CN115883779A - Smart park information safety management system based on big data - Google Patents
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Abstract
The invention discloses an intelligent park information safety management system based on big data. The intelligent park information safety management system based on big data comprises a park energy consumption information acquisition module, a park fire-fighting information monitoring module, a park personnel information monitoring module, a park safety information analysis and processing module and a database; according to the intelligent park safety management system, the safety of the intelligent park is managed through three-dimensional information of park energy consumption information, fire fighting information and personnel information, the multi-dimensional management of the park safety is realized, the problem that hidden dangers of the intelligent park in the actual operation process cannot be intuitively reflected in the current technology is effectively solved, risks of the intelligent park in the actual operation process are greatly avoided, powerful guarantee is provided for the stable operation of the park, the safety management intensity and the safety management effect of the intelligent park are greatly improved, and meanwhile the subsequent maintenance cost and the economic loss of the intelligent park are greatly reduced.
Description
Technical Field
The invention belongs to the technical field of information security management, and relates to an intelligent park information security management system based on big data.
Background
In recent years, along with the rapid development of science and technology and internet of things technology, more and more fresh elements are also merged into the urbanization development, a 'smart park' which is a new vocabulary should be born, and the smart park becomes an important means for developing and operating the park through the characteristics of information intercommunication, flow intercommunication, service intercommunication, software and hardware intercommunication and the like, so that under the background, the management of information safety of the park is self-evident;
the information security management of the smart park at present mainly focuses on managing the network information security of the smart park, such as information encryption in the smart park, visitor identity verification and the like, but the smart park is taken as an integrated park management mode, and the data generated in the operation process are various, such as park security data, energy consumption data and the like, and the data can visually display the security state of the park, so that the current technology has certain disadvantages; on one hand, because the public area equipment in the park is high in use frequency and high in damage probability, the energy consumption of the equipment, the internal line state of the equipment and the like are not analyzed at present, the development trend characteristics of the running state of the public area equipment in the park cannot be effectively reflected, the timeliness of abnormal equipment maintenance cannot be improved, and the maintenance cost of subsequent equipment cannot be reduced; on the other hand, personnel management in the park focuses on management work all the time, and visitors in a current management mode are managed, so that certain limitation exists, and the management efficiency and the management effect of the park safety cannot be improved.
Disclosure of Invention
In view of the above, to solve the problems in the background art, an intelligent park information security management system based on big data is proposed;
the purpose of the invention can be realized by the following technical scheme:
the invention provides a big data-based intelligent park information security management system, which comprises:
the park energy consumption information acquisition module is used for positioning numbers corresponding to the various buildings from the information of the buildings corresponding to the intelligent park, and further extracting elevator power consumption and illumination power consumption corresponding to the various buildings in a preset acquisition period from the park energy consumption monitoring platform;
the system comprises a campus fire information monitoring module, a monitoring module and a monitoring module, wherein the campus fire information monitoring module is used for positioning the layout area position corresponding to each equipment monitoring point and the layout area position corresponding to each security monitoring point from the layout monitoring information corresponding to the smart campus, dividing the smart campus into an equipment monitoring area and a security monitoring area, and monitoring the fire information corresponding to the equipment monitoring area and the security monitoring area;
the system comprises a campus personnel information monitoring module, a monitoring module and a monitoring module, wherein the campus personnel information monitoring module is used for carrying out image acquisition on personnel in each security monitoring point through a camera in the layout region position of each security monitoring point according to a preset acquisition time period based on the layout region position corresponding to each security monitoring point in the security monitoring region of the smart campus, so as to obtain each acquired personnel image corresponding to each security monitoring point in the preset acquisition time period;
the system comprises a park safety information analyzing and processing module, a monitoring module and a monitoring module, wherein the park safety information analyzing and processing module is used for analyzing the energy consumption safety and the security safety corresponding to the intelligent park, outputting the energy consumption state and the security state corresponding to the intelligent park, and performing display and early warning;
and the database is used for storing the building layout information and the monitoring layout information corresponding to the intelligent park, storing the unit time rated power consumption corresponding to the elevator and the unit time rated power consumption corresponding to the lighting lamp, and storing the set burning point corresponding to each type of stacked articles.
Preferably, the number of the laid buildings is the number of the laid buildings, the number of the laid elevators and the number of the laid lighting lamps corresponding to each laid building; the layout monitoring information comprises the number of the laid equipment monitoring points, the number of the security monitoring points, the layout region position corresponding to each equipment monitoring point and the layout region position corresponding to each security monitoring point.
Preferably, the fire fighting information corresponding to the equipment monitoring area and the security monitoring area is monitored, and the specific monitoring process comprises the following steps:
s1, dividing an equipment monitoring area into equipment monitoring sub-areas based on the layout area position corresponding to each equipment monitoring point, numbering the equipment monitoring sub-areas as 1,2, a.
S1-1, starting a monitoring camera in each equipment monitoring subregion to acquire images of equipment in each equipment monitoring subregion, and identifying the number of corresponding wire contacts in the equipment from the acquired images;
s1-2, taking each electric wire contact corresponding to the inside of equipment in each equipment monitoring sub-area as a temperature measuring point, and carrying out temperature acquisition on each temperature measuring point through an infrared temperature measuring instrument to obtain the temperature corresponding to each temperature measuring point in the inside of the equipment in each equipment monitoring sub-area;
s1-3, extracting a profile corresponding to a defect area in each wire in the equipment from an acquired equipment image corresponding to each equipment monitoring sub-area, and taking the temperature corresponding to each temperature measuring point in the equipment and the defect area corresponding to each wire in the equipment as fire fighting information of the equipment monitoring area as corresponding equipment hidden danger information in each equipment monitoring sub-area based on the defect area corresponding to each wire in the equipment monitoring sub-area;
s2, dividing the security monitoring area into security monitoring sub-areas based on the layout area position corresponding to each security monitoring area, numbering the security monitoring sub-areas according to a preset sequence, sequentially marking the number as 1,2,. Mu,. V, collecting images corresponding to the security monitoring sub-areas, and taking the images corresponding to the security monitoring sub-areas as fire protection information corresponding to the security monitoring area.
