CN112613535A - Water quality detection control method, device and platform - Google Patents

Water quality detection control method, device and platform Download PDF

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CN112613535A
CN112613535A CN202011432206.3A CN202011432206A CN112613535A CN 112613535 A CN112613535 A CN 112613535A CN 202011432206 A CN202011432206 A CN 202011432206A CN 112613535 A CN112613535 A CN 112613535A
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working mode
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water quality
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quality detection
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李虹福
高锡东
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/23Clustering techniques
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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    • G01N33/18Water

Abstract

The embodiment of the application provides a water quality detection control method, a device and a platform, wherein a continuous detection updating behavior list in an online detection project configuration node configured by a target online detection project is obtained by analyzing detection updating behaviors of water quality detection process control data in the online detection project configuration node configured by the target online detection project, and after working mode feedback information corresponding to the detection updating behavior list is further determined, control node marking is carried out on a water quality detection process control recording point corresponding to the water quality detection process control data in the online detection project configuration node configured by the target online detection project. In this way, the working mode feedback information of the water quality detection process control data in the specific online detection project configuration node can be considered, so that the difference of different online detection project configuration nodes is further considered when the control node marks the water quality detection process control recording point, and the reliability of detection control is improved.

Description

Water quality detection control method, device and platform
Technical Field
The application relates to the technical field of water quality, in particular to a water quality detection control method, a water quality detection control device and a water quality detection control platform.
Background
After data access to a multi-type water quality detection control center, various detection processes can be ensured to smoothly perform service processing on a water quality detection control platform, however, how to consider the node difference of different online detection items in the process so as to improve the reliability of detection control is a technical problem to be solved urgently in the field.
Disclosure of Invention
In order to overcome at least the above-mentioned deficiencies in the prior art, the present application aims to provide a water quality detection control method, apparatus and platform, which can take into account the working mode feedback information of water quality detection process control data in specific on-line detection project configuration nodes, thereby further taking into account the differences between different on-line detection project configuration nodes when performing control node marking on water quality detection process control recording points, and thus improving the reliability of detection control.
In a first aspect, the present application provides a water quality detection control method applied to a water quality detection control platform communicating with a water quality detection control center, the method comprising:
acquiring water quality detection process control data of the water quality detection control center in an online detection project configuration node configured by a target online detection project, and analyzing detection update behaviors of the water quality detection process control data to obtain a continuous detection update behavior list of the water quality detection process control data in the online detection project configuration node configured by the target online detection project, wherein the detection update behavior list comprises a plurality of continuous detection update behaviors, each detection update behavior is configured with behavior category information, and the behavior category information is used for representing a water quality detection strategy label after instantiation of control;
determining a policy decision control characteristic sequence corresponding to each detection updating behavior according to the policy decision processing information and the policy decision updating information of the behavior category information corresponding to each detection updating behavior, and determining the policy decision control characteristic sequence of each detection updating behavior and a first instantiation control parameter of the policy decision control characteristic sequence of the previous detection updating behavior of the detection updating behavior, and a policy decision control characteristic sequence of each detection updating behavior and a second instantiation control parameter of the policy decision control characteristic sequence of the next detection updating behavior of the detection updating behavior;
determining working mode feedback information corresponding to the detection updating behavior list based on a first instantiation control parameter and a second instantiation control parameter corresponding to each detection updating behavior, and determining a target working mode parameter matrix corresponding to the water quality detection process control data according to the working mode feedback information;
and marking a control node of a water quality detection process control recording point corresponding to the water quality detection process control data in an online detection project configuration node configured by the target online detection project according to the target working mode parameter matrix to obtain the water quality detection process control recording point marked by the control node.
In one possible design, the step of determining the policy decision control feature sequence corresponding to each detection update behavior according to the policy decision processing information and the policy decision update information of the behavior category information corresponding to each detection update behavior includes:
acquiring a policy unit service range of behavior category information configured on each detection updating behavior, and determining a first policy table item sequence corresponding to the policy unit service range, wherein the policy unit service range comprises policy table item decision information of policy table items determined according to policy decision processing information of the behavior category information and policy decision updating information, and the first policy table item sequence comprises a hierarchical order of a plurality of policy table item decision nodes of the policy table item decision information;
determining a first mapping strategy decision element of each detection updating behavior mapping strategy decision processing information and a second mapping strategy decision element of the generated strategy decision updating information;
determining a core strategy table item calibration coefficient for performing core strategy table item calibration on the first strategy table item sequence according to the decision coverage information of the first mapping strategy decision element and the second mapping strategy decision element, and performing core strategy table item calibration on the first strategy table item sequence based on the core strategy table item calibration coefficient to obtain a second strategy table item sequence;
clustering the second strategy table entry sequence to obtain a plurality of strategy table entry cluster, and extracting the characteristics of each strategy table entry cluster to obtain strategy table entry cluster characteristics;
and determining a strategy decision control characteristic sequence of the detection updating behavior corresponding to the second strategy table entry sequence according to the plurality of strategy table entry clustering characteristics corresponding to the second strategy table entry sequence.
In one possible design, the step of determining the operation mode feedback information corresponding to the detection update behavior list based on the first instantiation control parameter and the second instantiation control parameter corresponding to each detection update behavior includes:
acquiring working mode associated information determined by a first instantiation control parameter and a second instantiation control parameter corresponding to each detection updating behavior;
aiming at the current working mode associated information in the working mode associated information, determining the working mode directing information of the current working mode associated information in the online detection project configuration node configured by the target online detection project based on a first policy table item node directed by the current working mode associated information in the online detection project configuration node configured by the target online detection project and a second policy table item node directed by each piece of working mode associated information in the online detection project configuration node configured by the target online detection project;
determining a working mode association list corresponding to each detection updating behavior according to all working mode pointing information corresponding to each detection updating behavior;
extracting difference comparison correction parameters in each working mode association list, determining correction characteristic vectors of each difference comparison correction parameter, weighting all the determined correction characteristic vectors to obtain target characteristic vectors, mapping the target characteristic vectors to monitoring configuration scripts corresponding to the detection updating behavior list, and obtaining initial working mode feedback information corresponding to the detection updating behavior list;
obtaining decision tree configuration information on each initial decision tree unit corresponding to the detection updating behavior list according to the initial working mode feedback information of the detection updating behavior list;
acquiring relevant decision tree configuration information of other associated detection updating behavior lists matched with the detection updating behavior lists in each initial decision tree unit according to the decision tree configuration information of each initial decision tree unit accessed by the detection updating behavior lists;
determining relevant network model information of the relevant decision tree configuration information, and judging whether the relevant network model information contains first network model information and second network model information; the correlation coefficient between the first network model information and the network model information of the detection and update behavior list is greater than a first set correlation coefficient, and the correlation coefficient between the second network model information and the network model information of the detection and update behavior list is less than a second set correlation coefficient;
if the first network model information and the second network model information exist, acquiring first initial working mode feedback information corresponding to the first network model information of a related detection updating behavior list on each initial decision tree unit and second initial working mode feedback information corresponding to the second network model information of the related detection updating behavior list;
and synthesizing the first initial working mode feedback information and the second initial working mode feedback information to obtain matched initial working mode feedback information, matching the matched initial working mode feedback information with the marked initial working mode feedback information corresponding to each initial decision tree unit, and outputting the working mode feedback information corresponding to the detection and update behavior list according to a matching result.
