CN118062921A - Self-correction method and system for garbage leachate concentrated solution treatment equipment - Google Patents
Self-correction method and system for garbage leachate concentrated solution treatment equipment Download PDFInfo
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- 238000004140 cleaning Methods 0.000 description 1
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Abstract
The invention relates to the technical field of equipment process automatic control, and particularly discloses a self-correction method and a system of garbage leachate concentrated solution treatment equipment, wherein the method comprises the steps of obtaining a participation component of a treatment task, obtaining monitoring ports of the participation component, and establishing unit vectors with the same dimension as the number of the monitoring ports; acquiring operation parameters in real time according to a monitoring port, filling the operation parameters into unit vectors to obtain operation vectors, and counting the operation vectors according to time sequence to obtain an operation path; comparing the running path with a preset reference path, and performing self-correction on the running path based on the reference path. The invention stores the operation parameters at each moment in a vector form, further determines the working path of each processing task, and carries out real-time self-correction on the working path by the preset standard path by means of the existing path correction concept.
Description
Technical Field
The invention relates to the technical field of equipment process automatic control, in particular to a self-correction method and a system of garbage leachate concentrated solution treatment equipment.
Background
In landfill leachate treatment, a membrane separation process is often adopted as a final treatment unit, concentrated solution is a byproduct of the treatment of landfill leachate by the membrane separation process, and the concentrated solution contains various low-concentration pollutants, but the salinity is higher than that of the stock solution of the leachate, so that the treatment difficulty is extremely high, and serious secondary pollution can be caused if the concentrated solution is improperly treated.
The existing leachate treatment process is mainly a membrane process based on membrane advanced treatment, wherein the membrane advanced treatment comprises NF, RO and DTRO which are mainly processes, and the membrane process can generate 10% -40% of concentrated solution. The concentrated solution has the characteristics of high salt content, complex pollution components, high organic pollutant content, easy scaling and the like, is difficult to treat in the industry, and the general thinking about the concentrated solution treatment at the present stage is control in a system, so that the concentrated solution is reduced, and finally, the concentrated solution is reasonably treated as far as possible.
Landfill leachate concentrate treatment facilities are typically used to treat the liquid portion of the landfill leachate to reduce the volume of waste and the concentration of contaminants. There are many kinds of treatment apparatuses including a filter press, a centrifuge, an evaporator, a crystallizer, and the like, and in general, one treatment apparatus involves a plurality of treatment steps, so that the existing treatment apparatuses are mostly integrated apparatuses.
When the integrated equipment faces different processing tasks, the activated components are different, so that the control process is very troublesome, the staff needs to adopt different control schemes according to the different tasks, the staff is required to know various working procedures, namely, the staff is required to know various working procedures, the labor cost is high, and the requirement of the integrated equipment on the staff is reduced, so that the labor cost is reduced in a variable way, so that the technical problem to be solved by the technical scheme of the invention is solved. Meanwhile, once the system is in error, the shutdown maintenance of the whole equipment can be caused, the treatment efficiency of the garbage leachate concentrated solution is greatly influenced, and a large amount of garbage leachate concentrated solution generated every day has great challenges for storage.
Disclosure of Invention
The invention aims to provide a self-correction method and a system of garbage leachate concentrated solution treatment equipment, which are used for solving the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a method of self-correction of a landfill leachate concentrate treatment facility, the method comprising:
acquiring a participation component of a processing task, acquiring monitoring ports of the participation component, and establishing unit vectors with the same dimension as the number of the monitoring ports;
Acquiring operation parameters in real time according to a monitoring port, filling the operation parameters into unit vectors to obtain operation vectors, and counting the operation vectors according to time sequence to obtain an operation path;
Comparing the running path with a preset reference path, and performing self-correction on the running path based on the reference path; the generation process of the reference path comprises the following steps: and a worker acquires operation vectors of a preset number of processing tasks at all moments in a standard state based on the same flow, calculates an average vector at each moment and arranges the average vectors in time sequence to obtain a reference path.
