CN115952427A - Industrial park digital operation management method and system - Google Patents
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Abstract
The invention relates to the technical field of park unit management, and particularly discloses a method and a system for digital operation management of an industrial park, which comprises the steps of determining a monitoring map layer according to the height of a building; acquiring operation data of each unit in the industrial park at regular time based on the monitoring layer to obtain a plane sequence corresponding to the industrial park; inputting the plane sequence into a preset self-recognition model, and determining a correlation coefficient sequence corresponding to the plane sequence; and positioning a problem plane according to the correlation coefficient sequence, and positioning a problem unit according to the problem plane. The method comprises the steps of clustering units according to the height, acquiring operation data of the units, inserting the operation data into layers with different heights, and intensively reflecting the operation states of the different units through a plane; the layers are sequenced according to time, change characteristics are obtained through calculation, all units on one height are analyzed according to the change characteristics, and a single unit is analyzed according to the analysis results of all units.
Description
Technical Field
The invention relates to the technical field of park unit management, in particular to a method and a system for digitalized operation management of an industrial park.
Background
An industrial park refers to a special location environment created by a government or an enterprise for achieving the goal of industrial development. The type of the system is very rich, and comprises a high and new technology development area, an economic and technology development area, a science and technology park, an industrial area, a financial background, a cultural and creative industry park, a logistics industry park and the like, and an industry new city, a science and technology new city and the like which are successively proposed in recent places.
The industrial park has a plurality of units, and an industrial park manager needs to carry out operation management on the units, so that the operation management can not leave a data acquisition link; for example, in an industrial park mainly based on an internet of things enterprise, the industrial park can periodically acquire energy consumption parameters of the internet of things enterprise and judge whether an abnormal phenomenon exists in the internet of things enterprise according to the energy consumption parameters; the data collection links almost depend on reports or other document forms, for example, managers issue tasks, units fill in and upload, and some industrial parks with high intelligent degree complete the task issuing process and the unit filling process on intelligent equipment, but even if the processes are completed, the link is still very complicated.
With the development of the internet of things technology, most daily data of each unit can be directly acquired, the operation state of each unit can be judged according to the data, and how to establish a framework for quickly identifying the operation state of each unit in the whole industrial park by relying on the data is the technical problem to be solved by the technical scheme of the invention.
Disclosure of Invention
The present invention aims to provide a method and a system for digitized operation management in an industrial park to solve the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme:
an industrial park digital operation management method, comprising:
acquiring the building height of each building in an industrial park, and determining a monitoring map layer according to the building height;
acquiring operation data of each unit in the industrial park at regular time based on the monitoring layer to obtain a plane sequence corresponding to the industrial park; the operation data comprises productivity parameters and energy consumption parameters;
inputting the plane sequence into a preset self-recognition model, and determining a correlation coefficient sequence corresponding to the plane sequence;
positioning a problem plane according to the correlation coefficient sequence, and positioning a problem unit according to the problem plane;
and acquiring a management document of a problem unit and sending the management document to a manual detection end.
As a further scheme of the invention: the step of obtaining the building height of each building in the industrial park and determining the monitoring map layer according to the building height comprises the following steps:
acquiring the single-layer height of each building in the industrial park, and selecting the building corresponding to the minimum height as a reference building;
determining a monitoring layer according to a reference building; one monitoring map layer corresponds to one floor;
and sequentially inquiring the number of monitoring layers corresponding to each floor in each building, and when the number of the monitoring layers is not unique, randomly reserving one monitoring layer.
As a further scheme of the invention: the step of obtaining the operation data of each unit in the industrial park at regular time based on the monitoring layer to obtain the plane sequence corresponding to the industrial park comprises the following steps:
sequentially selecting monitoring image layers, and marking mapping areas corresponding to all units in the monitoring image layers;
acquiring operation data of each unit, and inputting the operation data into a preset data conversion model to obtain plane data; the dimension of the plane data is not more than three;
inserting the plane data into the mapping area corresponding to the unit;
arranging a monitoring layer containing plane data according to the time information to obtain a plane sequence corresponding to the industrial park;
one monitoring layer corresponds to one plane sequence, and one industrial park comprises at least one plane sequence.
