is sent by other one-dimensional estuary ends and is the same as the first inquiry information within a second preset time period, and then sends second feedback information to the one-dimensional estuary end;
the one-dimensional river leader generates first control data after receiving the second feedback information, broadcasts the first control data, and accounts for other one-dimensional river leader, the two-dimensional river leader and the three-dimensional river leader;
if the three-dimensional estuary end receives other second inquiry information which is sent by other two-dimensional estuary ends and is the same as the second inquiry information in a first preset time period, resetting the first preset time period, and updating the starting point of the reset first preset time period;
if other second inquiry information which is sent by other two-dimensional estuary ends and is the same as the second inquiry information is not received within the reset first preset time period, generating second control data and directly sending the second control data to one-dimensional estuary end under the two-dimensional estuary end and the other one-dimensional estuary end under the other different two-dimensional estuary end;
after the one-dimensional river length end under the two-dimensional river length end and the other one-dimensional river length end under the other different two-dimensional river length end receive second control data, the river reach is controlled and processed, the second control data are broadcasted, and the other one-dimensional river length end, the two-dimensional river length end and the three-dimensional river length end are booked;
after receiving the first feedback information, the two-dimensional estuary end generates third control data and directly sends the third control data to one-dimensional estuary end under the two-dimensional estuary end and the other one-dimensional estuary end under the same two-dimensional estuary end if receiving inquiry information which is sent by other one-dimensional estuary ends and is the same as the first inquiry information in a second preset time period;
after receiving third control data, the one-dimensional river length end under the two-dimensional river length end and the other one-dimensional river length end under the same two-dimensional river length end implement control processing on the river reach and broadcast the third control data, and the other one-dimensional river length end, the two-dimensional river length end and the three-dimensional river length end are booked;
the method specifically comprises the following steps of broadcasting after a one-dimensional estuary end acquires first estuary monitoring data of a first estuary, and accounting for other one-dimensional estuary ends, two-dimensional estuary ends and three-dimensional estuary ends:
determining a first river reach interval at a first river reach of a one-dimensional river length end, and setting an upstream edge monitoring point, a midstream monitoring point and a downstream edge monitoring point in the first river reach interval;
generating upstream monitoring information, midstream monitoring information and downstream monitoring information according to the upstream edge monitoring point, the midstream monitoring point and the downstream edge monitoring point, and obtaining first river reach monitoring data according to the upstream monitoring information, the midstream monitoring information and the downstream monitoring information;
obtaining a monitoring information change trend value according to the difference value of the upstream monitoring information and the downstream monitoring information, and comparing the midstream monitoring information with the upstream monitoring information if the monitoring information change trend value is greater than a preset trend value;
if the midstream monitoring information corresponds to the upstream monitoring information, determining that the target position is between a midstream monitoring point and a downstream edge monitoring point;
if the midstream monitoring information does not correspond to the upstream monitoring information, determining that the target position is positioned between an upstream edge monitoring point and a midstream monitoring point;
the step of obtaining a monitoring information change trend value according to the difference value between the upstream monitoring information and the downstream monitoring information, and comparing the midstream monitoring information with the upstream monitoring information if the monitoring information change trend value is greater than a preset trend value specifically includes:
acquiring upstream PH value information, upstream temperature information, downstream PH value information and downstream temperature information which are respectively included in the upstream monitoring information and the downstream monitoring information;
comparing the upstream temperature information with reference temperature information to obtain upstream compensation information of the upstream PH value information, and performing compensation processing on the upstream PH value information according to the upstream compensation information;
comparing the downstream temperature information with reference temperature information to obtain downstream compensation information of the downstream PH value information, and compensating the downstream PH value information according to the downstream compensation information;
obtaining a monitoring information change trend value according to the upstream PH value information, the downstream PH value information and the distance information between the upstream edge monitoring point and the downstream edge monitoring point after compensation processing, obtaining average temperature information according to the upstream temperature information and the downstream temperature information, and processing the standard trend value according to the average temperature information to obtain a preset trend value;
if the variation trend value is larger than the preset trend value, comparing the mid-stream PH value information with the upstream PH value information;
