阅读说明：本技术 水质污染类型溯源方法、装置、设备及可读存储介质 (Water pollution type tracing method, device, equipment and readable storage medium ) 是由 吴宪爽 李艳丽 李秋瑶 魏林辉 朱缨 邱致刚 金细波 赵小辉 于 2020-09-03 设计创作，主要内容包括：本申请提供了一种水质污染类型溯源方法,方法包括：获取自动监测点控制区域内存在的行业类型、多种以及水质监测因子；建立水质污染事件类型和水质监测因子的关系矩阵；获取自动监测点控制区域内水质的实时监测数据,并提取自动监测点控制区域内的水质变化特征；判断水质是否发生异常；若判断为是,则将水质变化特征和关系矩阵进行匹配,以得到各水质污染事件类型发生的概率值；对各水质污染事件类型发生的概率值进行标准化处理,以确定水质污染事件类型。上述实施方式,能够实现快速、准确的溯源,将来源缩小到行业范围,进而能够快速进行防治措施,避免污染进一步恶化。(The application provides a water pollution type tracing method, which comprises the following steps: acquiring industry types, a plurality of types and water quality monitoring factors existing in a control area of an automatic monitoring point; establishing a relation matrix of water quality pollution event types and water quality monitoring factors; acquiring real-time monitoring data of water quality in the automatic monitoring point control area, and extracting water quality change characteristics in the automatic monitoring point control area; judging whether the water quality is abnormal or not; if the water quality change characteristics are judged to be positive, matching the water quality change characteristics with the relation matrix to obtain probability values of the water quality pollution event types; and carrying out standardization processing on probability values of the water quality pollution event types to determine the water quality pollution event types. By the implementation mode, quick and accurate source tracing can be realized, the source is narrowed to the industrial range in the future, and then the prevention and treatment measures can be quickly carried out, so that further deterioration of pollution is avoided.)

1. A tracing method for water pollution types is characterized by comprising the following steps:

acquiring industry types, a plurality of types and water quality monitoring factors existing in a control area of an automatic monitoring point;

establishing a relation matrix of the water quality pollution event type and the water quality monitoring factor;

acquiring real-time monitoring data of water quality in the control area of the automatic monitoring point, and extracting water quality change characteristics in the control area of the automatic monitoring point;

judging whether the water quality is abnormal or not;

if so, matching the water quality change characteristics with the relation matrix to obtain probability values of the water quality pollution event types;

and carrying out standardization processing on the probability value of each water quality pollution event type to determine the water quality pollution event type.

2. The method of claim 1, wherein the establishing a relationship matrix of the water quality pollution event type and the water quality monitoring factor further comprises:

establishing a first relation matrix of the water pollution event type and the water quality monitoring factor, wherein the row of the first relation matrix represents the industry type, and the column of the first relation matrix represents the water quality monitoring factor;

calculating the sum of each column of the first relation matrix, and performing logical operation on each element in the first relation matrix and the sum of the column of the element to generate a second relation matrix;

and carrying out normalization processing on the second relation matrix to obtain a relation matrix of the water quality pollution event type and the water quality monitoring factor.

3. The method of claim 1, wherein the obtaining of real-time monitoring data of water quality in the automatic monitoring point control area and the extracting of water quality change characteristics in the automatic monitoring point control area further comprises:

acquiring historical monitoring data and real-time monitoring data of water quality in the control area of the automatic monitoring point;

and carrying out standardized processing on the real-time monitoring data of each water quality monitoring factor to obtain the water quality change characteristics.

4. The method as claimed in claim 3, wherein the normalization of the real-time monitoring data of each of the water quality monitoring factors is performed by using the following formula:

wherein the content of the first and second substances,the standard deviation of the real-time monitoring data of the ith water quality monitoring factor from the average value,real-time monitoring data representing the ith water quality monitoring factor,represents a selected average of the historical monitoring data,

5. The method of claim 3, wherein the determining whether the water quality is abnormal further comprises:

acquiring a first vector indicating the strength of the water quality monitoring factor on water pollution;

performing logic operation on the first vector and the water quality change characteristic to obtain a second vector;

and determining whether the water quality is abnormal according to the component values of the second vector.

6. The method of claim 5, wherein matching the water quality change characteristic with the relationship matrix to obtain a probability value for each water quality contamination event type, further comprises:

and calculating the relation matrix of the water quality pollution event types and the water quality monitoring factors and the vector of the water quality change characteristics to obtain the probability value of each water quality pollution event type.

7. The method of claim 1, wherein the normalizing the probability value of each water pollution event type to determine the water pollution event type further comprises:

carrying out standardization processing on the probability value of the water quality pollution event type;

and determining the water quality pollution event type according to the probability value of the water quality pollution event type after the standardization treatment.

