CN114487332A - Method, system, medium and equipment for evaluating operation effect of automatic surface water quality monitoring station - Google Patents
Method, system, medium and equipment for evaluating operation effect of automatic surface water quality monitoring station Download PDFInfo
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- 230000000694 effects Effects 0.000 title claims abstract description 51
- 239000002352 surface water Substances 0.000 title claims abstract description 41
- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000011156 evaluation Methods 0.000 claims abstract description 59
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- 238000011158 quantitative evaluation Methods 0.000 abstract description 3
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- 229910052698 phosphorus Inorganic materials 0.000 description 9
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- 229910052760 oxygen Inorganic materials 0.000 description 2
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Abstract
The invention is suitable for the technical field of environmental monitoring, and provides a method, a system, a medium and equipment for evaluating the operation effect of an automatic surface water quality monitoring station, wherein the method comprises the steps of establishing an index system; calculating the efficacy coefficient value of the single index; calculating the efficacy coefficient value of the category index; calculating the weight of the category index; calculating the total function coefficient value of the index system; and (6) evaluating the grade. The invention creatively provides the evaluation ideas of classification, grading, staging and partition, and adopts an efficacy function method and a classification variable weight method to well solve the problems of comprehensive quantitative evaluation under the influence of various factors and the change of the factor weight along with the evaluation period. Meanwhile, on the basis of the evaluation of the operation effect of a single automatic station, the evaluation of the operation effect of the regional (basin) water quality automatic monitoring station is introduced, the comprehensive evaluation is completed according to the respective evaluation results of the automatic stations with the domestic control attribute and the non-domestic control attribute in the evaluation region, and the local guarantee capability and the operation and maintenance technical level in the region (basin) can be reflected more accurately.
Description
Technical Field
The invention relates to the technical field of environmental monitoring, in particular to an operation effect evaluation method for an automatic surface water quality monitoring station, an operation effect evaluation system for the automatic surface water quality monitoring station, a computer readable storage medium and a terminal device.
Background
With the rapid development of economy, industry and agriculture in China, the quality of surface water environment is more and more concerned by governments at all levels and social public. Regular and long-term water quality monitoring of surface water is a necessary way to promote continuous improvement of surface water environmental quality. At present, in order to actually improve the quality of monitoring data and play a big data role, the monitoring of the surface water environment quality in China gradually realizes a mode of mainly automatic monitoring and secondarily manually monitoring, and therefore, a large number of surface water quality automatic monitoring stations are produced at the same time.
The automatic water quality monitoring station can continuously monitor the water quality of surface water in real time all day long, a large amount of manpower and time are saved, massive monitoring data can timely give an early warning and prevent water environment risks, and the automatic water quality monitoring station has unique advantages. However, to ensure the effective and efficient operation of the automatic water quality monitoring station, attention must be paid to the operation condition of the monitoring station after the monitoring station is put into operation. The operation effect of the automatic water quality monitoring station is influenced by a plurality of factors such as local guarantee level, operation and maintenance technology level and the like, most of the influencing factors are qualitative indexes, the operation effect cannot be judged by a quantitative evaluation method, and therefore, the operation effect evaluation system of the automatic water quality monitoring station is in a missing state at present, so that scientific basis and methods are lacked in the subsequent automatic water quality monitoring planning and construction process in various places, the function of automatic monitoring data is restricted to be exerted, and the representativeness and the scientificity of the monitoring data are influenced.
Disclosure of Invention
The invention aims to solve the problems, designs a method, a system, a medium and equipment for evaluating the operation effect of an automatic surface water quality monitoring station, and can effectively improve the systematicness and the practicability of evaluation of the operation effect of the automatic station.
