CN115952427B - Industrial garden digital operation management method and system - Google Patents
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Abstract
The invention relates to the technical field of management of units in parks, and particularly discloses a method and a system for digitally operating and managing an industrial park, wherein the method comprises the steps of determining a monitoring layer according to building height; acquiring operation data of each unit in the industrial park based on the monitoring layer at fixed time to obtain a plane sequence corresponding to the industrial park; inputting the plane sequence into a preset self-identification 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. According to the method, units are clustered according to the height, operation data of the units are obtained, the operation data are inserted into layers with different heights, and operation states of different units are reflected in a centralized mode through a plane; the layers are sequenced according to time, the change characteristics are calculated, 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, so that manual participation is not needed in the process, and the efficiency is high.
Description
Technical Field
The invention relates to the technical field of management of park units, in particular to a method and a system for digital operation management of an industrial park.
Background
An industrial park refers to a special location environment created by a government or business for the purpose of achieving an industry development goal. The type of the material is quite rich, including high-tech development areas, economic technology development areas, technological gardens, industrial areas, financial backbones, cultural creative industrial parks, logistic industrial parks and the like, and recently industry newcastles, technological newcastles and the like which are successively proposed in various places.
The industrial park has a plurality of units, an industrial park manager needs to carry out operation management on the units, and the operation management is not separated from a data acquisition link; for example, in an industrial park mainly comprising an internet of things enterprise, the industrial park periodically acquires energy consumption parameters of the internet of things enterprise, and determines whether an abnormal phenomenon exists in the internet of things enterprise according to the energy consumption parameters; the data acquisition links almost depend on report forms or other document forms, such as a manager issues tasks, unit filling and uploading, some industrial parks with high intelligent degree complete the task issuing process and the unit filling process on intelligent equipment, but even so, the links are still very complicated.
With the development of the internet of things technology, daily data of each unit can be directly obtained, and how to establish a framework for quickly identifying the operation state of each unit in the whole industrial park based on the data is a technical problem to be solved by the technical scheme of the invention.
Disclosure of Invention
The invention aims to provide a method and a system for managing digital operation of an industrial park, 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 industrial park digital operations management, the method comprising:
acquiring building heights of various buildings in an industrial park, and determining a monitoring layer according to the building heights;
acquiring operation data of each unit in the industrial park based on the monitoring layer at fixed time 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-identification 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 the problem unit, and sending the management document to the 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 layer according to the building height comprises the following steps:
obtaining single-layer heights of all buildings in an industrial park, and selecting a building corresponding to the minimum height as a reference building;
determining a monitoring layer according to the reference building; one monitoring layer corresponds to one floor;
and sequentially inquiring the number of the monitoring layers corresponding to each floor in each building, and reserving one monitoring layer at will when the number of the monitoring layers is not the same.
As a further scheme of the invention: the step of obtaining the plane sequence corresponding to the industrial park based on the operation data of each unit in the industrial park at regular time of the monitoring layer comprises the following steps:
sequentially selecting a monitoring layer, and marking mapping areas corresponding to units in the monitoring layer;
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;
wherein, a monitoring layer corresponds to a plane sequence, and an 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-identification 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 the plane sequence;
sequentially selecting two corresponding mapping areas, and calculating correlation coefficients between the two mapping areas to obtain a correlation coefficient matrix;
calculating correlation coefficients of the two monitoring layers according to the correlation coefficient matrix;
and counting the 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 areas is as follows:
in the formula ：
；
wherein ,
for the correlation coefficient between the mapping areas a and b, the mapping areas a and b respectively belong to two monitoring layers and have corresponding position relations; />
For covariance +.>
and />
Variance of a and b regions, respectively; />
The values of points in the area a; />
The values of points in the region b; />
The average value of the numerical values of each point in the area a; />
For the average of the values of points in the b regionValues.
As a further scheme of the invention: the step of locating the problem plane according to the correlation coefficient sequence, and locating the problem unit according to the problem plane comprises the following steps:
fitting a correlation coefficient sequence according to a list-dotting 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 a time period corresponding to different phase relation number ranges;
positioning a target period according to the correlation coefficient range, and inquiring a monitoring layer and a correlation coefficient matrix in the target period;
identifying the monitoring layer and a related coefficient matrix thereof, and determining a problem mapping area;
and querying a question unit corresponding to the question mapping area.