In one possible design, the step of determining a target operation mode parameter matrix corresponding to the water quality detection process control data according to the operation mode feedback information includes:
dividing the working mode feedback information according to index table items in the working mode feedback information to obtain a plurality of working mode parameter nodes corresponding to the working mode feedback information, wherein the index table items are determined by the working mode parameter matrixes of all water quality detection process control records used by the water quality detection control center in the water quality detection process control data in the on-line detection project configuration nodes configured by the target on-line detection project, the discharge record segmentation information of the working mode parameter matrix of each water quality detection process control record and the acquisition sequence of the detection updating behavior of the working mode parameter matrix of each water quality detection process control record;
acquiring a working mode parameter matrix and a position weight of a first water quality detection process control record corresponding to each working mode parameter node, sequencing all working mode parameter nodes corresponding to the working mode feedback information according to the position weight of the working mode parameter nodes from high to low to obtain a target list, and distributing an influence factor for each working mode parameter node according to the list position of each working mode parameter node in the target list;
determining the use weight corresponding to the working mode parameter matrix of the first water quality detection process control record of each working mode parameter node according to the influence factor and the position weight, wherein the use weight is used for representing the importance degree of the working mode parameter matrix of the first water quality detection process control record in the water quality detection process control data;
determining a target position of a first target working mode parameter node corresponding to a working mode parameter matrix recorded in the reference water quality detection process control in the working mode feedback information by taking the working mode parameter matrix recorded in the first water quality detection process control with the highest use weight as the working mode parameter matrix recorded in the reference water quality detection process control, acquiring a working mode evaluation index loss value between other working mode parameter nodes in the working mode feedback information and the first target working mode parameter node, and determining a second target working mode parameter node which has a working mode parameter matrix incidence relation with the first target working mode parameter node in the water quality detection process control according to the working mode evaluation index loss value;
and integrating the working mode parameter matrix of the first water quality detection process control record corresponding to the first target working mode parameter node and the working mode parameter matrix of the first water quality detection process control record corresponding to the second target working mode parameter node to obtain a working mode parameter matrix of the second water quality detection process control record, and determining the target working mode parameter matrix corresponding to the water quality detection process control data according to the working mode parameter matrix of the second water quality detection process control record.
For example, in one possible design, the target online inspection item configuration is obtained by:
when the online detection registration information of the water quality detection control center is detected, adding registration authority position activation information to the water quality detection control center according to the corresponding relation between a preset online detection registration object and the registration authority position of the water quality detection control platform, and determining a first detection authentication certificate carried in the online detection registration information according to activation response information fed back by the water quality detection control center based on the registration authority position activation information;
determining whether the online detection plan of the water quality detection control center is updated according to certificate update information between the first detection authentication certificate and a pre-stored second detection authentication certificate;
when the certificate updating information represents that the first detection certificate is not matched with the second detection certificate, determining that the online detection plan of the water quality detection control center is updated and acquiring the current online detection plan of the water quality detection control center;
determining a current online detection table item according to a current online detection plan of the water quality detection control center and an online detection table item generated by the water quality detection control platform based on a previous online detection plan of the water quality detection control center;
establishing an online detection calling service between the water quality detection control center and the water quality detection control platform according to the online detection registration information;
and when receiving control service information sent by the water quality detection control center through the online detection calling service, converting the control service information into target online detection item configuration which is the same as a report frame of a preset service report in the water quality detection control platform according to the current online detection table item.
For example, in one possible design, the method further includes:
when the certificate updating information represents that the first detection authentication certificate is the same as the second detection authentication certificate, acquiring an updating service for updating a current online detection plan of the water quality detection control center, wherein the updating service is an instruction for acquiring an updating service instruction set of the water quality detection control platform by the water quality detection control center through the current online detection plan;
determining a service object queue of the current online detection plan in an update state according to an incidence relation between service objects included in the update service;
determining a report frame of a target preset service report sent by the water quality detection control center, and determining a conversion queue for completing the report frame conversion of the target preset service report based on the current online detection plan according to the report frame and a thread data filling queue corresponding to the current online detection plan;
determining a first updating service instruction for switching the current online detection plan from the updating state to an updating completion state according to the service object queue;
taking the moment of detecting the online detection registration information of the water quality detection control center as an initial moment, and determining a second updating service instruction for completing the report frame conversion of the target preset business report based on the conversion queue;
judging whether the second updating service instruction is earlier than the first updating service instruction;
if the second updating service instruction is earlier than the first updating service instruction, sending a first switching instruction for representing that the water quality detection control center is allowed to switch the current online detection plan from the updating state to the updating completion state to the water quality detection control center when the first updating service instruction is reached;
if the second updating service instruction is later than the first updating service instruction, sending a second switching instruction for instructing the water quality detection control center to prolong the time for switching the current online detection plan from the updating state to the updating completion state to the water quality detection control center when the first updating service instruction is reached, so that the water quality detection control center switches the current online detection plan from the updating state to the updating completion state when the second updating service instruction is reached.
For example, in a possible design, the establishing an online detection call service between the water quality detection control center and the water quality detection control platform according to the online detection registration information includes:
determining a first synchronous activation service software framework from a preset first activation service software framework sequence and determining a second synchronous activation service software framework from a preset second activation service software framework sequence according to the first detection authentication certificate in the online detection registration information; determining a synchronous service request of the online detection registration information according to the first synchronous activation service software framework and the second synchronous activation service software framework, and sending the synchronous service request and a system detection authentication certificate of the water quality detection control platform to the water quality detection control center;
enabling the water quality detection control center to determine a third synchronous activation service software framework from a third activation service software framework sequence preset by the water quality detection control center according to the received system detection authentication certificate and determine a fourth synchronous activation service software framework from a preset fourth activation service software framework sequence; enabling the water quality detection control center to determine a response request of the online detection registration information according to the third synchronous activation service software framework and the fourth synchronous activation service software framework; enabling the water quality detection control center to determine online activation information between the water quality detection control center and the water quality detection control platform according to the response request when the response request is determined to be consistent with the synchronous service request;
acquiring the online activation information sent by the water quality detection control center;
before the online detection calling service is established, determining a verification program process for establishing the online detection calling service and implanting the online activation information into the verification program process to obtain a target verification program process;
and establishing the online detection calling service according to the target verification program process, so that the water quality detection control platform extracts a report frame tag from the received control service information based on the online detection calling service and determines whether to perform report frame conversion on the received control service information according to a comparison result of the extracted report frame tag and the online activation information.
For example, in a possible design, the converting the control service information into the target online detection item configuration that is the same as the report frame of the preset service report in the water quality detection control platform according to the current online detection table entry includes:
when entering a first report frame distribution node according to the current online detection table item, acquiring real-time report frame switching information;
when the report frame switching information reaches a preset condition, adjusting the distribution position of the first report frame distribution node according to a preset adjusting script to obtain a target report frame distribution node;
updating the first report frame distribution node to the target report frame distribution node, and converting the control service information into the target online detection item configuration according to the report frame index relationship in the current online detection item in the target online detection item configuration thread;
the method for adjusting the distribution positions of the first report frame distribution nodes according to the preset adjustment script to obtain target report frame distribution nodes comprises the following steps:
acquiring a first data distribution position bound with the control service information, and determining a plurality of second report frame distribution nodes occupying system resources;
determining a second data distribution position of the control service information corresponding to each second report frame distribution node; sorting the second report frame distribution nodes corresponding to each second data distribution position according to the position difference of the distribution positions of the first data distribution positions to obtain a thread sorting set; the smaller the position difference of the distribution positions, the more front the second report frame distribution nodes corresponding to the second data distribution positions are ranked;
determining the target progress of the first report frame distribution node; and marking a plurality of second report frame distribution nodes which are counted backwards in the thread sequencing set according to the target progress, and distributing report frame entries for the first report frame distribution nodes according to the number of the marked second report frame distribution nodes to obtain the target report frame distribution nodes.