In order to achieve the purpose, the technical scheme of the invention is as follows:
an evaluation method for the operation effect of an automatic surface water quality monitoring station is characterized by comprising the following steps of: the method comprises the following steps:
s1, establishing an index system: determining category indexes influencing the operation effect of the automatic surface water quality monitoring station, and determining single indexes contained in each category index;
s2, calculating the efficacy coefficient value of the single index: determining the index property of the single index in S1, determining the optimal limit value and the worst limit value of the single index by combining with the automatic monitoring industrial standard of the surface water quality, and calculating by combining with the actual value of the single index;
s3, calculating the efficacy coefficient value of the category index: performing weighted average calculation by combining the efficacy coefficient values of all the single indexes contained in the category index;
s4, calculating the weight of the category index: calculating by combining the number of overrun times of each type of index in the last operation period;
s5, calculating the total effective coefficient value of the index system: calculating by combining the efficacy coefficient value of the class index of S3 and the weight of the class index of S4;
s6, rating: the values are ranked and the overall performance factor value as set forth in S5 is rated accordingly.
Further, S1 further includes:
the category indexes comprise data effective rate, blind sample assessment qualification rate, failure frequency and social service value.
Further, S2 further includes:
the calculation formula of the maximum single index efficacy coefficient value is as follows:
wherein, muBig (a)The value of the efficacy coefficient, x, being a maximum single indexiIs the actual value of the i-th individual index, xmiIs the optimal limit value, x, of the ith individual indexniThe worst limit value of the ith single index is set;
the calculation formula of the efficacy coefficient value of the ultra-small single index is as follows:
wherein, muSmallCoefficient of efficacy value, x, for a very small single indexiIs the actual value of the i-th individual index, xmiIs the optimal limit value, x, of the ith individual indexniIs the worst limit value of the ith single index.
Further, S3 further includes:
the calculation formula of the category index efficacy coefficient value is as follows:
wherein i is the identifier of the category index, and j is a single item in the ith category indexIndex mark, muiThe value of the efficacy coefficient, n, for the class i indexiIs the number of single indexes in the i-th class index, mu(i,j)The efficacy coefficient value of the jth single index in the ith class index;
s4 further includes:
the calculation formula of the category index weight is as follows:
wherein, ω isiThe weight coefficient is the weight coefficient of the ith class index, n is the number of the class indexes, and Qi is the number of overrun times of the ith class index in the last operation period; q is the sum of the number of overrun times appearing in the last operation period of each category index;
s5 further includes:
the calculation formula of the total efficacy coefficient value of the index system is as follows:
where D is the total efficiency coefficient value for a single autonomous station.
Further, the method also comprises the following steps:
s5.1, determining automatic stations with the same attribute in a specific area, calculating the total work efficiency coefficient value of each automatic station by executing the steps S1-S5 for each monitoring station, and calculating the average total work efficiency coefficient value of the automatic stations with the same attribute in the specific area;
and S6.1, grading the numerical values, and carrying out corresponding grade evaluation on the average total efficacy coefficient value in the S5.1.
Further, the method also comprises the following steps:
s5.2, calculating a comprehensive average total efficacy coefficient value by combining the weight of each different attribute and the average total efficacy coefficient value of the corresponding attribute in the specific area;
and S6.2, grading the numerical values, and carrying out corresponding grade evaluation on the comprehensive average total efficacy coefficient value in the S5.2.
The utility model provides a surface water quality of water automatic monitoring station operation effect evaluation system, includes:
the index system setting module is used for setting category indexes influencing the operation effect of the surface water quality automatic monitoring station and single indexes contained in each category index, and setting the index property, the optimal limit value and the worst limit value of each single index;
the data acquisition module is used for acquiring actual data of each single index in the surface water quality automatic monitoring station;
the score generation module comprises a single index scoring module for calculating and outputting the single index efficacy coefficient value, a category index scoring module for calculating and outputting the category index efficacy coefficient value, and an index system scoring module for calculating and outputting the index system total efficacy coefficient value;
and the grade conversion module is used for converting the scoring numerical value into grade evaluation.
Further, the system also comprises an area setting module, which is used for setting a specific area and setting information of each mobile station in the area, including but not limited to the name and attribute information of the mobile station;
the score generation module also comprises an attribute scoring module used for calculating and outputting the average total efficacy coefficient value of the automatic station with the same attribute in the same area and an area scoring module used for calculating and outputting the comprehensive average total efficacy coefficient value of all the automatic stations in the same area.