The technical scheme of the invention also provides a system for managing the digital operation of the industrial park, which comprises the following components:
the monitoring layer acquisition module is used for acquiring the building height of each building in the industrial park and determining a monitoring layer according to the building height;
the plane sequence generating module is used for acquiring operation data of each unit in the industrial park based on the monitoring layer at regular time to obtain a plane sequence corresponding to the industrial park; the operation data comprises productivity parameters and energy consumption parameters;
the self-identification module is used for inputting the plane sequence into a preset self-identification 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 acquisition module comprises:
the reference building selection unit is used for obtaining single-layer heights of all buildings in the industrial park and selecting a 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;
the number inquiry unit is used for sequentially inquiring the number of the monitoring layers corresponding to each floor in each building, and when the number of the monitoring layers is not the same, one monitoring layer is reserved at will.
As a further scheme of the invention: the plane sequence generating module comprises:
the mapping region marking unit is used for sequentially selecting the monitoring layers and marking mapping regions corresponding to the units in the monitoring 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 inserting 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;
wherein, a monitoring layer corresponds to a plane sequence, and an industrial park comprises at least one plane sequence.
As a further scheme of the invention: 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, calculating the correlation coefficient between the two mapping areas and obtaining 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 statistics unit is used for counting the 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: according to the method, units are clustered according to the height, operation data of the units are obtained, the operation data are inserted into layers with different heights, and operation states of different units are reflected in a centralized mode through a plane; the layers are sequenced according to time, the change characteristics are calculated, 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, so that manual participation is not needed in the process, and the efficiency is high.
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 block flow diagram of a method for managing digitized operations in an industrial park.
Fig. 2 is a first sub-flowchart of the method for managing digitized operations in an industrial park.
Fig. 3 is a second sub-flowchart of the method for managing digitized operations in an industrial park.
Fig. 4 is a third sub-flowchart of the method for managing digitized operations in an industrial park.
Fig. 5 is a fourth sub-flowchart of the method for managing digitized operations in the industrial park.
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 an industrial park digital operation management method, in an embodiment of the invention, the method includes:
step S100: acquiring building heights of various buildings in an industrial park, and determining a monitoring layer according to the building heights;
the industrial park has a plurality of office buildings, the building standards of which are unified, especially the layer height, and the difference is that the total heights of different buildings are different; selecting monitoring layers with different heights according to building heights, and clustering units at the same height; for example, if the layer height is 4.5m, a height array with a leader 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 as the monitoring layer; it is worth mentioning that the units consist of the rooms of the office buildings.
Step S200: acquiring operation data of each unit in the industrial park based on the monitoring layer at fixed time to obtain a plane sequence corresponding to the industrial park; the operation data comprises productivity parameters and energy consumption parameters;
acquiring operation data of each unit by acquisition equipment pre-installed in each unit, wherein the acquisition equipment can be a certain module built in unit computing equipment or some other acquisition equipment; inserting the operation data into the monitoring layer, wherein the monitoring layer becomes data similar to an image, and the image comprises all units of operation data on the whole plane; arranging the monitoring layers according to time to obtain a plane sequence;
it should be noted that the dimension of the operation data should be not 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 the third dimension.
Step S300: inputting the plane sequence into a preset self-identification model, and determining a correlation coefficient sequence corresponding to the plane sequence;
the plane sequence changes along with the time change, and the adjacent monitoring layers in the plane sequence are sequentially analyzed, so that the change condition of each monitoring layer in the plane 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 (time is on the abscissa and correlation coefficient is on the ordinate), at this time, the problem of the monitoring layer in which time period exists can be positioned by means of a common function analysis tool, and then the problem of which unit occurs is further determined by means of 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 each unit in the daily management process, and the files are recorded and stored files and are sent to a manual detection end for subsequent operation management.
FIG. 2 is a block diagram of a first sub-process of a method for managing digitized operations in an industrial park, where the steps of obtaining building heights of buildings in the industrial park, and determining a monitoring layer according to the building heights include:
step S101: obtaining single-layer heights of all buildings in an industrial park, and selecting a building corresponding to the minimum height as a reference building;
in some industrial parks, standards for different buildings are different in order to make sure that the buildings are staggered; or the functional division of different buildings is different, the residence units are different, and the corresponding standards are also 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 the 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 array.