In a second aspect, an embodiment of the present application further provides a water quality detection control device, which is applied to a water quality detection control platform communicating with a water quality detection control center, the device includes:
an obtaining module, configured to obtain water quality detection process control data of the water quality detection control center in an online detection project configuration node configured by a target online detection project, and perform detection update behavior analysis on the water quality detection process control data to obtain a continuous detection update behavior list of the water quality detection process control data in the online detection project configuration node configured by the target online detection project, where the detection update behavior list includes a plurality of continuous detection update behaviors, each detection update behavior is configured with behavior category information, and the behavior category information is used to represent a water quality detection policy label after instantiation of control;
the first determining module is used for determining a policy decision control characteristic sequence corresponding to each detection updating behavior according to the policy decision processing information and the policy decision updating information of the behavior category information corresponding to each detection updating behavior, and determining the policy decision control characteristic sequence of each detection updating behavior, a first instantiation control parameter of the policy decision control characteristic sequence of the previous detection updating behavior of the detection updating behavior, and a second instantiation control parameter of the policy decision control characteristic sequence of each detection updating behavior and a policy decision control characteristic sequence of the next detection updating behavior of the detection updating behavior;
the second determining module is used for determining working mode feedback information corresponding to the detection updating behavior list based on the first instantiation control parameter and the second instantiation control parameter corresponding to each detection updating behavior, and determining a target working mode parameter matrix corresponding to the water quality detection process control data according to the working mode feedback information;
and the marking module is used for marking the control nodes of the water quality detection process control recording points corresponding to the water quality detection process control data in the on-line detection item configuration nodes configured by the target on-line detection item according to the target working mode parameter matrix to obtain the water quality detection process control recording points marked by the control nodes.
In a third aspect, an embodiment of the present application provides a water quality detection control platform, which includes a processor, and a memory and a bus connected to the processor; wherein, the processor and the memory complete mutual communication through the bus; the processor is used for calling the program instructions in the memory so as to execute the water quality detection control method.
In a fourth aspect, embodiments of the present application provide a readable storage medium, on which a program is stored, the program, when executed by a processor, implementing the water quality detection control method
Based on any one of the above aspects, the water quality detection process control data of the water quality detection control center in the on-line detection project configuration node configured by the target on-line detection project is obtained, and the detection update behavior of the water quality detection process control data is analyzed to obtain a continuous detection update behavior list of the water quality detection process control data in the on-line detection project configuration node configured by the target on-line detection project, so that the control node mark is performed on the water quality detection process control recording point corresponding to the water quality detection process control data in the on-line detection project configuration node configured by the target on-line detection project according to the target working mode parameter matrix after the working mode feedback information corresponding to the detection update behavior list is further determined. In this way, the working mode feedback information of the water quality detection process control data in the specific online detection project configuration node can be considered, so that the difference of different online detection project configuration nodes is further considered when the control node marks the water quality detection process control recording point, and the reliability of detection control is improved.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a schematic flow chart of a water quality detection control method provided in an embodiment of the present application;
fig. 2 is a schematic diagram of functional modules of a water quality detection control device provided in an embodiment of the present application;
fig. 3 is a block diagram schematically illustrating a structure of a server for executing the water quality detection control method according to an embodiment of the present application.
Detailed Description
The present application will now be described in detail with reference to the drawings, and the specific operations in the method embodiments may also be applied to the apparatus embodiments or the system embodiments.
Referring to fig. 1, a schematic flow chart of a water quality detection control method according to an embodiment of the present application is shown, and the water quality detection control method is described in detail below.
Step S110, acquiring water quality detection process control data of a water quality detection control center in an online detection item configuration node configured by a target online detection item, analyzing detection updating behaviors of the water quality detection process control data to obtain a continuous detection updating behavior list of the water quality detection process control data in the online detection item configuration node configured by the target online detection item, wherein the detection updating behavior list comprises a plurality of continuous detection updating behaviors, each detection updating behavior is configured with behavior category information, and the behavior category information is used for representing a water quality detection strategy label after instantiation of control.
Step S120, determining a policy decision control feature sequence corresponding to each detection update behavior according to the policy decision processing information and the policy decision update information of the behavior category information corresponding to each detection update behavior, and determining the policy decision control feature sequence of each detection update behavior and a first instantiation control parameter of the policy decision control feature sequence of the previous detection update behavior of the detection update behavior, and the policy decision control feature sequence of each detection update behavior and a second instantiation control parameter of the policy decision control feature sequence of the next detection update behavior of the detection update behavior.
Step S130, determining working mode feedback information corresponding to the detection updating behavior list based on the first instantiation control parameter and the second instantiation control parameter corresponding to each detection updating behavior, and determining a target working mode parameter matrix corresponding to the water quality detection process control data according to the working mode feedback information.
And step S140, marking the control nodes of the water quality detection process control recording points corresponding to the water quality detection process control data in the on-line detection item configuration nodes configured by the target on-line detection item according to the target working mode parameter matrix to obtain the water quality detection process control recording points marked by the control nodes.
Based on the above steps, in this embodiment, the detection update behavior analysis is performed on the water quality detection process control data in the online detection item configuration node configured by the target online detection item, so as to obtain a continuous detection update behavior list in the online detection item configuration node configured by the target online detection item, and after the working mode feedback information corresponding to the detection update behavior list is further determined, the control node marking is performed on the water quality detection process control recording point corresponding to the water quality detection process control data in the online detection item configuration node configured by the target online detection item. In this way, the working mode feedback information of the water quality detection process control data in the specific online detection project configuration node can be considered, so that the difference of different online detection project configuration nodes is further considered when the control node marks the water quality detection process control recording point, and the reliability of detection control is improved.
In one possible design, step S120 may be implemented by the following substeps.
Substep S121 obtains a policy unit service range of the behavior category information configured on each detected and updated behavior, and determines a first policy entry sequence corresponding to the policy unit service range, where the policy unit service range includes policy entry decision information of the policy entry determined according to the policy decision processing information of the behavior category information and the policy decision update information, and the first policy entry sequence includes a hierarchical order of a plurality of policy entry decision nodes of the policy entry decision information.
And a substep S122, determining a first mapping policy decision element of each piece of detection update behavior mapping policy decision processing information and a second mapping policy decision element of the piece of generation policy decision update information.
And a substep S123 of determining a core policy table item calibration coefficient for performing core policy table item calibration on the first policy table item sequence according to the decision coverage information of the first mapping policy decision element and the second mapping policy decision element, and performing core policy table item calibration on the first policy table item sequence based on the core policy table item calibration coefficient to obtain a second policy table item sequence.
And a substep S124, clustering the second strategy table entry sequence to obtain a plurality of strategy table entry cluster, and extracting the characteristics of each strategy table entry cluster to obtain the strategy table entry cluster characteristics.
And a substep S125, determining a policy decision control characteristic sequence of the detection update behavior corresponding to the second policy table entry sequence according to the multiple policy table entry clustering characteristics corresponding to the second policy table entry sequence.
In one possible design, step S130 may be implemented by the following substeps.
And a substep S131, obtaining the operation mode related information determined by the first instantiation control parameter and the second instantiation control parameter corresponding to each detection updating behavior.