A computer-readable storage medium storing a computer program which, when executed, implements the steps of the evaluation method of any preceding claim.
A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the evaluation method as claimed in any one of the preceding claims when executing the computer program.
Compared with the prior art, the invention has the advantages and positive effects that:
based on the characteristics of influence factor diversity, effect grade hierarchy, time difference and space comprehensiveness in the operation effect evaluation of the automatic water quality monitoring station, the invention creatively provides evaluation ideas of classification, staging and partition, and well solves the problems of comprehensive quantitative evaluation and factor weight change along with the evaluation period under the influence of various factors by adopting an efficacy function method and a classification variable weight method. Meanwhile, on the basis of the evaluation of the operation effect of a single automatic station, the evaluation of the operation effect of the regional (basin) water quality automatic monitoring station is introduced, the comprehensive evaluation is completed according to the respective evaluation results of the automatic stations with the domestic control attribute and the non-domestic control attribute in the evaluation region, and the local guarantee capability and the operation and maintenance technical level in the region (basin) can be reflected more accurately.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the embodiments or the prior art description will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings may be obtained according to these drawings without inventive labor.
FIG. 1 is a schematic flow chart of an evaluation method for the operation effect of an automatic surface water quality monitoring station according to the invention;
FIG. 2 is a schematic block diagram of an operation effect evaluation system of an automatic surface water quality monitoring station according to the present invention;
fig. 3 is a schematic block diagram of a terminal device according to the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only examples, and the protection scope of the present invention is not limited thereby.
It is to be noted that unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the invention pertains.
An evaluation method, a system, a medium and equipment for the running effect of an automatic surface water quality monitoring station. Embodiments of the present invention will be described below with reference to the drawings.
The first embodiment:
as shown in fig. 1, the embodiment provides an evaluation method for operation effect of an automatic surface water quality monitoring station, which includes the following steps:
s1, establishing an index system: determining category indexes influencing the operation effect of the automatic surface water quality monitoring station, and determining single indexes contained in each category index;
s2, calculating the efficacy coefficient value of the single index: determining the index property of the single index in S1, determining the optimal limit value and the worst limit value of the single index by combining with the automatic monitoring industrial standard of the surface water quality, and calculating by combining with the actual value of the single index;
s3, calculating the efficacy coefficient value of the category index: performing weighted average calculation by combining the efficacy coefficient values of all the single indexes contained in the category index;
s4, calculating the weight of the category index: calculating by combining the number of times of overrun of each category index in the last operation period;
s5, calculating the total effective coefficient value of the index system: calculating by combining the efficacy coefficient value of the class index of S3 and the weight of the class index of S4;
s6, rating: the values are ranked and the overall performance factor value as set forth in S5 is rated accordingly.
Preferably, S1 further includes: the category indexes comprise data effective rate, blind sample assessment qualification rate, failure frequency and social service value.
In the S1, an Analytic Hierarchy Process (AHP) can be adopted to construct an index system, the index system comprises a target layer, a criterion layer (classification index) and an index layer (single index), the target layer is the operation effect of the surface water quality automatic monitoring station, and the criterion layer is provided with four category indexes of 'data effective rate', 'blind sample assessment qualification rate', 'fault frequency' and 'social service value'; the data effective rate category index can take the data effective rate of automatically monitoring conventional 9 parameters as a single index, the blind sample assessment qualification rate category index can include the blind sample assessment qualification rate of ammonia nitrogen, total phosphorus, total nitrogen, permanganate index and other parameters as a single index, the fault frequency category index can include single indexes of power faults, water collection faults, network faults, equipment faults, station stopping times and the like, and the social service value can include single indexes of data utilization rate, emergency early warning contribution and the like.
The index system is specifically as follows:
preferably, S2 further includes:
the calculation formula of the maximum single index efficacy coefficient value is as follows:
wherein, muBig (a)The value of the efficacy coefficient, x, being a maximum single indexiIs the actual value of the i-th individual index, xmiIs the optimal limit value, x, of the ith individual indexniThe worst limit value of the ith single index is set;
the calculation formula of the efficacy coefficient value of the ultra-small single index is as follows:
wherein, muSmallCoefficient of efficacy value, x, for a very small single indexiIs the actual value of the i-th individual index, xmiIs the optimal limit value, x, of the ith individual indexniIs the ith sheetThe worst limit of the term index.