As a further scheme of the invention: the step of obtaining the participating component of the processing task, obtaining the monitoring ports of the participating component, and establishing unit vectors with the same dimension as the number of the monitoring ports comprises the following steps:
Receiving parameters of liquid to be treated uploaded by staff, and inquiring a necessary flow based on the parameters of the liquid to be treated;
Displaying the necessary flow, receiving the supplementary flow uploaded by the staff, and inquiring the participation component according to the necessary flow and the supplementary flow;
inquiring monitoring ports in the participating component, and numbering the monitoring ports;
And determining vector dimensions according to the number of the monitoring ports, establishing a unit vector, and synchronously establishing the corresponding relation between the positions and the numbers of all elements in the unit vector.
As a further scheme of the invention: the step of acquiring the operation parameters in real time according to the monitoring port, filling the operation parameters into the unit vectors to obtain operation vectors, counting the operation vectors according to time sequence, and obtaining an operation path comprises the following steps:
acquiring operation parameters in real time according to the monitoring port, and normalizing the operation parameters to obtain a normalized value;
inquiring the corresponding element positions of the monitoring ports in the unit vector according to the established corresponding relation, and filling the standard numerical values into the element positions to obtain an operation vector;
Counting operation vectors according to time sequence, comparing adjacent operation vectors, determining time nodes, and connecting the operation vectors at the time nodes to obtain an operation path;
the normalization process comprises the following steps:
; in the/> And x is the acquired operation parameter.
As a further scheme of the invention: the step of counting operation vectors according to time sequence, comparing adjacent operation vectors, determining time nodes, connecting the operation vectors at the time nodes, and obtaining an operation path comprises the following steps:
Counting operation vectors according to time sequence, extracting numerical values from the ordered operation vectors based on element positions, and constructing an array with the element positions as indexes;
For each array, calculating a stable span taking each element as a center, and taking the end point of the stable span as a time node corresponding to each array;
Counting all time nodes, and connecting operation vectors at the time nodes to obtain an operation path; the running path is a matrix, and each column in the matrix corresponds to one running vector;
the calculation process of the stable span comprises the following steps:
；
wherein R finally stabilizes the span, max { is the maximum value of the elements in the collection, R is a positive integer, E () is the average value of the elements in brackets, and Z is a preset numerical value.
As a further scheme of the invention: the step of comparing the running path with a preset reference path and carrying out self-correction on the running path based on the reference path comprises the following steps:
acquiring the number of columns in a running path, and calculating the ratio of the number of columns to the task processing duration;
determining self-correcting frequency according to the ratio; the self-correcting frequency is in direct proportion to the ratio;
Taking the current moment as a starting point, reading a reference vector on the basis of the self-correction frequency in a reference path, and calculating a difference vector between the reference vector and a tail vector in a running path;
an adjustment instruction for each participating component is determined based on the difference vector.
As a further scheme of the invention: the method further comprises the steps of:
Counting and accumulating all the difference vectors to obtain a total value vector;
Receiving weights of the participating components input in advance by staff, and calculating absolute value sums of all values in a total value vector based on the weights;
Comparing the calculated absolute value sum with a preset threshold value to determine a risk level; wherein each threshold corresponds to a risk level;
The risk level is used as a label of the processing task.
The technical scheme of the invention also provides a self-correction system of the garbage leachate concentrated solution treatment equipment, which comprises the following components:
The unit vector construction module is used for acquiring a participation component of the processing task, acquiring monitoring ports of the participation component and establishing unit vectors with the same dimension as the number of the monitoring ports;
The operation vector statistics module is used for acquiring operation parameters in real time according to the monitoring port, filling the operation parameters into the unit vectors to obtain operation vectors, and counting the operation vectors according to time sequence to obtain an operation path;
The device self-correction module is used for comparing the running path with a preset reference path and carrying out self-correction on the running path based on the reference path; the generation process of the reference path comprises the following steps: and a worker acquires operation vectors of a preset number of processing tasks at all moments in a standard state based on the same flow, calculates an average vector at each moment and arranges the average vectors in time sequence to obtain a reference path.