And a substep S132, determining, for the current working mode associated information in the working mode associated information, working mode pointing information of the current working mode associated information in the online detection item configuration node configured for the target online detection item, based on a first policy item node to which the current working mode associated information is pointed in the online detection item configuration node configured for the target online detection item and a second policy item node to which each working mode associated information is pointed in the online detection item configuration node configured for the target online detection item.
And a substep S133, determining a working mode association list corresponding to each detection update behavior according to all the working mode orientation information corresponding to each detection update behavior.
And a substep S134, extracting the difference comparison correction parameters in each working mode association list, determining the correction characteristic vector of each difference comparison correction parameter, weighting all the determined correction characteristic vectors to obtain a target characteristic vector, mapping the target characteristic vector to the monitoring configuration script corresponding to the detection updating behavior list, and obtaining the initial working mode feedback information corresponding to the detection updating behavior list.
And a substep S135, obtaining decision tree configuration information on each initial decision tree unit corresponding to the detection and update behavior list according to the initial working mode feedback information of the detection and update behavior list.
In the substep S136, the relevant decision tree configuration information of other associated detection and update behavior lists matched with the detection and update behavior list in each initial decision tree unit is obtained according to the decision tree configuration information of each initial decision tree unit accessed by the detection and update behavior list.
And a substep S137 of determining relevant network model information of the relevant decision tree configuration information, and judging whether the relevant network model information includes the first network model information and the second network model information. The correlation coefficient between the first network model information and the network model information of the detection and update behavior list is greater than a first set correlation coefficient, and the correlation coefficient between the second network model information and the network model information of the detection and update behavior list is less than a second set correlation coefficient.
In the substep S138, if the first network model information and the second network model information exist, first initial working mode feedback information corresponding to the first network model information of the relevant detection and update behavior list on each initial decision tree unit and second initial working mode feedback information corresponding to the second network model information of the relevant detection and update behavior list are obtained.
And a substep S139, synthesizing the first initial working mode feedback information and the second initial working mode feedback information to obtain matched initial working mode feedback information, matching the matched initial working mode feedback information with the marked initial working mode feedback information corresponding to each initial decision tree unit, and outputting working mode feedback information corresponding to the detection and update behavior list according to the matching result.
In a possible design, still referring to step S130, in the process of determining the target operation mode parameter matrix corresponding to the water quality detection process control data according to the operation mode feedback information, the following sub-steps may be performed.
And substep S1391, dividing the working mode feedback information according to index table items in the working mode feedback information to obtain a plurality of working mode parameter nodes corresponding to the working mode feedback information, wherein the index table items determine the working mode parameter matrixes recorded by all water quality detection process control data used by the water quality detection control center in the on-line detection project configuration nodes configured by the target on-line detection project through the water quality detection control center indicated in the working mode feedback information, the emission record segmentation information of the working mode parameter matrix recorded by each water quality detection process control, and the acquisition sequence of the detection updating behavior of the working mode parameter matrix recorded by each water quality detection process control.
And a substep S1392 of obtaining a working mode parameter matrix and a position weight of the first water quality detection process control record corresponding to each working mode parameter node, sequencing all the working mode parameter nodes corresponding to the working mode feedback information from high to low according to the position weight of the working mode parameter nodes to obtain a target list, and distributing an influence factor for each working mode parameter node according to the list position of each working mode parameter node in the target list.
And a substep S1393 of determining the use weight corresponding to the working mode parameter matrix of the first water quality detection process control record of each working mode parameter node according to the influence factor and the position weight, wherein the use weight is used for representing the importance degree of the working mode parameter matrix of the first water quality detection process control record in the water quality detection process control data.
And S1394, taking the working mode parameter matrix recorded by the first water quality detection process with the highest weight as the working mode parameter matrix recorded by the reference water quality detection process, determining the target position of a first target working mode parameter node corresponding to the working mode parameter matrix recorded by the reference water quality detection process in the working mode feedback information, acquiring the working mode evaluation index loss value between other working mode parameter nodes in the working mode feedback information and the first target working mode parameter node, and determining a second target working mode parameter node which has the working mode parameter matrix incidence relation with the first target working mode parameter node recorded by the water quality detection process according to the working mode evaluation index loss value.
And a substep S1391 of integrating the working mode parameter matrix of the first water quality detection process control record corresponding to the first target working mode parameter node and the working mode parameter matrix of the first water quality detection process control record corresponding to the second target working mode parameter node to obtain a working mode parameter matrix of the second water quality detection process control record, and determining the target working mode parameter matrix corresponding to the water quality detection process control data according to the working mode parameter matrix of the second water quality detection process control record.
For example, in a possible design, for step S110, the target online detection item configuration may be obtained by:
and a substep S111, when detecting the online detection registration information of the water quality detection control center, adding the registration authority position activation information to the water quality detection control center according to the corresponding relation between the preset online detection registration object and the registration authority position of the water quality detection control platform, and determining a first detection authentication certificate carried in the online detection registration information according to the activation response information fed back by the water quality detection control center based on the registration authority position activation information.
And a substep S112, determining whether the online detection plan of the water quality detection control center is updated according to the certificate updating information between the first detection certificate and the pre-stored second detection certificate.
And a substep S113, when the certificate updating information represents that the first detection authentication certificate is not matched with the second detection authentication certificate, determining that the online detection plan of the water quality detection control center is updated and acquiring the current online detection plan of the water quality detection control center.
And a substep S114 of determining a current online detection table item according to the current online detection plan of the water quality detection control center and the online detection table item generated by the water quality detection control platform based on the previous online detection plan of the water quality detection control center.
And a substep S115 of establishing an online detection call service between the water quality detection control center and the water quality detection control platform according to the online detection registration information.
And a substep S116, when receiving the control service information sent by the water quality detection control center through the online detection calling service, converting the control service information into a target online detection item configuration which is the same as a report frame of a preset service report in the water quality detection control platform according to the current online detection table item.
Through steps S111 to S116, when the online detection registration information of the water quality detection control center is detected, the first detection certificate carried in the online detection registration information can be determined, and when the first detection certificate is inconsistent with the pre-stored second detection certificate, the current online detection plan of the water quality detection control center is obtained, then determining the current online detection table item based on the current online detection plan and the online detection table item generated by the water quality detection control platform based on the previous online detection plan of the water quality detection control center, therefore, when the control service information sent by the water quality detection control center is received through the established online detection calling service, and converting the control service information into target online detection item configuration which is the same as a report frame of a preset service report in the water quality detection control platform according to the current online detection table item. Therefore, the current online detection table item can be generated according to online detection plans of different water quality detection control centers, and control service information sent by the water quality detection control center is converted based on the current online detection table item, so that data access to various water quality detection control centers is realized, and smooth service processing on a water quality detection control platform in various detection processes is ensured.
For example, in a specific implementation, the first detection certificate and the second detection certificate may be consistent in some time periods, in this case, in order to increase a conversion rate of the control service information sent to the water quality detection control center, on the basis of the steps S111 to S116, the following may be further included:
step S1171, when the certificate updating information indicates that the first detection authentication certificate is the same as the second detection authentication certificate, obtaining an updating service for updating the current online detection plan of the water quality detection control center, wherein the updating service is an instruction for obtaining an updating service instruction set of the water quality detection control platform by the water quality detection control center through the current online detection plan.
Step S1172, determining the service object queue of the current online detection plan in the updating state according to the incidence relation between the service objects included in the updating service.
And S1173, determining a report frame of the target preset service report sent by the water quality detection control center, and determining a conversion queue for completing the conversion of the report frame of the target preset service report based on the current online detection plan according to the report frame and the thread data filling queue corresponding to the current online detection plan.
Step S1174, determining a first updating service instruction for switching the current online detection plan from the updating state to the updating completion state according to the service object queue.
And step S1175, taking the time of detecting the online detection registration information of the water quality detection control center as the starting time, and determining a second updating service instruction for completing the report frame conversion of the target preset business report based on the conversion queue.
In step S1176, it is determined whether the second update service command is earlier than the first update service command.
Step S1177, if the second updating service instruction is earlier than the first updating service instruction, sending a first switching instruction for representing that the water quality detection control center is allowed to switch the current online detection plan from the updating state to the updating completion state to the water quality detection control center when the first updating service instruction is reached.
Step S1178, if the second updating service instruction is later than the first updating service instruction, sending a second switching instruction for instructing the water quality detection control center to prolong the time for switching the current online detection plan from the updating state to the updating completion state to the water quality detection control center when the first updating service instruction is reached, so that the water quality detection control center switches the current online detection plan from the updating state to the updating completion state when the second updating service instruction is reached.
It can be understood that through steps S1171 to S1178, the update service can be obtained when the first detection certificate is the same as the second detection certificate, then the service object queue of the current online detection plan in the update state is determined according to the update service, and the conversion queue for completing the conversion of the report frame of the target preset service report based on the current online detection plan is determined based on the report frame of the target preset service report sent by the water quality detection control center and the thread data filling queue corresponding to the current online detection plan. And further, determining a first updating service instruction and a second updating service instruction based on the conversion queue and the service object queue, and then sending different switching instructions to the water quality detection control center according to the precedence relationship between the first updating service instruction and the second updating service instruction. Therefore, when the first detection authentication certificate is the same as the second detection authentication certificate, the water quality detection control platform can be ensured to perform report frame conversion of the target preset service report when the current online detection plan of the water quality detection control center is in an updated state, and interruption caused by switching the current online detection plan from the updated state to an updated state when the report frame conversion of the target online detection project configuration service is performed is avoided. Therefore, the conversion rate of the control service information sent by the water quality detection control center can be improved.
In specific implementation, the water quality detection control platform may interact with a plurality of water quality detection control centers in the same time period, under such a condition, the water quality detection control platform may establish a plurality of online detection call services, and the plurality of online detection call services may have data transmission intersections, so that the water quality detection control platform may perform report frame conversion on received disordered control service information, thereby affecting reliability of data in the water quality detection control platform. In order to improve the above problem, in step S115, an online detection call service between the water quality detection control center and the water quality detection control platform is established according to the online detection registration information, which may specifically include the following:
step S1151, determining a first synchronous activation service software frame from a preset first activation service software frame sequence according to a first detection authentication certificate in the online detection registration information, and determining a second synchronous activation service software frame from a preset second activation service software frame sequence. And determining a synchronous service request of online detection registration information according to the first synchronous activation service software framework and the second synchronous activation service software framework, and sending the synchronous service request and a system detection authentication certificate of the water quality detection control platform to the water quality detection control center.
Step S1152, the water quality detection control center determines a third synchronous activation service software frame from a third activation service software frame sequence preset by the water quality detection control center according to the received system detection authentication certificate, and determines a fourth synchronous activation service software frame from a preset fourth activation service software frame sequence. And the water quality detection control center determines a response request of online detection registration information according to the third synchronous activation service software framework and the fourth synchronous activation service software framework. And when the water quality detection control center determines that the response request is consistent with the synchronous service request, determining online activation information between the water quality detection control center and the water quality detection control platform according to the response request.
And step S1153, acquiring online activation information sent by the water quality detection control center.
Step S1154, before the online detection call service is established, determining a verification program process for establishing the online detection call service, and implanting online activation information into the verification program process to obtain a target verification program process.
Step S1155, an online detection call service is established according to the target verification program process, so that the water quality detection control platform performs report frame tag extraction on the received control service information based on the online detection call service and determines whether to perform report frame conversion on the received control service information according to a comparison result of the extracted report frame tag and the online activation information.
It can be understood that, through steps S1151 to S1155, the online detection registration information can be verified from the water quality detection control platform side and the water quality detection control center side, and the synchronization service request and the response request are determined from the water quality detection control platform side and the water quality detection control center side, respectively, so that the water quality detection control center determines the online activation information according to the certificate update information of the synchronization service request and the response request. The water quality detection control platform can implant the online activation information into the verification program process to obtain a target verification program process, and establish online detection calling service according to the target verification program process. Therefore, the water quality detection control platform can extract the report frame label of the received control service information based on the online detection calling service and determine whether to perform report frame conversion on the received control service information according to the comparison result of the extracted report frame label and the online activation information. When the extracted report frame tag is inconsistent with the online activation information, report frame conversion can be performed on the received control service information, so that the water quality detection control platform can be prevented from performing report frame conversion on all the received control service information, the water quality detection control platform can perform report frame conversion only on the control service information which is sent by the water quality detection control center and has no data cross, and the reliability of data in the water quality detection control platform is ensured.
In specific implementation, adaptation degrees of different water quality detection control centers are different, so that corresponding strategies are different when the water quality detection control platform performs report frame conversion on control service information sent by different water quality detection control centers.
In this embodiment, in order to improve the adaptation effect of the water quality detection control platform on the strategy when performing report frame conversion on the control service information sent by different water quality detection control centers, in step S116, the control service information is converted into a target online detection item configuration that is the same as the report frame of the preset service report in the water quality detection control platform according to the current online detection table entry, which may specifically include the following contents:
step S11611, when entering the first report frame distribution node according to the current online detection table item, obtaining the real-time report frame switching information.
Step S11612, when the report frame switching information reaches the preset condition, the distribution position of the first report frame distribution node is adjusted according to the preset adjusting script to obtain the target report frame distribution node.
Step S11613, the first report frame distribution node is updated to a target report frame distribution node, and the control service information is converted into the target online detection item configuration according to the report frame index relation in the current online detection item in the target online detection item configuration thread.
In step S11612, the distribution position of the first report frame distribution node is adjusted according to the preset adjustment script to obtain a target report frame distribution node, which may specifically include the following contents:
and acquiring a first data distribution position bound with the control service information, and determining a plurality of second report frame distribution nodes occupying system resources.
And determining a second data distribution position of the control service information corresponding to each second report frame distribution node. And sequencing the second report frame distribution nodes corresponding to each second data distribution position according to the position difference with the distribution position of the first data distribution position to obtain a thread sequencing set. And the smaller the position difference of the distribution positions, the more front the second report frame distribution nodes corresponding to the second data distribution positions are ranked.
And determining the target progress of the distributed nodes of the first report frame. And according to the number of the marked second report frame distribution nodes, distributing report frame table items for the first report frame distribution nodes to obtain the target report frame distribution nodes.
It can be understood that, through the steps S11611 to S11613, when the report frame switching information reaches the preset condition, part of the second report frame distribution nodes can be marked according to the distribution positions of the first report frame distribution node and the second report frame distribution node, so as to release the report frame switching information, so that the first report frame distribution node can be smoothly executed, and further, the control service information sent by the water quality detection control center is converted into the target online detection project configuration.
Furthermore, because the marking of part of the second report frame distribution nodes is carried out based on the distribution positions, the normal operation of the second report frame distribution nodes with higher distribution positions can not be influenced, and thus, the distribution efficiency of the water quality detection control platform to system resources when carrying out report frame conversion on control service information sent by different water quality detection control centers can be improved.