8. The utility model provides a water pollution type device of tracing to source which characterized in that, water pollution type device of tracing to source includes:

the first acquisition module is used for acquiring the industry types, various water quality pollution event types and water quality monitoring factors existing in the control area of the automatic monitoring point;

the establishing module is used for establishing a relation matrix of the water quality pollution event type and the water quality monitoring factor;

the second acquisition module is used for acquiring real-time monitoring data of the water quality in the automatic monitoring point control area and extracting the water quality change characteristics in the automatic monitoring point control area;

the judging module is used for judging whether the water quality is abnormal or not;

the matching module is used for matching the water quality change characteristics with the relation matrix when the water quality is judged to be abnormal so as to obtain the probability value of each water quality pollution event type;

and the standardization processing module is used for standardizing the probability value of each water quality pollution event type to determine the water quality pollution event type.

9. The water pollution type tracing equipment is characterized by comprising a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus; the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the operation of the water quality pollution type traceability method of any one of claims 1-7.

10. A computer-readable storage medium, wherein at least one executable instruction is stored in the storage medium, and when the executable instruction is run on a water quality pollution type tracing device/apparatus, the executable instruction causes the water quality monitoring data processing device/apparatus to perform the operation of the water quality pollution type tracing method according to any one of claims 1 to 7.

Technical Field

The application relates to the technical field of water pollution source tracing, in particular to a water pollution type source tracing method, device, equipment and a readable storage medium.

Background

Due to the accelerated urbanization process, intensive human activities such as the use of fertilizers in agricultural activities, the discharge of industrial wastewater and domestic sewage and the like cause increasingly serious water body pollution. In order to meet the requirements of surface water supervision and guarantee the safety of drinking water, China is advancing surface water monitoring system innovation and gradually realizing automatic water quality monitoring. Accurately identifying the abnormal change of water quality and tracing the reason of the abnormal change become one of the problems to be solved urgently.

At present, most automatic surface water monitoring stations only use simple indexes such as exceeding standards, exceeding multiples and the like for water quality change, and lack reasonable judgment rules for abnormal fluctuation of water quality. For tracing the water pollution source, the existing methods can be summarized into two main categories of field sampling measurement and mathematical model simulation. The field sampling and measuring method has large workload, consumes long time and is difficult to carry out pollution source investigation in time. The mathematical model simulation method has the advantages of flexibility, rapidness, strong operability and the like, and comprises a probability method based on probability statistics, a deterministic method based on an optimization theory and the like, but the existing simulation method needs a large amount of data such as water environment, pollution sources and the like, and cannot be applied to areas lacking in data.

Disclosure of Invention

The application mainly provides a water pollution type tracing method, a water pollution type tracing device, water pollution type tracing equipment and a readable storage medium, and can solve the problems that in the prior art, the water pollution tracing workload is large, the consumed time is long, pollution sources are difficult to check in time, and the method cannot be applied to an area lacking data.

In order to solve the technical problem, the application adopts a technical scheme that: the tracing method for the water pollution type is provided, and comprises the following steps: acquiring industry types, a plurality of types and water quality monitoring factors existing in a control area of an automatic monitoring point; establishing a relation matrix of the water quality pollution event type and the water quality monitoring factor; acquiring real-time monitoring data of water quality in the control area of the automatic monitoring point, and extracting water quality change characteristics in the control area of the automatic monitoring point; judging whether the water quality is abnormal or not; if so, matching the water quality change characteristics with the relation matrix to obtain probability values of the water quality pollution event types; and carrying out standardization processing on the probability value of each water quality pollution event type to determine the water quality pollution event type.

Establishing a first relation matrix of the water quality pollution event type and the water quality monitoring factor, wherein the rows of the first relation matrix represent the industry type, and the columns of the first relation matrix represent the water quality monitoring factor; calculating the sum of each column of the first relation matrix, and performing logical operation on each element in the first relation matrix and the sum of the column of the element to generate a second relation matrix; and carrying out normalization processing on the second relation matrix to obtain a relation matrix of the water quality pollution event type and the water quality monitoring factor.

Wherein, acquire the real-time supervision data of quality of water in the automatic monitoring point control area, and extract quality of water change characteristic in the automatic monitoring point control area further includes: acquiring historical monitoring data and real-time monitoring data of water quality in the control area of the automatic monitoring point; and carrying out standardized processing on the real-time monitoring data of each water quality monitoring factor to obtain the water quality change characteristics.

Wherein, the real-time monitoring data of each water quality monitoring factor is standardized by adopting a formula as follows:

wherein the content of the first and second substances,

the standard deviation of the real-time monitoring data of the ith water quality monitoring factor from the average value,real-time monitoring data representing the ith water quality monitoring factor,represents a selected average of the historical monitoring data,a standard deviation representing the selected historical monitoring data.