the method specifically comprises the steps of obtaining a monitoring information change trend value according to upstream PH value information, downstream PH value information and distance information between an upstream edge monitoring point and a downstream edge monitoring point after compensation processing, obtaining average temperature information according to the upstream temperature information and the downstream temperature information, and processing a standard trend value according to the average temperature information to obtain a preset trend value:
the monitoring information variation trend value and the preset trend value are calculated by the following formulas,
wherein,for compensation processed upstream PH information, based on a predetermined criterion>To compensate for upstream PH information prior to processing, T 1 As upstream temperature information, T 2 As reference temperature information, t 1 Is a first temperature weighted value, A 1 Is a temperature constant value>For compensating processed downstream PH value information, based on a predetermined criterion>To compensate for downstream pH information prior to processing, q 1 For monitoring information trend values,/ 1 For distance information between upstream edge monitoring points and downstream edge monitoring points, g 1 Is a first normalized value, g 2 Is a second normalized value, t 2 Is a second temperature weighted value, q 3 Is a standard trend value;
in the step of obtaining the upstream PH information, the upstream temperature information, the downstream PH information, and the downstream temperature information respectively included in the upstream monitoring information and the downstream monitoring information, the method specifically includes:
respectively acquiring monitoring point attribute data of an upstream edge monitoring point, a midstream monitoring point and a downstream edge monitoring point, wherein the monitoring point attribute data comprises river channel width information and river flow speed information;
comparing the river channel width information with preset width information to obtain a first time conversion trend value;
comparing the river flow speed information with preset flow speed information to obtain a second time conversion trend value;
adjusting a reference time period according to the first time conversion trend value and the second time conversion trend value to obtain an adjusted detection time period;
controlling the PH value detection devices corresponding to the upstream edge monitoring point, the midstream monitoring point and the downstream edge monitoring point to generate upstream PH value information and downstream PH value information according to the frequency corresponding to the detection time period;
in the step of adjusting the reference time according to the first time conversion trend value and the second time conversion trend value to obtain the adjusted detection time period, the method specifically includes:
the detection time period is calculated by the following formula,
wherein D is 1 To detect the time period, d 1 As river width information, d 2 For presetting width information, v 1 As information on the velocity of the river flow, v 2 To preset flow rate information, D 2 Is a reference time period.
2. The method of claim 1, further comprising:
counting the upstream monitoring information, the midstream monitoring information and the downstream monitoring information collected by each one-dimensional river length end to obtain a sub-pollution image corresponding to each one-dimensional river length end;
obtaining a river reach pollution degree image according to the total node number of the two-dimensional river long end, the total node number of the one-dimensional river long end and the sub-pollution image;
calculating a river reach pollution degree image by the following formula:
wherein H 1 Representing the pollution level of the river section, s 1 Is the total number of nodes, theta, at the long end of the one-dimensional river 1 Is a one-dimensional quantity normalization value, s 2 Is the total number of nodes, theta, at the long end of the two-dimensional river 2 For two-dimensional quantity normalization, h i Is the sub-polluted image corresponding to the ith one-dimensional river length end, N is the upper limit value of the one-dimensional river length end, N is the number value of the one-dimensional river length end, K 1 A weight value of total portrait, h a Is the sub-contaminated image corresponding to the alpha-one-dimensional river length end,the mid-stream PH value information, k, corresponding to the mid-stream monitoring information 1 Is the weight value of the first sub-image, alpha 1 Constant value of the first sub-image, L On the upper part Is upstream water body granularity monitoring information corresponding to the upstream monitoring information, L Lower part Downstream water particle size monitoring information, L, corresponding to downstream monitoring information In The midstream water body granularity monitoring information, k, corresponding to the midstream monitoring information 2 Is a second subimage weight value, alpha 2 The second sub-image is a constant value.
3. The method of claim 2, further comprising:
if the river reach pollution degree portrait is larger than a preset pollution degree portrait value, voting is initiated in the river reach block chain, and the voting target comprises an integral governing river reach and a split governing river reach;
respectively counting the voting behaviors of the one-dimensional river estuary end, the two-dimensional river estuary end and the three-dimensional river estuary end to obtain first voting data and second voting data;
obtaining a first voting coefficient and a second voting coefficient respectively corresponding to the whole governing river reach and the split governing river reach according to different weights of the first voting data, the second voting data, the one-dimensional river reach end, the two-dimensional river reach end and the three-dimensional river reach end;
if the first voting coefficient is larger than the second voting coefficient, the whole harnessing river reach is sent to the three-dimensional river reach end;