Preferably, the park safety information analyzing and processing module comprises an area energy consumption safety analyzing unit and an area security analyzing unit.
Preferably, the regional energy consumption safety analysis unit is configured to analyze energy consumption safety corresponding to each building in the smart park, and the specific analysis process is as follows:
positioning the number of elevators and lighting lamps in the layout corresponding to each layout building from the information of the layout buildings corresponding to the intelligent park, extracting the unit time rated power consumption corresponding to the elevators and the unit time rated power consumption corresponding to the lighting lamps from the database, and calculating the elevator rated power consumption and the lighting lamp rated power consumption corresponding to each layout building in a preset acquisition period;
obtaining the power consumption of the elevator and the lighting power consumption corresponding to each building in the intelligent park in a preset acquisition period, and calculating the energy consumption safety assessment index corresponding to each building by using a calculation formula, wherein the calculation formula is
δ r Expressed as the energy consumption safety evaluation index, D, corresponding to the r-th layout building r ,Z r The power consumption, the illumination power and the D of the elevator corresponding to the r-th layout building in the preset acquisition period are represented rated r ,Z rated r The system comprises a power supply controller, a power supply controller and a power supply controller, wherein the power supply controller is used for indicating the rated power consumption of an elevator and the rated power consumption of an illumination lamp corresponding to an r-th building in a preset acquisition period, epsilon 1 and epsilon 2 are respectively indicated as an elevator power consumption correction coefficient and an illumination lamp power consumption correction coefficient, r is indicated as a building number corresponding to each building, and r =1,2.
Preferably, the regional security analysis unit is used for analyzing the fire safety corresponding to the intelligent park, and the specific analysis process is as follows:
positioning the temperature corresponding to each temperature measuring point in the equipment in each equipment monitoring sub-area and the defect area corresponding to each electric wire in the equipment from the fire fighting information corresponding to the equipment monitoring area, calculating by using a calculation formula to obtain an equipment fire fighting safety evaluation index corresponding to each equipment monitoring sub-area, and recording as phi x X represents a number corresponding to each device monitoring sub-area, and x =1,2,... Eta.t;
locating the image corresponding to each security monitoring subregion from the fire information corresponding to the security monitoring region, matching and comparing the image corresponding to each security monitoring subregion with the set fire characteristic image, analyzing the fire safety corresponding to each security monitoring subregion based on the matching result, and obtaining the fire safety evaluation index corresponding to each security monitoring subregion, wherein the analysis process comprises the following steps:
f1, if the image corresponding to a certain security monitoring subregion is successfully matched with the set fire characteristic image, positioning a fire area outline from the image corresponding to the security monitoring subregion so as to obtain the fire area, and calculating a fire safety evaluation index corresponding to the security monitoring subregion and recording the fire safety evaluation index as eta;
f2, if the matching of the image corresponding to a certain security monitoring subregion and the set fire characteristic image fails, locating the area corresponding to the security monitoring subregion, the type of stacked articles corresponding to the security monitoring subregion and the stacking area corresponding to each type of stacked articles from the image corresponding to the security monitoring subregion;
f3, based on the stacked article types corresponding to the security monitoring sub-regions, locating set ignition points corresponding to the stacked articles in the security monitoring sub-regions from the database, calculating fire safety assessment indexes corresponding to the security monitoring sub-regions by using a calculation formula, and recording the fire safety assessment indexes as beta, so as to obtain the fire safety assessment indexes of the articles corresponding to the security monitoring sub-regions
Eta is more than beta, u is expressed as the number corresponding to each security monitoring sub-region，u＝1,2，......v。
Preferably, the fire safety assessment index of the equipment corresponding to each equipment monitoring sub-area is
Wherein, mu 1 and mu 2 respectively represent the safety influence weight corresponding to the temperature of the equipment and the damage of the equipment, T xp Represents the temperature corresponding to the pth temperature measurement point in the equipment in the xth equipment monitoring sub-area, S xq Expressed as the defect area, T, corresponding to the q electric wire in the equipment in the x equipment monitoring sub-area Standard of merit ,S License The method comprises the steps of setting standard temperature corresponding to equipment temperature measuring points and damage areas corresponding to permissions corresponding to equipment wires, wherein x represents a number corresponding to each equipment monitoring sub-area, x =1,2, and.
Preferably, the regional security analysis unit is further configured to analyze the security of the person corresponding to the smart park, and a specific analysis process of the regional security analysis unit is as follows:
step 1, analyzing the occurrence frequency of each security monitoring point corresponding to each acquisition person in a preset acquisition time period based on each acquisition person image of each security monitoring point in the preset acquisition time period to obtain the occurrence frequency abnormal index corresponding to each acquisition person in each security monitoring point, and marking the occurrence frequency abnormal index as alpha u′k U ' is a number corresponding to each security monitoring point, u ' =1',2',... V ', k is a number corresponding to each acquisition person, and k =1,2,... D, wherein each security monitoring point number and each security monitoring sub-region number are in a corresponding relationship.
Step 2, based on the images of the collected persons corresponding to the security monitoring points in the preset collection time period, action behavior features corresponding to the collected persons are extracted from the images, action behaviors corresponding to the collected persons in the preset collection time period of the security monitoring points are analyzed, action behavior abnormal indexes corresponding to the collected persons in the security monitoring points are obtained and are marked as psi u′k ；
And 3, calculating to obtain the safety evaluation index of the personnel in each security monitoring point by using a calculation formula based on the abnormal occurrence frequency index and the abnormal action index corresponding to each collected personnel in each security monitoring point.
Preferably, the calculation formula of the personnel safety assessment index in each security monitoring point is
Wherein, gamma is u′ The safety evaluation indexes corresponding to the personnel in the u' th security monitoring point are represented, the sigma 1 and the sigma 2 respectively represent the personnel frequency abnormality proportion weight and the personnel action behavior abnormality index, and the e is represented as a natural number.
Preferably, the specific output process of the energy consumption state and the security state corresponding to the intelligent park is as follows:
and comparing the energy consumption safety evaluation index corresponding to each layout building with a set standard energy consumption safety evaluation index, if the energy consumption safety evaluation index of a certain building is smaller than the set standard energy consumption safety evaluation index, judging that the energy consumption state corresponding to the layout building is an abnormal state, otherwise, judging that the energy consumption state corresponding to the layout building is a normal state.
The equipment fire safety, the article fire safety and the personnel safety are used as each security evaluation element, and then the equipment fire safety evaluation index corresponding to each equipment monitoring subregion, the article fire safety evaluation index corresponding to each security monitoring subregion and the personnel safety evaluation index in each security monitoring point are respectively compared with the set ratio equipment safety evaluation index, the standard article fire safety evaluation index and the standard personnel safety evaluation index correspondingly, so that the security state corresponding to each security evaluation element in the intelligent park is confirmed, wherein the security state comprises an abnormal state and a normal state.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the intelligent park information safety management system based on big data, the safety of the intelligent park is managed through the information of three dimensions of park energy consumption information, fire fighting information and personnel information, the multidimensional management of park safety is realized, the problem that hidden dangers of the intelligent park in the actual operation process cannot be reflected visually in the prior art is effectively solved, the risks of the intelligent park in the actual operation process are greatly avoided, powerful guarantee is provided for the stable operation of the park, and the safety management intensity and the safety management effect of the intelligent park are greatly improved;
2. according to the invention, through analyzing the energy consumption of the equipment, the internal line state of the equipment and the like, the development trend characteristic of the running state of the equipment in the public area of the designated park is effectively highlighted, so that the timeliness of the maintenance and response of abnormal equipment is greatly improved, and the maintenance cost of subsequent equipment is greatly reduced;
3. according to the intelligent park fire-fighting safety evaluation method, the fire-fighting information corresponding to the intelligent park is analyzed, and stacked objects in the public area of the intelligent park are carefully analyzed, so that the fire-fighting safety evaluation index of the objects corresponding to each security monitoring sub-area in the intelligent park is obtained, the probability of fire in the public area in the park is reduced to the greatest extent, the response efficiency of the fire in the public area in the park is also greatly guaranteed, and the economic loss of the park is further reduced;
4. according to the invention, security corresponding to the intelligent park is analyzed, the image acquisition is carried out on the personnel by setting the acquisition time period, and then the status of the personnel is judged from two dimensions of occurrence frequency and action characteristics corresponding to the personnel, so that the limitation in the current personnel management mode is broken, and the reference and rationality of the personnel status judgment result are effectively improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram showing the connection of modules of the system of the present invention;
FIG. 2 is a schematic diagram of a structure of a campus security information analyzing and processing module according to the present invention.
Detailed Description
While the foregoing is directed to embodiments of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow.
Referring to fig. 1, the invention provides a smart park information security management system based on big data, which comprises a park energy consumption information acquisition module, a park fire information monitoring module, a park personnel information monitoring module, a park security information analysis and processing module and a database;
based on the connection relation shown in the figure, the database is respectively connected with a park energy consumption information acquisition module, a park fire-fighting information monitoring module, a park personnel information monitoring module and a park safety information analysis and processing module; the garden safety information analyzing and processing module is respectively connected with the garden energy consumption information acquisition module, the garden fire-fighting information monitoring module and the garden personnel information monitoring module;
the park energy consumption information acquisition module is used for positioning numbers corresponding to the laid buildings from the information of the laid buildings corresponding to the intelligent park, and further extracting elevator power consumption and illumination power consumption corresponding to the laid buildings in the intelligent park in a preset acquisition period from the park energy consumption monitoring platform;
the system comprises a garden fire-fighting information monitoring module, a smart garden fire-fighting information monitoring module and a monitoring module, wherein the garden fire-fighting information monitoring module is used for positioning the layout region position corresponding to each equipment monitoring point and the layout region position corresponding to each security monitoring point from the layout monitoring information corresponding to the smart garden, dividing the smart garden into an equipment monitoring region and a security monitoring region, and monitoring the fire-fighting information corresponding to the equipment monitoring region and the security monitoring region;
illustratively, the fire fighting information corresponding to the equipment monitoring area and the security monitoring area is monitored, and the specific monitoring process comprises the following steps:
s1, dividing an equipment monitoring area into equipment monitoring sub-areas based on the layout area position corresponding to each equipment monitoring point, numbering the equipment monitoring sub-areas as 1,2, a.