Wherein, judge whether quality of water is unusual, further include: acquiring a first vector indicating the strength of the water quality monitoring factor on water pollution; performing logic operation on the first vector and the water quality change characteristic to obtain a second vector; and determining whether the water quality is abnormal according to the component values of the second vector.

Wherein, the water quality change characteristics and the relation matrix are matched to obtain the probability value of each water quality pollution event type, and the method further comprises the following steps: and calculating the relation matrix of the water quality pollution event types and the water quality monitoring factors and the vector of the water quality change characteristics to obtain the probability value of each water quality pollution event type.

Wherein, the normalizing process is performed to the probability value of each water quality pollution event type to determine the water quality pollution event type, further comprising: carrying out standardization processing on the probability value of the water quality pollution event type; and determining the water quality pollution event type according to the probability value of the water quality pollution event type after the standardization treatment.

In order to solve the above technical problem, another technical solution adopted by the present application is: provided is a water pollution type tracing device, comprising: the first acquisition module is used for acquiring the industry types, various water quality pollution event types and water quality monitoring factors existing in the control area of the automatic monitoring point; the establishing module is used for establishing a relation matrix of the water quality pollution event type and the water quality monitoring factor; the second acquisition module is used for acquiring real-time monitoring data of the water quality in the automatic monitoring point control area and extracting the water quality change characteristics in the automatic monitoring point control area; the judging module is used for judging whether the water quality is abnormal or not; the matching module is used for matching the water quality change characteristics with the relation matrix when the water quality is judged to be abnormal so as to obtain the probability value of each water quality pollution event type; and the standardization processing module is used for standardizing the probability value of each water quality pollution event type to determine the water quality pollution event type.

In order to solve the above technical problem, the present application adopts another technical solution: providing water pollution type tracing equipment, wherein the data processing equipment comprises a processor, a memory, a communication interface and a communication bus, and the processor, the memory and the communication interface complete mutual communication through the communication bus; the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation of the water quality pollution type tracing method.

In order to solve the above technical problem, the present application adopts another technical solution that: there is provided a computer readable storage medium, wherein at least one executable instruction is stored in the storage medium, and when the executable instruction runs on a data processing device/apparatus for monitoring water quality, the executable instruction causes the water quality pollution type tracing device/apparatus to perform any one of the operations of the water quality pollution type tracing method.

The beneficial effect of this application is: the method, the device, the equipment and the readable storage medium are different from the prior art, an industry emission-factor incidence matrix is established according to the emission characteristics of the regional pollution industry, the automatic judgment of data abnormity is carried out by acquiring real-time environment monitoring data in an automatic monitoring point control area, the matrix operation is carried out by combining the industry emission-factor incidence matrix, and the source industry is traced, so that the rapid and accurate tracing is realized under the condition that the regional enterprise emits automatic monitoring data or more information except the water environment automatic monitoring data is lacked, the source is reduced to the industry range, the prevention and treatment measures can be rapidly carried out, and the pollution is prevented from further worsening.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without inventive efforts, wherein:

FIG. 1 is a schematic flow chart of an embodiment of a tracing method for water pollution types provided by the present application;

FIG. 2 is a schematic flow chart diagram illustrating an embodiment of step S200 in FIG. 1;

FIG. 3 is a schematic flow chart diagram illustrating an embodiment of step S300 in FIG. 1;

FIG. 4 is a schematic flow chart diagram illustrating an embodiment of step S400 in FIG. 1;

FIG. 5 is a schematic flow chart diagram illustrating an embodiment of step S600 in FIG. 1;

FIG. 6 is a schematic view of an embodiment of a tracing apparatus for water pollution types provided by the present application;

FIG. 7 is a schematic structural diagram of an embodiment of the water pollution type tracing apparatus of the present application;

FIG. 8 is a schematic diagram of one embodiment of a computer-readable storage medium provided herein.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

It should be noted that all the directional indications (such as up, down, left, right, front, and rear … …) in the embodiment of the present application are only used to explain the relative position relationship between the components, the movement situation, and the like in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indication is changed accordingly.

It will also be understood that when an element is referred to as being "secured to" or "disposed on" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present.

In addition, the descriptions referred to as "first", "second", etc. in this application are for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicit ly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present application.

It is understood that the data processing method for water quality monitoring adopted in the present application can be applied to industries including but not limited to water quality measurement, in the following embodiments, the measurement method of the present application is described in detail by taking water quality measurement as an example, and in the embodiments of the present application, the water quality measurement may specifically include measurement of iodide ions, heavy metals, volatile phenols and other substances in a water quality sample.