Preferably, S3 further includes:
the calculation formula of the category index efficacy coefficient value is as follows:
wherein i is the identifier of the category index, j is the identifier of a single index in the ith category index, and muiThe value of the efficacy coefficient, n, for the class i indexiIs the number of single indexes in the i-th class index, mu(i,j)The efficacy coefficient value of the jth single index in the ith class index;
s4 further includes:
the calculation formula of the category index weight is as follows:
wherein, ω isiThe weight coefficient is the weight coefficient of the ith class index, n is the number of the class indexes, and Qi is the number of overrun times of the ith class index in the last operation period; q is the sum of the number of overrun times appearing in the last operation period of each category index;
s5 further includes:
the calculation formula of the total efficacy coefficient value of the index system is as follows:
where D is the total efficiency coefficient value for a single autonomous station.
Preferably, S6 further defines five grades, which are very good ((90, 100)), better ((80, 90)), normal ((60, 80)), worse ((50, 60)), and very bad ([0, 50 ]).
By adopting the steps of the embodiment, the operation effect of a single automatic station can be evaluated, and taking a certain water quality automatic monitoring station in a certain county area range in the northeast of Chongqing city as an example, the operation period for evaluation is one year.
S1, establishing an index system:
the data validity category indexes comprise single indexes such as ammonia nitrogen data effective rate, total phosphorus data effective rate, total nitrogen data effective rate, permanganate index data effective rate, water temperature data effective rate, turbidity data effective rate, dissolved oxygen data effective rate, pH value data effective rate and conductivity data effective rate;
the blind sample assessment qualification rate category indexes comprise single indexes such as ammonia nitrogen blind sample assessment qualification rate, total phosphorus blind sample assessment qualification rate, total nitrogen blind sample assessment qualification rate, permanganate index blind sample assessment qualification rate and the like;
the fault frequency category indexes comprise single indexes such as network faults, power faults, water collection faults, equipment faults, station stopping times and the like;
the social service category index comprises single indexes such as data utilization rate and emergency early warning contribution.
S2, calculating the efficacy coefficient value of the single index
The effective rate of the total phosphorus data is taken as an example of the very large index, the optimal limit value of the effective rate of the total phosphorus data is 100%, the worst limit value is 0%, and the actual value of the effective rate of the total phosphorus data in 2021 is 91%, so the effective single index efficiency coefficient value of the total phosphorus data is as follows:
the minimum index takes the number of stops as an example, the optimal limit value of the number of stops is 0, the worst limit value is 24, the actual measurement value of the number of stops in 2021 year is 14, so the efficiency coefficient value of the single index of the number of stops is as follows:
the efficacy coefficient values of the single indexes are respectively calculated according to the steps as follows: ammonia nitrogen data effective rate (96.7), total phosphorus data effective rate (96.4), total nitrogen data effective rate (87.3), permanganate index data effective rate (90.6), water temperature data effective rate (98.0), turbidity data effective rate (98.0), dissolved oxygen data effective rate (96.9), pH value data effective rate (97.0) and conductivity data effective rate (96.6); the ammonia nitrogen blind sample qualification rate (100), the total phosphorus blind sample qualification rate (100), the total nitrogen blind sample qualification rate (100) and the permanganate index blind sample qualification rate (100); power failure (96.7), water collection failure (97.3), network failure (93.3), equipment failure (86.7) and stop times (76.7); data usage (87.3), emergency alert contribution (76.7).