As a further scheme of the invention: the step of inputting the plane sequence into a preset self-recognition model and determining a correlation coefficient sequence corresponding to the plane sequence comprises the following steps:
sequentially reading two adjacent monitoring layers containing plane data in a plane sequence;
sequentially selecting two corresponding mapping areas, and calculating a correlation coefficient between the two mapping areas to obtain a correlation coefficient matrix;
calculating the correlation coefficients of the two monitoring layers according to the correlation coefficient matrix;
and counting correlation coefficients between all adjacent monitoring layers to obtain a correlation coefficient sequence corresponding to the plane sequence.
As a further scheme of the invention: the calculation model for calculating the correlation coefficient between the two mapping regions is as follows:
in the formula ：
；
wherein ,
the mapping areas a and b belong to two monitoring layers respectively and have corresponding position relations, wherein the mapping areas a and b are correlation coefficients between the mapping areas a and b; />
Is covariance->
and />
The variances of the a area and the b area respectively; />
The numerical value of each point in the a area; />
The value of each point in the b area; />
The average value of the numerical values of all points in the area a is obtained; />
Is the average of the values of the points in the b area.
As a further scheme of the invention: the step of positioning the problem plane according to the correlation coefficient sequence comprises the following steps:
fitting a correlation coefficient sequence according to a list-point tracing method to obtain a correlation coefficient curve; the independent variable of the correlation coefficient curve is time;
intercepting a correlation coefficient curve according to a preset correlation coefficient range to obtain time periods corresponding to different correlation coefficient ranges;
positioning a target time period according to the correlation coefficient range, and inquiring a monitoring layer and a correlation coefficient matrix thereof in the target time period;
identifying the monitoring layer and the correlation coefficient matrix thereof, and determining a problem mapping area;
and inquiring the problem unit corresponding to the problem mapping area.
The technical scheme of the invention also provides a digital operation management system for the industrial park, which comprises the following steps:
the monitoring layer obtaining module is used for obtaining the building height of each building in the industrial park and determining a monitoring layer according to the building height;
the plane sequence generation module is used for acquiring operation data of each unit in the industrial park at regular time based on the monitoring layer to obtain a plane sequence corresponding to the industrial park; the operation data comprises productivity parameters and energy consumption parameters;
the self-recognition module is used for inputting the plane sequence into a preset self-recognition model and determining a correlation coefficient sequence corresponding to the plane sequence;
the problem positioning module is used for positioning a problem plane according to the correlation coefficient sequence and positioning a problem unit according to the problem plane;
and the problem processing module is used for acquiring the management document of the problem unit and sending the management document to the manual detection end.
As a further scheme of the invention: the monitoring layer obtaining module comprises:
the reference building selection unit is used for acquiring the single-layer height of each building in the industrial park, and selecting the building corresponding to the minimum height as a reference building;
the layer determining unit is used for determining a monitoring layer according to the reference building; one monitoring layer corresponds to one floor;
and the quantity query unit is used for sequentially querying the quantity of the monitoring layers corresponding to each floor in each building, and when the quantity of the monitoring layers is not unique, one monitoring layer is randomly reserved.
As a further scheme of the invention: the plane sequence generation module comprises:
the mapping area marking unit is used for sequentially selecting the monitoring image layers and marking the mapping areas corresponding to the units in the monitoring image layers;
the data conversion unit is used for acquiring operation data of each unit, inputting the operation data into a preset data conversion model and obtaining plane data; the dimension of the plane data is not more than three;
a data insertion unit for inserting the plane data into the mapping area corresponding to the unit;
the layer arrangement unit is used for arranging monitoring layers containing plane data according to the time information to obtain a plane sequence corresponding to the industrial park;
one monitoring layer corresponds to one plane sequence, and one industrial park comprises at least one plane sequence.