For example, in a specific implementation, in order to increase the rate of converting the control service information into the target online detection item configuration and improve the interaction timeliness of the water quality detection control center and the water quality detection control platform, in step S116, the method may further include the following steps of converting the control service information into the target online detection item configuration that is the same as the report frame of the preset service report in the water quality detection control platform according to the current online detection table entry:
step S11621, the data characteristic representation of the control service information and the report frame characteristic set corresponding to the data characteristic representation of the control service information are obtained.
Step S11622, determining the structural unit corresponding to the report frame vector in the data characteristic representation of the control service information in the report frame characteristic set.
Step S11623, a report frame conversion sequence table of data characteristic representation of the control service information is obtained according to the conversion node of the structural unit corresponding to the report frame vector in the data characteristic representation of the control service information in the report frame characteristic set.
Step S11624, determining the conversion strategy of each detection partition in the data characteristic representation of the control service information according to the report frame conversion sequence table.
Step S11625, according to the conversion strategy, the conversion rule of each detection partition in the data characteristic representation of the control service information is adjusted to obtain the target detection partition.
Step S11626, obtaining a target conversion editing strategy according to each target detection partition, determining a target online detection item configuration character corresponding to the target conversion editing strategy from the current online detection table item, and converting the current data character of the control service information according to the target conversion editing strategy and the target online detection item configuration character to obtain the target online detection item configuration.
It can be understood that, through steps S11621 to S11626, the data feature representation of the control service information can be analyzed, so as to obtain a report frame conversion sequence table based on the conversion nodes of the structural units in the report frame feature set corresponding to the report frame vectors in the data feature representation of the control service information, then determine the conversion policy of each detection partition in the data feature representation based on the report frame conversion sequence table, and adjust the detection partitions from the perspective of the conversion policy, so that the water quality detection control platform can directly convert the current data characters of the control service information according to the obtained target conversion editing policy and the target online detection item configuration characters determined from the current online detection table entry so as to obtain the target online detection item configuration, thereby increasing the rate of converting the control service information into the target online detection item configuration, and further, the interaction timeliness of the water quality detection control center and the water quality detection control platform is improved.
Fig. 2 is a schematic diagram of functional modules of a water quality detection control device 200 according to an embodiment of the present application, and the water quality detection control device 200 may be divided into the functional modules according to the foregoing method embodiment. For example, the functional blocks may be divided for the respective functions, or two or more functions may be integrated into one processing block. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. It should be noted that, the division of the modules in the present application is schematic, and is only a logical function division, and there may be another division manner in actual implementation. For example, when each function module is divided for each function, the water quality detection control apparatus 200 shown in fig. 2 is only a schematic diagram of one apparatus. The functions of the functional modules of the water quality detection control apparatus 200 will be described in detail below.
An obtaining module 210, configured to obtain water quality detection process control data of the water quality detection control center in an online detection item configuration node configured by a target online detection item, and perform detection update behavior analysis on the water quality detection process control data to obtain a continuous detection update behavior list of the water quality detection process control data in the online detection item configuration node configured by the target online detection item, where the detection update behavior list includes a plurality of continuous detection update behaviors, each detection update behavior is configured with behavior category information, and the behavior category information is used to represent a water quality detection policy label after instantiation of control.
The first determining module 220 is configured to determine a policy decision control feature sequence corresponding to each detection update behavior according to the policy decision processing information and the policy decision update information of the behavior category information corresponding to each detection update behavior, and determine the policy decision control feature sequence of each detection update behavior and a first instantiation control parameter of the policy decision control feature sequence of a previous detection update behavior of the detection update behavior, and a second instantiation control parameter of the policy decision control feature sequence of each detection update behavior and a policy decision control feature sequence of a next detection update behavior of the detection update behavior.
The second determining module 230 is configured to determine, based on the first instantiation control parameter and the second instantiation control parameter corresponding to each detection update behavior, working mode feedback information corresponding to the detection update behavior list, and determine, according to the working mode feedback information, a target working mode parameter matrix corresponding to the water quality detection process control data.
And the marking module 240 is configured to mark a control node on a water quality detection process control recording point corresponding to the water quality detection process control data in the online detection item configuration node configured by the target online detection item according to the target working mode parameter matrix, so as to obtain the water quality detection process control recording point marked by the control node.
Fig. 3 is a schematic structural diagram of a water quality detection control platform 100 for executing the water quality detection control method according to an embodiment of the present disclosure, and as shown in fig. 3, the water quality detection control platform 100 may include a network interface 110, a machine-readable storage medium 120, a processor 130, and a bus 140. The number of the processors 130 may be one or more, and one processor 130 is illustrated in fig. 3 as an example. The network interface 110, the machine-readable storage medium 120, and the processor 130 may be connected by a bus 140 or otherwise, as exemplified by the connection by the bus 140 in fig. 3.
The machine-readable storage medium 120 is a computer-readable storage medium, and can be used to store software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the water quality detection control method in the embodiments of the present application. The processor 130 executes various functional applications and data processing of the terminal device by detecting software programs, instructions and modules stored in the machine-readable storage medium 120, that is, the above-mentioned water quality detection control method is implemented, and details are not repeated herein.
The machine-readable storage medium 120 may first include a storage program area and a storage data area, wherein the storage program area may store an operating system, a warehousing service process required for at least one function. The storage data area may store data created according to the use of the terminal, and the like. Further, the machine-readable storage medium 120 may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of example, but not limitation, many forms of RAM are available, such as Static random access memory (Static RAM, SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic random access memory (Synchronous DRAM, SDRAM), Double Data rate Synchronous Dynamic random access memory (DDR SDRAM), Enhanced Synchronous SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), and direct memory bus RAM (DR RAM). It should be noted that the memories of the systems and methods described herein are intended to comprise, without being limited to, these and any other suitable memories at any other time. In some examples, the machine-readable storage medium 120 may further include memory located remotely from the processor 130, which may be connected to the terminal device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The processor 130 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method embodiments may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 130. The processor 130 may be a general-purpose processor, a Digital signal processor (Digital signal processor dsp), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, or discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor.
The water quality detection control platform 100 can perform information interaction with other devices through the communication interface 110. Communication interface 110 may be a circuit, bus, transceiver, or any other device that may be used to exchange information. Processor 130 may send and receive information using communication interface 110.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital water quality monitoring controller line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the embodiments of the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the embodiments of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to encompass such modifications and variations.

Claims (10)

1. A water quality detection control method is characterized by being applied to a water quality detection control platform communicated with a water quality detection control center, and the method comprises the following steps:
acquiring water quality detection process control data of the water quality detection control center in an online detection project configuration node configured by a target online detection project, and analyzing detection update behaviors of the water quality detection process control data to obtain a continuous detection update behavior list of the water quality detection process control data in the online detection project configuration node configured by the target online detection project, wherein the detection update behavior list comprises a plurality of continuous detection update behaviors, each detection update behavior is configured with behavior category information, and the behavior category information is used for representing a water quality detection strategy label after instantiation of control;
determining a policy decision control characteristic sequence corresponding to each detection updating behavior according to the policy decision processing information and the policy decision updating information of the behavior category information corresponding to each detection updating behavior, and determining the policy decision control characteristic sequence of each detection updating behavior and a first instantiation control parameter of the policy decision control characteristic sequence of the previous detection updating behavior of the detection updating behavior, and a policy decision control characteristic sequence of each detection updating behavior and a second instantiation control parameter of the policy decision control characteristic sequence of the next detection updating behavior of the detection updating behavior;
determining working mode feedback information corresponding to the detection updating behavior list based on a first instantiation control parameter and a second instantiation control parameter corresponding to each detection updating behavior, and determining a target working mode parameter matrix corresponding to the water quality detection process control data according to the working mode feedback information;
and marking a control node of a water quality detection process control recording point corresponding to the water quality detection process control data in an online detection project configuration node configured by the target online detection project according to the target working mode parameter matrix to obtain the water quality detection process control recording point marked by the control node.