As a further scheme of the invention: the unit vector construction module includes:
The essential flow inquiry unit is used for receiving the parameters of the liquid to be processed uploaded by the staff and inquiring the essential flow based on the parameters of the liquid to be processed;
The supplementary process receiving unit is used for displaying the necessary process, receiving the supplementary process uploaded by the staff and inquiring the participation component according to the necessary process and the supplementary process;
The port numbering unit is used for inquiring the monitoring ports in the participating components and numbering the monitoring ports;
The establishing execution unit is used for determining vector dimensions according to the number of the monitoring ports, establishing a unit vector, and synchronously establishing the corresponding relation between the positions and the numbers of all elements in the unit vector.
As a further scheme of the invention: the operation vector statistics module comprises:
the normalization unit is used for acquiring the operation parameters in real time according to the monitoring port, normalizing the operation parameters and obtaining a normalized value;
The filling unit is used for inquiring the corresponding element positions of the monitoring ports in the unit vectors according to the established corresponding relation and filling the standard numerical values to the element positions to obtain operation vectors;
The vector connection unit is used for counting the operation vectors according to the time sequence, comparing the adjacent operation vectors, determining a time node, and connecting the operation vectors at the time node to obtain an operation path;
the normalization process comprises the following steps:
; in the/> And x is the acquired operation parameter.
As a further scheme of the invention: the vector connection unit includes:
The numerical value extraction subunit is used for counting the operation vectors according to the time sequence, extracting numerical values from the ordered operation vectors based on the element positions, and constructing an array taking the element positions as indexes;
A span calculation subunit, configured to calculate, for each array, a stable span centered on each element, and use an endpoint of the stable span as a time node corresponding to each array;
the statistics subunit is used for counting all time nodes and connecting the operation vectors at the time nodes to obtain an operation path; the running path is a matrix, and each column in the matrix corresponds to one running vector;
the calculation process of the stable span comprises the following steps:
；
wherein R finally stabilizes the span, max { is the maximum value of the elements in the collection, R is a positive integer, E () is the average value of the elements in brackets, and Z is a preset numerical value.
Compared with the prior art, the invention has the beneficial effects that: the invention stores the operation parameters at each moment in a vector form, further determines the working path of each processing task, and carries out real-time self-correction on the working path by the preset standard path by means of the existing path correction concept.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following description will briefly introduce the drawings that are needed in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
FIG. 1 is a flow diagram of a self-correction method for a landfill leachate concentrate treatment facility.
Fig. 2 is a first sub-flow diagram of a self-correction method for a landfill leachate concentrate treatment facility.
FIG. 3 is a second sub-flow diagram of a self-correction method for a landfill leachate concentrate treatment facility.
Fig. 4 is a third sub-flow diagram of a self-correction method for a landfill leachate concentrate treatment facility.
Fig. 5 is a block diagram showing the constitution of a self-correction system of a garbage leachate concentrate treatment apparatus.
Detailed Description
In order to make the technical problems, technical schemes and beneficial effects to be solved more clear, the invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Fig. 1 is a flow chart of a self-correction method of a landfill leachate concentrate treatment device, and in an embodiment of the invention, the method includes:
Step S100: acquiring a participation component of a processing task, acquiring monitoring ports of the participation component, and establishing unit vectors with the same dimension as the number of the monitoring ports;
For a certain treatment task, such as the treatment of landfill leachate or concentrate, the participation components which need to be used are limited and fixed, and although the tasks are all completed by the same equipment, the completion procedures are different, and the involved participation components are different; in order to better illustrate the technical scheme of the application, the term processing task is used to represent any processing task in practical application.
Acquiring a participation component (limited and fixed) of a processing task, inquiring whether a sensor with a data transmission function is installed in the participation component, wherein the sensor with the data transmission function is a monitoring port in the content, and in order to count data acquired by the monitoring ports, the application provides a template, namely a unit vector in the content; each element in the unit vector corresponds to one of the monitor ports.
Step S200: acquiring operation parameters in real time according to a monitoring port, filling the operation parameters into unit vectors to obtain operation vectors, and counting the operation vectors according to time sequence to obtain an operation path;
Acquiring an operation parameter in real time according to the monitoring port, wherein the operation parameter is measurement data of a sensor, the operation parameter is expressed in a numerical form, the corresponding position of the monitoring port is inquired in a unit vector, and the acquired numerical value is filled into the corresponding position; each moment has independent operation parameters, and the operation parameters are counted, and the obtained vector is called an operation vector; then, arranging the vectors in time sequence to obtain a matrix called a running path; one such method is to use the running vector as a column vector, count the column vectors in time sequence at a time corresponding to each column, and obtain a matrix called a running path.