if the first voting coefficient is smaller than the second voting coefficient, the split governing river reach is sent to the three-dimensional river reach end,
the first voting coefficient and the second voting coefficient are calculated by the following formulas,
wherein beta is 1 Is the first voting coefficient, beta 2 Is the second voting coefficient, j 1 Is the sum of the votes at the one-dimensional river leader, u, in the first voting data 1 Is a one-dimensional voting weight value, j 2 Is the sum of the votes of the two-dimensional river leader in the first voting data, u 2 For two-dimensional voting weight value, j 3 Is the sum of the votes, u, of the three-dimensional river leader in the first voting data 3 For three-dimensional voting weight values, f 1 Is the sum of the votes at the one-dimensional river leader in the second voting data, f 2 Is the sum of the votes of the two-dimensional river leader in the second voting data, f 3 The sum of the votes of the three-dimensional river leader in the second voting data.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210334604.4A CN114819527B (en) | 2022-03-30 | 2022-03-30 | Water environment monitoring data processing method based on river growth system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210334604.4A CN114819527B (en) | 2022-03-30 | 2022-03-30 | Water environment monitoring data processing method based on river growth system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN114819527A CN114819527A (en) | 2022-07-29 |
CN114819527B true CN114819527B (en) | 2023-04-07 |
Family
ID=82532259
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202210334604.4A Active CN114819527B (en) | 2022-03-30 | 2022-03-30 | Water environment monitoring data processing method based on river growth system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN114819527B (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115471115B (en) * | 2022-10-01 | 2023-10-31 | 浙江嘉园智能科技有限公司 | Electronic river length control system for unified combined treatment of global water body |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110427447A (en) * | 2019-08-05 | 2019-11-08 | 软通动力信息技术有限公司 | A kind of river information management system |
CN111947626A (en) * | 2020-06-19 | 2020-11-17 | 湖南拓比科技有限公司 | Water environment monitoring method and system based on block chain |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2011121603A1 (en) * | 2010-04-01 | 2011-10-06 | Gopalakrishna, Krishnaji, Rao | Mild slope channel hydro power generation hydro power generation from subcriticalcanals |
CN108481750B (en) * | 2018-04-10 | 2021-03-30 | 孙士元 | Device for preventing embankment and piping and preparation method thereof |
CN110580560A (en) * | 2018-06-08 | 2019-12-17 | 詹春婷 | River channel treatment and supervision service system based on river growth system |
CN109636307B (en) * | 2018-10-31 | 2020-05-26 | 广州市水务信息技术保障中心 | River chang APP system |
CN109886608A (en) * | 2019-03-28 | 2019-06-14 | 交通运输部水运科学研究所 | A kind of waterway engineering eco-environmental impact and Evaluation of Countermeasures based on Analysis on Mechanism |
CN110456013B (en) * | 2019-06-05 | 2021-02-26 | 中山大学 | River channel water quality monitoring system and method |
CN114217041B (en) * | 2022-02-21 | 2022-08-30 | 北京恒润安科技有限公司 | Intelligent information acquisition and management method for river water regime and pollution monitoring |
-
2022
- 2022-03-30 CN CN202210334604.4A patent/CN114819527B/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110427447A (en) * | 2019-08-05 | 2019-11-08 | 软通动力信息技术有限公司 | A kind of river information management system |
CN111947626A (en) * | 2020-06-19 | 2020-11-17 | 湖南拓比科技有限公司 | Water environment monitoring method and system based on block chain |
Also Published As
Publication number | Publication date |
---|---|
CN114819527A (en) | 2022-07-29 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN114819527B (en) | Water environment monitoring data processing method based on river growth system | |
CN110049372A (en) | Main broadcaster stablizes prediction technique, device, equipment and the storage medium of retention ratio | |
Panichpapiboon et al. | Traffic density estimation: A mobile sensing approach | |
CN111935820B (en) | Positioning implementation method based on wireless network and related equipment | |
CN112906738B (en) | Water quality detection and treatment method | |
CN104702432A (en) | Alarm method based on position area division and server | |
EP3494525B1 (en) | Realtime busyness for places | |
CN113342625A (en) | Data monitoring method and system | |
CN114705249A (en) | Artificial intelligence-based pollutant emission monitoring method and related equipment | |
CN108684074A (en) | Distance measuring method based on RSSI and device | |
CN116362036B (en) | High-speed rail equipment fault early warning method and system | |
CN110543509B (en) | Monitoring system, method and device for user access data and electronic equipment | |
CN116911499A (en) | Block chain-based carbon emission treatment method and device | |
CN116029605A (en) | Water environment monitoring method and system | |
CN114446427B (en) | Electronic equipment and health data attribution identification method | |
CN115310516A (en) | Method and system for judging state stability of automation equipment and readable storage medium | |
Mak et al. | Heavy flow-based incident detection algorithm using information from two adjacent detector stations | |
CN115065621B (en) | Data subscription method and device, electronic equipment and readable storage medium | |
CN103874091A (en) | Method for kNN query based on sensor network event detection | |
CN109521312B (en) | Non-technical line loss detection method, device and system | |
CN116228316A (en) | Method and device for determining delivery address, electronic equipment and readable storage medium | |
US20240311109A1 (en) | Scalable cross-boundary edge framework | |
US20220303144A1 (en) | Automated tamper detection of meter configuration parameters | |
US20240103822A1 (en) | Scalable cross-boundary edge framework | |
CN112543420B (en) | Task processing method, device and server |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |