CN108154286B - Data processing method and device - Google Patents

Data processing method and device Download PDF

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CN108154286B
CN108154286B CN201711260953.1A CN201711260953A CN108154286B CN 108154286 B CN108154286 B CN 108154286B CN 201711260953 A CN201711260953 A CN 201711260953A CN 108154286 B CN108154286 B CN 108154286B
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preset time
evaluation
security
latitude
security evaluation
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CN108154286A (en
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苏国锋
陈涛
赵文文
李志鹏
黄全义
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Tsinghua University
Beijing Global Safety Technology Co Ltd
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Beijing Global Safety Technology Co Ltd
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Abstract

The embodiment of the invention provides a data processing method and device, and relates to the technical field of Internet. On one hand, the embodiment of the invention acquires the data of at least two safety evaluation dimensions corresponding to the safety evaluation latitude in each geographic area at each preset time based on the designated at least two geographic areas and the designated at least one preset time, acquires the weight, acquires the standard comparison data, and performs gray association processing according to the acquired data of at least two safety evaluation dimensions corresponding to the safety evaluation latitude in each geographic area at the preset time, the acquired weight and the standard comparison data for each preset time, and acquires the association corresponding to the safety evaluation latitude in each geographic area as the safety evaluation result of the safety evaluation latitude in each geographic area at the preset time, thereby improving the accuracy of the safety evaluation method.

Description

Data processing method and device
[ field of technology ]
The present invention relates to the field of internet technologies, and in particular, to a data processing method and apparatus.
[ background Art ]
In practical applications, safety problems are increasingly focused by users, wherein safety problems in the safety production industry are naturally also in the category of focus of users. The safety production industry generally comprises a coal mine safety production industry, a metal and nonmetal mine safety production industry, a dangerous chemical safety production industry, a firework and firecracker safety production industry, a road traffic safety production industry, a railway traffic safety production industry or a fishery ship safety production industry and the like.
In the prior art, different safety production industries correspond to data of different safety evaluation dimensionalities, for example, if the safety production industry is a coal mine safety production industry, the safety evaluation dimensionality data of the industry is the number of major accident potential, the number of mines, the number of death people of coal mine accidents, the number of onset of coal mine accidents or the death rate of millions of tons of coal mine, and the like.
When evaluating the safety of a certain safety production industry in a geographic area at a certain moment or in a certain time period, the data of a certain safety evaluation dimension of the safety production industry in the geographic area at the certain moment or in the certain time period can be collected, then the data of the safety evaluation dimension is compared with a standard comparison value 0 in an absolute safety state, and the closer to 0 is the higher the safety of the safety production industry in the geographic area at the moment or in the certain time period, the smaller the safety is, otherwise.
In the process of implementing the present invention, the inventor finds that at least the following problems exist in the prior art:
because of many factors affecting the safety, the safety of the safety production industry is evaluated only according to certain safety evaluation dimension data, and the safety evaluation results are inaccurate due to comparison on one side.
[ invention ]
In view of the above, the embodiments of the present invention provide a data processing method and apparatus, which are used to solve the problem of low accuracy of the security evaluation method in the prior art.
In a first aspect, an embodiment of the present invention provides a data processing method, including:
acquiring data of at least two security evaluation dimensions corresponding to the security evaluation latitude in each geographical area at each preset time based on the designated at least two geographical areas and the designated at least one preset time;
acquiring the weight of the data of the at least two security evaluation dimensions corresponding to the security evaluation latitude in each geographic area at each preset time;
acquiring standard comparison data of the at least two security evaluation dimensions corresponding to any preset time in the at least one preset time of the security evaluation latitude in any one of the specified at least two geographical areas;
and aiming at each preset time, carrying out gray association processing according to the acquired data of at least two safety evaluation dimensions corresponding to the safety evaluation latitude in each geographic area at the preset time, the weight and the standard comparison data, and acquiring association corresponding to the safety evaluation latitude in each geographic area to serve as a safety evaluation result of the safety evaluation latitude in each geographic area at the preset time.
In the aspect and any possible implementation manner as described above, there is further provided an implementation manner, if the number of the at least one preset time is at least two, the method further includes:
and sequencing the security evaluation results of the security evaluation latitudes in the geographical areas at each preset time aiming at each geographical area to obtain sequencing results to serve as security trend evaluation results of the security evaluation latitudes in the geographical areas.
In a second aspect, an embodiment of the present invention provides a data processing method, including:
acquiring a security evaluation result of each security evaluation latitude in at least two security evaluation latitudes in each geographical area at each preset time based on the designated at least two geographical areas and the designated at least one preset time;
acquiring a weight corresponding to each security evaluation latitude in the at least two security evaluation latitudes in each geographic area at each preset time;
acquiring standard result comparison data corresponding to the security evaluation result of each security evaluation latitude in the at least two security evaluation latitudes in any preset time in the at least one preset time in any one of the specified at least two geographical areas;
And aiming at each preset time, according to the obtained safety evaluation result of each safety evaluation latitude in the preset time, the weight and the standard result comparison data, obtaining the corresponding association degree of each geographic area as the comprehensive safety evaluation result of each geographic area in the preset time.
In the aspect and any possible implementation manner as described above, there is further provided an implementation manner, if the number of the at least one preset time is at least two, the method further includes:
and sequencing the obtained comprehensive safety evaluation results of the geographic areas at each preset time aiming at each geographic area to obtain sequencing results serving as comprehensive safety trend evaluation results of the geographic areas.
Aspects and any possible implementation manner as described above, further provides an implementation manner, based on the specified at least two geographical areas and the specified at least one preset time, obtaining a security evaluation result of each of the at least two security evaluation latitudes in each geographical area at each preset time, including:
Acquiring data of at least two security evaluation dimensions corresponding to each security evaluation latitude in each geographical area at each preset time based on the designated at least two geographical areas and the designated at least one preset time;
acquiring the weight of the data of the at least two security evaluation dimensions corresponding to each security evaluation latitude in each geographic area at each preset time;
acquiring standard comparison data of the at least two security evaluation dimensions corresponding to any preset time in the at least one preset time for each of the at least two security evaluation latitudes in any one of the specified at least two geographical areas;
and aiming at each safety evaluation latitude and each preset time, carrying out gray correlation processing according to the obtained data of at least two safety evaluation dimensions corresponding to the safety evaluation latitude in each geographic area at the preset time, the weight and the standard comparison data, and obtaining the correlation corresponding to the safety evaluation latitude in each geographic area as a safety evaluation result of the safety evaluation latitude in each geographic area at the preset time.
Aspects and any one of the possible implementations described above, further providing an implementation, the safety assessment latitude includes a coal mine safety production industry, a metal and nonmetal mine safety production industry, a hazardous chemical safety production industry, and a firework safety production industry.
In a third aspect, an embodiment of the present invention provides a data processing apparatus, including:
the acquisition module is used for acquiring data of at least two security evaluation dimensions corresponding to the security evaluation latitude in each geographical area at each preset time based on the at least two designated geographical areas and the at least one preset time;
the acquiring module is further configured to acquire weights of data of the at least two security evaluation dimensions corresponding to the security evaluation latitude in each geographic area at each preset time;
the acquiring module is further configured to acquire standard comparison data of the at least two security evaluation dimensions corresponding to the security evaluation latitude in any one of the specified at least two geographical areas at any one of the at least one preset time;
the processing module is used for processing gray association according to the acquired data of at least two security evaluation dimensions corresponding to the security evaluation latitude in each geographic area at the preset time, the weight and the standard comparison data, and acquiring association corresponding to the security evaluation latitude in each geographic area as a security evaluation result of the security evaluation latitude in each geographic area at the preset time.
In the aspect and any possible implementation manner as described above, there is further provided an implementation manner, if the number of the at least one preset time is at least two, the apparatus further includes:
the ranking module is used for ranking the security evaluation results of the security evaluation latitudes in the geographical areas at each preset time aiming at each geographical area, and obtaining ranking results to serve as security trend evaluation results of the security evaluation latitudes in the geographical areas.
In a fourth aspect, an embodiment of the present invention provides a data processing apparatus, including:
the acquisition module is used for acquiring a safety evaluation result of each safety evaluation latitude in at least two safety evaluation latitudes in each geographic area at each preset time based on the designated at least two geographic areas and the designated at least one preset time;
the acquiring module is further configured to acquire a weight corresponding to each security evaluation latitude in the at least two security evaluation latitudes in each geographic area at each preset time;
the acquiring module is further configured to acquire standard result comparison data corresponding to a security evaluation result of each of the at least two security evaluation latitudes in any one of the at least one preset time in any one of the specified at least two geographical areas;
The processing module is used for acquiring the association degree corresponding to each geographic area as the comprehensive safety evaluation result of each geographic area at the preset time according to the acquired safety evaluation result of each safety evaluation latitude in the preset time, the weight and the standard result comparison data of each safety evaluation latitude in the at least two geographic areas.
In the aspect and any possible implementation manner as described above, there is further provided an implementation manner, if the number of the at least one preset time is at least two, the apparatus further includes:
the sequencing module is used for sequencing the obtained comprehensive safety evaluation results of the geographic areas at each preset time aiming at each geographic area, and obtaining sequencing results to serve as comprehensive safety trend evaluation results of the geographic areas.
Aspects and any possible implementation manner as described above, further provide an implementation manner, where the obtaining module is specifically configured to:
acquiring data of at least two security evaluation dimensions corresponding to each security evaluation latitude in each geographical area at each preset time based on the designated at least two geographical areas and the designated at least one preset time;
Acquiring the weight of the data of the at least two security evaluation dimensions corresponding to each security evaluation latitude in each geographic area at each preset time;
acquiring standard comparison data of the at least two security evaluation dimensions corresponding to any preset time in the at least one preset time for each of the at least two security evaluation latitudes in any one of the specified at least two geographical areas;
the processing module is further configured to:
and aiming at each safety evaluation latitude and each preset time, carrying out gray correlation processing according to the obtained data of at least two safety evaluation dimensions corresponding to the safety evaluation latitude in each geographic area at the preset time, the weight and the standard comparison data, and obtaining the correlation corresponding to the safety evaluation latitude in each geographic area as a safety evaluation result of the safety evaluation latitude in each geographic area at the preset time.
Aspects and any one of the possible implementations described above, further providing an implementation, the safety assessment latitude includes a coal mine safety production industry, a metal and nonmetal mine safety production industry, a hazardous chemical safety production industry, and a firework safety production industry.
One of the above technical solutions has the following beneficial effects:
according to the first data processing method provided by the embodiment of the invention, based on at least two designated geographic areas and at least one designated preset time, data of at least two safety evaluation dimensions corresponding to each preset time are obtained for the safety evaluation latitude in each geographic area, the weight of the data of the at least two safety evaluation dimensions corresponding to each preset time is obtained for the safety evaluation latitude in each geographic area, the association degree corresponding to the safety evaluation latitude in each geographic area is obtained as the safety evaluation result of the safety evaluation latitude in each geographic area in any preset time. In the embodiment of the invention, the safety of the safety evaluation latitude in any designated geographic area is evaluated according to the data of at least two safety evaluation dimensions corresponding to the safety evaluation latitude in all designated geographic areas at a certain preset time, the weight of the data of all the safety evaluation dimensions and the standard comparison data, and compared with the safety evaluation method in the prior art which evaluates the safety of the safety evaluation latitude in any designated geographic area according to the data of only one safety evaluation dimension, the safety of the safety evaluation latitude in a certain geographic area is evaluated by combining the data, so that the obtained safety evaluation result is relatively comprehensive, and the accuracy of the safety evaluation method is improved.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a first data processing method according to an embodiment of the present invention;
FIG. 2 is a flowchart of a second data processing method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a first data processing apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a second data processing apparatus according to an embodiment of the present invention.
[ detailed description ] of the invention
For a better understanding of the technical solution of the present invention, the following detailed description of the embodiments of the present invention refers to the accompanying drawings.
It should be understood that the described embodiments are merely some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be understood that the term "and/or" as used herein is merely one relationship describing the association of the associated objects, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
It should be understood that although the terms first, second, third, etc. may be used to describe the matrices in embodiments of the present invention, these matrices should not be limited to these terms. These terms are only used to distinguish the matrices from each other. For example, a first matrix may also be referred to as a second matrix, and similarly, a second matrix may also be referred to as a first matrix, without departing from the scope of embodiments of the present invention.
Depending on the context, the word "if" as used herein may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to detection". Similarly, the phrase "if determined" or "if detected (stated condition or event)" may be interpreted as "when determined" or "in response to determination" or "when detected (stated condition or event)" or "in response to detection (stated condition or event), depending on the context.
In order to solve the problem of low accuracy of the security assessment method in the prior art, an embodiment of the present invention provides a first data processing method, please refer to fig. 1, which is a schematic flow chart of the method provided by the embodiment of the present invention, as shown in the drawing, the method includes the following steps:
step 101, based on at least two designated geographic areas and at least one designated preset time, acquiring data of at least two security evaluation dimensions corresponding to security evaluation latitude in each geographic area at each preset time.
The geographical area may be a country, province, city, town, etc.
The at least one preset time may be at least one time or at least one time period, for example, one time may be: 1.2017, 1.1.13:00, a time period may be: or 1 st from 2017 1 st to 2018 st 1 st. If the number of the at least one preset time is at least two, the different preset times are different time instants or different time periods, and it should be noted that the time periods of the different time periods are the same, and there is no time overlap between the different time periods, for example, the two preset times may be a time period from 2015, 1, to 2016, 1, and a time period from 2017, 1, to 2017, 4, 1.
In an implementation scenario, if the preset time is a time period, a duration corresponding to the time period may be one year, one quarter or one month, and may be set according to actual requirements, which is not described herein.
The safety evaluation latitude may be an object to be evaluated, and in the embodiment of the present invention, the safety evaluation latitude may be any safety production industry, for example, a coal mine safety production industry, a metal and nonmetal mine safety production industry, a dangerous chemical safety production industry, or a firework and firecracker safety production industry.
The data of the security evaluation dimension is used for reflecting the security of the security evaluation latitude in a certain aspect. For the reader to more clearly understand what the data of the security assessment latitude is, the data of the security assessment dimension are described in four cases:
(1) If the safety evaluation latitude is the coal mine safety production industry, the data of at least two safety evaluation dimensions of the safety evaluation latitude may include: at least two of the number of major accident hazards, the number of mines, the number of deaths from coal mine accidents, the number of onset of coal mine accidents and the millions of tons of deaths from coal mine.
(2) If the safety assessment latitude is of the metal and nonmetallic mine safety production industry, the at least two safety assessment dimensional data of the safety assessment latitude may include at least two of a number of major accident potentials, a number of nonmetallic mine accidents, a number of nonmetallic mine accident deaths, and a number of nonmetallic mine accidents.
(3) If the safety assessment latitude is in the hazardous chemical safety production industry, the at least two safety assessment dimensional data for the safety assessment latitude may include at least two of a number of major accident potentials, a number of major hazard sources, a number of hazardous chemical enterprises, a number of hazardous chemical accident deaths, and a number of hazardous chemical accident origins.
(4) If the safety evaluation latitude is the firework and firecracker safety production industry, the at least two safety evaluation dimension data of the safety evaluation latitude can comprise at least two of the number of major accident potential, the number of firework and firecracker production enterprises, the death number of the firework and firecracker accident and the number of the firework and firecracker accident.
The data of any security assessment dimension is not a fixed value, and the data of each security assessment dimension of the same security assessment latitude in the same geographic area may be different at different times or time periods.
In the embodiment of the present invention, the implementation manner of step 101 may be: and receiving data of at least two security evaluation dimensions corresponding to the security evaluation latitude in each geographic area at each preset time, which are input by a user.
Step 102, obtaining the weight of the data of the at least two security evaluation dimensions corresponding to the security evaluation latitude in each geographic area at each preset time.
The weight is used for indicating the influence degree of the data of different security evaluation dimensions on the security evaluation result when evaluating the security.
In the embodiment of the present invention, the weight of the data of each security evaluation dimension may be obtained according to the entropy weight method and the data of at least two security evaluation dimensions corresponding to each preset time by executing the security evaluation latitude in each geographical area obtained in step 101.
A method for obtaining weights of at least two security assessment dimension data of a security assessment latitude in each geographical area using an entropy weight method is described below, the method comprising the steps of:
step 1021, establishing a first matrix according to data of at least two security evaluation dimensions corresponding to the security evaluation latitude in each geographic area at each preset time.
The number of rows of the first matrix is equal to the number of geographic areas, the number of columns of the first matrix is equal to the number of safety evaluation dimension data corresponding to the safety evaluation latitude at each preset time, each row of elements in the first matrix is at least two safety evaluation dimension data of the safety evaluation latitude in a certain geographic area, and each column of elements in the first matrix is the safety evaluation dimension data which represents the risk in the same aspect in different geographic areas.
The first matrix may be:
wherein x is Geographic area 1 、x Geographic area 2 、······、x Geographic region m Data representing security assessment dimensions for a security assessment latitude in geographic area 1, geographic area 2, & gtand/or geographic area m, respectively.
x 1，1 、x 1，2 、······、x 1,n The data of the safety evaluation dimension corresponding to a certain safety evaluation latitude of the geographic area 1 at each preset time can be respectively obtained; x is x 2，1 、x 2,2 、······、x 2,n The data of the safety evaluation dimension corresponding to a certain safety evaluation latitude of the geographic area 2 at each preset time can be respectively obtained; similarly, x m，1 、x m，2 、······、x m,n， The data of the security evaluation dimension corresponding to each preset time can be respectively obtained for a certain security evaluation latitude of the geographic area m. It should be noted that, the security evaluation latitude corresponding to the element of each row in the first matrix is the same security evaluation latitude.
The data of the security assessment dimension of the ith row and the jth column in the first matrix can be x i,j And (3) representing.
In order to make readers more easily understand, taking the example of evaluating the safety of coal mine safety production industries in three designated geographic areas of Anhui, beijing and Chongqing at a first preset time, how the first matrix is established according to the embodiment of the invention is described:
the data of the safety evaluation dimension of the coal mine safety production industry comprises 5 data including the number of major accident potential, the number of coal mine accidents, the number of dead people of the coal mine accidents, the number of coal mine accidents and the death rate of millions of tons of the coal mine. The first preset time is a period of from 1 st in 2017 to 30 th in 2017.
The data of the safety evaluation dimension corresponding to the first preset time in the coal mine safety production industry of the Anhui are as follows: the number of major accident potential is 1, the number of mines is 1, the number of death people of coal mine accidents is 0, the number of onset of coal mine accidents is 0, and the death rate of millions of tons of coal mine is 0. Then the data of the safety evaluation dimension corresponding to the first preset time in the coal mine safety production industry of the Anhui are respectively: 1. 1, 0.
The data of the safety evaluation dimension corresponding to the first preset time in the coal mine safety production industry of Beijing are as follows: the number of major accident potential is 1, the number of mines is 2, the number of death people of coal mine accidents is 0, the number of onset of coal mine accidents is 0, and the death rate of millions of tons of coal mine is 0. The data of the safety evaluation dimension corresponding to the first preset time in the coal mine safety production industry of Beijing are respectively: 1. 2, 0.
The data of the safety evaluation dimension corresponding to the first preset time in the Chongqing coal mine safety production industry are as follows: the number of major accident potential is 1, the number of mines is 0, the number of death people of coal mine accidents is 2, the number of onset of coal mine accidents is 1, and the death rate of millions of tons of coal mine is 0. The data of the safety evaluation dimension corresponding to the first preset time in the Chongqing coal mine safety production industry are respectively as follows: 1. 0, 2, 1, 0.
From the above, it can be seen that the number of geographical areas is 3, i.e. m=3; the number of safety evaluation dimension data corresponding to the first preset time in the coal mine safety production industry is 5, namely n=5.
The first matrix is:
step 1022, normalize the first matrix to obtain a second matrix.
Specifically, all elements in the first matrix can be respectively normalized, and a second matrix is established according to the elements obtained after normalization.
The second matrix may be:
wherein y is Geographic area 1 、y Geographic area 2 、······、y Geographic region m The data of the security evaluation dimension corresponding to a certain security evaluation latitude of the geographic area 1, the geographic area 2, & lt & gt & lt & gt and the geographic area m at a certain preset time can be respectively represented, and the data are obtained after normalization processing.
y 1，1 、y 1，2 、······、y 1,n The data obtained by normalizing at least two security assessment dimension data corresponding to a certain security assessment latitude of the geographic area 1 at each preset time can be respectively; y is 2，1 、y 2,2 、······、y 2,n The data obtained by normalizing at least two security assessment dimension data corresponding to a certain security assessment latitude of the geographic area 2 at each preset time can be respectively; similarly, y m，1 、y m，2 、······、y m,n， The data obtained by normalizing at least two security assessment dimension data corresponding to a certain security assessment latitude of the geographic area m at each preset time can be respectively obtained.
The data of the ith row and the jth column in the second matrix can be used for y i,j And (3) representing.
In the embodiment of the invention, the elements in the first matrix can be normalized according to the maximum-minimum method, the average method and the intermediate value method to obtain normalized data, namely all the elements in the second matrix. The normalization formula corresponding to the maximum and minimum value method is as follows:
y i，j security assessment dimension for ith row and jth column in a second matrixData normalized by the data.
Step 1023, according to the formulaAnd respectively processing all elements in the second matrix to obtain a third matrix.
Wherein the third matrix may be:
wherein u is Geographic area 1 、u Geographic area 2 、u Geographic region m Can respectively represent y according to the formula mentioned in step 1023 Geographic area 1 、y Geographic area 2 、······、y Geographic region m And processing the obtained data.
u 1，1 、u 1，2 、······、u 1,n Can respectively represent y according to the formula mentioned in step 1023 1，1 、y 1，2 、······、y 1,n Data obtained after processing; u (u) 2，1 、u 2，2 、······、u 2,n Can respectively represent y according to the formula mentioned in step 1023 2，1 、y 2,2 、······、y 2,n Data obtained after processing; u (u) m,1 、u m,2 、······、u m,n Can respectively represent y according to the formula mentioned in step 1023 m，1 、y m，2 、······、y m,n And processing the obtained data.
Step 1024, according to formula v i,j ＝-u i,j ×lnu i,j And processing all elements in the third matrix to obtain a fourth matrix.
The fourth matrix may be:
wherein v is Geographic area 1 、v Geographic area 2 、v Geographic region m Can be respectively represented as being mentioned in step 1024And the formula of the sum will u Geographic area 1 、u Geographic area 2 、······、u Geographic region m And processing the obtained data.
v 1，1 、v 1，2 、······、v 1,n Can respectively represent u according to the formula mentioned in step 1023 1，1 、u 1，2 、······、u 1,n Data obtained after processing; v 2，1 、v 2，2 、······、v 2,n Can respectively represent u according to the formula mentioned in step 1023 2，1 、u 2，2 、······、u 2,n Data obtained after processing; v m,1 、v m,2 、······、v m,n Can respectively represent u according to the formula mentioned in step 1023 m,1 、u m,2 、······、u m,n And processing the obtained data.
Step 1025, according to the formulaAnd processing all elements in the fourth matrix to obtain a fifth matrix.
The fifth matrix may be: [ e ] j ]＝[e 1 e 2 … e n ]。
Step 1026, according to the formulaAnd preprocessing all elements in the fifth matrix to obtain a sixth matrix.
The sixth matrix may be: w (w) j ＝[w 1 ,w 2 ,…,w n ]。
Step 1027, each column element in the sixth matrix is used as the weight of the data of all security evaluation dimensions in the corresponding columns in the first matrix.
Specifically, w is j As the weight of the data for all security assessment dimensions in the j-th column in the first matrix. Thus, the security evaluation latitude in each appointed geographic area corresponding to each preset time can be obtainedThe weight of the data for at least two security assessment dimensions.
Step 103, obtaining standard comparison data of the at least two security evaluation dimensions corresponding to any preset time in the at least one preset time by the security evaluation latitude in any one of the at least two designated geographical areas.
In any case, the standard comparison data of the data of any security evaluation dimension is 0. Wherein 0 indicates that the security assessment latitude is in an absolute security state.
In an embodiment of the present invention, the implementation manner of step 103 may be: standard comparison data input by a user is received.
Step 104, for each preset time, performing gray correlation processing according to the obtained data of at least two security evaluation dimensions corresponding to the security evaluation latitude in each geographical area at the preset time, the weight and the standard comparison data, and obtaining the correlation corresponding to the security evaluation latitude in each geographical area as a security evaluation result of the security evaluation latitude in each geographical area at the preset time.
The method of implementing step 104 is described in detail below, and includes the steps of:
step 1041, establishing a seventh matrix according to the data of at least two security evaluation dimensions corresponding to the security evaluation latitude in each geographic area at any preset time and the standard comparison data of the at least two security evaluation dimensions.
The seventh matrix is formed by the first matrix and the standard comparison data obtained by executing step 103, and element 0 is added to each element in the first row of the first matrix, so that the seventh matrix is formed.
The number of rows of the seventh matrix is equal to the number of geographic areas +1, the number of columns of the seventh matrix is equal to the number of data of at least two security assessment dimensions, the first row elements of the seventh matrix are the standard comparison data obtained by executing step 103, and the elements of the other rows in the matrix are all the elements in the first matrix. Each row of elements in the matrix is safety evaluation dimension data of safety evaluation latitude in a certain geographic area except for the first row of elements, and each column of elements in the matrix is safety evaluation dimension data which represents risk in the same aspect in different geographic areas.
Wherein the seventh matrix may be:
wherein X is Standard of The data is compared for the security assessment dimension standard of the security assessment latitude acquired by executing step 103.
X Geographic area 1 、X Geographic area 2 、······、X Geographic region m Can be expressed as geographical area 1, geographical area 2, & ltS & gtS & lt/S & gt data of at least two security assessment dimensions corresponding to a certain security assessment latitude in a geographic area m at a certain preset time.
X 1，1、 X 1，2 、······、X 1,n Data of at least two security evaluation dimensions corresponding to a certain security evaluation latitude in the geographic area 1 at a certain preset time can be respectively represented; x is X 2，1 、X 2,2 、······、X 2,n Data of at least two security evaluation dimensions corresponding to a certain security evaluation latitude in the geographic area 2 at a certain preset time can be respectively represented; similarly, X m，1 、X m，2 、······、X m,n， Data of at least two security assessment dimensions corresponding to a certain security assessment latitude in the geographic area m at a certain preset time can be represented respectively.
The security assessment dimension data of the ith row and the jth column in the seventh matrix can be used for X i,j And (3) representing.
Step 1042, dimensionless transforming all elements in the seventh matrix to obtain an eighth matrix.
Wherein the dimensionless formula isThe seventh matrix is dimensionless according to the formula, and the eighth matrix is obtained as follows:
Step 1043, according to formula C i,j ＝|Y i,j -Y 0,j And I, processing all elements in the eighth matrix to obtain a ninth matrix.
Wherein i is 1 or more.
According to formula C i,j ＝|Y i,j -Y 0,j Processing all elements in the eighth matrix, and obtaining a ninth matrix:
step 1044, according to the formulaAnd processing all elements in the ninth matrix to obtain a tenth matrix.
In general, the smaller the value of ρ is, the more the difference between the correlation coefficients can be improved, and the coefficient can be 0.5 in model calculation.
All elements in the ninth matrix are processed according to the formula mentioned in step 1044, and the tenth matrix obtained may be:
step 1045, according to the formulaAnd processing all elements in the tenth matrix to obtain an eleventh matrix.
Wherein the eleventh matrix may be:
the element of any row in the eleventh matrix is a degree of association corresponding to the security evaluation latitude in the geographic area corresponding to the row element, and the degree of association can be used as a security evaluation result of the security evaluation latitude in the geographic area corresponding to the degree of association at the preset time. The value range of the association degree is 0-1, wherein the closer the association degree is to 1, the higher the safety is, and the lower the safety is on the contrary.
The execution order of steps 101 to 103 may be interchanged, as long as it is ensured that step 102 is executed after step 101.
If the number of the at least one preset time is at least two, after the security evaluation results of the same security evaluation latitude in different geographical areas in the at least one preset time are obtained through the data processing method, the security evaluation results of the security evaluation latitude in the geographical areas in each preset time can be ranked for each geographical area, and the ranking results are obtained to serve as security trend evaluation results of the security evaluation latitude in the geographical area.
According to the first data processing method provided by the embodiment of the invention, based on at least two designated geographic areas and at least one designated preset time, data of at least two safety evaluation dimensions corresponding to each preset time are obtained for the safety evaluation latitude in each geographic area, the weight of the data of the at least two safety evaluation dimensions corresponding to each preset time is obtained for the safety evaluation latitude in each geographic area, the association degree corresponding to the safety evaluation latitude in each geographic area is obtained as the safety evaluation result of the safety evaluation latitude in each geographic area in any preset time. In the embodiment of the invention, the safety of the safety evaluation latitude in any designated geographic area is evaluated according to the data of at least two safety evaluation dimensions corresponding to the safety evaluation latitude in all designated geographic areas at a certain preset time, the weight of the data of all the safety evaluation dimensions and the standard comparison data, and compared with the safety evaluation method in the prior art which evaluates the safety of the safety evaluation latitude in any designated geographic area according to the data of only one safety evaluation dimension, the safety of the safety evaluation latitude in a certain geographic area is evaluated by combining the data, so that the obtained safety evaluation result is relatively comprehensive, and the accuracy of the safety evaluation method is improved.
In addition, in order to solve the problem that in the prior art, there is no method for obtaining comprehensive security evaluation results corresponding to different geographical areas at a certain preset time, a second data processing method provided in an embodiment of the present invention is a flow chart of the data processing method, and fig. 2 may be referred to in the flow chart of the data processing method, where the method includes the following steps:
step 201, based on the specified at least two geographical areas and the specified at least one preset time, obtaining a security evaluation result of each security evaluation latitude of the at least two security evaluation latitudes in each geographical area at each preset time.
The safety evaluation latitude can comprise a coal mine safety production industry, a metal and nonmetal mine safety production industry, a dangerous chemical safety production industry and a firework and firecracker safety production industry.
Specifically, based on the specified at least two geographic areas and the specified at least one preset time, acquiring data of at least two security evaluation dimensions corresponding to each security evaluation latitude in each geographic area at each preset time, acquiring weights of the data of at least two security evaluation dimensions corresponding to each security evaluation latitude in each geographic area at each preset time, acquiring standard comparison data of the data of at least two security evaluation dimensions corresponding to each security evaluation latitude in at least one preset time in any one of the specified at least two geographic areas, and performing gray correlation processing according to the acquired data of at least two security evaluation dimensions corresponding to the security evaluation latitude in each geographic area at the preset time, the weights and the standard comparison data, so as to acquire the correlation corresponding to the security evaluation latitude in each geographic area as a security evaluation result of the security evaluation latitude in each geographic area at any preset time.
The method for obtaining the data of at least two security evaluation dimensions corresponding to each security evaluation latitude in each preset time in each geographic area, the method for obtaining the weight of the data of at least two security evaluation dimensions corresponding to each security evaluation latitude in each preset time in each geographic area, the method for obtaining the standard comparison data of the data of at least two security evaluation dimensions corresponding to each security evaluation latitude in any preset time in any specified at least two geographic areas, and the method for obtaining the correlation degree may refer to the obtaining methods in steps 101 to 104, and are not repeated herein.
Step 202, obtaining a weight corresponding to each security evaluation latitude in the at least two security evaluation latitudes in each geographic area at each preset time.
In the embodiment of the present invention, how to acquire the weight corresponding to any one of at least two security evaluation latitudes in any one of at least two designated geographical areas at any one of at least one preset time is described below:
1. And acquiring data of at least two specified security evaluation dimensions corresponding to each security evaluation latitude in each of at least two specified geographical areas at each preset time.
Wherein the data of the at least two specified security assessment dimensions may comprise at least two of a larger incident onset, a significant incident onset, and a particularly significant incident onset.
2. And adding and calculating the acquired data of at least two specified security evaluation dimensions corresponding to any preset time in each preset time for each security evaluation latitude in each geographic area to obtain a first value.
3. And adding and calculating the obtained data of at least two specified security evaluation dimensions corresponding to any preset time in any security evaluation latitude in any one of the geographical areas to obtain a second value.
4. And dividing the second value by the first value to obtain a third value, wherein the third value is used as the weight corresponding to any one of the safety evaluation latitudes in any one of the geographic areas at any one of the preset times.
In the embodiment of the invention, the weight corresponding to each security evaluation latitude in at least two security evaluation latitudes in each geographic area at each preset time can be obtained according to the method.
It should be noted that the same security evaluation latitude in different geographic areas has the same weight.
Step 203, obtaining standard result comparison data corresponding to the security evaluation result of each security evaluation latitude in the at least two security evaluation latitudes in any preset time in the at least one preset time in any one of the specified at least two geographical areas.
The standard result comparison data may be 1 to indicate that the security state of the security assessment latitude is an absolute security state.
Step 204, for each preset time, according to the obtained security evaluation result of each security evaluation latitude in the at least two security evaluation latitudes in each geographic area at the preset time, the weight and the standard result comparison data, obtaining the corresponding association degree of each geographic area as the comprehensive security evaluation result of each geographic area at the preset time.
The value range of the comprehensive safety evaluation result is 0-1, the closer the result is to 1, the higher the safety is, and the lower the safety is on the contrary.
Specifically, when obtaining the comprehensive security evaluation result of the geographic area at a certain preset time, the above-mentioned method for obtaining the security evaluation result of the security evaluation latitude in the geographic area at a certain preset time may refer to any relevance finally obtained as the comprehensive security evaluation result of the geographic area corresponding to the relevance, where the difference is that:
(1) X when establishing the seventh matrix Standard of The data is compared for the standard results obtained by performing step 203.
(2) According to the formulaProcessing all elements in the tenth matrix to obtain an eleventh matrix, and substituting w in the formula j Is the weight obtained by executing step 202.
It should be noted that the execution order of steps 201, 202, and 203 may be interchanged.
If the number of the at least one preset time is at least two, after the comprehensive security evaluation result of each security evaluation latitude in the at least two specified geographical areas at each preset time is obtained according to the steps 201 to 204, the obtained comprehensive security evaluation results of the geographical areas at each preset time can be further ranked for each geographical area, and the ranked results are obtained to serve as the comprehensive security trend evaluation results of the geographical areas.
In the prior art, only a method for evaluating the security of the security evaluation latitude exists, and no method for evaluating the security of the geographic area exists. In the embodiment of the invention, based on at least two designated geographic areas and at least one designated preset time, the security evaluation result of each security evaluation latitude in at least two security evaluation latitudes in each geographic area at each preset time is obtained, the weight corresponding to each security evaluation latitude in the at least two security evaluation latitudes in each geographic area at each preset time is obtained, the weight corresponding to each security evaluation latitude in any one of the at least two designated geographic areas is obtained, the standard result comparison data corresponding to the security evaluation result of each security evaluation latitude in any one of the at least one preset time in the at least two designated geographic areas is obtained, and for each preset time, the relevance corresponding to each geographic area is obtained according to the obtained security evaluation result, the weight and the standard result comparison data in the at least two security evaluation latitudes in the each geographic area, so that the security evaluation result in the geographic area can be comprehensively obtained by different geographic areas according to different comprehensive security evaluation methods, and the security management methods can be comprehensively carried out in different geographic areas according to different security evaluation areas, and the geographic areas.
Based on the same inventive concept as the first data processing method, an embodiment of the present invention further provides a first data processing apparatus, a schematic structural diagram of which may be seen in fig. 3, including:
an obtaining module 31, configured to obtain, based on the specified at least two geographic areas and the specified at least one preset time, data of at least two security evaluation dimensions corresponding to the security evaluation latitude in each geographic area at each preset time;
the acquiring module 31 is further configured to acquire weights of data of the at least two security evaluation dimensions corresponding to the security evaluation latitude in each geographic area at each preset time;
the obtaining module 31 is further configured to obtain standard comparison data of the at least two security evaluation dimensions corresponding to the security evaluation latitude in any one of the specified at least two geographical areas at any one of the at least one preset time;
the processing module 32 is configured to perform gray correlation processing according to the obtained data of at least two security evaluation dimensions corresponding to the security evaluation latitude in each geographical area at the preset time, the obtained weight of the data of the at least two security evaluation dimensions corresponding to the security evaluation latitude in each geographical area at the preset time, and the standard comparison data, and obtain the correlation corresponding to the security evaluation latitude in each geographical area as a security evaluation result of the security evaluation latitude in each geographical area at the preset time.
In one embodiment, if the number of the at least one preset time is at least two, the apparatus further includes:
the ranking module is used for ranking the security evaluation results of the security evaluation latitudes in the geographical areas at each preset time aiming at each geographical area, and obtaining ranking results to serve as security trend evaluation results of the security evaluation latitudes in the geographical areas.
According to the first data processing device provided by the embodiment of the invention, based on at least two designated geographic areas and at least one designated preset time, data of at least two security evaluation dimensions corresponding to each preset time are obtained for each geographic area, weights of the data of the at least two security evaluation dimensions corresponding to each preset time are obtained for the security evaluation latitude in each geographic area, weights of the data of the security evaluation dimensions corresponding to each preset time are obtained, standard comparison data of the at least two security evaluation dimensions corresponding to any preset time in any one of the designated at least two geographic areas are obtained, and the grey degree is used as a security evaluation result in the security evaluation latitude in each preset time in a correlation mode. In the embodiment of the invention, the safety of the safety evaluation latitude in any designated geographic area is evaluated according to the data of at least two safety evaluation dimensions corresponding to the safety evaluation latitude in all designated geographic areas at a certain preset time, the weight of the data of all the safety evaluation dimensions and the standard comparison data, and compared with the safety evaluation method in the prior art which evaluates the safety of the safety evaluation latitude in any designated geographic area according to the data of only one safety evaluation dimension, the safety of the safety evaluation latitude in a certain geographic area is evaluated by combining the data, so that the obtained safety evaluation result is relatively comprehensive, and the accuracy of the safety evaluation method is improved.
In addition, based on the same inventive concept as the second data processing method, an embodiment of the present invention further provides a second data processing apparatus, and a schematic structural diagram of the apparatus may be seen in fig. 4, where the apparatus includes:
an obtaining module 41, configured to obtain a security evaluation result of each of the at least two security evaluation latitudes in each geographical area at each preset time based on the specified at least two geographical areas and the specified at least one preset time;
the obtaining module 41 is further configured to obtain a weight corresponding to each security evaluation latitude of the at least two security evaluation latitudes in each geographic area at each preset time;
the obtaining module 41 is further configured to obtain standard result comparison data corresponding to a security evaluation result of each of the at least two security evaluation latitudes in any one of the at least one preset time in any one of the specified at least two geographical areas;
the processing module 42 is configured to obtain, for each preset time, a correlation corresponding to each geographical area according to the obtained security evaluation result of each security evaluation latitude in the preset time, the weight and the standard result comparison data, where the correlation is used as a comprehensive security evaluation result of each geographical area in the preset time.
In one embodiment, if the number of the at least one preset time is at least two, the apparatus further includes:
the sequencing module is used for sequencing the obtained comprehensive safety evaluation results of the geographic areas at each preset time aiming at each geographic area, and obtaining sequencing results to serve as comprehensive safety trend evaluation results of the geographic areas.
In one embodiment, the obtaining module 41 is specifically configured to:
acquiring data of at least two security evaluation dimensions corresponding to each security evaluation latitude in each geographical area at each preset time based on the designated at least two geographical areas and the designated at least one preset time;
acquiring the weight of the data of the at least two security evaluation dimensions corresponding to each security evaluation latitude in each geographic area at each preset time;
acquiring standard comparison data of the at least two security evaluation dimensions corresponding to any preset time in the at least one preset time for each of the at least two security evaluation latitudes in any one of the specified at least two geographical areas;
The processing module 42 is further configured to:
and aiming at each safety evaluation latitude and each preset time, carrying out gray correlation processing according to the obtained data of at least two safety evaluation dimensions corresponding to the safety evaluation latitude in each geographic area at the preset time, the weight and the standard comparison data, and obtaining the correlation corresponding to the safety evaluation latitude in each geographic area as a safety evaluation result of the safety evaluation latitude in each geographic area at the preset time.
In one embodiment, the safety assessment latitude includes a coal mine safety production industry, a metal and nonmetal mine safety production industry, a hazardous chemical safety production industry, and a firework safety production industry.
In the prior art, only a method for evaluating the security of the security evaluation latitude exists, and no method for evaluating the security of the geographic area exists. In the embodiment of the invention, based on at least two designated geographic areas and at least one designated preset time, the security evaluation result of each security evaluation latitude in at least two security evaluation latitudes in each geographic area at each preset time is obtained, the weight corresponding to each security evaluation latitude in the at least two security evaluation latitudes in each geographic area at each preset time is obtained, the weight corresponding to each security evaluation latitude in any one of the at least two designated geographic areas is obtained, the standard result comparison data corresponding to the security evaluation result of each security evaluation latitude in any one of the at least one preset time in the at least two designated geographic areas is obtained, and for each preset time, the relevance corresponding to each geographic area is obtained according to the obtained security evaluation result, the weight and the standard result comparison data in the at least two security evaluation latitudes in the each geographic area, so that the security evaluation result in the geographic area can be comprehensively obtained by different geographic areas according to different comprehensive security evaluation methods, and the security management methods can be comprehensively carried out in different geographic areas according to different security evaluation areas, and the geographic areas.
It should be noted that, the execution bodies of the first data processing method and the second data processing method provided in the embodiments of the present invention may be an evaluation device, and the device may be an application located in a local terminal, or may also be a functional unit such as a plug-in unit or a software development kit (Software Development Kit, SDK) located in an application of the local terminal, which is not particularly limited in the embodiments of the present invention.
It will be appreciated that the application may be an application program (native app) installed on the terminal, or may also be a web page program (webApp) of a browser on the terminal, which is not limited by the embodiment of the present invention.
Such terminals may include, but are not limited to, personal computers (Personal Computer, PCs), personal digital assistants (Personal Digital Assistant, PDAs), wireless handsets, tablet computers (Tablet computers), cell phones, MP3 players, MP4 players, and the like.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in the present invention, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the elements is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
The integrated units implemented in the form of software functional units described above may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a Processor (Processor) to perform part of the steps of the method device according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather to enable any modification, equivalent replacement, improvement or the like to be made within the spirit and principles of the invention.

Claims (10)

1. A method of data processing, the method comprising:
acquiring data of at least two security evaluation dimensions corresponding to the security evaluation latitude in each geographical area at each preset time based on the designated at least two geographical areas and the designated at least one preset time;
acquiring the weight of the data of the at least two security evaluation dimensions corresponding to the security evaluation latitude in each geographic area at each preset time;
acquiring standard comparison data of the at least two security evaluation dimensions corresponding to any preset time in the at least one preset time of the security evaluation latitude in any one of the specified at least two geographical areas;
for each preset time, gray association processing is carried out according to the obtained data of at least two security evaluation dimensions corresponding to the security evaluation latitude in each geographic area at the preset time, the weight and the standard comparison data, and association degrees corresponding to the security evaluation latitude in each geographic area are obtained to serve as security evaluation results of the security evaluation latitude in each geographic area at the preset time;
The step of obtaining the weight of the data of the at least two security evaluation dimensions corresponding to the security evaluation latitude in each geographic area at each preset time includes:
according to the entropy weight method, acquiring the weight of the data of each security assessment dimension by acquiring the data of at least two security assessment dimensions corresponding to the security assessment latitude in each geographic area at each preset time;
the method further comprises the steps of: for each geographic area, sequencing the security evaluation results of the security evaluation latitudes in the geographic area at each preset time to obtain sequencing results, and taking the sequencing results as security trend evaluation results of the security evaluation latitudes in the geographic area;
the method further comprises the steps of: for each preset time, determining a comprehensive safety evaluation result of the geographic area at the preset time according to the safety evaluation results of at least two safety evaluation latitudes in each geographic area at the preset time;
the security assessment dimension is an object to be assessed, and the security assessment latitude at least comprises one or more of the following combinations: coal mine safety production industry, metal and nonmetal mine safety production industry, dangerous chemical safety production industry and firework safety production industry.
2. A method of data processing, the method comprising:
acquiring a security evaluation result of each security evaluation latitude in at least two security evaluation latitudes in each geographical area at each preset time based on the designated at least two geographical areas and the designated at least one preset time;
acquiring a weight corresponding to each security evaluation latitude in the at least two security evaluation latitudes in each geographic area at each preset time;
acquiring standard result comparison data corresponding to the security evaluation result of each security evaluation latitude in the at least two security evaluation latitudes in any preset time in the at least one preset time in any one of the specified at least two geographical areas;
aiming at each preset time, according to the obtained safety evaluation result of each safety evaluation latitude in the preset time, the weight and the standard result comparison data, the association degree corresponding to each geographic area is obtained to serve as the comprehensive safety evaluation result of each geographic area in the preset time;
The step of obtaining the weight corresponding to each security evaluation latitude in the at least two security evaluation latitudes in each geographic area at each preset time includes:
acquiring data of at least two specified security evaluation dimensions corresponding to each security evaluation latitude in each preset time in each of at least two specified security evaluation latitudes of each geographic region;
adding and calculating the acquired data of at least two specified security evaluation dimensions corresponding to any preset time in each preset time of each security evaluation latitude in each geographic area to obtain a first value;
adding and calculating the obtained data of at least two specified security evaluation dimensions corresponding to any preset time in any security evaluation latitude in any one of the geographical areas to obtain a second value;
dividing the second value by the first value to obtain a third value, wherein the third value is used as a weight corresponding to any one of the safety evaluation latitudes in any one of the geographic areas at any one of the preset times;
the security assessment dimension is an object to be assessed, and the security assessment latitude at least comprises one or more of the following combinations: coal mine safety production industry, metal and nonmetal mine safety production industry, dangerous chemical safety production industry and firework safety production industry.
3. The method of claim 2, wherein if the number of the at least one preset time is at least two, the method further comprises:
and sequencing the obtained comprehensive safety evaluation results of the geographic areas at each preset time aiming at each geographic area to obtain sequencing results serving as comprehensive safety trend evaluation results of the geographic areas.