Step S300: comparing the running path with a preset reference path, and performing self-correction on the running path based on the reference path;
the generation process of the reference path comprises the following steps: a worker obtains operation vectors of a preset number of processing tasks at all moments in a standard state based on the same flow, calculates an average vector of each moment and arranges the average vectors in time sequence to obtain a reference path;
Before the technical scheme of the invention is executed, a reference path (reference matrix) is required to be constructed based on the same mode (the mode of the step S200), for a certain processing task, a worker constructs a running path according to the running path generation scheme provided by the step S200, and whether the processing process of the processing task is in a standard state or not is manually judged, and if the processing process is in the standard state, the processing task is taken as a sample; this process is repeated continuously, and when the number of samples is sufficient, an average value (average matrix) of the samples is calculated as a reference path.
On the premise of having a reference path, comparing the generated running path with the reference path, determining the difference, and determining the adjustment parameters of each participating component based on the reference path so that the running path deviates from the reference path, wherein the deviation is called self-correction; the self-correction process is completely controlled by the controller of the equipment, and the response speed is extremely high.
Fig. 2 is a first sub-flowchart of a self-correction method of a landfill leachate concentrate treatment device, where the step of obtaining a participating component of a treatment task, obtaining monitoring ports of the participating component, and establishing unit vectors having dimensions equal to the number of the monitoring ports includes:
step S101: receiving parameters of liquid to be treated uploaded by staff, and inquiring a necessary flow based on the parameters of the liquid to be treated;
Step S102: displaying the necessary flow, receiving the supplementary flow uploaded by the staff, and inquiring the participation component according to the necessary flow and the supplementary flow;
step S103: inquiring monitoring ports in the participating component, and numbering the monitoring ports;
Step S104: and determining vector dimensions according to the number of the monitoring ports, establishing a unit vector, and synchronously establishing the corresponding relation between the positions and the numbers of all elements in the unit vector.
In the technical scheme of the invention, the parameters of the liquid to be processed are uploaded by the staff, the execution main body of the method inquires the necessary flow according to the parameters of the liquid to be processed in the preset flow table, on the basis, the staff may need other flows for other purposes, such as cleaning, which is called as a supplementary flow, and the participation component can be inquired by combining the necessary flow and the supplementary flow, so that the operation of the staff is simplified; in practice, it is also possible for the staff to directly choose the participating components.
For the equipment, each participating component comprises a preset and recorded sensor, and inquiring the participating component comprises a simple database reading process of which monitoring ports, and numbering the monitoring ports after the monitoring ports are read, so that the subsequent corresponding relation establishment process is facilitated; and finally, establishing a vector, wherein the number of elements in the vector is the number of the monitoring ports, the elements in the vector are in one-to-one correspondence with the monitoring ports, and the corresponding relation is established in a very simple process under the condition that the monitoring ports contain unique numbers.
FIG. 3 is a second sub-flowchart of the self-correction method of the landfill leachate concentrate treatment device, wherein the steps of acquiring the operation parameters in real time according to the monitoring port, filling the operation parameters into unit vectors to obtain operation vectors, counting the operation vectors according to time sequence, and obtaining an operation path include:
Step S201: acquiring operation parameters in real time according to the monitoring port, and normalizing the operation parameters to obtain a normalized value;
Step S202: inquiring the corresponding element positions of the monitoring ports in the unit vector according to the established corresponding relation, and filling the standard numerical values into the element positions to obtain an operation vector;
Step S203: counting operation vectors according to time sequence, comparing adjacent operation vectors, determining time nodes, and connecting the operation vectors at the time nodes to obtain an operation path;
the normalization process comprises the following steps:
; in the/> And x is the acquired operation parameter.
The range of values obtained by different sensors is different, the application only considers the fluctuation condition of the values, judges whether the operation is normal or not according to the fluctuation condition, and on the basis of the fluctuation condition, in order to ensure that the consistency of the data in the operation vector is higher, the application maps all the values in the range of 0 to 1, namely, the normalization process in the content.
Inquiring the element positions corresponding to the monitoring ports according to the corresponding relation established in the step S104, and filling the normalized numerical values into the element positions; and counting the operation vectors according to the time sequence, and obtaining the operation path.
Further, in order to simplify the data in the generation process of the operation path, the application introduces a simplified flow, the simplified method is to compare adjacent operation vectors, if the adjacent operation vectors are similar, one operation vector is selected as a representative from the similar operation vectors, and the connection is used as the operation vector of the representative, so as to obtain the simplified operation path.
Specifically, regarding the normalization process, it is a monotonic function ranging between (0, 1), with the denominator being infinitely large when x is minus infinity, the output being zero, and the denominator being close to 1 when x is plus infinity, the output being 1.
As a preferred embodiment of the technical scheme of the present invention, the step of counting the operation vectors according to the time sequence, comparing adjacent operation vectors, determining a time node, connecting the operation vectors at the time node, and obtaining the operation path includes:
Counting operation vectors according to time sequence, extracting numerical values from the ordered operation vectors based on element positions, and constructing an array with the element positions as indexes;
For each array, calculating a stable span taking each element as a center, and taking the end point of the stable span as a time node corresponding to each array;
Counting all time nodes, and connecting operation vectors at the time nodes to obtain an operation path; the running path is a matrix, and each column in the matrix corresponds to one running vector;
the calculation process of the stable span comprises the following steps:
；
wherein R finally stabilizes the span, max { is the maximum value of the elements in the collection, R is a positive integer, E () is the average value of the elements in brackets, and Z is a preset numerical value.
The calculation flow of the stable span is that a range is determined by taking a certain element as the center and taking a value (r) as a radius, then the variance of each value in the range is calculated, if the variance is smaller than a preset value, the radius is feasible, the number of the radius meeting the condition is not unique, and a maximum value is selected from a plurality of radiuses, namely the final stable span.
In particular, how to choose "representative" is an important issue, which provides a specific solution; one operation vector contains multidimensional data, and each dimension is extracted independently to obtain an array taking element positions as indexes; this process is not difficult to understand, for example, the running vectors are column vectors, the running vectors are arranged in time sequence to obtain a matrix, at this time, each row in the matrix is extracted, that is, the array in the above, and the tag of each row is the element position and corresponds to each dimension.
Then, elements are traversed in each array, the elements are taken as centers, how many elements are similar to the elements are queried, the elements are represented by stable spans, and the stable spans are basically time spans, which means that the elements are similar in time span, monitoring data of corresponding monitoring ports are in stable states, and based on the fact, the end points of the time spans are taken as time nodes.
Finally, the application hopes to reserve more time nodes, reject some data as little as possible, reject only those running vectors with extremely high overlap ratio, so the application reserves all time nodes, which means that even if two running vectors have an unstable state even though only one element in the element position, it needs to be reserved.
Fig. 4 is a third sub-flowchart of the self-correction method of the landfill leachate concentrate treatment device, wherein the steps of comparing the running path with a preset reference path and performing self-correction on the running path based on the reference path include:
step S301: acquiring the number of columns in a running path, and calculating the ratio of the number of columns to the task processing duration;
step S302: determining self-correcting frequency according to the ratio; the self-correcting frequency is in direct proportion to the ratio;
Step S303: taking the current moment as a starting point, reading a reference vector on the basis of the self-correction frequency in a reference path, and calculating a difference vector between the reference vector and a tail vector in a running path;
step S304: an adjustment instruction for each participating component is determined based on the difference vector.
In an example of the technical scheme of the invention, the self-correction process is specifically described, the running path is simplified, the number of columns is far smaller than that of the reference path, the more the number of columns is reserved, the more the description time nodes are, the more unstable the whole equipment is, the ratio of the number of columns to the task processing time length is calculated, the greater the ratio is, the lower the stability is, and the more unstable the equipment is; determining self-correcting frequency by the ratio, wherein the larger the ratio is, the higher the self-correcting frequency is; then, taking the current moment as the center, reading the next column vector in the reference path, called a reference vector, calculating the difference vector of the reference vector and the vector (tail vector) corresponding to the current moment in the running path, taking the difference vector as a target, and determining the regulating instruction of each participating component.
It should be noted that, regarding the relationship between the ratio and the self-correction frequency in the above-mentioned content, a worker may upload a direct proportion function, which belongs to a known condition from the viewpoint of the execution subject of the method; the adjustment instruction is determined based on the difference vector, and the difference vector is used as output by uploading an input-output table of each participating component by a worker, and the difference vector is reversely pushed and input by the aid of the input-output table, so that the method belongs to a known condition from the aspect of an execution main body.
It is worth mentioning that the self-correction frequency refers to how long to self-correct once, and the higher the self-correction frequency is, the more times the adjustment instruction is generated; the final function of the application is that the more unstable the equipment is, the larger the ratio of the number of columns to the task processing time length is, the larger the self-correction frequency is, the more the self-correction times are, and the stability of the equipment is further improved.
As a preferred embodiment of the present invention, the method further includes:
Counting and accumulating all the difference vectors to obtain a total value vector;
Receiving weights of the participating components input in advance by staff, and calculating absolute value sums of all values in a total value vector based on the weights;
Comparing the calculated absolute value sum with a preset threshold value to determine a risk level; wherein each threshold corresponds to a risk level;
The risk level is used as a label of the processing task.
Accumulating all the difference vectors to obtain a vector representing the sum value of the positions of the elements, which is called a total value vector; receiving the weight of each participating component uploaded by a staff, wherein the weight is used for representing the importance degree of each participating component (one participating component corresponds to a plurality of monitoring ports and a plurality of element positions, so that a plurality of element positions possibly correspond to the same weight), multiplying each numerical value by the weight and adding the numerical values to obtain a total value; thereby converting all difference vectors into a single value.
From the above, the difference vector affects the self-correction process, and the larger the value obtained by the difference vector, the more frequent the self-correction process, the more severe the self-correction process, and the higher the risk level; the obtained risk level refers to the risk level of a certain processing task, and when the same task is received, the risk level is displayed, so that the staff can be warned in advance, and the staff can pay more attention to the processing process.
Fig. 5 is a block diagram of the self-correction system of the landfill leachate concentrate treatment apparatus, in which the system 10 includes:
the unit vector construction module 11 is used for acquiring a participation component of a processing task, acquiring monitoring ports of the participation component, and establishing unit vectors with the same dimension as the number of the monitoring ports;
The operation vector statistics module 12 is configured to obtain operation parameters in real time according to the monitoring port, fill the operation parameters into unit vectors to obtain operation vectors, and count the operation vectors according to time sequence to obtain an operation path;
The device self-correction module 13 is used for comparing the running path with a preset reference path and carrying out self-correction on the running path based on the reference path; the generation process of the reference path comprises the following steps: and a worker acquires operation vectors of a preset number of processing tasks at all moments in a standard state based on the same flow, calculates an average vector at each moment and arranges the average vectors in time sequence to obtain a reference path.
Further, the unit vector construction module 11 includes:
The essential flow inquiry unit is used for receiving the parameters of the liquid to be processed uploaded by the staff and inquiring the essential flow based on the parameters of the liquid to be processed;
The supplementary process receiving unit is used for displaying the necessary process, receiving the supplementary process uploaded by the staff and inquiring the participation component according to the necessary process and the supplementary process;
The port numbering unit is used for inquiring the monitoring ports in the participating components and numbering the monitoring ports;
The establishing execution unit is used for determining vector dimensions according to the number of the monitoring ports, establishing a unit vector, and synchronously establishing the corresponding relation between the positions and the numbers of all elements in the unit vector.
Specifically, the operation vector statistics module 12 includes:
the normalization unit is used for acquiring the operation parameters in real time according to the monitoring port, normalizing the operation parameters and obtaining a normalized value;
The filling unit is used for inquiring the corresponding element positions of the monitoring ports in the unit vectors according to the established corresponding relation and filling the standard numerical values to the element positions to obtain operation vectors;
The vector connection unit is used for counting the operation vectors according to the time sequence, comparing the adjacent operation vectors, determining a time node, and connecting the operation vectors at the time node to obtain an operation path;
the normalization process comprises the following steps:
; in the/> And x is the acquired operation parameter.