Step S103: sequentially inquiring the number of monitoring layers corresponding to all floors in each building, and reserving one monitoring layer at will when the number of the monitoring layers is not the same;
because the floor height of the reference building is smaller, when the floor heights of other buildings are larger, the situation that a certain floor belongs to two monitoring layers is likely to occur, at the moment, multiple operation parts are needed to be removed, only one monitoring layer is reserved, the data is prevented from being repeatedly processed, and the working efficiency is reduced.
Fig. 3 is a second sub-flowchart of a method for digitally managing operations in an industrial park, where the step of obtaining a plane sequence corresponding to the industrial park based on the operation data of each unit in the industrial park at regular time of the monitoring layer includes:
step S201: sequentially selecting a monitoring layer, and marking mapping areas corresponding to units in the monitoring layer;
the monitoring layer is overlapped with the plane top view of the industrial park, the monitoring layer is segmented into areas, and the mapping area corresponding to each unit is not difficult to determine;
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;
for example, the dimension of the plane data is taken as an example, the energy consumption parameter can be represented in the direction of the abscissa axis, the ordinate can represent the energy consumption, and the color value can represent whether the risk exists (like a histogram); it is worth mentioning that, since the monitoring layer is a 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, one half reflects the productivity parameter and the other half reflects the energy consumption parameter; the specific rules of the data conversion model are determined by a designer according to the situation, and the rules do 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, the mapping area corresponding to the unit is inserted;
step S204: arranging a monitoring layer containing plane data according to the time information to obtain a plane sequence corresponding to the industrial park;
wherein, a monitoring layer corresponds to a plane sequence, and an industrial park comprises at least one plane sequence.
And arranging the monitoring layers (containing the plane data of each unit) according to the time information to obtain a data sequence.
Fig. 4 is a third sub-flowchart of the method for managing the digitalized operation of the industrial park, where the step of inputting the plane sequence into a preset self-recognition model and determining the correlation coefficient sequence corresponding to the plane sequence includes:
step S301: sequentially reading two adjacent monitoring layers containing plane data in the plane sequence;
step S302: sequentially selecting two corresponding mapping areas, and calculating correlation coefficients between the two mapping areas to obtain a correlation coefficient matrix;
step S303: calculating correlation coefficients of the two monitoring layers according to the correlation coefficient matrix;
step S304: and counting the 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 the plane sequence is to determine a change condition of each monitoring layer in the plane sequence, where a calculation process of the change condition is to sequentially calculate correlation coefficients between adjacent monitoring layers in a time domain, if the correlation coefficients are high, it indicates that the two are identical, if the correlation coefficients are low, it indicates that there is a large difference between the two, and for a unit of stable operation, the operation data is stable in a time period, and accordingly, the correlation coefficients should also be stable.
Specifically, the monitoring layer is composed of a plurality of mapping areas, the process of calculating the correlation coefficient of the monitoring layer needs to perform independent calculation on the plurality of mapping areas, and the independent calculation result is to output a correlation coefficient matrix, and each mapping area can be analyzed by the correlation coefficient matrix, so that each unit is analyzed.
It should be noted that two adjacent images correspond to a 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 areas is as follows:
in the formula ：
；
wherein ,
for the correlation coefficient between the mapping areas a and b, the mapping areas a and b respectively belong to two monitoring layers and have corresponding position relations; />
For covariance +.>
and />
Variance of a and b regions, respectively; />
The values of points in the area a; />
The values of points in the region b; />
The average value of the numerical values of each point in the area a; />
Is the mean of the values of the points in the b region.
The calculation process of the correlation coefficient is not difficult, and the principle is that the covariance of the two mapping areas is divided by the product of the variances of the two mapping areas; it should be noted in detail that
，/>
The value at the ith point is determined by a designer, and the technical scheme of the invention is not limited; typically, the values of each point of the layer are monitored.