S3, calculating the efficacy coefficient value of the category index
The efficacy coefficient value of the category index is the weighted integration of scores of all single-phase indexes in the category on the basis of the evaluation result of the single index, and the data efficiency category is taken as an example in this time:
the efficacy coefficient values of the indexes of all classes are respectively calculated according to the steps as follows: qualification rate mu of blind sample examination2100, failure frequency μ390.1, social service value μ4＝82.0。
S4, calculating the weight of the category index
The weight of each category index exceeds the limit number according to each category index in the last operation period (2020), and the number of all single indexes exceeding the limit in each category index in the 2020 is counted as: the data efficiency is 2 times; the qualification rate of the blind sample is checked for 1 time; the failure frequency is 2 times; social service value is 0. Taking the calculation process of the data effective rate category weight as an example:
the efficacy coefficient values of the indexes of all classes are respectively calculated according to the steps as follows: the weight of the blind sample assessment qualification rate is 0.22, the weight of the fault frequency is 0.33, and the weight of the social service value is 0.12.
S5, total efficiency coefficient value of single automatic station
The evaluation of the operation effect of the single automatic station uses the weighted summation of the efficacy coefficient values of all the classes of indexes, and the evaluation in the case is calculated as follows:
s6, rating
The logarithmic values are divided into five levels, which are respectively: very good ((90, 100), better ((80, 90)), in general ((60, 80)), worse ((50, 60)), very bad ([0, 50 ]))
From the value 93 obtained in S5, it is judged that the evaluation level of the effect of the automatic station operation is "good".
Second embodiment:
the following further limitations are made on the basis of the first embodiment:
also comprises the following steps:
s5.1, determining automatic stations with the same attribute in a specific area, calculating the total work efficiency coefficient value of each monitoring station by performing the steps S1-S5 as the right in the claim 1 on each automatic station, and calculating the average total work efficiency coefficient value of the automatic stations with the same attribute in the specific area;
and S6.1, grading the numerical values, and carrying out corresponding grade evaluation on the average total efficacy coefficient value in the S5.1.
In this embodiment, the attributes of the automatic stations can be divided into national control and non-national control categories, and similarly, taking a certain county scope in northeast of Chongqing city and Chongqing city as an example, in this region, there are three national control automatic stations and three non-national control (city control) automatic stations.
The total efficiency coefficient values of the three automatic stations with the national control attribute in the area are 82.4, 91.1 and 87.8 respectively, so that the average total efficiency coefficient value of the automatic stations with the national control attribute in the area is calculated as follows:
the rating was "better".
Wherein, ZDG is the evaluation score (average total efficiency coefficient value) of the operation effect of all the nation-controlled automatic stations in the evaluation area, m is the number of the nation-controlled automatic stations in the evaluation area, DGiAnd the total function coefficient value of the operation effect of the automatic station with the single national control attribute in the evaluation area.
The total efficiency coefficient values of the three non-domestic control (municipal control) attribute automatic stations in the area are 93.0, 80.1 and 74.5 respectively, so that the average total efficiency coefficient value of the non-domestic control (municipal control) attribute automatic stations in the area is calculated as follows:
the rating was "better".
Wherein: ZDF is the evaluation score (average total efficiency coefficient value) of the operation effect of all the non-nationally controlled automatic stations in the evaluation area, p is the number of the non-nationally controlled automatic stations in the evaluation area, DFiThe total work factor value is the operation effect of a single non-nationally controlled automatic station in the evaluation area.
The third embodiment:
the following further limitations are made on the basis of the second embodiment: also comprises the following steps:
s5.2, calculating a comprehensive average total effect coefficient value by combining the weight of each different attribute and the average total effect coefficient value of the corresponding attribute in the specific area;
and S6.2, grading the numerical values, and carrying out corresponding grade evaluation on the comprehensive average total efficacy coefficient value in the S5.2.
And determining the weight of each attribute as follows by combining the importance degree of the surface water quality automatic station: the national control attribute is 0.6, the non-national control attribute is 0.4, and the comprehensive average total effect coefficient value in the region is as follows:
ZD is the running effect evaluation comprehensive score (comprehensive average total efficacy coefficient value) of all automatic stations in the evaluation area, m is the number of the domestic automatic stations in the evaluation area, and p is the number of the non-domestic automatic stations in the evaluation area.
From the data in the second embodiment, the following is calculated:
ZD＝0.6×ZDG+0.4×ZDF＝0.6×87.1+0.4×82.5＝85.3
the rating was "better".