S1-1, starting a monitoring camera in each equipment monitoring subregion to acquire images of equipment in each equipment monitoring subregion, and identifying the number of corresponding wire contacts in the equipment from the acquired images;
s1-2, taking each electric wire contact corresponding to the inside of equipment in each equipment monitoring sub-area as a temperature measuring point, and carrying out temperature acquisition on each temperature measuring point through an infrared temperature measuring instrument to obtain the temperature corresponding to each temperature measuring point in the inside of the equipment in each equipment monitoring sub-area;
s1-3, extracting a profile corresponding to a defect area in each wire in the equipment from an acquired equipment image corresponding to each equipment monitoring sub-area, and taking the temperature corresponding to each temperature measuring point in the equipment and the defect area corresponding to each wire in the equipment as fire fighting information of the equipment monitoring area as corresponding equipment hidden danger information in each equipment monitoring sub-area based on the defect area corresponding to each wire in the equipment monitoring sub-area;
s2, dividing the security monitoring area into security monitoring sub-areas based on the layout area position corresponding to each security monitoring area, numbering the security monitoring sub-areas according to a preset sequence, sequentially marking the number as 1,2,. Mu,. V, collecting images corresponding to the security monitoring sub-areas, and taking the images corresponding to the security monitoring sub-areas as fire protection information corresponding to the security monitoring area.
The campus personnel information monitoring module is used for acquiring images of personnel in each security monitoring point through a camera in the arrangement region position of each security monitoring point according to a preset acquisition time period based on the arrangement region position corresponding to each security monitoring point in the security monitoring region of the smart campus, so as to obtain each acquired personnel image corresponding to each security monitoring point in the preset acquisition time period;
the park safety information analyzing and processing module is used for analyzing the energy consumption safety and the security safety corresponding to the intelligent park, outputting the energy consumption state and the security state corresponding to the intelligent park, and displaying and early warning;
specifically, please refer to fig. 2, the park security information analyzing and processing module includes a regional energy consumption security analyzing unit and a regional security analyzing unit.
Further, the regional energy consumption safety analysis unit is used for analyzing the energy consumption safety corresponding to each building in the intelligent park, and the specific analysis process is as follows:
positioning the number of elevators and lighting lamps in the layout corresponding to each layout building from the information of the layout buildings corresponding to the intelligent park, extracting the unit time rated power consumption corresponding to the elevators and the unit time rated power consumption corresponding to the lighting lamps from the database, and calculating the elevator rated power consumption and the lighting lamp rated power consumption corresponding to each layout building in a preset acquisition period;
it is to be added that the unit time is hours.
Wherein, the rated power consumption calculation formula of the elevator corresponding to each building in the preset acquisition period is D rated r ＝SD r *z*T 0 ，D r rating The rated power consumption SD of the elevator corresponding to the r-th building in the preset acquisition period r The number of elevators arranged corresponding to the r-th elevator arrangement building is shown, z represents the rated power consumption of the elevator in unit time, and T 0 Representing the time length corresponding to the preset acquisition period;
wherein, the calculation formula of the rated power consumption of the lighting lamps corresponding to each building in the preset acquisition period is Z r rating ＝SZ r *w*T 0 ，Z r rating Indicating the rated power consumption SZ of the lighting lamp corresponding to the r-th building in the preset acquisition period r Expressing the number of lighting lamps arranged corresponding to the r-th building, wherein w is the rated power consumption of the lighting lamps in unit time;
acquire each of laying in wisdom garden in presetting acquisition cycle and construct a correspondenceThe elevator power consumption and the illumination power consumption are calculated by using a calculation formula, wherein the calculation formula is that the energy consumption safety evaluation index corresponding to each building is calculated
δ r Expressed as the energy consumption safety evaluation index, D, corresponding to the r-th layout building r ,Z r The power consumption, the illumination power and the D of the elevator corresponding to the r-th layout building in the preset acquisition period are represented rated r ,Z r rating The system comprises a power supply controller, a power supply controller and a power supply controller, wherein the power supply controller is used for indicating the rated power consumption of an elevator and the rated power consumption of an illumination lamp corresponding to an r-th building in a preset acquisition period, epsilon 1 and epsilon 2 are respectively indicated as an elevator power consumption correction coefficient and an illumination lamp power consumption correction coefficient, r is indicated as a building number corresponding to each building, and r =1,2.
Further, regional security protection analytic unit is used for carrying out the analysis to the fire safety that wisdom garden corresponds, and its concrete analytic process is as follows:
positioning the temperature corresponding to each temperature measuring point in the equipment in each equipment monitoring sub-area and the defect area corresponding to each electric wire in the equipment from the fire fighting information corresponding to the equipment monitoring area, calculating by using a calculation formula to obtain an equipment fire fighting safety evaluation index corresponding to each equipment monitoring sub-area, and recording as phi x X denotes the number corresponding to each device monitoring sub-area, x =1,2,... T, wherein,
mu 1 and mu 2 respectively represent the safety influence weight corresponding to the temperature of the equipment and the damage of the equipment, T xp Represents the temperature corresponding to the pth temperature measurement point in the equipment in the xth equipment monitoring sub-area, S xq Expressed as the defect area, T, corresponding to the q electric wire in the equipment in the x equipment monitoring sub-area Standard of merit ,S License The method comprises the steps that standard temperature corresponding to set equipment temperature measuring points and damage areas corresponding to permission corresponding to equipment electric wires are set, x represents the number corresponding to each equipment monitoring sub-area, x =1,2, and p represents the number corresponding to each temperature measuring point, and p =1,2, and the like，q＝1,2,......z；
According to the embodiment of the invention, the development trend characteristic of the running state of the equipment in the public area of the designated park is effectively highlighted by analyzing the energy consumption of the equipment, the internal line state of the equipment and the like, so that the timeliness of the maintenance and response of the abnormal equipment is greatly improved, and the maintenance cost of the subsequent equipment is greatly reduced.