FIG. 5 is a fourth sub-flowchart of the method for managing digitized operations in an industrial park, wherein the steps for locating a problem plane according to the correlation coefficient sequence, and locating a problem unit according to the problem plane, include:
step S401: fitting a correlation coefficient sequence according to a list-dotting method to obtain a correlation coefficient curve; the independent variable of the correlation coefficient curve is time;
the list-description-fitting process is a common coordinate operation, and matlab software has similar functions, so that the phase relation sequence can be converted into a continuous correlation coefficient curve through the method;
step S402: intercepting a correlation coefficient curve according to a preset correlation coefficient range to obtain a time period corresponding to different phase relation number 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 period according to the correlation coefficient range, and inquiring a monitoring layer and a correlation coefficient matrix in the target period;
if the operating state of one unit is stable, then the variation of the operating data is fixed at different times, and accordingly, the correlation coefficient is predictable at different times; and inquiring the time periods corresponding to the relevant coefficient ranges, judging whether the time periods are normal, if the relevant coefficients of a certain time period are abnormal, further acquiring the monitoring layers corresponding to the time period and the relevant coefficient matrixes thereof, and judging which mapping areas are abnormal in relevant coefficients.
Step S404: identifying the monitoring layer and a related 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 correlation coefficient matrix and the matrix are operated to determine the problem mapping area.
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 unit of the problem 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, the system including:
the monitoring layer acquisition module is used for acquiring the building height of each building in the industrial park and determining a monitoring layer according to the building height;
the plane sequence generating module is used for acquiring operation data of each unit in the industrial park based on the monitoring layer at regular time to obtain a plane sequence corresponding to the industrial park; the operation data comprises productivity parameters and energy consumption parameters;
the self-identification module is used for inputting the plane sequence into a preset self-identification 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.
The monitoring layer acquisition module comprises:
the reference building selection unit is used for obtaining single-layer heights of all buildings in the industrial park and selecting a 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;
the number inquiry unit is used for sequentially inquiring the number of the monitoring layers corresponding to each floor in each building, and when the number of the monitoring layers is not the same, one monitoring layer is reserved at will.
The plane sequence generating module comprises:
the mapping region marking unit is used for sequentially selecting the monitoring layers and marking mapping regions corresponding to the units in the monitoring 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 inserting 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;
wherein, a monitoring layer corresponds to a plane sequence, and an industrial park comprises at least one plane sequence.
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, calculating the correlation coefficient between the two mapping areas and obtaining 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 statistics unit is used for counting the correlation coefficients between all adjacent monitoring layers to obtain a correlation coefficient sequence corresponding to the plane sequence.
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 (7)
1. A method for managing digitized operations in an industrial park, the method comprising:
acquiring building heights of various buildings in an industrial park, and determining a monitoring layer according to the building heights;
acquiring operation data of each unit in the industrial park based on the monitoring layer at fixed time 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-identification 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;
acquiring a management document of a problem unit, and sending the management document to a manual detection end;
the step of inputting the plane sequence into a preset self-identification 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 the plane sequence;
sequentially selecting two corresponding mapping areas, and calculating correlation coefficients between the two mapping areas to obtain a correlation coefficient matrix;
calculating correlation coefficients of the two monitoring layers according to the correlation coefficient matrix;
counting the correlation coefficients between all adjacent monitoring layers to obtain a correlation coefficient sequence corresponding to the plane sequence;
the calculation model for calculating the correlation coefficient between the two mapping areas is as follows:
in the formula ：
；
wherein ,
for the correlation coefficient between the mapping areas a and b, the mapping areas a and b respectively belong to two monitoring layers and have corresponding position relations; />
For covariance +.>
and />
Variance of a and b regions, respectively; />
The values of points in the area a; />
The values of points in the region b; />
The average value of the numerical values of each point in the area a; />
The average value of the numerical values of each point in the region b; n is the total number of points in the mapped region.
2. The method for digitally managing operations in an industrial park according to claim 1, wherein the step of acquiring building heights of each building in the industrial park and determining a monitoring layer according to the building heights comprises:
obtaining single-layer heights of all buildings in an industrial park, and selecting a building corresponding to the minimum height as a reference building;
determining a monitoring layer according to the reference building; one monitoring layer corresponds to one floor;
and sequentially inquiring the number of the monitoring layers corresponding to each floor in each building, and reserving one monitoring layer at will when the number of the monitoring layers is not the same.