4. A method according to claim 2 or 3, wherein obtaining a security assessment result for each of the at least two security assessment latitudes in each geographical area at each preset time based on the specified at least two geographical areas and the specified at least one preset time comprises:
acquiring data of at least two security evaluation dimensions corresponding to each security evaluation latitude in each geographical area at each preset time based on the designated at least two geographical areas and the designated at least one preset time;
acquiring the weight of the data of the at least two security evaluation dimensions corresponding to each security evaluation latitude in each geographic area at each preset time;
acquiring standard comparison data of the at least two security evaluation dimensions corresponding to any preset time in the at least one preset time for each of the at least two security evaluation latitudes in any one of the specified at least two geographical areas;
And aiming at each safety evaluation latitude and each preset time, carrying out gray correlation processing according to the obtained data of at least two safety evaluation dimensions corresponding to the safety evaluation latitude in each geographic area at the preset time, the weight and the standard comparison data, and obtaining the correlation corresponding to the safety evaluation latitude in each geographic area as a safety evaluation result of the safety evaluation latitude in each geographic area at the preset time.
5. The method of claim 4, wherein the safety assessment latitude comprises a coal mine safety production industry, a metal and nonmetal mine safety production industry, a hazardous chemical safety production industry, and a firework and firecracker safety production industry.
6. A data processing apparatus, the apparatus comprising:
the acquisition module is used for acquiring data of at least two security evaluation dimensions corresponding to the security evaluation latitude in each geographical area at each preset time based on the at least two designated geographical areas and the at least one preset time;
the acquiring module is further configured to acquire weights of data of the at least two security evaluation dimensions corresponding to the security evaluation latitude in each geographic area at each preset time;
The acquiring module is further configured to acquire standard comparison data of the at least two security evaluation dimensions corresponding to the security evaluation latitude in any one of the specified at least two geographical areas at any one of the at least one preset time;
the processing module is used for carrying out gray association processing according to the acquired data of at least two security evaluation dimensions corresponding to the security evaluation latitude in each geographic area at the preset time, the weight and the standard comparison data for each preset time, and acquiring association corresponding to the security evaluation latitude in each geographic area as a security evaluation result of the security evaluation latitude in each geographic area at the preset time;
the acquiring module is configured to acquire weights of the data of the at least two security evaluation dimensions corresponding to the security evaluation latitude in each geographic area at each preset time, and specifically includes:
according to the entropy weight method, acquiring the weight of the data of each security assessment dimension by acquiring the data of at least two security assessment dimensions corresponding to the security assessment latitude in each geographic area at each preset time;
The apparatus further comprises: the ranking module is used for ranking the security evaluation results of the security evaluation latitudes in each geographic area at each preset time aiming at each geographic area, and acquiring ranking results to serve as security trend evaluation results of the security evaluation latitudes in the geographic area;
the processing module is further configured to determine, for each preset time, a comprehensive security evaluation result of the geographic area at the preset time according to the security evaluation results of at least two security evaluation latitudes in each geographic area at the preset time;
the security assessment dimension is an object to be assessed, and the security assessment latitude at least comprises one or more of the following combinations: coal mine safety production industry, metal and nonmetal mine safety production industry, dangerous chemical safety production industry and firework safety production industry.
7. A data processing apparatus, the apparatus comprising:
the acquisition module is used for acquiring a safety evaluation result of each safety evaluation latitude in at least two safety evaluation latitudes in each geographic area at each preset time based on the designated at least two geographic areas and the designated at least one preset time;
The acquiring module is further configured to acquire a weight corresponding to each security evaluation latitude in the at least two security evaluation latitudes in each geographic area at each preset time;
the acquiring module is further configured to acquire standard result comparison data corresponding to a security evaluation result of each of the at least two security evaluation latitudes in any one of the at least one preset time in any one of the specified at least two geographical areas;
the processing module is used for acquiring the association degree corresponding to each geographic area as the comprehensive safety evaluation result of each geographic area at the preset time according to the acquired safety evaluation result of each safety evaluation latitude in the preset time, the weight and the standard result comparison data of each safety evaluation latitude in the at least two geographic areas;
the acquiring module is configured to acquire a weight corresponding to each security evaluation latitude in the at least two security evaluation latitudes in each geographic area at each preset time, and specifically includes:
Acquiring data of at least two specified security evaluation dimensions corresponding to each security evaluation latitude in each preset time in each of at least two specified security evaluation latitudes of each geographic region;
adding and calculating the acquired data of at least two specified security evaluation dimensions corresponding to any preset time in each preset time of each security evaluation latitude in each geographic area to obtain a first value;
adding and calculating the obtained data of at least two specified security evaluation dimensions corresponding to any preset time in any security evaluation latitude in any one of the geographical areas to obtain a second value;
dividing the second value by the first value to obtain a third value, wherein the third value is used as a weight corresponding to any one of the safety evaluation latitudes in any one of the geographic areas at any one of the preset times;
the security assessment dimension is an object to be assessed, and the security assessment latitude at least comprises one or more of the following combinations: coal mine safety production industry, metal and nonmetal mine safety production industry, dangerous chemical safety production industry and firework safety production industry.
8. The apparatus of claim 7, wherein if the at least one preset time is at least two in number, the apparatus further comprises:
the sequencing module is used for sequencing the obtained comprehensive safety evaluation results of the geographic areas at each preset time aiming at each geographic area, and obtaining sequencing results to serve as comprehensive safety trend evaluation results of the geographic areas.
9. The apparatus according to claim 7 or 8, wherein the acquisition module is specifically configured to:
acquiring data of at least two security evaluation dimensions corresponding to each security evaluation latitude in each geographical area at each preset time based on the designated at least two geographical areas and the designated at least one preset time;
acquiring the weight of the data of the at least two security evaluation dimensions corresponding to each security evaluation latitude in each geographic area at each preset time;
acquiring standard comparison data of the at least two security evaluation dimensions corresponding to any preset time in the at least one preset time for each of the at least two security evaluation latitudes in any one of the specified at least two geographical areas;
The processing module is further configured to:
and aiming at each safety evaluation latitude and each preset time, carrying out gray correlation processing according to the obtained data of at least two safety evaluation dimensions corresponding to the safety evaluation latitude in each geographic area at the preset time, the weight and the standard comparison data, and obtaining the correlation corresponding to the safety evaluation latitude in each geographic area as a safety evaluation result of the safety evaluation latitude in each geographic area at the preset time.
10. The apparatus of claim 9, wherein the safety assessment latitude comprises a coal mine safety production industry, a metal and nonmetal mine safety production industry, a hazardous chemical safety production industry, and a firework and firecracker safety production industry.
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