2. The water quality detection control method according to claim 1, wherein the step of determining the policy decision control feature sequence corresponding to each detection update behavior based on the policy decision processing information and the policy decision update information of the behavior class information corresponding to each detection update behavior comprises:
acquiring a policy unit service range of behavior category information configured on each detection updating behavior, and determining a first policy table item sequence corresponding to the policy unit service range, wherein the policy unit service range comprises policy table item decision information of policy table items determined according to policy decision processing information of the behavior category information and policy decision updating information, and the first policy table item sequence comprises a hierarchical order of a plurality of policy table item decision nodes of the policy table item decision information;
determining a first mapping strategy decision element of each detection updating behavior mapping strategy decision processing information and a second mapping strategy decision element of the generated strategy decision updating information;
determining a core strategy table item calibration coefficient for performing core strategy table item calibration on the first strategy table item sequence according to the decision coverage information of the first mapping strategy decision element and the second mapping strategy decision element, and performing core strategy table item calibration on the first strategy table item sequence based on the core strategy table item calibration coefficient to obtain a second strategy table item sequence;
clustering the second strategy table entry sequence to obtain a plurality of strategy table entry cluster, and extracting the characteristics of each strategy table entry cluster to obtain strategy table entry cluster characteristics;
and determining a strategy decision control characteristic sequence of the detection updating behavior corresponding to the second strategy table entry sequence according to the plurality of strategy table entry clustering characteristics corresponding to the second strategy table entry sequence.
3. The water quality detection control method according to claim 1, wherein the step of determining the operation mode feedback information corresponding to the detection update behavior list based on the first instantiation control parameter and the second instantiation control parameter corresponding to each detection update behavior comprises:
acquiring working mode associated information determined by a first instantiation control parameter and a second instantiation control parameter corresponding to each detection updating behavior;
aiming at the current working mode associated information in the working mode associated information, determining the working mode directing information of the current working mode associated information in the online detection project configuration node configured by the target online detection project based on a first policy table item node directed by the current working mode associated information in the online detection project configuration node configured by the target online detection project and a second policy table item node directed by each piece of working mode associated information in the online detection project configuration node configured by the target online detection project;
determining a working mode association list corresponding to each detection updating behavior according to all working mode pointing information corresponding to each detection updating behavior;
extracting difference comparison correction parameters in each working mode association list, determining correction characteristic vectors of each difference comparison correction parameter, weighting all the determined correction characteristic vectors to obtain target characteristic vectors, mapping the target characteristic vectors to monitoring configuration scripts corresponding to the detection updating behavior list, and obtaining initial working mode feedback information corresponding to the detection updating behavior list;
obtaining decision tree configuration information on each initial decision tree unit corresponding to the detection updating behavior list according to the initial working mode feedback information of the detection updating behavior list;
acquiring relevant decision tree configuration information of other associated detection updating behavior lists matched with the detection updating behavior lists in each initial decision tree unit according to the decision tree configuration information of each initial decision tree unit accessed by the detection updating behavior lists;
determining relevant network model information of the relevant decision tree configuration information, and judging whether the relevant network model information contains first network model information and second network model information; the correlation coefficient between the first network model information and the network model information of the detection and update behavior list is greater than a first set correlation coefficient, and the correlation coefficient between the second network model information and the network model information of the detection and update behavior list is less than a second set correlation coefficient;
if the first network model information and the second network model information exist, acquiring first initial working mode feedback information corresponding to the first network model information of a related detection updating behavior list on each initial decision tree unit and second initial working mode feedback information corresponding to the second network model information of the related detection updating behavior list;
and synthesizing the first initial working mode feedback information and the second initial working mode feedback information to obtain matched initial working mode feedback information, matching the matched initial working mode feedback information with the marked initial working mode feedback information corresponding to each initial decision tree unit, and outputting the working mode feedback information corresponding to the detection and update behavior list according to a matching result.
4. The water quality detection control method according to claim 1, wherein the step of determining a target operation mode parameter matrix corresponding to the water quality detection process control data according to the operation mode feedback information comprises:
dividing the working mode feedback information according to index table items in the working mode feedback information to obtain a plurality of working mode parameter nodes corresponding to the working mode feedback information, wherein the index table items are determined by the working mode parameter matrixes of all water quality detection process control records used by the water quality detection control center in the water quality detection process control data in the on-line detection project configuration nodes configured by the target on-line detection project, the discharge record segmentation information of the working mode parameter matrix of each water quality detection process control record and the acquisition sequence of the detection updating behavior of the working mode parameter matrix of each water quality detection process control record;
acquiring a working mode parameter matrix and a position weight of a first water quality detection process control record corresponding to each working mode parameter node, sequencing all working mode parameter nodes corresponding to the working mode feedback information according to the position weight of the working mode parameter nodes from high to low to obtain a target list, and distributing an influence factor for each working mode parameter node according to the list position of each working mode parameter node in the target list;
determining the use weight corresponding to the working mode parameter matrix of the first water quality detection process control record of each working mode parameter node according to the influence factor and the position weight, wherein the use weight is used for representing the importance degree of the working mode parameter matrix of the first water quality detection process control record in the water quality detection process control data;
determining a target position of a first target working mode parameter node corresponding to a working mode parameter matrix recorded in the reference water quality detection process control in the working mode feedback information by taking the working mode parameter matrix recorded in the first water quality detection process control with the highest use weight as the working mode parameter matrix recorded in the reference water quality detection process control, acquiring a working mode evaluation index loss value between other working mode parameter nodes in the working mode feedback information and the first target working mode parameter node, and determining a second target working mode parameter node which has a working mode parameter matrix incidence relation with the first target working mode parameter node in the water quality detection process control according to the working mode evaluation index loss value;
and integrating the working mode parameter matrix of the first water quality detection process control record corresponding to the first target working mode parameter node and the working mode parameter matrix of the first water quality detection process control record corresponding to the second target working mode parameter node to obtain a working mode parameter matrix of the second water quality detection process control record, and determining the target working mode parameter matrix corresponding to the water quality detection process control data according to the working mode parameter matrix of the second water quality detection process control record.