The fourth embodiment:
as shown in fig. 2, an evaluation system for operation effect of an automatic surface water quality monitoring station comprises:
the index system setting module 10 is used for setting category indexes affecting the operation effect of the surface water quality automatic monitoring station and single indexes contained in each category index, and setting the index property, the optimal limit value and the worst limit value of each single index;
the data acquisition module 20 is used for acquiring actual data of each single index in the surface water quality automatic monitoring station;
the score generation module 30 comprises a single index scoring module 31 for calculating and outputting the single index efficacy coefficient value, a category index scoring module 32 for calculating and outputting the category index efficacy coefficient value, and an index system scoring module 33 for calculating and outputting the index system total efficacy coefficient value;
and the grade conversion module 40 is used for converting the scoring numerical value into the grade evaluation.
In this embodiment, the setting mode of the index system setting module refers to the first embodiment, the generation formulas of the single-item index scoring module, the category index scoring module, and the index system scoring module refer to the first embodiment, and the conversion mode of the level conversion module refers to the first embodiment.
Preferably, the system further comprises a region setting module 50, configured to set a specific region and set information of each mobile station in the region, including but not limited to the name and attribute information of the mobile station;
the score generation module 30 further includes an attribute scoring module 34 for calculating and outputting the average total efficacy coefficient value of the automated stations of the same attribute in the same area and an area scoring module 35 for calculating and outputting the average total efficacy coefficient value of all the automated stations in the same area.
The setting mode of the region setting module refers to the third embodiment, the generation formula of the attribute scoring module refers to the second embodiment, and the generation formula of the region scoring module refers to the third embodiment.
Fifth embodiment:
a computer-readable storage medium storing a computer program, characterized in that: the computer program, when executed, implements the steps of the evaluation method of any one of the first to third embodiments.
In this embodiment, the computer program may be divided into one or more modules, and these modules may be a series of computer program instruction segments for describing the processes executed by the computer program and capable of performing the specific functions described in the first to third embodiments.
Sixth embodiment:
as shown in fig. 3, a terminal device 60 includes a memory 62, a processor 61, and a computer program 63 stored in the memory 62 and operable on the processor, wherein the processor 61 implements the steps of the evaluation method according to any one of the first to third embodiments when executing the computer program 63.
In this embodiment, the terminal device 60 may be a mobile terminal or a PC terminal, or may be a cloud server. The processor 61 may be a central processing unit. The storage 62 is an internal storage unit of the terminal device, such as a memory, and may also be an external storage device of the terminal device, such as a plug-in hard disk.
The foregoing is a more detailed description of the present invention in connection with specific preferred embodiments thereof, and it is not intended that the specific embodiments of the present invention be limited to these descriptions. For those skilled in the art to which the invention pertains, other embodiments that do not depart from the gist of the invention are intended to be within the scope of the invention.
Claims (10)
1. A method for evaluating the operation effect of an automatic surface water quality monitoring station is characterized by comprising the following steps: the method comprises the following steps:
s1, establishing an index system: determining category indexes influencing the operation effect of the automatic surface water quality monitoring station, and determining single indexes contained in each category index;
s2, calculating the efficacy coefficient value of the single index: determining the index property of the single index in S1, determining the optimal limit value and the worst limit value of the single index by combining with the automatic monitoring industrial standard of the surface water quality, and calculating by combining with the actual value of the single index;
s3, calculating the efficacy coefficient value of the category index: performing weighted average calculation by combining the efficacy coefficient values of all the single indexes contained in the category index;
s4, calculating the weight of the category index: calculating by combining the number of times of overrun of each category index in the last operation period;
s5, calculating the total effective coefficient value of the index system: calculating by combining the efficacy coefficient value of the class index of S3 and the weight of the class index of S4;
s6, rating: the values are ranked and the overall work function value as described in S5 is rated accordingly.
2. The method for evaluating the operation effect of the automatic surface water quality monitoring station according to claim 1, which is characterized in that: s1 further includes:
the category indexes comprise data effective rate, blind sample assessment qualification rate, failure frequency and social service value.