Still further, the vector connection unit includes:
The numerical value extraction subunit is used for counting the operation vectors according to the time sequence, extracting numerical values from the ordered operation vectors based on the element positions, and constructing an array taking the element positions as indexes;
A span calculation subunit, configured to calculate, for each array, a stable span centered on each element, and use an endpoint of the stable span as a time node corresponding to each array;
the statistics subunit is used for counting all time nodes and connecting the operation vectors at the time nodes to obtain an operation path; the running path is a matrix, and each column in the matrix corresponds to one running vector;
the calculation process of the stable span comprises the following steps:
；
wherein R finally stabilizes the span, max { is the maximum value of the elements in the collection, R is a positive integer, E () is the average value of the elements in brackets, and Z is a preset numerical value.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (10)
1. A method of self-correction of a landfill leachate concentrate treatment facility, the method comprising:
acquiring a participation component of a processing task, acquiring monitoring ports of the participation component, and establishing unit vectors with the same dimension as the number of the monitoring ports;
Acquiring operation parameters in real time according to a monitoring port, filling the operation parameters into unit vectors to obtain operation vectors, and counting the operation vectors according to time sequence to obtain an operation path;
Comparing the running path with a preset reference path, and performing self-correction on the running path based on the reference path; the generation process of the reference path comprises the following steps: and a worker acquires operation vectors of a preset number of processing tasks at all moments in a standard state based on the same flow, calculates an average vector at each moment and arranges the average vectors in time sequence to obtain a reference path.
2. The method of claim 1, wherein the step of obtaining the participating components of the processing task, obtaining the monitoring ports of the participating components, and establishing the unit vectors having the same dimensions as the number of the monitoring ports comprises:
Receiving parameters of liquid to be treated uploaded by staff, and inquiring a necessary flow based on the parameters of the liquid to be treated;
Displaying the necessary flow, receiving the supplementary flow uploaded by the staff, and inquiring the participation component according to the necessary flow and the supplementary flow;
inquiring monitoring ports in the participating component, and numbering the monitoring ports;
And determining vector dimensions according to the number of the monitoring ports, establishing a unit vector, and synchronously establishing the corresponding relation between the positions and the numbers of all elements in the unit vector.
3. The method for self-correcting a landfill leachate concentrated solution treatment device according to claim 1, wherein the step of acquiring the operation parameters in real time according to the monitoring port, filling the operation parameters into a unit vector to obtain an operation vector, counting the operation vector in time sequence, and obtaining an operation path comprises:
acquiring operation parameters in real time according to the monitoring port, and normalizing the operation parameters to obtain a normalized value;
inquiring the corresponding element positions of the monitoring ports in the unit vector according to the established corresponding relation, and filling the standard numerical values into the element positions to obtain an operation vector;
Counting operation vectors according to time sequence, comparing adjacent operation vectors, determining time nodes, and connecting the operation vectors at the time nodes to obtain an operation path;
the normalization process comprises the following steps:
; in the/> And x is the acquired operation parameter.
4. A method of self-correcting a landfill leachate concentrate treatment facility according to claim 3, wherein the step of counting the operation vectors in time sequence, comparing adjacent operation vectors, determining a time node, connecting the operation vectors at the time node, and obtaining the operation path comprises:
Counting operation vectors according to time sequence, extracting numerical values from the ordered operation vectors based on element positions, and constructing an array with the element positions as indexes;
For each array, calculating a stable span taking each element as a center, and taking the end point of the stable span as a time node corresponding to each array;
Counting all time nodes, and connecting operation vectors at the time nodes to obtain an operation path; the running path is a matrix, and each column in the matrix corresponds to one running vector;
the calculation process of the stable span comprises the following steps:
；
wherein R finally stabilizes the span, max { is the maximum value of the elements in the collection, R is a positive integer, E () is the average value of the elements in brackets, and Z is a preset numerical value.