3. The method for managing digitized operations of an industrial park according to claim 1, wherein the step of acquiring operation data of each unit in the industrial park based on the monitoring layer timing, and obtaining a plane sequence corresponding to the industrial park comprises:
sequentially selecting a monitoring layer, and marking mapping areas corresponding to units in the monitoring layer;
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;
wherein, a monitoring layer corresponds to a plane sequence, and an industrial park comprises at least one plane sequence.
4. The method for managing digitized operations of an industrial park of claim 1, wherein said step of locating a problem plane based on said correlation coefficient sequence, and locating a problem unit based on the problem plane comprises:
fitting a correlation coefficient sequence according to a list-dotting 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 a time period corresponding to different phase relation number ranges;
positioning a target period according to the correlation coefficient range, and inquiring a monitoring layer and a correlation coefficient matrix in the target period;
identifying the monitoring layer and a related coefficient matrix thereof, and determining a problem mapping area;
and querying a question unit corresponding to the question mapping area.
5. An industrial park digital operations management system, the system comprising:
the monitoring layer acquisition module is used for acquiring the building height of each building in the industrial park and determining a monitoring layer according to the building height;
the plane sequence generating module is used for acquiring operation data of each unit in the industrial park based on the monitoring layer at regular time to obtain a plane sequence corresponding to the industrial park; the operation data comprises productivity parameters and energy consumption parameters;
the self-identification module is used for inputting the plane sequence into a preset self-identification 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;
the problem processing module is used for acquiring a management document of a problem unit and sending the management document to the manual detection end;
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, calculating the correlation coefficient between the two mapping areas and obtaining 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;
the coefficient statistics unit is used for counting the correlation coefficients between all adjacent monitoring layers to obtain a correlation coefficient sequence corresponding to the plane sequence;
the calculation model for calculating the correlation coefficient between the two mapping areas is as follows:
in the formula ：
；
wherein ,
for the correlation coefficient between the mapping areas a and b, the mapping areas a and b respectively belong to two monitoring layers and have corresponding position relations; />
For covariance +.>
and />
Variance of a and b regions, respectively; />
The values of points in the area a; />
The values of points in the region b; />
The average value of the numerical values of each point in the area a; />
The average value of the numerical values of each point in the region b; n is the total number of points in the mapped region.
6. The system of claim 5, wherein the monitoring layer acquisition module comprises:
the reference building selection unit is used for obtaining single-layer heights of all buildings in the industrial park and selecting a 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;
the number inquiry unit is used for sequentially inquiring the number of the monitoring layers corresponding to each floor in each building, and when the number of the monitoring layers is not the same, one monitoring layer is reserved at will.
7. The system of claim 5, wherein the plane sequence generation module comprises:
the mapping region marking unit is used for sequentially selecting the monitoring layers and marking mapping regions corresponding to the units in the monitoring 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 inserting 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;
wherein, a monitoring layer corresponds to a plane sequence, and an industrial park comprises at least one plane sequence.
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| CN202310237732.1A CN115952427B (en) | 2023-03-14 | 2023-03-14 | Industrial garden digital operation management method and system |
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| CN202310237732.1A CN115952427B (en) | 2023-03-14 | 2023-03-14 | Industrial garden digital operation management method and system |
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| CN109543918A (en) * | 2018-11-30 | 2019-03-29 | 平安科技（深圳）有限公司 | Data predication method, device, computer installation and computer readable storage medium |
| JP2022120703A (en) * | 2021-02-05 | 2022-08-18 | 一般社団法人ナゴヤハウジングセンター | Virtual housing exhibition park system |
| CN113379330A (en) * | 2021-07-15 | 2021-09-10 | 济南科金信息技术有限公司 | Modular BIM park management system and method |
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| CN113379227A (en) * | 2021-06-08 | 2021-09-10 | 软通智慧信息技术有限公司 | Industrial park data processing method and device, computer equipment and storage medium |
| CN114066184A (en) * | 2021-11-02 | 2022-02-18 | 中国联合网络通信集团有限公司 | Area coverage assessment method and device and electronic equipment |
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