Locating the image corresponding to each security monitoring subregion from the fire information corresponding to the security monitoring region, matching and comparing the image corresponding to each security monitoring subregion with the set fire characteristic image, analyzing the fire safety corresponding to each security monitoring subregion based on the matching result, and obtaining the fire safety evaluation index corresponding to each security monitoring subregion, wherein the analysis process comprises the following steps:
f1, if the image corresponding to a certain security monitoring subregion is successfully matched with the set fire characteristic image, positioning a fire area outline from the image corresponding to the security monitoring subregion so as to obtain the fire area, and calculating a fire safety evaluation index corresponding to the security monitoring subregion and recording the fire safety evaluation index as eta;
wherein,
m 0 the area of the fire area corresponding to the sub-area of the security monitoring is represented, m' is the area corresponding to the sub-area of the security monitoring, and k is a set reference fire area ratio.
F2, if the image corresponding to a certain security monitoring sub-region fails to be matched with the set fire characteristic image, positioning the area corresponding to the security monitoring sub-region, the type of the stacked articles corresponding to the security monitoring sub-region and the stacking area corresponding to each type of stacked articles from the image corresponding to the security monitoring sub-region;
f3, based on the type of the stacked articles corresponding to the security monitoring sub-region, positioning the set ignition point corresponding to each type of stacked articles in the security monitoring sub-region from the database, calculating a fire safety assessment index corresponding to the security monitoring sub-region by using a calculation formula, and recording the fire safety assessment index as the fire safety assessment indexBeta, thereby obtaining the fire safety evaluation index of the goods corresponding to each security monitoring subregion
Eta > beta, u represents the number corresponding to each security monitoring sub-region, and u =1,2.
Wherein,
R f representing a set ignition point corresponding to the f-th category of stacked articles in the sub-region of the security monitoring, R' is an ignition point threshold corresponding to the set region of the safe stacked articles, M f Is expressed as stacking area, M ', corresponding to the f type stacked article in the sub-area of the security monitoring' f The allowable stacking area corresponding to the fth category of stacked articles in the set security monitoring sub-region is represented, and M' represents the area corresponding to the security monitoring sub-region;
according to the embodiment of the invention, the stacked objects in the public area of the intelligent park are carefully analyzed, so that the fire safety evaluation index of the objects corresponding to each security monitoring sub-area in the intelligent park is obtained, the probability of fire in the public area in the park is reduced to the greatest extent, the response efficiency of the fire in the public area in the park is greatly ensured, and the economic loss of the park is further reduced.
Furthermore, the regional security analysis unit is further configured to analyze the personal security corresponding to the smart park, and a specific analysis process is as follows:
step 1, analyzing the occurrence frequency of each security monitoring point corresponding to each acquisition person in a preset acquisition time period based on each acquisition person image of each security monitoring point in the preset acquisition time period to obtain the occurrence frequency abnormal index corresponding to each acquisition person in each security monitoring point, and marking the occurrence frequency abnormal index as alpha u′k U ' is a number corresponding to each security monitoring point, u ' =1',2',... V ', k is a number corresponding to each acquisition person, and k =1,2,... D, wherein each security monitoring point number and each security monitoring sub-region number are in a corresponding relationship.
In a specific embodiment, the preset collection time period is 12 nights to 4 nights, people do not generally move in the time period park, the flow of people is small, and judgment on abnormal people is visual.
It should be noted that, the occurrence frequency corresponding to each acquisition person in the preset acquisition time period of each security monitoring point is analyzed, and the specific analysis process is as follows:
extracting the number of historical acquisition personnel corresponding to each security monitoring point of the target park, the facial features corresponding to each historical acquisition personnel and the historical acquisition times corresponding to each historical acquisition personnel from the park management background, thereby counting the comprehensive acquisition times corresponding to each historical acquisition personnel in each security monitoring point of the target park and recording the times as occurrence frequencies;
the method comprises the steps that facial features corresponding to collected persons are located from images of the collected persons corresponding to the collected points in a preset collection time period, the facial features corresponding to the collected persons of the collected points in the preset collection time period are matched and compared with the facial features corresponding to historical collected persons in the collected points, if the facial features corresponding to the collected persons of the monitored points are successfully matched with the facial features corresponding to the historical collected persons in the monitored points, the frequency of occurrence corresponding to the historical collected persons is used as the frequency of occurrence corresponding to the collected persons in the monitored points, if the facial features corresponding to the collected persons in the monitored points are failed to be matched with the facial features corresponding to the historical collected persons in the monitored points, the frequency of occurrence corresponding to the collected persons is marked as 1, and the frequency of occurrence corresponding to the collected persons of the monitored points in the preset collection time period is obtained in a sequential mode;
substituting the occurrence frequency of each acquisition person of each security monitoring point in a preset acquisition time period into a calculation formula
In the method, the abnormal frequency index f corresponding to each acquisition person in each security monitoring point is obtained u′k Expressed as the u' th security monitoring point in the preset acquisition time periodThe occurrence frequency corresponding to the kth acquisition personnel, and f' is the set occurrence frequency of the reference personnel.