As a further scheme of the invention: the self-identification module comprises:
the layer reading unit is used for sequentially reading two adjacent monitoring layers containing plane data in the plane sequence;
the matrix generation unit is used for sequentially selecting two corresponding mapping areas and calculating a correlation coefficient between the two mapping areas to obtain a correlation coefficient matrix;
the coefficient calculation unit is used for calculating the correlation coefficients of the two monitoring layers according to the correlation coefficient matrix;
and the coefficient counting unit is used for counting correlation coefficients between all adjacent monitoring layers to obtain a correlation coefficient sequence corresponding to the plane sequence.
Compared with the prior art, the invention has the beneficial effects that: the method comprises the steps of clustering units according to the height, acquiring operation data of the units, inserting the operation data into layers with different heights, and intensively reflecting the operation states of the different units through a plane; the layers are sequenced according to time, change characteristics are obtained through calculation, all units on one height are analyzed according to the change characteristics, and a single unit is analyzed according to the analysis results of all units.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 is a flow chart of a digital operation management method for an industrial park.
Fig. 2 is a first sub-flow block diagram of a method for managing digital operations in an industrial park.
Fig. 3 is a second sub-flow diagram of the method for managing the digital operations in the industrial park.
Fig. 4 is a third sub-flow diagram of the method for managing the digital operations in the industrial park.
Fig. 5 is a fourth sub-flow diagram of the method for managing the digital operations in the industrial park.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more clearly apparent, the present 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 merely illustrative of the invention and are not intended to limit the invention.
Fig. 1 is a flow chart of a method for managing digital operations of an industrial park, in an embodiment of the present invention, the method for managing digital operations of an industrial park includes:
step S100: acquiring the building height of each building in an industrial park, and determining a monitoring layer according to the building height;
a plurality of office buildings are arranged in an industrial park, and the building standards of the office buildings are mostly unified, particularly the floor heights are different from each other in the total height of different buildings; monitoring layers with different heights are selected according to the building height, and units at the same height can be clustered; for example, if the layer height is 4.5m, a height sequence with a head of 2.5m and a tolerance of 4.5m is selected, a monitoring plane (monitoring layer) is determined, and the unit passed by the plane is classified in the monitoring layer; it is worth mentioning that the units are made up of individual rooms of individual office buildings.
Step S200: acquiring operation data of each unit in the industrial park at regular time based on the monitoring layer to obtain a plane sequence corresponding to the industrial park; the operation data comprises productivity parameters and energy consumption parameters;
acquiring the operation data of each unit by acquisition equipment which is pre-installed in each unit, wherein the acquisition equipment can be a certain module which is arranged in the unit computing equipment or other acquisition equipment; inserting the operation data into a monitoring layer, wherein the monitoring layer becomes data similar to an image, and the image comprises the operation data of all units on the whole plane; arranging the monitoring layers according to time to obtain a planar sequence;
it should be noted that the dimension of the operation data should not be greater than three, because the monitoring layer can reflect three-dimensional parameters at most, the image itself is two-dimensional, and the value of each point is a third dimension.
Step S300: inputting the plane sequence into a preset self-recognition model, and determining a correlation coefficient sequence corresponding to the plane sequence;
the planar sequence changes along with the change of time, adjacent monitoring layers in the planar sequence are sequentially analyzed, the change condition of each monitoring layer in the planar sequence can be judged, and the change condition is represented by a correlation coefficient.
Step S400: positioning a problem plane according to the correlation coefficient sequence, and positioning a problem unit according to the problem plane;
after the correlation coefficient sequence is generated, the change condition of one monitoring layer is converted into coordinates (the abscissa is time, and the ordinate is correlation coefficient), and at the moment, the monitoring layer in which time period has a problem can be positioned by using a common function analysis tool, and then the unit in which the problem occurs is further determined by using the correlation coefficient matrix corresponding to the monitoring layer.
Step S500: acquiring a management document of a problem unit, and sending the management document to a manual detection end;
the management document refers to files such as reports of all units in the daily management process, and the files are recorded and reserved files and are sent to the manual detection end to perform subsequent operation management.