5. The utility model provides a water quality testing controlling means which characterized in that is applied to the water quality testing control platform with water quality testing control center communication, the device includes:
an obtaining module, configured to obtain water quality detection process control data of the water quality detection control center in an online detection project configuration node configured by a target online detection project, and perform detection update behavior analysis on the water quality detection process control data to obtain a continuous detection update behavior list of the water quality detection process control data in the online detection project configuration node configured by the target online detection project, where the detection update behavior list includes a plurality of continuous detection update behaviors, each detection update behavior is configured with behavior category information, and the behavior category information is used to represent a water quality detection policy label after instantiation of control;
the first determining module is used for determining a policy decision control characteristic sequence corresponding to each detection updating behavior according to the policy decision processing information and the policy decision updating information of the behavior category information corresponding to each detection updating behavior, and determining the policy decision control characteristic sequence of each detection updating behavior, a first instantiation control parameter of the policy decision control characteristic sequence of the previous detection updating behavior of the detection updating behavior, and a second instantiation control parameter of the policy decision control characteristic sequence of each detection updating behavior and a policy decision control characteristic sequence of the next detection updating behavior of the detection updating behavior;
the second determining module is used for determining working mode feedback information corresponding to the detection updating behavior list based on the first instantiation control parameter and the second instantiation control parameter corresponding to each detection updating behavior, and determining a target working mode parameter matrix corresponding to the water quality detection process control data according to the working mode feedback information;
and the marking module is used for marking the control nodes of the water quality detection process control recording points corresponding to the water quality detection process control data in the on-line detection item configuration nodes configured by the target on-line detection item according to the target working mode parameter matrix to obtain the water quality detection process control recording points marked by the control nodes.
6. The water quality detection control apparatus according to claim 5, wherein the mode of determining the policy decision control feature sequence corresponding to each detection update behavior based on the policy decision processing information and the policy decision update information of the behavior class information corresponding to each detection update behavior comprises:
acquiring a policy unit service range of behavior category information configured on each detection updating behavior, and determining a first policy table item sequence corresponding to the policy unit service range, wherein the policy unit service range comprises policy table item decision information of policy table items determined according to policy decision processing information of the behavior category information and policy decision updating information, and the first policy table item sequence comprises a hierarchical order of a plurality of policy table item decision nodes of the policy table item decision information;
determining a first mapping strategy decision element of each detection updating behavior mapping strategy decision processing information and a second mapping strategy decision element of the generated strategy decision updating information;
determining a core strategy table item calibration coefficient for performing core strategy table item calibration on the first strategy table item sequence according to the decision coverage information of the first mapping strategy decision element and the second mapping strategy decision element, and performing core strategy table item calibration on the first strategy table item sequence based on the core strategy table item calibration coefficient to obtain a second strategy table item sequence;
clustering the second strategy table entry sequence to obtain a plurality of strategy table entry cluster, and extracting the characteristics of each strategy table entry cluster to obtain strategy table entry cluster characteristics;
and determining a strategy decision control characteristic sequence of the detection updating behavior corresponding to the second strategy table entry sequence according to the plurality of strategy table entry clustering characteristics corresponding to the second strategy table entry sequence.
7. The water quality detection control device according to claim 5, wherein the mode of determining the operation mode feedback information corresponding to the detection update behavior list based on the first instantiation control parameter and the second instantiation control parameter corresponding to each detection update behavior comprises:
acquiring working mode associated information determined by a first instantiation control parameter and a second instantiation control parameter corresponding to each detection updating behavior;
aiming at the current working mode associated information in the working mode associated information, determining the working mode directing information of the current working mode associated information in the online detection project configuration node configured by the target online detection project based on a first policy table item node directed by the current working mode associated information in the online detection project configuration node configured by the target online detection project and a second policy table item node directed by each piece of working mode associated information in the online detection project configuration node configured by the target online detection project;
determining a working mode association list corresponding to each detection updating behavior according to all working mode pointing information corresponding to each detection updating behavior;
extracting difference comparison correction parameters in each working mode association list, determining correction characteristic vectors of each difference comparison correction parameter, weighting all the determined correction characteristic vectors to obtain target characteristic vectors, mapping the target characteristic vectors to monitoring configuration scripts corresponding to the detection updating behavior list, and obtaining initial working mode feedback information corresponding to the detection updating behavior list;
obtaining decision tree configuration information on each initial decision tree unit corresponding to the detection updating behavior list according to the initial working mode feedback information of the detection updating behavior list;
acquiring relevant decision tree configuration information of other associated detection updating behavior lists matched with the detection updating behavior lists in each initial decision tree unit according to the decision tree configuration information of each initial decision tree unit accessed by the detection updating behavior lists;
determining relevant network model information of the relevant decision tree configuration information, and judging whether the relevant network model information contains first network model information and second network model information; the correlation coefficient between the first network model information and the network model information of the detection and update behavior list is greater than a first set correlation coefficient, and the correlation coefficient between the second network model information and the network model information of the detection and update behavior list is less than a second set correlation coefficient;
if the first network model information and the second network model information exist, acquiring first initial working mode feedback information corresponding to the first network model information of a related detection updating behavior list on each initial decision tree unit and second initial working mode feedback information corresponding to the second network model information of the related detection updating behavior list;
and synthesizing the first initial working mode feedback information and the second initial working mode feedback information to obtain matched initial working mode feedback information, matching the matched initial working mode feedback information with the marked initial working mode feedback information corresponding to each initial decision tree unit, and outputting the working mode feedback information corresponding to the detection and update behavior list according to a matching result.
8. The water quality detection control device according to claim 5, wherein the mode of determining the target operation mode parameter matrix corresponding to the water quality detection process control data according to the operation mode feedback information comprises:
dividing the working mode feedback information according to index table items in the working mode feedback information to obtain a plurality of working mode parameter nodes corresponding to the working mode feedback information, wherein the index table items are determined by the working mode parameter matrixes of all water quality detection process control records used by the water quality detection control center in the water quality detection process control data in the on-line detection project configuration nodes configured by the target on-line detection project, the discharge record segmentation information of the working mode parameter matrix of each water quality detection process control record and the acquisition sequence of the detection updating behavior of the working mode parameter matrix of each water quality detection process control record;
acquiring a working mode parameter matrix and a position weight of a first water quality detection process control record corresponding to each working mode parameter node, sequencing all working mode parameter nodes corresponding to the working mode feedback information according to the position weight of the working mode parameter nodes from high to low to obtain a target list, and distributing an influence factor for each working mode parameter node according to the list position of each working mode parameter node in the target list;
determining the use weight corresponding to the working mode parameter matrix of the first water quality detection process control record of each working mode parameter node according to the influence factor and the position weight, wherein the use weight is used for representing the importance degree of the working mode parameter matrix of the first water quality detection process control record in the water quality detection process control data;
determining a target position of a first target working mode parameter node corresponding to a working mode parameter matrix recorded in the reference water quality detection process control in the working mode feedback information by taking the working mode parameter matrix recorded in the first water quality detection process control with the highest use weight as the working mode parameter matrix recorded in the reference water quality detection process control, acquiring a working mode evaluation index loss value between other working mode parameter nodes in the working mode feedback information and the first target working mode parameter node, and determining a second target working mode parameter node which has a working mode parameter matrix incidence relation with the first target working mode parameter node in the water quality detection process control according to the working mode evaluation index loss value;
and integrating the working mode parameter matrix of the first water quality detection process control record corresponding to the first target working mode parameter node and the working mode parameter matrix of the first water quality detection process control record corresponding to the second target working mode parameter node to obtain a working mode parameter matrix of the second water quality detection process control record, and determining the target working mode parameter matrix corresponding to the water quality detection process control data according to the working mode parameter matrix of the second water quality detection process control record.
9. A water quality detection control platform is characterized by comprising a processor, a memory and a bus, wherein the memory and the bus are connected with the processor; wherein, the processor and the memory complete mutual communication through the bus; the processor is used for calling the program instructions in the memory to execute the water quality detection control method of any one of the claims 1-4.
10. A readable storage medium, characterized in that a program is stored thereon, which when executed by a processor implements the water quality detection control method according to any one of claims 1 to 4.
CN202011432206.3A 2020-12-09 2020-12-09 Water quality detection control method, device and platform Withdrawn CN112613535A (en)

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