Step 2, extracting action behavior characteristics corresponding to the collected persons from the images of the collected persons corresponding to the security monitoring points in the preset collection time period, analyzing the action behaviors corresponding to the collected persons in the preset collection time period of the security monitoring points to obtain action behavior abnormal indexes corresponding to the collected persons in the security monitoring points, and recording the action behavior abnormal indexes as psi u′k ；
It should be noted that, the action behavior corresponding to each acquisition person in the preset acquisition time period at each security monitoring point is analyzed, and the specific analysis process is as follows: acquiring action behavior characteristics corresponding to each acquisition person of each security monitoring point in a preset acquisition time period, matching and comparing the action behavior characteristics with the set abnormal action behavior characteristics, and recording an action behavior abnormal index corresponding to the acquisition person of a certain security monitoring point in the preset acquisition time period as x if the action behavior characteristics corresponding to the acquisition person in the certain security monitoring point are consistent with the set abnormal behavior characteristics 1 If the action behavior characteristic corresponding to a certain acquisition person in a certain security monitoring point is inconsistent with the set abnormal behavior characteristics, the action behavior abnormal index corresponding to the acquisition person in the security monitoring point in the preset acquisition time period is recorded as chi 2 In this way, the action behavior abnormal index psi corresponding to each acquisition person in each security monitoring point is obtained respectively u′k ，ψ u′k Taking the value of x 1 Or χ 2 ，χ 1 >χ 2 。
Step 3, based on the abnormal frequency index and the abnormal action behavior index corresponding to each collected person in each security monitoring point, calculating to obtain the safety evaluation index of the person in each security monitoring point by using a calculation formula, wherein the specific calculation formula is
Wherein, gamma is x′ The safety evaluation indexes are expressed as safety evaluation indexes corresponding to the personnel in the x' th security monitoring point in the preset acquisition time period, and sigma 1 and sigma 2 respectively express the personnel frequencyThe proportion weight of the secondary abnormality and the abnormal index of the action behavior of the person are expressed as natural numbers.
According to the embodiment of the invention, the image acquisition is carried out on the personnel by setting the acquisition time period, and then the state of the personnel is judged from two dimensions of the occurrence frequency and the action characteristic corresponding to the personnel, so that the limitation of the current personnel management mode is broken, and the reference and the rationality of the personnel state judgment result are effectively improved.
It should be further noted that the specific output process of the energy consumption state and the security state corresponding to the intelligent park is as follows:
and comparing the energy consumption safety evaluation index corresponding to each of the laid buildings with a set standard energy consumption safety evaluation index, if the energy consumption safety evaluation index of a certain building is smaller than the set standard energy consumption safety evaluation index, judging that the energy consumption state corresponding to the laid building is an abnormal state, otherwise, judging that the energy consumption state corresponding to the laid building is a normal state.
The equipment fire safety, the article fire safety and the personnel safety are used as each security evaluation element, and then the equipment fire safety evaluation index corresponding to each equipment monitoring subregion, the article fire safety evaluation index corresponding to each security monitoring subregion and the personnel safety evaluation index in each security monitoring point are respectively compared with the set standard equipment safety evaluation index, the standard article fire safety evaluation index and the standard personnel safety evaluation index, so that the security state corresponding to each security evaluation element in the intelligent park is confirmed, wherein the security state comprises an abnormal state and a normal state.
In a specific embodiment, the specific confirmation process of the security state corresponding to each security evaluation element in the smart park is as follows:
comparing the equipment fire safety evaluation index corresponding to each equipment monitoring subregion with a set standard equipment fire safety evaluation index, if the equipment fire safety evaluation index corresponding to a certain equipment monitoring subregion is smaller than the set standard equipment fire safety evaluation index, judging that the security state corresponding to the equipment monitoring subregion is an early warning state, otherwise, judging that the security state is a normal state;
comparing the article fire safety evaluation index corresponding to each security monitoring subregion with a set standard article fire safety evaluation index, if the article fire safety evaluation index corresponding to a certain security monitoring subregion is smaller than the set standard article fire safety evaluation index, judging that the security state corresponding to the security monitoring subregion is an early warning state, otherwise, judging that the security state is a normal state;
and comparing the personnel safety evaluation index in each security monitoring point with a set standard personnel safety evaluation index, if the personnel safety evaluation index in a certain security monitoring point in a preset acquisition time period is smaller than the set standard personnel safety evaluation index, judging that the security state of the security monitoring point in the preset acquisition time period is an abnormal state, otherwise, judging that the security state of the security monitoring point is a normal state.
The database is used for storing building layout information and monitoring layout information corresponding to the intelligent park, storing unit-time rated power consumption corresponding to the elevator and unit-time rated power consumption corresponding to the lighting lamp, and storing set burning points corresponding to various types of stacked articles, wherein the building layout information is the number of the buildings, the building number corresponding to each building, the elevator layout number and the lighting lamp layout number; the layout monitoring information comprises the number of the laid equipment monitoring points, the number of the security monitoring points, the layout region position corresponding to each equipment monitoring point and the layout region position corresponding to each security monitoring point.