Fig. 2 is a first sub-flow block diagram of a digitized operation management method for an industrial park, where the step of obtaining the building height of each building in the industrial park and determining a monitoring layer according to the building height includes:
step S101: acquiring the single-layer height of each building in the industrial park, and selecting the building corresponding to the minimum height as a reference building;
in some industrial parks, in order to make buildings different from one another, the standards of different buildings are different; or different buildings have different functional divisions and different entrance units, and the corresponding standards are different; at this time, the building with the smallest floor height is used as a reference building.
Step S102: determining a monitoring layer according to a reference building; one monitoring layer corresponds to one floor;
and determining a monitoring layer according to the reference building, and determining the description of the mode parameters related to the height sequence.
Step S103: sequentially inquiring the number of monitoring layers corresponding to each floor in each building, and when the number of the monitoring layers is not unique, randomly reserving one monitoring layer;
because the floor height of benchmark building is less, when the floor height of other buildings is great, the situation that a certain floor belongs to two monitoring layers is likely to appear, at this moment, need reject and do the part more, only keep a monitoring layer, prevent that data from being reprocessed, reduce work efficiency.
Fig. 3 is a second sub-flow block diagram of the method for digital operation management of an industrial park, where the step of obtaining operation data of each unit in the industrial park at regular time based on the monitoring layer to obtain a plane sequence corresponding to the industrial park includes:
step S201: sequentially selecting monitoring image layers, and marking mapping areas corresponding to all units in the monitoring image layers;
the monitoring layer is overlapped with the plane top view of the industrial park, the monitoring layer is subjected to region segmentation, and the mapping region corresponding to each unit is determined without difficulty;
step S202: acquiring operation data of each unit, and inputting the operation data into a preset data conversion model to obtain plane data; the dimension of the plane data is not more than three;
the dimension of the plane data needs to be illustrated, taking an energy consumption parameter as an example, the energy consumption type can be represented in the direction of the abscissa axis, the energy consumption can be represented by the ordinate axis, and the color value can represent whether a risk exists (similar to a histogram); it is worth mentioning that since the monitoring layer is the monitoring layer at a certain moment, the time information does not need to occupy a dimension for representation; in addition, the corresponding mapping area can be divided into two halves, wherein one half reflects productivity parameters and the other half reflects energy consumption parameters; the specific rule of the data conversion model is determined by the designer according to the circumstances, and the rule does not belong to the content defined by the technical scheme of the invention.
Step S203: inserting the plane data into the mapping area corresponding to the unit;
after the plane data is generated, inserting the mapping area corresponding to the unit;
step S204: arranging a monitoring layer containing plane data according to the time information to obtain a plane sequence corresponding to the industrial park;
one monitoring layer corresponds to one plane sequence, and one industrial park comprises at least one plane sequence.
And arranging the monitoring layers (containing plane data of each unit) according to the time information to obtain a data sequence.
Fig. 4 is a third sub-flow diagram of the method for digital operation management in an industrial park, where the step of inputting the plane sequence into a preset self-recognition model and determining a correlation coefficient sequence corresponding to the plane sequence includes:
step S301: sequentially reading two adjacent monitoring layers containing plane data in a plane sequence;
step S302: sequentially selecting two corresponding mapping areas, and calculating a correlation coefficient between the two mapping areas to obtain a correlation coefficient matrix;
step S303: calculating the correlation coefficients of the two monitoring layers according to the correlation coefficient matrix;
step S304: and counting correlation coefficients between all adjacent monitoring layers to obtain a correlation coefficient sequence corresponding to the plane sequence.
In an example of the technical solution of the present invention, the purpose of performing self-identification on a plane sequence is to determine a change condition of each monitoring layer in the plane sequence, where the change condition is calculated in a process of sequentially calculating correlation coefficients between adjacent monitoring layers in a time domain, and if the correlation coefficients are high, it indicates that the correlation coefficients are the same, and if the correlation coefficients are low, it indicates that a large difference exists between the correlation coefficients.