5. The method of self-correcting a landfill leachate concentrate treatment apparatus according to claim 4, wherein the step of comparing the running path with a preset reference path and self-correcting the running path based on the reference path comprises:
acquiring the number of columns in a running path, and calculating the ratio of the number of columns to the task processing duration;
determining self-correcting frequency according to the ratio; the self-correcting frequency is in direct proportion to the ratio;
Taking the current moment as a starting point, reading a reference vector on the basis of the self-correction frequency in a reference path, and calculating a difference vector between the reference vector and a tail vector in a running path;
an adjustment instruction for each participating component is determined based on the difference vector.
6. The method of self-correction of a landfill leachate concentrate treatment facility according to claim 5, further comprising:
Counting and accumulating all the difference vectors to obtain a total value vector;
Receiving weights of the participating components input in advance by staff, and calculating absolute value sums of all values in a total value vector based on the weights;
Comparing the calculated absolute value sum with a preset threshold value to determine a risk level; wherein each threshold corresponds to a risk level;
The risk level is used as a label of the processing task.
7. A self-correcting system for a landfill leachate concentrate treatment facility, the system comprising:
The unit vector construction module is used for acquiring a participation component of the processing task, acquiring monitoring ports of the participation component and establishing unit vectors with the same dimension as the number of the monitoring ports;
The operation vector statistics module is used for acquiring operation parameters in real time according to the monitoring port, filling the operation parameters into the unit vectors to obtain operation vectors, and counting the operation vectors according to time sequence to obtain an operation path;
The device self-correction module is used for comparing the running path with a preset reference path and carrying out self-correction on the running path based on the reference path; the generation process of the reference path comprises the following steps: and a worker acquires operation vectors of a preset number of processing tasks at all moments in a standard state based on the same flow, calculates an average vector at each moment and arranges the average vectors in time sequence to obtain a reference path.
8. The self-correction system of a landfill leachate concentrate treatment plant according to claim 7, wherein the unit vector construction module comprises:
The essential flow inquiry unit is used for receiving the parameters of the liquid to be processed uploaded by the staff and inquiring the essential flow based on the parameters of the liquid to be processed;
The supplementary process receiving unit is used for displaying the necessary process, receiving the supplementary process uploaded by the staff and inquiring the participation component according to the necessary process and the supplementary process;
The port numbering unit is used for inquiring the monitoring ports in the participating components and numbering the monitoring ports;
The establishing execution unit is used for determining vector dimensions according to the number of the monitoring ports, establishing a unit vector, and synchronously establishing the corresponding relation between the positions and the numbers of all elements in the unit vector.
9. The system for self-correction of a landfill leachate concentrate treatment plant according to claim 7, wherein the operation vector statistics module comprises:
the normalization unit is used for acquiring the operation parameters in real time according to the monitoring port, normalizing the operation parameters and obtaining a normalized value;
The filling unit is used for inquiring the corresponding element positions of the monitoring ports in the unit vectors according to the established corresponding relation and filling the standard numerical values to the element positions to obtain operation vectors;
The vector connection unit is used for counting the operation vectors according to the time sequence, comparing the adjacent operation vectors, determining a time node, and connecting the operation vectors at the time node to obtain an operation path;
the normalization process comprises the following steps:
; in the/> And x is the acquired operation parameter.
10. The self-correction system of a landfill leachate concentrate treatment plant according to claim 9, wherein the vector connection unit comprises:
The numerical value extraction subunit is used for counting the operation vectors according to the time sequence, extracting numerical values from the ordered operation vectors based on the element positions, and constructing an array taking the element positions as indexes;
A span calculation subunit, configured to calculate, for each array, a stable span centered on each element, and use an endpoint of the stable span as a time node corresponding to each array;
the statistics subunit is used for counting all time nodes and connecting the operation vectors at the time nodes to obtain an operation path; the running path is a matrix, and each column in the matrix corresponds to one running vector;
the calculation process of the stable span comprises the following steps:
；
wherein R finally stabilizes the span, max { is the maximum value of the elements in the collection, R is a positive integer, E () is the average value of the elements in brackets, and Z is a preset numerical value.
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