According to the embodiment of the invention, the safety of the intelligent park is managed through three-dimensional information of park energy consumption information, fire fighting information and personnel information, the multi-dimensional management of the park safety is realized, the problem that the hidden danger of the intelligent park in the actual operation process cannot be intuitively reflected in the current technology is effectively solved, the risk of the intelligent park in the actual operation process is greatly avoided, the stable operation of the park is powerfully guaranteed, and the safety management intensity and the safety management effect of the intelligent park are greatly improved.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (10)
1. The utility model provides a wisdom garden information security management system based on big data which characterized in that includes:
the park energy consumption information acquisition module is used for positioning numbers corresponding to the buildings from the information of the buildings corresponding to the intelligent park, and further extracting elevator power consumption and illumination power consumption corresponding to the buildings in a preset acquisition period from the park energy consumption monitoring platform;
the system comprises a campus fire information monitoring module, a monitoring module and a monitoring module, wherein the campus fire information monitoring module is used for positioning the layout area position corresponding to each equipment monitoring point and the layout area position corresponding to each security monitoring point from the layout monitoring information corresponding to the smart campus, dividing the smart campus into an equipment monitoring area and a security monitoring area, and monitoring the fire information corresponding to the equipment monitoring area and the security monitoring area;
the campus personnel information monitoring module is used for acquiring images of personnel in each security monitoring point through a camera in the arrangement region position of each security monitoring point according to a preset acquisition time period based on the arrangement region position corresponding to each security monitoring point in the security monitoring region of the smart campus, so as to obtain each acquired personnel image corresponding to each security monitoring point in the preset acquisition time period;
the park safety information analyzing and processing module is used for analyzing the energy consumption safety and the security safety corresponding to the intelligent park, outputting the energy consumption state and the security state corresponding to the intelligent park, and displaying and early warning;
and the database is used for storing the building layout information and the monitoring layout information corresponding to the intelligent park, storing the unit time rated power consumption corresponding to the elevator and the unit time rated power consumption corresponding to the lighting lamp, and storing the set burning point corresponding to each type of stacked articles.
2. The intelligent campus information security management system based on big data as claimed in claim 1, wherein: the number of the laid buildings, the number of buildings corresponding to each laid building, the number of laid elevators and the number of laid lighting lamps are the layout building information; the layout monitoring information comprises the number of the laid equipment monitoring points, the number of the security monitoring points, the layout region position corresponding to each equipment monitoring point and the layout region position corresponding to each security monitoring point.
3. The intelligent campus information security management system based on big data as claimed in claim 1, wherein: monitoring corresponding fire-fighting information in an equipment monitoring area and a security monitoring area, wherein the specific monitoring process comprises the following steps:
s1, dividing an equipment monitoring area into equipment monitoring sub-areas based on the layout area position corresponding to each equipment monitoring point, numbering the equipment monitoring sub-areas as 1,2, a.
S1-1, starting a monitoring camera in each equipment monitoring subregion to acquire images of equipment in each equipment monitoring subregion, and identifying the number of corresponding wire contacts in the equipment from the acquired images;
s1-2, taking each electric wire contact corresponding to the inside of equipment in each equipment monitoring sub-area as a temperature measuring point, and carrying out temperature acquisition on each temperature measuring point through an infrared temperature measuring instrument to obtain the temperature corresponding to each temperature measuring point in the inside of the equipment in each equipment monitoring sub-area;
s1-3, extracting a profile corresponding to a defect area in each wire in the equipment from an acquired equipment image corresponding to each equipment monitoring sub-area, and taking the temperature corresponding to each temperature measuring point in the equipment and the defect area corresponding to each wire in the equipment as fire fighting information of the equipment monitoring area as corresponding equipment hidden danger information in each equipment monitoring sub-area based on the defect area corresponding to each wire in the equipment monitoring sub-area;
s2, dividing the security monitoring area into security monitoring sub-areas based on the layout area position corresponding to each security monitoring area, numbering the security monitoring sub-areas according to a preset sequence, sequentially marking the number as 1,2,. Mu,. V, collecting images corresponding to the security monitoring sub-areas, and taking the images corresponding to the security monitoring sub-areas as fire protection information corresponding to the security monitoring area.
4. The intelligent campus information security management system based on big data as claimed in claim 1, wherein: the park safety information analyzing and processing module comprises a regional energy consumption safety analyzing unit and a regional security analyzing unit.
5. The intelligent campus information security management system based on big data as claimed in claim 4, wherein: the regional energy consumption safety analysis unit is used for analyzing the energy consumption safety corresponding to each building in the intelligent park, and the specific analysis process is as follows:
positioning the number of elevators and lighting lamps in the layout corresponding to each layout building from the information of the layout buildings corresponding to the intelligent park, extracting the unit time rated power consumption corresponding to the elevators and the unit time rated power consumption corresponding to the lighting lamps from the database, and calculating the elevator rated power consumption and the lighting lamp rated power consumption corresponding to each layout building in a preset acquisition period;
obtaining the power consumption of the elevator and the lighting power consumption corresponding to each building in the intelligent park in a preset acquisition period, and calculating the energy consumption safety assessment index corresponding to each building by using a calculation formula, wherein the calculation formula is
δ r Expressed as the energy consumption safety evaluation index, D, corresponding to the r-th layout building r ,Z r The power consumption, the illumination power and the D of the elevator corresponding to the r-th layout building in the preset acquisition period are represented rated r ,Z r rating Expressing the rated power consumption of the elevator and the rated power consumption of the lighting lamp corresponding to the r-th building in a preset acquisition period, wherein epsilon 1 and epsilon 2 are respectively expressed as an elevator power consumption correction coefficient and lightingAnd the lamp power consumption correction coefficient r is expressed as a building number corresponding to each laid building, and r =1,2.