Specifically, the monitoring layer is composed of a plurality of mapping regions, the process of calculating the correlation coefficient of the monitoring layer needs to perform independent calculation on the plurality of mapping regions, the result of the independent calculation is to output a correlation coefficient matrix, and each mapping region can be analyzed by the correlation coefficient matrix, so that each unit is analyzed.
It is worth mentioning that two adjacent images correspond to one correlation coefficient, and the length of the correlation coefficient sequence is one less than that of the plane sequence.
Further, the calculation model for calculating the correlation coefficient between the two mapping regions is:
in the formula ：
；
wherein ,
the mapping areas a and b belong to two monitoring layers respectively and have corresponding position relations, wherein the mapping areas a and b are correlation coefficients between the mapping areas a and b; />
Is covariance->
and />
The variances of the a area and the b area respectively; />
The numerical value of each point in the area a; />
The value of each point in the b area; />
The average value of the numerical values of all points in the area a is obtained; />
Is the average of the values of the points in the b area.
The calculation process of the correlation coefficient is not difficult, and the principle is to divide the covariance of the two mapping areas by the product of the variances of the two mapping areas; what needs to be concretely described in the above
，/>
The value of the ith point position, which physical meaning needs to be determined by designers, and the technical scheme of the invention is not limited; in general, the values of the points in the layer are monitored. />
Fig. 5 is a fourth sub-flow block diagram of the method for digital operation management in an industrial park, where the step of locating a problem plane according to the correlation coefficient sequence includes:
step S401: fitting a correlation coefficient sequence according to a list-point tracing method to obtain a correlation coefficient curve; the independent variable of the correlation coefficient curve is time;
the list-point drawing-fitting process is a common coordinate operation, matlab software has similar functions, and the correlation coefficient sequence can be converted into a continuous correlation coefficient curve by the method;
step S402: intercepting a correlation coefficient curve according to a preset correlation coefficient range to obtain time periods corresponding to different correlation coefficient ranges;
after the correlation coefficient curve is generated, intercepting the correlation coefficient curve according to a preset correlation coefficient range;
step S403: positioning a target time interval according to the correlation coefficient range, and inquiring a monitoring layer and a correlation coefficient matrix thereof in the target time interval;
if the operating state of one unit is stable, the change of the operating data at different times is fixed, and correspondingly, the correlation coefficient is predictable at different times; and inquiring time periods corresponding to the correlation coefficient ranges, judging whether the time periods are normal or not, if the correlation coefficient of a certain time period is abnormal, further acquiring the monitoring layer corresponding to the time period and the correlation coefficient matrix thereof, and specifically judging which mapping areas have abnormal correlation coefficients.
Step S404: identifying the monitoring layer and the correlation coefficient matrix thereof, and determining a problem mapping area;
the identification process of the correlation coefficient matrix is simple, a standard matrix is preset, and the problem mapping area can be determined by calculating the correlation coefficient matrix and the matrix.
Step S405: inquiring a problem unit corresponding to the problem mapping area;
the mapping area corresponds to the unit, and the process of inquiring the problem unit according to the problem mapping area is not difficult.
As a preferred embodiment of the technical solution of the present invention, there is provided an industrial park digital operation management system, including:
the monitoring layer obtaining module is used for obtaining the building height of each building in the industrial park and determining a monitoring layer according to the building height;
the plane sequence generation module is used for acquiring operation data of each unit in the industrial park at regular time based on the monitoring layer to obtain a plane sequence corresponding to the industrial park; the operation data comprises productivity parameters and energy consumption parameters;
the self-recognition module is used for inputting the plane sequence into a preset self-recognition model and determining a correlation coefficient sequence corresponding to the plane sequence;
the problem positioning module is used for positioning a problem plane according to the correlation coefficient sequence and positioning a problem unit according to the problem plane;
and the problem processing module is used for acquiring the management document of the problem unit and sending the management document to the manual detection terminal.