3. The method for evaluating the operation effect of the automatic surface water quality monitoring station according to claim 1, which is characterized in that: s2 further includes:
the calculation formula of the maximum single index efficacy coefficient value is as follows:
wherein, muBig (a)The value of the efficacy coefficient, x, being a maximum single indexiIs the actual value of the i-th individual index, xmiIs the optimal limit value, x, of the ith individual indexniThe worst limit value of the ith single index is taken as the worst limit value of the ith single index;
the calculation formula of the efficacy coefficient value of the ultra-small single index is as follows:
wherein, muSmallCoefficient of efficacy value, x, for a very small single indexiIs the actual value of the i-th individual index, xmiIs the optimal limit value, x, of the ith individual indexniIs the worst limit value of the ith single index.
4. The method for evaluating the operation effect of the automatic surface water quality monitoring station according to claim 1, which is characterized in that: s3 further includes:
the calculation formula of the category index efficacy coefficient value is as follows:
wherein i is the identifier of the category index, j is the identifier of a single index in the ith category index, and muiThe value of the efficacy coefficient, n, for the class i indexiIs the number of single indexes in the i-th class index, mu(i,j)The efficacy coefficient value of the jth single index in the ith class index;
s4 further includes:
the calculation formula of the category index weight is as follows:
wherein, ω isiThe weight coefficient is the weight coefficient of the ith class index, n is the number of the class indexes, and Qi is the number of overrun times of the ith class index in the last operation period; q is the sum of the number of overrun times appearing in the last operation period of each category index;
s5 further includes:
the calculation formula of the total efficacy coefficient value of the index system is as follows:
where D is the total efficiency coefficient value for a single autonomous station.
5. The method for evaluating the operation effect of the automatic surface water quality monitoring station according to claim 1, which is characterized in that: also comprises the following steps:
s5.1, determining automatic stations with the same attribute in a specific area, calculating the total work efficiency coefficient value of each automatic station by executing the steps S1-S5 as the right in the claim 1 on each automatic station, and then calculating the average total work efficiency coefficient value of the automatic stations with the same attribute in the specific area;
and S6.1, grading the numerical values, and carrying out corresponding grade evaluation on the average total efficacy coefficient value in the S5.1.
6. The method for evaluating the operation effect of the automatic surface water quality monitoring station according to claim 5, characterized by comprising the following steps: also comprises the following steps:
s5.2, calculating a comprehensive average total effect coefficient value by combining the weight of each different attribute and the average total effect coefficient value of the corresponding attribute in the specific area;
and S6.2, grading the numerical values, and carrying out corresponding grade evaluation on the comprehensive average total efficacy coefficient value in the S5.2.
7. The utility model provides a surface water quality of water automatic monitoring station operation effect evaluation system which characterized in that: the method comprises the following steps:
the index system setting module is used for setting category indexes influencing the operation effect of the automatic surface water quality monitoring station and single indexes contained in each category index, and setting the index property, the optimal limit value and the worst limit value of each single index;
the data acquisition module is used for acquiring actual data of each single index in the surface water quality automatic monitoring station;
the score generation module comprises a single index scoring module for calculating and outputting the single index efficacy coefficient value, a category index scoring module for calculating and outputting the category index efficacy coefficient value, and an index system scoring module for calculating and outputting the index system total efficacy coefficient value;
and the grade conversion module is used for converting the scoring numerical value into grade evaluation.
8. The system for evaluating the operation effect of the automatic surface water quality monitoring station according to claim 7, characterized in that: the system also comprises an area setting module, a data processing module and a data processing module, wherein the area setting module is used for setting a specific area and setting information of each mobile station in the area, including but not limited to the name and attribute information of the mobile station;
the score generation module also comprises an attribute scoring module used for calculating and outputting the average total efficacy coefficient value of the automatic station with the same attribute in the same area and an area scoring module used for calculating and outputting the comprehensive average total efficacy coefficient value of all the automatic stations in the same area.
9. A computer-readable storage medium storing a computer program, characterized in that: the processor, when executing the computer program, carries out the steps of the evaluation method according to any one of claims 1 to 6.
10. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the evaluation method according to any one of claims 1 to 6 when executing the computer program.
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