6. The intelligent park information safety management system based on big data according to claim 4, characterized in that: regional security protection analytic unit is used for carrying out the analysis to the fire safety that wisdom garden corresponds, and its concrete analytic process is as follows:
positioning the temperature corresponding to each temperature measuring point in the equipment in each equipment monitoring sub-area and the defect area corresponding to each electric wire in the equipment from the fire fighting information corresponding to the equipment monitoring area, calculating by using a calculation formula to obtain an equipment fire fighting safety evaluation index corresponding to each equipment monitoring sub-area, and recording as phi x X represents a number corresponding to each device monitoring sub-area, and x =1,2, ·... T;
positioning images corresponding to all security monitoring sub-regions from fire information corresponding to the security monitoring regions, matching and comparing the images corresponding to all security monitoring sub-regions with the set fire characteristic images, analyzing the fire safety corresponding to all security monitoring sub-regions based on matching results, and obtaining fire safety evaluation indexes corresponding to all security monitoring sub-regions, wherein the analyzing process comprises the following steps:
f1, if the image corresponding to a certain security monitoring subregion is successfully matched with the set fire characteristic image, positioning a fire area outline from the image corresponding to the security monitoring subregion so as to obtain the fire area, and calculating a fire safety evaluation index corresponding to the security monitoring subregion and recording the fire safety evaluation index as eta;
f2, if the matching of the image corresponding to a certain security monitoring subregion and the set fire characteristic image fails, locating the area corresponding to the security monitoring subregion, the type of stacked articles corresponding to the security monitoring subregion and the stacking area corresponding to each type of stacked articles from the image corresponding to the security monitoring subregion;
f3, based on the type of the stacked articles corresponding to the sub-region of the security monitoring, locating the set burning point corresponding to each type of stacked articles in the sub-region of the security monitoring from the database, and facilitatingCalculating the fire safety assessment index corresponding to the sub-region of the security monitoring by using a calculation formula, and recording as beta, thereby obtaining the fire safety assessment index of the article corresponding to each sub-region of the security monitoring
Eta > beta, u represents the number corresponding to each security monitoring sub-area, and u =1,2.
7. The intelligent campus information security management system based on big data as claimed in claim 6, wherein: the fire safety assessment index of the equipment corresponding to each equipment monitoring subarea is
Wherein, mu 1 and mu 2 respectively represent the safety influence weight corresponding to the temperature of the equipment and the damage of the equipment, T xp Represents the temperature corresponding to the pth temperature measurement point in the equipment in the xth equipment monitoring sub-area, S xq Expressed as the defect area, T, corresponding to the q electric wire in the equipment in the x equipment monitoring sub-area Standard of merit ,S License The method comprises the steps of setting standard temperature corresponding to a temperature measuring point of equipment and damage area corresponding to permission corresponding to an electric wire of the equipment, wherein x is a number corresponding to each monitored sub-area of the equipment, x =1,2, and p is a number corresponding to each temperature measuring point, p =1,2, and q is a number corresponding to each electric wire, and q =1,2.
8. The intelligent campus information security management system based on big data as claimed in claim 4, wherein: regional security protection analytic unit still is used for carrying out the analysis to the personnel's safety that wisdom garden corresponds, and its specific analytic process is as follows:
step 1, presetting acquisition of each security monitoring point based on each acquired person image corresponding to each security monitoring point in a preset acquisition time periodAnalyzing the occurrence frequency corresponding to each acquisition personnel in the time period to obtain the abnormal occurrence frequency index corresponding to each acquisition personnel in each security monitoring point, and marking the abnormal occurrence frequency index as alpha u′k U ' is a number corresponding to each security monitoring point, u ' =1',2',... V ', k is a number corresponding to each acquisition person, and k =1,2,... D, wherein each security monitoring point number is in a corresponding relationship with a security monitoring sub-region number.
Step 2, extracting action behavior characteristics corresponding to the collected persons from the images of the collected persons corresponding to the security monitoring points in the preset collection time period, analyzing the action behaviors corresponding to the collected persons in the preset collection time period of the security monitoring points to obtain action behavior abnormal indexes corresponding to the collected persons in the security monitoring points, and recording the action behavior abnormal indexes as psi u′k ；
And 3, calculating to obtain the safety evaluation index of the personnel in each security monitoring point by using a calculation formula based on the abnormal occurrence frequency index and the abnormal action index corresponding to each collected personnel in each security monitoring point.
9. The intelligent campus information security management system based on big data as claimed in claim 8, wherein: the calculation formula of the personnel safety assessment index in each security monitoring point is
Wherein, γ u′ The safety evaluation indexes corresponding to the personnel in the u' th security monitoring point are represented, sigma 1 and sigma 2 respectively represent the proportion weight of the frequency abnormality of the personnel and the abnormal index of the action behavior of the personnel, and e represents a natural number.
10. The intelligent campus information security management system based on big data as claimed in claim 1, wherein: the energy consumption state that wisdom garden corresponds and the concrete output process of security protection state do:
comparing the energy consumption safety evaluation index corresponding to each layout building with a set standard energy consumption safety evaluation index, if the energy consumption safety evaluation index of a certain building is smaller than the set standard energy consumption safety evaluation index, judging that the energy consumption state corresponding to the layout building is an abnormal state, otherwise, judging that the energy consumption state corresponding to the layout building is a normal state;
the equipment fire safety, the article fire safety and the personnel safety are used as each security evaluation element, and then the equipment fire safety evaluation index corresponding to each equipment monitoring subregion, the article fire safety evaluation index corresponding to each security monitoring subregion and the personnel safety evaluation index in each security monitoring point are respectively compared with the set ratio equipment safety evaluation index, the standard article fire safety evaluation index and the standard personnel safety evaluation index correspondingly, so that the security state corresponding to each security evaluation element in the intelligent park is confirmed, wherein the security state comprises an abnormal state and a normal state.
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