The monitoring layer obtaining module comprises:
the reference building selection unit is used for acquiring the single-layer height of each building in the industrial park, and selecting the building corresponding to the minimum height as a reference building;
the layer determining unit is used for determining a monitoring layer according to the reference building; one monitoring layer corresponds to one floor;
and the quantity query unit is used for sequentially querying the quantity of the monitoring layers corresponding to each floor in each building, and when the quantity of the monitoring layers is not unique, one monitoring layer is randomly reserved.
The plane sequence generation module comprises:
the mapping area marking unit is used for sequentially selecting the monitoring image layers and marking the mapping areas corresponding to the units in the monitoring image layers;
the data conversion unit is used for acquiring operation data of each unit, inputting the operation data into a preset data conversion model and obtaining plane data; the dimension of the plane data is not more than three;
a data insertion unit for inserting the plane data into the mapping area corresponding to the unit;
the layer arrangement unit is used for arranging monitoring layers containing plane data according to the time information to obtain a plane sequence corresponding to the industrial park;
one monitoring layer corresponds to one plane sequence, and one industrial park comprises at least one plane sequence.
The self-identification module comprises:
the layer reading unit is used for sequentially reading two adjacent monitoring layers containing plane data in the plane sequence;
the matrix generation unit is used for sequentially selecting two corresponding mapping areas and calculating a correlation coefficient between the two mapping areas to obtain a correlation coefficient matrix;
the coefficient calculation unit is used for calculating the correlation coefficients of the two monitoring layers according to the correlation coefficient matrix;
and the coefficient counting unit is used for counting correlation coefficients between all adjacent monitoring layers to obtain a correlation coefficient sequence corresponding to the plane sequence.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. A method for managing digital operation in an industrial park is characterized by comprising the following steps:
acquiring the building height of each building in an industrial park, and determining a monitoring map layer according to the building height;
acquiring operation data of each unit in the industrial park at regular time based on the monitoring layer to obtain a plane sequence corresponding to the industrial park; the operation data comprises productivity parameters and energy consumption parameters;
inputting the plane sequence into a preset self-recognition model, and determining a correlation coefficient sequence corresponding to the plane sequence;
positioning a problem plane according to the correlation coefficient sequence, and positioning a problem unit according to the problem plane;
and acquiring a management document of a problem unit and sending the management document to a manual detection end.
2. The digitized operation management method for industrial parks as claimed in claim 1, wherein said step of obtaining the building height of each building in the industrial park, and determining the monitoring layer according to the building height comprises:
acquiring the single-layer height of each building in the industrial park, and selecting the building corresponding to the minimum height as a reference building;
determining a monitoring layer according to a reference building; one monitoring layer corresponds to one floor;
and sequentially inquiring the number of monitoring layers corresponding to each floor in each building, and reserving one monitoring layer randomly when the number of the monitoring layers is not unique.
3. The method according to claim 1, wherein the step of obtaining the plane sequence corresponding to the industrial park by obtaining the operation data of each unit in the industrial park at regular time based on the monitoring layer comprises:
sequentially selecting monitoring image layers, and marking mapping areas corresponding to all units in the monitoring image layers;
acquiring operation data of each unit, and inputting the operation data into a preset data conversion model to obtain plane data; the dimension of the plane data is not more than three;
inserting the plane data into the mapping area corresponding to the unit;
arranging a monitoring layer containing plane data according to the time information to obtain a plane sequence corresponding to the industrial park;
one monitoring layer corresponds to one plane sequence, and one industrial park comprises at least one plane sequence.
4. The industrial park digital operation management method according to claim 1, wherein the step of inputting the plane sequence into a preset self-recognition model and determining the correlation coefficient sequence corresponding to the plane sequence comprises:
sequentially reading two adjacent monitoring layers containing plane data in a plane sequence;
sequentially selecting two corresponding mapping areas, and calculating a correlation coefficient between the two mapping areas to obtain a correlation coefficient matrix;
calculating the correlation coefficients of the two monitoring layers according to the correlation coefficient matrix;
and counting correlation coefficients between all adjacent monitoring layers to obtain a correlation coefficient sequence corresponding to the plane sequence.
5. The industrial park digital operation management method according to claim 4, wherein the calculation model for calculating the correlation coefficient between the two mapping areas is:
in the formula ：
；
wherein ,
the mapping areas a and b belong to two monitoring layers respectively and have corresponding position relations, wherein the mapping areas a and b are correlation coefficients between the mapping areas a and b; />
Is covariance->
and />
The variances of the a area and the b area respectively; />
The numerical value of each point in the area a;
the value of each point in the b area; />
The average value of the numerical values of all points in the area a is obtained; />
Is the average of the values of the points in the b area.
6. The digitized operation management method for industrial parks as claimed in claim 1, wherein said step of positioning problem planes according to said correlation coefficient sequence, and positioning problem units according to said problem planes comprises:
fitting a correlation coefficient sequence according to a list-point tracing method to obtain a correlation coefficient curve; the independent variable of the correlation coefficient curve is time;
intercepting a correlation coefficient curve according to a preset correlation coefficient range to obtain time periods corresponding to different correlation coefficient ranges;
positioning a target time interval according to the correlation coefficient range, and inquiring a monitoring layer and a correlation coefficient matrix thereof in the target time interval;
identifying the monitoring layer and the correlation coefficient matrix thereof, and determining a problem mapping area;
and inquiring the problem unit corresponding to the problem mapping area.
7. An industrial park digital operation management system, characterized in that the system comprises:
the monitoring layer obtaining module is used for obtaining the building height of each building in the industrial park and determining a monitoring layer according to the building height;
the plane sequence generation module is used for acquiring operation data of each unit in the industrial park at regular time based on the monitoring layer to obtain a plane sequence corresponding to the industrial park; the operation data comprises productivity parameters and energy consumption parameters;
the self-recognition module is used for inputting the plane sequence into a preset self-recognition model and determining a correlation coefficient sequence corresponding to the plane sequence;
the problem positioning module is used for positioning a problem plane according to the correlation coefficient sequence and positioning a problem unit according to the problem plane;
and the problem processing module is used for acquiring the management document of the problem unit and sending the management document to the manual detection end.
8. The digitized operation management system for industrial parks according to claim 7, wherein the monitoring layer acquiring module comprises:
the reference building selection unit is used for acquiring the single-layer height of each building in the industrial park, and selecting the building corresponding to the minimum height as a reference building;
the layer determining unit is used for determining a monitoring layer according to the reference building; one monitoring layer corresponds to one floor;
and the quantity query unit is used for sequentially querying the quantity of the monitoring layers corresponding to each floor in each building, and when the quantity of the monitoring layers is not unique, one monitoring layer is randomly reserved.
9. The digital operation management system for industrial parks as claimed in claim 7, wherein the plane sequence generating module includes:
the mapping area marking unit is used for sequentially selecting the monitoring image layers and marking the mapping areas corresponding to all the units in the monitoring image layers;
the data conversion unit is used for acquiring operation data of each unit, inputting the operation data into a preset data conversion model and obtaining plane data; the dimension of the plane data is not more than three;
a data insertion unit for inserting the plane data into the mapping area corresponding to the unit;
the layer arrangement unit is used for arranging the monitoring layers containing the plane data according to the time information to obtain a plane sequence corresponding to the industrial park;
one monitoring layer corresponds to one plane sequence, and one industrial park comprises at least one plane sequence.
10. The digital operation management system for industrial parks as claimed in claim 7, wherein the self-identification module includes:
the layer reading unit is used for sequentially reading two adjacent monitoring layers containing plane data in the plane sequence;
the matrix generation unit is used for sequentially selecting two corresponding mapping areas and calculating a correlation coefficient between the two mapping areas to obtain a correlation coefficient matrix;
the coefficient calculation unit is used for calculating the correlation coefficients of the two monitoring layers according to the correlation coefficient matrix;
and the coefficient counting unit is used for counting correlation coefficients between all adjacent monitoring layers to obtain a correlation coefficient sequence corresponding to the plane sequence.
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